DOI: 10.4018/JOEUC.2016040102
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Journal of Organizational and End User Computing
Volume 28 • Issue 2 • April-June 2016
Design and Development of Intelligent
Decision Support Prototype System
for Social Media Competitive
Analysis in Fashion Industry
Eric W.T. Ngai, Department of Management and Marketing, The Hong Kong Polytechnic University, Hong Kong
S.S. Lam, Lee Shau Kee School of Business & Administration, The Open University of Hong Kong, Hong Kong
J.K.L. Poon, Hong Kong Community College, The Hong Kong Polytechnic University, Hong Kong
Bin Shen, Glorious Sun School of Business & Management, Donghua University, Shanghai, China
Karen K.L. Moon, Department of Clothing and Textiles/Research Institute of Human Ecology, Seoul National University,
Seoul, South Korea
ABSTRACT
This paper describes the design and development of an intelligent decision support system (IDSS)
for competitive analysis of social media in the fashion industry. A web-based prototype system is
designed and developed to assist in monitoring the growing Internet media, protect fashion brands
and products, and provide support for social media competitive analysis in the fashion industry
through social media. In this study, a social media value grid that allows managers to use social
media technology in the fashion business and add value for managers is proposed. Four propositions
are presented as the research agenda in examining the ability of social media technology to improve
the operations management of a fashion company.
KEywORDS
Business Value, Intelligent Decision Support System, Fashion Industry, Sentiment Analysis, Social Media
INTRODUCTION
The use of social networking sites (SNS), such as Facebook, Weibo, Twitter, and Instagram has
rapidly proliferated among people. Large organizations as well as innovative small- and medium-
sized enterprises (SMEs) can benefit from the adoption of social media tools in business (Wamba &
Carter, 2014). Social media serve not only as a communication or information sharing platform, but
can also generate business value, such as building customer loyalty, raising customers’ awareness
of brand image, predicting customers’ preference, facilitating information flow, creating customers’
intimacy, and raising revenue (He, Zha, & Li, 2013; Schniederjans, Cao, & Schniederjans, 2013).
Social media are related to business value in two aspects. First, companies can use social media to
affect customers’ behavior. Rishika, Kumar, Janakiraman, and Bezawada (2013) found that the more
frequently the customers participate in a firm’s SNS, the more frequently the customers would visit the
company’s site. Second, customers can use social media to share their purchases with their peers that
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