Many studies have investigated the burnout model in Western societies but have ignored it in the Arab region. They have also found that the burnout model does not have clear cut dimensions. To fill this gap, the authors applied a modified version of the burnout model to college students in Kuwait to measure their satisfaction with an e-learning system during the Coronavirus pandemic. They survey 573 college-level students in Kuwait on their preference of online learning. The results indicated that the perceived workload and exhaustion (as a burnout variable) had more of an effect on dissatisfaction with e-learning than system quality. Further, they also found that dissatisfaction was negatively associated with e-learning acceptance.
{"title":"Why People in Kuwait Do Not Prefer Online Learning Systems","authors":"Hasan A. Abbas, Kamel Rouibah, Ahmad M. Baqer","doi":"10.4018/jgim.332782","DOIUrl":"https://doi.org/10.4018/jgim.332782","url":null,"abstract":"Many studies have investigated the burnout model in Western societies but have ignored it in the Arab region. They have also found that the burnout model does not have clear cut dimensions. To fill this gap, the authors applied a modified version of the burnout model to college students in Kuwait to measure their satisfaction with an e-learning system during the Coronavirus pandemic. They survey 573 college-level students in Kuwait on their preference of online learning. The results indicated that the perceived workload and exhaustion (as a burnout variable) had more of an effect on dissatisfaction with e-learning than system quality. Further, they also found that dissatisfaction was negatively associated with e-learning acceptance.","PeriodicalId":46306,"journal":{"name":"Journal of Global Information Management","volume":"17 2","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135167372","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Electric vehicles are expected to become a major means of transportation in the future, but entail the challenge of collecting used electric vehicle batteries. This article examines pricing strategies in a closed-loop dual-channel supply chain for electric vehicle batteries both with and without a governmental reward and punishment mechanism. The discussion considers the optimal pricing strategy considering the competition between dual collecting channels, both with the government's reward and punishment mechanism and without it. The degree of influence of government mechanisms, echelon utilization, and EV battery collection on a) collection price, b) collection capacity, and c) the profit obtained by participants are also examined. The discussion shows that collection capacity, collection price, and recycler profits in the closed-loop EV battery supply chain could be improved with a government reward and punishment mechanism. Finally, the robustness of the proposed model was verified through numerical examples.
{"title":"Developing Pricing Strategy in a Closed-Loop Supply Chain for Electric Vehicle Batteries With a Government Reward and Punishment Mechanism","authors":"Zhiguo Wang, Xiao He","doi":"10.4018/jgim.332232","DOIUrl":"https://doi.org/10.4018/jgim.332232","url":null,"abstract":"Electric vehicles are expected to become a major means of transportation in the future, but entail the challenge of collecting used electric vehicle batteries. This article examines pricing strategies in a closed-loop dual-channel supply chain for electric vehicle batteries both with and without a governmental reward and punishment mechanism. The discussion considers the optimal pricing strategy considering the competition between dual collecting channels, both with the government's reward and punishment mechanism and without it. The degree of influence of government mechanisms, echelon utilization, and EV battery collection on a) collection price, b) collection capacity, and c) the profit obtained by participants are also examined. The discussion shows that collection capacity, collection price, and recycler profits in the closed-loop EV battery supply chain could be improved with a government reward and punishment mechanism. Finally, the robustness of the proposed model was verified through numerical examples.","PeriodicalId":46306,"journal":{"name":"Journal of Global Information Management","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135855440","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Finding the balance between economy and low emission of an integrated energy system (IES) has become one of the current research hotspots. This article introduces the carbon tax and carbon capture (storage) technology within the framework of the IES model. The IES comprises of components such as combined heat and power units equipped with carbon capture facilities, wind power generators, photovoltaic panels, and energy storage systems. The objective function of the model is the minimization of operational costs. Low-carbon economic operation dispatching problem under the constraints of energy conversion, energy balance, and operation cost is studied based on a mix-integer linear programming model. Through sensitivity analysis, this study explores the impact of varying carbon tax levels on the operational costs and emissions of an IES while considering peak and valley price differences. The emission reduction potential of the IES under different policy and technology scenarios is also estimated.
