A Framework for Evaluating Information Transparency in Supply Chains
Author:
Affiliation:
1. Yasar University, Bornova, Turkey
2. Izmir Katip Celebi University, Izmir, Turkey
3. Ch. Ranbir Singh State Institute of Engineering and Technology, Panakeso, India
4. London Metropolitan University, UK
Abstract
Private, public, profit, and non-profit organizations, and society as a whole currently face a significant reliable information necessity problem. Especially supply chains need trustworthy information to perform their activities successfully. This study aims to propose a framework and identify how reliability of information can be evaluated and measured through the concept of transparency. In this context, dimensions such as; comprehensiveness, regularity, timeliness, content, scope, and user-friendliness are the pillars of the proposed framework. Selected criteria have been used as inputs to develop the information transparency level. The Fuzzy Analytic Network Process (ANP) is used to obtain weights of these inputs, and Data Envelopment Analysis (DEA) is used for the determination of the efficiency ranking for transparency. Results demonstrated that Content, Scope and Comprehensiveness dimensions have 75% impact on the transparency of data. Remaining 25 percent is affected by Timeliness, Regularity and User-friendliness.
Publisher
IGI Global
Subject
Information Systems and Management,Management Science and Operations Research,Strategy and Management,Computer Science Applications,Business and International Management
Cited by 15 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. Linkage between digital supply chain, supply chain innovation and supply chain dynamic capabilities: an empirical study;The International Journal of Logistics Management;2023-10-12
2. Does digital transformation improve the operational efficiency of Chinese power enterprises?;Utilities Policy;2023-06
3. Information quality and supply chain performance: The mediating role of information sharing;Supply Chain Analytics;2023-06
4. Intellectual Core in Supply Chain Analytics: Bibliometric Analysis and Research Agenda;International Journal of Information Technology & Decision Making;2023-04-08
5. Creating and Sharing Interorganizational Knowledge Through a Supply Chain 4.0 Project;Journal of Global Information Management;2023-02-24
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