Value of Information in a Serial Supply Chain Under a Nonstationary Demand Process

2011 ◽  
Author(s):  
Omkar D. Palsule-Desai ◽  
Siddharth Mahajan
Keyword(s):  
Supply Chain ◽  
Value Of Information ◽  
Nonstationary Demand

scholarly journals Analysis of the Value of Information and Coordination in a Dyadic Closed Loop Supply Chain

2020 ◽  
Vol 12 (20) ◽  
pp. 8398
Author(s):  
Juan Pedro Sepúlveda-Rojas ◽  
Rodrigo Ternero
Keyword(s):  
Decision Making ◽  
Supply Chain ◽  
Value Of Information ◽  
Closed Loop ◽  
Local Optimization ◽  
Supply Chain Performance ◽  
Optimization Approach ◽  
Closed Loop Supply Chain ◽  
Definition Of ◽  
The Impact

Purpose: This article analyzes the value of information and coordination in a closed loop supply chain (CLSC) and discusses the benefits of a global or local optimization approach and the impact of uncertainty. Methodology: A theoretical dyadic closed loop supply chain is analyzed where the manufacturer re-manufactures products returned by customers, producing “as good as new products” for the retailer. Twelve coordination scenarios were analyzed. For the definition of these scenarios, a framework based on two criteria was proposed: value of information and perimeter of decision making. Findings: Information on returns leads to lower costs than information on demand. In the presence of complete or partial coordination between the actors in the supply chain, it is preferable to have low product return rates. However, if we are in the complete absence of coordination, high rates of return are more convenient as they function as a buffer against uncertainties. The perimeter of decision making (global or local optimization) does not significantly improve the supply chain performance in relation to its costs. Only the exchange of information improves its performance. Therefore, companies should make efforts to exchange information, first, on their lot sizes, then on their returns and finally, on the customer demand. Originality: The novelty of our work relies on an analysis of the closed loop supply chain performance with the simultaneous presence of information, coordination, and uncertainty.

Coordination in a multiple producers–distributor supply chain and the value of information

2015 ◽  
Vol 167 ◽  
pp. 63-73 ◽  
Author(s):  
Anu Thomas ◽  
Mohan Krishnamoorthy ◽  
Gaurav Singh ◽  
Jayendran Venkateswaran
Keyword(s):  
Supply Chain ◽  
Value Of Information

An Approach to Study the Value of Information Sharing in a Serial Supply Chain with Decentralised Decision

2010 ◽  
Vol 43 (17) ◽  
pp. 70-76
Author(s):  
Mansour Rached ◽  
Zied Bahroun ◽  
Armand Baboli ◽  
Jean-Pierre Campagne ◽  
Belhassen Zouari
Keyword(s):  
Supply Chain ◽  
Information Sharing ◽  
Value Of Information

Structural model of information quality framework to e-agri supply chain

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Shivani Agrawal ◽  
Vinay Singh ◽  
Yogesh Upadhyay
Keyword(s):  
Supply Chain ◽  
Supply Chains ◽  
Value Of Information ◽  
Information Quality ◽  
Structural Model ◽  
Equation Modeling ◽  
Content Type ◽  
Market Expansion ◽  
Quality Framework ◽  
The Impact

PurposeDue to wider acceptance of information technology (IT) and e-commerce among the consumers, firms belonging to agri businesses are rapidly redefining IT-driven stakeholders' centric completive strategy for their supply chain. This has forced the firms to understand the stakeholders' information needs and quality they expect from the electronic supply chains. Thus, the present study focusses on developing an information quality framework that ensures the success of stakeholders' centric e-agri supply chain. The study also attempts to investigate the interrelationship between formative endogenous latent variables, i.e. value of information (VoI), e-platform responsiveness (RESP), e-platform aesthetics (SAE), e-platform ease of use (EoU) and fulfillment of expectation (FoE) used in the developing the proposed framework.Design/methodology/approachSurvey based data are obtained from 280 respondents using semistructured questionnaire to validate the proposed theoretical framework. The structural equation modeling is performed using IBM Statistical Product and Service Solutions (SPSS) 16.0 and Analysis of Moment Structures (AMOS) 24.0 package to establish structural model by accommodating determinants of information quality framework identified from extent literature. Confirmatory factor analysis (CFA) is employed to examine the robustness of manifesting variables that define the latent constructs. The robustness measuring items of constructs are also ensured through specified criteria of reliability, convergent validity and discriminant validity. At last the one-way ANOVA and post-hoc analysis are employed to investigate the stakeholders’ group difference on each study construct.FindingsThe results infer the impact RESP, VoI, SAE and EoU on the fulfillment of expectation (FoE). After applying the bootstrapping technique, it was observed that all causal relationships as proposed in hypotheses H1, H1a, H1b, H2, H3 and H4 have gained significant empirical support, thus verify the framework applicable to e-agri supply chain as the study outcome. Addition to this, SAE mediates relationship of RESP and VoI. The RESP and SAE have an indirect positive effect on “EoU.” Findings also suggest that the intermediaries expect better e-platform responsiveness and value of information from e-agri supply chain as compared to farmers and end consumers.Practical implicationsThe findings of the study emphasized on the importance of five exogenous variables for e-agri supply chain in order to achieve stakeholders' expectation fulfillment on the information delivered through e-agri supply chain. The study is of great significance to the practitioners and management professionals by aiding strategic worth of market expansion by maximizing users' base by developing, deploying and facilitating a responsive and resilient stakeholders' centric e-agri supply chains. The study provides insights to the cross-domain researchers, firms, managers and policymakers to capture detailed and deeper understanding on the system design, stakeholders' behavior and in policy formulation so as to suggest remedial measures to strengthen the stakeholders' belief on relying e-agri supply chain.Originality/valueThe study considers the empirical model that shows the determinants and their relationship in the “information quality framework” as unique and novel contribution in the context of e-agri supply chain. The framework determines the quality and efficacious use of information that regulates the effectiveness of e-platform from stakeholders' perspective. The investigated constructs and their relationship depict their importance in creating systematic value chain of information across the supply chain.

Sign in / Sign up

Export Citation Format

Share Document