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This study examines the role of information systems (IS) on environmental sustainability by gaining an understanding of how benefits may be realized from using IS in a green context (a particular IS, regional mesonet (RM) equipped with information- and communication-based technologies and a comprehensive information system) through the use of duel approaches: a survey (218 respondents) and a case study (six interviews of stakeholders of a RM). Our results provide evidence how IS use contributes to different goals at different levels of sustainability and advance knowledge of utilizing IS for providing actual as well as anticipated benefits to sustainability. In addition, our findings provide suggestions on how successful IS might be used to further induce actions and advance goals of environmental sustainability that can contribute to energy policy-making.
Qing Cao; Andrew Chen; Bradley Ewing; Mark Thompson. Evaluating Information System Success and Impact on Sustainability Practices: A Survey and a Case Study of Regional Mesonet Information Systems. Sustainability 2021, 13, 7260 .
AMA StyleQing Cao, Andrew Chen, Bradley Ewing, Mark Thompson. Evaluating Information System Success and Impact on Sustainability Practices: A Survey and a Case Study of Regional Mesonet Information Systems. Sustainability. 2021; 13 (13):7260.
Chicago/Turabian StyleQing Cao; Andrew Chen; Bradley Ewing; Mark Thompson. 2021. "Evaluating Information System Success and Impact on Sustainability Practices: A Survey and a Case Study of Regional Mesonet Information Systems." Sustainability 13, no. 13: 7260.
This paper introduces the concept of IT wisdom from a perspective of meta-capability and establishes the relationship between IT wisdom and firm performance. We propose that IT wisdom as a holistic meta-IT capability of a firm can strategically enable and exercise suitable IT capabilities and organizational capabilities to adapt to changing environments for improving firm performance. We test our hypotheses with panel data collected from 26 US companies over 15 years. The results of data analysis show that IT wisdom is significantly related to firm performance indicated by both accounting-based measures and market-based measures. Theoretical and practical implications of the findings are presented.
Yucong Liu; Younghwa Lee; Andrew N.K. Chen. How IT wisdom affects firm performance: An empirical investigation of 15-year US panel data. Decision Support Systems 2020, 133, 113300 .
AMA StyleYucong Liu, Younghwa Lee, Andrew N.K. Chen. How IT wisdom affects firm performance: An empirical investigation of 15-year US panel data. Decision Support Systems. 2020; 133 ():113300.
Chicago/Turabian StyleYucong Liu; Younghwa Lee; Andrew N.K. Chen. 2020. "How IT wisdom affects firm performance: An empirical investigation of 15-year US panel data." Decision Support Systems 133, no. : 113300.
A wait screen is one of the proactive mechanisms that have been suggested to manage online wait. Despite the presence of significant gender differences in traditional wait, a lack of studies in online wait context has been acknowledged. This study proposes a research model of online wait management based on the cognitive absorption theory and gender literature. We test the effects of online interface designs in a wait screen on waiting time perceptions across gender by manipulating the salience and framing of a progress cue. A total of 535 subjects participated in two controlled experiments. MANOVA and subsequent ANOVA tests were conducted. We found significant main and interaction effects of wait screen design cues and gender on the relationships between the design cues and cognitive absorption variables. Detailed theoretical and practical implications are provided.
Younghwa Lee; Andrew N.K. Chen. The effects of progress cues and gender on online wait. Decision Support Systems 2019, 123, 113070 .
AMA StyleYounghwa Lee, Andrew N.K. Chen. The effects of progress cues and gender on online wait. Decision Support Systems. 2019; 123 ():113070.
Chicago/Turabian StyleYounghwa Lee; Andrew N.K. Chen. 2019. "The effects of progress cues and gender on online wait." Decision Support Systems 123, no. : 113070.
Andrew N.K. Chen; Younghwa Lee; Yujong Hwang. Managing online wait: Designing effective waiting screens across cultures. Information & Management 2018, 55, 558 -575.
AMA StyleAndrew N.K. Chen, Younghwa Lee, Yujong Hwang. Managing online wait: Designing effective waiting screens across cultures. Information & Management. 2018; 55 (5):558-575.
Chicago/Turabian StyleAndrew N.K. Chen; Younghwa Lee; Yujong Hwang. 2018. "Managing online wait: Designing effective waiting screens across cultures." Information & Management 55, no. 5: 558-575.
We investigate the effects of individual difference with the framework of task–individual–technology fit under a multi-DSS models context using a two-phase view. Our research question is: in addition to task–technology fit, does individual–technology fit or individual–task fit matter in users' attitude and performance in the multi-tasks and multi-DSS models context? We first divide the concept of task–individual–technology fit into three dimensions – task–technology fit (TTF), individual–technology fit (ITeF), and task–individual fit (TaIF) – so that we can explore mechanisms and effects of interaction among these factors (i.e., task, individual difference, and technology). We then propose a two-phase view of task–individual–technology fit (i.e., pre-paradigm phase and paradigm phase) based on Kuhn's concept of revolutionary science. We conducted a controlled laboratory experiment with multiple DSS models and decision-making tasks to test our hypotheses. Results confirmed our arguments that in the paradigm phase, the effects of individual differences on user attitudes toward DSS models can be ignored and that in the pre-paradigm phases individual differences play an important role. In addition, we found that effects of individual difference can be a two-blade sword: ITeF can enhance but TaIF can diminish users' attitude to DSS model (i.e., technology). Our results also suggested that different dimensions of fit may affect performance directly or indirectly.
Yucong Liu; Younghwa Lee; Andrew N.K. Chen. Evaluating the effects of task–individual–technology fit in multi-DSS models context: A two-phase view. Decision Support Systems 2011, 51, 688 -700.
AMA StyleYucong Liu, Younghwa Lee, Andrew N.K. Chen. Evaluating the effects of task–individual–technology fit in multi-DSS models context: A two-phase view. Decision Support Systems. 2011; 51 (3):688-700.
Chicago/Turabian StyleYucong Liu; Younghwa Lee; Andrew N.K. Chen. 2011. "Evaluating the effects of task–individual–technology fit in multi-DSS models context: A two-phase view." Decision Support Systems 51, no. 3: 688-700.