Measuring Supply Chain Performance as SCOR v13.0-Based in Disruptive Technology Era: Scale Development and Validation

Author:

Özkanlısoy Özden1ORCID,Bulutlar Füsun2ORCID

Affiliation:

1. International Trade and Logistics Management Ph.D. Program, Graduate School of Social Sciences, Yeditepe University, 34755 Istanbul, Turkey

2. Department of International Trade and Business, Faculty of Economics and Administrative Sciences, Yeditepe University, 34755 Istanbul, Turkey

Abstract

Background: Supply chain performance measurement is an integral part of supply chain management today, as it makes many critical contributions to supply chains, especially for companies and supply chains to identify potential problems and improvement fields, evaluate the efficiency of processes, and enhance the health and success of supply chains. The purpose of this study is to contribute to future research and practical applications by presenting a more standard, comprehensive, and up-to-date measurement scale developed based on the SCOR model version 13.0 performance measures in the disruptive technology era. Methods: The study was performed in seven stages and the sample size consists of 227 companies for pilot data and 452 companies for the main data. The stages comprise item generation and purification, exploratory factor analysis for the pilot study and main study, confirmatory factor analysis for the main study, convergent, discriminant, and nomological validity appraisal, and investigation of bias effect. Results: The scale was developed and validated as a five-factor and thirty-one item structure. Conclusions: Some key trends and indicators must be followed today to perceive the landscape of future supply chains. This measurement scale closely follows the future supply chains. Additionally, the findings have been confirmed by the contributions of disruptive technologies and the conceptual structure of supply chain management.

Publisher

MDPI AG

Subject

Information Systems and Management,Management Science and Operations Research,Transportation,Management Information Systems

Reference237 articles.

1. Avelar-Sosa, L., García-Alcaraz, J.L., and Maldonado-Macías, A.A. (2019). Evaluation of Supply Chain Performance: A Manufacturing Industry Approach, Springer.

2. Performance measures and metrics in a supply chain environment;Gunasekaran;Int. J. Oper. Prod. Manag.,2001

3. The agile supply chain: Competing in volatile markets;Christopher;Ind. Mark. Manag.,2000

4. Issues in supply chain management;Lambert;Ind. Mark. Manag.,2000

5. Handfield, R.B., and Nichols, E.L. (1999). Introduction to Supply Chain Management, Prentice-Hall.

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3