Journal of Decision Systems最新文献_第5页

The perspectives of decision support in hotel industry: systematic review and bibliometric analysis 酒店业决策支持的视角:系统回顾与文献计量分析

Journal of Decision Systems Pub Date : 2023-10-04 DOI: 10.1080/12460125.2023.2263677

Tamara Ćurlin, Božidar Jaković, Zoran Wittine

{"title":"The perspectives of decision support in hotel industry: systematic review and bibliometric analysis","authors":"Tamara Ćurlin, Božidar Jaković, Zoran Wittine","doi":"10.1080/12460125.2023.2263677","DOIUrl":"https://doi.org/10.1080/12460125.2023.2263677","url":null,"abstract":"ABSTRACTDecision support methods are used widely in different industries to advance decision-making and strategy development with the purpose of achieving company’s goals. In the hotel industry, decision support strategies became a tool for gaining competitive advantage through personalisation and providing curated offers to potential guests. This paper aims to explore state of the art on investigations and establish relevance and key focuses within the topic. In order to achieve paper goals a combination of methods and analytic tools were utilised, such as bibliometric analysis, citation analysis and cluster analysis. Results which emerged from the analysis point out that information technology is the most critical perspective of the topic. Decision support in the hotel industry’s further development is dependent on technological advancement. Future investigations could concentrate on providing more profound knowledge on the individual focus areas, and expand the investigation, for instance, on the tourism sector or hospitality industry.KEYWORDS: Decision supporthotel industryonline reviewsbibliometric analysis Disclosure statementNo potential conflict of interest was reported by the author(s).","PeriodicalId":45565,"journal":{"name":"Journal of Decision Systems","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135592136","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: 0

Humans supervising Artificial intelligence – Investigation of Designs to optimize error detection 监督人工智能的人类-优化错误检测的设计调查

Journal of Decision Systems Pub Date : 2023-10-04 DOI: 10.1080/12460125.2023.2260518

Marvin Braun, Maike Greve, Alfred Benedikt Brendel, Lutz M. Kolbe

{"title":"Humans supervising Artificial intelligence – Investigation of Designs to optimize error detection","authors":"Marvin Braun, Maike Greve, Alfred Benedikt Brendel, Lutz M. Kolbe","doi":"10.1080/12460125.2023.2260518","DOIUrl":"https://doi.org/10.1080/12460125.2023.2260518","url":null,"abstract":"ABSTRACTArtificial Intelligence (AI) fundamentally changes the way we work by introducing new capabilities. Human tasks shift towards a supervising role where the human confirms or disconfirms the presented decision. In this study, we utilise the signal detection theory to investigate and explain how the performance of human error detection is influenced by specific information design. We conducted two online experiments in the context of AI-supported information extraction and measured the ability of participants to validate the extracted information. In the first experiment, we investigated the mechanism of information provided prior to conducting the error detection task. In the second experiment, we manipulated the design of the presented information during the task and investigated its effect. Both manipulations significantly impacted the error detection performance of humans. Hence our study provides important insights for developing AI-based decision support systems and contributes to the theoretical understanding of human-AI collaboration.KEYWORDS: Supervisionartificial intelligenceerror detectiondecision makingsignal detection theory AcknowledgmentsWe acknowledge that a previous version of study 2 has received valuable feedback on the European Conference on Information Systems 2022.Disclosure statementNo potential conflict of interest was reported by the author(s).Ethics statementThe present research constitutes a non-interventional study, specifically focused on surveys and data analysis, wherein no direct intervention, manipulation, or experimentation on human participants is involved. As a result, this study falls under the category where ethical approval is not required.","PeriodicalId":45565,"journal":{"name":"Journal of Decision Systems","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135591440","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: 0

A multicriteria model to support decisions regarding data protection compliance 支持有关数据保护遵从性的决策的多标准模型

Journal of Decision Systems Pub Date : 2023-09-30 DOI: 10.1080/12460125.2023.2263683

Natalia Vieira Dantas, Ana Paula Henriques de Gusmão, Marcella Teixeira Gonzaga

{"title":"A multicriteria model to support decisions regarding data protection compliance","authors":"Natalia Vieira Dantas, Ana Paula Henriques de Gusmão, Marcella Teixeira Gonzaga","doi":"10.1080/12460125.2023.2263683","DOIUrl":"https://doi.org/10.1080/12460125.2023.2263683","url":null,"abstract":"ABSTRACTWith the advent of the General Personal Data Protection Law (LGPD) in Brazil, companies need to adapt to the law and, therefore, must identify weaknesses in relation to the protection of personal data. Next, actions are defined that include investments in technology, infrastructure and training. These actions require resources, either for the implementation of some technology or readjustment of the system, time for implementation, restructuring of processes, and involvement of key people. Considering these actions can also impact the organizational strategy, this work proposes a model to support the prioritization of actions necessary to comply with the LGPD. The model is based on the FITradeoff (Flexible and Interactive Tradeoff) multicriteria method. The proposed model was applied in a Brazilian organization that is adapting to the LGPD and needed formal support in relation to decisions. The recommendations obtained demonstrated alignment with the company's needs and strategies.KEYWORDS: Data protection; compliancemulticriteria decisionfitradeoff AcknowledgmentsThe authors would like to acknowledge the National Council for the Improvement of Higher Education (CAPES) and the Brazilian Research Council (CNPq) Brazilian National Research Council (CNPq), under Grant 311197/2020-5, for the support received to develop this research.Disclosure statementNo potential conflict of interest was reported by the author(s).","PeriodicalId":45565,"journal":{"name":"Journal of Decision Systems","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136279764","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: 0

A multilevel decision-making approach for road infrastructure management 道路基础设施管理的多层次决策方法

