Pub Date : 2022-09-06DOI: 10.1080/12460125.2022.2119707
Maximilian Förster, Philipp Hühn, Mathias Klier, Kilian Kluge
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.
{"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}
Pub Date : 2022-08-18DOI: 10.1080/12460125.2022.2104625
Slim Hadoussa, Amina Amari, Fakher Jaoua
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.
{"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}
Pub Date : 2022-06-30DOI: 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}
Pub Date : 2022-06-30DOI: 10.1080/12460125.2022.2094528
R. El Khoury, N. Nasrallah, Etienne G. Harb
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.
{"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}
Pub Date : 2022-06-27DOI: 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}
Pub Date : 2022-06-24DOI: 10.1080/12460125.2022.2090065
A. Sarfaraz, Amir Karbassi Yazdi, P. Wanke, Elaheh Ashtari Nezhad, Raheleh Sadat Hosseini
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.
{"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}
Pub Date : 2022-06-22DOI: 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
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.
{"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}
Pub Date : 2022-06-16DOI: 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}
Pub Date : 2022-06-13DOI: 10.1080/12460125.2022.2069537
L. Giraud, A. Zaher, Selena Hernandez, Al Ariss Akram
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.
{"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}
Pub Date : 2022-06-13DOI: 10.1080/12460125.2022.2087417
Máté Farkas-Kis
ABSTRACT There are several tools available to support management decisions. A significant proportion of them use quantified data to measure economic performance. To interpret these data, we need mathematical competencies, which we acquire during our studies, yet it is accompanied by a number of failures. Many people stick to the explanations of ‘I don’t have a math brain’ and don’t think deeper into the reason for the failure. What is happening, why is our relationship with mathematics changing after the first contact in early ages? This research used statistical analysis based on the data of an online questionnaire to identify the factors behind the mathematical performance. Based on the results presented, the initial relationship is strong and successful. Later, this relationship deteriorates, and the process can be closely correlated with the educational successes achieved. The analysis of the pattern, this has been the same for generations, it can be stated that it is inherited.
{"title":"Decision making in the shadow of mathematical education","authors":"Máté Farkas-Kis","doi":"10.1080/12460125.2022.2087417","DOIUrl":"https://doi.org/10.1080/12460125.2022.2087417","url":null,"abstract":"ABSTRACT There are several tools available to support management decisions. A significant proportion of them use quantified data to measure economic performance. To interpret these data, we need mathematical competencies, which we acquire during our studies, yet it is accompanied by a number of failures. Many people stick to the explanations of ‘I don’t have a math brain’ and don’t think deeper into the reason for the failure. What is happening, why is our relationship with mathematics changing after the first contact in early ages? This research used statistical analysis based on the data of an online questionnaire to identify the factors behind the mathematical performance. Based on the results presented, the initial relationship is strong and successful. Later, this relationship deteriorates, and the process can be closely correlated with the educational successes achieved. The analysis of the pattern, this has been the same for generations, it can be stated that it is inherited.","PeriodicalId":45565,"journal":{"name":"Journal of Decision Systems","volume":"31 1","pages":"168 - 180"},"PeriodicalIF":3.4,"publicationDate":"2022-06-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47648424","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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