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Customer decision-making styles as a tool for segmenting digital products market in Iran

Shahryar Mohsenin (Faculty of Management, University of Tehran, Tehran, Iran)
Seyedamir Sharifsamet (Queensland University of Technology Business School, Brisbane, Australia)
Mohammad Rahim Esfidani (Faculty of Management, University of Tehran, Tehran, Iran)
Lucas A. Skoufa (Queensland University of Technology Business School, Brisbane, Australia)

Journal of Islamic Marketing

ISSN: 1759-0833

Article publication date: 24 September 2018

Issue publication date: 15 October 2018

700

Abstract

Purpose

The purpose of this paper is to define and develop digital products market segments in Tehran based on consumers’ buying decision-making styles (CDS) and testing applicability of Sproles and Kendall’s model [consumer style inventory (CSI)] for this steady growing market in Tehran and contributing to theories of market segmentation.

Design/methodology/approach

This research used exploratory factor analysis (EFA) to explore and identify digital products shoppers CDS. In addition, to determine whether the selected items and factors loaded, measured the identified CDS correctly, confirmatory factor analysis (CFA) was used to substantiate the number of explored CDS. Then, cluster analysis was executed to pinpoint decision-making groups and demographic characteristics such as gender, marital status, age, education and digital shopping experience to profile the diagnosed clusters.

Findings

Five CDS were distinguished for digital products customers (four former styles and one new one’s named “Premeditated buying”) through EFA and CFA analysis as a tool for segmenting; four clusters are, namely, “Best Seekers”, “Premeditators”, “Innovation Seekers”, and “Price Insensitive”.

Practical implications

It will be beneficial to companies focussing on the Iranian digital market. This study identifies each cluster behaviour based on demographic data too.

Originality/value

This is the first study focussing on market segmentation using extracting digital products decision-making styles. As the new shopping style, “Premeditated buying”, has been explored from this analysis and due to the nature of digital products, this CDS has not been found in previous studies and is unique to Iranian digital products shoppers.

Keywords

Citation

Mohsenin, S., Sharifsamet, S., Esfidani, M.R. and Skoufa, L.A. (2018), "Customer decision-making styles as a tool for segmenting digital products market in Iran", Journal of Islamic Marketing, Vol. 9 No. 3, pp. 560-577. https://doi.org/10.1108/JIMA-04-2017-0041

Publisher

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Emerald Publishing Limited

Copyright © 2018, Emerald Publishing Limited

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