Partial Vertical Integration, Risk Shifting, and Product Rejection in the High-Value Export Supply Chain: The Ghana Pineapple Sector

2011 ◽  
Vol 39 (9) ◽  
pp. 1611-1623 ◽  
Author(s):  
Aya Suzuki ◽  
Lovell S. Jarvis ◽  
Richard J. Sexton
Keyword(s):  
Supply Chain ◽  
Vertical Integration ◽  
Risk Shifting ◽  
Export Supply

scholarly journals Analysis of Vertical Integration Motivation in Coal-Electric Energy Supply Chain Using ISM-MICMAC

2021 ◽  
Vol 793 (1) ◽  
pp. 012006
Author(s):  
Wang Qiang ◽  
Liu Haiying ◽  
Wu Ping ◽  
Gao Haiwen ◽  
Wang Jiaxin ◽  
...  
Keyword(s):  
Supply Chain ◽  
Vertical Integration ◽  
Energy Supply ◽  
Electric Energy

A comparative study of dates export supply chain performance: the case of Oman and Tunisia

2011 ◽  
Vol 18 (3) ◽  
pp. 386-408 ◽  
Author(s):  
Msafiri Mbaga ◽  
Mohammed Suleiman Rashid Al‐Shabibi ◽  
Houcine Boughanmi ◽  
Slim Mohamed Zekri
Keyword(s):  
Supply Chain ◽  
Comparative Study ◽  
Supply Chain Performance ◽  
Export Supply

Analyzing the post-harvest supply chain enablers of vertical integration for rural employability and marketability

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Rahul Priyadarshi ◽  
Srikanta Routroy ◽  
Girish Kant
Keyword(s):  
Factor Analysis ◽  
Supply Chain ◽  
Vertical Integration ◽  
Rural Areas ◽  
Structural Equation ◽  
Equation Modeling ◽  
Value Addition ◽  
Content Type ◽  
Post Harvest ◽  
The Impact

Purpose The purpose of this study is to analyze the post-harvest supply chain enablers (PHSCEs) for vertical integration to enhance rural employability, farmer profitability and rural produce marketability (i.e. market prospects) in the post-harvest supply chain (PHSC). The impact of vertical integration is also explored for various commercial produces. Design/methodology/approach A structural equation modeling (SEM) of PHSCEs for vertical integration was developed to enhance market prospects, rural employability and farmer profitability. The impact of business-to-business (B2B) and business-to-customer market prospects are explored in various dimensions for stakeholders such as farmers, manufacturers (processors), distributors and retailers. The fuzzy technique for order of preference by similarity to ideal solution (F-TOPSIS) was used to prioritize these PHSCEs to improve market prospects and rural employability. Findings The PHSCEs are clustered into three groups, namely, initiatives at the strategic frontier, initiatives at the tactical frontier and concerns for rural employability via vertical integration using exploratory factor analysis, confirmatory factor analysis and SEM to prove the null hypothesis. With F-TOPSIS results, the availability of warehousing was found to be the most crucial enabler when observing the PHSCEs from the initiatives’ perspective. The technology adaptability and availability, institute for training and research and information infrastructure and information visibility were found to be the key PHSCEs when observed from PHSC stakeholders’ perspectives. Research limitations/implications The implementation of this study will improve the rural produce marketability, rural employability, B2B marketing (i.e. effective distribution) and subsequent value chains with the practice of vertical integration for fresh produce at the rural level. Practical implications The outcomes of this study have a key role in developing the rural regions and improving rural livelihoods via value addition. The awareness of commercial cultivation and value addition in rural areas needs to be improved. This will help farmers to earn better revenues with improved market prospects in comparison to the revenues obtained from the cultivation of staple/conventional crops. Originality/value In an era of cold chains and food processing, this study aims to disseminate awareness about value addition for commercial and fresh produces at the rural level. The implication of this study will improve rural produce marketability, rural employability and farmer profitability at the rural level with the level of vertical integration.

