Abstract: This study investigates the complex relationship between organizational structure and strategic planning, emphasizing how business process mapping contributes to decision-making frameworks in organizational design. Through a qualitative case study approach, it illustrates the benefits of integrating organizational structure with business processes to enhance the implementation of an organization's strategic plan. The research highlights the RACI Matrix as a crucial analytical tool in organizational design, ensuring clarity in roles, responsibilities, and accountability while supporting effective decision-making in business processes. Findings underscore the importance of structuring organizations based on optimized business processes to drive efficiency and strategic alignment. The novelty of this research lies in its methodical approach to translating strategic objectives into actionable business process maps, which subsequently serve as the foundation for designing organizational structures through RACI matrix analysis to achieve enhanced role clarity and adaptability. This alignment optimizes operational coherence and strengthens long-term organizational resilience. The study offers a structured framework for objectively designing organizational structures that directly support strategic objectives, providing valuable insights for practitioners and decision-makers in organizational science.

	© 2010 by the authors; licensee Growing Science, Canada. This is an open access article distributed under the terms and conditions of the license. Creative Commons Attribution (CC-BY)

Abstract: Corporate social responsibility (CSR) has gained research attention as the result of the Sustainable Development Goals (SDG), which focus on responsible consumption and production (SDG-12). However, previous studies mainly focused on Carroll’s pyramid of CSR and other facets of CSR practices need to be further explored. The objective of the study is to examine the impact of CSR practices on customer purchase intention in the clothing industry by integrating the Triple Bottom Line (TBL) model and ISO26000 best practices with the Signalling theory as the theoretical foundation. Through an online survey, a total of valid 182 responses were obtained via purposive sampling. Multiple regression was utilized for data analysis. The results show that economic CSR had the strongest impact on customer purchase intention, followed by environmental, social, and customer issues. Surprisingly, there was no significant impact between fair operating practices and customer purchase intention. The current study is unique by integrating the TBL framework with the customer-related ISO26000 CSR practices in a single framework and utilizing the Signalling Theory as the underpinning theory to explain the relationships, which is novel in an emerging market. The results provide insightful implications to the clothing company's management to emphasize the (social, economic, environmental, and customer issues) CSR attributes to guarantee business sustainability and attract consumers in this competitive marketplace.

	© 2010 by the authors; licensee Growing Science, Canada. This is an open access article distributed under the terms and conditions of the license. Creative Commons Attribution (CC-BY)

Abstract: In an increasingly advanced digital era, micro, small, and medium enterprises (MSMEs) face new challenges and opportunities in enhancing their sales performance. The use of innovative technologies, such as ChatGPT and Customer Relationship Management (CRM), is key to improving operational efficiency and strengthening MSME competitiveness. This study aims to analyze the impact of integrating ChatGPT and CRM on MSME sales performance with operational efficiency as a mediating variable. The research employs a quantitative approach using SEM-PLS methodology to explore the relationships between relevant variables. The study was conducted on 100 MSMEs in Subang Regency, Indonesia, using an online questionnaire as the data collection tool. The findings indicate that the integration of ChatGPT and CRM significantly affects MSME sales performance in Subang Regency, with operational efficiency as a mediating variable. First, ChatGPT has been shown to have a significant positive impact on MSME sales performance. This technology facilitates the adoption of new technologies, enhances customer interaction, and enables better service personalization, which directly impacts increased sales volume, sales growth, and revenue. Second, effective CRM implementation also demonstrates a significant positive influence on MSME sales performance. Good customer data management, customer satisfaction, and customer loyalty contribute to increased sales volume, sales growth, and revenue. Third, operational efficiency proves to play a significant mediating role in the relationship between ChatGPT and CRM integration and MSME sales performance. Improvements in operational efficiency through reduced processing times, optimized resource use, and cost reduction support increased sales volume, sales growth, and revenue.

	© 2010 by the authors; licensee Growing Science, Canada. This is an open access article distributed under the terms and conditions of the license. Creative Commons Attribution (CC-BY)

Abstract: Bali is a popular tourist destination in the world, and the main entry point for foreign tourists to Indonesia. Bali is also an area in Indonesia that is famous for producing woven fabrics, which have various characteristics in each region. Gringsing weaving is one of the traditional Balinese fabrics from Tenganan Village which is considered sacred and its manufacture takes quite a long time, and is carried out with special techniques that are very difficult. This study aims to analyze and map factors related to the sustainability of the Gringsing weaving cultural industry, using the Bayesian Network approach. The results of the FGD with related stakeholders mapped the structure that forms Gringsing industrial sustainability, such as income, social capital, incentives, natural capital, custom law, and traditional institutions. Further analysis was carried out using the Bayesian Network technique and GeNIe tools. In forming the structure of thinking about the sustainability of the Gringsing Weaving industry, the related factors include culture, traditional institutions, natural capital, social capital, to economic factors, such as income and special incentives from the government. Specifically, the role of traditional institutions and government (through special incentives) was analyzed, and it was found that both factors can increase the probability of the sustainability of the gringsing weaving industry. The results of the sensitivity analysis also show that the sustainability of the Gringsing weaving industry is highly influenced (sensitive) to the increasing role of traditional institutions.