Journal of Decision Systems Pub Date : 2023-09-29 DOI: 10.1080/12460125.2023.2263675

Sérgio Pedro Duarte, António Lobo, Joana Ribeiro, João Valente Neves, António Couto, Sara Ferreira

{"title":"A multilevel decision-making approach for road infrastructure management","authors":"Sérgio Pedro Duarte, António Lobo, Joana Ribeiro, João Valente Neves, António Couto, Sara Ferreira","doi":"10.1080/12460125.2023.2263675","DOIUrl":"https://doi.org/10.1080/12460125.2023.2263675","url":null,"abstract":"ABSTRACTThe design of effective road safety countermeasures requires a network diagnosis supported by data. Moreover, infrastructures need to be ready for the introduction of vehicle-to-infrastructure communications to support technologies, as truck platooning. Ascendi, a motorway concessionaire, developed an action plan to decrease crash frequency and casualties that rests in data recorded by automatic vehicle counting devices. To have a good network representation, new equipment will provide more data, thus enhancing the selection of countermeasures. We developed a multilevel decision-support approach to define equipment location. The process stages correspond to three levels of analysis: (1) clustering for road segment classification (network level); (2) quantification of the devices to install ensuring similar coverage (concession level); (3) device allocation according to geographical and cost criteria (segment level). An iterative and participatory process involving Ascendi resulted in a proposal for adding 43 devices to the existing 72, increasing the network coverage to 39%.KEYWORDS: Cluster analysismultilevel decisiondecision-makingdata collectionroad safetyVision Zero AcknowledgmentsThe authors acknowledge Ascendi’s support in the development of the decision-making process.Disclosure statementNo potential conflict of interest was reported by the author(s).Data availability statementData not available due to commercial restrictions.Additional informationFundingThis work is financially supported by national funds through the FCT/MCTES (PIDDAC), under the project PTDC/ECI-TRA/4672/2020.","PeriodicalId":45565,"journal":{"name":"Journal of Decision Systems","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-09-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135246020","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: 0

Formulating the potentials of clustering of event data over multiple entities for decision support: a network embeddings approach 为决策支持制定多个实体上事件数据聚类的潜力:一种网络嵌入方法

Journal of Decision Systems Pub Date : 2023-09-28 DOI: 10.1080/12460125.2023.2263684

Pavlos Delias, Daniela Grigori

{"title":"Formulating the potentials of clustering of event data over multiple entities for decision support: a network embeddings approach","authors":"Pavlos Delias, Daniela Grigori","doi":"10.1080/12460125.2023.2263684","DOIUrl":"https://doi.org/10.1080/12460125.2023.2263684","url":null,"abstract":"ABSTRACTEvent data from business processes evidence their patterns, behaviors, and dysfunctions. Analytics techniques like clustering and sorting can reveal relevant insights, when data are correlated with a single case identifier. However, when multiple entities are involved, unidimensional models are challenged. We introduce a novel method for analyzing business processes involving multiple interacting entity types. Our approach employs embedding representations to capture pairwise similarities among entity types and their interrelationships. An optimization problem encompasses similarity matrices, cross-entity relationship matrices, and embeddings. An iterative algorithm refines this model, yielding embedding representations and cluster assignments for each entity type. Formulating our method across three diverse business scenarios demonstrates its practicality and potential. Our results, through a proof of concept using real-world data, underscore the value of accounting for the multifaceted nature of business processes, showing substantial improvements and qualitative distinctions compared to unidimensional models.KEYWORDS: Process analyticsmultiple entitiesclusteringnetwork embeddingsdecision supportproblem formulation Disclosure statementNo potential conflict of interest was reported by the authors.Notes1. https://www.win.tue.nl/bpi/2017/challenge.html","PeriodicalId":45565,"journal":{"name":"Journal of Decision Systems","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-09-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135388080","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: 0

Understanding the continuous use of business intelligence: the case of Jordan 了解商业智能的持续使用:Jordan的案例

IF 3.4

Journal of Decision Systems Pub Date : 2023-09-04 DOI: 10.1080/12460125.2023.2253587

Sahar Hayajneh, Yousra Harb

引用次数: 0

Mitigating cognitive bias with clinical decision support systems: an experimental study 临床决策支持系统减轻认知偏差:一项实验研究

IF 3.4

Journal of Decision Systems Pub Date : 2023-08-08 DOI: 10.1080/12460125.2023.2245215

Alisa Küper, G. Lodde, E. Livingstone, D. Schadendorf, Nicole Krämer

引用次数: 1

The Effect of Online Deception on Behavioral Intentions towards E-Tailers: The Mediating Roles of E-Shopping Value and E-Trust 网络欺骗对电子零售商行为意向的影响:电子购物价值和电子信任的中介作用

IF 3.4

Journal of Decision Systems Pub Date : 2023-07-28 DOI: 10.1080/12460125.2023.2240616

K. Garrouch, M. Mzoughi, Safa Chaieb

引用次数: 0

Rethinking the role of uncertainty and risk in Marketing 重新思考不确定性和风险在市场营销中的作用

IF 3.4

Journal of Decision Systems Pub Date : 2023-07-06 DOI: 10.1080/12460125.2023.2232570

D. Grimaldi, J. Sallan, Hugo Arboleda, Sapna Sehgal

引用次数: 0

User acceptance test for software development in the agricultural domain using natural language processing 利用自然语言处理进行农业领域软件开发的用户验收测试

IF 3.4

Journal of Decision Systems Pub Date : 2023-06-29 DOI: 10.1080/12460125.2023.2229579

L. Antonelli, G. Camilleri, Diego Torres, Pascale Zaraté

引用次数: 0