This study explored the acceptance of cloud computing (CC) services by small and medium enterprises (SMEs) in Lagos, Nigeria, which has been missing from CC services literature. It aimed to understand the motivations for adoption, the uses of the services, and the benefits they derive from it. The uses and gratification theory was applied as the theoretic framework for this endeavor. An online survey with close-ended and open-ended questions was distributed to 1200 randomly selected participants through email. In total, 392 valid responses were collected and analyzed using descriptive statistics and categories. The results found that SMEs in Lagos, Nigeria had a low level of awareness and appreciation of CC services. The adoption rate was also low. Unlike their counterparts in other regions, SMEs primary concerns were service downtime, stable power supply, and better internet access. The study found that SMEs were not taking full advantage of the capabilities of CC services. Some sections, however, were doing better than others, such as the information and communications sub-sector. This study suggested that targeted interventions should be conducted to raise the awareness of CC services in SMEs, and to improve their efficient and effective use of CC services. The uses and gratification theory was appropriate for guiding this study to understand the acceptance and use of CC services by SMEs in Lagos, Nigeria.
This dissertation is organized in a traditional format while including three essays that address specific research questions. Essay 1 examined the relationship between physical activity and community engagement and their effect on mental well-being among older men and women. Data from National Health and Aging Trends Study (NHATS) from 2018 to 2020 were explored and the posited relationships were tested. This essay provides empirical support that older adults who are reasonably active and involved in the community have greater mental well-being than those who isolate themselves. Essay 2 provides insight into older adults' motivation to improve their physical activity through the use of a fitness tracker. The key finding from this study is that wearables, especially fitness trackers, can significantly facilitate increased physical activity. Essay 3 is a mixed-methods study to understand older adults' perception of the usefulness of fitness trackers and interaction with such devices. Findings suggest that to increase the adoption of fitness trackers among older adults, makers could improve the esthetics and quality of the wristband in addition to the battery life of the tracker.
There is an increasingly number of students taking online classes in lieu of or in addition to the traditional face-to-face format. With this trend, there are questions that naturally come to the surface. The biggest question being "is teaching in the online arena just as effective as the face-to-face arena?" This dissertation aims to pursue that line of questioning by analyzing students' perceptions of the teaching effectiveness for instructors who teach the same course in both an online and face-to-face format in the same semester. The data are analyzed through the lens of the social capital theory. Social capital has never been applied to the classroom before as its focus has traditionally been on community development. However, social capital theory addresses interpersonal relationships and their impact on knowledge sharing behavior. This theory identifies three dimensions, which appear to have a parallel track with the student evaluation components; each is analyzed against each other. These dimensions include structured, cognitive and relational and are compared to the components of the student evaluation tool, which includes organization and explanation of materials, learning environment and self-regulated learning.
This study applied the impression management theory in the context of social networking to investigate the generalized research question of this dissertation which is "Do active social media presence and various privacy concerns influence online behaviors of students on social media?" The results and conclusions are presented via the conduct of three different studies and the summary provides insights and explain the overall contribution of the research. For each study we developed a research model for which data was collected separately for each of these models. Hypotheses of each model were tested by partial least squares- structural equation modeling techniques using SmartPLS 2.0. Our findings confirm the hypotheses and showed that all the predictors positively influence online social networking behaviors. Active social media presence is operationalized as predictors such as SNS stalking awareness, Selective disclosure, desired differential persona, impression motivation, and information trustworthiness. Privacy concerns have been operationalized as SNS privacy awareness, technology awareness. Online behaviors have been operationalized as responsible image and reckless image.
Artificial intelligence (AI) and predictive modeling are tools used to diagnose a disease, determine how much a home is worth, estimate insurance risks, and detect fraud. AI and predictive modeling are so ubiquitous that they can be why one gets spam and why spam is automatically deleted. Information science integrates interdisciplinary elements of data-driven, behavioral, design, interpretive, and analytical research methodologies to design and understand interactions between digital media, information systems, and humans. This research focuses on the interaction between humans, AI, and predictive models. This research proposes a theoretical framework and a conceptual research model to understand the antecedents to reliance on AI and predictive modeling. The dissertation follows a traditional format that includes three studies. Study 1 employed a deductive quantitative research approach as a survey to model the relationship between trust in science and reliance on formal news sources. Study 2 employed a deductive quantitative research approach as a survey to understand the impact of framing questions and consider an alternative method of measuring society's reliance on science using predictive models. Study 3 employed a deductive quantitative research approach in the form of a survey to posit a new model based on the first two studies. This study benefited from a Toulouse Graduate School grant to fund research using the crowdsourcing platform https://lucidtheorem.com/ to generate a stratified sample of the U.S. population.
The purpose of this study was to collect design requirements from women engineers on artificial intelligence teammates such as Microsoft Teams, Slack, and Trello. A mixed methods research design was used for this study with an online survey and semi-structure interviews. The study results revealed design requirements from women engineers including solutions to sociotechnical issues that could arise from artificial intelligence teammates in the workplace. The results showed various ways women engineers collaborate in the workplace with and without artificial intelligence. Additionally, women engineers' attitude towards artificial intelligence was examined to identify if there was a correlation to self-efficacy. This research study fills a previous study gap that solicited design requirements from research scientists, by soliciting practitioners. Practitioners such as women engineers are underrepresented in the workplace, and they could benefit from an artificial intelligence teammate with their design requirements. Finally, this study contributes to the information science literature on collaborative information seeking, artificial intelligence design, and engineers' information seeking behaviors.
Research in scholarly communication is usually limited to the use and dissemination of scientific material by scholars. This excludes the transfer of knowledge from research producers to service providers. Some may argue the primary function of science is to investigate the conditions in the lab so everyday interactions with the environment are more effective and efficient. This is the underlying philosophy of the science of behavior analysis. Comprised of a basic science, an applied science and a philosophy the field of behavior analysis relies on research developments to inform effective practice. Guided by dissemination processes studied in information science, this investigation revealed the content layer in behavior analysis is primarily comprised of journal articles. Ninety four percent of the research artifacts cited in the current content layer are from journal articles. Other dissemination channels used to develop the behavior analytic content layer included scientific magazine articles, oral reports, dissertations and theses, and unpublished manuscripts. The information use environment for professionals in this field is very different than that of the scholars; most professionals do not have access to a university library. Therefore, the research producers are disseminating developments via communication channels some service providers cannot access. This investigation reveals the only dissemination channel that provides continuous access to the content layer is reaching out via informal communication; All other dissemination channels do not provide access to the entire content layer, do not provide the entire scholarly work, and/or include a barrier to access (often an associated cost). This is a concern for the field of behavior analysis as professional recommendations cannot be based on the best available evidence if the evidence is not accessible. This is a concern for the field of information science as the study of scholarly communication should not be limited to scholars alone. The process of …
In this multivariate correlational study, the researcher examined the course culture of an online graduate course whose environment exhibited characteristics of a Community of practice (CoP). An online survey captured data used to explore the relationships among variables shown to describe a CoP in field environments and among student perceptions of their experience in the course culture. A canonical correlation analysis (CCA) and commonality analysis (CA) were conducted using five predictor variables and three criterion variables to evaluate the degree and direction of the relationships. The CCA revealed that the full model was significant, explaining approximately 74% of the variance among the two synthetic variates. Impact, faculty leadership, and connection were the largest contributors to the predictor variate. The criterion variate was primarily explained by value and perceived CoP, with exposure to the profession providing a smaller contribution. The CA confirmed these findings. Results from this study indicate that a CoP could be fostered in an online graduate course. The overall significance of the model indicates teachers can nurture an environment wherein graduate students will take the initiative to work with others to create and acquire knowledge that creates a sense of professional connection with each other and with the profession overall. The results of this study suggest further empirical research in implementing and assessing CoPs in online graduate courses is warranted.
