Pub Date : 2022-01-23DOI: 10.1080/12460125.2022.2029049
Roland Graef, Mathias Klier, A. Obermeier, J. Zolitschka
ABSTRACT While e-commerce has flourished in the past decades, brick-and-mortar retail stores face increasing challenges in attracting customers. Prior research indicates that humanoid robots may constitute a promising means to counteract this development. However, their capability to acquire and make use of rich information from the physical world (e.g. regarding customers’ physical characteristics) in combination with knowledge from (online) databases has not been adequately exploited yet. Thus, we aim at bringing together the best of the physical and the digital world by supplementing the traditional consultation process in brick-and-mortar retail stores with humanoid robots. Following a design-oriented approach, we propose a novel knowledge-based humanoid robot recommender process. We demonstrate our approach in cooperation with an optician and evaluate it using a customer survey and expert interviews. Results show that the approach achieves the design objectives and yields high customer satisfaction.
{"title":"What to buy, Pepper? – Bridging the Physical and the Digital World with Recommendations from Humanoid Robots","authors":"Roland Graef, Mathias Klier, A. Obermeier, J. Zolitschka","doi":"10.1080/12460125.2022.2029049","DOIUrl":"https://doi.org/10.1080/12460125.2022.2029049","url":null,"abstract":"ABSTRACT While e-commerce has flourished in the past decades, brick-and-mortar retail stores face increasing challenges in attracting customers. Prior research indicates that humanoid robots may constitute a promising means to counteract this development. However, their capability to acquire and make use of rich information from the physical world (e.g. regarding customers’ physical characteristics) in combination with knowledge from (online) databases has not been adequately exploited yet. Thus, we aim at bringing together the best of the physical and the digital world by supplementing the traditional consultation process in brick-and-mortar retail stores with humanoid robots. Following a design-oriented approach, we propose a novel knowledge-based humanoid robot recommender process. We demonstrate our approach in cooperation with an optician and evaluate it using a customer survey and expert interviews. Results show that the approach achieves the design objectives and yields high customer satisfaction.","PeriodicalId":45565,"journal":{"name":"Journal of Decision Systems","volume":"32 1","pages":"439 - 465"},"PeriodicalIF":3.4,"publicationDate":"2022-01-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41976992","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 : 2022-01-09DOI: 10.1080/12460125.2021.2023256
John McAvoy, A. Creed, Aodán Cotter, Luke Merriman, Philip O'Reilly, Mary Dempsey, A. Brennan
ABSTRACT Information modality refers to the use of different sensory channels to process information when making decisions: for example audible or visual information. This study examines the impact of information modality on investors making financial decisions. A Repertory Grid analysis is performed to derive features and functionality to create an Amazon Echo Show system for financial decision-making. This system is used to present a mixture of both audio and visual information to facilitate financial decision-making. The system is tested through the lens of the modality effect to determine the best method of presenting financial data to investors to inform their decision-making. Findings show the inferiority of audible information over visual information for retail investors’ decision-making, especially for numerical data. However, with adjustments in information length and by prioritising non-numerical data, audible information could be of significant benefit when designing future systems to aid investor decision-making.
{"title":"Investor decision making: an investigation of the modality effect","authors":"John McAvoy, A. Creed, Aodán Cotter, Luke Merriman, Philip O'Reilly, Mary Dempsey, A. Brennan","doi":"10.1080/12460125.2021.2023256","DOIUrl":"https://doi.org/10.1080/12460125.2021.2023256","url":null,"abstract":"ABSTRACT Information modality refers to the use of different sensory channels to process information when making decisions: for example audible or visual information. This study examines the impact of information modality on investors making financial decisions. A Repertory Grid analysis is performed to derive features and functionality to create an Amazon Echo Show system for financial decision-making. This system is used to present a mixture of both audio and visual information to facilitate financial decision-making. The system is tested through the lens of the modality effect to determine the best method of presenting financial data to investors to inform their decision-making. Findings show the inferiority of audible information over visual information for retail investors’ decision-making, especially for numerical data. However, with adjustments in information length and by prioritising non-numerical data, audible information could be of significant benefit when designing future systems to aid investor decision-making.","PeriodicalId":45565,"journal":{"name":"Journal of Decision Systems","volume":"32 1","pages":"242 - 263"},"PeriodicalIF":3.4,"publicationDate":"2022-01-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41609301","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 : 2022-01-07DOI: 10.1080/12460125.2021.2023257
M. T. Khatun, K. Hiekata, Yutaka Takahashi, Isaac Okada
ABSTRACT Despite proper planning and scheduling, project execution is challenging, and one critical factor is uncertainty duringthe project implementation process. This study presents a system dynamics (SD) model as a decision-support system for model-based decision-making that considers the uncertainty of rework generation by predicting dynamic and complex project behaviour. The SD model was developedalong with a rework cycle that principally contributes to rework generation. The uncertainty ofrework generation and project performance werevisualized and integrated into decision-making components.Six different scenarios involving hiring and overtime usage were explored to ensure project performance whendesigning a feasible project plan.The novelty of this study lies inthe decision-making process for obtaining the best planning alternatives under uncertainty and project conditions. Actions should be implemented thatpredict and analyse improvised project planningprocesses and control model-based decision-making under uncertainty.
