In this presentation, a systematic review on the design and management of supply networks in retail companies was proposed. Currently, organizations seek to prioritize the management of their supply networks in a comprehensive manner to avoid uncertainty and the intricate connections between the various levels of the supply network, seeking growth in sales, ensuring adequate inventory rotation, supplier management and transportation or inventory-related expenses. In this case, the objective was to promote the concept of design and management of supply networks in retail companies. The review was carried out including the literature of 15 theses and articles in the period 2003-2023 using different reliable databases. Research shows that a good design and management of supply networks in retail companies reduces shrinkage and provides greater control of their stocks, avoiding unnecessary expenses or losses.

This study aims to analyze the relationship between technological innovation and the supply chain of environmentally friendly building materials in the context of a sustainable environment. With the increasing need for more environmentally conscious construction practices, technological innovation plays a pivotal role in enhancing sustainability within the construction industry. Through an extensive literature review, it is found that the adoption of technological innovation in the supply chain of environmentally friendly building materials can have a positive impact on the sustainable environment. Technological innovation enables improved resource efficiency, reduced construction waste, and promotes the utilization of eco-friendly building materials. Moreover, this research highlights the crucial role of the supply chain in mediating the relationship between technological innovation and a sustainable environment. The supply chain plays a vital part in integrating technological innovation into construction practices, ensuring compliance with environmental standards, and fostering wider adoption of sustainable solutions. This study employs a quantitative analysis method, gathering data from various primary and secondary sources. The analysis results demonstrate a positive correlation between technological innovation and the supply chain of environmentally friendly building materials with regard to a sustainable environment. The implications of this research lie in providing a better understanding of the significance of technological innovation and the supply chain in achieving sustainability within the construction industry.

Labuan Bajo Seaport's maritime logistics ecosystem serves the marine logistics supply chain as an essential part of economics and social development in the region. It is one of the economic regions that need to be developed where green operations management must be applied to suppress the negative impact of port operations. The research aims to analyze the influence of green marketing, business, and operation management on Sustainability. A cross-sectional study has been conducted in this research with data processing using partial least squares (PLS) path modeling. The population is the stakeholder of Labuan Bajo seaport, and the samples are 100 with a purposive sampling method. Findings show that green marketing has influenced business, operation management, and Sustainability. However, the green industry also influenced green operation management and impacted Sustainability. The study indicates that Sustainability can be achieved when the seaport operates using green principles from planning to monitoring by the involvement of the stakeholder.

Big data analytics capabilities have piqued the curiosity of academics and practitioners in recent years. However, there has been little research conducted on the effects of these capabilities on supply chain sustainability, particularly in emerging economies. To address this gap, this article attempted to investigate the impact of big data analytics capabilities on the supply chain sustainability of Jordan's hospitality industry using quantitative data derived from 512 managers in senior and middle levels of hotels listed in Jordan Hotels Association (JHA). Structural Equation Modelling (SEM) was conducted for hypothesis evaluation. The research findings proved that the dimensions of big data analytics capabilities, which were infrastructure flexibility, management capabilities, and personnel capabilities, had a significant positive role in enhancing supply chain sustainability. Therefore, the research provided a series of recommendations for managers in these hotels, the most important of which was allocating significant investments in modern data-collecting technologies to record key changes across the supply chain, including manufacturing, transportation, and distribution.

The purpose of this research is to investigate the influence of the halal supply chain on the halal tourism industry and economic growth. The idea was tested using quantitative methodology in this study. The research instrument was a questionnaire filled out by the respondents. The participants in this study were MSME actors in the tourism industry in Banten Province, Indonesia. For this study, 113 participants were selected using purposive sampling, and data were analyzed using a structural equation model (SEM). The findings from this study are that the halal supply chain has a positive and statistically significant effect on the halal tourism industry. In addition, the halal supply chain and the halal tourism industry affect economic growth. These findings contribute as additional literature for further research that the halal supply chain is an essential factor for the halal tourism industry in Indonesia.

