This paper investigates the relationship between supply chain management practices and organizational performance with the mediating role of innovation. Data were collected from 207 small and medium enterprises (SMEs) in Punjab, Pakistan. PLS-SEM was used to analyze the proposed hypotheses. Findings reveal that strategic partnership with supplier and level of information sharing had no influence on organizational performance. In addition, quality of information sharing, internal supply chain process, and lean practices had significant influence on organizational performance. Moreover, all five practices of supply chain management had significant and positive influence on innovation. Meanwhile, innovation significantly and positively mediated the relationship between supply chain management five practices and organizational performance. The findings of this study will help managers of SMEs enhance their performance.

During the past few decades, logistic industry has grown rapidly worldwide, however, the performance of Indonesian logistic industry is decreasing due to various supply chain issues. Logistic companies are suffering with low performance which has negative consequence on gross domestic product (GDP). To address this issue, the primary objective of the current study is to investigate the role of innovation in supply chain management. By using the cross-sectional research design, 300 questionnaires were distributed among the employees of logistic companies. All the questionnaires were distributed by using area cluster sampling. PLS-SEM was preferred to achieve the objectives of the current study. Findings of the study have revealed that collaboration with supplier, customers and external partners had significant positive relationship with radical and incremental innovation. Moreover, radical and incremental innovation maintained significant positive relationship with open-innovation performance. An increase in open-innovation increases the supply chain performance among Indonesian logistic companies. Therefore, logistic companies must focus on innovation to boost their performance. This study contributed in the body of literature by examining the important role of radical and incremental innovation in supply chain performance.

In this paper, we present a new decision-making tool aimed at improving the efficiency of the operational planning of pick-up processes in logistic distribution centers. It is based on a memetic algorithm (MA) solving both the Order Batching Problem (OBP) and the Order Picking Problem (OPP). The result yields a sequence of simultaneous pick up operations of lots for different clients in a storing facility, satisfying a previously defined distribution plan. The objective is the minimization of the operational cost of the entire process, which is directly proportional to the time spent on different activities involved. The failure to satisfy the conditions, either leads to overstocking, delays in delivery or creates inefficiency costs. The analysis of the results obtained with our algorithmic tool indicates that it has a good performance in comparison with other known algorithms used to solve this kind of problem.

The Textile and Apparel industry of Malaysia used to contribute about 1.2% of gross domestic product (GDP) in the past. However, this position has followed a reverse trend in recent years. The imports were increased as compared to the exports which decreased the overall contribution of Textile and Apparel industry between 2015 and 2016. To address this issue, this study examined the effective supply chain activities through radio frequency identification (RFID) using survey method to collect the necessary data. Questionnaires were distributed among the employees of Textile and Apparel companies. While analyzing the data by using PLS-SEM, it was found that RFID was contributing majorly in supply chain operations and maintained significant and positive effect on the performance of supply chain. Moreover, staff services quality had moderating role between RFID and the operations of Textile and Apparel industry. The study is one of the first attempts to examine the effect of RFID on supply chain operations of Textile and Apparel companies. Thus, the current study is helpful for practitioners to resolve the issues of concerned industry.

One of the most important questions in outsourcing management is to decide on the allocation of the activities, processes or services either from the inside or from the outside of the organizations through outsourcing operations. It is necessary to determine the factors influencing outsourcing decision making as well as their impacts on decisions. In this paper, the existing approaches and models and their related criteria are studied and the necessary criteria are explored based on different conditions in marine manufacturing industries. These criteria are categorized in four dimensions; namely Capacity, Technology, Strategy and financial, and Risk called CTSR. After determining the weights of the criteria based on paired-wise comparisons, the related calculations are carried out using PROMETHEE method. Finally, a Black, White, Gray (BWG) analysis is executed to determine whether a candidate should be outsourced or not.