From the very beginning, library education has been a mixture of theory and practice. Dewey required apprenticeships to be part of the first library school at the University of Chicago as a method to indoctrinate new professional. Today, acculturation is incorporated into the professional education through a large variety of experiential learning techniques, including internships, practicum, field work, and service learning projects, all of which are designed to develop some level of professional skills within an information organization. But, what is done for understanding library culture? It is said that one cannot truly recognize the extent of one's own cultural assumptions, until they have experienced another. This study followed a group of LIS graduate students that took that next step – going to Russia. By employing a critical hermeneutic methodology, this study sought to understand what value students gain by from working on an assessment project in an international school library. Using a horizon analysis, the researcher established the worldview of participants prior to their departure, analyzed their experience through post-experience interviews, and constructed an understanding of value. Among other concepts, the researcher looked specifically to see whether "library cultural competency", understanding library culture in global context, was developed through working on a service learning project within an international school library. This dissertation provides feedback for the program leaders and ideas for future research.
The exponential growth in medical pharmaceuticals and related clinical trials have created a need to better understand the decision-making factors in the processes for developing hospital medication formularies. The purpose of the study was to identify, rank, and compare major factors impacting hospital formulary decision-making among three prescriber groups serving on a hospital's pharmacy and therapeutics (P&T) committee. Prescribers were selected from the University of Texas, MD Anderson Cancer Center which is a large, multi-facility, academic oncology hospital. Specifically, the prescriber groups studied were comprised of physicians, midlevel providers, and pharmacists. A self-administered online survey was disseminated to participants. Seven major hospital formulary decision-making factors were identified in the scientific literature. Study participants were asked to respond to questions about each of the hospital formulary decision-making factors and to rank the various formulary decision-making factors from the factor deemed most important to the factor deemed least important. There are five major conclusions drawn from the study including three similarities and two significant differences among the prescriber groups and factors. Similarities include: (1) the factor "pharmacy staff's evaluation of medical evidence including formulary recommendations" was ranked highest for all three prescriber groups; (2) "evaluation of medications by expert physicians" was ranked second for physicians and midlevel providers while pharmacists ranked it third; and (3) the factor, "financial impact of the treatment to the patient" was fifth in terms of hospital formulary decision-making statement and ranking by all three prescriber groups. Two significant differences include: (1) for the hospital-formulary decision making statement, "I consider the number of patients affected by adding, removing, or modifying a drug on the formulary when making hospital medication formulary decisions," midlevel providers considered this factor of significantly greater importance than did physicians; and (2) for the ranked hospital formulary decision-making factor, "financial impact of treatment to the …
This study examines the background and qualifications of plaintiff and defense experts using the H-Index score as quantification of expert background and qualifications. The goal is to better understand the similarities and differences among the professionals offering paid expert witness testimony in mild traumatic brain injury (mTBI) civil litigation. In this quantitative study, descriptive statistics include the mean and standard deviation scores for the data to support examining measures of central tendency and variance, respectively. The study includes the use of logistic regression and the Wilcoxon signed-rank test, and their statistical assumptions were tested to determine whether they would be used or if it was more appropriate to use a non-parametric test. The study included two research questions: How do the qualifications of plaintiff and defense expert witnesses in mild traumatic brain injury civil litigation compare? and to what extent does a higher h-index correlate with a favorable litigation outcome in a mild traumatic brain injury case? The findings for the hypothesis tests associated with the research questions led to the acceptance of the null hypothesis in each test. There was a lack of asymptotic significance in Hypothesis 1 and a lack of significance in Hypothesis 2. The findings from these tests shall support the discussion of the implications of this research and the direction of future research.
Job centers aid businesses seeking qualified employees and assist job seekers to select and contact employment and training services. Job seekers are also offered the opportunity to assess their skills, abilities, qualifications, and readiness. Furthermore, job centers ensure that job seekers are complying with requirements that they must meet to benefit from job assistance programs such as unemployment insurance. Yet, claimants often procrastinate and/or suspend their job search efforts even though such actions can make them lose their free time and entitlements, and more importantly they may lose the opportunity to take advantage of free information, services, training, and financial assistance for getting a job to which they have already made a claim. The current work looks to Chatman's "small worlds" work, Johnson's comprehensive model of information seeking, and Wilson's "costly ignorance" construct for contributions to understanding such behavior. Identification of a particular trait or set of traits of job seekers during periods of unemployment will inform a new Job Seeking Activities Model (JSAM). This study purposely examines job seeker information behavior and the factors which influence job seekers' behavior, in particular, family tangible support as a social norm effect. A mixed method, using questionnaires for job hunting completers and non-completers and interviews for experts, was employed for data collection. Quantitative data analysis was conducted to provide the Cronbach α coefficient, Pearson's product moment correlation, an independent-sample t-test, effect size, and binary Logit regression. The qualitative data generated from the interview transcript for each section of the themes and subthemes were color coded. Finally, simultaneous triangulation was carried out to confirm or contradict the results from each method. The findings show that social norms, particularly uncontrolled social support provided by their families, are more likely to make job seekers ignore the relevant information about jobs available to them in favor …
Social media is considered a particularly conducive arena for hate speech. Counter speech, which is a "direct response that counters hate speech" is a remedy to address hate speech. Unlike content moderation, counter speech does not interfere with the principle of free and open public spaces for debate. This dissertation focuses on the (a) automatic detection and (b) analyses of the effectiveness of counter speech and its fine-grained strategies in user-generated web content. The first goal is to identify counter speech. We create a corpus with 6,846 instances through crowdsourcing. We specifically investigate the role of conversational context in the annotation and detection of counter speech. The second goal is to assess and predict conversational outcomes of counter speech. We propose a new metric to measure conversation incivility based on the number of uncivil and civil comments as well as the unique authors involved in the discourse. We then use the metric to evaluate the outcomes of replies to hate speech. The third goal is to establish a fine-grained taxonomy of counter speech. We present a theoretically grounded taxonomy that differentiates counter speech addressing the author of hate speech from addressing the content. We further compare the conversational outcomes of different types of counter speech and build models to identify each type. We conclude by discussing our contributions and future research directions on using user-generated counter speech to combat online hatred.
