DECISION SCIENCES最新文献

Managing context in Six Sigma projects: New themes from a methods-only replication 管理六西格玛项目中的上下文：来自纯方法复制的新主题

IF 2.5 4区管理学

DECISION SCIENCES Pub Date : 2025-02-05 DOI: 10.1111/deci.70000

Tim Baker, Thamer N. Almutairi, Xun Xu, Lizao Zhang, Phillip W. Witt

{"title":"Managing context in Six Sigma projects: New themes from a methods-only replication","authors":"Tim Baker, Thamer N. Almutairi, Xun Xu, Lizao Zhang, Phillip W. Witt","doi":"10.1111/deci.70000","DOIUrl":"https://doi.org/10.1111/deci.70000","url":null,"abstract":"We conduct a methods-only replication of Nair, Malhotra, and Ahire's study by analyzing 13 Six Sigma (SS) projects from nine small- to medium-sized enterprises (SMEs). Nair et al. analyzed 10 SS projects from seven large firms and found support for three propositions associating themes (i.e., expanded scope of analysis, clarity of metrics, and cross-functional integration) contributing to SS project success, as well as 10 propositions associating project contextual factors, project management elements, and themes. Our replication provides support for two of the original propositions, partial support for five original propositions, and no support for five original propositions. Note that one of the 13 original propositions from Nair et al. could not be replicated given data restrictions. These replication results suggest that SS project success and their associations with project management elements and project context are contingent on firm size. Importantly, for SMEs, unlike larger firms, expanded scope of analysis, clarity of metrics, and cross-functional integration are not important contributing factors to SS project success in SMEs. Instead, we derived two new themes (i.e., time-to-completion and prioritization) and seven corresponding propositions that appear to better explain how SMEs can manage SS project context to improve SS project performance. These two new themes illustrate the need for SS project teams within SMEs to be amenable to (a) emphasizing quick wins and (b) being more selective in pursuing process drivers for improvement.","PeriodicalId":48256,"journal":{"name":"DECISION SCIENCES","volume":"56 4","pages":"383-397"},"PeriodicalIF":2.5,"publicationDate":"2025-02-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144935159","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Mining social media data via supervised topic model: Can social media posts inform customer satisfaction? 通过监督主题模型挖掘社交媒体数据：社交媒体帖子是否能告知客户满意度？

IF 2.5 4区管理学

DECISION SCIENCES Pub Date : 2025-01-15 DOI: 10.1111/deci.12660

Yinghui Huang, Mei Li, Fugee Tsung, Xiangyu Chang

引用次数: 0

Exploring the cost–carbon trade-off in using a mixed fleet of hydrogen trucks and diesel trucks 探索使用氢燃料卡车和柴油卡车混合车队的成本-碳权衡

IF 2.5 4区管理学

DECISION SCIENCES Pub Date : 2024-12-22 DOI: 10.1111/deci.12659

Siqiang Guo, Erhan Kutanoglu, Shadi Goodarzi, Manjeet Singh

{"title":"Exploring the cost–carbon trade-off in using a mixed fleet of hydrogen trucks and diesel trucks","authors":"Siqiang Guo, Erhan Kutanoglu, Shadi Goodarzi, Manjeet Singh","doi":"10.1111/deci.12659","DOIUrl":"https://doi.org/10.1111/deci.12659","url":null,"abstract":"Hydrogen trucks (HTs) offer promising potential for decarbonizing the transportation sector. Based on current technologies, they have significant advantages over electric trucks (ETs) in terms of range, refueling time, and performance in cold conditions. However, HTs are costly, and there are insufficient hydrogen refueling stations (HRSs). Gradually integrating HTs into the existing diesel truck (DT) fleet is a practical approach for many freight logistics companies. In this article, we formulate a mathematical model to route a mixed fleet of HTs and DTs, and we propose an algorithm called the curve descent search (CDS) to generate the Pareto set based on cost and carbon emissions. We find that CDS can generate better Pareto sets compared to existing algorithms in the literature. We use CDS to comprehensively explore the cost–carbon trade-off in using a mixed fleet. This question differentiates our study from previous research and is motivated by discussions with one of the largest third-party logistics companies in North America. Detailed experiments reveal important managerial insights, such as: (1) Achieving a significant reduction in carbon emissions (e.g., a 30% reduction compared to the current diesel fleet) does not need a very dense refueling infrastructure; (2) The cost–carbon trade-off for mixed fleets is relatively insensitive to variations in customer density and demand, suggesting that HTs can be applicable across a wide range of scenarios (including different sectors or regions); and (3) Although ETs are cheaper to use compared to HTs, their shorter range limits their competitiveness in terms of decarbonization efficiency and customer service.","PeriodicalId":48256,"journal":{"name":"DECISION SCIENCES","volume":"56 4","pages":"341-360"},"PeriodicalIF":2.5,"publicationDate":"2024-12-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144935501","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Explanation seeking and anomalous recommendation adherence in human-to-human versus human-to-artificial intelligence interactions 在人与人和人与人工智能的互动中寻求解释和异常推荐的遵从性

