DECISION SCIENCES最新文献

{"title":"Alternative information processing mechanisms in hospital supply chains: Impact on cost, quality, and patient satisfaction","authors":"Xiaosong (David) Peng,&nbsp;Barbara Flynn,&nbsp;Arunachalam Narayanan,&nbsp;Raymond Fan","doi":"10.1111/deci.12556","DOIUrl":"10.1111/deci.12556","url":null,"abstract":"<p>Hospitals are under tremendous pressure to improve multiple performance dimensions that may be at odds, including cost containment, clinical quality, and patient satisfaction. The need to improve performance on multiple fronts is compounded by sources of uncertainty that include upstream diversity of supply chain (SC) partners, internal diversity of clinical specialties provided, and downstream diversity of patient conditions. Information processing theory (IPT) suggests two strategies for dealing with uncertainty: reduce the amount of information elevated to higher levels for processing and accommodate the amount of information by increasing information processing at other levels. We apply IPT to investigate (i) the relationship between the two information processing strategies in a hospital's SC and its cost containment, clinical quality, and patient satisfaction performance, and (ii) how these relationships may be moderated by diversity in the hospital's SC partners, clinical specialties, and patients, the common sources of uncertainty in hospital SCs. These questions were examined using regression analysis of primary data from acute care hospitals matched with secondary data from the Centers for Medicare and Medicaid Services, American Hospital Association and the Agency for Healthcare Research and Quality measuring hospital operating characteristics and performance. The analysis yielded several important findings: (i) while a slack resources strategy (uncertainty reduction) is effective for improving patient satisfaction performance, it is ineffective for reducing cost, (ii) a lateral relations strategy (uncertainty accommodation) is effective in improving all three performance dimensions, and (iii) these relationships are moderated differentially by the three diversity dimensions only for lateral relations. These findings offer important managerial insights about hospitals’ efforts to improve potentially conflicting performance outcomes and suggest interesting opportunities for future research applying IPT to this important topic.</p>","PeriodicalId":48256,"journal":{"name":"DECISION SCIENCES","volume":"54 5","pages":"494-513"},"PeriodicalIF":5.5,"publicationDate":"2022-01-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42170375","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}

{"title":"On the creation of free-standing emergency departments by hospitals—Some insights","authors":"Nitish Patidar,&nbsp;Kang Bok Lee,&nbsp;Robert Weech-Maldonado,&nbsp;Rekha Prabhu Bailur,&nbsp;Shashank Rao","doi":"10.1111/deci.12557","DOIUrl":"10.1111/deci.12557","url":null,"abstract":"<p>Emergency departments (EDs) are an integral part of many acute care hospitals. Recently, however, hospitals have been increasingly experimenting with a new type of ED, for example, freestanding emergency departments (FSEDs). These are EDs that are physically separate from acute care hospitals but provide many of the same services provided by traditional EDs. Because of this geographic decoupling between the parent hospital and the FSED, hospitals can potentially reach out and provide services to user groups that may otherwise have been located too far away to serve. While this sounds good in theory, some have argued that FSEDs often get located in geographically proximate markets, rather than truly underserved areas, thereby exacerbating health care inequities. The current study investigates hospitals setting up FSEDs and examines their accrued business impacts to the parent hospital. By gathering a panel dataset covering several years of FSED openings and hospital performance, we examine how <i>market share</i> and <i>operating margins</i> of parent hospitals are impacted when they set up FSEDs. Results indicate that while there are some positive performance implications for hospitals who create FSEDs, a majority of these benefits are seen only for the first FSED created. We contend that this finding is driven by the fact that FSEDs are unlikely to be able to truly reach out to untapped populations, on account of their inherent nature. In conclusion, we question whether FSEDs are indeed a scalable approach to increasing health care access and reach.</p>","PeriodicalId":48256,"journal":{"name":"DECISION SCIENCES","volume":"54 6","pages":"596-614"},"PeriodicalIF":5.5,"publicationDate":"2022-01-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46712403","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}

