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Journal of Decision Systems最新文献

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Artificial intelligence and analytics in practice 实践中的人工智能和分析
IF 3.4
Journal of Decision Systems Pub Date : 2022-09-12 DOI: 10.1080/12460125.2022.2122218
Anastasia Griva, Denis Dennehy, I. Pappas, Matti Mäntymäki, N. Pouloudi, Yogesh K. Dwivedi, Bill Schmarzo
{"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}
引用次数: 3
User-centric explainable AI: design and evaluation of an approach to generate coherent counterfactual explanations for structured data 以用户为中心的可解释人工智能:设计和评估一种方法，为结构化数据生成连贯的反事实解释
IF 3.4
Journal of Decision Systems Pub Date : 2022-09-06 DOI: 10.1080/12460125.2022.2119707
Maximilian Förster, Philipp Hühn, Mathias Klier, Kilian Kluge
{"title":"User-centric explainable AI: design and evaluation of an approach to generate coherent counterfactual explanations for structured data","authors":"Maximilian Förster, Philipp Hühn, Mathias Klier, Kilian Kluge","doi":"10.1080/12460125.2022.2119707","DOIUrl":"https://doi.org/10.1080/12460125.2022.2119707","url":null,"abstract":"ABSTRACT Many Artificial Intelligence (AI) systems are black boxes, which hinders their deployment. Explainable AI (XAI) approaches which automatically generate counterfactual explanations aim to assist users in scrutinising AI decisions. One property of explanations crucial for their acceptance by users is their coherence. Users perceive counterfactual explanations as coherent if they present a realistic/typical counterfactual scenario that is suitable to explain the factual situation. We design an optimisation-based approach to generate coherent counterfactual explanations applicable to structured data. We demonstrate its applicability and rigorously evaluate its efficacy through functionally grounded and human-grounded evaluation. Results suggest that our approach indeed produces counterfactual explanations that are perceived as coherent by users. More specifically, they are perceived as more realistic, typical, and feasible than state-of-the-art explanations.","PeriodicalId":45565,"journal":{"name":"Journal of Decision Systems","volume":" ","pages":""},"PeriodicalIF":3.4,"publicationDate":"2022-09-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47476670","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}
引用次数: 2
Study of determinants of online purchasing behaviour: experience of Saudi women regarding luxury beauty products on social media 网上购买行为的决定因素研究：沙特女性在社交媒体上购买奢侈美容产品的经历
IF 3.4
Journal of Decision Systems Pub Date : 2022-08-18 DOI: 10.1080/12460125.2022.2104625
Slim Hadoussa, Amina Amari, Fakher Jaoua
{"title":"Study of determinants of online purchasing behaviour: experience of Saudi women regarding luxury beauty products on social media","authors":"Slim Hadoussa, Amina Amari, Fakher Jaoua","doi":"10.1080/12460125.2022.2104625","DOIUrl":"https://doi.org/10.1080/12460125.2022.2104625","url":null,"abstract":"ABSTRACT This study aims to investigate the effect of social media features and national culture on online purchasing behaviour of luxury beauty products. The objective of this research is to explore the impacts of the social media’ dimensions (connectedness, openness, speed, accessibility, and participation) and national culture (measured through collectivism and uncertainty avoidance) on online purchasing behaviour. A research model was proposed and empirically tested through a quantitative methodology. A total of 280 responses were collected from Saudi women who are purchasers of luxury beauty products. The data were analysed through PLS-SEM method. The findings indicate that social media through their different dimensions is a crucial driver of online purchasing behaviour of luxury beauty products. However, national culture was found to have no influence on customer purchasing behaviour. The findings provide useful insights and appropriate online purchase behaviour guidelines for social commerce practitioners regarding luxury beauty products to increase visibility on the e-marketplace.","PeriodicalId":45565,"journal":{"name":"Journal of Decision Systems","volume":"32 1","pages":"513 - 534"},"PeriodicalIF":3.4,"publicationDate":"2022-08-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41823583","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}
引用次数: 1
The role of FinTech for manufacturing efficiency and financial performance: in the era of industry 4.0 金融科技对制造业效率和财务绩效的作用:在工业4.0时代
IF 3.4
Journal of Decision Systems Pub Date : 2022-06-30 DOI: 10.1080/12460125.2022.2094527
M. Dhiaf, N. Khakan, Osama F. Atayah, Hazem Marashdeh, R. El Khoury
{"title":"The role of FinTech for manufacturing efficiency and financial performance: in the era of industry 4.0","authors":"M. Dhiaf, N. Khakan, Osama F. Atayah, Hazem Marashdeh, R. El Khoury","doi":"10.1080/12460125.2022.2094527","DOIUrl":"https://doi.org/10.1080/12460125.2022.2094527","url":null,"abstract":"","PeriodicalId":45565,"journal":{"name":"Journal of Decision Systems","volume":" ","pages":""},"PeriodicalIF":3.4,"publicationDate":"2022-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46370244","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}
引用次数: 8
Did the intensity of countries’ digital transformation affect IT companies’ performance during covid-19? 在2019冠状病毒病期间，各国数字化转型的力度是否影响了IT公司的业绩?