IF 2.8 4区管理学

DECISION SCIENCES Pub Date : 2024-11-21 DOI: 10.1111/deci.12658

Tracy Jenkin, Stephanie Kelley, Anton Ovchinnikov, Cecilia Ying

{"title":"Explanation seeking and anomalous recommendation adherence in human-to-human versus human-to-artificial intelligence interactions","authors":"Tracy Jenkin, Stephanie Kelley, Anton Ovchinnikov, Cecilia Ying","doi":"10.1111/deci.12658","DOIUrl":"https://doi.org/10.1111/deci.12658","url":null,"abstract":"The use of artificial intelligence (AI) in operational decision-making is growing, but individuals can display algorithm aversion, preventing adherence to AI system recommendations—even when the system outperforms human decision-makers. Understanding why such algorithm aversion occurs and how to reduce it is important to ensure AI is fully leveraged. While the ability to seek an explanation from an AI may be a promising approach to mitigate this aversion, there is conflicting evidence on their benefits. Based on several behavioral theories, including Bayesian choice, loss aversion, and sunk cost avoidance, we hypothesize that if a recommendation is perceived as an anomalous loss, it will decrease recommendation adherence; however, the effect will be mediated by explanations and differ depending on whether the advisor providing the recommendation and explanation is a human or an AI. We conducted a survey-based lab experiment set in the online rental market space and found that presenting a recommendation as a loss anomaly significantly reduces adherence compared to presenting it as a gain, however, this negative effect can be dampened if the advisor is an AI. We find explanation-seeking has a limited impact on adherence, even after considering the influence of the advisor; we discuss the managerial and theoretical implications of these findings.","PeriodicalId":48256,"journal":{"name":"DECISION SCIENCES","volume":"55 6","pages":"653-668"},"PeriodicalIF":2.8,"publicationDate":"2024-11-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/deci.12658","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142861917","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Fine-tuning of artificial intelligence managers' logic in a supply chain with competing retailers 在有竞争零售商的供应链中对人工智能管理人员的逻辑进行微调

IF 2.8 4区管理学

DECISION SCIENCES Pub Date : 2024-11-12 DOI: 10.1111/deci.12657

Yue Li, Ruiqing Zhao, Xiang Li, Tsan-Ming Choi

{"title":"Fine-tuning of artificial intelligence managers' logic in a supply chain with competing retailers","authors":"Yue Li, Ruiqing Zhao, Xiang Li, Tsan-Ming Choi","doi":"10.1111/deci.12657","DOIUrl":"https://doi.org/10.1111/deci.12657","url":null,"abstract":"Today, with the advance of artificial intelligence, companies in the real world are using AI as managers to make operational decisions, who can respond quickly to market shocks and whose logic can be fine-tuned to programmed pessimism/optimism, that is, underestimating/overestimating the market. The introduction of AI managers poses new challenges to supply chain management, and how to manage AI managers warrants further exploration. We investigate the optimal AI manager fine-tuning strategies in a supply chain consisting of one manufacturer and two competing retailers, each operated by an AI manager in the face of an uncertain market shock. We establish the manufacturer–retailer AI manager fine-tuning game, where the manufacturer and two retailers endogenously decide whether to fine-tune their AI managers' logic. The market may suffer an uncertain shock, and once the shock occurs, the AI managers' logic settings and price decisions can be quickly adjusted. We find that the manufacturer would never fine-tune the AI manager, while the retailers may fine-tune their AI managers to programmed optimism. Notably, AI manager's fine-tunability only benefits the retailers and harms the manufacturer, entire supply chain, consumers, and social welfare. To make AI manager's fine-tunability beneficial to all participants, that is, to reach a win–win–win situation, we design two incentive mechanisms, retailer pessimism incentive mechanism and mutual pessimism incentive mechanism (MPIM), where MPIM can lead to the win–win–win situation. Further, we endogenize the compensation, endogenous retailer pessimism compensation and endogenous mutual pessimism compensation, both achieving the win–win–win outcome. We also make several extensions and provide suggestions for supply chain firms to fine-tune their AI managers' logic.","PeriodicalId":48256,"journal":{"name":"DECISION SCIENCES","volume":"55 6","pages":"639-652"},"PeriodicalIF":2.8,"publicationDate":"2024-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142860789","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

