UNT Theses and Dissertations - 29 Matching Results

Search Results

Results: 1 - 29
An Analysis of Student Perceptions of Teaching Effectiveness for Instructors Who Teach the Same Course in the Same Semester in Both Online and Face-to-Face Formats
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.
The Fabric of Entropy: A Discussion on the Meaning of Fractional Information
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.
Perceptions of Associates to Embrace Technology Used in Teams in the Workplace
This study explores employees' desire to embrace both a legacy operating system and a new workflow engine utilized in the workplace. The goal is to better understand the partnership and relationship the users build with the technologies and how that impacts usage behavior. The research is centered on a mixed-method case study using survey and episodic interview techniques of data collection. Models and methodologies providing the foundation for this study include Venkatesh and Davis's technology acceptance model 2 (TAM 2) and Venkatesh, Morris, Davis, and Davis' unified theory of acceptance and use of technology (UTAUT) model, coupled loosely with concepts from Brooks and Atkinson's StructurANTion Theory. A new, adapted model is created to capture and understand the anthropomorphic characteristics users apply to the technology. This study yields important information for the future theoretical frameworks as elements such as trust and control, and descriptive variables like age and tenure have not factored into existing theoretical frameworks and models. Users can often anthropomorphize technology, viewing it as part of the social team to help improve their work. Through this lens, users expect information systems to be controllable and trustworthy to respond to their needs both alone and within the function of the team.
A Smart Tale: An Examination of the Smart City Phenomena through the Lens of a Case Study
This dissertation addresses research questions related to defining a smart city and the associated activities. The general research question is explored in the dissertation via the conduct of three related studies. The finding from these three investigations are presented in the results section as 3 essays that collectively examine the smart city phenomena as it has emerged within the City. Essay 1 assesses building municipal open data capability. The study proposed an Opendata Roadmap Framework to enhance the organization's dynamic capability. The results provide a valuable practical framework to help cities develop open data capability. The results also provide a comparative study or benchmark for similar initiatives with other regional cities and within the nation. Essay 2 measures the residents' understanding and beliefs about smart cities. This portion of the research used a qualitative method that included interviewing residents and city officials to understand their definition of a smart city and what they believe makes a city smart. The interviews focused on understanding resident engagement because it is an important characteristic of a smart city. The gap between the city officials and residents understanding was examined. In addition, the interviews help identify essential factors associated with smart cities like trust in government, perceived security, perceived privacy, trust in technology, and perceived monetary value. Essay 3 examines the acceptance of smart city technologies and factors that affect the adoption of such technologies. This essay uses the insights from the other two essays to propose a smart city Unified Theory of Acceptance and Use of Technology (UTAUT) extension labelled Smart City UTAUT (SC-UTAUT). The new proposed model was tested using a survey method. The 1,786 valid responses were used to test the proposed structural equation model using Smart PLS. Results show a significant relationship between trust in technology, trust in government, perceived …
The Impact of Sociocultural and Information Communication Technology Adoption Factors on the Everyday Life Information Seeking Behavior of Saudi Students in the United States
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.
Information Sharing and Storage Behavior via Cloud Computing: Security and Privacy in Research and Practice and Users' Trust
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.
Influence of Social Media on Decision Making of the Kuwait National Assembly Members: Case Study
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 Influence of Visual Sources of Nutrition-Oriented Information on Young Adults' Dieting Efforts
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 …
Information Seeking in a Balkan Country: A Case Study of College Students Seeking and Use of Information
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.
A Model of Treatment Compliance Behavior of Patients with Chronic Disease in the Age of Predictive Medicine: The Role of Normative Beliefs
The purposes of this study are: a) to understand the treatments compliance behavior of the patient with chronic disease at the behavioral level, particularly, the relationship between treatments compliance behavior and normative beliefs; b) develop a behavioral model of patient's treatments compliance behavior that could be used for predicting, combating, treating, tracking and controlling the treatments compliance behavior of the patients with chronic disease. Seventy-two patients from senior daycare centers in the Dallas area, who suffer or had suffered from at least, one chronic disease, participated in the study. Data gathering was conducted using paper-based questionnaire. The most significant finding of this study is the relationship between normative beliefs and the treatments compliance behavior of the patient with chronic disease. Normative beliefs were found to have significant impact on the treatments compliance intent and behavior of the patients with chronic disease. Another important finding showed that side-effects of prescribed treatments have little or no influence on the treatments compliance behavior of the patient with chronic disease. A relationship between the effectiveness of medicine, particularly, predictive medicine, and treatments compliance behavior was established. The design of the study was intended to provide coverages for a set of constructs that may be the interacting units in the environment of any chronic disease treatments decision. It depicts relational, information communications links between the constructs. The Imhonde model of treatments compliance behavior was designed to include cultural norms and other beliefs that are significant for real-time human ailments decisions behaviors. It is recommended that further studies may include the use of a larger population of participants from diverse cultures and localities in multiple states and countries, with the object of finding the differences that culture and local environments may have on the normative leaning for treatments compliance behavioral decisions in chronic disease cases.