	© 2010 by the authors; licensee Growing Science, Canada. This is an open access article distributed under the terms and conditions of the license. Creative Commons Attribution (CC-BY)

Abstract: This study aims at exploring the effect of marketing 5.0 as a whole construct on marketing performance and the moderating role of customer resources between these two variables. Moreover, the study aims at examining the effects of marketing 5.0 dimensions, i.e., predictive marketing, contextual marketing, augmented marketing, and agile marketing on marketing performance as well as the moderating role of customer resources in the effect of each dimension on marketing performance. Collecting data by a closed-end questionnaire from a sample consisting of 186 managers and sales persons in clothing shops, the results pointed out that there is a statistically significant effect of marketing 5.0 on marketing performance and there is a statistically significant moderating effect of customer resources between marketing 5.0 and marketing performance. Furthermore, the results revealed that three dimensions of marketing 5.0, i.e., predictive marketing, contextual marketing, and augmented marketing, exerted significant effects on marketing performance. As well, customer resources significantly moderated the effects of predictive marketing and augmented marketing on marketing performance. Such results contribute to marketing performance literature through highlighting the importance of both marketing 5.0 and customer resources together in enhancing marketing performance.

	© 2010 by the authors; licensee Growing Science, Canada. This is an open access article distributed under the terms and conditions of the license. Creative Commons Attribution (CC-BY)

Abstract: This study examines the influence of mental accounting, financial attitudes, financial knowledge, and financial self-efficacy on the financial behavior of diligent students in using fintech. This study differs from previous research because it uses a sample of students who already have a business and often use fintech. Data collection was carried out through the distribution of questionnaires to respondents. This study found that financial attitudes and self-efficacy had a significant effect on financial behavior, while financial knowledge had no significant effect on financial self-efficacy and mental accounting. Mental accounting significantly affects financial attitudes, financial behavior, and financial self-efficacy. These findings prove the importance of mental accounting in increasing the confidence and effectiveness of students who often use fintech and have a business in making financial decisions. This research contributes to developing the theory of planned behavior in the context of financial behavior. It reveals that financial literacy does not necessarily increase financial self-efficacy and mental accounting, especially among students who often use fintech and are just starting a business.

	© 2010 by the authors; licensee Growing Science, Canada. This is an open access article distributed under the terms and conditions of the license. Creative Commons Attribution (CC-BY)

Abstract: The agriculture sector and other agribusinessescan have a long-lasting effect on the environment. The present studyinvestigates the effect of Agricultural Supply Chain Management (ASCM), fromproducer to consumer, on Environmental Sustainability (ES) in the Alkharj governorateby collecting primary data from 312 respondents in the ASCM in Alkharj and byapplying Structural Equation Modelling (SEM). Moreover, the moderating roles ofeconomic and social sustainability in the nexus between ASCM and the ES arealso tested. The results of the analyses show that ASCM directly improves theES in the agriculture sector. Moreover, ASCM also improves both economic andsocial sustainability. Consequently, economic and social sustainability improvesthe ES. Thus, economic and social sustainability have positively moderated therelationship between ASCM and the ES. The results suggest that the governmentof Alkharj governorate should further improve the economic sustainability ofagribusinesses in Alkharj by providing incentives. Moreover, education andtraining programs should be initiated to improve social sustainability. Thus,both improved social and economic sustainability of agribusinesses could encouragesustainable practices to promote the ES in the whole ASCM in Alkharj.

	© 2010 by the authors; licensee Growing Science, Canada. This is an open access article distributed under the terms and conditions of the license. Creative Commons Attribution (CC-BY)

Abstract: The purpose of this study is to investigate the direct effects of environmental sustainability orientation (ESO) on green supply chain management (GSCM), ESO on sustainable performance (SP), and GSCM on sustainable performance (SP). It also examines the indirect effect of GSCM on SP through the mediating role of GSCM. Moreover, it tests the moderating role of environmental collaboration (EC) between GSCM and SP. A total of 155 survey questionnaires were collected from firms with ISO 14000 certification in the manufacturing sector in Algeria. The gathered data was examined using (PLS-SEM) model. The findings showed positive effects between ESO, GSCM, and SP. However, no such effect was detected for the moderating role of environmental collaboration on the links between GSCM and SP. The limitation of this study was the use of only firms with ISO 14000 certification, so future studies should consider a wider range of firms and different scales. Regarding environmental problems, firms in Algeria can apply ESO and GSCM to achieve sustainable performance.

