Pub Date : 2022-12-08DOI: 10.1080/12460125.2022.2151071
Anastasia Griva, Eleni Zampou, V. Stavrou, Dimitris A. Papakiriakopoulos, G. Doukidis
{"title":"A two-stage business analytics approach to perform behavioural and geographic customer segmentation using e-commerce delivery data","authors":"Anastasia Griva, Eleni Zampou, V. Stavrou, Dimitris A. Papakiriakopoulos, G. Doukidis","doi":"10.1080/12460125.2022.2151071","DOIUrl":"https://doi.org/10.1080/12460125.2022.2151071","url":null,"abstract":"","PeriodicalId":45565,"journal":{"name":"Journal of Decision Systems","volume":" ","pages":""},"PeriodicalIF":3.4,"publicationDate":"2022-12-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43425139","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 : 2022-11-20DOI: 10.1080/12460125.2022.2148864
Z. Ghali
{"title":"Impact of socioeconomic status on customer e-loyalty under the moderating role of perceived self-efficacy","authors":"Z. Ghali","doi":"10.1080/12460125.2022.2148864","DOIUrl":"https://doi.org/10.1080/12460125.2022.2148864","url":null,"abstract":"","PeriodicalId":45565,"journal":{"name":"Journal of Decision Systems","volume":"1 1","pages":""},"PeriodicalIF":3.4,"publicationDate":"2022-11-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41712034","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 : 2022-11-03DOI: 10.1080/12460125.2022.2143618
A. Hamdan, B. Alareeni, R. Hamdan, Mohanad A. Dahlan
{"title":"Incorporation of artificial intelligence, Big Data, and Internet of Things (IoT): an insight into the technological implementations in business success","authors":"A. Hamdan, B. Alareeni, R. Hamdan, Mohanad A. Dahlan","doi":"10.1080/12460125.2022.2143618","DOIUrl":"https://doi.org/10.1080/12460125.2022.2143618","url":null,"abstract":"","PeriodicalId":45565,"journal":{"name":"Journal of Decision Systems","volume":" ","pages":""},"PeriodicalIF":3.4,"publicationDate":"2022-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47981609","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 : 2022-10-28DOI: 10.1080/12460125.2022.2136609
M. Madhukar, Rajaram Patil, Dr. M. Suresh, Dr. Sumathi Kumaraswamy, Dr. Gagan Kukreja
ABSTRACT The article aims to ‘identify,’ ‘analyze’, and ‘categorize’ the factors of business agility in technology IoT projects using Total Interpretative Structural Modelling (TISM). A closed-ended questionnaire along with the scheduled interview was used to collect data. The TISM methodology and the MICMAC method are used to determine how the variables interact and to rank and categorise the business agility factors in technology IoT projects, respectively. The study shows that lean startup culture and ecosystem agility bring an overall agile culture into the established case organisations that are operating in IoT product segments. The study focuses primarily on technology IoT projects. The research will aid key stakeholders and academics in better understand the factors contributing to business agility in Technology IoT projects. This article is a novel attempt at the subject of business agility in IoT projects by using TISM and MICMAC approaches.
{"title":"Business agility in technology internet of things projects","authors":"M. Madhukar, Rajaram Patil, Dr. M. Suresh, Dr. Sumathi Kumaraswamy, Dr. Gagan Kukreja","doi":"10.1080/12460125.2022.2136609","DOIUrl":"https://doi.org/10.1080/12460125.2022.2136609","url":null,"abstract":"ABSTRACT The article aims to ‘identify,’ ‘analyze’, and ‘categorize’ the factors of business agility in technology IoT projects using Total Interpretative Structural Modelling (TISM). A closed-ended questionnaire along with the scheduled interview was used to collect data. The TISM methodology and the MICMAC method are used to determine how the variables interact and to rank and categorise the business agility factors in technology IoT projects, respectively. The study shows that lean startup culture and ecosystem agility bring an overall agile culture into the established case organisations that are operating in IoT product segments. The study focuses primarily on technology IoT projects. The research will aid key stakeholders and academics in better understand the factors contributing to business agility in Technology IoT projects. This article is a novel attempt at the subject of business agility in IoT projects by using TISM and MICMAC approaches.","PeriodicalId":45565,"journal":{"name":"Journal of Decision Systems","volume":"32 1","pages":"466 - 490"},"PeriodicalIF":3.4,"publicationDate":"2022-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44945385","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 : 2022-10-28DOI: 10.1080/12460125.2022.2140908
Wei Li, Dong-hwi Yang, Yuxin Sun
{"title":"Influence mechanism of charitable crowdfunding context on individual donation intention: BASED on the SOR framework","authors":"Wei Li, Dong-hwi Yang, Yuxin Sun","doi":"10.1080/12460125.2022.2140908","DOIUrl":"https://doi.org/10.1080/12460125.2022.2140908","url":null,"abstract":"","PeriodicalId":45565,"journal":{"name":"Journal of Decision Systems","volume":" ","pages":""},"PeriodicalIF":3.4,"publicationDate":"2022-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42816224","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 : 2022-10-12DOI: 10.1080/12460125.2022.2133370
Uttam Chakraborty, S. K. Biswal
ABSTRACT The proliferation of massive open online courses (MOOCs) has sped up the evolution of online education. People now have a habit of checking internet reviews before deciding on and enrolling in an MOOC. However, issues about the veracity of online reviews have grown in significance. The S-O-R framework was used to determine the factors that have an impact on the reliability of reviews of MOOCs. The current study uses dual process theory (DPT) as a theoretical framework for identifying the stimuli. This finding reveals that review consistency and overall rating are more important in influencing the adoption of MOOC than the various informational factors. The findings also highlight that informal online communication (online reviews) is crucial to the adoption of e-learning.