{"title":"Impact of Carbon Capture (Storage) and Carbon Tax on Economic Dispatch of an Integrated Energy System","authors":"Zhizhou Tan, Boqiang Lin","doi":"10.4018/jgim.331695","DOIUrl":"https://doi.org/10.4018/jgim.331695","url":null,"abstract":"Finding the balance between economy and low emission of an integrated energy system (IES) has become one of the current research hotspots. This article introduces the carbon tax and carbon capture (storage) technology within the framework of the IES model. The IES comprises of components such as combined heat and power units equipped with carbon capture facilities, wind power generators, photovoltaic panels, and energy storage systems. The objective function of the model is the minimization of operational costs. Low-carbon economic operation dispatching problem under the constraints of energy conversion, energy balance, and operation cost is studied based on a mix-integer linear programming model. Through sensitivity analysis, this study explores the impact of varying carbon tax levels on the operational costs and emissions of an IES while considering peak and valley price differences. The emission reduction potential of the IES under different policy and technology scenarios is also estimated.","PeriodicalId":46306,"journal":{"name":"Journal of Global Information Management","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136293818","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Antoine Harfouche, Bernard Quinio, Francesca Bugiotti
The global health crisis represents an unprecedented opportunity for the development of artificial intelligence (AI) solutions. This article aims to tackle part of the biases in artificial intelligence by implementing a human-centric AI to help decision-makers in organizations. It relies on the results of two design science research (DSR) projects: SCHOPPER and VRAILEXIA. These two design projects operationalize the human-centric AI approach with two complementary stages: 1) the first installs a human-in-loop informed design process, and 2) the second implements a usage architecture that aggregates AI and humans. The proposed framework offers many advantages such as permitting to integrate of human knowledge into the design and training of the AI, providing humans with an understandable explanation of their predictions, and driving the advent of augmented intelligence that can turn algorithms into a powerful counterweight to human decision-making errors and humans as a counterweight to AI biases.
{"title":"Human-Centric AI to Mitigate AI Biases","authors":"Antoine Harfouche, Bernard Quinio, Francesca Bugiotti","doi":"10.4018/jgim.331755","DOIUrl":"https://doi.org/10.4018/jgim.331755","url":null,"abstract":"The global health crisis represents an unprecedented opportunity for the development of artificial intelligence (AI) solutions. This article aims to tackle part of the biases in artificial intelligence by implementing a human-centric AI to help decision-makers in organizations. It relies on the results of two design science research (DSR) projects: SCHOPPER and VRAILEXIA. These two design projects operationalize the human-centric AI approach with two complementary stages: 1) the first installs a human-in-loop informed design process, and 2) the second implements a usage architecture that aggregates AI and humans. The proposed framework offers many advantages such as permitting to integrate of human knowledge into the design and training of the AI, providing humans with an understandable explanation of their predictions, and driving the advent of augmented intelligence that can turn algorithms into a powerful counterweight to human decision-making errors and humans as a counterweight to AI biases.","PeriodicalId":46306,"journal":{"name":"Journal of Global Information Management","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135093142","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Fostering pro-environmental behaviors (PEBs) among the young generation is imperative. Based on a micro-survey of Chinese college students, the authors used Logit and ordered Logit model to obtain empirical information on perceived past environmental quality and current PEBs. The authors found that environmental improvement positively impacted various PEBs, including green travel, plastic bag use, garbage sorting, and energy conservation. Better perceived environmental quality leads to increased environmental expectations, motivation to adopt PEBs, and awareness of environmental responsibility. The positive effect is more pronounced for individuals engaged in environmental protection activities, familiar with environmental advocacy, and with a family consensus on environmental protection. These findings were corroborated through robustness tests of alternative methods, samples, and measures. There is a positive feedback loop between a sustainable environment and human behavior. Policy recommendations are offered to further strengthen this symbiotic relationship.
{"title":"Pro-Environmental Behaviors and Environmental Improvement","authors":"Boqiang Lin, Kai Wei","doi":"10.4018/jgim.331089","DOIUrl":"https://doi.org/10.4018/jgim.331089","url":null,"abstract":"Fostering pro-environmental behaviors (PEBs) among the young generation is imperative. Based on a micro-survey of Chinese college students, the authors used Logit and ordered Logit model to obtain empirical information on perceived past environmental quality and current PEBs. The authors found that environmental improvement positively impacted various PEBs, including green travel, plastic bag use, garbage sorting, and energy conservation. Better perceived environmental quality leads to increased environmental expectations, motivation to adopt PEBs, and awareness of environmental responsibility. The positive effect is more pronounced for individuals engaged in environmental protection activities, familiar with environmental advocacy, and with a family consensus on environmental protection. These findings were corroborated through robustness tests of alternative methods, samples, and measures. There is a positive feedback loop between a sustainable environment and human behavior. Policy recommendations are offered to further strengthen this symbiotic relationship.","PeriodicalId":46306,"journal":{"name":"Journal of Global Information Management","volume":"215 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135828815","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The emergence of digital technologies has disrupted traditional business models, forcing companies to adopt agile responses to remain competitive. Digital agility, the ability to quickly adapt to digital disruptions and opportunities, has become a crucial factor in organizational success. This study aims to synthesize the existing literature on agile responses to digital challenges from a strategic capability perspective, examining the various facets of digital agility, including its antecedents, outcomes, and the organizational factors that enable its development. The present study provides a synthesis of drivers, challenges, strategies, and outcomes of digital agility aligned with the organization, and presents a discussion about future research direction. The study can help organizations unleash digital agility to respond effectively to digital challenges.