	© 2010 by the authors; licensee Growing Science, Canada. This is an open access article distributed under the terms and conditions of the license. Creative Commons Attribution (CC-BY)

Abstract: This study aims to explore the effect of data analytics quality on company sustainability through operational performance as an intervening variable of Fintech Peer to Peer Lending (P2P) companies registered and licensed at the Financial Services Authority (known as OJK) Indonesia. This study is quantitative research using primary data collected through questionnaires and interviews. The data came from 104 company leaders and involved 91 Fintech P2P Lending companies registered and licensed at OJK until December 2023. Data were processed using statistical tools Structural Equation Modeling (SEM)-Lisrel. The result of processed data indicates that data analytics quality has a positive and significant effect on company sustainability through operational performance as an intervening variable. Data analytics quality with AI-based automation makes repetitive work operations easy, efficient and effective which has implications for increasing the sustainability opportunities of fintech companies.

	© 2010 by the authors; licensee Growing Science, Canada. This is an open access article distributed under the terms and conditions of the license. Creative Commons Attribution (CC-BY)

Abstract: The present study analyzed the relationship between the average annual temperature and the area of Amazonian forest in the departments of Peru during the period 2013-2021, using a panel data model with random effects. The data used come from the National Institute of Statistics and Informatics (INEI) and include the average annual temperature in degrees Celsius and the area of Amazonian rainforest in thousands of hectares, both disaggregated by department. Additionally, CO2 emissions resulting from the loss of tree cover, measured in megatons (Mt) of carbon dioxide equivalent (CO₂e), were considered as a control variable. The results revealed a positive and statistically significant relationship between the area of Amazonian forest and the average annual temperature, denoting that an increase of one thousand hectares in the extension of the forest corresponds to an increase of 0.0004 °C in temperature. In this sense, the finding contradicts the climate-regulating role played by forests, however, this is attributed to the influence of unobserved confounding variables that are linked to both forest area and temperature.

	© 2010 by the authors; licensee Growing Science, Canada. This is an open access article distributed under the terms and conditions of the license. Creative Commons Attribution (CC-BY)

Abstract: Job satisfaction and digital talent are topics of growing interest in the context of digital transformation. Digitalization is changing the way organizations operate and how employees perceive their work. The state and its administrative staff is no exception, as these capabilities are essential to perform operational tasks that underpin the public institution's documentary processes. This study investigates the influence of digital talent (independent variable) on job satisfaction (dependent variable), employing structural equation modeling (SEM) using WarpPLS software. Digital Talent is broken down into three sub-variables: Digital Competencies of Employees (DCE), Capacity for Digital Innovation and Creativity (CIDC) and Adaptability and Continuous Learning (ACL), while Job Satisfaction is measured through two sub-variables: Work Environment (WE) and Professional Development Opportunities (PDO). The analyses revealed that Capacity for Innovation and Digital Creativity (CIDC) has a significant impact on Work Environment, with a path coefficient (β) of 0.13 (p = 0.01). Similarly, adaptability and continuous learning (ACL) positively influence the work environment, with a path coefficient (β) of 0.10 (p = 0.04). In addition, a strong relationship was found between professional development opportunities (PDO) and work environment, with a path coefficient (β) of 0.68 (p < 0.001). For the relationship between digital competencies (DCE) and career development opportunities, the path coefficient was 0.10 (p = 0.04). Digital talent is a key predictor of job satisfaction in administrative staff. The results suggest that investing in the development of digital capabilities, especially innovation and creativity, as well as adaptability, is essential to improve the work environment and career development opportunities.

	© 2010 by the authors; licensee Growing Science, Canada. This is an open access article distributed under the terms and conditions of the license. Creative Commons Attribution (CC-BY)

Abstract: This study investigates the factors influencing the actual usage of freight forwarding services in Indonesia, focusing on the roles of desire, outcome expectancy, and perceived self-efficacy, with delivery risk and perceived trust acting as moderating factors. Grounded in Social Cognitive Theory (SCT), this study examines how personal cognitive factors and external risks influence users' attitudes and behaviors toward freight forwarding services. Data were collected from 616 respondents across Jakarta, Surabaya, and Makassar utilizing a structured questionnaire. Partial Least Squares Structural Equation Modeling (PLS-SEM) was employed to test the hypothesized relationships. The findings reveal that desire significantly influences both attitude and delivery risk, while attitude has a strong direct effect on actual usage. Outcome expectancy and perceived self-efficacy demonstrated weaker effects, particularly on attitudes, suggesting that other factors, such as trust and risk perceptions, play a more significant role in this context. Additionally, delivery risk was found to moderate the relationship between desire and attitude, while perceived trust did not moderate the link between attitude and actual usage. The research underscores the importance of trust-building and risk mitigation strategies for freight forwarding service providers in Indonesia. The study also provides theoretical contributions by applying SCT to the logistics sector and offers practical implications for enhancing service adoption in emerging markets.

