The development of technology and science in the Industrial Revolution 4.0 era requires companies to increase effectiveness and efficiency to maintain a competitive advantage. Supply chain management is the integration of business processes involving end customers and key suppliers whose function is to provide value to customers and stakeholders by providing products, services, and information. Implementation of supply chain management is considered an operational function or company activity that greatly determines the effectiveness and efficiency of the supply chain. This research aims to analyze the relationship between the implementation of supply chain management and the performance of small and medium enterprises (SMEs), the relationship between supply chain management, and the relationship between competitive advantage and the performance of SMEs. The research uses a quantitative descriptive approach. The quantitative approach is data in the form of numbers which are generally arranged through structured questions. The questionnaire contains statement items designed using a Likert scale from 1 to 7. The data in this study uses cross-sectional data because the data collection was carried out in a certain period. The data was obtained from distribution of online questionnaires via social media. The unit of analysis used in this research is the owners/managers of SMEs in Indonesia. The sampling technique used in this research is a non-probability sampling technique, namely purposive sampling. The total sample for this research was 432 respondents. The data management used in this research is the Structural Equation Model (SEM) method, which is a collection of statistical testing techniques on a series of relatively complex relationships, simultaneously. The data processing tool is SmartPLS 3.0. The SEM technique is used to examine and justify different hypotheses of the survey. Hypothesis testing is carried out by comparing the p-value with a confidence level (alpha) of 5% (

This research was conducted by analyzing the factors that affect company performance with supply chain management practices, supply chain responsiveness, company capabilities and competitive advantage variables as intervening variables. This research method was a quantitative survey and the object of this research consisted of 460 distributors, at the level of lubricants retailers, in Indonesia determined by simple random sampling. The research data was obtained by distributing online questionnaires through social media and the questionnaire was designed using open statements with a Likert scale of 2 to 7. The analysis technique used was Structural Equation Modeling with validity test analysis, hypothesis testing using structural equation modeling techniques with smartPLS 3.0 software as a tool to assist data processing. The results of this study indicate that the company's ability had a positive and significant effect on the company's competitive advantage, supply chain management practices had a positive and significant effect on advantage, supply chain responsiveness had a positive and significant effect on competitive advantage, competitive advantage had a positive and significant effect on company performance and finally supply chain management had a positive and significant impact on company performance.

Effective supply chain management (SCM) has become a potentially valuable way to secure competitive advantage and improve organizational performance because competition is no longer between organizations but between supply chains. This study examines the relationship between the influence of SCM practices on competitive advantage and organizational performance. The data for this study were collected from 165 employees in one of the SMEs in the Halal Agroindustry in Indonesia. Survey data were analyzed using partial least squares structural equation modeling (PLS-SEM). The results suggest that higher levels of SCM practices can lead to increased competitive advantage and improved organizational performance. Also, competitive advantage can have a direct positive impact on organizational performance. This study also confirms the mediating effect of competitive advantage on the relationship between SCM practices and organizational performance.

Firms' activities to govern their supply chains are defined as supply chain management practices. This research explores a model that describes the association between organizational performance and supply chain management practices. Based on existing research, a theoretical framework for the investigation was established. A standardized questionnaire was developed to gather data for the research, which was completed by 396 supply chain professionals from Saudi Arabian food companies. Partial least square (PLS)–structured equation modeling was used to examine the model and hypotheses. Four independent variables were chosen to scrutinize the impact of supply chain management strategies on organizational performance: customer relationship, strategic supplier partnership, level of information sharing, and postponement. According to the research, customer relationships, strategic supplier partnerships, and information sharing all have a major impact on organizational performance. On the other hand, the postponement has no significant impact on organizational performance.

The aim of this study is to design, build and validate a scale for the measurement of Saudi industrial Organizations' SC Management Practices (SCMP), and also to evaluate its efficiency at various SCM measurements. The analysis identified 20 constructs of (SCMPs) based on a comprehensive literature review; namely Strategic Partnership of Suppliers (SPS), Customer Relationship (CR), Information Sharing (IS), Information Quality (IQ), Postponement (PST), Agreed Vision and Goals (AVG), Sharing of Risks and Rewards (SRR), Lean Manufacturing (LM), Total Quality Management (TQM), Organizational Culture (OC), Information and Communication Technology (ICT), Benchmarking and Performance Measurement (BPM), Agile Manufacturing (AM), Outsourcing (OUT), Just In Time Manufacturing (JIT), Green SC Management (GSCM), Reverse Logistics (RL), Vendor Managed Inventory (VMI), Radio Frequency Identification (RFID), and SC Integration (SCI), and four SCM performance structures in particular namely; Flexibility Perspective (FLP), Efficiency Perspective (EFP), Customer’s Perspective (CSP), Product Innovation Perspective (PIP). A survey tool based on the existing literature was developed and relevant data were collected from 351 Industrial Saudi organizations on this tool. In the data analysis the validation of the instrument is mainly carried out with confirmatory factor analysis in terms of unidimensionality, durability, convergent validity, discriminant validity, nomological validity, and the associated validity criteria. A parsimonious instrument that makes an important contribution to the SCM literature is generated by the results of this research. The instrument will allow an enterprise to incorporate various SCMPs, to keep track of the implementation status, and then to evaluate SCM performance to the SCM dimensions.

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.