{"title":"Unleashing Digital Agility","authors":"Florence Duvivier, Gaurav Gupta","doi":"10.4018/jgim.331092","DOIUrl":"https://doi.org/10.4018/jgim.331092","url":null,"abstract":"The emergence of digital technologies has disrupted traditional business models, forcing companies to adopt agile responses to remain competitive. Digital agility, the ability to quickly adapt to digital disruptions and opportunities, has become a crucial factor in organizational success. This study aims to synthesize the existing literature on agile responses to digital challenges from a strategic capability perspective, examining the various facets of digital agility, including its antecedents, outcomes, and the organizational factors that enable its development. The present study provides a synthesis of drivers, challenges, strategies, and outcomes of digital agility aligned with the organization, and presents a discussion about future research direction. The study can help organizations unleash digital agility to respond effectively to digital challenges.","PeriodicalId":46306,"journal":{"name":"Journal of Global Information Management","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135898918","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Blockchain technology is a prominent technological innovation and firms increasingly engage in the initiatives. But blockchain technology is still in its early stage and a thorough understanding of its financial values remains elusive. By employing a large sample of public firms listed in China market, this study aims to estimate the impact of blockchain initiatives on firm default risk. Using an instrumental variable and Heckman two-stage, these results reveal a strong and negative association between blockchain initiatives and firm default risk by model. The authors further empirically demonstrate three underlying economic mechanisms. Specifically, they find that blockchain technology has the potential to enhance trust between firms and stakeholders in the supply chain, optimize business processes, and improve the information disclosure quality, which are beneficial to lower corporate financing cost or improve operation performance.
{"title":"Blockchain Technology and Corporate Default Risk","authors":"Yanyang Sun, Xinyu Zhu, Wenruo Wu, Kai Yang","doi":"10.4018/jgim.331088","DOIUrl":"https://doi.org/10.4018/jgim.331088","url":null,"abstract":"Blockchain technology is a prominent technological innovation and firms increasingly engage in the initiatives. But blockchain technology is still in its early stage and a thorough understanding of its financial values remains elusive. By employing a large sample of public firms listed in China market, this study aims to estimate the impact of blockchain initiatives on firm default risk. Using an instrumental variable and Heckman two-stage, these results reveal a strong and negative association between blockchain initiatives and firm default risk by model. The authors further empirically demonstrate three underlying economic mechanisms. Specifically, they find that blockchain technology has the potential to enhance trust between firms and stakeholders in the supply chain, optimize business processes, and improve the information disclosure quality, which are beneficial to lower corporate financing cost or improve operation performance.","PeriodicalId":46306,"journal":{"name":"Journal of Global Information Management","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135895702","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Blockchain is a promising technology to drive business processes transparency and traceability, providing consensus and agreement between business partners to reduce information asymmetry and uncertainty along business processes. However, it does not assure data quality in blockchain-driven business processes, and poor data reliability can still occur. In this paper, the authors provide a framework of ontology modeling and verification for data reliability assessment in blockchain-driven business processes. The authors offer formal, process-oriented ontology definitions to specify data reliability assessment requirements, based on which smart contracts can be executed to implement the requirements. They provide a preliminary case study to demonstrate the use of the approach to improve the efficiency and effectiveness of data reliability assessment in consortium blockchains. The proposed ontology model can serve as a tool to standardize data formats and control data quality in blockchain-driven business scenarios.
