To increase salesperson performance, this study will examine how product knowledge, sales environment, and information suitability affect salesperson adaptation. Random sampling is the approach that is utilized for sampling. 115 respondents from small and medium-sized batik business salespeople in the city of Pekalongan made up the study's sample in Central Java, Indonesia. The AMOS 21 program uses structural equation modeling (SEM) as an analysis tool. According to the study's findings, salesperson adaptability is significantly positively influenced by product knowledge, significantly positively by the sales environment, significantly positively by information appropriateness, and significantly positively by salesperson performance.

This research investigated the relationship between supplier integration and customer integration on operational performance by mediating supply chain flexibility in SMEs in Indonesia. The method used in this research used quantitative methods using a conceptual framework and analysis of research data was performed using structural equation models (SEM) with SmrtPLS 3.0 software tools. Respondents to this study were 650 SMEs owners in Indonesia who were determined using the simple random sampling method. Data collection in this study was carried out on primary data in the form of respondents' statements obtained from answers to online research questionnaires designed using a Likert scale of 7. The results of this study stated that Supplier Integration had a positive and significant effect on supply chain flexibility. Customer Integration had a positive and significant effect on Supply Chain Flexibility. Supply Chain Flexibility had a positive and significant effect on operational performance. Supplier integration had a positive and significant effect on operational performance. Customer integration had a positive and significant effect on operational performance.

This study explores the role of taxation and customs strategies in promoting sustainable design and environmental responsibility in supply chain management. The research examines their direct effects on sustainable and environmental responsibility in Jordan, as well as the moderating influence of socioeconomic factors. It also investigates the mediating effect of sustainable practices adoption. Quantitative analysis using Smart PLS4 software was conducted. The results highlight the positive influence of taxation strategies on sustainable and environmental responsibility. Effective taxation strategies contribute to a stronger commitment to sustainable practices and environmental concerns within supply chains. Similarly, customs strategies positively influence sustainable and environmental responsibility, demonstrating that efficient customs management aligns with sustainable practices. In addition, socioeconomic factors were identified as significant moderators. The relationship between taxation strategies and sustainable responsibility, as well as environmental responsibility, varied based on the socioeconomic context. This suggests that the effectiveness of these strategies depends on the specific circumstances in which organizations operate. Furthermore, sustainable practices adoption was found to moderate the relationship between taxation and environmental strategies, and sustainable responsibility. This indicates that the successful implementation of sustainable practices enhances the impact of taxation and environmental strategies in promoting sustainability within the supply chain. This paper emphasizes the importance of developing and implementing effective taxation and customs policies that align with sustainable practices. Organizations should consider the influence of socioeconomic factors and prioritize the sustainable practices adoption to maximize the impact of these strategies. The findings provide valuable insights for strategic decision-making and encourage businesses to integrate sustainability into their supply chain management, contributing to environmental conservation and long-term success.

This study aimed to explore the approaches for transforming Small and Medium Enterprises (SMEs) into high-value markets, focusing on constructing a structural equation model of guidelines for the development of small and medium enterprises into high-value markets. The conceptual research framework consisted of one exogenous latent variable, the Value Discovery element, combined with the four endogenous latent variables, Value Development, Value Communication, Value Distribution, and Value Experiences. The study utilized mixed-methodology research, including qualitative research through in-depth interviews with nine experts, a focus group discussion with 11 successful entrepreneurs, and quantitative research through a survey of 500 SMEs in Thailand. The results revealed that SMEs operating in high-value markets are divided into tangible and intangible products, representing 250 respondents from each group. The five elements of the guidelines for the development of small and medium enterprises into high-value markets were found to be of high importance both overall and in each element. The developed SEM model was consistent with the empirical data of five elements with 27 observed variable factors. Furthermore, the hypothesis test results for analyzing the causal influence between latent variables in the SEM model revealed that all six hypotheses were supported at the 0.001 level of statistical significance. The value of the study is beneficial for SMEs who target to do business in high-value markets and can improve their competitiveness, develop unique value propositions, and provide better customer experiences.

This study aims to provide implications for the application of the halal logistics traceability model to food commodities in Indonesia and to be able to recommend alternative policy scenarios for the government. The system dynamic approach is used to model the traceability of halal logistics for food commodities in Indonesia. The urgency of this research is that it will contribute to improving the quality of halal logistics which has implications for the halal industry in Indonesia. This research also has implications for food quality and safety which helps food security in Indonesia, the relationship between Halal Certification and Traceability on SMEs Performance, analyzing the relationship between Halal food supply chain management and Halal Certification and Traceability. This research method is a quantitative survey, research data obtained by distributing online questionnaires to 390 food SME owners who have implemented the Halal Assurance Management System. Data analysis used a structural equation model (SEM) with SmartPLS 3.0 software. The stages of data analysis are validity, reliability and significance tests. The sampling technique used is non-probability sampling. The questionnaire used in this study uses a Google form which will be distributed to respondents. This questionnaire measurement method uses a Likert scale of 5, namely Strongly Disagree (STS), (2) Disagree Answers (TS), (3) Neutral Answers (N), (4) Agree Answers (S), Strongly Agree (SS). The independent variable used in this research is halal supply chain management. The dependent variables used in this study are halal certification and traceability and SMEs Performance. The results of this study indicate that Halal food supply chain management has a positive and significant effect on the performance of SMEs, Halal Certification and Traceability have a positive and significant effect on SMEs Performance, Halal Certification and Traceability have a positive and significant effect on Halal food supply chain management.

