Business Performance Research Articles

The Effect of Applying the Eligibility Principle in Credit Distribution to Business Actors on MSME Performance: Case Study of MSME Actors in Malang City, Indonesia

The study titled The Impact of Applying the 5C Principle in Credit Allocation to Entrepreneurs on Business Performance (Case Study of Entrepreneurs in Malang City). This study aims to analyze and identify the application of the 5C principle (Character, Capacity, Capital, Guarantee, and Conditions) in credit distribution to debtors and its impact on business performance in Malang City. This research is a quantitative analysis of the characteristics of loan distribution (5C) to entrepreneurs and their company performance. Observation, interviews gathered data, and the distribution of questionnaires to 30 respondents utilizing purposeful random sampling methods. The analysis employed linear regression and hypothesis testing. This study's findings demonstrate that credit distribution (5C) to entrepreneurs positively influences business success in Malang City. The analysis and results obtained in this study indicate several significant findings warrant attention. Specifically, credit distribution may serve as a foundation for enhancing business performance in Malang City. Recommendations for business operators in Malang City include implementing a transparent evaluation process, providing training and education, and fostering long-term relationships with Micro, Small, and Medium Enterprises (MSMEs).

Human capital, competitive advantage, and business performance: A study of Indonesian hospitals

Human capital, competitive advantage, and business performance: A study of Indonesian hospitals

Dnieper regions’ industry development during the war and the need for its innovative modernization

The article analyzes the dynamics of industrial activity in the regions of the Middle Dnieper (Dnipropetrovsk, Zaporizhzhia, Kirovohrad, Poltava, and Cherkasy Oblasts) from 2020 to 2023. These regions played a significant role in Ukraine's industrial complex before the war, which substantially worsened their economic situation. Significant destruction, losses, production curtailment, and relocation are shaping a new economic reality for regional development and impacting industrial development opportunities. The aim of the article is to analyze the dynamics and outcomes of the manufacturing industry in the Dnieper regions amidst the war and regional industrial development policy, considering the need for its innovative modernization. The analysis of the number of active business entities in the regions overall and within the industry showed a gradual adaptation of businesses to risks and a resumption of enterprise activity. However, the volume of sold products in comparable prices decreased, indicating a decline in business performance during the war. A positive aspect was the increased share of manufacturing output in the total sales volume of the regions. A negative trend was identified: a decreasing share of high-tech industrial sectors in the overall industrial structure of the Dnieper regions, which deteriorates the technological level of their economies. The analysis of development programs and tasks for the studied Dnieper regions for 2025 revealed insufficient attention to ensuring the development of the regional industrial complex in most program documents. Furthermore, innovative development and the adoption of new technologies are not currently prioritized in regional policy. This does not align with the necessary technological modernization of the Dnieper regions' economies, crucial both during the war and for post-war recovery. Directions and measures for improving regional policy aimed at the needs of innovative modernization of the regional economy are proposed.

Decarbonization pressure and business performance under the background of carbon neutrality – Evidence from industrial carbon lock-in

Decarbonization pressure and business performance under the background of carbon neutrality – Evidence from industrial carbon lock-in

Sustainable Supplier Selection Based on a Comparative Decision-Making Approach Under Uncertainty

Nowadays, due to the increasing awareness of sustainability and green issues worldwide, companies are forced to implement sustainable projects in their Supply Chain (SC) to maintain and increase their competitive advantage. To enhance business performance and gain a competitive edge, it is crucial to select green and sustainable suppliers in the supply chain, as they play a vital role in executing sustainable projects. Therefore, the research was conducted to select sustainable suppliers in the SC. Initially, a list of indicators for selecting sustainable suppliers was extracted, and these indicators were adjusted and finalized using the fuzzy Delphi technique. Also, the Step-wise Weight Assessment Ratio Analysis (SWARA) technique was used for weighting, and the Fuzzy Weighted Aggregates Sum-Product Assessment (F-WASPAS) technique was used for prioritizing suppliers. In addition, the robustness of the findings was examined using a comparative analysis of different decision methods in a fuzzy environment. The weighting results showed that the product price, transportation cost, and green design and purchasing indicators were of the highest importance, respectively. Moreover, the results of the supplier ranking revealed that the first supplier had the highest priority.