{"title":"Are online reviews credible? The effects of online reviews for the adoption of MOOCs for E-learning","authors":"Uttam Chakraborty, S. K. Biswal","doi":"10.1080/12460125.2022.2133370","DOIUrl":"https://doi.org/10.1080/12460125.2022.2133370","url":null,"abstract":"ABSTRACT The proliferation of massive open online courses (MOOCs) has sped up the evolution of online education. People now have a habit of checking internet reviews before deciding on and enrolling in an MOOC. However, issues about the veracity of online reviews have grown in significance. The S-O-R framework was used to determine the factors that have an impact on the reliability of reviews of MOOCs. The current study uses dual process theory (DPT) as a theoretical framework for identifying the stimuli. This finding reveals that review consistency and overall rating are more important in influencing the adoption of MOOC than the various informational factors. The findings also highlight that informal online communication (online reviews) is crucial to the adoption of e-learning.","PeriodicalId":45565,"journal":{"name":"Journal of Decision Systems","volume":" ","pages":""},"PeriodicalIF":3.4,"publicationDate":"2022-10-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48569042","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 : 2022-10-12DOI: 10.1080/12460125.2022.2133281
Talie Kassamany, Etienne Harb, Roland Baz
Given the broad scope of Ethereum and the wide range of its decentralized applications, this paper investigates its hedging and safe haven capabilities against main fiat currencies, stock and bond indices in the US and Europe, and crude oil and gold markets. We use daily data from January 2016 until February 2021 and apply percentile regressions and crisis event interaction analysis by selecting four worldwide events including US presidential elections, the Brexit referendum, and COVID-19. We reveal that Ethereum does not act as a hedge or a safe haven against fiat currencies, stock and bond indices, and gold. However, it does act as a strong safe haven against crude oil in calm and turbulent periods and against European bonds during market turbulence. The study provides insights to regulators and investors into the potential role of Ethereum in investment decision-making and protecting financial market participants in the US and EU.
{"title":"Hedging and safe haven properties of Ethereum: evidence around crises","authors":"Talie Kassamany, Etienne Harb, Roland Baz","doi":"10.1080/12460125.2022.2133281","DOIUrl":"https://doi.org/10.1080/12460125.2022.2133281","url":null,"abstract":"Given the broad scope of Ethereum and the wide range of its decentralized applications, this paper investigates its hedging and safe haven capabilities against main fiat currencies, stock and bond indices in the US and Europe, and crude oil and gold markets. We use daily data from January 2016 until February 2021 and apply percentile regressions and crisis event interaction analysis by selecting four worldwide events including US presidential elections, the Brexit referendum, and COVID-19. We reveal that Ethereum does not act as a hedge or a safe haven against fiat currencies, stock and bond indices, and gold. However, it does act as a strong safe haven against crude oil in calm and turbulent periods and against European bonds during market turbulence. The study provides insights to regulators and investors into the potential role of Ethereum in investment decision-making and protecting financial market participants in the US and EU.","PeriodicalId":45565,"journal":{"name":"Journal of Decision Systems","volume":" ","pages":""},"PeriodicalIF":3.4,"publicationDate":"2022-10-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47788819","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 : 2022-10-10DOI: 10.1080/12460125.2022.2133826
R. Szántó, S. Bozóki
We are very pleased to present the collection of the papers of the 2022 Open Conference of the IFIP WG 8.3 Decision Support in this volume. The IFIP WG 8.3 conferences are organised bi-annually, and in 2022 we were able to organise the event again with a physical presence. The face-to-face talks were supplemented with online presentations, so we created a hybrid conference environment that could also be used for the future, which simultaneously ensured the possibility of personal discussions, debates, and social programmes, and online events for those who due to some reasons could not be present in person. This year, the conference was hosted by the Corvinus University of Budapest. At the University, research dealing with decision-making and decision support systems is carried out at various institutes and departments. The teaching and research activities of the Institute of Operations and Decision Sciences are diverse, they include trends and approaches discussing the preparation, support, understanding and shaping of decision-making, problem-solving processes – at individual, group, organisational, community and social level – encouraging participation, responsibility, and involvement. Our goal is to promote the development of decisionmaking practice primarily through the preparation of future decision-makers. This year’s conference entitled ‘Decision Support Systems: From Data