In this digital era, collaborative management is needed to improve service quality and be supported by multiple stakeholder participation to provide optimal service. This research aims to investigate the role of collaborative governance in the quality of immigration services and the role of numerous stakeholder participation in the quality of immigration services. Investigate the correlation between supply chain service and service quality. This research method uses a quantitative method approach, research data was obtained by distributing online questionnaires via the Google Form platform. The questionnaire is designed to contain statement items on a Likert scale of 1 to 7. A 7-point Likert scale can minimize measurement errors and be more precise. The Likert scale used in this research is (1) strongly disagree, (2) disagree, (3) quite disagree, (4) Neutral, (5) quite agree, (6) agree, (7) Strongly agree. The respondents for this research were 567 senior employees of the immigration department in Indonesia who were determined using a simple random sampling method. Research data analysis uses the partial least squares (PLS) structural equation modelling (SEM) approach with data processing tools using SmartPLS 4.0 software. The variables in this research are the dependent variables, namely collaborative governance, and multiple stakeholder participation and the dependent variable is the quality of immigration services. The stages of data analysis are validity testing, reliability testing and significance testing of hypothesis testing. Based on the results of the analysis and discussion that have been presented in this research, this research uses the Partial Least Square (PLS) method for data analysis, it can be concluded as follows, it is concluded that collaborative governance has a positive and significant relationship to the quality of immigration services, multiple stakeholder participation has a positive and significant relationship to the quality of immigration services. Supply chain service has a positive and significant relationship with service quality. Implementing collaborative governance can encourage improvements in the quality of immigration services. Implementing multiple stakeholder participation can encourage improvements in the quality of immigration services.

As one of the busiest airports in the world, organizational performance is the main focus. Problems that occur in organizations are many employees who complain about their work, employees who cannot fully comply with applicable regulations and policies, many employees who often come late to the office and do not comply with working hours according to the work times determined by the company. This research aims to analyze and test the influence of Quality of Work Life (QWL) and Knowledge Management on Organizational Citizenship Behavior which is mediated by Job Satisfaction, moderated by Knowledge Sharing and Self Efficacy at Angkasa Pura. The population in this research was Angkasa Pura Indonesia employees, totaling 151 people. The sample used was 110 employees which was calculated based on the Slovin formula. The sampling method uses convenience sampling. The data collection method uses a survey method, with the research instrument being a questionnaire. This research method uses the Partial Least Square (PLS) data analysis method using SmartPLS 3.0 software. The research results show that the quality of work life has no effect on organizational citizenship behavior. Knowledge management has a positive and significant effect on organizational citizenship behavior. Quality of work life and Knowledge management has a positive and significant effect on job satisfaction. Job satisfaction has a positive and significant effect on organizational citizenship behavior. Job satisfaction is unable to mediate the influence of quality of work life on organizational citizenship behavior. Job satisfaction is able to partially mediate the influence of knowledge management on organizational citizenship behavior.

This paper examined technology information as the factor that drives productivity among Small and Medium Enterprises (SMEs), particularly the effect of innovation on the performance of SMEs and the effect of Customer Relationship Management (CRM) Technology on industrial performance. The mediation of CRM Technology on the effect of innovation on company performance was examined as well. Survey questionnaire was distributed online to 544 firms, and data were analyzed through structural equation models using Amos version 23. Results show that innovation increases productivity (performance) of small businesses and plays a positive role on information systems. However, innovation had an insignificant role on industrial Performance. Meanwhile, CRM Technology shows no mediation in the relationship between innovation and performance. Generally, results proved the significance of innovation in enhancing company performance.

The objective of this research was to gain a deeper comprehension of how individuals perceive and respond to cybersecurity and how various internal and external factors influence these behaviors and attitudes. Conducted at ABC organization in Saudi Arabia, the study employed the qualitative methodology. Two online focus groups were employed featuring open-ended questions. The data were subsequently analyzed thematically using inductive and deductive coding techniques. Several theories were used as theoretical lenses to analyze the data. After the collected data had been analyzed, three main themes emerged: (a) perceived safeguards and threats, (b) personal and professional experience in information security, and (c) necessity of education and raising awareness. Additionally, two sub-themes were revealed: (a) costs and benefits and (b) necessity of safeguard measures and attaining trust. The study’s identified themes and sub-themes offer a thorough comprehension of the demographic, social, cultural, and internalized factors influencing cybersecurity-related behavior. The identified themes could potentially be applicable to other settings. Future qualitative research could further explore the transferability of these findings by conducting similar studies in different organizational, cultural, and linguistic contexts. It is also recommended for future quantitative research to delve deeper than surface-level data and consider underlying meaning, factors, connections, or relationships that may skew the results. It is crucial to delve into hidden meanings, not just accept data at face value.

This research endeavors to dissect the intricate dynamics surrounding the growth of Micro, Small, and Medium Enterprises (MSMEs) in Indonesia, specifically examining the influence of logistics and distribution efficiency, with a nuanced emphasis on the mediating role played by supply chain dynamics. Employing a quantitative methodology, the study administered questionnaires to MSME owners or managers, employing linear regression and mediation analysis techniques for data interpretation. The findings of this study illuminate a positive influence of both logistics and distribution efficiency on supply chain dynamics, subsequently fostering the expansion of MSMEs. A noteworthy revelation is the discerning mediating effect of supply chain dynamics, acting as a pivotal link between the efficiency of logistics and distribution processes and the substantial growth of MSMEs. This underscores the paramount importance of supply chain dynamics as a fundamental catalyst for the sustainable development of MSMEs. The novelty of this research lies in its innovative mediation approach, shedding light on the internal mechanisms that intricately connect logistics and distribution efficiency to MSME expansion. By delving into these relationships, the study offers a fresh perspective on how MSMEs can strategically bolster their growth trajectories. The practical implications are substantial, suggesting that a concentrated effort on optimizing supply chain management could serve as a strategic linchpin for supporting the expansion and sustainability of MSMEs in Indonesia. This study contributes valuable insights to the ongoing discourse on MSME development, advocating for a holistic strategy that encompasses logistics, distribution efficiency, and supply chain dynamics to fortify the foundations of sustainable growth.

