Improving internet service providers competitiveness: ISP's perception regarding customer satisfaction. (23rd February 2021)

• Record Type: Journal Article
• Authors: Shokoohyar, Sina; Shokouhyar, Sajjad; Sobhani, Anae; Naseri, Sepide
• Is Part Of: International journal of business and systems research. Volume 15:Number 3(2021)
• Page Start: 292
• Page End: 316
• Publication Date: 2021-02-23
• Subjects: assessing services -- internet services -- data mining -- clustering -- fuzzy Kano model; Management information systems -- Periodicals; Business -- Data processing -- Periodicals; 658.4038011
• Languages: English
• ISSNs: 1751-200X

Abstract

The needs and quality expectations are not the same among different customers; therefore, internet service providers (ISPs) companies should cluster their customers and allocate their limited resources to the customers with the highest priority for the organisation. This study focuses on the quality of services or in other words, meeting the ISP customers' real needs. Customers of an ISP company in Iran are clustered by using a combination of clustering techniques (i.e., K-means, Kohonen and TwoStep clustering algorithms), and then fuzzy Kano model is used to assess the customer satisfaction. A fuzzy Kano questionnaire was distributed randomly between 1, 000 customers and then needs and requirements of each cluster were reviewed and clustered. Satisfaction increment index (SII) and dissatisfaction decrement index (DDI) are calculated for each cluster. The findings of this study facilitate clustering ISP customers and perceiving their needs, and in turn can be used by ISP managers to enhance customer satisfaction.