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International Journal of Service Science and Management

Service Science and Management, Hot Articles

Enhancing Public Sector Digital Service Design through Pre-Commercial Procurement

Review Article of International Journal of Service Science and Management Enhancing Public Sector Digital Service Design through Pre-Commercial Procurement Petra Turkama (Petra Jeffery) Assistant Professor - Business Faculty of Business This paper addresses the challenges in designing and provisioning digital services for public sector. The ongoing digitalization of public services calls for scalable models for ecosystem based collaborative service design. However, while digitalization of services has been studied extensively from technical and financial viewpoints, less focus has been devoted for the collaborative service design processes. In this paper, we present a critical analysis of an alternative approach to public sector driven ecosystem based service design. The analysis is based on a deductive review of earlier research on ecosystem based digital service design, and an inductive theory making based on a representative case study applying pre-commercial-procurement practices. The paper contributes to existing knowledgebase on ecosystem based digital service design. The managerial contribution is innovative approach to public sector service design process. The paper concludes with call for further research and practice on innovative digital service design models for public sector. Keywords: Digital service design, Innovation ecosystem, Public-private-partnership, Pre-commercial procurement, Citizen engagement ...
Service Science and Management, Hot Articles

Subjective Well-being and Engagement in Leisure Sports Events：an Illustration of Annual 100km Hike in China

Research Article of International Journal of Service Science and Management Subjective Well-being and Engagement in Leisure Sports Events：an Illustration of Annual 100km Hike in China Xu Tao1, Liu Huiyue2* 1an undergraduate majoring in Tourism Management in Shenzhen Tourism College of Jinan University; No.6, EAST OCT Road, NanShan District, ShenZhen City, Guangdong Province, China. 2Ph.D., is an associate professor in Shenzhen Tourism College of Jinan University. Leisure sports events are increasingly popular in China and have an important economic and cultural impact on urban Chinese society. Taking the 100-kilometer Hike Through Shenzhen as an example, the purpose of the study was to investigate the relationship between the dimensions of service quality, leisure involvement, satisfaction and subjective well-being by using a structural equation modelling (SEM). Results show that environment, interaction and outcomes each has a significant positive impact on service quality. It was also found that service quality of the event has a significant impact on participants’ happiness by positively affecting their leisure involvement and satisfaction. Results suggest that marketing campaigns with an emotional component can deepen participants’ sense of identity in regard to events, enhance individuals’ physical well-being and promote a ‘healthy China’. Acknowledgments: This research was partially supported by grants from Guangdong Philosophy and Social Science Project (No. GD19CLJ02), Guangdong Soft Science Project (No.2019A101002021) and Shenzhen Philosophy and Social Science Project (SZ2020D013). We would like to thank the anonymous referee and the editor for very helpful and detailed comments. Keywords: Leisure sports events; service quality; leisure involvement; satisfaction; subjective well-being; structural equation model ...
Service Science and Management, Hot Articles

A Graph Oriented Based Recommender System for Financial Products and Services

Review Article of International Journal of Service Science and Management A Graph Oriented Based Recommender System for Financial Products and Services Olakunle Temitope., Awodele, O., Adekunle, Y.A., Eze, M.O., *Ebiesuwa Seun Department of Computer Science, Babcock University, Nigeria Recommender Systems are intelligent applications designed to assist the user in a decision-making process whereby user wants to choose one item amongst the potentially overwhelming set of alternative products or services. This research is aimed at developing an intelligent recommender system that provides high quality recommendations in the financial domain. Hashed and anonymized datasets (which are account statements) were acquired from online sources and bank customers. The acquired data was pre-processed using the Microsoft Excel 2016 and WEKA 3.8.3 data mining software. The K-nearest neighbor (KNN) algorithm was used to classify the dataset and train the model. The trained model was used to develop a recommender system using the Java 2 platform Enterprise Edition (J2EE). For effective management of the data and consideration of rapid increase in data growth, a graph-oriented database approach was proposed and utilized. The database management system used was the Neo4j. From the evaluation of the algorithms implemented in the recommender system taxonomy, the KNN algorithm recorded the best performance building the model in 0.3seconds with an accuracy of 89.8%. The fuzzy decision tree algorithm performed second best building the model within 0.48 seconds with an accuracy of 62.8%. The decision table algorithm performed poorly building the model in 3.9 seconds with an accuracy of 53%. However, the baseline accuracy of the dataset used was evaluated to be 62.75% of accuracy in 0.4 seconds. It is therefore recommended, as proposed in this study that the graph technology be used in developing recommender systems especially for institutions with massively growing data like the financial institutions. In addition, bank products ...
Service Science and Management, Hot Articles

Assessment of Airport Taxi Dispatching Based on Psychological Account Principle Decision Model — A Case Study of Shanghai pudong Airport

Research Article of International Journal of Service Science and Management Assessment of Airport Taxi Dispatching Based on Psychological Account Principle Decision Model -- A Case Study of Shanghai pudong Airport Zhong Zheng1*, Yanlin Li2, Qing Xu3, Yun Tang1, Hao Zhang1 1College of Electrical Engineering & New Energy, China Three Gorges University, Yichang, 443002, China. 2College of Science, China Three Gorges University, Yichang, 443002, China. 3College of Foreign Languages, China Three Gorges University, Yichang, 443002, China. In this paper, a decision model based on psychological account principle and a queuing theory model based on (M/ M/1) system are established to solve the problem of providing more reasonable choices for airport taxi drivers. Combined with reverse test method, control variable method and other methods to analyze the problem. Taking Shanghai pudong airport as an example, the error coefficient of critical decision value is calculated to be around 0.13, and the model is reasonable. It is concluded that weather has great influence on decision making and seasonal change has little influence on decision making. Keywords: Psychological account principle; Reverse test; Control variable method ...

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International Journal of Service Science and Management

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