2,080 research outputs found
Research Framework for Consumer Satisfaction with Internet Shopping
Consumer satisfaction with Internet shopping has been conceptualized in a variety of ways. Studies in this area remain broad and appear relatively fragmented. In view of this, the purpose of this study is to propose a research framework that integrates both end-user computing satisfaction literature and service quality literature. This framework explicitly considers information quality, system quality, and service quality as the key dimensions of consumer satisfaction with Internet shopping. We believe the research framework and propositions serve as salient guidelines for researchers
Task Solver or Socializer? The Impact of Camera Usage on Social Loafing in Hybrid Virtual Meeting Context
Understanding Usersâ Continuance Intention to Answer Questions in Online Question Answering Communities
This study develops a research model to investigate the antecedents of usersâ continuance intention to answer questions in online question answering (Q&A) communities based on the literature of knowledge contribution and behavioral continuance. The research model is tested by using the data collected from 241 users of a famous online Q&A community in China (i.e., âYahoo! Answers Chinaâ). The results indicate that satisfaction is the key determinant of continuance intention to answer questions. Satisfaction is, in turn, influenced by reputation enhancement, enjoyment in helping others and advancement of the online community. This study has implications for both theory and practice on the management and design of online Q&A communities
Cognitive Trust, Emotional Trust And The Value-Based Acceptance Model In Mobile Payment Adoption
Mobile commerce has grown rapidly worldwide and become globally competitive in the last decade. Despite the fact that mobile payment is a key enabling part of mobile commerce, consumersâ adoption has been lacking behind the adoption of many other mobile commerce activities. How to facilitate consumersâ adoption of mobile payment remains an important open question. Drawing on the attribution theory and value-based acceptance model, this study investigates the role of consumersâ trust on mobile payment adoption. In contrast to prior research, we develop a research model to examine the influence of both cognitive and emotional trust on consumersâ perceived value and the subsequent usage intention. We examine four dimensions of perceived value, namely functional, emotional, price and social value in the mobile payment context. The model is empirically tested with an online survey (n=273). Our results indicate that emotional trust has a much stronger effect than cognitive trust on consumersâ value perceptions. Further, functional, emotional and price value gain prominence in predicting adoption intention, while the effect of social value is insignificant. Discussions on limitations, theoretical and practical implications are provided
A Dual-Identity Perspective of Obsessive Online Social Gaming
Obsessive online social gaming has become a worldwide societal challenge that deserves more scholarly investigation. However, this issue has not received much attention in the information systems (IS) research community. Guided by dual-system theory, we theoretically derive a typology of obsessive technology use and contextually adapt it to conceptualize obsessive online social gaming. We also build upon identity theory to develop a dual-identity perspective (i.e., IT identity and social identity) of obsessive online social gaming. We test our research model using a longitudinal survey of 627 online social game users. Our results demonstrate that the typology of obsessive technology use comprises four interrelated types: impulsive use, compulsive use, excessive use, and addictive use. IT identity positively affects the four obsessive online social gaming archetypes and fully mediates the effect of social identity on obsessive online social gaming. The results also show that IT identity is predicted by embeddedness, self-efficacy, and instant gratification, whereas social identity is determined by group similarity, group familiarity, and intragroup communication. Our study contributes to the IS literature by proposing a typology of obsessive technology use, incorporating identity theory to provide a contextualized explanation of obsessive online social gaming and offering implications for addressing the societal challenge
When Socialization Goes Wrong: Understanding the We-Intention to Participate in Collective Trolling in Virtual Communities
