Although Supply Chain Management (SCM) and Industrial Cluster (IC) are two different fields of study, it has been identified that there is a natural and internal relationship between these two theories. Most of research works depict that, integration of the two concepts is in its infancy. The aim of this research is to review the integration between supply chain management and industrial cluster, at the same time to identify the gap and propose solution. To achieve the research aim, two pairs of keywords namely "supply chain" and "industrial cluster" were used, to track literatures from the online databases. The search initially identified over 46 articles. After further screening, they were reduced to 17. Finally, contents of these articles were analyzed based on their general focus area. From the content analysis, considerable evidences are found in the literature review on the integration of supply chain management with industrial cluster. The entire emphasis of the previous researches was on cluster supply chain (CSC) management, which highly promotes efficient operations of industrial clusters. Most of the CSC articles focused on the importance of cluster supply chain. However, there are few researches in the design, implementation and improvement of cluster supply chain. On the other hand, the role of industrial clusters in a global supply chain management and benchmarking of best practices have not yet been given the attention they deserve in previous studies. This is one of the first studies which critically examine researches that deal about supply chain management and industrial cluster integration theories.
Abstract. The purpose of this paper is to develop structural classi¯cation of Stochastic Vehicle Routing Problem (SVRP) by di®erent domains and attributes. This research used a systematic review and meta-analysis on SVRP literatures. This includes browsing relevant researches and publications, screening related articles, identifying domains, attributes and categorising the articles based on the identi¯ed domains and attributes. Thē ndings of the study show clear di®erences on the number of studies under each domain and attribute. Most studied attributes are stochastic customer demand, capacitated vehicle, synthesis data and objective function with cost minimization. Whereas the least studied are maximisation objective function, stochastic service time, and an applied model using stochastic with recurs. The research helps to summarise and map a comprehensive survey on SVRP literatures so that various contributions in the¯eld are organised in a manner that provide a clear view for the readers and identify future research directions. This paper is the¯rst of its kind in the¯eld of SVRP that develop a classi¯cation scheme for articles published since 1993 to enhances the development of this newly emerging discipline.
Purpose
The purpose of this paper is to identify the contextual work factors in Ethiopia and to evaluate the relative influence of each of these factors on job satisfaction (JS) of employees.
Design/methodology/approach
The study draws on a sample of shop floor workers from the leather products manufacturing industry in Ethiopia. Data were collected using a structured survey questionnaire and focus group discussions. After testing scale reliability and validity, multiple linear regression was used for the analysis.
Findings
The study results suggest that the JS is mainly explained by extrinsic factors. Pay is found to influence overall job satisfaction (OJS) at least four times of other work factors. Training opportunity and ethnic diversity showed unexpected negative relationship with OJS.
Originality/value
Given the importance of understanding JS in labor-intensive industries, and paucity of research on the topic in Ethiopia, the study provides practical insights and groundwork that can guide practitioners to understand the drivers of JS in the region. Moreover, the study adds to the empirical literature that may yield important insights on organizational behavior for under-researched emerging economies, particularly for the eastern part of Africa, where nations share similar cross-cultural norms, economic and ethnic settings.
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