{"title":"Seeking survivals under COVID-19: The WhatsApp platform's shopping service operations","authors":"Xiaoyan Xu,&nbsp;Tana Siqin,&nbsp;Sai-Ho Chung,&nbsp;Tsan-Ming Choi","doi":"10.1111/deci.12552","DOIUrl":"10.1111/deci.12552","url":null,"abstract":"<p>Under COVID-19 outbreak, retail operations are seriously threatened. There are lots of cases in which physical stores basically have to stop operating. This creates problems to the firm, its employees, and consumers. Recently, Timberland in Hong Kong and various other brands such as Joyce Boutiques and The North Face have established the “<i>WhatsApp Shopping Service Operation</i>” (WSO) in which consumers can shop by using the well-established communication tool “WhatsApp.” Salespeople in stores provide services via WhatsApp to assist the consumers without them having to visit the stores. We collect primary data from real-world cases and theoretically explore WSO. We build a standard consumer utility based model to derive the firm's optimal pricing and employment decisions under different cases. We evaluate the impacts of COVID-19 and values of WSO implementation from the “<i>Worker-Consumer-Company</i>” (WCC) welfare perspective. Our results interestingly imply that WSO is superior to the traditional online channel in terms of keeping business under the pandemic; meanwhile, implementing WSO can help stimulate demand in the physical store under COVID-19. However, whether WSO is effective to help increase the firm's profit and WCC welfare depends on both consumer type' distribution and consumers’ fear of infection. When consumers’ fear of infection is very polarized (i.e., extremely low or high), WSO is not recommended. We further propose that the government's subsidy for WSO implementation could be an effective way to help the firm improve its profit and WCC welfare. We also check the robustness of our study by extending the model to consider endogenous consumer type, endogenous service level, and WCC-welfare-oriented firm.</p>","PeriodicalId":48256,"journal":{"name":"DECISION SCIENCES","volume":"54 4","pages":"375-393"},"PeriodicalIF":5.5,"publicationDate":"2021-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/deci.12552","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47551380","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}

{"title":"Analytics for multiperiod risk-averse newsvendor under nonstationary demands","authors":"Yugang Yu,&nbsp;Ting Wang,&nbsp;Ye Shi","doi":"10.1111/deci.12553","DOIUrl":"https://doi.org/10.1111/deci.12553","url":null,"abstract":"<p>Based on the practice of a Chinese food manufacturer, this article develops a predictive and prescriptive analytics research on a multiperiod risk-averse newsvendor problem with nonstationary demands. We start with a predictive analysis that aims to transform the nonstationary demand series into a predictable stationary one, and then develop inventory models for deriving prescriptive decisions based on transformed stationary series. When transforming the nonstationary demand series, we consider three commonly used methods—detrending (DET), differencing (DIT), and percentage change transformations (PCT)—which all effectively convert nonstationary demand series into stationary ones. These methods not only have desired simplicity and interpretability but also provide better predictive performance than the autoregressive integrated moving (ARIMA) process. Moreover, we develop an ensemble of the three transformation methods following the model averaging approach, which provides comparable predictions as the machine learning approaches. When developing prescriptive inventory decisions, we construct dynamic risk-averse newsvendor models for the three methods having different structures, and find that the optimal order quantities under DET and DIT monotonically change as the newsvendor becomes more risk-averse, but the optimal order quantity under PCT may not. Similarly, we also develop a heuristic ensemble of the inventory decisions under the three methods, which can lead to better profit performance. An extensive numerical simulation based on the manufacturer's historical data set shows that the heuristic ensemble inventory decision outperforms the sole decision generated by every transformation method and achieves an average performance improvement up to 92.25%. Several extensions are also considered to confirm the robustness of our findings.</p>","PeriodicalId":48256,"journal":{"name":"DECISION SCIENCES","volume":"54 5","pages":"554-572"},"PeriodicalIF":5.5,"publicationDate":"2021-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"50152110","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}

