Heterogeneity in Supply Chain Management

Author(s):  
Aikaterini Kokkinou ◽  
Maria-Athina Artavani

Today's organizations struggle for efficiency and effectiveness. Strategies involving collaboration between actors and integration of activity chains are reliant of factors that firms do not have direct ownership and control over. This has implications for strategizing, setting the goals and measuring performance. Efficiency and effectiveness are often used to describe performance. From a resource dependence perspective efficiency is defined as an internal standard of performance and effectiveness as an external standard of fit to various demands. This chapter attempts through a literature survey to search the main pillars and the determinant factors for efficiency in supply chain management and to present the effects in the competitiveness and the efficient level for an economy.

2019 ◽  
Vol 24 (6) ◽  
pp. 697-709 ◽  
Author(s):  
Chengyong Xiao ◽  
Boyana Petkova ◽  
Eric Molleman ◽  
Taco van der Vaart

Purpose Technology uncertainty poses significant challenges to manufacturers, as rapid changes in product and/or process standards and specifications can disrupt the smooth flow of materials in extended supply chains. Practitioners and researchers alike who take a relational perspective widely regard supplier involvement as a potentially effective strategy to cope with technology uncertainty, as focal manufacturers can tap into their upstream supply networks for complementary resources and capabilities. However, the literature lacks a nuanced understanding of the supplier involvement processes. Specifically, the role of resource dependence for supplier involvement has yet to be systematically understood. To fill this gap, this study aims to combine the relational perspective with the resource-dependence perspective to explore how buyer dependence, supplier dependence and buyer–supplier interdependence influence buyers’ decision-making on tapping into upstream supply networks for coping with technology uncertainty. Design/methodology/approach To test the hypotheses, a survey is conducted among Dutch firms with more than 50 employees in the discrete manufacturing industries (ISIC 28-35), resulting in a sample of 125 manufacturers. Findings First, there is a significantly positive relationship between technology uncertainty and supplier involvement, giving support to the expectation that buyers are indeed involving their key suppliers in the product/process design and improvement, as a response to technology uncertainty. Second, buyer dependence and interdependence are found to be positively moderating the relationship between technology uncertainty and supplier involvement. In contrast, supplier dependence has a negative moderating effect on the baseline relationship. Research limitations/implications The authors contribute to a relational view on buyer–supplier relationships by showing that the validity of this view, in the context of technology uncertainty, is contingent on the resource dependence between buyers and suppliers, and the authors contribute to the supply chain management literature more generally by combining a relational perspective with a resource-dependence perspective. Practical implications The findings provide several nuanced insights into the effect of resource dependence (buyer dependence, supplier dependence and interdependence) on supplier involvement for coping with technology uncertainty. Originality/value This study contributes to the supply chain management research by going beyond the benefits of supplier involvement and highlights the circumstances under which supplier involvement is likely to occur.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Phuoc Luong Le ◽  
Nguyen Thi Duc Nguyen

Purpose To deal with the present situation and recover after the COVID-19 pandemic, construction firms are required to recognise the trends in construction supply chain management (CSCM) for the upcoming years and determine the appropriate practices towards the trends for the improvement of construction activities in terms of strategy, tactic and operations. This paper aims to recognise key trends in CSCM and uses these trends as strategic criteria for the evaluation and prioritisation of lean construction (LC) tools at different project phases including design and architectural engineering, planning and control, on-site construction and safety management. Design/methodology/approach The integrated analytic hierarchy process–Delphi method is used to collect and analyse the data from construction experts to evaluate the importance levels of the CSCM trends and recommend the appropriate tools for LC practices to improve project performances. Findings Seven key CSCM trends are identified: lean supply chain management (SCM), supply chain (SC) integration, SC standardisation, SC problem-solving, SC information-sharing, SC flexibility and SC sustainability. Based on these trends, a set of prioritised lean tools are suggested for LC practices, in which “virtual design construction” (VDC) and “last planner system” are considered as the central tools. These two LC practices can be integrated with other effective tools to support the strategic, tactical and operational targets in construction supply chain (CSC) projects. Research limitations/implications This study gives the managerial implications by developing an application framework of LC practices for CSC projects. The framework promotes “VDC” as a strategic tool for the phase of design and architectural engineering and considers “last planner system” as the central LC practice for the phase of project planning and control. The framework also focuses on the improvement of efficiency in construction operations by taking into account the aspects of on-site collaboration, problem-solving, improvement and safety. Originality/value Up to date, there is still a lack of researches in classifying and prioritising the significant LC tools for each project phase to deal with CSC issues in both breadth and depth. Thus, this study is performed to provide construction managers with the awareness of CSCM trends on which they can focus to have strategic criteria for selecting LC practices to improve CSC performances.


