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Towards Successful Cloud Ordering Service

Author

Listed:
  • Chen Yan-Kwang
  • Chen Yi-Ju

    (National Taichung University of Science and Technology, Department of Distribution Management, Taiwan)

  • Chiu Fei-Rung

    (Overseas Chinese University, Department of Hotel and M.I.C.E Management, Taiwan)

  • Wang Cheng-Yi

    (National Chung Hsing University, Institute of Technology Management, Taiwan)

Abstract

Background: The rise of cloud services has led to a drastic growth of e-commerce and a greater investment in development of new cloud services systems by related industries. For SaaS developers, it is important to understand customer needs and make use of available resources at as early as the system design and development stage. Objectives: This study integrates E-commerce Systems (ECS) Success model and Importance-Performance Analysis (IPA) into empirical research of the critical factors for cloud ordering system success. Methods/Approach: A survey research is conducted to collect data on customer perceptions of the importance and performance of each attribute of the particular cloud ordering service. The sample is further divided according to the degree of use of online shopping into high-usage users and low-usage users in order to explore their views regarding the system and generate adequate coping strategies. Results: Developers of online ordering systems can refer to the important factors obtained in this study when planning strategies of product/service improvement. Conclusions: The approach proposed in this study can also be applied to evaluation of other kinds of cloud services systems.

Suggested Citation

  • Chen Yan-Kwang & Chen Yi-Ju & Chiu Fei-Rung & Wang Cheng-Yi, 2015. "Towards Successful Cloud Ordering Service," Business Systems Research, Sciendo, vol. 6(1), pages 1-21, March.
    • Handle: RePEc:bit:bsrysr:v:6:y:2015:i:1:p:1-21
    DOI: 10.1515/bsrj-2015-0001
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    References listed on IDEAS

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    1. Xianghua Lu & Sulin Ba & Lihua Huang & Yue Feng, 2013. "Promotional Marketing or Word-of-Mouth? Evidence from Online Restaurant Reviews," Information Systems Research, INFORMS, vol. 24(3), pages 596-612, September.
    2. Sergio Román, 2010. "Relational Consequences of Perceived Deception in Online Shopping: The Moderating Roles of Type of Product, Consumer’s Attitude Toward the Internet and Consumer’s Demographics," Journal of Business Ethics, Springer, vol. 95(3), pages 373-391, September.
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