	© 2010 by the authors; licensee Growing Science, Canada. This is an open access article distributed under the terms and conditions of the license. Creative Commons Attribution (CC-BY)

Abstract: The swift growth of online commerce has significantly impacted the expedition service industry. As online shopping becomes increasingly prevalent, reliable shipping service has become crucial. Therefore, this study aims to determine the correlation between service quality, customer perceived value, and trust, as well as their impact on customer satisfaction within the expedition service industry. A survey was carried out through various messaging platforms, such as WhatsApp and Telegram, to reach users. Data were then obtained from 165 respondents, who were users of the 8 most popular expedition services in Indonesia (including J&T, JNE, SiCepat, Ninja Express, SAP, and others), followed by PLS-SEM analysis. The results showed that the three independent variables positively influenced customer satisfaction. In addition, trust acted as a mediator, indirectly affecting both service quality and customer perceived value. These results are expected to serve as a foundation for developing more efficient and contextually relevant strategies for expedition companies in the future.

	© 2010 by the authors; licensee Growing Science, Canada. This is an open access article distributed under the terms and conditions of the license. Creative Commons Attribution (CC-BY)

Abstract: This paper analyses the possible determinants that induced Silicon Valley and First Republic Bank to Bankruptcy. We employ financial statements for a sample of Banks in line with the business core of Silicon Valley Bank. The period under assessment ranges from 2006-2022. We estimate an indicator of Bank Efficiency using the technique Data Envelopment Analysis (DEA). The latter indicator is used as the primary step to analyze failure within sample banks. According to the CAMEL model, macroeconomic variables are non-significant but relevant variables that drive failure were: Bank Efficiency, Capital adequacy, Earning ability, and Liquidity position ratio. Our study is relevant for any policy making to prevent any future bank failure.

	© 2010 by the authors; licensee Growing Science, Canada. This is an open access article distributed under the terms and conditions of the license. Creative Commons Attribution (CC-BY)

Abstract: This study sought to determine how CAATS, corporate governance (CG), and EIAF positively and directly influence the quality of financial reports (QFR). In addition to identifying the moderating effect of EIAF on the links between CAATS, CG and QFR in Saudi commercial banks. To this end, data was collected from 293 participants, including administrative managers, board members, internal auditors, certified public accountants, and staff members from the audit and internal audit departments as well as the accounting departments. Using structural equation modelling (SEM) via SmartPls, data was analyzed. The study showed that QFR is positively and significantly affected by CAATS, CG, and EIAF. Moreover, EIAF does not moderate the effect of CAATS and CG on QFR. Hence, this study enriches accounting literature and has implications for both practitioners and policymakers.

	© 2010 by the authors; licensee Growing Science, Canada. This is an open access article distributed under the terms and conditions of the license. Creative Commons Attribution (CC-BY)

Abstract: Products produced by manufacturing companies are always required to meet the requirements set by customers. Manufacturing companies need to maintain product quality by involving internal company components and external partners by using integrated information technology to become supply chain quality integration. All components in the supply chain flow must be committed to maintaining product quality in their respective roles. The research aims to ensure that technology information integration can impact firm performance through supply chain quality integration and resilience. Data collection on manufacturing companies in Java using purposive sampling found 162 companies that had received ISO certification. Respondents were determined to be employees at the middle management level and had worked for a minimum of 3 years. Data processing used partial least squares version 4 to answer all research hypotheses. The data processing results showed that information technology integration influenced supply chain quality integration by 0.588 and supply chain resilience by 0.523 and had no significant effect on increasing firm performance. Supply chain quality integration influences supply chain resilience by 0.288 and increases firm performance by 0.496. Lastly, Supply chain resilience has a positive and significant effect on increasing firm performance by 0.169. The research results provide a practical contribution to the company's top management in maintaining the role and function of technology information integration and the ISO system in maintaining supply chain quality integration. Theoretical contribution to enrich the theory of total quality management and supply chain management.

	© 2010 by the authors; licensee Growing Science, Canada. This is an open access article distributed under the terms and conditions of the license. Creative Commons Attribution (CC-BY)