Industry-wide competitiveness assessment through fuzzy synthetic evaluation: the case of cement industry

Abstract

This study aims to develop a fuzzy force assessment model (FFAM) for quantifying industry-wide competition conditions (CCs) using five-force framework. It employed fuzzy synthetic evaluation to assess CCs of forces and industry, and real case of Turkish cement industry was demonstrated. As a result, FFAM provides a comprehensive and practical device. As empirical findings, CCs in cement industry are medium-to-high, and pressure from substitutes is the most effective force, followed by intensity of competitors’ rivalry, bargaining power of buyers, bargaining power of suppliers, and threat of entrants. Consequently, this study is first to propose a structured and fuzzy five-force quantification model and to assess CCs in cement industry.

Keywords:

• cement industry
• competitive forces
• competitiveness assessment
• five forces
• fuzzy sets
• fuzzy synthetic evaluation
• industry-wide competition
• quantification model

JEL Classification:

• L16
• L61

Additional information

Notes on contributors

Serdar Ulubeyli

Serdar ULUBEYLI has a BSc, an MSc, and a PhD degree in Civil Engineering from Istanbul Technical Universiy, Akdeniz University, and Istanbul University, Turkey, respectively. He is an Associate Professor of Construction Management Division in the Department of Civil Engineering at Bulent Ecevit University, Turkey. He has published many papers in various scientific mediums such as Industrial Management & Data Systems, Construction Management and Economics, ASCE Journal of Management in Engineering, Journal of Civil Engineering and Management, Building and Environment, Technological and Economic Development of Economy, Engineering Economics, International Journal of Construction Management, Organization, Technology & Management in Construction: An International Journal, and International Journal of Occupational Safety and Ergonomics. He also serves as a reviewer in a wide range of journals including Journal of Business Economics and Management, Industrial Management & Data Systems, Automation in Construction, Journal of Civil Engineering and Management, and Mathematical Problems in Engineering. His areas of academic research interests include strategic management, total quality management, and project management.