The research examines the relationship between cyber addiction (excessive use of the Internet, CA), information overload (IO), and assesses their impact on workplace productivity. A multi-methods approach is used employing the Internet Addiction Test (IAT) and a quantitative survey design to assess and test the stated hypothesis. The study used random sampling methods targeting 150 respondents from different information technology departments of various organizations. The study hypothesizes that CA and IO have a reciprocal association, which adversely affects workplace productivity and employee performance. From the findings, IAT scores increase with an associated possibility of reporting burnout, fatigue, and other components associated with CA and IO. Also, CA and IO were significantly correlated, as evaluated by the chi-square test, although the same approach did not yield significant associations between CA and perceived internet dependence. Other findings CA components, such as social media use, significantly associated with task postponement and burnout. As well, CA affected IO with substantial impacts on workplace productivity. The paper highlights managerial aspects that organizations should consider in optimizing the output of their staff. Recommendations include wellness programs, altering the leadership and management styles, and sensitizing the employees on the adverse effects caused by the two variables.
In this research the focus is on data-centric AI with a specific concentration on data quality evaluation and improvement for machine learning. We first present a practical framework for data quality evaluation and improvement, using a legal domain as a case study and build a corpus for legal argument mining. We first created an initial corpus with 4,937 instances that were manually labeled. We define five data quality evaluation dimensions: comprehensiveness, correctness, variety, class imbalance, and duplication, and conducted a quantitative evaluation on these dimensions for the legal dataset and two existing datasets in the medical domain for medical concept normalization. The first group of experiments showed that class imbalance and insufficient training data are the two major data quality issues that negatively impacted the quality of the system that was built on the legal corpus. The second group of experiments showed that the overlap between the test datasets and the training datasets, which we defined as "duplication," is the major data quality issue for the two medical corpora. We explore several widely used machine learning methods for data quality improvement. Compared to pseudo-labeling, co-training, and expectation-maximization (EM), generative adversarial network (GAN) is more effective for automated data augmentation, especially when a small portion of labeled data and a large amount of unlabeled data is available. The data validation process, the performance improvement strategy, and the machine learning framework for data evaluation and improvement discussed in this dissertation can be used by machine learning researchers and practitioners to build high-performance machine learning systems. All the materials including the data, code, and results will be released at: https://github.com/haihua0913/dissertation-dqei.
Indigenous communities around the world are losing their languages at accelerating rates to the effects of the climate crisis and global capitalism. To preserve samples of these languages facing endangerment and extinction, samples of language use (e.g., audio-video recordings, photographs, textual transcriptions, translations, and analyses) are created and stored in language archives: repositories intended to provide long-term preservation of and access to language materials. In recent years, archives of all kinds are considering their origins and audiences. With the emergence of the community paradigm of archiving framework, the roles of archivists, communities, and institutions are under re-examination. Language archives too are reflecting this trend, as it becomes more common for speakers of Indigenous languages (also known as language communities) to document and archive their own languages and histories. As the landscape of language archiving expands, we now see increased emphasis on the re-use of archival material, particularly to support language revitalization—efforts to increase and maintain the use of the language. There are calls for language documentation (and, by extension, language archiving) to prioritize revitalization efforts. This dissertation is a case study of one language archive collection: the Boro Language Resource in the Computational Resource for South Asian Languages (CoRSAL) archive. The Boro Language Resource was created by Boro community members who are both experienced in linguistics and pedagogy and active in language revitalization efforts including research, educational, and cultural initiatives. This case study explores how the collection was designed, and how the material will be used in future language revitalization activities. Because this collection exemplifies the view of language documentation and archiving as revitalization-driven practices, the findings of this case study stand to inform future community archiving efforts aiming to support language revitalization.
Accurately predicting the deck condition rating of a bridge is crucial for effective maintenance and repair planning. Despite significant research efforts to develop deterioration models, a nationwide model has not been developed. This study aims to identify an appropriate machine learning (ML) algorithm that can accurately predict the deck condition ratings of the nation's bridges. To achieve this, the study collected big bridge data (BBD), which includes NBI, traffic, climate, and hazard data gathered using geospatial information science (GIS) and remote sensing techniques. Two sets of data were collected: a BBD for a single year of 2020 and a historical BBD covering a five-year period from 2016 to 2020. Three ML algorithms, including random forest, eXtreme Gradient Boosting (XGBoost), and Artificial Neural Network (ANN), were trained using 319,404 and 1,246,261 bridge decks in the BBD and the historical BBD, respectively. Results showed that the use of historical BBD significantly improved the performance of the models compared to BBD. Additionally, random forest and XGBoost, trained using the historical BBD, demonstrated higher overall accuracies and average F1 scores than the ANN model. Specifically, the random forest and XGBoost models achieved overall accuracies of 83.4% and 79.4%, respectively, and average F1 scores of 79.7% and 77.5%, respectively, while the ANN model achieved an overall accuracy of 58.8% and an average F1 score of 46.1%. The permutation-based variable importance revealed that the hazard data related to earthquakes did not significantly contribute to model development. In conclusion, tree-based ensemble learning algorithms, such as random forest and XGBoost, trained using updated historical bridge data, including NBI, traffic, and climate data, provide a useful tool for accurately predicting the deck condition ratings of bridges in the United States, allowing infrastructure managers to efficiently schedule inspections and allocate maintenance resources.
Although digital equity is a recognized challenge in our K-12 school system, there is little research in using a holistic framework to investigate pre-conditions necessary for K-12 students to participate in digital learning and online processes. A conceptual framework of students' digital opportunity (SDO) is developed to represent the essential components of digital connectivity. The four key components are broadband internet availability, broadband usage, digital device ownership, and speed quality. A composite measure of SDO was created to quantitatively represent and measure the differences across 3,138 counties in the United States. Furthermore, spatial autocorrelation was applied to evaluate if the distribution of the SDO score is associated with geographical characteristics at the county level. The result showed the presence of significant county-level clusters with concentrations of high or low SDO scores. While the spatial analysis provided evidence of where the gaps in digital opportunities are located, there are underlying factors at the micro level that would need further investigation. This study suggests a collective approach between private and public entities to address the K-12 digital equity issue. The necessary conditions presented in the SDO model must be addressed first in order to bring change to K-12 students and schools in terms of obtaining high quality and reliable broadband internet and digital devices for learning with technology. Two research outputs are available from this research to allow others to further evaluate digital equity among K-12 schools and students.
School librarians create an atmosphere where learners feel empowered. Moreover, school library programming should support diversity, equity, and inclusive learning opportunities to facilitate student success. Thus, school librarians are expected to model and advocate for equitable learning spaces while considering the universal design for learning approach to improving accessibility, utilization, and relevance for all library patrons. Although it has been established that school library standards support diversity, equity, and inclusion (DEI), more is needed to know about the impact of a crisis on school library programming and services. In addition, extensive research has not been conducted to determine school librarians' responsiveness and strategies to provide services for their school communities during disruptive times. This study examines school librarians' perceptions of the opportunities and challenges encountered while endeavoring to engage in DEI practices during crises.