Strong facilities but weak benefits: An empirical evaluation of facility performance and business performance of 14 cruise ports in China

Strong facilities but weak benefits: An empirical evaluation of facility performance and business performance of 14 cruise ports in China

GHRM, Managerial Environmental Concern, CSR Toward Environmental Sustainabilit y and Business Performance in Coal Companies in Indonesia

GHRM, Managerial Environmental Concern, CSR Toward Environmental Sustainabilit y and Business Performance in Coal Companies in Indonesia

STRATEGIC DIPLOMACY IN ACCOUNTING AND FINANCIAL LITERACY FOR ENTREPRENEURIAL GROWTH

Financial literacy is a critical factor in entrepreneurial success, influencing financial decision-making, business sustainability, and economic growth. However, many entrepreneurs lacked the necessary accounting and financial skills to navigate complex financial environments effectively. This study examined strategic diplomacy in accounting and financial literacy for entrepreneurial growth, exploring the role of financial knowledge in business sustainability, risk management, and profitability. Despite the increasing emphasis on financial literacy, many entrepreneurs still struggled with financial planning, investment strategies, and access to funding, leading to poor financial management and business failure. The study is justified by the need to bridge financial literacy gaps and provide policy-driven solutions for empowering entrepreneurs. It is significant because it highlighted the importance of structured financial education, contributing to business success, economic stability, and job creation. The scope covered entrepreneurs across various industries, focusing on their financial knowledge and its impact on business performance. The study is anchored on Resource-based view (RBV) theory to analyse the research. A mixed-methods approach was employed, combining quantitative surveys and qualitative interviews with 500 entrepreneurs. Findings revealed that while many entrepreneurs possessed moderate financial literacy, significant gaps remained in financial risk management, investment strategies, and loan accessibility. The study recommended integrating financial literacy training into entrepreneurial programmes, expanding digital financial education, and establishing financial advisory centres. In conclusion, strategic financial diplomacy is crucial for fostering a financially literate entrepreneurial ecosystem. Policymakers must prioritise financial education initiatives to enhance business growth and economic development.

Architecting Modern MIS with Advanced Data Warehousing Solutions: A Review

Advancements in data management and warehousing have revolutionized the way organizations handle, store, and analyze information. This paper delves into the core components and innovations of data warehousing, emphasizing their pivotal role in enhancing Management Information Systems (MIS). It covers essential processes such as ETL (Extract, Transform, Load), architectural elements like operational data stores, and emerging technologies including cloud-based warehousing, real-time analytics, and in-memory databases. Real-world applications are showcased through case studies of Amazon and Netflix, illustrating the transformative impact of advanced warehousing solutions on business performance. Key challenges such as data security, scalability, and maintenance are examined alongside emerging trends like AI-driven data management, data lakes, and edge computing. This review highlights how robust data warehousing practices enable organizations to drive faster decision-making, improve operational efficiency, and maintain a competitive edge in an ever-evolving technological landscape.

Analyzing the Customer Journey through Data Analytics

The quantitative content analysis identified five underlying themes of the customer journey, namely, service satisfaction, failure and recovery, co-creation, customer response, channels and technological disruption. The results section reviewed and discussed each theme and its sub-themes in turn. The review identified important gaps in the literature related to the key stages of a customer journey. Customer Journey Mapping (CJM) is pivotal for understanding and enhancing customer experiences across touchpoints. The integration of real-time data analytics into CJM has transformed this traditionally static tool into a dynamic framework capable of tracking and optimizing customer interactions. This paper explores the methodologies, tools, and benefits of combining real-time data analytics with CJM. The discussion includes a comprehensive review of related literature, implementation strategies, challenges, and future directions. This paper argues that real-time data analytics enhances CJM by enabling continuous adaptation to customer behaviour’s, resulting in improved customer satisfaction and business performance. Understanding and enhancing customer experiences has emerged as a central focus for businesses seeking to remain competitive in today’s dynamic market landscape. Customer Journey Mapping (CJM), a widely used methodology, provides a structured approach to visualizing the customer's interactions across various touchpoints with a business. The customer journey is becoming more complex due to digitization of business processes, broadening the gap between the proposed journey and the journey that is actually experienced by customers. Customer Journey Analytics (CJA) aims to detect and analyse pain points in the journey in order to improve the customer experience. This study proposes an extended version of the Customer Journey Mapping (CJM) model, to measure the impact of different types of touchpoints along the customer journey on customer experience, and to apply process mining to gain more insight in the gap between proposed and actual journeys. Moreover, this model is used to develop dedicated CJA based on process mining techniques. A case study on e-commerce applies the CJM-model in practice and shows how the combination of process mining techniques can answer the analysis questions that arise in customer journey management. This research contributes to both academic discourse and managerial practice by offering actionable insights into how brands can ethically and effectively engage with digital consumers. It underscores the necessity for marketers to balance technological innovation with consumer trust and transparency. Ultimately, this study provides a robust framework for understanding the digital consumer psyche and offers strategic recommendations for navigating the rapidly evolving landscape of social media marketing.

Vínculos entre el capital intelectual y el desempeño de las pymes mexicanas desde una perspectiva sistémica

Intellectual capital [IQ] emerges from the ability and capacity of human talent to generate value, both present and future, which gives companies a significant competitive advantage. For effective management, it is crucial for organizations to understand the interrelationships between their components and their impact on performance. This article identifies and describes the links between IQ and business performance, as well as its main challenges and barriers when it comes to integrating its components from a Systems Perspective [SP]. Using a qualitative methodology with a descriptive scope, and semi-structured interviews with the companies under study. Links between the three components of the IC and Productivity, Competitiveness, and Profitability are identified, and the challenges inherent in the integration of these components are exposed.