{"title":"Design and management of software development projects under rework uncertainty: a study using system dynamics","authors":"M. T. Khatun, K. Hiekata, Yutaka Takahashi, Isaac Okada","doi":"10.1080/12460125.2021.2023257","DOIUrl":"https://doi.org/10.1080/12460125.2021.2023257","url":null,"abstract":"ABSTRACT Despite proper planning and scheduling, project execution is challenging, and one critical factor is uncertainty duringthe project implementation process. This study presents a system dynamics (SD) model as a decision-support system for model-based decision-making that considers the uncertainty of rework generation by predicting dynamic and complex project behaviour. The SD model was developedalong with a rework cycle that principally contributes to rework generation. The uncertainty ofrework generation and project performance werevisualized and integrated into decision-making components.Six different scenarios involving hiring and overtime usage were explored to ensure project performance whendesigning a feasible project plan.The novelty of this study lies inthe decision-making process for obtaining the best planning alternatives under uncertainty and project conditions. Actions should be implemented thatpredict and analyse improvised project planningprocesses and control model-based decision-making under uncertainty.","PeriodicalId":45565,"journal":{"name":"Journal of Decision Systems","volume":"32 1","pages":"265 - 288"},"PeriodicalIF":3.4,"publicationDate":"2022-01-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47326906","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 : 2022-01-04DOI: 10.1080/12460125.2021.2023258
Heng Xie, Alsius David, Md Rasel Al Mamun, V. Prybutok, A. Sidorova
ABSTRACT Despite a current level of uncertainty, taxi service companies are incorporating autonomous cars in their services. This study examines factors influencing consumers' initial trust in autonomous taxis to extend trust model research and develop a new model in autonomous taxis. The new model examines the influence of trust base factors and subjective norms on three constructs. It assesses eight trust base factors of cognitive, personality, calculative, and institutional categories. Findings indicate that faith in intelligent machines, calculative cost/benefit perception, perceived societal benefits, organizational situation normality, and technology structural assurance are potential indicators of consumers' trusting beliefs in this context. Data was collected from undergraduate students and future research should test the model with other populations to determine if differences among groups exist. The study makes significant contributions to both theory and practice by extending the initial trust model and examining trusting factors in the context of autonomous taxis.
{"title":"The formation of initial trust by potential passengers of self-driving taxis","authors":"Heng Xie, Alsius David, Md Rasel Al Mamun, V. Prybutok, A. Sidorova","doi":"10.1080/12460125.2021.2023258","DOIUrl":"https://doi.org/10.1080/12460125.2021.2023258","url":null,"abstract":"ABSTRACT Despite a current level of uncertainty, taxi service companies are incorporating autonomous cars in their services. This study examines factors influencing consumers' initial trust in autonomous taxis to extend trust model research and develop a new model in autonomous taxis. The new model examines the influence of trust base factors and subjective norms on three constructs. It assesses eight trust base factors of cognitive, personality, calculative, and institutional categories. Findings indicate that faith in intelligent machines, calculative cost/benefit perception, perceived societal benefits, organizational situation normality, and technology structural assurance are potential indicators of consumers' trusting beliefs in this context. Data was collected from undergraduate students and future research should test the model with other populations to determine if differences among groups exist. The study makes significant contributions to both theory and practice by extending the initial trust model and examining trusting factors in the context of autonomous taxis.","PeriodicalId":45565,"journal":{"name":"Journal of Decision Systems","volume":"32 1","pages":"326 - 355"},"PeriodicalIF":3.4,"publicationDate":"2022-01-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46236440","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 : 2021-12-23DOI: 10.1080/12460125.2021.2018982
M. Bhatnagar
ABSTRACT O*NET provides a comprehensive system for maintaining occupational data in the U.S. This paper proposes the implementation of a career decision support system that can enhance the decision value for career decision-makers. Existing O*NET infrastructure, which includes a group of informational portals, is evaluated and areas of improvement are revealed. Analytical capabilities of prediction and prescription are identified within the theoretical context provided by career decision research and O*NET. An evaluation framework based on the analytical hierarchy process and Bayesian statistics is proposed and used to compare decision values for the existing O*NET portal against conceptualised enhanced career decision support system functionality.
