Although prior research has examined the influence of technostress creators on job outcomes, insights into the influence of personality traits on the perceptions of technostress creators and their consequent impacts on job outcomes are rather limited. Such insights would enable a deeper understanding about the effects of individual differences on salient job-related outcomes. In this research, by leveraging the distinctions in personality traits offered by the big five personality traits in the five-factor model and grounding the research in the transactional model of stress and coping, we theorise the moderating influence of personality traits on the relationships between technostress creators and job outcomes, namely job burnout and job engagement. Specifically, the study theorises the mechanisms through which each of the specific personality traits openness-to-experience, neuroticism, agreeableness, conscientiousness and extraversion interacts with technostress creators to differently influence job burnout and job engagement. We test the proposed model in a field study based on a survey of senior organisational managers who regularly use information and communication technologies for executing professional tasks. Although technostress creators are generally associated with negative job outcomes, our results also show that for individuals with certain personality traits, technostress creators may result in positive job outcomes. The study thus contributes to the technostress literature, specifically by incorporating the salient role of individual differences. The study also provides insights for managers who should pay special attention to allocating specific job roles to employees with particular personality traits in order to optimise jobrelated outcomes.

Consumer adoption of mobile payment (m-payment) solutions is low compared to the acceptance of traditional forms of payments. Motivated by this fact, we propose and test a "trust-theoretic model for consumer adoption of mpayment systems." The model, grounded in literature on "technology adoption" and "trust," not only theorizes the role of consumer trust in m-payment adoption, but also identifies the facilitators for consumer trust in m-payment systems. It proposes two broad dimensions of trust facilitators: "mobile service provider characteristics" and "mobile technology environment characteristics." The model is empirically validated via a sample of potential adopters in Singapore. In contrast to other contexts, results suggest the overarching importance of "consumer trust in mpayment systems" as compared to other technology adoption factors. Further, differential importance of the theorized trust facilitators of "perceived reputation" and "perceived opportunism" of the mobile service provider, and "perceived environmental risk" and "perceived structural assurance" of the mobile technology, are also highlighted. A series of post-hoc analyses establish the robustness of the theorized configuration of constructs. Subsequent, subgroup analyses highlight the differential significance of trust facilitators for different user subgroups. Implications for research and practice emerging out of this study are also discussed.

Through a systematic review of publications in reputed peer-reviewed journals, this paper investigates the role of blockchain technology in sustainable supply chain management. It uses the What, Who, Where, When, How, and Why (5W+1H) pattern to formulate research objectives and questions. The review considers publications since 2015, and it includes 187 papers published in 2017, 2018, 2019, and the early part of 2020, since no significant publications were found in the year 2015 or 2016 on this subject. It proposes a reusable classification framework—emerging technology literature classification level (ETLCL) framework—based on grounded theory and the technology readiness level for conducting literature reviews in various focus areas of an emerging technology. Subsequently, the study uses ETLCL to classify the literature on our focus area. The results show traceability and transparency as the key benefits of applying blockchain technology. They also indicate a heightened interest in blockchain-based information systems for sustainable supply chain management starting since 2017. This paper offers invaluable insights for managers and leaders who envision sustainability as an essential component of their business. The findings demonstrate the disruptive power and role of blockchain-based information systems. Given the relative novelty of the topic and its scattered literature, the paper helps practitioners examining its various aspects by directing them to the right information sources.

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Virtual worlds (VWs) are media-rich cognitively engaging technologies that geographically dispersed organizations can use as a cost effective workplace collaboration tool. Using an information processing decision making perspective and building on unique characteristics of VWs, this paper proposes a nomological net for adaptive use intention (AUI) of VWs for workplace collaborations. AUI implies intention to use a technology in a setting different from the one for which it was initially designed. We study the AUI of VWs as a workplace collaboration tool which were originally conceived as recreational gaming platforms. Decisionmaking literature directs us to reduction of perceived cognitive burden and minimization of risk as the two key motivations for VWs' AUI. Building on these motivations, the paper identifies cognitive absorption and user trust in VWs as the mechanisms leading to individual-level AUI decision. Drawing on social cognitive theory and literature on trust, the proposed model not only re-specifies the concept of cognitive absorption in the contextof VWs but also relates it to the level of trust and usage intention for VWs. We empirically tested the proposed model via data collected from 197 VW users in Singapore. Results demonstrate the significant roles that cognitive absorption' and user trust play in VW's usage as a collaboration tool. Further, through a series of posthoc analyses, we demonstrate the imperative need for considering both cognitive absorption and user trust together in the proposed research model for theoretical parsimony. We also discuss implications for research and practice emerging out of this study.

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Dysphagia is a significant predictor of worse clinical and operational outcomes including a 38% longer LOS and a 30% increase in charge per case among hospitalized patients with dementia. Although these findings may not be surprising, this new evidence might bring heightened awareness for the need to more thoughtfully support patients with dementia and dysphagia who are hospitalized.