A Study of Performance and Effort Expectancy Factors Among Generational and Gender Groups to Predict Enterprise Social Software Technology Adoption

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Social software technology has gained considerable popularity over the last decade and has had a great impact on hundreds of millions of people across the globe. Businesses have also expressed their interest in leveraging its use in business contexts. As a result, software vendors and business consumers have invested billions of dollars to use social software to improve business and employee productivity. The purpose of this study was to provide insights to business leaders and decision makers as they shaped their enterprise social software (ESS) delivery plans. A vast body of information exists on the benefits of ESS and its … continued below

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Patel, Sunil S. May 2013.

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  • Patel, Sunil S.

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Social software technology has gained considerable popularity over the last decade and has had a great impact on hundreds of millions of people across the globe. Businesses have also expressed their interest in leveraging its use in business contexts. As a result, software vendors and business consumers have invested billions of dollars to use social software to improve business and employee productivity. The purpose of this study was to provide insights to business leaders and decision makers as they shaped their enterprise social software (ESS) delivery plans. A vast body of information exists on the benefits of ESS and its technical implementation, but little empirical research is available on employees' perceptions of ESS expectancy factors (i.e. usefulness and ease of use). This study focused on IT managers' perceptions of ESS expectancy factors to understand their behavioral intent to adopt ESS technology. Additional research was performed to uncover relationships and differences between IT Managers' adoption intentions and employee age, gender, and generational groups. Survey results were analyzed using a correlation research design and demonstrated significant relationships were found between IT managers' expectancy factors and their behavioral intent to adopt ESS technology. Differences were also demonstrated between IT managers' age, gender, and generational cohort groups. The results of this research should help business leaders gain insights into technology adoption factors among IT managers. Lastly, the practical applicability and opportunities for future research are discussed.

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  • May 2013

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  • Feb. 1, 2014, 6:14 p.m.

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Patel, Sunil S. A Study of Performance and Effort Expectancy Factors Among Generational and Gender Groups to Predict Enterprise Social Software Technology Adoption, dissertation, May 2013; Denton, Texas. (https://digital.library.unt.edu/ark:/67531/metadc271875/: accessed April 16, 2024), University of North Texas Libraries, UNT Digital Library, https://digital.library.unt.edu; .

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