The word diaspora is currently understood as the large scale voluntary movement of people, along with capital and goods due to the mechanisms of globalization. Adopting a diaspora, gender and leisure perspective, this dissertation looked at the information and document experiences of a particular fan community of women belonging to the Indian diaspora and the online spaces created and occupied by them (fan fiction blogs which can be viewed as book clubs). The study also looked at memory making and documenting of the same as a part of document experience, resulting in what can be termed as "serendipitous memory archives." The blogs hosting fan fiction and the mediated practices they support were viewed as documents for the study. The online spaces were conceptualized as small worlds and the theoretical framework used for the study consisted of a preliminary model of a small world (based on literature review and my understanding of the world under study), information experience as a concept as well as document experience models. The results show that social ties play a big role in the information and document experience, while memory making and documenting of the same are also seen to happen as part of the document experience. The results also show that adopting a document perspective enables us to see the myriad ways in which information is experienced, freeing us from considering as information only that which helps us in meeting a purpose or which fills a gap. Implications and suggestions for future research are discussed.
In their studies on student motivation in th4e 1990s, Gorham & Christophel and Christophel & Gorham found that students perceived their own demotivation to be caused by instructor behaviors. While there are studies that explore the topic of student demotivation and other studies that illustrate the great influence instructors have on student information seeking behaviors, research focusing on the connection between these two concepts is almost nonexistent. Using Gorham & Christophel's concept of instructor-owned student demotivation, this mixed-methods study sought to identify which instructor behaviors doctoral computer science and information science students found demotivating and to what extent their perceptions of these demotivating instructor behaviors influenced their information seeking behaviors in a face-to-face classroom. Demographic and student-perceived demotivating instructor behavior surveys along with semi-structured interviews and follow-up questions were used to collect data. The surveys will be analyzed using descriptive statistics in Excel, and the semi-structured interviews and follow up questions were analyzed using content analysis and Colaizzi's method of phenomenological enquiry in NVivo. The findings showed that instructor demotivating behaviors not only influence student information seeking behaviors in the classroom, but they also can lead to lasting effects on the student. In addition, the participants have expectations of instructor behaviors, which come from their own experiences. These expectations also influence the level of demotivation they feel in a face-to-face classroom.
This study explored issues related to the adoption and implementation of electronic health record (EHR) systems including building the awareness, knowledge, and experience of physicians toward cyber hygiene. This study used a qualitative research method to assess (a) the barriers to EHR systems adoption and implementation in Kuwait and (b) the level of awareness, knowledge and experiences related to cyber hygiene practices in Kuwait. The findings of the study supported the conceptual framework used to guide the research of the factors impacting the adoption and implementation of EHR systems in Kuwait as well as explore the level of awareness, knowledge, and experience of physicians about both EHR systems and cyber hygiene. The results from the systematic literature review analysis identified seven major barriers. These are financial barriers, time, difficulty of using technology, lack of support, negative attitude, legal and ethical (policies), and cultural barriers. The findings from the semistructured interviews supported the literature findings and provided more in-depth insights into the structural and social issues affecting the adoption and implementation of EHR systems. Given that Kuwait is a member of the Gulf Cooperation Countries (GCC), the results from the literature analysis showed that the problems in Kuwait are similar to those in the GCC. However, the issues confronting the adoption and implementation of EHR seems to be more prevalent in Kuwait compared to other GCC members. The results from the semistructured interviews concerning behavior toward cyber hygiene supported the constructs identified in the conceptual model. The majority of the physicians interviewed lacked the awareness and knowledge needed to practice cyber hygiene. Lack of standards, regulations, and policies impacted the norms and practices of physicians. Most physicians were not aware of regulation or standards pertaining to the use of EHRs. The study contributed significantly to bridging the existing knowledge and literature …
The arrival of the Big Data era has become a major topic of discussion in many sectors because of the premises of big data utilizations and its impact on decision-making. It is an interdisciplinary issue that has captured the attention of scholars and created new research opportunities in information science, business, heath care, and many others fields. The problem is the Big Data is not well defined, so that there exists confusion in IT what jobs and skill sets are required in big data area. The problem stems from the newness of the Big Data profession. Because many aspects of the area are unknown, organizations do not yet possess the IT, human, and business resources necessary to cope with and benefit from big data. These organizations include health care, enterprise, logistics, universities, weather forecasting, oil companies, e-business, recruiting agencies etc., and are challenged to deal with high volume, high variety, and high velocity big data to facilitate better decision- making. This research proposes a new way to look at Big Data and Big Data analysis. It helps and meets the theoretical and methodological foundations of Big Data and addresses an increasing demand for more powerful Big Data analysis from the academic researches prospective. Essay 1 provides a strategic overview of the untapped potential of social media Big Data in the business world and describes its challenges and opportunities for aspiring business organizations. It also aims to offer fresh recommendations on how companies can exploit social media data analysis to make better business decisions—decisions that embrace the relevant social qualities of its customers and their related ecosystem. The goal of this research is to provide insights for businesses to make better, more informed decisions based on effective social media data analysis. Essay 2 provides a better understanding of the influence of …
When people access online health information, unfortunately, they have access to both clinically accurate and inaccurate information that they may then utilize to make informed personal health decisions. This research fills a gap in the literature of online health communities as they relate to chronic obstructive pulmonary disease (COPD). The conduct of this research required a multi-phased and multi-method approach, best presented in three distinct essays. In Essays 1 and 2, data gathering within two online health communities specific to COPD allowed this study to address three research questions: (1) what are the information needs of COPD patients that result in their participation in online health communities; (2) what are the information sources offered to the participants in these online communities; and (3) is the information obtained via those communities credible. Essay 1 harvested data from a moderated website hosted by a non-profit organization for patients with COPD and Essay 2 harvested data from a non-moderated Facebook group also serving this unique group. Data Miner, a Chrome extension designed to extract data, was used to collect data, key words and themes which brought an understanding of the health information needs of participants and identified what health information sources were preferred. Using NIH guidelines, the credibility of sources exchanged were evaluated for both groups. The research presented in Essay 1 showed that COPD patients have health information needs and that a clinically monitored social health online community, that is available 24/7 to answer questions that arise at the time of need, provides much needed support. The research in Essay 2 illustrates the need for healthcare workers to be aware of unmoderated sites and promote these sites for the purpose of socialization only, and not for medical information. Building on the knowledge gained through the data analysis in Essays 1 and 2 …
The traditional definition of tourism has been transformed by significant advancements in communication and information technology. The concept of Metaverse, derived from the words "meta" (meaning beyond) and "verse" (meaning universe), has redefined how people experience travel. This innovative concept combines virtual reality, augmented reality, and artificial intelligence to create virtually augmented spaces. However, the tourism industry should clarify and narrow down the definition of Metaverse and its intriguing concept for its successful adoption in the future. Thus, it is crucial to define Metaverse tourism and understand how users will accept it in the near future. This study aims to comprehend the technology behind Metaverse tourism, review current research on the topic, and identify the critical factors related to experiential Metaverse tourism. The paper also examines how computer self-efficacy, novelty seeking, subjective norm, job relevance, perceived usefulness, perceived ease of use, and perceived enjoyment can influence expected user satisfaction and behavioral intention, given the context of situational motivation. The findings have significant implications for theory and management, addressing various questions related to users' perceptions, expectations, design considerations, stakeholder preparations, and performance assessment of metaverse technology in tourism applications.