{"title":"Ontology Modeling for Data Reliability Assessment in Consortium Blockchains","authors":"Yani Shi, Dongying Shi, Jiji Ying, Jiaqi Yan","doi":"10.4018/jgim.331248","DOIUrl":"https://doi.org/10.4018/jgim.331248","url":null,"abstract":"Blockchain is a promising technology to drive business processes transparency and traceability, providing consensus and agreement between business partners to reduce information asymmetry and uncertainty along business processes. However, it does not assure data quality in blockchain-driven business processes, and poor data reliability can still occur. In this paper, the authors provide a framework of ontology modeling and verification for data reliability assessment in blockchain-driven business processes. The authors offer formal, process-oriented ontology definitions to specify data reliability assessment requirements, based on which smart contracts can be executed to implement the requirements. They provide a preliminary case study to demonstrate the use of the approach to improve the efficiency and effectiveness of data reliability assessment in consortium blockchains. The proposed ontology model can serve as a tool to standardize data formats and control data quality in blockchain-driven business scenarios.","PeriodicalId":46306,"journal":{"name":"Journal of Global Information Management","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135193312","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Considering the academic and industrial needs, it is necessary to examine the dynamics and effects of science and technology translation, especially the indirect ones. This study proposes a framework for identifying the levels of translation, called translational generation, and measuring their translational effects. An empirical analysis is carried out in the field of blockchain. The results provide evidence supporting the strength of direct translation and the growth of indirect translation. Firstly, the amount of S&T translation has increased and the amount of indirect translation has grown up to almost three times that of direct ones. Secondly, direct translation has better effects than all levels of indirect groups. However, the advantage of direct translation is not stable. It decreases in the translation intensity dimension and increases in the translation speed dimension. These findings have important implications for S&T innovation and source-allocated policy making.
{"title":"Dynamics and Effects of Science Technology Translation","authors":"Jing Shi, Jiajie Wang, Jianjun Sun","doi":"10.4018/jgim.330341","DOIUrl":"https://doi.org/10.4018/jgim.330341","url":null,"abstract":"Considering the academic and industrial needs, it is necessary to examine the dynamics and effects of science and technology translation, especially the indirect ones. This study proposes a framework for identifying the levels of translation, called translational generation, and measuring their translational effects. An empirical analysis is carried out in the field of blockchain. The results provide evidence supporting the strength of direct translation and the growth of indirect translation. Firstly, the amount of S&T translation has increased and the amount of indirect translation has grown up to almost three times that of direct ones. Secondly, direct translation has better effects than all levels of indirect groups. However, the advantage of direct translation is not stable. It decreases in the translation intensity dimension and increases in the translation speed dimension. These findings have important implications for S&T innovation and source-allocated policy making.","PeriodicalId":46306,"journal":{"name":"Journal of Global Information Management","volume":"56 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136130822","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The knowledge management process (KMP) requires continuous enhancement and is closely intertwined with the corresponding organizational business processes (BPs). Despite efforts to improve the integration of KMP and BPs, many knowledge management practices are ineffective due to the organizations' failure to incorporate their KMP with BPs. The lack of a structured approach to automate KMP improvement, driven by BP changes, is a major challenge. This study presents a BP-driven KMP modeling methodology, which has been employed in an aviation manufacturing enterprise's design institute to assist its KMP. The evaluation findings reveal that the approach can effectively facilitate the integration of BPs and KMP, as well as achieve BP-driven automation, ensuring the KMP's dynamic and continuous improvement. By incorporating this approach, organizations can automate their KMP improvement and respond to changes in their BPs more effectively, thereby improving their overall performance and competitiveness.
{"title":"Unleashing Continuous Improvement and Competitive Advantage Through BP-Driven Knowledge Management Processes","authors":"Jun Wang, Yanan Wang, Ou Liu, Woon Kian Chong","doi":"10.4018/jgim.330309","DOIUrl":"https://doi.org/10.4018/jgim.330309","url":null,"abstract":"The knowledge management process (KMP) requires continuous enhancement and is closely intertwined with the corresponding organizational business processes (BPs). Despite efforts to improve the integration of KMP and BPs, many knowledge management practices are ineffective due to the organizations' failure to incorporate their KMP with BPs. The lack of a structured approach to automate KMP improvement, driven by BP changes, is a major challenge. This study presents a BP-driven KMP modeling methodology, which has been employed in an aviation manufacturing enterprise's design institute to assist its KMP. The evaluation findings reveal that the approach can effectively facilitate the integration of BPs and KMP, as well as achieve BP-driven automation, ensuring the KMP's dynamic and continuous improvement. By incorporating this approach, organizations can automate their KMP improvement and respond to changes in their BPs more effectively, thereby improving their overall performance and competitiveness.","PeriodicalId":46306,"journal":{"name":"Journal of Global Information Management","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136130941","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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