Strategic supply chain management factors influencing agribusiness innovation utilization

2014 ◽  
Vol 25 (3) ◽  
pp. 487-521 ◽  
Author(s):  
Maree Storer ◽  
Paul Hyland ◽  
Mario Ferrer ◽  
Ricardo Santa ◽  
Andrew Griffiths
2019 ◽  
Vol 31 (2) ◽  
pp. 559-574
Author(s):  
Yung-Heng Lee ◽  
Min-Ren Yan

Purpose The purpose of this paper is to identify the factors influencing bargaining decisions and systematically develop a framework to support collaborative innovation within a strategic alliance. This framework can help companies resolve bargaining problems and facilitate cooperation and effective negotiation of strategic alliances to build successful business relationships. Design/methodology/approach The study considers Taiwanese agents’ bargaining power during negotiations with suppliers, using decision analysis to identify the variables affecting judgment. It uses Delphi–AHP methods to evaluate and develop a multi-criteria model explaining the critical factors to increase agents’ bargaining power and collaborative capability in the negotiation process. Findings Two significant differences between supply chain management practices and managerial specialty are found. Results suggest that better supply chain management practices of agents could assist suppliers in reducing their stock and processing delivery costs, and suppliers could offer more of their marketing planning and strategies to agents to increase confidence in each other’s products. Research limitations/implications It is hoped that this study will encourage more academics in the supply chain management field to investigate the extent to which other bargaining considerations act as facilitating or constraining factors in other Asian and non-Asian economies and other industries. Practical implications This study focuses on collaborative thinking and cooperation to develop and improve positive and relational outcomes in agent–supplier relationships. Originality/value The study analyzed the bargaining power of agents and collaborative innovation in the semiconductor industry from three major perspectives: professional competence, managerial competence and channel efficiency. The study provides effective suggestions for enhancing profits in agency-based cooperation.


2011 ◽  
Vol 01 (05) ◽  
pp. 104-111
Author(s):  
OYEDOKUN Akintunde ◽  
Jonathan AWOREMI ◽  
Joshua Remi ◽  
ODEYEMI, Joshua Taiwo

The paper examined the elusive factors influencing share value in the Nigeria oil and gas industry with the aim of determining their effect and the extent to which they influenced share value. A simple random technique was used to select three of the six listed oil and gas companies on the Nigeria stock exchange. A stratified random technique was then used to select respondent in the functional department across the selected oil and gas industry. Both secondary and primary data were involved in the study. Stepwise regression analysis was used to capture the relative contribution and effect of the factors on share value. The results exhibit a strong relationship between the oil and gas industry market value and the elusive factors -Innovation, human capital, and supply chain management. Innovation was indentified to be the major driving force adding value to the Nigerian oil and gas industry, followed by human capital development and supply chain management.


Author(s):  
Samuel Fosso Wamba ◽  
Maciel M. Queiroz

The literature concerning supply chain management (SCM) and blockchain integration is scarce, and organizations and decision makers still have a limited knowledge about blockchain solution diffusion in SCM. Under these circumstances, studies aimed to improving the understanding of the main blockchain diffusion factors are fundamental. This chapter is a contribution to bridging such gaps, as it aims to unlock the driving factors of blockchain diffusion in the SCM environment. Based on the emerging literature on blockchain, supply chain management, expectancy theory, and diffusion of innovations, a model was developed and validated, considering data from India's supply chain management professionals. The data was analyzed using partial least square structural equation modeling (PLS-SEM). The results indicated that IT deployment capability, compatibility, and trading partner pressure are factors that affect blockchain diffusion significantly. Also, the results bring essential managerial and theoretical implications regarding the blockchain diffusion in the SCM.


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