Enterprise resource planning (ERP) systems are regarded as among the most innovative information technology products developed over the past two decades. Thus, they have become the backbone of management information systems in the organizations that have implemented them. The difficulties associated with their high failure rate, however, have been the subject of extensive studies. To expand on this knowledge, this study has two research objectives: to examine the relationship between corporate governance structures and implementation results and to investigate whether implementation outcomes vary by country. This study focuses on the project steering committee’s involvement, internal auditors’ participation, and the change management plan implementation. The results demonstrate that steering committee involvement is a primary factor that influenced the success of ERP implementation; and that institutional factors in country of deployment are important determinants of ERP project outcome.
Social media information behavior is increasingly critical, impacting not only individuals and groups but the beliefs, values, and direction of society and culture. The purpose of this study was to investigate how persistent observation by members of the online network influences social media users' information behavior, resulting in the phenomenon of social noise. Data analytics, including LDA, LSA, and clustering methodologies, were performed but could not provide information about the users' motivations. Using an ethnographic approach, participant observations and interviews were conducted with Facebook users as they interacted with informational posts, and the data collected was coded using a recursive method. Four key constructs of social noise were identified, and sub-codes were assigned within each construct as patterns emerged, providing insight into the different facets of social noise. Additionally, in most instances more than one of the four constructs were present, layering their influence on the information behavior. Based on these findings, social media users are not always interacting with information based on true personal beliefs or desires; instead, concerns surrounding their personal image, relationships with others, core beliefs, and online conflict are influencing their observable information behavior. The results of this exploratory study provide a basis to further develop the social noise model. Qualitative data provides insight into the thinking and motivations behind social media users' observable information behavior, specifically in the areas of cultural agency, relationship management, image curation, and conflict engagement.
Makerspaces are a popular, new concept being implemented in public, academic, and school libraries, and as stand-alone spaces. The literature reflects the newness of the topic with a limited number of articles and studies and even less about the users of makerspaces themselves. This study explored information sharing behaviors in the Dallas Makerspace as an informal learning environment and described their preferred method of information transfer from one member to another. It employed a mixed methods methodology using surveys, interviews and observations. The study identified how the rules and policies in place at the makerspace influence the information seeking process and how the Dallas Makerspace exchanges information effectively. Dallas Makerspace is one of the largest non-profit work groups in its size, and this research study answers how information is exchanged in an informal environment.
Subject of information entity is one of the fundamental concepts in the field of information science. Subject of any document represents its intellectual potential -- 'aboutness' of the document. Traditionally, subject (along with title and author) is the one of three major ways to access information, so subject metadata plays a central role in this process and the role is constantly growing. Previous research concluded that the larger bibliographic database is, the richer subject vocabularies and classification schemes are needed to support information discovery. Further, a high proportion of information objects are unretrievable without subject headings in metadata records. This exploratory study provides the analysis of the subject metadata in MARC 21 bibliographic records created in 2020; and develops understanding of the level and patterns of 'aboutness' representation in the MARC 21 bibliographic records. Study also examines how these records apply the recent RDA and MARC21 guidelines and features intended to support functionality in a Linked Data environment. Methods of Social Network Analysis were applied along with content analysis, to answer research questions of this study. Suggestions for future research, implications for education, and practical recommendations for library metadata creation and management are discussed.
Cultural heritage institutions, including galleries, libraries, museums, and archives are increasingly digitizing physical items and collecting born-digital items and making these resources available on the Web. Metadata plays a vital role in the discovery and management of these collections. Existing frameworks to identify and address deficiencies in metadata rely heavily on count and data-value based metrics that are calculated over aggregations of descriptive metadata. There has been little research into the use of traditional network analysis to investigate the connections between metadata records based on shared data values in metadata fields such as subject or creator. This study introduces metadata record graphs as a mechanism to generate network-based statistics to support analysis of metadata. These graphs are constructed with the metadata records as the nodes and shared metadata field values as the edges in the network. By analyzing metadata record graphs with algorithms and tools common to the field of network analysis, metadata managers can develop a new understanding of their metadata that is often impossible to generate from count and data-value based statistics alone. This study tested application of metadata record graphs to analysis of metadata collections of increasing size, complexity, and interconnectedness in a series of three related stages. The findings of this research indicate effectiveness of this new method, identify network algorithms that are useful for analyzing descriptive metadata and suggest methods and practices for future implementations of this technique.
This dissertation examines the impact of trauma on information-seeking behaviors and decision-making processes. Essay 1 includes a qualitative analysis of the transcripts obtained from interviews with four military service members diagnosed with PTSD. The results showed that 75% of this small sample population exhibited addictive behavior that was presented in their information behaviors. All four members indicated that the excessive extent to which they seek information is related to the perceived importance of the information and their level of trust in the sources. Low trust in information sources increases the number of sources searched for validation in this population. Essay 2 involved the collection and analysis of survey data. The results of the stepwise backward regression show that two trauma variables (adult sexual assault, sudden fear) have a significant combined negative effect on decision-making in this population. The analysis and results of a different survey are presented in Essay 3. The stepwise logistic regression analysis results conducted on the summated scales developed showed a strong positive link between trust in scientific experts for scientific information and the dichotomous dependent variable trust in social media for news. The research conducted in this dissertation extends the understanding of how trauma affects people's information-seeking habits and decision-making processes. The findings have implications for how to communicate, policies relevant to information dissemination, and mental health measures. Future research is suggested to understand these behaviors and potential treatments better.
Why is the term information in English an uncountable noun, whereas in information theory it is a well-defined quantity? Since the amount of information can be quantified, what is the meaning of a fraction of that amount? This dissertation introduces a quasi-entropy matrix which developed from Claude Shannon's information measure as an analytical tool for behavioral studies. Such matrix emphasizes the role of relative characteristics of individual level data across different collections. The real challenge in the big data era is never the size of the dataset, but how data lead scientists to individuals rather than arbitrarily divided statistical groups. This proposed matrix, when combining with other statistical measures, provides a new and easy-to-do method for identifying pattern in a well-defined system because it is built on the idea that uneven probability distributions lead to decrease in system entropy. Although the matrix is not superior to classical correlation techniques, it allows an interpretation not available with traditional standard statistics. Finally, this matrix connects heterogeneous datasets because it is a frequency-based method and it works on the modes of data rather than the means of values. It also visualizes clustering in data although this type of clustering is not measured by the squared Euclidean distance of the numerical attributes.
