发布求助
文献互助 智能选刊 最新文献

Journal of Decision Systems最新文献

筛选
英文 中文
DSS research: a bibliometric analysis by gender DSS研究：按性别分类的文献计量分析
IF 3.4
Journal of Decision Systems Pub Date : 2022-05-03 DOI: 10.1080/12460125.2022.2070953
P. Keenan, C. Heavin
{"title":"DSS research: a bibliometric analysis by gender","authors":"P. Keenan, C. Heavin","doi":"10.1080/12460125.2022.2070953","DOIUrl":"https://doi.org/10.1080/12460125.2022.2070953","url":null,"abstract":"ABSTRACT This research-in-progress article uses a bibliometric approach to explore the research landscape by the gender of publishing authors in the Decision Support Systems (DSS) field over 10 years, from 2011 to 2020. The Web of Science (WOS) provides a valuable information resource on academic disciplines as it contains both the articles published and the articles cited. This research presents information on the gender breakdown of authors publishing on the topic of DSS globally. We examined publication trends over time, considering the main categories and research areas by authors’ gender. As a result, some initial recommendations to guide future research efforts of both DSS academics and practitioners are provided.","PeriodicalId":45565,"journal":{"name":"Journal of Decision Systems","volume":"31 1","pages":"107 - 116"},"PeriodicalIF":3.4,"publicationDate":"2022-05-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46934279","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
Data-driven decision making: new opportunities for DSS in data stream contexts 数据驱动决策：数据流环境下DSS的新机遇
IF 3.4
Journal of Decision Systems Pub Date : 2022-05-02 DOI: 10.1080/12460125.2022.2071404
Nuria Mollá, C. Heavin, A. Rabasa
{"title":"Data-driven decision making: new opportunities for DSS in data stream contexts","authors":"Nuria Mollá, C. Heavin, A. Rabasa","doi":"10.1080/12460125.2022.2071404","DOIUrl":"https://doi.org/10.1080/12460125.2022.2071404","url":null,"abstract":"ABSTRACT Traditionally, Decision Support Systems (DSS) data were stored statically and persistently in a database. Increasing volume and intensity of information and data streams create new opportunities and challenges for DSS experts, data scientists, and decision makers. Novel data stream contexts require that we move beyond static DSS modelling techniques to support data-driven decision-making. Implementing incremental and/or adaptive algorithms may help to solve some of the challenges arising from data streams. This research investigates the use of these algorithms to better understand how their performance compares with more traditional approaches. We show that an adaptive DSS engine has the potential to identify errors and improve the accuracy of the model. We briefly identify how this approach could be applied to unexpected highly uncertain decision scenarios. Future research considers new opportunities to pursue a multidisciplinary approach to adaptive DSS design, development, and implementation leveraging emerging machine learning techniques in tackling complex decision problems.","PeriodicalId":45565,"journal":{"name":"Journal of Decision Systems","volume":"31 1","pages":"255 - 269"},"PeriodicalIF":3.4,"publicationDate":"2022-05-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44537575","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
Support for cognition in decision support systems: an exploratory historical review 决策支持系统对认知的支持:一个探索性的历史回顾
IF 3.4
Journal of Decision Systems Pub Date : 2022-04-29 DOI: 10.1080/12460125.2022.2070946
G. Phillips-Wren, Mary Daly, F. Burstein
{"title":"Support for cognition in decision support systems: an exploratory historical review","authors":"G. Phillips-Wren, Mary Daly, F. Burstein","doi":"10.1080/12460125.2022.2070946","DOIUrl":"https://doi.org/10.1080/12460125.2022.2070946","url":null,"abstract":"ABSTRACT Decision support systems (DSS) have been traditionally developed to assist with unstructured and semi-structured problems. Early DSS researchers explored a broad range of techniques for supporting human cognition as part of decision making. Cognition during decision making was viewed in terms of two competing, and sometimes cooperating, systems: one that was automatic and fast, and one that was deliberative and slow. The aim of this research is to trace historical studies on cognitive aspects of decision support and determine the theoretical underpinnings of DSS support for cognition. We analysed articles drawing on the seminal literature to derive the relevant dimensions, including the classical Gorry & Scott Morton (1989) framework. This analysis identified opportunities for future research relevant to providing better support for cognition by highlighting some design parameters for information systems.","PeriodicalId":45565,"journal":{"name":"Journal of Decision Systems","volume":"31 1","pages":"18 - 30"},"PeriodicalIF":3.4,"publicationDate":"2022-04-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48055823","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