2010 ◽  
Vol 1 (1) ◽  
pp. 64-76 ◽  
Author(s):  
Rauno Rusko

This study introduces geographical viewpoints for supply chain management (SCM) focusing on the branch of information communication technology (ICT) in the case of city and region of Oulu. The City of Oulu is a remarkable planning and administration centre of ICT branch in Finland. In this study we—instead of using commonly used cluster or resource dependence theories—utilize SCM framework to describe the development and path-dependence of knowledge-intensive geographical area, which is specialized in high tech or actually ICT business. In the context of geographical analysis, or of geographical economics, SCM is less-used viewpoint. This case study shows that SCM, and especially strategic level SC endowment viewpoint (introduced initially in Rusko, Kylänen & Saari, 2009), is valuable and useful tool in analysing the geo-economic development and pathdependence of a high tech centre. As a result, we notice that the development of Oulu is based on the development of SC endowment connected with amounts of talents and also multi-dimensional coopetition. One essential result is the observed erosion in the SC endowment of high tech Oulu, which sets remarkable challenges for city planning.


2015 ◽  
Vol 2 (2) ◽  
pp. 14-30 ◽  
Author(s):  
Dothang Truong

Cloud computing has been proven to have numerous benefits for organizations, especially in supply chain management. More and more organizations have adopted cloud-based solutions to be their primary sourcing applications. Nevertheless, this technology is not without challenges, and in order to deploy and implement cloud-based solutions successfully with minimal risks organizations need to have practical guidance on this emerging technology. Despite the rapid growth of cloud computing in supply chain areas, the existing literature is still conceptual, inadequate, and mainly focused on the pre-adoption stage of this technology. This research examines the post-adoption stage of cloud-based supply chain solutions from the decision science perspective and intends to provide organizations with practical guidance on how to ensure the efficiency of a cloud-based supply chain system and control risks associated with cloud-based solutions.


2014 ◽  
Vol 663 ◽  
pp. 638-643 ◽  
Author(s):  
Abdulghadar Awheda ◽  
Mohd Nizam Ab. Rahman ◽  
Rizauddin Ramli ◽  
Haslina Arshad

The interests of various economies in improving and expanding the growth of small and medium enterprises (SMEs) have thrived for a few years, particularly in the automotive sector. Although there are several supporting programs, SMEs face a large number of issues in their operation and performance. One of the successful techniques towards achieving collaborative relationships and problem solving in SMEs is through supply chain integration. Many enterprises have realized the benefits of integration among supply chain members. Supply chain management has become an effective strategy for boosting competitiveness. However, there are a few reasons that put off automobile SMEs from completely performing supply chain management. This study combines literature and findings of a questionnaire analysis to urge facts and knowledge regarding the importance of supply chain management and challenges of automotive SMEs in enhancing their collaborative relationships and effectiveness through SCM. In addition, this study observed that top management, work culture and attitudes of staffs and technologies being traded are among the significant impediments to well-integrated relationship between SMEs. Finally, the study concludes that SMEs need to fully adopt SCM to meet potential advantages and control their performance.


