Digital Frugality for Managerial Tasks: Three-way Interaction Effects of Redundancy of Software on Techno-stressors

In this research, we study how non-frugal organizational IT practices can affect employee well-being in completing managerial tasks. Building on the conservation of resource theory, we will examine a three-way interaction effect of the redundancy of required skills, required resources, and obtained results on technology-driven stressors. Data was collected from 357 managers to analyze the proposed three-way interaction effect for techno-overload, techno-complexity, techno- invasion, techno-insecurity, and techno-uncertainty. This article highlights the importance of being frugal – that is, acknowledging and diminishing redundancy among ICT assets and usage within organizations - for reducing technostress among employees

Evaluation of e-learning web sites using fuzzy axiomatic design based approach

High quality web site has been generally recognized as a critical enabler to conduct online business. Numerous studies exist in the literature to measure the business performance in relation to web site quality. In this paper, an axiomatic design based approach for fuzzy group decision making is adopted to evaluate the quality of e-learning web sites. Another multi-criteria decision making technique, namely fuzzy TOPSIS, is applied in order to validate the outcome. The methodology proposed in this paper has the advantage of incorporating requirements and enabling reductions in the problem size, as compared to fuzzy TOPSIS. A case study focusing on Turkish e-learning websites is presented, and based on the empirical findings, managerial implications and recommendations for future research are offered

Sweet escape: The role of empathy in social media engagement with human versus virtual influencers

Virtual influencers engage in emotional sharing to gain and keep followers. However, given that many people use social media for diversion purposes, this emotional sharing may hinder users’ ability to escape from everyday emotional experiences, particularly for highly empathetic individuals. Using a between subjects, randomised experimental design, we explore how empathy affects reactions to virtual vs. human influencers, showing that those highest on empathy are more likely to follow a virtual influencer, and rate her as more socially attractive, than a comparable human influencer; these results disappear when the influencers’ true nature is unknown to participants. We postulate that these results represent an “escapism effect”, where the virtual influencer is expected to provide greater diversionary benefits from everyday human emotional experiences and require fewer cognitive resources in the form of emotional sense making. We present practical implications and future research opportunities arising from this effect

Close encounters with the virtual kind: Defining a human-virtual agent coexistence framework

Virtual agent research has evolved into a substantial body of work, albeit one with a fragmented structure and overlapping, and at times inconsistent, definitions and results. The current paper presents a computational literature review of 1865 academic journal publications and conference proceedings from 1995 to 2022 using Latent Dirichlet Allocation to understand the publication trends in the field, its intellectual structure, and how topics within virtual agent research have evolved and relate to each other. Our results point to a model of 16 topics as best representing the current state of the research landscape. We present descriptions of these topics, as well as topic dynamics and networks, in order to provide a clear picture of the current state of the field. We then organise these topics into a Human-Virtual Agent Coexistence Framework, identifying current trends and opportunities for future research

Evaluation of e-learning web sites using fuzzy axiomatic design based approach

High quality web site has been generally recognized as a critical enabler to conduct online business. Numerous studies exist in the literature to measure the business performance in relation to web site quality. In this paper, an axiomatic design based approach for fuzzy group decision making is adopted to evaluate the quality of e-learning web sites. Another multi-criteria decision making technique, namely fuzzy TOPSIS, is applied in order to validate the outcome. The methodology proposed in this paper has the advantage of incorporating requirements and enabling reductions in the problem size, as compared to fuzzy TOPSIS. A case study focusing on Turkish elearning websites is presented, and based on the empirical findings, managerial implications and recommendations for future research are offered

Logistics tool selection with two-phase fuzzy multi criteria decision making: a case study for personal digital assistant selection

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