This study's first goal is to investigate whether a 23-item multidimensional scale is a valid and reliable measure of benefits private club members perceive to be important. Seven theoretically plausible model structures are empirically tested: a unidimensional model, a two oblique first-order factors model, a four oblique first-order factors model, a two oblique second-order factors model, a bifactor model with two domain-specific factors, a bifactor model with four domain-specific factors, and two oblique bifactor models. The second goal is to examine the benefits members receive most often from their membership clubs. The multidimensional scale is based on four dimensions: member-to-employee relationship, member-to-member relationship, confidence, and reduced anxiety. Member-to-employee relationship and member-to-member relationship subscales are aligned with social benefits while confidence and reduced anxiety subscales are aligned with psychological benefits. The study participants (N = 114) were recruited through a commercial crowdsourcing platform, Prolific. The results of a Bayesian confirmatory factor analysis (BCFA) provided support for the two oblique bifactor models. Additionally, the social benefits and psychological benefits bifactor scales displayed acceptable reliability. A comparison of the means for each type of benefit revealed that no statistically significant differences existed between the general social benefits factor and the general psychological benefits factor as well as between member-to-employee relationship and member-to-member relationship benefits. However, the mean of reduced anxiety benefits was statistically significantly higher than the mean of confidence benefits. The findings of this study contribute to the theoretical understanding and measurement of private club membership value by examining various dimensions of benefits members perceive to be important. The findings also provide private club managers with a valid and reliable scale for assessing benefits their members perceive to be important.
Most training performance measurement tools rely heavily on quantitative metrics that do not consider factors impacting knowledge transfer and behavioral change such as social relationships and company culture. This study observed a training performance measurement tool for a major U.S.-based airline. Analysis of the measurement tool consists of: a pilot study providing a baseline for the current gaps in training performance measurement, a survey of flight attendants to understand how company cultural and social factors impact learning and knowledge transfer, and focus groups to provide an in-depth analysis of what the underlying company cultural and social factors are. Both quantitative and qualitative analysis were utilized to identify the impact of cultural factors and social relationships on performance measurement to provide in-depth understanding of the role of tacit knowledge transfer in the training environment. Results show that cultural factors such as empathy, coaching, and on-the-job training, negatively impact the accuracy of flight attendants' ability to measure learning and knowledge transfer. A second finding shows social factors, personality, and agreement, show a strong trend towards negatively affecting the ability to accurately measure learning and knowledge transfer. The proposed knowledge transfer measurement model was further modified to reflect the findings and the results of this study. Further recommendations include altering the measurement tool, prioritization of skills, and communicating purpose.
In this study we explore the factors impacting physician patient interaction time and how these factors can be used to improve health knowledge transfer from physicians to patients. We also investigate how technology tools can be used to improve this interaction time. Physician patient interaction time is important because this is the time when both sides engage with each other, exchange information so that physicians understand their patients' health issues. Given the increasing health care costs and demand for physician time, over the years, this interaction time has been distracted due to many factors. It is important to explore these factors and provide some possible solutions, such as advanced knowledge management systems, such as knowledge portals. To identify the factors impacting this interaction time and the role of technology, we first identified the variables and then developed hypotheses. We used data from the surveys administered by the AHRQ and NCHS to test these hypotheses. We conducted correlation analyses to determine the factors that can be used to improve health knowledge transfer from physicians to patients and how technology tools can be used to improve physician patient interaction time. Our analyses indicate that the factors we identified to improve health knowledge transfer and physician patient interaction time were statistically significant. In this study, we introduced the concept of knowledge management to physician patient interaction time, identified the factors that can be used to improve health knowledge transfer, and paved the way to use technology tools as knowledge tools in medical settings and practices.
The purpose of this study was to assess visual analytics technology acceptance and user experience among in vitro fertilization (IVF) consumers. The research aimed to show how visual analytics tools and technologies can be applied in the consumer space to enhance how users interpret healthcare success rate data. This exploratory user evaluation study utilized a quantitative dominant, mixed-methods approach with a convergent parallel design based on the data-validation variant. Survey data were collected from consumers who were currently seeking information about IVF treatment in the United States. The study findings indicated that the extended unified theory of acceptance and use of technology (UTAUT2) constructs of performance expectancy and hedonic motivation influenced consumer behavioral intention to use visual analytics technology, while effort expectancy did not. Further, the findings from the user experience and qualitative analyses indicated that there is strong support for consumer adoption of visual analytics technology for personal healthcare decision-making. These findings may help in the design and development of modern, interactive visualization tools that could be used to visualize public or private healthcare data for analysis by consumers. Stakeholders, including the US Centers for Disease Control and Prevention, the World Health Organization, and medical practitioners, may use the findings to develop improved interactive tools for consumer analysis of large, multi-dimensional data sets.
According to the U.S. Department of Health and Human Services (HHS), patients and providers do not understand the Health Information Privacy and Accountability Act (HIPAA). Non-compliance with HIPAA is primarily due to confusion, along with insufficient understanding. HSS has taken measures to simplify the language they use to communicate HIPAA, however, they have not taken steps that consider if one's culture, religious and social perspectives, institutional training, credentials, and comprehension of legal terminology affects medical providers and non-clinical administrative personnel's abilities to understand HIPAA. This research uses bibliometrics to examine the literature from January 2010 – September 2020 that addresses HIPAA's use of legal terminology, literacy level, and institutional training, along with religious and social perspectives, and credentials of medical providers and non-clinical administrative personnel. A total of 107 articles were examined, 42 were assigned article influence scores with values that were less than 1.00, which is a below-average influence score for the article. There were 29 articles with values equal to or above 1.00, which translates to an equal or above-average influence score. The remaining 36 articles did not have article influence scores and were assigned values as not available. Results of the review of the literature indicate that legal terminology, literacy level, training, credentialing and religious and social perspective had no or little effect in understanding HIPAA.
Web archiving is the practice of preserving websites as a historical record. It is a technologically-challenging endeavor that has as its goal the creation of a high-quality archived website that looks and behaves exactly like the original website. Despite the importance of the notion of quality, comprehensive definitions of Information Quality (IQ) in a web archive have yet to be developed. Currently, the field has no single, comprehensive theory that describes what is a high-quality or low-quality archived website. Furthermore, most of the research that has been conducted on web archives has been system-centered and not user-centered, leading to a dearth of information on how humans perceive web archives. This dissertation seeks to remedy this problem by presenting a user-centered grounded theory of IQ for web archives. It answers two research questions: 1) What is the definition of information quality (IQ) for web archives? and 2) How can IQ in a web archive be measured? The theory presented is grounded on data obtained from users of the Internet Archive's Archive-It system, the largest web-archiving subscription service in the United States. Also presented are mathematical definitions for each dimension of IQ, which can then be applied to measure the quality of a web archive.