Analytics to Intuition’ is set to highlight the trends in the increasing abundance of data, technological advancements, and the resulting requirement for a strong research focus on the decision-making continuum from human-centric decision-making approaches to analytics based decision-making approaches. Our focus is on how DSS expertise can support decision problems that arise across a diverse range of sectors including financial services, healthcare, manufacturing, hospitality, media, and many others. This supplemental issue includes the paper of Máté Farkas-Kis on Decision making in the shadow of mathematical education which received the Daniel J. Power Award for the best innovative DSS paper of the IFIP WG 8.3 Conference. We would like to express our warm thanks to the members of the Scientific Programme Committee.
我们非常高兴地在本卷中介绍2022年IFIP WG 8.3决策支持公开会议的论文集。IFIP WG 8.3会议每两年组织一次，在2022年，我们能够再次组织实际存在的活动。面对面的会谈辅以在线演示，因此我们创造了一个混合的会议环境，也可以用于未来，同时确保了个人讨论，辩论和社交节目的可能性，以及由于某些原因无法亲自出席的在线活动。今年的会议由布达佩斯科维努斯大学主办。在香港大学，有关决策和决策支持系统的研究在不同的研究所和学系进行。运营与决策科学研究所的教学和研究活动是多种多样的，它们包括趋势和方法，讨论准备，支持，理解和塑造决策，解决问题的过程-在个人，团体，组织，社区和社会层面-鼓励参与，责任和参与。我们的目标是主要通过培养未来的决策者来促进决策实践的发展。今年的会议题为“决策支持系统:从数据分析到直觉”，旨在强调数据日益丰富、技术进步的趋势，以及由此产生的对从以人为中心的决策方法到基于分析的决策方法的决策连续体的强烈研究需求。我们的重点是DSS专业知识如何支持各种行业出现的决策问题，包括金融服务、医疗保健、制造业、酒店、媒体和许多其他行业。本期增刊包括Máté Farkas-Kis关于数学教育阴影下的决策的论文，该论文获得了IFIP WG 8.3会议最佳创新DSS论文Daniel J. Power奖。我们要向科学计划委员会的成员表示热烈的感谢。
{"title":"Editorial – Proceedings of the 2022 Open Conference of the IFIP WG 8.3 Decision Support","authors":"R. Szántó, S. Bozóki","doi":"10.1080/12460125.2022.2133826","DOIUrl":"https://doi.org/10.1080/12460125.2022.2133826","url":null,"abstract":"We are very pleased to present the collection of the papers of the 2022 Open Conference of the IFIP WG 8.3 Decision Support in this volume. The IFIP WG 8.3 conferences are organised bi-annually, and in 2022 we were able to organise the event again with a physical presence. The face-to-face talks were supplemented with online presentations, so we created a hybrid conference environment that could also be used for the future, which simultaneously ensured the possibility of personal discussions, debates, and social programmes, and online events for those who due to some reasons could not be present in person. This year, the conference was hosted by the Corvinus University of Budapest. At the University, research dealing with decision-making and decision support systems is carried out at various institutes and departments. The teaching and research activities of the Institute of Operations and Decision Sciences are diverse, they include trends and approaches discussing the preparation, support, understanding and shaping of decision-making, problem-solving processes – at individual, group, organisational, community and social level – encouraging participation, responsibility, and involvement. Our goal is to promote the development of decisionmaking practice primarily through the preparation of future decision-makers. This year’s conference entitled ‘Decision Support Systems: From Data Analytics to Intuition’ is set to highlight the trends in the increasing abundance of data, technological advancements, and the resulting requirement for a strong research focus on the decision-making continuum from human-centric decision-making approaches to analytics based decision-making approaches. Our focus is on how DSS expertise can support decision problems that arise across a diverse range of sectors including financial services, healthcare, manufacturing, hospitality, media, and many others. This supplemental issue includes the paper of Máté Farkas-Kis on Decision making in the shadow of mathematical education which received the Daniel J. Power Award for the best innovative DSS paper of the IFIP WG 8.3 Conference. We would like to express our warm thanks to the members of the Scientific Programme Committee.","PeriodicalId":45565,"journal":{"name":"Journal of Decision Systems","volume":"31 1","pages":"1 - 3"},"PeriodicalIF":3.4,"publicationDate":"2022-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44281069","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}
ABSTRACT Given Malaysia's stance on cryptocurrencies as a digitalisation pioneer, as well as the surge in crime and fraud, regulators and organisations are concerned about retail investors' intentions to invest in cryptocurrency. The research model integrates diffusion of innovation theory factors (compatibility, relative advantage, trialability, ease of use, and observability) with consumer behaviour theory focused on retail investors' perceptions (perceived risk and perceived value). A total of 304 responses were collected through purposive and respondent-driven sampling. The data was examined using SmartPLS Structural Equation Modelling (PLS-SEM). The findings show that compatibility, trialability, ease of use, observability, and perceived value have significant influences on the intention to invest in cryptocurrency. Meanwhile, the influence of relative advantage and perceived risk on the intention to invest in cryptocurrency is not supported. This research is vital for analysing the underlying motivations of Malaysian retail investors to invest in cryptocurrencies and further formulating the regulatory framework.
