Pub Date : 2024-04-01DOI: 10.1080/12460125.2024.2336272
Richard Harris, Deirdre Murray, Frederic Adam
{"title":"Risk-Benefit of Connected Health-Led Digital Transformation: A Case Study in Child and Adolescent Mental Health Service Clinical Decision-Making Support","authors":"Richard Harris, Deirdre Murray, Frederic Adam","doi":"10.1080/12460125.2024.2336272","DOIUrl":"https://doi.org/10.1080/12460125.2024.2336272","url":null,"abstract":"","PeriodicalId":45565,"journal":{"name":"Journal of Decision Systems","volume":null,"pages":null},"PeriodicalIF":3.4,"publicationDate":"2024-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140766446","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-03-20DOI: 10.1080/12460125.2024.2331639
Md Sohail, Srikant Gupta
{"title":"Analysing challenges for Information and Research Literacy skills using an integrated approach of Delphi and Best-worst method","authors":"Md Sohail, Srikant Gupta","doi":"10.1080/12460125.2024.2331639","DOIUrl":"https://doi.org/10.1080/12460125.2024.2331639","url":null,"abstract":"","PeriodicalId":45565,"journal":{"name":"Journal of Decision Systems","volume":null,"pages":null},"PeriodicalIF":3.4,"publicationDate":"2024-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140227129","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-02-28DOI: 10.1080/12460125.2024.2321414
Akilimali Ndatabaye Ephrem, M. Murimbika
{"title":"When do entrepreneurs and employees consider reversing career choices to manage regrets?","authors":"Akilimali Ndatabaye Ephrem, M. Murimbika","doi":"10.1080/12460125.2024.2321414","DOIUrl":"https://doi.org/10.1080/12460125.2024.2321414","url":null,"abstract":"","PeriodicalId":45565,"journal":{"name":"Journal of Decision Systems","volume":null,"pages":null},"PeriodicalIF":3.4,"publicationDate":"2024-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140417783","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-02-15DOI: 10.1080/12460125.2024.2318527
Syed Alam, Siti Abdullah, Husam Kokash, Saif Ahmed, Nor Omar
{"title":"Consumer’s acceptance of retail service robots: mediating role of pleasure and arousal","authors":"Syed Alam, Siti Abdullah, Husam Kokash, Saif Ahmed, Nor Omar","doi":"10.1080/12460125.2024.2318527","DOIUrl":"https://doi.org/10.1080/12460125.2024.2318527","url":null,"abstract":"","PeriodicalId":45565,"journal":{"name":"Journal of Decision Systems","volume":null,"pages":null},"PeriodicalIF":3.4,"publicationDate":"2024-02-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139962774","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-01-23DOI: 10.1080/12460125.2023.2197705
Y. Song, Xia Zhao, Richard T. Watson
{"title":"Digitised knowledge-based literature reviewing: a tutorial on coding causal and process models as graphs","authors":"Y. Song, Xia Zhao, Richard T. Watson","doi":"10.1080/12460125.2023.2197705","DOIUrl":"https://doi.org/10.1080/12460125.2023.2197705","url":null,"abstract":"","PeriodicalId":45565,"journal":{"name":"Journal of Decision Systems","volume":null,"pages":null},"PeriodicalIF":3.4,"publicationDate":"2024-01-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139603386","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-01-08DOI: 10.1080/12460125.2023.2298617
V. Seymour, M. Xenitidou, L. Timotijevic, C. E. Hodgkins, E. Ratcliffe, B. Gatersleben, N. Gilbert, C. R. Jones
{"title":"Public acceptance of smart home technologies in the UK: a citizens’ jury study","authors":"V. Seymour, M. Xenitidou, L. Timotijevic, C. E. Hodgkins, E. Ratcliffe, B. Gatersleben, N. Gilbert, C. R. Jones","doi":"10.1080/12460125.2023.2298617","DOIUrl":"https://doi.org/10.1080/12460125.2023.2298617","url":null,"abstract":"","PeriodicalId":45565,"journal":{"name":"Journal of Decision Systems","volume":null,"pages":null},"PeriodicalIF":3.4,"publicationDate":"2024-01-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139445346","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-12-26DOI: 10.1080/12460125.2023.2294398
Amit Sood, Amit Kumar Bhardwaj, Rajendra Kumar Sharma
{"title":"Perceptions of facilitators towards adoption of AI-based solutions for sustainable agriculture","authors":"Amit Sood, Amit Kumar Bhardwaj, Rajendra Kumar Sharma","doi":"10.1080/12460125.2023.2294398","DOIUrl":"https://doi.org/10.1080/12460125.2023.2294398","url":null,"abstract":"","PeriodicalId":45565,"journal":{"name":"Journal of Decision Systems","volume":null,"pages":null},"PeriodicalIF":3.4,"publicationDate":"2023-12-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139155413","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-11-22DOI: 10.1080/12460125.2023.2246251