The goal of this research is to test the mediating effect of product symbolism on the relationship between conspicuous consumption and social identity formation in the branded clothing sector of young adults. Young adults between the ages of 20-35 who wear branded clothes in Sri Lanka were considered the target population. The data was collected through a survey to find answers to the identified research questions through a quantitative approach. The Snowball sampling method was used as the sampling method for this study. The Sobel Test was carried out using an online calculator to measure the statistical significance of the mediation. The results showed that the effect of conspicuous consumption on social identity formation mediated through product symbolism could be judged as statistically significant. The findings can help with market segmentation and brand positioning. Knowing these symbolic value attachments to branded clothes, marketers can create their marketing mix strategies to provide solutions for self-image enhancement and sustainable competitive advantage from both consumer and company points of view.

Formative policy evaluation is an assessment process carried out periodically during policy implementation to ensure that the policy is running according to the expected objectives. Consistency in development planning includes continuity and harmony between short-, medium- and long-term plans. A smooth supply chain refers to the effectiveness and efficiency of the flow of goods and services from producers to consumers. The level of community welfare is measured through economic, social and health indicators. This research aims to analyze the influence of formative policy evaluation and consistency of development planning on the smooth running of the supply chain and its implications for the level of community welfare in Kebumen. This research uses quantitative methods with survey techniques involving respondents from various related sectors in Kebumen. Data was collected through questionnaires and in-depth interviews, then analyzed using statistical methods to test the proposed hypotheses. The research results show that formative evaluation of policies and consistency of development planning have a positive and significant influence on the smooth running of the supply chain. Apart from that, a smooth supply chain has been proven to contribute significantly to increasing the level of welfare of the people of Kebumen. These findings underline the importance of continuous formative evaluation and consistent development planning to support supply chain efficiency and improve community welfare. The implication of this research is the need for the Kebumen regional government to strengthen policy evaluation mechanisms and maintain consistency in development planning to ensure a smooth supply chain which ultimately improves community welfare.

This research investigated how data privacy practices may impact reverse logistics in the automotive engineering sector, particularly by examining whether environmental efficiency plays a mediating role. This research uses the Resource-Based View (RBV) and Dynamic Capabilities Theory (DCT) to understand how data privacy-driven processes support environmental practices and reverse logistics optimization. Primary research is done through structured questionnaires of automotive engineering professionals. The partial least squares structural equation modeling (PLS-SEM) approach tested the relationships amongst data privacy, environmental efficiency, and reverse logistics. However, the results further clarify how key intermediate outcomes, after all, improved environmental efficiency, affected by robust data privacy practices, may enhance reverse logistics processes. The nexus of data privacy and environmental efficiency highlights the critical need to embed respect for private sector information into logistics strategies that achieve superior business performance and also protect corporate sustainability. The findings suggested that environmental consequences must be considered in the flexibility of data-privacy measures with important strategic implications for firms operating in a complex and more environmentally conscious market. This study makes a novel contribution to the extant literature by empirically detecting how environmental efficiency mediates data privacy practices and reverse logistics. These findings will be useful for industry practitioners to use data privacy to enable sustainable logistics management of business operations within automotive engineering.

The research aims to examine the role of supply chain strategy on eco-friendly commodity products and competitive advantage to improve financial performance of plastic recycling industries, export commitments and circular economic regulations as an intervening variable to see whether it will be better. This research involved a saturated sample of 176 employees in plastic recycle industries. Quantitative analysis was carried out through a survey approach using questionnaires and the Smart-PLS model structural analysis method. The interesting finding of this study is the eco-friendly commodity supply chain strategic and competitive advantage of plastic recycling products has a positive effect to improve financial performance. The circular economy regulation has a positive support also in this effect as well without any export commitment to the Indonesia plastic recycling industry. The importance of optimizing local resources in the eco-friendly commodities as recycling products to become a competitive advantage will be potentially in the export market.

The study aimed to clarify the most important interconnected factors in the tourism sector “especially in hotels” that contribute to enhancing the interaction of current customers of hotels operating in tourism sector in light of the presence of the customer’s hotel experience as a moderator variable, through an empirical study on hotels, based on an analysis of the opinions of a sample of hotels customers in this sector. The study has been done depending on a questionnaire designed for this purpose and the study employs SmartPLS to analyze the data collected. The study found that the variables: employee efficiency, improving service quality, re-engineering business processes, and enhancing customer relationship management affect the business output generated by current customers of hotels, but the impact of these factors varies on the customers repurchase intention. The factor (Employee’s competencies- EC) has the greatest degree of correlation with an impact coefficient of (-0.227), while the lowest degree of correlation is for the factor (Reengineering business process- RBP) with an impact coefficient of (-0.034). By adopting the variable (CSE) as a moderator variable, the relationships between the independent factors and the dependent factor showed a significant change from the inverse relationship to the direct relationship. The study also showed, through the coefficient of determination (16.1%), that the selected independent factors can be developed either by expanding the sample or by selecting other simple factors or a composite of more than one factor. The moderator variable showed a negative effect on the relationship between the dependent factor (CR) and both factors (ERM and ISQ), while its effect was positive on the relationship between the dependent factor and the other independent factors (RBP and EC).