{"title":"Investment in cryptocurrencies: a study of its adoption among Malaysian investors","authors":"Shangeetha Sukumaran, Thai Siew Bee, Shaista Wasiuzzaman","doi":"10.1080/12460125.2022.2123086","DOIUrl":"https://doi.org/10.1080/12460125.2022.2123086","url":null,"abstract":"ABSTRACT Given Malaysia's stance on cryptocurrencies as a digitalisation pioneer, as well as the surge in crime and fraud, regulators and organisations are concerned about retail investors' intentions to invest in cryptocurrency. The research model integrates diffusion of innovation theory factors (compatibility, relative advantage, trialability, ease of use, and observability) with consumer behaviour theory focused on retail investors' perceptions (perceived risk and perceived value). A total of 304 responses were collected through purposive and respondent-driven sampling. The data was examined using SmartPLS Structural Equation Modelling (PLS-SEM). The findings show that compatibility, trialability, ease of use, observability, and perceived value have significant influences on the intention to invest in cryptocurrency. Meanwhile, the influence of relative advantage and perceived risk on the intention to invest in cryptocurrency is not supported. This research is vital for analysing the underlying motivations of Malaysian retail investors to invest in cryptocurrencies and further formulating the regulatory framework.","PeriodicalId":45565,"journal":{"name":"Journal of Decision Systems","volume":" ","pages":""},"PeriodicalIF":3.4,"publicationDate":"2022-09-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43521726","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 : 2022-09-12DOI: 10.1080/12460125.2022.2122218
Anastasia Griva, Denis Dennehy, I. Pappas, Matti Mäntymäki, N. Pouloudi, Yogesh K. Dwivedi, Bill Schmarzo
ABSTRACT Artificial Intelligence and Analytics (AI&A) are used in various application areas ranging from online entertainment to healthcare. The goal of this Special Issue is to focus on how AI&A are used in practice to assist organisations to create economic value, support decision making, transforming them, and enhance employees’ skills such as communication, innovation, and decision-making. To derive actionable insights on the application of AI&A in practice, the five articles selected for this Special Issue feature both rigorous academic research and reflections and actionable lessons for professionals. This editorial contains a brief overview of the articles included in this special issue.
{"title":"Artificial intelligence and analytics in practice","authors":"Anastasia Griva, Denis Dennehy, I. Pappas, Matti Mäntymäki, N. Pouloudi, Yogesh K. Dwivedi, Bill Schmarzo","doi":"10.1080/12460125.2022.2122218","DOIUrl":"https://doi.org/10.1080/12460125.2022.2122218","url":null,"abstract":"ABSTRACT Artificial Intelligence and Analytics (AI&A) are used in various application areas ranging from online entertainment to healthcare. The goal of this Special Issue is to focus on how AI&A are used in practice to assist organisations to create economic value, support decision making, transforming them, and enhance employees’ skills such as communication, innovation, and decision-making. To derive actionable insights on the application of AI&A in practice, the five articles selected for this Special Issue feature both rigorous academic research and reflections and actionable lessons for professionals. This editorial contains a brief overview of the articles included in this special issue.","PeriodicalId":45565,"journal":{"name":"Journal of Decision Systems","volume":" ","pages":""},"PeriodicalIF":3.4,"publicationDate":"2022-09-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49622895","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}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：