A Generic Framework for Internet-Based Supply-Chain Interaction

1997 ◽  
Author(s):  
D. Veeramani ◽  
S. M. Joshi
Keyword(s):  
Supply Chain ◽  
Vertical Integration ◽  
Core Competencies ◽  
Integrated System ◽  
The Internet ◽  
Manufacturing Companies ◽  
Global Marketplace ◽  
Research Challenges ◽  
Generic Framework ◽  
Chain Interaction

Abstract To remain competitive in the global marketplace, manufacturing companies are transforming their organizational structure and operational philosophy from one based on vertical-integration to one based on core competencies. This trend has resulted in an economy wherein practically every manufacturing company has become dependent on a supply-chain of vendors in order to serve its customers. In the context of this distributed manufacturing environment, the Internet and related technologies such as Java, VRML and intelligent WWW agents are creating fundamentally new approaches to supply-chain interactions that offer greater flexibility in identifying suppliers and the ability to dramatically reduce the response time within a supply-chain for processing requests-for-quotation (RFQs) and orders from customers. In this paper, we describe a generic framework for Internet-based customer-vendor interactions, and present a computer-integrated system for rapid and effective processing of RFQs in such an Internet-based supply-chain. We also identify some key research challenges within this framework that need to be overcome for Internet-based supply-chain interaction to be successful.

Blockchain Technology Applied to the Cocoa Export Supply Chain

2020 ◽  
pp. 323-339
Author(s):  
Mario Chong ◽  
Eduardo Perez ◽  
Jet Castilla ◽  
Hernan Rosario
Keyword(s):  
Supply Chain ◽  
Data Structure ◽  
Raw Material ◽  
Expiration Date ◽  
Cocoa Beans ◽  
Batch Number ◽  
Blockchain Technology ◽  
Export Supply ◽  
Production Stages ◽  
Block Chain

This chapter recommends applying block chain technology to the cocoa supply chain. Using this technology, it will be possible to show and guarantee the traceability of the final product. Traceability in the cocoa chain begins in the production stages (harvest and post-harvest) to obtain relevant data related to cocoa beans and their producers, promptly, until finding the raw material origin and inputs used during the process. The material provider's name must be considered, as well as the manufacturer's expiration date, the batch number, and the production area's reception date. This is why authors recommend using Block chain, which is a data structure that stores information chronologically in interlinked blocks. It works as a digital master book and the participants reach an agreement to register any information in the blocks. Throughout the chapter, authors show how to apply this technology.

Network resilience modelling: a New Zealand forestry supply chain case

2020 ◽  
Vol 31 (2) ◽  
pp. 291-311
Author(s):  
Paul Childerhouse ◽  
Mohammed Al Aqqad ◽  
Quan Zhou ◽  
Carel Bezuidenhout
Keyword(s):  
Linear Programming ◽  
Supply Chain ◽  
Supply Chains ◽  
Discrete Event Simulation ◽  
Discrete Event ◽  
Network Resilience ◽  
Content Type ◽  
Supply Chain Resilience ◽  
Event Simulation ◽  
Export Supply

PurposeThe objective of this research is to model supply chain network resilience for low frequency high impact disruptions. The outputs are aimed at providing policy and practitioner guidance on ways to enhance supply chain resilience.Design/methodology/approachThe research models the resilience of New Zealand's log export logistical network. A two-tier approach is developed; linear programming is used to model the aggregate-level resilience of the nation's ports, then discrete event simulation is used to evaluate operational constraints and validate the capacity of operational flows from forests to ports.FindingsThe synthesis of linear programming and discrete event simulation provide a holistic approach to evaluate supply chain resilience and enhance operational efficiency. Strategically increasing redundancy can be complimented with operational flexibility to enhance network resilience in the long term.Research limitations/implicationsThe two-tier modelling approach has only been applied to New Zealand's log export supply chains, so further applications are needed to insure reliability. The requirement for large quantities of empirical data relating to operational flows limited the simulation component to a single regionPractical implicationsNew Zealand's log export supply chain has low resilience; in most cases the closure of a port significantly constrains export capacity. Strategic selection of location and transportation mode by foresters and log exporters can significantly enhance the resilience of their supply chains.Originality/valueThe use of a two-tiered analytical approach enhances validity as each level's limitations and assumptions are addressed when combined with one another. Prior predominantly theoretical research in the field is validated by the empirical investigation of supply chain resilience.

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