Service Science最新文献_第6页

Free Add-Ons in Services 免费附加服务

IF 2.3 4区管理学

Service Science Pub Date : 2022-08-31 DOI: 10.1287/serv.2022.0307

P. Gao, XingYu Fu, Haoyu Liu, Ying‐ju Chen

引用次数: 0

Adoption Factors of Digital Services—A Systematic Literature Review 数字服务的采用因素——系统文献综述

IF 2.3 4区管理学

Service Science Pub Date : 2022-08-22 DOI: 10.1287/serv.2022.0305

M. Paulus, Slawka Jordanow, J. Millemann

{"title":"Adoption Factors of Digital Services—A Systematic Literature Review","authors":"M. Paulus, Slawka Jordanow, J. Millemann","doi":"10.1287/serv.2022.0305","DOIUrl":"https://doi.org/10.1287/serv.2022.0305","url":null,"abstract":"In recent years, the diffusion of digital technologies in the service sector offers great potential for growth and success. Today, many companies are trying to launch new digital services on the market to realize this potential. Prior research concludes that the success of such services depends crucially on whether a consumer adopts or rejects them. Hence, by using the methodology of a systematic literature review, this paper identifies key factors that drive a consumer to adopt digital services. As a result of a subsequent classification, the present work distinguishes among three main categories. First are consumer-specific factors relating to individual predispositions, demographics, and awareness factors that can be attributed to the consumer. Second are situation-specific factors, representing the smallest category found, concerning the service environment, the context of service delivery, and situations in which consumers may find themselves before or during the use of digital services. Third are service-specific factors that are mainly determined by individual characteristics and features of these services, such as ease of use, usability, compatibility, and enjoyment. Hence, this study provides a comprehensive overview of determinants affecting consumer’s adoption behavior and suggests several opportunities for future research. Whereas the rich set of identified factors serves as a foundation, it further proposes to what responsible service executives should pay particular attention in order to succeed with digital services.","PeriodicalId":46249,"journal":{"name":"Service Science","volume":null,"pages":null},"PeriodicalIF":2.3,"publicationDate":"2022-08-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90355387","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: 1

Adaptive Design of Personalized Dose-Finding Clinical Trials 个性化剂量寻找临床试验的自适应设计

IF 2.3 4区管理学

Service Science Pub Date : 2022-07-21 DOI: 10.1287/serv.2022.0306

Saeid Delshad, A. Khademi

{"title":"Adaptive Design of Personalized Dose-Finding Clinical Trials","authors":"Saeid Delshad, A. Khademi","doi":"10.1287/serv.2022.0306","DOIUrl":"https://doi.org/10.1287/serv.2022.0306","url":null,"abstract":"A key and challenging step toward personalized/precision medicine is the ability to redesign dose-finding clinical trials. This work studies a problem of fully response-adaptive Bayesian design of phase II dose-finding clinical trials with patient information, where the decision maker seeks to identify the right dose for each patient type (often defined as an effective target dose for each group of patients) by minimizing the expected (over patient types) variance of the right dose. We formulate this problem by a stochastic dynamic program and exploit a few properties of this class of learning problems. Because the optimal solution is intractable, we propose an approximate policy by an adaptation of a one-step look-ahead framework. We show the optimality of the proposed policy for a setting with homogeneous patients and two doses and find its asymptotic rate of sampling. We adapt a number of commonly applied allocation policies in dose-finding clinical trials, such as posterior adaptive sampling, and test their performance against our proposed policy via extensive simulations with synthetic and real data. Our numerical analyses provide insights regarding the connection between the structure of the dose-response curve for each patient type and the performance of allocation policies. This paper provides a practical framework for the Food and Drug Administration and pharmaceutical companies to transition from the current phase II procedures to the era of personalized dose-finding clinical trials.","PeriodicalId":46249,"journal":{"name":"Service Science","volume":null,"pages":null},"PeriodicalIF":2.3,"publicationDate":"2022-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74545962","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: 2

How Artificial Intelligence Enhances Human Learning Abilities: Opportunities in the Fight Against COVID-19 人工智能如何增强人类学习能力:抗击COVID-19的机遇

IF 2.3 4区管理学

Service Science Pub Date : 2022-06-01 DOI: 10.1287/serv.2021.0289

C. Mele, Marialuisa Marzullo, Swapnil Morande, T. R. Spena

引用次数: 8

An Incentive Mechanism for Private Parking-Sharing Programs in an Imperfect Information Setting 不完全信息环境下私人停车共享的激励机制

IF 2.3 4区管理学

Service Science Pub Date : 2022-04-08 DOI: 10.1287/serv.2022.0303

Pengyu Yan, Xiaoqiang Cai, Feng Chu, Debing Ni, Heng He

引用次数: 5

Revenue Management of Group Service Considering Different Quality Levels and Stochastic Customer Patience 考虑不同质量水平和随机客户耐心的集团服务收益管理