IF 3.4
Journal of Decision Systems Pub Date : 2022-06-30 DOI: 10.1080/12460125.2022.2094528
R. El Khoury, N. Nasrallah, Etienne G. Harb
{"title":"Did the intensity of countries’ digital transformation affect IT companies’ performance during covid-19?","authors":"R. El Khoury, N. Nasrallah, Etienne G. Harb","doi":"10.1080/12460125.2022.2094528","DOIUrl":"https://doi.org/10.1080/12460125.2022.2094528","url":null,"abstract":"This study explores the impact of the intensity of countries' digital transformation on the performance of 3961 global companies in the Information Technology sector in 2020. We analyse the impact of e-government index, e-participation index, and cybersecurity commitment on firms' performance (enterprise value, book value per share, and cash flow from operation per share) using OLS regression. A structural equation modelling was further employed to explain the mediating role of cybersecurity commitment. Results suggest that e-government has a positive linkage with cybersecurity commitment and performance. However, there is preliminary evidence that cybersecurity measures initiated by e-government will drive performance. The e-participation index has a positive association with cybersecurity commitment and a heterogeneous impact on performance, suggesting the need to differentiate between development and participation. Finally, results highlight the pivotal role of e-government and cybersecurity commitment in boosting the profitability of companies and supporting the influence of the surrounding technological environment on companies' performance.","PeriodicalId":45565,"journal":{"name":"Journal of Decision Systems","volume":" ","pages":""},"PeriodicalIF":3.4,"publicationDate":"2022-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44220631","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}
引用次数: 5
Factors influencing business intelligence adoption: evidence from Jordan 影响商业智能采用的因素:来自Jordan的证据
IF 3.4
Journal of Decision Systems Pub Date : 2022-06-27 DOI: 10.1080/12460125.2022.2094531
Zaid Jaradat, A. Al-Dmour, Hashem Alshurafat, Huthaifa Al-Hazaima, Mohannad Obeid Al Shbail
{"title":"Factors influencing business intelligence adoption: evidence from Jordan","authors":"Zaid Jaradat, A. Al-Dmour, Hashem Alshurafat, Huthaifa Al-Hazaima, Mohannad Obeid Al Shbail","doi":"10.1080/12460125.2022.2094531","DOIUrl":"https://doi.org/10.1080/12460125.2022.2094531","url":null,"abstract":"","PeriodicalId":45565,"journal":{"name":"Journal of Decision Systems","volume":" ","pages":""},"PeriodicalIF":3.4,"publicationDate":"2022-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44892378","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}
引用次数: 27
A novel hierarchical fuzzy inference system for supplier selection and performance improvement in the oil & gas industry 一种用于油气行业供应商选择和性能改进的新型层次模糊推理系统
IF 3.4
Journal of Decision Systems Pub Date : 2022-06-24 DOI: 10.1080/12460125.2022.2090065
A. Sarfaraz, Amir Karbassi Yazdi, P. Wanke, Elaheh Ashtari Nezhad, Raheleh Sadat Hosseini
{"title":"A novel hierarchical fuzzy inference system for supplier selection and performance improvement in the oil & gas industry","authors":"A. Sarfaraz, Amir Karbassi Yazdi, P. Wanke, Elaheh Ashtari Nezhad, Raheleh Sadat Hosseini","doi":"10.1080/12460125.2022.2090065","DOIUrl":"https://doi.org/10.1080/12460125.2022.2090065","url":null,"abstract":"ABSTRACT Evaluation of suppliers is essential to increasing competitive power, customer satisfaction, and profitability. Oil and gas companies can use this research to evaluate suppliers and map the potential path forward for future collaborations. Six supply chain managers in Iran designed HFIS for the oil and gas industry. Shannon Entropy was used to determine the relative weights of suppliers concerning overall uncertainty because the Oil and Gas industry uses many unstructured Key Performance Indicators (KPIs). Using Matlab Toolbox FIS, a future cooperation roadmap was developed. Experts suggested future collaboration with certain suppliers based on the HFIS results. The future cooperation strategy proposed by the framework is highly in line with their expectations. FIS results indicate that the proposed can help select the most appropriate suppliers for cooperation while providing a roadmap for weaker suppliers to improve their performance.","PeriodicalId":45565,"journal":{"name":"Journal of Decision Systems","volume":"32 1","pages":"356 - 383"},"PeriodicalIF":3.4,"publicationDate":"2022-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43484593","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}
引用次数: 4
Decision support using AI: the data exploitation at telecoms in practice 基于人工智能的决策支持:电信行业的数据开发实践