Author(s):  
Jabulile R. Kunene ◽  
Dr, S. Govender

The Department of Human Settlements (DoHS) has over the years received reports on lack of proper implementation of the Supply Chain Management, in particular the management of movable assets processes. Asset Management is a sub-component within Supply Chain Management in the DoHS. Asset Management is responsible for the management of all movable assets procured by the department. Movable assets such as departmental vehicles, office furniture, computer sets, are used by the officials in performing their day-to-day functions. Officials in the Department are responsible for the management and safeguarding of the assets assigned to them. The research covered in this article aimed to investigate how the department manages its assets and complies with the transversal policies of Supply Chain Management (SCM), which deal with demand management, acquisition management, utilisation management and disposal management processes. The information covered within this research is from varying records, official documents and departmental policies, dealing directly with the problem at hand, especially the management and monitoring of movable assets. Varying methods of collecting and analysing data were used to achieve valid and reliable results. The researcher analysed and compared various information records that informed findings with regard to risk management and control measures, value for money, responsibility and accountability and intervention strategies that may bring about efficiency and effectiveness in the department with regard to management of movable assets. This was done to address the issue of audit queries received by the Department of Human Settlements.


2021 ◽  
Vol 2021 ◽  
pp. 1-14
Author(s):  
Erfan Babaee Tirkolaee ◽  
Saeid Sadeghi ◽  
Farzaneh Mansoori Mooseloo ◽  
Hadi Rezaei Vandchali ◽  
Samira Aeini

In today’s complex and ever-changing world, concerns about the lack of enough data have been replaced by concerns about too much data for supply chain management (SCM). The volume of data generated from all parts of the supply chain has changed the nature of SCM analysis. By increasing the volume of data, the efficiency and effectiveness of the traditional methods have decreased. Limitations of these methods in analyzing and interpreting a large amount of data have led scholars to generate some methods that have high capability to analyze and interpret big data. Therefore, the main purpose of this paper is to identify the applications of machine learning (ML) in SCM as one of the most well-known artificial intelligence (AI) techniques. By developing a conceptual framework, this paper identifies the contributions of ML techniques in selecting and segmenting suppliers, predicting supply chain risks, and estimating demand and sales, production, inventory management, transportation and distribution, sustainable development (SD), and circular economy (CE). Finally, the implications of the study on the main limitations and challenges are discussed, and then managerial insights and future research directions are given.


Author(s):  
Abid Haleem ◽  
Mohd Sufiyan

There is a need to understand food supply chain management (FSCM) with the help of a process-oriented comprehensive definition and consider complex tasks involved therein. The study identifies FSCM and supply chain management’s basic definitions and focuses on a systematic literature review. None of the identified previously proposed definitions of FSCM has comprehensively covered all the significant operational issues in FSCM. Thus, the study further undertook the mapping of identified definitions with six key focusses in FSCM identified through the literature survey. This study systematically proposes a comprehensive definition of FSCM. Findings suggested that “Quality management” includes safety and traceability of the food product and “Sustainable Management,” including proper waste management as the most critical focus in FSCM. This study proposes a comprehensive FSCM definition comprising key managerial that focuses on the food supply chain (FSC). The literature survey is done with 160 selected papers and has subjectivity in mapping and analysis. This definition seems essential for theory building, as none of the available definitions has included all the dominant characteristics of FSCM. A comprehensive definition of FSCM would act as a reference point for supply chain-based research on the food sector.


Author(s):  
Mahesh S. Raisinghani ◽  
Manoj K. Singh

Supply chain comprises the flow of products, information, and money. In traditional supply chain management, business processes are disconnected from stock control and, as a result, inventory is the direct output of incomplete information. The focus of contemporary supply chain management is to organize, plan, and implement these flows. First, at the organizational level, products are manufactured, transported, and stored based on the customers’ needs. Second, planning and control of component production, storage, and transport are managed using central supply management and replenished through centralized procurement. Third, the implementation of the supply chain involves the entire cycle from the order-entry process to order fulfillment and delivery. Data mining can create a better match between supply and demand, reducing or sometimes even eliminating the stocks.


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