This study studies the influence of omnichannel service benefits in customer product purchasing decisions and investigates the omnichannel adoption behavior of customers in fashion apparel retail in Bali. Data collection is completed twice in stages I and II, covering fifteen to thirty days (15-30). The population in this study is a group of Balinese customers with high adaptation to technology. The maximum sample in this study is 210 respondents. The study findings reveal that their path coefficient values supported some hypotheses while some others were not supported. The research findings indicate that the variables of service integration and perceived effectiveness cannot be proposed to expand the UTAUT 2 model. The technology familiarity variable can be the variable proposed to expand the UTAUT 2 model. This study’s findings confirm the inconsistent relationship between the effect of intention to purchase apparel products on product purchase behavior that could be overcome by studying behavioral intention to use behavior using a longitudinal method. Implications of research through the data collection method involves two stages of research by collecting the same sample group, which is declared to be able to observe changes in customer behavior.

This study aims to investigate the effect of demographic factors for nomination committee (NC) on earnings management (EM) in companies listed on the Amman Stock Exchange. The independent variables are gender, age, level of education, and experience, while the dependent variable is EM. The study utilizes various statistical processes through SPSS 28. The results indicate there are no statistically significant differences at the level of significance (α=0.05) in the total study “EM in the listed companies” due to the age and experience variables. In addition, there are statistically significant differences at the level of significance (α=0.05) in the total study “EM in the listed companies” due to the gender variable, in favor of males and due to the level of education. Moreover, there is a significant difference between two degrees of Diploma and master’s degree in favor of the Master's degree by a mean of 3.701, but the Diploma category mean is 3.400 and the significant difference between Diploma and Ph.D. is in favor of the Ph.D. category by mean (3.722), but the Diploma category mean is (3.400).

The aim of this paper is to explore the potential correlation among operational risk and the profitability of Islamic banks in the MENA region. Different measures for profitability were relied upon in previous studies, however, in this article depend on return on assets and return on equity to measure profitability, and efficiency ratio calculated by operating expenses to total assets to measure operational risk. To achieve this objective, the sample comprises 20 Islamic banks from 12 MENA countries, creating panel data for a period of ten years from 2011 to 2020. The analysis was conducted using fixed effect models. The study will analyze and interpret the findings from two financial performance measures, namely, ROA and ROE to get insights into the banks' overall financial situation and their ability to generate profits from their assets and equity. Using one type of operational risk measured by (efficiency ratio) as an independent variable, along with profitability measures by (ROA and ROE) as dependent variables. These measures had a significant negative impact by the operational risk measured by (efficiency ratio). This means when the operational risk increases, this indicates that the management is not controlling the operations of the bank in the best way and inability or failure of the bank's management to effectively utilize the available resources and assets to generate satisfactory profits. This leads to an increase in the operating expenses and hence a decrease in profitability measures.

This paper aims to investigate the impact of pricing strategy and distribution channels on the decision-making process of customers when purchasing green products. The focus is on the satisfaction of customers who purchase these products. The study is conducted on the population of all customers who purchase green products from small and medium-sized enterprises (SMEs). The sample size is determined using a formula that considers the number of variables or indicators. The study uses Partial Least Squares Structural Equation Modelling (PLS-SEM), which is a method used to test variants-based structural equation models with the support of SmartPLS software. The results show that all seven hypotheses are supported, indicating that pricing strategy and distribution channels play a critical role in customer satisfaction and decision-making processes when purchasing green products. The results have implications for SMEs that sell green products as they need to focus on their pricing strategies and distribution channels to increase customer satisfaction and decision-making. This study provides essential insights into the impact of pricing strategy and distribution channels on customer satisfaction and decision-making when purchasing green products. The findings can guide SMEs in developing effective marketing strategies to persuade more customers to purchase green products and contribute to environmental sustainability.

This research investigates how value chains mediate the relationship between innovation strategies and GCG to company performance. The research method used in this study uses an explanatory quantitative approach. The sample used in this study was 60 manufacturing companies in Indonesia. Each questionnaire represents a manufacturing company as a respondent in the survey. Primary data from survey distribution results that passed a validity and reliability test were used in this study. The data obtained were tested using Partial Least Square (PLS). The results show that the value chain acts as a mediator for the influence of innovation strategies and GCG on company performance.