Thanachart Ritbumroong
{"title":"I am therefore, I do: a fit perspective of decision-making styles and business intelligence usage","authors":"Thanachart Ritbumroong","doi":"10.1080/12460125.2023.2246251","DOIUrl":"https://doi.org/10.1080/12460125.2023.2246251","url":null,"abstract":"","PeriodicalId":45565,"journal":{"name":"Journal of Decision Systems","volume":null,"pages":null},"PeriodicalIF":3.4,"publicationDate":"2023-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139250275","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-10-10DOI: 10.1080/12460125.2023.2263687
Femi Olan, Richard B. Nyuur, Emmanuel Ogiemwonyi Arakpogun, Ziad Elsahn
The utilisation of artificial intelligence (AI) is progressively emerging as a significant mechanism for innovation in human resource management (HRM). The capacity to facilitate the transformation of employee performance across numerous responsibilities. AI development, there remains a dearth of comprehensive exploration into the potential opportunities it presents for enhancing workplace performance among employees. To bridge this gap in knowledge, the present work carried out a survey with 300 participants, utilises a fuzzy set-theoretic method that is grounded on the conceptualisation of AI, KS, and HRM. The findings of our study indicate that the exclusive adoption of AI technologies does not adequately enhance HRM engagements. In contrast, the integration of AI and KS offers a more viable HRM approach for achieving optimal performance in a dynamic digital society. This approach has the potential to enhance employees’ proficiency in executing their responsibilities and cultivate a culture of creativity inside the firm.
{"title":"AI: A knowledge sharing tool for improving employees’ performance","authors":"Femi Olan, Richard B. Nyuur, Emmanuel Ogiemwonyi Arakpogun, Ziad Elsahn","doi":"10.1080/12460125.2023.2263687","DOIUrl":"https://doi.org/10.1080/12460125.2023.2263687","url":null,"abstract":"The utilisation of artificial intelligence (AI) is progressively emerging as a significant mechanism for innovation in human resource management (HRM). The capacity to facilitate the transformation of employee performance across numerous responsibilities. AI development, there remains a dearth of comprehensive exploration into the potential opportunities it presents for enhancing workplace performance among employees. To bridge this gap in knowledge, the present work carried out a survey with 300 participants, utilises a fuzzy set-theoretic method that is grounded on the conceptualisation of AI, KS, and HRM. The findings of our study indicate that the exclusive adoption of AI technologies does not adequately enhance HRM engagements. In contrast, the integration of AI and KS offers a more viable HRM approach for achieving optimal performance in a dynamic digital society. This approach has the potential to enhance employees’ proficiency in executing their responsibilities and cultivate a culture of creativity inside the firm.","PeriodicalId":45565,"journal":{"name":"Journal of Decision Systems","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136358849","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-10-06DOI: 10.1080/12460125.2023.2263676
Vimlesh Kumar Ojha, Sanjeev Goyal, Mahesh Chand
ABSTRACTData-driven decision making (DDDM) in advanced manufacturing systems (AMS) is the use of data to make smart decisions that improve manufacturing operations. Companies can make themselves more competitive, cut costs, and improve their production by using data analytics. The investigation of critical success factors aids companies in identifying vital areas that demand attention for the implementation of DDDM in AMS. This comprehension enables companies to devise effective strategies for the successful adoption of DDDM within AMS. In this research, twelve critical success factors that affect the use of DDDM in AMS were discovered and statistically analysed using an integrated methodology of ISM, MICMAC, and DEMATEL to create a hierarchical model. This research paper suggests that companies should focus on developing a skilled workforce and creating a data-driven culture to successfully adopt DDDM in