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":null,"pages":null},"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":null,"pages":null},"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":null,"pages":null},"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":null,"pages":null},"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":null,"pages":null},"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}
Pub Date : 2022-06-01DOI: 10.1080/12460125.2022.2073647
Arif Wibisono, David Sammon, C. Heavin
ABSTRACT Workarounds are adaptive processes occurring in a centralised system environment. As adaptations, they expose organisations to potential data issues, for example, data availability, data accuracy, and data leak. Hence organisations need to manage workaround, one way to achieve this is to classify them. However, classifying workarounds is challenging because they are unique and situational. This study aims to develop a workaround classification by leveraging the theory of organisational routines. By adopting the theory’s ontology, we emphasise the duality of structure (ostensive) and agency (performative). Next, we construct a truth table to progress our assumptions around workarounds. Our analysis shapes the statement of two organisational routines infused definitions of a workaround. This definition facilitates a new workaround typology based on organisational routines. By opening the black box, we can leverage a novel approach to classifying workarounds. This classification provides researchers with alternate building blocks for further theory development in workarounds.
{"title":"Opening the workaround black box: an organisational routines perspective","authors":"Arif Wibisono, David Sammon, C. Heavin","doi":"10.1080/12460125.2022.2073647","DOIUrl":"https://doi.org/10.1080/12460125.2022.2073647","url":null,"abstract":"ABSTRACT Workarounds are adaptive processes occurring in a centralised system environment. As adaptations, they expose organisations to potential data issues, for example, data availability, data accuracy, and data leak. Hence organisations need to manage workaround, one way to achieve this is to classify them. However, classifying workarounds is challenging because they are unique and situational. This study aims to develop a workaround classification by leveraging the theory of organisational routines. By adopting the theory’s ontology, we emphasise the duality of structure (ostensive) and agency (performative). Next, we construct a truth table to progress our assumptions around workarounds. Our analysis shapes the statement of two organisational routines infused definitions of a workaround. This definition facilitates a new workaround typology based on organisational routines. By opening the black box, we can leverage a novel approach to classifying workarounds. This classification provides researchers with alternate building blocks for further theory development in workarounds.","PeriodicalId":45565,"journal":{"name":"Journal of Decision Systems","volume":null,"pages":null},"PeriodicalIF":3.4,"publicationDate":"2022-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46070296","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 : 2022-05-31DOI: 10.1080/12460125.2022.2083049
Richard Harris, E. Dempsey, Deirdre M Murray, S. Woodworth, Paidi O'Raghallaigh, Frédéric Adam
ABSTRACT This paper explores the potential of connected health solutions to solve the problems currently facing healthcare systems around the world with a particular interest in their decision support capabilities. Leveraging three selected projects in which we have been involved in the area of maternal and child health, the paper proposes a blueprint for connected health decisions in a variety of settings, namely: home-based, community-based, ward-based scenarios as well as the specific scenario of low-income countries. This blueprint can be used to frame discussions on connected health solutions and discuss their decision support potential.
{"title":"Towards a blueprint for decision support in connected health: scenarios in maternal and child health","authors":"Richard Harris, E. Dempsey, Deirdre M Murray, S. Woodworth, Paidi O'Raghallaigh, Frédéric Adam","doi":"10.1080/12460125.2022.2083049","DOIUrl":"https://doi.org/10.1080/12460125.2022.2083049","url":null,"abstract":"ABSTRACT This paper explores the potential of connected health solutions to solve the problems currently facing healthcare systems around the world with a particular interest in their decision support capabilities. Leveraging three selected projects in which we have been involved in the area of maternal and child health, the paper proposes a blueprint for connected health decisions in a variety of settings, namely: home-based, community-based, ward-based scenarios as well as the specific scenario of low-income countries. This blueprint can be used to frame discussions on connected health solutions and discuss their decision support potential.","PeriodicalId":45565,"journal":{"name":"Journal of Decision Systems","volume":null,"pages":null},"PeriodicalIF":3.4,"publicationDate":"2022-05-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44066328","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 : 2022-05-30DOI: 10.1080/12460125.2022.2073863
Agnes Wimmer, Zoltán Buzády, Anita Csesznak, Peter Szentesi
ABSTRACT Serious games are tools for measuring, evaluating, and developing leadership skills through the decisions taken by participants on leadership training. We analyse decision-making skills in relation to 29 leadership skills measured through FLIGBY, a Flow-developing serious game. Our empirical research explores the intuitive versus the analytical decision-making approaches’ connections to other leadership skills demonstrated by 734 leaders and managers: through a series of complex management decisions made in the game. Participants gain deeper insights into their skill sets, experience the immediate consequences of their decisions, and enhance their personal competitiveness by developing their leadership skills. The novelty of our research lies in analysing the relationship between Flow theory, leadership skills, and particularly decision-making skills. We highlight which leadership skills are most relevant to analytical and intuitive thinking skills. Our results show that both decision-making approaches could support the Flow-promoting leadership style, however intuitive thinking has a stronger relationship with it.
