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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.
With growing reluctance to store and disseminate sensitive data throughout a supply chain network, there is a need to understand sentiment of big data and ways of control to achieve greater economic viability in the service-oriented supply chain which reflect a greater focus on knowledge sharing from traditional supply chains. Social network data were collected after referencing a focal corporate media (CM) document. This study provides causal inference by first conducting a CM document search and then a social network post web scrape of postings that reference the CM document while controlling for time and other demographic variables. This study finds salience of the big data topic positively impacts stakeholder sentiment but not when future applications are discussed.
Ray Qing Cao; Dara G. Schniederjans; Vicky Ching Gu. Stakeholder sentiment in service supply chains: big data meets agenda-setting theory. Service Business 2021, 15, 151 -175.
AMA StyleRay Qing Cao, Dara G. Schniederjans, Vicky Ching Gu. Stakeholder sentiment in service supply chains: big data meets agenda-setting theory. Service Business. 2021; 15 (1):151-175.
Chicago/Turabian StyleRay Qing Cao; Dara G. Schniederjans; Vicky Ching Gu. 2021. "Stakeholder sentiment in service supply chains: big data meets agenda-setting theory." Service Business 15, no. 1: 151-175.
John Wang; Ray Qing Cao; Vicky Ching Gu. A mathematical model for measuring and managing macrosustainabilty. International Journal of Business and Systems Research 2019, 13, 1 .
AMA StyleJohn Wang, Ray Qing Cao, Vicky Ching Gu. A mathematical model for measuring and managing macrosustainabilty. International Journal of Business and Systems Research. 2019; 13 (1):1.
Chicago/Turabian StyleJohn Wang; Ray Qing Cao; Vicky Ching Gu. 2019. "A mathematical model for measuring and managing macrosustainabilty." International Journal of Business and Systems Research 13, no. 1: 1.
In order for the human race to continue to thrive in the long term, we have to learn how to manage our natural resources wisely. In order to manage something you must first be able to measure it. Macrosustainabilty is the key to finding solutions to megaproblems facing the Earth such as insufficient access to food, environmental degradation, declining natural resources, and deteriorating communities. This paper measures and manages global macrosustainabilty. An optimisation model has been set based on the five categories.
John Wang; Ray Qing Cao; Vicky Ching Gu. A mathematical model for measuring and managing macrosustainabilty. International Journal of Business and Systems Research 2019, 13, 100 .
AMA StyleJohn Wang, Ray Qing Cao, Vicky Ching Gu. A mathematical model for measuring and managing macrosustainabilty. International Journal of Business and Systems Research. 2019; 13 (1):100.
Chicago/Turabian StyleJohn Wang; Ray Qing Cao; Vicky Ching Gu. 2019. "A mathematical model for measuring and managing macrosustainabilty." International Journal of Business and Systems Research 13, no. 1: 100.
Some supply chain management researchers have realized the potential of collaborative activities for enhancing supply chain performance while other researchers have explored the positive impact of relationship quality on supply chain performance. To date, however, no empirical research has integrated these two research streams. Drawing upon social exchange theory, the authors propose a holistic research framework to explore the relationships among collaborative activities, the inter-organizational relationship quality, and supply chain performance. Specifically, they examine the mediating effect of relationship quality on the association between collaborative activities and supply chain performance. The research model is then tested using survey data (n=219). The authors' results illustrate a positive impact of both collaborative activities and relationship quality on enhancing supply chain performance. Moreover, this paper also supports the hypothesis that relationship quality mediates the relationship between collaborative activities and supply chain performance in third party logistics.
Vicky Ching Gu; Ray Qing Cao; Ken Black; Hansen Zeng. Managing Collaborative Relationships in Third Party Logistics. International Journal of Information Systems and Supply Chain Management 2017, 10, 42 -65.
AMA StyleVicky Ching Gu, Ray Qing Cao, Ken Black, Hansen Zeng. Managing Collaborative Relationships in Third Party Logistics. International Journal of Information Systems and Supply Chain Management. 2017; 10 (2):42-65.
Chicago/Turabian StyleVicky Ching Gu; Ray Qing Cao; Ken Black; Hansen Zeng. 2017. "Managing Collaborative Relationships in Third Party Logistics." International Journal of Information Systems and Supply Chain Management 10, no. 2: 42-65.
Supply chains are increasingly becoming more complex, making collaboration progressively difficult to establish and maintain. It is imperative to understand not only the consequences, but also the drivers of effective and efficient collaboration. In this study, we attempt to show how varying levels of collaboration impact service level and how cloud computing fosters these levels of collaboration. We introduce a framework detailing how cloud computing impacts three levels of collaboration: (1) information centralisation, (2) vendor managed inventory and continuous replenishment programmes and (3) business intelligence (BI) collaborative planning, forecasting and replenishment. In addition, we use multi-agent-based simulation to analyse how each level of collaboration (enhanced through cloud computing) impacts service level as measured by fill rate. Obtained results show that cloud computing can enhance all three levels of collaboration. Further, our results demonstrate that BI collaborative planning, forecasting and replenishment have significantly greater service level benefits in comparison to other collaboration levels.
Yang Yu; Ray Qing Cao; Dara Schniederjans. Cloud computing and its impact on service level: a multi-agent simulation model. International Journal of Production Research 2016, 55, 4341 -4353.
AMA StyleYang Yu, Ray Qing Cao, Dara Schniederjans. Cloud computing and its impact on service level: a multi-agent simulation model. International Journal of Production Research. 2016; 55 (15):4341-4353.
Chicago/Turabian StyleYang Yu; Ray Qing Cao; Dara Schniederjans. 2016. "Cloud computing and its impact on service level: a multi-agent simulation model." International Journal of Production Research 55, no. 15: 4341-4353.