The Diffusions, Impacts, Adoption and Usage of ICTs upon Society
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ItemJob Seekers' Acceptance of Job Recommender Systems: Results of an Empirical Study( 2018-01-03)Based on UTAUT2 and the importance of trust to explain user behavior in relation to recommender systems, we focus on job recommender systems by developing and validating a job recommender system acceptance model. The results of our empirical, survey-based study with 440 job seekers indicate that beside performance expectancy and habit, trust is among the three most important determinants and it is especially relevant for women, passive job seekers and those without experience in using job recommender systems. The paper extends general trust and recommender system research by revealing three moderators for the trust and intention relationship. It contextualizes the UTAUT2 by incorporating trust as an antecedent of a consumer’s intention to use and by revealing three moderating effects for this relationship. Hence, it is the basis for further studies investigating the acceptance of job recommender system, which has rather been neglected by prior research.
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ItemThe Impact s of Requested Permission on Mobile App Adoption: The Insights Based on an Experiment in Taiwan( 2018-01-03)Due to the popularity of smartphones, the number of apps has been growing up rapidly. Users have to grant requested permissions before downloading apps. However, some apps may request more permissions than they need. It may cause the concern of security or privacy. The purpose of this study is to investigate the impacts of requested permissions on users' intention to install mobile apps. We developed the proposed proposal by embedding the social exchange theory into technology acceptance model plus the concept of permission-function fit, perceived privacy-level and perceived privacy risk. We validated the proposed hypotheses with data collected from 389 smartphone users by using experimental design approach. The findings include (1) Users' attitude toward the app positively influences their download intention. (2) Users' perceived usefulness and the ranking of the app positively influence users' attitude toward the app while perceived privacy risk negatively affects users' attitude. Further, if the app requests more permissions than it needs, users have a negative attitude toward it. Overall, perceived usefulness has the strongest effect on attitude. (3) The privacy-level of the requested permissions positively affects users' perception of privacy risk. In addition, if there are over-requested permissions, users perceive higher privacy risk.
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ItemUnderstanding the Determinants of Cloud Computing Adoption for High Performance Computing( 2018-01-03)Within the complex context of high performance computing (HPC), the factors influencing technology adoption decisions remain largely unexplored. This study extends Diffusion of Innovation (DOI) and Human-Organization-Technology fit (HOT-fit) theories into an integrated model, to explore the impact of ten factors on cloud computing adoption decisions in the HPC context. The results suggest that adopters and non-adopters have different perceptions of the indirect benefits, adequacy of resources, top management support, and compatibility of adopting cloud computing for HPC. In addition, perceptions of the indirect benefits and HPC competences can be used to predict the cloud computing adoption decision for HPC. This is one of the first studies in the information systems (IS) literature exploring the factors impacting the cloud computing adoption decision in the important context of HPC. It integrates two influential technology adoption theories and enhances understanding of the key factors influencing organizations’ cloud computing adoption decisions in this context.
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ItemHow Do IT-related Traits Drive the Internet Use of Mature Adults? The Interplay of Curiosity and Control( 2018-01-03)It can frequently be observed that mature adults use the Internet differently as younger members of society. We propose a model based on IT-related traits to conceptualize the Internet use behavior of mature adults, specifically focusing on curiosity- and control-related traits. We empirically tested our model by investigating the duration and intensity of mature adults’ Internet use. The results reveal that traits reflecting -˜curiosity’ (Personal Innovativeness in IT and Computer Playfulness) explain variations in the duration of Internet use, while traits reflecting -˜control’ (Computer Self-Efficacy and Computer Anxiety) predict the intensity to which mature adults make use of the Internet. Our paper thereby contributes to research on post-acceptance variations and on individual differences in IT use.
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ItemHow to Check Out? An Empirical Exploration of Customers’ Different Cognitive Processes in Retailing Context( 2018-01-03)Self-checkouts (SCOs) have become an integral part of many retail servicescapes. While SCOs have the potential to improve service while simultaneously cutting operations costs, achieving satisfactory utilization rates for them can be challenging. As these systems come with high investment costs, it is important for managers to understand how customers choose between traditional service and self-service technology. To understand this choice better, we study the cognitive processes consumers use in their decision-making through the lens of dual-systems theories. We conduct an exploratory field study where we observe and interview customers checking out from retail stores. We discover four distinct customer types regarding the extent of reflexive (automatic) and reflective (deliberate) processing they use in their checkout selection: habitual traditional checkout users, habitual SCO users, situational users, and drifting users. Moreover, we find that the processing styles are highly related to the different stages of technology acceptance.
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ItemUnderstanding Benefit and Risk Framework of Fintech Adoption: Comparison of Early Adopters and Late Adopters( 2018-01-03)Financial technology (Fintech) service has recently become the focus of considerable attention. Although many researchers and practitioners believe that Fintech can reshape the future of the financial services industry, others are skeptical about the adoption of Fintech because of the considerable risks involved. Therefore, we need to better understand why users are willing or hesitant to adopt Fintech, wherein, positive and negative factors affect their adoption decision. Based on the net valence framework theoretically embedded in theory of reasoned action, we propose a benefit-risk framework which integrates positive and negative factors associated with its adoption. Based on the empirical data collected from 244 Fintech users, this study initially investigates whether perceived benefit and risk significantly impact Fintech adoption intention. We then examine whether the effect of perceived benefit and risk on Fintech adoption intention differs depending on the user types. Results show that legal risk has the biggest negative effect, whereas convenience has the strongest positive effect on Fintech adoption intention. The differences between early adopters and late adopters are driven by different factors.
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ItemInternet Use and Online Activities in U.S. States: Geographic Disparities and Socio-economic Influences( 2018-01-03)Attention in the digital divide research agenda is shifting gradually from material access of information and communication technologies (ICTs) to actual use of ICTs. As internet usage increases worldwide and online activities concomitantly expand in range and sophistication, it becomes essential to examine patterns and disparities of such usage. This paper examines geographic patterns and disparities along with influences of demographic, economic, and social factors on internet use in U.S. states. Our conceptual model of internet use posits associations of 21 traditional (socio-economic) as well as non-traditional independent variables (social capital, societal openness, innovation, infrastructure, and affordability) with dependent indicators of e-communication, e-commerce, e-education, e-entertainment, e-health, and telework. Age, race/ethnicity, innovation, urban location, managerial and scientific occupations, and social capital are found to predominantly influence internet use spanning a range of online activities. Policy implications of these findings are discussed taking cognizance of geographic disparities in internet use among the fifty states.
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ItemInformation and communication technology use continuance behavioral intention: Differential effect based on socio-economic status( 2018-01-03)In the global information society, the importance of the Internet cannot be overemphasized. Unfortunately, a case in point is Africa, where, as per 2017 statistics, only 9.4 % of the population use the Internet [25]. While tremendous efforts have been made to address global Internet penetration, recent studies and statistics still indicate the digital inequality still exists today (Yu et al, 2016) and it prevents some individuals to benefit from the digital opportunities. The aim of this paper is to understand the difference in Internet use continuance by people of different economic status. The finding showed that satisfaction is the strongest precursor for Internet use continuance and it affects stronger the socio-economically advantaged groups than the socio-economically disadvantaged people. The results imply that different strategies should be adopted to bridge the digital inequality basis of socio-economic status more specifically income levels.
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