AMS. Additionally, the findings highlight the importance of top management support and government initiatives in promoting the adoption of DDDM in manufacturing.KEYWORDS: Advanced manufacturing Systemscritical success factors (CSFs)DDDMadoptionbig data (BD)ISM-DEMATEL Article highlight Produces a roadmap for the implementation of DDDM in AMS.Exploring the key drivers that enable the effective implementation of DDDM in AMS through the identification of critical success factors (CSFs).Analysing the CSFs and modelling them on the basis of their prominence using an integrated ISM-MICMAC-DEMATEL methodology.Abbreviations DDDM=Data-driven decision makingAMS=Advanced Manufacturing SystemsCSFs=Critical Success FactorsBDA=Big data analyticsDT=Digital transformationLR=Literature reviewIoT=Internet of ThingsCPS=Cyber-physical systemsSME=Small & medium-sized4IR=Fourth industrial revolution or Industry 4.0SM=Smart ManufacturingISM=Interpretive structural modellingAcknowledgmentsIndustry professionals from India’s manufacturing sector were a huge help to the authors in identifying and comparing factors and validating findings, and the authors are grateful for their assistance.Disclosure statementIt should be noted that the research discussed in this publication was not influenced by any financial or personal conflicts of interest of the authors.Data availability statementAll data generated or analysed during this research are included in this article.
{"title":"Data-driven decision making in advanced manufacturing Systems: modeling and analysis of critical success factors","authors":"Vimlesh Kumar Ojha, Sanjeev Goyal, Mahesh Chand","doi":"10.1080/12460125.2023.2263676","DOIUrl":"https://doi.org/10.1080/12460125.2023.2263676","url":null,"abstract":"ABSTRACTData-driven decision making (DDDM) in advanced manufacturing systems (AMS) is the use of data to make smart decisions that improve manufacturing operations. Companies can make themselves more competitive, cut costs, and improve their production by using data analytics. The investigation of critical success factors aids companies in identifying vital areas that demand attention for the implementation of DDDM in AMS. This comprehension enables companies to devise effective strategies for the successful adoption of DDDM within AMS. In this research, twelve critical success factors that affect the use of DDDM in AMS were discovered and statistically analysed using an integrated methodology of ISM, MICMAC, and DEMATEL to create a hierarchical model. This research paper suggests that companies should focus on developing a skilled workforce and creating a data-driven culture to successfully adopt DDDM in AMS. Additionally, the findings highlight the importance of top management support and government initiatives in promoting the adoption of DDDM in manufacturing.KEYWORDS: Advanced manufacturing Systemscritical success factors (CSFs)DDDMadoptionbig data (BD)ISM-DEMATEL Article highlight Produces a roadmap for the implementation of DDDM in AMS.Exploring the key drivers that enable the effective implementation of DDDM in AMS through the identification of critical success factors (CSFs).Analysing the CSFs and modelling them on the basis of their prominence using an integrated ISM-MICMAC-DEMATEL methodology.Abbreviations DDDM=Data-driven decision makingAMS=Advanced Manufacturing SystemsCSFs=Critical Success FactorsBDA=Big data analyticsDT=Digital transformationLR=Literature reviewIoT=Internet of ThingsCPS=Cyber-physical systemsSME=Small & medium-sized4IR=Fourth industrial revolution or Industry 4.0SM=Smart ManufacturingISM=Interpretive structural modellingAcknowledgmentsIndustry professionals from India’s manufacturing sector were a huge help to the authors in identifying and comparing factors and validating findings, and the authors are grateful for their assistance.Disclosure statementIt should be noted that the research discussed in this publication was not influenced by any financial or personal conflicts of interest of the authors.Data availability statementAll data generated or analysed during this research are included in this article.","PeriodicalId":45565,"journal":{"name":"Journal of Decision Systems","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-10-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135351391","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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