IF 3.4
Journal of Decision Systems Pub Date : 2022-06-22 DOI: 10.1080/12460125.2022.2078554
C. Gizelis, K. Nestorakis, A. Misargopoulos, F. Nikolopoulos-Gkamatsis, M. Kefalogiannis, P. Palaiogeorgou, A. M. Christonasis, K. Boletis, T. Giamalis, C. Charisis
{"title":"Decision support using AI: the data exploitation at telecoms in practice","authors":"C. Gizelis, K. Nestorakis, A. Misargopoulos, F. Nikolopoulos-Gkamatsis, M. Kefalogiannis, P. Palaiogeorgou, A. M. Christonasis, K. Boletis, T. Giamalis, C. Charisis","doi":"10.1080/12460125.2022.2078554","DOIUrl":"https://doi.org/10.1080/12460125.2022.2078554","url":null,"abstract":"ABSTRACT AI is a technological advancement used nowadays extensively by telecoms to take decisions based on the vast amounts of data they own and to optimise their daily operations. Hence, a question being raised amongst experts in this industry is how AI can be applicable in the various functions of telecoms. This paper showcases how the telecommunication industry could adopt Artificial Intelligence mechanisms into daily tasks and operations, in order to better utilise available data and accelerate digital transformation. The scope of this paper is to analyse and explore the opportunities and the challenges that have risen in telecommunications organisations, but more precisely, describes experiences from the IT Innovation Center of OTE Group that investigates and validates AI-related technologies in real business scenarios, aiming to boost and even further the organisation’s digital transformation and engagement in future markets. However, as depicted in this paper, although the numerous opportunities, telecoms face many obstacles which they try to overcome in this AI journey.","PeriodicalId":45565,"journal":{"name":"Journal of Decision Systems","volume":" ","pages":""},"PeriodicalIF":3.4,"publicationDate":"2022-06-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43793503","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}
引用次数: 4
The adoption of technology management principles and artificial intelligence for a sustainable lean construction industry in the case of Bahrain 以巴林为例，采用技术管理原则和人工智能实现可持续的精益建筑业
IF 3.4
Journal of Decision Systems Pub Date : 2022-06-16 DOI: 10.1080/12460125.2022.2075529
Aysha Aljawder, W. Al-Karaghouli
{"title":"The adoption of technology management principles and artificial intelligence for a sustainable lean construction industry in the case of Bahrain","authors":"Aysha Aljawder, W. Al-Karaghouli","doi":"10.1080/12460125.2022.2075529","DOIUrl":"https://doi.org/10.1080/12460125.2022.2075529","url":null,"abstract":"","PeriodicalId":45565,"journal":{"name":"Journal of Decision Systems","volume":" ","pages":""},"PeriodicalIF":3.4,"publicationDate":"2022-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48132665","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}
引用次数: 8
The impacts of artificial intelligence on managerial skills 人工智能对管理技能的影响
IF 3.4
Journal of Decision Systems Pub Date : 2022-06-13 DOI: 10.1080/12460125.2022.2069537
L. Giraud, A. Zaher, Selena Hernandez, Al Ariss Akram
{"title":"The impacts of artificial intelligence on managerial skills","authors":"L. Giraud, A. Zaher, Selena Hernandez, Al Ariss Akram","doi":"10.1080/12460125.2022.2069537","DOIUrl":"https://doi.org/10.1080/12460125.2022.2069537","url":null,"abstract":"ABSTRACT Artificial Intelligence (AI) in organisations may change ways of working and disrupt occupations, including managerial ones. Yet, the literature lacks information about how managerial skills will be affected by the implementation of AI within organisations. To investigate this topic, a thematic content analysis was performed on data collected from qualitative and semi-structured interviews with 40 AI experts. These first results were then confirmed through descriptive statistics performed on data collected from 103 other AI experts who also ranked the managerial skills to be developed in order of priority. Our final results show that most managerial skills are likely to be augmented by AI, while only a few of them may be replaced (information gathering and simple decision-making) or remain unaffected (leadership and imagination). Our study updates existing technical and non-technical taxonomies of managerial skills needed to keep pace with AI. It also contributes to the development of the AI-Human Resource Management interface.","PeriodicalId":45565,"journal":{"name":"Journal of Decision Systems","volume":" ","pages":""},"PeriodicalIF":3.4,"publicationDate":"2022-06-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48139002","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}
引用次数: 2
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