Distance-based aggregation in group AHP 群AHP中基于距离的聚合
IF 3.4
Journal of Decision Systems Pub Date : 2022-04-29 DOI: 10.1080/12460125.2022.2070952
Zsombor Szádoczki, S. Duleba
{"title":"Distance-based aggregation in group AHP","authors":"Zsombor Szádoczki, S. Duleba","doi":"10.1080/12460125.2022.2070952","DOIUrl":"https://doi.org/10.1080/12460125.2022.2070952","url":null,"abstract":"ABSTRACT The aggregation of evaluators’ preferences is a key problem in group decision making. We examine the recently proposed distance-based techniques and compare their efficiency to the traditional aggregation of individual preferences (AIP) methods in simulated Analytic Hierarchy Process (AHP) cases. We use the Kendall W statistic to measure the rank correlation among the individual priority vectors of the group and the common priority vector for the different aggregation approaches. Extensive simulations (altogether 88000 cases) show that both the Euclidean Distance-Based Aggregation Method (EDBAM) and the Aitchison Distance-Based Aggregation Method significantly outperform the traditional techniques in case of smaller and mid-sized priority vectors (at most six items to be compared). However, EDBAM outperform the AIP methods for all dimensions that is conventionally used in AHP, and its computation time is also low.","PeriodicalId":45565,"journal":{"name":"Journal of Decision Systems","volume":"31 1","pages":"98 - 106"},"PeriodicalIF":3.4,"publicationDate":"2022-04-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44177835","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
AI ethical biases: normative and information systems development conceptual framework 人工智能伦理偏见：规范和信息系统发展概念框架
IF 3.4
Journal of Decision Systems Pub Date : 2022-04-20 DOI: 10.1080/12460125.2022.2062849
T. Chowdhury, J. Oredo
{"title":"AI ethical biases: normative and information systems development conceptual framework","authors":"T. Chowdhury, J. Oredo","doi":"10.1080/12460125.2022.2062849","DOIUrl":"https://doi.org/10.1080/12460125.2022.2062849","url":null,"abstract":"ABSTRACT Alongside the revolutionary benefits of AI, it can cause numerous problems across the system development process. AI ecosytem players have recently started to interrogate the ethical biases implicit in AI-enabled applications and agents. The contestable nature of ethics and the complexity of AI-enabled applications has led to incoherent literature around AI ethical biases. The numerous conceptions of AI ethics and a multiplicity of ethical biases has compounded matters for researchers, practitioners, and policy makers. The current study proposes a conceptual framework to organize AI ethical biases. A narrative literature review was conducted to identify and group the biases into data biases, method biases and implementation biases. The CRISP-DM framework was used to classify the ethical biases. The emerging conceptual framework has four clusters that represents: System development phases, scope of ethical bias, exemplars, and possible solutions. The study extends the existing AI ethical frameworks and provides a unified communication artefact for practitioners.","PeriodicalId":45565,"journal":{"name":"Journal of Decision Systems","volume":" ","pages":""},"PeriodicalIF":3.4,"publicationDate":"2022-04-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45872286","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
The role of management in fostering analytics: the shift from intuition to analytics-based decision-making 管理在培养分析中的作用:从直觉到基于分析的决策的转变
IF 3.4
Journal of Decision Systems Pub Date : 2022-04-12 DOI: 10.1080/12460125.2022.2062848
Philipp Korherr, D. Kanbach, S. Kraus, Paul Jones