{"title":"Competitive location-based and trajectory-based mobile targeting","authors":"Asunur Cezar,&nbsp;Srinivasan Raghunathan","doi":"10.1111/deci.12548","DOIUrl":"https://doi.org/10.1111/deci.12548","url":null,"abstract":"<p>Advances in mobile analytics have enabled sellers to target mobile consumers using geolocation and the more granular mobile trajectory information. Using a game-theoretical model of a context in which two competing sellers choose to target mobile consumers using location or trajectory, we examine the long-term implications for sellers, consumers, and the social welfare. We show that mobile targeting, either location-based or trajectory-based, by both sellers indeed emerges as the equilibrium; however, trajectory-based targeting need not always emerge as the equilibrium. For instance, location-based targeting emerges as the equilibrium if the consumers’ disutility from a consumption delay (i.e., time cost) is low relative to their transportation cost. The primary driver of our findings relates to the role of location and travel direction information in exposing (or masking) the degree of consumer heterogeneity and the competitive advantage a seller has over the other in attracting a consumer.</p>","PeriodicalId":48256,"journal":{"name":"DECISION SCIENCES","volume":"54 2","pages":"177-192"},"PeriodicalIF":5.5,"publicationDate":"2021-11-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"50126555","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}

{"title":"Using forecasting to evaluate the impact of COVID-19 on passenger air transport demand","authors":"Xishu Li,&nbsp;Maurits de Groot,&nbsp;Thomas Bäck","doi":"10.1111/deci.12549","DOIUrl":"10.1111/deci.12549","url":null,"abstract":"<p>The COVID-19 pandemic caused a drastic drop in passenger air transport demand due to two forces: supply restriction and demand depression. In order for airlines to recover, the key is to identify which force they are fighting against. We propose a method for separating the two forces of COVID-19 and evaluating the respective impact on demand. Our method involves dividing passengers into different segments based on passenger characteristics, simulating different scenarios, and predicting demand for each passenger segment in each scenario. Comparing the predictions with each other and with the real situation, we quantify the impact of COVID-19 associated with the two forces, respectively. We apply our method to a dataset from Air France–KLM and show that from March 1st to May 31st 2020, the pandemic caused demand at the airline to drop 40.3% on average for passengers segmented based on age and purpose of travel. The 57.4% of this decline is due to demand depression, whereas the other 42.6% is due to supply restriction. In addition, we find that the impact of COVID-19 associated with each force varies between passenger segments. The demand depression force impacted business passengers between age 41 and 60 the most, and it impacted leisure passengers between age 20 and 40 the least. The opposite result holds for the supply restriction force. We give suggestions on how airlines can plan their recovery using our results and how other industries can use our evaluation method.</p>","PeriodicalId":48256,"journal":{"name":"DECISION SCIENCES","volume":"54 4","pages":"394-409"},"PeriodicalIF":5.5,"publicationDate":"2021-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8653037/pdf/DECI-9999-0.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"39719200","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}

{"title":"What affects consumer behavior in mobile health professional diagnosis applications","authors":"Panagiota Galetsi,&nbsp;Korina Katsaliaki,&nbsp;Sameer Kumar,&nbsp;Mark Ferguson","doi":"10.1111/deci.12550","DOIUrl":"10.1111/deci.12550","url":null,"abstract":"<p>In recent years, an increasing number of health diagnosis mobile apps have been developed and marketed to assist health professionals in the process of diagnosis. Yet, there is limited knowledge about the factors and app characteristics that affect their selection from health professionals. In this study, we investigate the specific apps’ market that is addressed to medical professionals/students in order to explain how the specific consumers’ behavior is affected by certain app characteristics and attributes. We based our model on the combination of two theoretical models, the Diffusion of Innovation (DOI) and the Technology Acceptance Model (TAM) to investigate the criteria for the intention of adoption of mobile apps in clinical routine. An evaluation framework (MARS) has been used to measure the quality of each app and text processing has been applied to retrieve and code additional informative variables from the descriptions and users’ reviews. To investigate the relationships between app quality, downloads and users’ ratings we used multiple linear regression statistical analysis. The results showed that the number of apps downloads is positively related to users’ usefulness, star rating, and app quality while downloads are also correlated to the number of reviews, long app description, years since first release, and in-app ads. This study contributes to the information systems and mobile health literature in providing a better understanding of which quality characteristics of mobile apps have an impact on their popularity and evaluation and how their functionalities and quality affect the professionals’ decision process.</p>","PeriodicalId":48256,"journal":{"name":"DECISION SCIENCES","volume":"54 3","pages":"315-333"},"PeriodicalIF":5.5,"publicationDate":"2021-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47923088","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}