This study analyzes the sociocultural factors that affect Saudi students in the U.S. as they seek information and explores to what extent these factors impact their everyday life information seeking (ELIS) behavior and their information technology behavior (ITB). The factors in this study illustrate the unique sociocultural values that distinguish Saudi students from other international student groups: gender segregation, emphasis on religion, social support, and utilization of the consultation concept. After collecting data from an online survey, the data from linear regression analyses revealed that only one culture factor (the language barrier) showed a significant impact on Saudi student ELIS in the U.S., while the other factors were not statistically significant. Also, the findings indicated that perceived usefulness (PU) and perceived ease of use (PEU) were statistically significant to the ELIS of Saudi students. Furthermore, the study showed that after academic information, food and drink, entertainment, and health were the top student needs, the top ranking sources for everyday life seeking information were social media and the Internet. The findings of the study help to shed light on a sizable user group. As the fourth largest group of international students in the U.S., Saudi students have been underrepresented in research. Also, the study's findings and recommendations provide a more profound understanding of Saudi students for both the hosting American university officials and stakeholders who provide scholarships.
In Kuwait, an increase in the use of social media by the Kuwait National Assembly (KNA) has allowed it members to reach out to the public and so advance their political agenda. This study examines social media influences on the decision making process; addresses the lack of academic research in relation to KNA members; and seeks to understand the extent to which public political engagement using social media might affect the outcome of their decision making. The proposed social media influence model (SMIM) was used to explore the relationships and relative importance of variables influencing legislator decision making in a social media environment. The second decade of the twenty-first century saw a number of major issues emerging in Kuwait. A core mixed method design known as explanatory sequential was applied to multiple sets of data generated during KNA members' 14th (2013-2016) and 15th (2016-2018) terms. These data included Twitter messages (tweets), the KNA Information Center Parliamentary Information System legislation documents, and the news media articles. The sample was drawn from KNA membership, some of which used Twitter to comment on major events with specific hashtags and the Kuwaiti news media articles related to the same. Study results confirm and support the proposed SMIM. They also suggest that a single person or a group of individuals (in this case, legislators) can be influenced and motivated to use social media for self-promotion and/or advancing their political agenda. Consequently, they can be used to devise ways for improving the use of social media by KNA members in support of legislative work, which in turn will provide citizens with access to real-time information and enhanced political interaction.
The goal of this study was to investigate visual sources of nutrition information relied upon by young adults, specifically college-aged students between 18-30, as this is an under-represented population within current academic literature. A sample of more than 700 18- to 30-year-old college students were surveyed regarding their use of nutrition-driven information, with specific questions regarding the participants' awareness and use of the Food and Drug Administration's standardized nutrition facts labels, as well as the use of smartphone applications for tracking one's food and beverage consumption on a regular basis. Using structural equation modeling, a statistically significant theoretical model was developed with regards to individuals finding greater long-term satisfaction in their dieting efforts if they tracked their consumption on a regular basis, with even greater significance being found through the aid of smartphone applications for recording consumption. An analysis of the content of three online diet and exercise-driven brands was also conducted to determine the currently optimal social media platform for nutrition information exchange, and to identify the type of diet-driven information that generates the greatest amount of engagement within an online network. Of the social media platforms analyzed, Instagram proved to be the most optimal for nutrition information-exchange, and that humorous and relevant content shared by dieting brands generated the greatest engagement within their online networks. These studies confirmed that formal visual sources of information, specifically the FDA's nutrition fact labels, are not regularly acknowledged nor implemented within this population, but rather informal visual sources of information, such as content shared across social media channels and the use of smartphone applications, are heavily relied upon when dieting within the young adult population. These research implications are relevant and timely to academics, health professionals, and governmental entities, as they support the need for greater educational endeavors towards increasing the public's …
This study identified the information seeking behavior and networking practices used by members of a specific marginalized population, that of adult female probationers (AFPs) in a rural county in Texas. The study focused on how they seek out information when faced with a self-identified need in their lives. Beyond the basic "food, shelter and clothing" that comes to mind, the respondents find themselves faced with questions not only about the judicial system but also ones involving health care, employment, transportation, child-care, and other. The study utilized a qualitative research approach to gather data about the AFPs' information behavior and networking activities. The AFPs were asked about their information behavior during their time in the judicial system and after that involvement ended, and about their use of three points of information access: personal social network, physical resources, and electronic resources. Data was also gathered from community members (CMs) who have a role either within the judicial system or external to the judicial system. In its findings, the study determined there is no single point of access to a comprehensive listing of resources for the AFPs to utilize, and that AFPs reported seeking information via two ways as based on the type of question being raised. The study found that a hierarchy of needs should include access to the internet, if not an electronic device itself. The study also found there is a strong relationship between an AFP's personal social network and their support system, and that, beyond access to information, there is an element of information receptivity involved with their success. Based upon the insights provided by the AFPs and CMs, the study provides recommendations to improve information dissemination, especially about available resources, and to facilitate AFPs' access to same. With the study's conclusion, a report will be submitted to members …
When it comes to hospice care, patients and their families residing in rural counties need competent rural community-based hospice social workers on their team. The study of information seeking behaviors of rural community-based hospice social workers during the global COVID-19 pandemic is significant as there is a need to fill gaps regarding how this specific medical discipline performs their job responsibilities when duties become more complicated due to evolving infection control protocols, decreased direct access to patients, and poor internet services. Community-based rural hospice social workers rely on up-to-date information and resources when providing support services to patients and their families. This has become particularly important during the global pandemic COVID-19. Utilizing Chatman's small world theory, this research lends itself to community-based hospice social workers identifying solutions to the challenges of finding timely and accurate COVID-19 information and resources for hospice patients and their families. Purposive sampling, semi-structured interviews, and qualitative social network analysis (SNA) with ATLAS.ti comprise the methodology for this research. The purpose of this study is to investigate the information seeking behaviors of community-based hospice rural social workers in order to understand how they select their COVID-19 information resources.
This study explored a part of our population that can be misunderstood, marginalized, and underserved: veterans who are seeking to transition from the military to employment in North Texas. At the time of this research (before the COVID-19 pandemic), overall unemployment in North Texas was only 3.9%.Veteran unemployment was calculated at approximately the same before considering the underemployed veterans or those who have given up finding employment (and before the COVID-19 global pandemic), and that calculation likely exceeds 16-18% according to the Texas Workforce Commission. By understanding the information-seeking behaviors of the veteran population targeting North Texas for future employment, their ability to find useful information for successful relocation, attainment of employment, and the resources that enables their sense-making processes, the services provided to veterans seeking employment can be improved. Further understanding can be gained by using a qualitative approach that references Dervin's sense making model (SMM) as the framework. The revelations and conclusions can be used to improve existing programs, inspire new programs, and provide answers that are useful to the Veteran's Administration (VA), other veteran-focused organizations, policymakers, non-profits who serve veterans, veterans themselves, and future employers who enable successful transitions by providing satisfying and inclusive employment opportunities for veterans.