Modeling Information Seeking Under Perceived Risk
Information seeking and information avoidance are the mechanisms humans natural used for coping with uncertainties and adapting to environmental stressors. Uncertainties are rooted in knowledge gaps. In social sciences, the relationship between knowledge gaps and perceived risk have received little attention. A review of the information science literature suggests that few studies have been devoted to the investigation of the role of this relationship in motivating information-seeking behavior. As an effort to address the lack of theory building in the field of information science, this study attempts to construct a model of information seeking under risk (MISR) by examining the relationships among perceived risk, knowledge gap, fear arousal, risk propensity, personal relevance, and deprivation and interest curiosity as antecedents to motivation to seek information. An experimental approach and a scenario-based survey method are employed to design the study. Partial least square structural equation modeling (PLS-SEM) analysis was conducted to test the relationships in the proposed model. Perceived risk was found to be a highly significant predictor of information seeking in moderately high-risk situations. Similarly, personal relevant has a significant negative effect on perceived risk and its interaction with knowledge gap motivates information seeking.
A Text Analysis of Data Science Career Opportunities and U.S. iSchool Curriculum
Data science employment opportunities of varied complexity and environment are in growing demand across the globe. Data science as a discipline potentially offers a wealth of jobs to prospective employees, while traditional information science-based roles continue to decrease as budgets get cut across the U.S. Since data is related closely to information historically, this research will explore the education of U.S. iSchool professionals and compare it to traditional data science roles being advertised within the job market. Through a combination of latent semantic analysis of over 1600 job postings and iSchool course documentation, it is our aim to explore the intersection of library and information science and data science. Hopefully these research findings will guide future directions for library and information science professionals into data science driven roles, while also examining and highlighting the data science techniques currently driven by the education of iSchool professionals. In addition, it is our aim to understand how data science could benefit from a mutually symbiotic relationship with the field of information science as statistically data scientists spend far too much time working on data preparation and not nearly enough time conducting scientific inquiry. The results of this examination will potentially guide future directions of iSchool students and professionals towards more cooperative data science roles and guide future research into the intersection between iSchools and data science and possibilities for partnership.
Where are the Women in the Ebola Crisis? An Analysis of Gendered Reporting and the Information Behavior Patterns of Journalists Covering a Health Outbreak
Health officials estimate that the 2014 Ebola crisis disproportionately victimized women, who made up 75% of the disease's victims. This interdisciplinary study has two main goals. The first is to evaluate the news media's performance in relation to their representation of women caught up in the Ebola crisis because the media play an important role in influencing public responses to health. This study sought to understand the information behavior patterns of journalists who covered the Ebola crisis by analyzing how job tasks influence a journalist's information behavior. This study employed qualitative methods to study the perceptions of journalists who covered the 2014 Ebola outbreak. Semi-structured interviews were conducted with Liberian and American journalists who covered the outbreak to understand the choices that guided their reporting of the Ebola crisis. A content analysis of The New York Times, The Times, and The Inquirer was also conducted to examine the new media's representation of women in an outbreak which mostly victimized women. The findings suggest that covering a dangerous assignment like Ebola affected the information behavior patterns of journalists. Audience needs, the timing of coverage, fear, and the accessibility of sources, were some of the factors that influenced the news gathering decisions taken by the reporters. The findings also suggest that women were mostly underrepresented by the media as sources, experts and subjects.
Analyzing Tradeoffs between Privacy Concerns and Active Social Media Presence of 18- to 30-Year-Old College Students
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.
A Grounded Theory of Information Quality in Web Archives
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.
A Comparison of Major Factors that Affect Hospital Formulary Decision-Making by Three Groups of Prescribers
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 …
The Evolution of Big Data and Its Business Applications
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 …
Exploration of Information Sharing Structures within Makerspaces: A Mixed Methods Case Study of Dallas Makerspace and Its Users
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.