{"title":"How does supplier CSR performance help to expand exchange relationships with major buyers? The moderating role of supply-side and demand-driven uncertainty","authors":"Xiaojin Liu,&nbsp;Ying Kou,&nbsp;Jeff Shockley,&nbsp;Jeffery S. Smith","doi":"10.1111/deci.12551","DOIUrl":"10.1111/deci.12551","url":null,"abstract":"<p>Most studies of corporate social responsibility (CSR) performance in a supply chain context have been conducted from the buyer's perspective. Few have paid attention to how suppliers leverage this kind of performance to expand exchange relationships with major customers. From a resource dependence and social exchange perspective, this article specifically examines whether two supplier CSR performance dimensions—<i>environmental</i> and <i>product</i> performance—can serve as a mechanism to expand a supplier's relationships with a smaller number of major buyers, where its increasing exchange dependence often measures this factor. Moreover, these dependent relationships may further develop and change under different conditions of uncertainty. Using large-scale longitudinal data to test the proposed model, we find empirical evidence that a supplier's environmental and product performance relate positively to greater customer dependence and improved financial performance across diverse sets of industries. However, the findings also reveal that both demand-driven and supply-side uncertainty can weaken the effect. Specifically, the positive effect of environmental performance tends to weaken in the face of supply-side uncertainty, whereas the positive effect of product performance tends to weaken amid demand-driven uncertainty. Accordingly, we note important nuances and contingencies for suppliers to consider when considering how investments in these CSR performance dimensions affect exchange dependence.</p>","PeriodicalId":48256,"journal":{"name":"DECISION SCIENCES","volume":"54 3","pages":"334-357"},"PeriodicalIF":5.5,"publicationDate":"2021-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43163161","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}

{"title":"The behavioral agency model: Revised concepts and implications for operations and supply chain research","authors":"Luis R. Gomez-Mejia,&nbsp;Geoff Martin,&nbsp;Veronica H. Villena,&nbsp;Robert M. Wiseman","doi":"10.1111/deci.12547","DOIUrl":"10.1111/deci.12547","url":null,"abstract":"<div>\u0000 \u0000 <p>The COVID 19 crisis and geopolitical ruptures of recent years have highlighted the importance of operations and supply chain management (OSCM) to firms and society. How do OSCM executives make decisions under uncertainty, and how do they balance the competing needs of various stakeholders? The behavioral agency model (BAM), which has been widely used in the management literature, focuses on the executive as the unit of analysis, like the behavioral science research in which it is embedded; by contrast, much of the supply chain risk management research has examined risk at the level of the firm. We review BAM literature and its core constructs, refine its original predictions, identify OSCM executive decision contexts that could take advantage of BAM, and highlight research opportunities using BAM. We aim to provide a platform for further risk research applying BAM in the domain of OSCM executive decision-making.</p>\u0000 </div>","PeriodicalId":48256,"journal":{"name":"DECISION SCIENCES","volume":"52 5","pages":"1026-1038"},"PeriodicalIF":5.5,"publicationDate":"2021-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79945367","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}

{"title":"Product and service innovation with customer recognition","authors":"Krista J. Li","doi":"10.1111/deci.12546","DOIUrl":"10.1111/deci.12546","url":null,"abstract":"<p>Product and service innovation is important for brands to succeed in a competitive marketplace. As information technology advances, customer recognition becomes a growing industry trend; that is, brands track customers' purchase history, recognize and price discriminate between repeat and new customers.The trend of customer recognition has changed the nature and intensity of competition between brands. In this article, we examine how customer recognition and the associated changes in competition affect brands' incentives to invest in product and service innovation. We find that when brands have similar equity, customer recognition increases brands' incentives to invest in product and service innovation. However, when brands have sufficiently different equity, customer recognition leads the stronger brand to invest more and the weaker brand to invest less in product and service innovation. In addition, extant literature suggests that customer recognition reduces brand profits. In contrast, we find that customer recognition can increase the weaker brand's profit but decreases it more for the stronger brand. Thus, collecting customers' purchase history data for customer recognition can be beneficial for weaker brands but detrimental for stronger brands.</p>","PeriodicalId":48256,"journal":{"name":"DECISION SCIENCES","volume":"55 1","pages":"17-32"},"PeriodicalIF":5.5,"publicationDate":"2021-08-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44781780","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}