This paper investigates the impact of employee commitment as well as the recruitment process on the performance of internal supply chain. Additionally, the current study is intended to investigate the mediating role of the recruitment process on the relationship between employee commitment and firm supply chain performance. The main objective behind any recruitment process is to recruit committed employees to help a firm enhance the performance of the organizations. Therefore, the current study is carried out to fill a gap by exploring the relationship between recruitment processes, employee commitment, and firm supply chain performance. To achieve the research objective, the study has analyzed the data gathered from 284 mangers of manufacturing organizations of United Arab Emirates. 284 questionnaires out of 550 are found useful, so the response rate is 52 percent. The structural equation modelling using AMOS is used to analyze the data. The results of the study show an agreement with the results of the hypotheses. The direct relationship between commitment types and firms’ internal supply chain performance, and between recruitment process and firms’ internal supply chain performance are found positive and significant. The results of the study will be helpful for HR practitioners, operation managers, researchers, and policy makers in understanding the impact of employee commitments and recruitment process on internal supply chains’ performance of manufacturing firms.

Machine failures during production period may impose thousands to millions of dollars to a manufacturing system. In this paper, the impact of machine failures on production lines in a closed-loop supply chain systems is examined. For this purpose, a new method is proposed for scheduling manufacturing workshops in a supply chain systems. The aim is to determine the best production plans in a manufacturing system by considering alternative preventive maintenance programs while machine failures can affect system performance. To solve the model, a hybrid Ant Colony and Simulated Annealing algorithms is developed and the results are compared with branch and bound method. Our findings show that the condition of emerging machine failure affects machines’ capacity which yields to lost sale. The impacts of using appropriate preventive maintenance on reducing lost sale is also examined. The results indicate that the proposed method can significantly reduce the level of sale variation in supply chain systems.

The primary objective of this paper is to investigate the relationship between total quality management practices (TQMP), supply chain management practices (SCMP), information technology capabilities, supply chain technology adoption and firm supply performance. In addition, the study also tries to investigate the mediating role of information technology capabilities and supply chain technology adoption in the relationship between TQMP, SCMP, and firm supply performance. The study is carried out on a sample of textile firms of Pakistan. To achieve the research objective, Smart PLS-3 is used for the analysis of the data gathered from the textile firms of Pakistan. The results of the study show a great deal of agreement with the hypothesized results. The information technology capabilities, supply chain technology adoption both appear to play mediators between TQMP, SCMP, and firm supply performance. The results of the study will be useful for policymakers and researchers to understand the emerging role of technology in strategic management and operational management.

This paper investigates the role played by service quality at supplier-manufacturer dyad in small-medium manufacturing units, and presents a model to establish that contribution of both the supplier and manufacturer towards service quality could lead to satisfaction followed by loyalty. The research design for this study includes a combination of literature survey, exploratory interviews with practitioners, and a questionnaire survey conducted through interview schedule from 120 respondents working in different small-medium manufacturing units of North India. Structural equation modeling (SEM) is used for data analysis. The paper develops dual directional scales to evaluate service quality at supplier-manufacturer dyad and tests a set of four propositions. A model showing linkages of manufacturer (manufacturing unit’s) service quality with supplier service quality leading to satisfaction and loyalty is also developed. The model is empirically tested and is found to be fit. This study would be of interest to SME managers particularly engaged in ‘purchase’ function and researchers working on inter-firm supply chains in such units. This study recommends forming strong collaborative relationships with suppliers to achieve a win-win situation.

Supply chain performance has been a key element of competitive strategy to boost organizational productivity and profitability. In the United Kingdom (UK), a survey disclosed that approximately 40% of the UK’s gross domestic product (GDP) was consumed on supply chain related activities. Because of the extensive use of gross domestic product (GDP) on supply chain, it is important to work on UK based supply chain companies and to reveal various factors to enhance supply chain performance. Therefore, the primary objective of the current study is to investigate the combine effect of audit determinants and leadership styles to enhance supply chain performance in UK based companies. Data were collected from audit department employees and other managerial employees who are closely related to supply chain activities. After analyzing the data through Smart PLS 3, it was found that audit and leadership styles played important contribution in supply chain performance. Moreover, top management and employee commitment to change maintained significant influence to enhance positive effect on audit and leadership. This study is much significant for UK supply chain companies to enhance supply chain performance.