A Study of Physicians' Serendipitous Knowledge Discovery: An Evaluation of Spark and the IF-SKD Model in a Clinical Setting
This research study is conducted to test Workman, Fiszman, Rindflesch and Nahl's information flow-serendipitous knowledge discovery (IF-SKD) model of information behavior, in a clinical care context. To date, there have been few attempts to model the serendipitous knowledge discovery of physicians. Due to the growth and complexity of the biomedical literature, as well as the increasingly specialized nature of medicine, there is a need for advanced systems that can quickly present information and assist physicians to discover new knowledge. The National Library of Medicine's (NLM) Lister Hill Center for Biocommunication's Semantic MEDLINE project is focused on identifying and visualizing semantic relationships in the biomedical literature to support knowledge discovery. This project led to the development of a new information discovery system, Spark. The aim of Spark is to promote serendipitous knowledge discovery by assisting users in maximizing the use of their conceptual short-term memory to iteratively search for, engage, clarify and evaluate information presented from the biomedical literature. Using Spark, this study analyzes the IF- SKD model by capturing and analyzing physician feedback. The McCay-Peet, Toms and Kelloway's Perception of Serendipity and Serendipitous Digital Environment (SDE) questionnaires are used. Results are evaluated to determine whether Spark contributes to physicians' serendipitous knowledge discovery and the ability of the IF-SKD ability to capture physicians' information behavior in a clinical setting.
Investigating Factors that Affect Faculty Attitudes towards Participation in Open Access Institutional Repositories
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 …
The Acceptance and Use of Cloud Computing Services by Small and Medium Enterprises in Lagos, Nigeria
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.
The Role of Tie Strength in the Diffusion of Complementary and Alternative Medicine Information among Yoga Practitioners
The National Center for Complementary and Integrated Health, National Institutes of Health, U.S. Department of Health and Human Services, has highlighted a need for research to better understand the usage of complementary and alternative medicine practices. The purpose of this study was to investigate the flow of complementary and alternative medicine information among yoga practitioners. The study consisted of 51 yoga practitioners from 7 yoga studio locations. This mixed-methods study used interviews, surveys, and field notes to collect data. Content and social network analyses provided supporting evidence for Rogers' diffusion of innovations theory and Granovetter's strength of weak ties theory. Key findings included a preference for face-to-face communications, students having both strong and weak relationship ties to directors and instructors, and yoga being the top recommended practice. The study suggested that yoga practitioners related to complementary and alternative medicine information through the lens of their friends and relatives, sought information from trusted sources, and used this information to determine which practices were right for them to pursue.
Building an Understanding of International Service Learning in Librarianship
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.
Costly Ignorance: The Denial of Relevance by Job Seekers: A Case Study in Saudi Arabia
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 …
The Effects of Student-Perceived Instructor Demotivating Behaviors on Doctoral Students' Information Seeking Behaviors
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.
Modeling Cognitive Authority Relationships
Information-seeking behavior is a mixture of activities and attitudes, oftentimes motivated by an individual's need to make a decision. One underlying element of this mixture is cognitive authority - which sources (e.g., individuals, institutions, texts, etc.) can be trusted to fulfil the information needs? In order to gain insight into the dynamics of cognitive authority selection behavior which is an information seeking behavior, this study explored primary source text data (316 text records) that reflected selection in the mundaneness of life (advice column submissions and responses). Linguistic analysis was performed on the data using the Linguistic Inquiry Word Count (LIWC2015) software package. Pearson correlation and 1-sample T tests revealed the same 45 statistically significant relationships (SSRs) in the word usage behavior of all subgroups. As a result of the study, the gap in research formed from the lack of quantitative models of cognitive authority relationships was addressed via the development of the Wordprint Classification System which was used to generate a cognitive authority relationship model in the form of a cognitive authority intra-segment wordprint. The findings and implications of this study may provide a contribution to the body of work in the area of information literacy and information seeker behavior by revealing factors that information scientists can address to help meet information seekers' needs. Additionally, the Wordprint Classification System may be used in such disciplines as psychology, marketing, and forensic linguistics to create to create models of various relationships or individuals through the use of written or spoken word usage patterns.
An Examination of the Role of Corporate Governance Structure in the Implementation of Enterprise Resource Planning (ERP) Systems: an International Perspective
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.
Information Use Environment of Religious Professionals: a Case Study of the Everyday Life Information Seeking Behavior of Catholic Clergy in Northern Nigeria
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.
Bridging the Theory-to-practice Gap: a Multivariate Correlational Study Exploring the Effects of a Graduate Online Learning Environment As a Community of Practice Framework
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.
Back to Top of Screen