The study examines whether audit committee (AC) characteristics influence firm performance, and whether this relationship is moderated by board of director’s (BOD) ownership. The sample is listed manufacturing firms in Jordan. AC characteristics, as an indicator of corporate governance mechanism, include its size, meeting frequency, independence, and experience. Firm performance is proxied by return on assets (ROA). Thirty firms are included in the sample. Data are collected from 2015 to 2021 for a total of 210 observations. The first model indicates that AC meetings and independence positively and significantly influence firm performance. On the other hand, AC size is not a significant predictor of firm performance. The second model shows that the interaction effects (AC size, AC independence, and AC experience) are significant and positive on firm performance. The results provide insights on how to improve AC effectiveness so as to improve the performance of listed manufacturing firms in Jordan. They also suggest the significance of BOD ownership in enhancing internal corporate governance mechanisms, particularly the AC. Jordanian policy makers must therefore ensure the effectiveness of these mechanisms, especially AC, through relevant regulations and recommendations.

The research objective is to investigate the effect of brand equity on Thai cosmetic purchasing decisions. The study involved 500 individuals aged 20-59 who had purchased and used Thai cosmetic products within the past year. A multistage sampling method was employed to select the participants. Data collection was carried out using questionnaires, and both descriptive and multivariate statistical analyses were conducted, explicitly utilizing Second-order Confirmatory Factor Analysis and Structural Equation Modeling. The research results showed four factors influencing the purchasing decisions of Thai brand cosmetic products: Brand Equity, Buying Behavior, Consumer Satisfaction, and Perceived Value. The Second-order Confirmatory Factor Analysis and Structural Equation Model demonstrated that these factors met the assessment criteria when applied to the empirical data. Consequently, if a brand can establish brand equity that surpasses its competitors in the eyes of consumers, it will contribute to long-term profitability and sustained growth.

This research examines the synergistic influence of inventory competition, artificial intelligence (AI) adoption, and digital marketing intensity on quality improvement decisions within contemporary supply chains. With a focus on enhancing product and service quality, we investigate the intricate relationships among these variables. A quantitative approach involving 380 supply chain professionals reveals that heightened inventory competition, increased AI adoption, and robust digital marketing significantly contribute to quality enhancement initiatives. The study builds upon prior research by empirically validating these connections and offers practical insights for supply chain practitioners. The findings underscore the strategic imperative of organizations to strategically balance these factors to optimize their quality management strategies, fostering customer satisfaction and competitiveness. While offering valuable contributions, the study acknowledges limitations in terms of self-reported data and a specific respondent group. Future research could extend this investigation to diverse industries and geographical contexts. In the end, this study sheds light on the complex interplay that exists between inventory competition, the use of AI, digital marketing, and judgments about quality improvement. As a result, a road map has been provided for efficient quality management of supply chains in the digital age.

This study examines the link between employee competency, creativity, and performance in generating product competitiveness in the weaving industry. It also analyzed the moderating role of time sufficiency in reinforcing employee performance and product competitiveness. This study was designed quantitatively by administering a questionnaire to 662 employees from 331 weaving SMEs in Indonesia using structural equation modelling. The analysis revealed that employee competency positively affects creativity, performance, and product competitiveness. Additionally, time sufficiency was confirmed as moderator in strengthening the linkage between employee creativity, performance, and product competitiveness.

The purpose of this study is to analyze the relationship between the performance of Reverse Logistics and Green Supply Chain Management, to analyze the relationship between Green Procurement Aspects and the performance of Green Supply Chain Management. This research method is quantitative, the analysis of research data uses the partial least square structural equation model (SEM-PLS) with a statistical data processing tool, namely SmartPLS 4.0 software. Research data was obtained by distributing online questionnaires through social media designed using a Likert scale of 7. Respondents in this study were 670 SMEs owners in Java Island, Indonesia. The stages of data analysis are validity test, reliability test and significance test or hypothesis test. The results of this study indicate that Reverse Logistics has a positive and significant effect on the performance of Green Supply Chain Management, Green Procurement Aspects has a positive and significant effect on the performance of Green Supply Chain Management. The novelty of this study is the relationship model between Reverse Logistics variables, the performance of Green Supply Chain Management and Green Procurement in SMEs which was not found in previous studies. Culinary SMEs are expected to be able to participate in supporting environmentally sound development. This is because the concept of Green Supply Chain Management (GSCM) is a concept that aims to minimize the negative impact of an organization and its supply chain on the environment related to climate change, pollution and resources that are not too large. In order to support GSCM, it is necessary to evaluate the extent to which this concept is carried out by Culinary SMEs. By conducting this evaluation, it is hoped that the constraints and obstacles faced by SMEs in carrying out GSCM can be identified. For this reason, it is necessary to have support from related parties, in this case the government, to conduct socialization and counseling and assistance in implementing GSCM.