AI in business research 商业研究中的人工智能

IF 2.8 4区管理学

DECISION SCIENCES Pub Date : 2024-11-06 DOI: 10.1111/deci.12655

Zhi Cao, Meng Li, Paul A Pavlou

引用次数: 0

Voice or text? The role of physician media choice on patient experience in online medical communities 语音还是短信？医生媒介选择对在线医疗社区患者体验的作用

IF 2.8 4区管理学

DECISION SCIENCES Pub Date : 2024-11-06 DOI: 10.1111/deci.12654

Anfei Xia, Sandun C. Perera, Muhammad U. Ahmed, Jianying Tang, Jian-Jun Wang

{"title":"Voice or text? The role of physician media choice on patient experience in online medical communities","authors":"Anfei Xia, Sandun C. Perera, Muhammad U. Ahmed, Jianying Tang, Jian-Jun Wang","doi":"10.1111/deci.12654","DOIUrl":"https://doi.org/10.1111/deci.12654","url":null,"abstract":"Online medical communities (OMCs) are a type of online healthcare, in which physician-patient interaction can be comprised of a variety of media options such as pictures, text, and voice. These media formats are often used to create a personalized patient experience in AI-driven conversational healthcare platforms. To explore how physician media usage affects patient experience, we propose a counterfactual causal inference model using AI-driven data mining methods on 131,083 online consultation records and 7,666,111 messages sent by physicians from one of the largest OMCs in China. Our study reveals the negative impact of physician use of voice on patient experience, compared to text. Drawing upon social support theory, we identify the mechanism by which physician media usage for voice produces a negative effect. The findings indicate that the negative effect of physicians' voice-media usage occurs mainly in low-risk disease conditions, by weakening the role of professional and emotional support. In contrast, in high-risk disease conditions, voice-media usage strengthens the role of professional and emotional support in improving the patient's experience. Our study is one of the first to focus on the social support attributes of the different media formats used in OMCs. We use advanced AI text-analysis algorithms to extract features related to social support in physician-patient conversations, and thus contribute to the use of AI in feature extraction for research.","PeriodicalId":48256,"journal":{"name":"DECISION SCIENCES","volume":"55 6","pages":"620-638"},"PeriodicalIF":2.8,"publicationDate":"2024-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142860196","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Unsupervised news analysis for enhanced high-frequency food insecurity assessment 用于加强高频率粮食不安全评估的无监督新闻分析

IF 2.8 4区管理学

DECISION SCIENCES Pub Date : 2024-10-13 DOI: 10.1111/deci.12653

Cascha van Wanrooij, Frans Cruijssen, Juan Sebastian Olier

引用次数: 0

Dependence, power imbalance, and value gains in business process outsourcing 业务流程外包中的依赖性、权力不平衡和价值收益

IF 2.5 4区管理学

DECISION SCIENCES Pub Date : 2024-10-13 DOI: 10.1111/deci.12652

Sukruth Suresh, T. Ravichandran

引用次数: 0

Identifying influential individuals and predicting future demand of chronic kidney disease patients 识别有影响的个体并预测慢性肾脏疾病患者的未来需求

IF 2.8 4区管理学

DECISION SCIENCES Pub Date : 2024-10-13 DOI: 10.1111/deci.12650

Zlatana D. Nenova, Valerie L. Bartelt

{"title":"Identifying influential individuals and predicting future demand of chronic kidney disease patients","authors":"Zlatana D. Nenova, Valerie L. Bartelt","doi":"10.1111/deci.12650","DOIUrl":"https://doi.org/10.1111/deci.12650","url":null,"abstract":"To ensure high service quality, managers need to personalize treatment options and meet their customer demands. Our research is motivated by the need to better anticipate and prepare for that. We develop a generalizable framework that is the first to address two healthcare risk management goals: (1) identifying high risk and stable-demand customers and (2) predicting the medium-term demand for services of stable-demand customers. We also design a model-agnostic method for variable evaluation. It can rank predictors based on their global impact, and highlight their effect on a model's local accuracy. In this research, we leverage a large electronic medical records' data set, which comprised of 48,344 chronic kidney disease patients treated across geographically diverse Veterans Affairs regions. Our framework indicates that although only 1.3% of the examined individuals are high-risk patients, it can correctly identify 35% of them and highlight an additional 8.9% as having important demand implications. Identifying high-risk individuals can be used in (1) monitoring prioritization, (2) patients' motivation, and (3) patients' stabilization. Furthermore, our model accurately predicts the monthly need for care of stable-demand individuals up to 3 years into the future and outperforms popular statistical and data mining models. This information is especially critical for hospital management in identifying future hiring needs.","PeriodicalId":48256,"journal":{"name":"DECISION SCIENCES","volume":"56 2","pages":"123-143"},"PeriodicalIF":2.8,"publicationDate":"2024-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/deci.12650","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143849117","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0