{"title":"Enhancing the decision value of O*NET for career decision makers","authors":"M. Bhatnagar","doi":"10.1080/12460125.2021.2018982","DOIUrl":"https://doi.org/10.1080/12460125.2021.2018982","url":null,"abstract":"ABSTRACT O*NET provides a comprehensive system for maintaining occupational data in the U.S. This paper proposes the implementation of a career decision support system that can enhance the decision value for career decision-makers. Existing O*NET infrastructure, which includes a group of informational portals, is evaluated and areas of improvement are revealed. Analytical capabilities of prediction and prescription are identified within the theoretical context provided by career decision research and O*NET. An evaluation framework based on the analytical hierarchy process and Bayesian statistics is proposed and used to compare decision values for the existing O*NET portal against conceptualised enhanced career decision support system functionality.","PeriodicalId":45565,"journal":{"name":"Journal of Decision Systems","volume":"32 1","pages":"1 - 18"},"PeriodicalIF":3.4,"publicationDate":"2021-12-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48821317","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 : 2021-12-21DOI: 10.1080/12460125.2021.2003512
Jialiang He, Haiyan Zhang, Huiying Zhao
{"title":"Research on the auxiliary treatment system of childhood autism based on virtual reality","authors":"Jialiang He, Haiyan Zhang, Huiying Zhao","doi":"10.1080/12460125.2021.2003512","DOIUrl":"https://doi.org/10.1080/12460125.2021.2003512","url":null,"abstract":"","PeriodicalId":45565,"journal":{"name":"Journal of Decision Systems","volume":" ","pages":""},"PeriodicalIF":3.4,"publicationDate":"2021-12-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46938654","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 : 2021-12-13DOI: 10.1080/12460125.2021.2015840
S. A. Raza
ABSTRACT Current decision support systems (DSS) research is overwhelmingly positivist and limits the adequate representation of relevant stakeholders. This crisis of relevance precludes the systemic inclusion of social and ethical issues in complex socio-technical DSS designs. For their unstable boundary conditions, such systems also require explicit coverage of their dynamics. Lending a novel perspective to DSS research, this paper proposes a framework with the new decision-making paradigm and the systemic inquiry of boundary critique to explore stakeholder perspectives for more ethically-aware DSS development. Using qualitative research, the developed framework is applied to unleash ethical issues for a dynamic and complex socio-technical university timetabling scenario implemented as a web-based group decision support system. Multiple stakeholder perspectives are recognised and analysed for boundary judgements, while a dynamic stakeholder network considers boundary liquidity and emergence. This work aims to couple systemic epistemology with the socio-technical lens to encourage the inclusion of ethical dimensions in dynamic and complex DSS designs.
{"title":"A paradigm shift to ethical decision-making—incorporating systemic epistemology into complex socio-technical decision support systems research","authors":"S. A. Raza","doi":"10.1080/12460125.2021.2015840","DOIUrl":"https://doi.org/10.1080/12460125.2021.2015840","url":null,"abstract":"ABSTRACT Current decision support systems (DSS) research is overwhelmingly positivist and limits the adequate representation of relevant stakeholders. This crisis of relevance precludes the systemic inclusion of social and ethical issues in complex socio-technical DSS designs. For their unstable boundary conditions, such systems also require explicit coverage of their dynamics. Lending a novel perspective to DSS research, this paper proposes a framework with the new decision-making paradigm and the systemic inquiry of boundary critique to explore stakeholder perspectives for more ethically-aware DSS development. Using qualitative research, the developed framework is applied to unleash ethical issues for a dynamic and complex socio-technical university timetabling scenario implemented as a web-based group decision support system. Multiple stakeholder perspectives are recognised and analysed for boundary judgements, while a dynamic stakeholder network considers boundary liquidity and emergence. This work aims to couple systemic epistemology with the socio-technical lens to encourage the inclusion of ethical dimensions in dynamic and complex DSS designs.","PeriodicalId":45565,"journal":{"name":"Journal of Decision Systems","volume":"32 1","pages":"177 - 200"},"PeriodicalIF":3.4,"publicationDate":"2021-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45086346","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 : 2021-11-25DOI: 10.1080/12460125.2021.2005860
Bahaa Awwad, R. El Khoury
{"title":"Information technology governance and bank performance: evidence from Palestine","authors":"Bahaa Awwad, R. El Khoury","doi":"10.1080/12460125.2021.2005860","DOIUrl":"https://doi.org/10.1080/12460125.2021.2005860","url":null,"abstract":"","PeriodicalId":45565,"journal":{"name":"Journal of Decision Systems","volume":" ","pages":""},"PeriodicalIF":3.4,"publicationDate":"2021-11-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43971828","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 : 2021-09-22DOI: 10.1080/12460125.2021.1980943
Baoling Qin
Through the establishment of a voice database and voice recognition model, combined with voice recognition processing methods, an intelligent voice recognition input system with medical big data an...
{"title":"Research on the application of intelligent speech recognition technology in medical big data fog computing system","authors":"Baoling Qin","doi":"10.1080/12460125.2021.1980943","DOIUrl":"https://doi.org/10.1080/12460125.2021.1980943","url":null,"abstract":"Through the establishment of a voice database and voice recognition model, combined with voice recognition processing methods, an intelligent voice recognition input system with medical big data an...","PeriodicalId":45565,"journal":{"name":"Journal of Decision Systems","volume":" ","pages":""},"PeriodicalIF":3.4,"publicationDate":"2021-09-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49637486","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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