{"title":"The role of management in fostering analytics: the shift from intuition to analytics-based decision-making","authors":"Philipp Korherr, D. Kanbach, S. Kraus, Paul Jones","doi":"10.1080/12460125.2022.2062848","DOIUrl":"https://doi.org/10.1080/12460125.2022.2062848","url":null,"abstract":"ABSTRACT Research shows that many firms still make business critical decisions intuitively, despite clear evidence that analytics-based decision-making is likely more effective in creating corporate and social value. With the aim of providing actionable guidance to firms on how to accomplish the shift to analytics-based decision-making, this paper sheds light on the management factors that prove critical in this context. An in-depth single-site case study was conducted with a large publicly listed German manufacturing company. Building on 22 semi-structured interviews, this empirical study identifies six factors that play a critical role in establishing analytics-based decision-making: management behaviour, top management and strategy, analytics infrastructure, organisation and governance, HR management and development, and culture. This study forms the basis for further scientific research on the role of firm management in the transitional phase. Furthermore, it provides firm leaders with a systemised and practical framework to structure firm efforts to establish data-based decision making.","PeriodicalId":45565,"journal":{"name":"Journal of Decision Systems","volume":" ","pages":""},"PeriodicalIF":3.4,"publicationDate":"2022-04-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47904397","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: 13
Role of Executive Sponsors in business analytics success – Understanding their influence domains using Deductive Thematic Analysis 执行发起人在商业分析成功中的作用-使用演绎主题分析了解他们的影响领域
IF 3.4
Journal of Decision Systems Pub Date : 2022-04-08 DOI: 10.1080/12460125.2022.2043576
S. Srinivasan, Amit Agrahari, Ashwani Kumar
{"title":"Role of Executive Sponsors in business analytics success – Understanding their influence domains using Deductive Thematic Analysis","authors":"S. Srinivasan, Amit Agrahari, Ashwani Kumar","doi":"10.1080/12460125.2022.2043576","DOIUrl":"https://doi.org/10.1080/12460125.2022.2043576","url":null,"abstract":"ABSTRACT Analytics success has delivered superior customer value, higher revenue growth, and enhanced profitability to organizations. However, a large percentage of organizations in each industry has failed to realize such analytics success. Past studies have identified the antecedents of success and failure of business analytics projects. Executive Sponsorship was rated as among the top-success enablers. There has been limited attention to how executive sponsors influence business analytics success. To demystify Executive Sponsor’s role, we applied Deductive Thematic Analysis to the narratives recorded from key informants for 21 successful and 20 failed analytics projects covering 14 industries. This study identified four influence domains that span the project lifecycle and recommends the Executive Sponsor’s involvement in each of these. The influence domains are Project Initiation, Organization culture, User trust, and Deployment enablers. Our informants found the influence domains comprehensive to explain the outcomes of their projects. The influence domains can help articulate the role of the Executive Sponsor better and set expectations. They can also be used to analyze projects, identify causes of failure, and plan corrective actions.","PeriodicalId":45565,"journal":{"name":"Journal of Decision Systems","volume":"32 1","pages":"409 - 438"},"PeriodicalIF":3.4,"publicationDate":"2022-04-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48826716","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
Value creation from analytics with limited data: a case study on the retailing of durable consumer goods 从有限数据的分析中创造价值:以耐用消费品零售为例
IF 3.4
Journal of Decision Systems Pub Date : 2022-04-07 DOI: 10.1080/12460125.2022.2059172
K. Hopf, Andreas Weigert, T. Staake
{"title":"Value creation from analytics with limited data: a case study on the retailing of durable consumer goods","authors":"K. Hopf, Andreas Weigert, T. Staake","doi":"10.1080/12460125.2022.2059172","DOIUrl":"https://doi.org/10.1080/12460125.2022.2059172","url":null,"abstract":"ABSTRACT Companies are pinning high hopes on competitive advantages through data analytics. So far, value gains through analytics have been demonstrated for IT-heavy and data-rich business areas. Yet, research has paid little attention to value creation through data analytics in the plethora of companies with limited data (i.e. having transactions in the hundreds and attributes in the tens). Building on the literature of big data value creation and the resource-based view, we carried out an in-depth analytics case study with a retailer of renewable energy systems. Firms in this business area operate with expensive but few sales, so their available data are notoriously limited. Our findings demonstrate that data analytics capabilities and value creation mechanisms (democratise, contextualise, experiment with data, and execute data insights) are also effective in situations with limited data. Practice and research should therefore put not only emphasis on the volume and the variety of data but also on contextual factors related to managers (e.g. clear strategy, vision, leadership) and all employees (e.g. openness for agile working mode, data awareness).","PeriodicalId":45565,"journal":{"name":"Journal of Decision Systems","volume":"32 1","pages":"289 - 325"},"PeriodicalIF":3.4,"publicationDate":"2022-04-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42795430","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: 7
