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.

SMEs always require dynamic capabilities for enhancing their performance, therefore, this research aimed to examine the influence of strategic agility and supply chain agility on SMEs’ performance. Moreover, it investigated the moderation of innovation capability in the relationship between strategic agility and SMEs’ performance. Furthermore, the moderating role of innovation capabilities was identified in the relationship between supply chain agility and SMEs’ performance. The data for the research was gathered from 398 respondents, and Smart pls was used for analysis. The results highlighted that strategic agility and supply chain agility significantly influence SMEs’ performance. In addition, innovation capability can moderate the relationship between strategic agility and SMEs’ performance. Whereas innovation capability does not moderate the relationship between supply chain agility and SMEs’ performance.

The purpose of this study is to analyze the relationship between eco-efficiency and sustainability performance, the relationship between eco-supply chain management and sustainability performance and analyze the mediating role of Eco-Supply Chain Management on the relationship between eco-efficiency and sustainability performance. The study method is a quantitative survey which is executed through 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 590 SMEs owners in Java Island, Indonesia. The results of the study indicate that eco-efficiency had a positive and significant effect on sustainability performance, green supply chain management (GSCM) had a positive and significant effect on sustainability performance. GSCM also plays a full mediating role in the relationship between eco-efficiency and sustainability performance. This research is expected to be a source of reference for further research in discussing issues related to the implementation of eco-efficiency and GSCM.

Today's competition is among supply chains rather than enterprises as independent actors. Additionally, the success of the actors within the SC network, through the improvement of the global performance, depends on how well they handle the growing environmental problems. For this reason, much attention is given to the greening concept. This paper aims to investigate the Green Human Resource Management (GHRM) impact on Green Supply chain Management (GSCM) in a strategic sector, namely the pharmaceutical sector. Our interest to deal with this issue was aroused by the fact that there are no studies exploring the causality relationships in the pharmaceutical sector in Saudi Arabia. Based on deductive methodology, a questionnaire has been developed. A research sample included 109 pharmaceutical companies operating in KSA. The results highlight a significant impact of GHRM on GSCM practices. In other words, training and performance appraisal, recruitment, and eco-behavior-based rewards influence GSCM practices positively. Based on the results, the study provides new theoretical insights and practical suggestions.

The purpose of this paper is to investigate potential links between Blockchain technology (BCT) and big data analytics (BDA) with supply chain risk management (SCRM) and supply chain performance (SCP) in the Jordanian Chemical and Cosmetic Industries Sector. Additionally, the paper tests a conceptual model that links SCRM to indirect effects. To test our proposition, data were collected from 364 employees working in Jordanian Chemical and Cosmetic Industries Sector. The data were analyzed using structural equation modeling with aid of the Lavaan R package. The results show that the influences of blockchain technology and big data analytics on supply chain performance do occur directly, and indirectly through the cascading of a supply chain risk management.

Businesses play an important role in the economy in most countries. Businesses contribute to increased productivity, output and jobs for the economy. Therefore, governments of countries always create favorable business environments to help businesses operate more efficiently, and thereby contribute to the economy. Transforming the industrial revolution 4.0 has brought businesses certain benefits to operations, improving productivity and efficiency. Using data in real estate businesses, through regression analysis, the research results confirm the technology factor has not yet affected the financial performance of enterprises, which can show that businesses need enough time to absorb technology in production activities to have a change in its output. In addition, there exists the negative relationship of leverage in the business and financial performance. Or it can also be confirmed that enterprises that choose their own capital are often more effective than enterprises that choose capital from loans and external financing. The study also confirms that enterprises with the ability to manage total asset turnover have higher financial efficiency. However, the research shows that interest rates have a negative effect on business operations, businesses with high interest rates have a negative effect on business operations, and vice versa.