IF 2.3 4区管理学

Service Science Pub Date : 2022-03-21 DOI: 10.1287/serv.2022.0302

Xuxun Lin, Haiyan Wang

{"title":"Revenue Management of Group Service Considering Different Quality Levels and Stochastic Customer Patience","authors":"Xuxun Lin, Haiyan Wang","doi":"10.1287/serv.2022.0302","DOIUrl":"https://doi.org/10.1287/serv.2022.0302","url":null,"abstract":"We consider a service that provides different quality levels to customers who are served in groups (referred to as “group service” (GS)). We consider stochastic customer patience and build a multitype service model to maximize service profit. First, we consider a fixed number of service personnel and decompose the model into several subproblems. We then transform the model into a service personnel allocation problem that can be efficiently solved. Furthermore, we use the water-filling theory, together with a dichotomy approach, to design the numerical algorithm to conduct a numerical test based on actual data. The main contributions of this study are as follows. First, we provide the service provider with a service capacity allocation mechanism that can determine the optimal choice of service quality levels, number of service groups of different quality levels, time length of the service registration period, and service prices. Second, we find that under scarce service capacity, the single-type service can be more profitable than the multitype service, and low-quality services have higher marginal profits than high-quality services. However, when service capacity increases to a certain level, the multitype service can be more profitable than the single-type service. Third, we construct a service capacity decision mechanism and demonstrate the influence of service quality on the total number of service personnel and service groups. The conclusions are potentially useful to GS service providers to effectively make better managerial decisions and improve service profits.","PeriodicalId":46249,"journal":{"name":"Service Science","volume":null,"pages":null},"PeriodicalIF":2.3,"publicationDate":"2022-03-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80181313","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

Service Design to Balance Waiting Time and Infection Risk: An Application for Elections During the COVID-19 Pandemic 平衡等待时间和感染风险的服务设计:COVID-19大流行期间选举的应用

IF 2.3 4区管理学

Service Science Pub Date : 2022-03-18 DOI: 10.1287/serv.2021.0290

Susana Mondschein,Marcelo Olivares,Fernando Ordóñez,Daniel Schwartz,Andres Weintraub,Ignacio Torres-Ulloa,Cristian Aguayo,Gianpiero Canessa

{"title":"Service Design to Balance Waiting Time and Infection Risk: An Application for Elections During the COVID-19 Pandemic","authors":"Susana Mondschein,Marcelo Olivares,Fernando Ordóñez,Daniel Schwartz,Andres Weintraub,Ignacio Torres-Ulloa,Cristian Aguayo,Gianpiero Canessa","doi":"10.1287/serv.2021.0290","DOIUrl":"https://doi.org/10.1287/serv.2021.0290","url":null,"abstract":"The COVID-19 pandemic has caused great disruption to the service sector, and it has, in turn, adapted by implementing measures that reduce physical contact among employees and users; examples include home-office work and the setting of occupancy restrictions at indoor locations. The design of services in the context of a pandemic requires balancing between two objectives: (i) special measures must be implemented to maintain physical separation among people to reduce the risk of infection, and (ii) these sanitary measures also reduce process capacity, thereby increasing the waiting times of users. We study this problem in the context of election processes, in which balancing waiting time with public safety is of first order relevance to ensuring voter turnout, using as a real-world application the Chilean 2020 national referendum. Analyzing this problem requires a multidisciplinary approach that consists of integrating randomized experiments to measure how voters weigh infection risk relative to waiting time and stochastic modeling/discrete event simulation to prescribe recommendations for the service design—specifically setting capacity limits to trade off between overcrowding and process efficiency. Overall, our results shows that infection risk is an important factor affecting voter turnout during a pandemic and that capacity limits can be a useful design tool to balance these risks with other service quality measures. Some of these findings were considered in the guidelines that Servel provided to manage capacity and voter arrival patterns at voting centers.","PeriodicalId":46249,"journal":{"name":"Service Science","volume":null,"pages":null},"PeriodicalIF":2.3,"publicationDate":"2022-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138517824","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

Service Design to Balance Waiting Time and Infection Risk: An Application for Elections During the COVID-19 Pandemic 平衡等待时间和感染风险的服务设计:COVID-19大流行期间选举的应用

IF 2.3 4区管理学

Service Science Pub Date : 2022-03-18 DOI: 10.2139/ssrn.3734699

Susana V. Mondschein, M. Olivares, F. Ordóñez, Daniel Schwartz, A. Weintraub, Ignacio Torres-Ulloa, C. Aguayo, Gianpiero Canessa