Success factors for managing the SSBI challenges of the AQUIRE framework 管理AQUIRE框架的SSBI挑战的成功因素
IF 3.4
Journal of Decision Systems Pub Date : 2022-03-23 DOI: 10.1080/12460125.2022.2057006
Christian Lennerholt, J. V. Laere, Eva Söderström
{"title":"Success factors for managing the SSBI challenges of the AQUIRE framework","authors":"Christian Lennerholt, J. V. Laere, Eva Söderström","doi":"10.1080/12460125.2022.2057006","DOIUrl":"https://doi.org/10.1080/12460125.2022.2057006","url":null,"abstract":"ABSTRACT Self-service business intelligence (SSBI) enables all users, including those with limited technical skills, to perform business intelligence (BI) tasks without the support of BI experts. SSBI reduces pressure on BI experts, gives more freedom to self-reliant users and speeds up decision-making. Recent research has illustrated how organisations experience numerous challenges when trying to obtain SSBI benefits. The AQUIRE framework organises 37 identified SSBI challenges in five categories: A ccess and use of data, Data Q uality, U ser I ndependence, creating R eports and E ducation. SSBI literature does poorly address how these challenges can be tackled. This research study aimed to identify strategies on how to manage those 37 SSBI challenges. The performed case study includes 24 semi-structured interviews with respondents from two organisations which have been heavily involved in SSBI implementation. The results reveal how nine identified SSBI success factors are related to the 37 AQUIRE challenges and how they can be addressed over time.","PeriodicalId":45565,"journal":{"name":"Journal of Decision Systems","volume":"32 1","pages":"491 - 512"},"PeriodicalIF":3.4,"publicationDate":"2022-03-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45564545","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
Affected but not involved: Two-scenario based investigation of individuals’ attitude towards decision support systems based on the example of the video assistant referee 受影响但未参与：以视频助理裁判为例，对个人对决策支持系统的态度进行两种情景调查
IF 3.4
Journal of Decision Systems Pub Date : 2022-02-27 DOI: 10.1080/12460125.2022.2041274
Julian Märtins, D. Westmattelmann, G. Schewe
{"title":"Affected but not involved: Two-scenario based investigation of individuals’ attitude towards decision support systems based on the example of the video assistant referee","authors":"Julian Märtins, D. Westmattelmann, G. Schewe","doi":"10.1080/12460125.2022.2041274","DOIUrl":"https://doi.org/10.1080/12460125.2022.2041274","url":null,"abstract":"ABSTRACT To fully realize the benefits of Decision Support Systems (DSS), it is important to investigate factors influencing individuals who are affected by the DSS’ decision but are not involved in decision-making. An example of such DSS is the Video Assistant Referee (VAR) in professional football. Drawing on transparency and justice research, we examined the role of transparency, procedural justice, and social influence on individuals’ attitudes towards the VAR. A quantitative vignette-based approach (N = 824) using two scenarios (fans watching from home/in stadiums) was chosen. Results indicate that all variables are higher in the home setting. Structural equation modelling revealed that transparency, procedural justice, and social influence significantly impact individual’s attitude towards the VAR. Multigroup analyses showed that the effect size of one transparency dimension is significantly stronger at home, while social influence is stronger in stadiums. To further interpret the findings, we conducted twelve semi-structured interviews among football fans.","PeriodicalId":45565,"journal":{"name":"Journal of Decision Systems","volume":"32 1","pages":"384 - 408"},"PeriodicalIF":3.4,"publicationDate":"2022-02-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46080977","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
首页 上一页 下一页 尾页
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整，为了账户安全，请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
请完成安全验证×
相关产品
×
本文献相关产品
联系我们：info@booksci.cn Book学术提供免费学术资源搜索服务，方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号：481959085
Book学术官方微信