{"title":"Intuitive and analytical decision-making skills analysed through a flow developing serious game","authors":"Agnes Wimmer, Zoltán Buzády, Anita Csesznak, Peter Szentesi","doi":"10.1080/12460125.2022.2073863","DOIUrl":"https://doi.org/10.1080/12460125.2022.2073863","url":null,"abstract":"ABSTRACT Serious games are tools for measuring, evaluating, and developing leadership skills through the decisions taken by participants on leadership training. We analyse decision-making skills in relation to 29 leadership skills measured through FLIGBY, a Flow-developing serious game. Our empirical research explores the intuitive versus the analytical decision-making approaches’ connections to other leadership skills demonstrated by 734 leaders and managers: through a series of complex management decisions made in the game. Participants gain deeper insights into their skill sets, experience the immediate consequences of their decisions, and enhance their personal competitiveness by developing their leadership skills. The novelty of our research lies in analysing the relationship between Flow theory, leadership skills, and particularly decision-making skills. We highlight which leadership skills are most relevant to analytical and intuitive thinking skills. Our results show that both decision-making approaches could support the Flow-promoting leadership style, however intuitive thinking has a stronger relationship with it.","PeriodicalId":45565,"journal":{"name":"Journal of Decision Systems","volume":null,"pages":null},"PeriodicalIF":3.4,"publicationDate":"2022-05-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44159230","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 : 2022-05-29DOI: 10.1080/12460125.2022.2070945
Arif Wibisono, David Sammon, C. Heavin
ABSTRACT This research investigates how an organisational unit organises workaround-centric data activities (WCDA) to cope with data availability issues (in the context of their centralised and decentralised systems landscape). To unpack these often-invisible WCDA patterns of action, we present a field study of a Quality Assurance (QA) unit of an Indonesian sugar plantation company. We use open coding and a narrative network (NN) approach to complete our analysis. Our findings reveal that data availability issues produce three patterns of action: dual inspection, prudent control, and mindful handling. An organisation can build plausible pictures for governing data by better understanding these visualised patterns. Lastly, we discuss the pros and cons of these patterns of action in the context of data governance.
{"title":"Data availability issues: decisions as patterns of action","authors":"Arif Wibisono, David Sammon, C. Heavin","doi":"10.1080/12460125.2022.2070945","DOIUrl":"https://doi.org/10.1080/12460125.2022.2070945","url":null,"abstract":"ABSTRACT This research investigates how an organisational unit organises workaround-centric data activities (WCDA) to cope with data availability issues (in the context of their centralised and decentralised systems landscape). To unpack these often-invisible WCDA patterns of action, we present a field study of a Quality Assurance (QA) unit of an Indonesian sugar plantation company. We use open coding and a narrative network (NN) approach to complete our analysis. Our findings reveal that data availability issues produce three patterns of action: dual inspection, prudent control, and mindful handling. An organisation can build plausible pictures for governing data by better understanding these visualised patterns. Lastly, we discuss the pros and cons of these patterns of action in the context of data governance.","PeriodicalId":45565,"journal":{"name":"Journal of Decision Systems","volume":null,"pages":null},"PeriodicalIF":3.4,"publicationDate":"2022-05-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45720136","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 : 2022-05-23DOI: 10.1080/12460125.2022.2073638
F. Carton, J. McCarthy, H. Xiong
ABSTRACT This paper draws on quantitative and qualitative research from social housing tenants in Ireland, exploring the relationship between digital access to financial resources and financial well-being. We find that using the mobile phone to check a bank balance is associated with decisions around financial commitments (not running out) and resilience (having savings, being able to withstand a shock). Using the internet to check a bank balance is correlated with not having financial difficulties. However, paying bills via mobile phone is correlated with not having money left over at the end of the month and not saving, suggesting an increasing impulsiveness in decision making. IT-enabled banking and commerce have positive and negative implications for day-to-day money management and expenditure decisions. We therefore suggest further multi-disciplinary research on the opportunities for information technology to inform policy and practice around prudent money management decision making for consumers.
{"title":"Digital factors supporting decision making in the financial well-being of social housing residents","authors":"F. Carton, J. McCarthy, H. Xiong","doi":"10.1080/12460125.2022.2073638","DOIUrl":"https://doi.org/10.1080/12460125.2022.2073638","url":null,"abstract":"ABSTRACT This paper draws on quantitative and qualitative research from social housing tenants in Ireland, exploring the relationship between digital access to financial resources and financial well-being. We find that using the mobile phone to check a bank balance is associated with decisions around financial commitments (not running out) and resilience (having savings, being able to withstand a shock). Using the internet to check a bank balance is correlated with not having financial difficulties. However, paying bills via mobile phone is correlated with not having money left over at the end of the month and not saving, suggesting an increasing impulsiveness in decision making. IT-enabled banking and commerce have positive and negative implications for day-to-day money management and expenditure decisions. We therefore suggest further multi-disciplinary research on the opportunities for information technology to inform policy and practice around prudent money management decision making for consumers.","PeriodicalId":45565,"journal":{"name":"Journal of Decision Systems","volume":null,"pages":null},"PeriodicalIF":3.4,"publicationDate":"2022-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44906171","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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