Using a case study approach this study investigated how college students in Vlore, Albania seek and use information resources for academic and personal needs and whether they follow a pattern similar to Brenda Dervin's sense-making, or Marcia Bates' berry-picking information seeking models. Influencing factors studied were economic factors, information communication technologies and information culture/policy. A literature review showed that no previous published research has studied information seeking behavior of college age students and faculty in Albania. Thirty-four college students and two full time faculty completed a survey and a smaller group were interviewed. The results of the study indicate that Google is the main source for seeking information for both academic and personal purposes. College students are not introduced or taught on how to evaluate information sources. The information communication technology needs improvement to support information needs. The library as a major information resource was not apparent to most students. College students utilize berry-picking as the information seeking model and faculty use sense-making, as a model of information seeking. This study adds to the knowledge of the information seeking behavior of college students in a developing country, the need for information literacy courses at the university level, and the identification of additional areas of research regarding information communication technologies, information policy, and literacy for developing countries.
This research contributes to the cloud computing (CC) literature and information science research by addressing the reality of information sharing and storage behavior (ISSB) of the users' personal information via CC. Gathering information about usage also allows this research to address the paradox between the research and practice. Additionally, this research explores the concept of trust and its role in the behavioral change relative to CC. The findings help reconcile the paradox between the two realms. Essay1 develops and tests cloud computing usage model (CCUM) that assesses ISSB. This model considers the main adoption determinants and the main drawbacks of CC. The study measures the main concerns of users found in the literature, perceived security and perceived privacy. The findings prove surprising on these concerns. Using multiple regression to analyze 129 valid survey responses, the results find that CC users are less concerned about the major issues of security and privacy and will use the technology based on peer usage. Essay 2 examines why users ignore the technology issues and elect to replace the traditional mechanisms for handling their personal information. The results of an interview-based study conducted on 11 normal users and 11 IT professionals clarify their perceptions about CC and examine its readiness to handle their information from an end-user perspective. Essay 3 explores the CC literature to identify the major factors associated with the users' trust beliefs. The research conducted in this essay groups these factors into three categories. The posited and tested model examines the effect of perceived trust on ISSB. A structural equation modeling approach is used to analyze 1228 valid responses and tests the developed cloud computing trust model. The results provide multiple implications for CC researchers, managers, and service providers.
Educators often inquire about the readability of books and other documents used in the classroom, with the idea that readability supports students' reading comprehension and growth. Documents used in classrooms tend to be language-based, so readability metrics have long focused on the complexity of language. However, such metrics are unsuitable for multimodal documents because these types of documents also use non-language modes of communication. This is problematic because multimodal reading is increasingly recognized as a 21st-century skill. One information theoretic solution is transinformation analysis, an approach that measures readability as the difference between the objective entropy of a document and the subjective entropy of its reader. Higher transinformation indicates more information complexity. This study explored the viability of transinformation analysis as a measure of multimodal readability. Think aloud screen recordings from 15 eighth grade "advanced readers" of Episode 2 of the born-digital novel, Inanimate Alice served as the dataset. Findings showed that 14 of the readers attended to less than half the information in the story. Mean readability was .57, indicating a complex reading experience. Readers attended to and recalled information primarily from the linguistic mode, which may have been a strategy for reducing cognitive load, or it may have reflected beliefs that reading is a language-based activity. The strong traditional readers in this study appeared to be weak at multimodal reading. In addition to its theoretical and methodological implications, the study's findings have implications for the practical need to create more opportunities for multimodal reading experiences in contemporary classrooms and libraries.
This study explores the everyday life information seeking (ELIS) behavior of Catholic clergy in Northern Nigeria and describes their information use environment (IUE). It employed a mixed-method case study using survey and episodic interview techniques of data collection. The ELIS of Savolainen, the IUE of Taylor and the small world of Chatman were theoretical frameworks that guided this study. Findings showed that the IUE of these Catholic clergy is shaped by four elements: (1) geographical location and culture, (2) the celibate clergy, (3) their information needs, and (4) the information sources used to resolve these needs. Three types of information needs were identified: essential needs, circumstantial needs and intermittent needs. There was a high interrelatedness between the effects of culture and celibacy on the information seeking of these clergy. They are not likely to cross boundaries of their world to seek particularly essential information about their ministry or private lives. The findings of this study align with Chatman’s proposition that members who live in the round will not cross the boundaries of their world to seek information. The study found problems with access and availability of information, which included lack of familiarity with electronic/online library databases among the clergy, and the lack of archives and documentation of records and historical materials. It recommended the development of an archiving and documentation plan that digitizes paper documents for electronic management, including policies on data curation for the Catholic religious institutions in Nigeria.
Open access institutional repositories (OA IRs) are electronic systems that capture, preserve, and provide access to the scholarly digital work of an institution. As a new channel of scholarly communications IRs offer faculty a new way to disseminate their work to a wider audience, which in turn can increase the visibility to their work and impact factors, and at the same time increase institutions prestige and value. However, despite the increased popularity of IRs in numbers, research shows that IRs remain thinly populated in large part due to faculty reluctance to participate. There have been studies on the topic of open access repositories with the focus on external factors (social or technological context) that affect faculty attitudes towards participation in IRs, and there is a lack of understanding of the internal factors and the psychology of the reluctance. The goal of this mix method study was to identify the overall factors that affect faculty attitudes towards participation in IRs and examine the extent to which these factors influenced faculty willingness to participate in IRs. First, from literature review and the Model of Factors Affecting Faculty Self-Archiving this study identified eleven factors that influenced faculty members' intention to participate in OA repositories. Theory of Planned Behavior (TPB) postulated that faculty intention to participate in IR was determined by three categories of factors: five attitudinal, four external (social) and two individual factors. Within the framework of the TPB this study (1) confirmed the measurement scale for each factor using principal component analysis, (2) it examined the influence that each factor had on the faculty likelihood to participate in IR using logistic regression, and (3) it weighted the relative importance of each factor on faculty intent to participate, utilizing relative weight analysis. Quantitative analysis revealed that four out of 11 factors proved to …
Life coaching is a rapidly expanding industry that focuses on client development, enhancement of life experience, and goal attainment often when clients are experiencing personal, professional, and social change. Online communities of practice (CoPs) provide opportunity for individuals to connect, share experiences, and learn from each other under the auspices of a unifying theme or subject. Since the 1990s, CoPs have spread from education to other areas of business and industry and continue to shape participant professional development. However, the everyday life information seeking and practices of life coaches remains unexplored within information science literature from the perspectives of life coach engagement in seeking information, life coach engagement in CoPs, and life coach interactions with other coaches. The purpose of this research study was to explore life coach perspectives of coaching, the diverse information needs of life coaches, the types and strength of relationships between life coaches and CoPs, the role of coaching certification and/or licensing as contributing to the professionalization of life coaching, and the means of communication exchange by life coaches through information communication technologies. This mixed method study focused on life coaches who self-identify as belonging to a CoP and those that do not. Theoretical frameworks for this study included Savolainen's everyday life information seeking (ELIS) and Wegner and Lave's characterization of CoPs. Methods utilized for this study included an online survey, semi-structured interviews, and social network analysis.
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