{"title":"Service Design to Balance Waiting Time and Infection Risk: An Application for Elections During the COVID-19 Pandemic","authors":"Susana V. Mondschein, M. Olivares, F. Ordóñez, Daniel Schwartz, A. Weintraub, Ignacio Torres-Ulloa, C. Aguayo, Gianpiero Canessa","doi":"10.2139/ssrn.3734699","DOIUrl":"https://doi.org/10.2139/ssrn.3734699","url":null,"abstract":"The COVID-19 pandemic has caused great disruption to the service sector, and it has, in turn, adapted by implementing measures that reduce physical contact among employees and users; examples include home-office work and the setting of occupancy restrictions at indoor locations. The design of services in the context of a pandemic requires balancing between two objectives: (i) special measures must be implemented to maintain physical separation among people to reduce the risk of infection, and (ii) these sanitary measures also reduce process capacity, thereby increasing the waiting times of users. We study this problem in the context of election processes, in which balancing waiting time with public safety is of first order relevance to ensuring voter turnout, using as a real-world application the Chilean 2020 national referendum. Analyzing this problem requires a multidisciplinary approach that consists of integrating randomized experiments to measure how voters weigh infection risk relative to waiting time and stochastic modeling/discrete event simulation to prescribe recommendations for the service design—specifically setting capacity limits to trade off between overcrowding and process efficiency. Overall, our results shows that infection risk is an important factor affecting voter turnout during a pandemic and that capacity limits can be a useful design tool to balance these risks with other service quality measures. Some of these findings were considered in the guidelines that Servel provided to manage capacity and voter arrival patterns at voting centers.","PeriodicalId":46249,"journal":{"name":"Service Science","volume":null,"pages":null},"PeriodicalIF":2.3,"publicationDate":"2022-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75470400","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: 2

The Effects of COVID-19 on the Adoption of “On-the-Shelf Technologies”: Virtual Dressing Room Software and the Expected Rise of Third-Party Reverse-Logistics 新冠肺炎疫情对“现货技术”采用的影响:虚拟试衣间软件与第三方逆向物流的预期兴起

IF 2.3 4区管理学

Service Science Pub Date : 2022-03-08 DOI: 10.1287/serv.2022.0300

Amir Heiman, T. Reardon, D. Zilberman

{"title":"The Effects of COVID-19 on the Adoption of “On-the-Shelf Technologies”: Virtual Dressing Room Software and the Expected Rise of Third-Party Reverse-Logistics","authors":"Amir Heiman, T. Reardon, D. Zilberman","doi":"10.1287/serv.2022.0300","DOIUrl":"https://doi.org/10.1287/serv.2022.0300","url":null,"abstract":"The fashion industry is adapting to the new situation caused by the COVID-19 pandemic by changing the structure of its supply chain, much like other industries that experience exogenous shocks. The pandemic affected conditions of apparel retailers: downstream among consumers and upstream among suppliers. It induced retailers to accelerate the adoption of technologies to make their supply chains more flexible and resilient. Before COVID-19, the apparel industry had gradually adopted virtual dressing room (VDR) technologies and crowd wisdom software, both of which reduce the risk associated with online purchases. Apparel retailers also altered the structure of their supply chains by outsourcing product turns via third-party logistics providers. This article analyzes how changes in market demand and supply conditions following the outbreak of COVID-19 accelerated the adoption of VDR technologies. The analysis is based on a conceptual microeconomic model of adopting technologies and changes in the supply chain. We support our theoretical findings with business cases. Understanding the nonlinear relationships among changes in demand, supply chains, and retail technology adoption triggered by exogenous shocks is essential for managers and affects the quality of service.","PeriodicalId":46249,"journal":{"name":"Service Science","volume":null,"pages":null},"PeriodicalIF":2.3,"publicationDate":"2022-03-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73786538","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: 6

Operational Adaptation and Innovation During COVID-19: Lessons Learned from Consulting and a Road Map for the Future 2019冠状病毒病期间的业务适应与创新:咨询经验和未来路线图

IF 2.3 4区管理学

Service Science Pub Date : 2022-03-08 DOI: 10.1287/serv.2022.0301

Matthew C. Walsman

{"title":"Operational Adaptation and Innovation During COVID-19: Lessons Learned from Consulting and a Road Map for the Future","authors":"Matthew C. Walsman","doi":"10.1287/serv.2022.0301","DOIUrl":"https://doi.org/10.1287/serv.2022.0301","url":null,"abstract":"The COVID-19 pandemic fundamentally changed professional service firm (PSF) operations, most visible perhaps in the transition to a work from home economy. This study is a deep dive into management consulting (a common type of PSF) and describes the impact of the pandemic on short- and long-term operations. It uses a mixed-method approach to data collection (primary/secondary and quantitative/qualitative) to explain the operational adaptations that consulting firms made in response to the pandemic and the service innovations that resulted. During the pandemic, disruptions to client mix, customer experience, customer acquisition, and employee lifestyle triggered new organizational challenges in strategic planning, marketing, employee relations, and cost control. Firms responded by modifying operational characteristics (e.g., customer engagement, customization, knowledge intensity, and capital intensity). Successful operational adaptations led to service innovation (most commonly in product, strategy, delivery, and marketing). The study finishes with an exploration of how the lessons learned in management consulting may provide a road map for other PSFs and more generalized services in a post-pandemic world.","PeriodicalId":46249,"journal":{"name":"Service Science","volume":null,"pages":null},"PeriodicalIF":2.3,"publicationDate":"2022-03-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82997944","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: 3