Although collective trolling poses a growing threat to both individuals and virtual community owners, the information systems (IS) literature lacks a rich theorization of this phenomenon. To address the research gaps, we introduce the concept of we-intention to capture the collective nature of collective trolling in virtual communities. We also integrate the social identity model of deindividuation effects (SIDE) and situational action theory to invoke the sociotechnical perspective in theorizing collective trolling in virtual communities. The objective of this study is to use the sociotechnical perspective to understand the we-intention to participate in collective trolling in virtual communities. We test our proposed model using data gathered from 377 Reddit users. Our moderated mediation analysis elaborates how technical elements (i.e., anonymity of self and anonymity of others) influence the we-intention to participate in collective trolling via individual-based social elements (i.e., perceived online disinhibition and social identity), with an environment-based social element (i.e., the absence of capable guardianship) as a boundary condition. We contribute to research by explaining collective trolling in virtual communities from the group-referent intentional action perspective and sociotechnical perspective. We also offer practical insights into ways to combat collective trolling in virtual communities
Uncertainty, Scarcity and Transparency: Public Health Ethics and Risk Communication in a Pandemic
Communicating public health guidance is key to mitigating risk during disasters and outbreaks, and ethical guidance on communication emphasizes being fully transparent. Yet, communication during the pandemic has sometimes been fraught, due in part to practical and conceptual challenges around being transparent. A particular challenge has arisen when there was both evolving scientific knowledge on COVID-19 and reticence to acknowledge that resource scarcity concerns were influencing public health recommendations. This essay uses the example of communicating public health guidance on masking in the United States to illustrate ethical challenges of developing and conveying public health guidance under twin conditions of uncertainty and resource scarcity. Such situations require balancing two key principles in public health ethics: the precautionary principle and harm reduction. Transparency remains a bedrock value to guide risk communication, but optimizing transparency requires consideration of additional ethical values in developing and implementing risk communication strategies
Identifying metabolites by integrating metabolome databases with mass spectrometry cheminformatics.
Novel metabolites distinct from canonical pathways can be identified through the integration of three cheminformatics tools: BinVestigate, which queries the BinBase gas chromatography-mass spectrometry (GC-MS) metabolome database to match unknowns with biological metadata across over 110,000 samples; MS-DIAL 2.0, a software tool for chromatographic deconvolution of high-resolution GC-MS or liquid chromatography-mass spectrometry (LC-MS); and MS-FINDER 2.0, a structure-elucidation program that uses a combination of 14 metabolome databases in addition to an enzyme promiscuity library. We showcase our workflow by annotating N-methyl-uridine monophosphate (UMP), lysomonogalactosyl-monopalmitin, N-methylalanine, and two propofol derivatives
Applying Theory to Explain the Influence of Factors External to an Organization on the Implementation of an Evidence-Based Intervention
Despite its widely acknowledged influence on implementation, limited research has been done on how the external environment (i.e., outer setting) determines when organizations adopt and implement new interventions. Determinant frameworks identify several outer setting-level factors such as funding streams, inter-organizational relationships, and peer pressure. However, these frameworks do not explain how or why outer-setting factors influence implementation. To advance research in this area, we argue for the importance of deriving theory-based propositions from organization theory to explain how outer setting factors influence organizations. Drawing on the work of the Organization Theory in Implementation Science (OTIS) project, we identified 20 propositions from five classic organization theoriesâComplexity Theory, Contingency Theory, Institutional Theory, Resource Dependence Theory, and Transaction Cost Economics. We then applied those propositions to hypothesize relationships among outer setting factors, implementation strategies, and implementation outcomes in five case studies of evidenced-based tobacco control interventions. The five case studies address the implementation of smoke-free policies, community health worker-led tobacco education and cessation programs, 5 A's (Ask, Advise, Assess, Assist, and Arrange), point-of-sale tobacco marketing policy interventions, and quitlines. The case studies illustrate how propositions may be used to guide the selection and testing of implementation strategies. Organization theories provide a menu of propositions that offer guidance for selecting and optimizing high-leverage implementation strategies that target factors at the level of outer setting. Furthermore, these propositions suggest testable hypotheses regarding the mechanisms underlying the influence of outer-setting factors on how and why organizations adopt and implement interventions
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