AI in consumer-facing business: How business leaders can leverage data for competitive advantage

This article examines how artificial intelligence transforms decision-making processes in consumer-facing businesses, creating sustainable competitive advantages. The evolution of data from a record-keeping necessity to a strategic asset has fundamentally altered how organizations conceptualize competition. Advanced AI capabilities enable sophisticated customer segmentation, real-time sentiment analysis, and predictive demand forecasting that surpass traditional market research methods. Personalization at scale represents a paradigm shift in customer experience, though it requires balancing automation with authentic connections while addressing privacy concerns. In pricing and inventory management, AI-powered systems optimize decisions with unprecedented precision, while also enhancing supply chain visibility and resilience. Operational excellence through AI implementation demands enterprise-wide transformation of core business processes, performance metrics, and resource allocation models. Strategic implementation requires aligning AI initiatives with corporate objectives, building robust data governance frameworks, establishing ethical guidelines, and developing effective human-AI collaboration models. Organizations that successfully integrate these capabilities create defensible market positions through continuous learning and proprietary data accumulation.

Enterprise integration architecture: Bridging digital divides in modern organizations

Enterprise Integration Architecture (EIA) serves as a fundamental framework enabling seamless communication between disparate systems in modern organizations. As digital ecosystems expand and fragment, EIA has transitioned from a technical consideration to a strategic imperative that directly impacts business performance across industries. This article examines how integration architecture has evolved from point-to-point connections toward API-centric and event-driven models, highlighting the three key components of successful integration: APIs, microservices, and middleware. Through quantitative evidence from industry reports and expert analyses, the article demonstrates how mature integration capabilities deliver measurable advantages in operational efficiency, customer experience, and innovation capacity. The business value extends beyond technical metrics to encompass financial performance, with integrated enterprises experiencing higher revenue growth, improved margins, and greater strategic agility. As organizations continue to navigate complex digital transformations, effective integration architecture emerges as the connective tissue enabling cohesive operations and sustainable competitive advantage in an increasingly interconnected business landscape.

From Corporate Social Responsibility to Employee Mental Well‐Being: The Differential Role of Social and Psychological Capital in Companies' Rural Depopulation Areas

ABSTRACTIn response to the demographic issue posed by rural depopulation, literature has emphasized the necessity of exploring how corporate social responsibility (CSR) improves employees' mental well‐being and strengthens the competitiveness and development of rural enterprises, thereby attracting and retaining residents in vulnerable areas. This study examines how CSR fosters social and psychological capital, leading to improved mental well‐being among employees. Data were collected through an online survey (n = 277) targeting employees and residents of rural businesses in municipalities facing depopulation risk. The results show that CSR has a positive and significant influence on employees' social and psychological capital. Social and psychological capital positively and significantly impacts employees' mental well‐being. However, CSR significantly influences well‐being only when it is mediated by social and psychological capital. This study highlights the importance of CSR management in generating high levels of social and psychological capital. It also contributes to human resource management by identifying social and psychological capital as key mechanisms for achieving higher levels of employee mental well‐being and ensuring the positive impact of CSR. These insights provide valuable guidance for managers in implementing initiatives to improve business performance and address social challenges.

A STUDY ON LONGTERM FINANCIAL SUSTAINABLE STRATEGIES

The study examines how ESG practices improve business performance and support long-term financial sustainability.

Examining the Impact of Covid-19 on the Performance of the Informal Sector Businesses in the Town of Eenhana Ohangwena Region Namibia

The aim of this study was to examine the impact of COVID-19 on the performance of the informal sector businesses in the town of Eenhana, Ohangwena Region in Namibia. The study adopted the mixed methods approach for data collection and analysis. Quantitative data was collected using a questionnaire. The qualitative data was collected using an interview guide with non-structured questions. Ninety-six respondents involved in the survey were sampled through the convenience sampling method. Nine respondents to the interview were selected through purposive sampling. Findings of this study show that COVID-19 had, in most instances, a negative impact on the performance of the informal sector businesses in the town of Eenhana. Informal businesses suffered major decreases in revenue and profits. There was also loss of employment and livelihoods. While some informal businesses have found ways of coping, many have not yet recovered to pre- COVID-19 period levels. The major impact was attributed to lockdowns, the physical attributes of the town, social distancing requirements and imposition of curfews. The study recommends that informal sector businesses should be adaptive to the changing business environment, pandemic or no pandemic. Post COVID-19, it is recommended that the informal sector builds resilience to pandemic shocks. The government should be proactive in putting measures in place to reduce the impact of pandemics in informal market places. This includes developing and disseminating sector- and occupation-specific health guidelines; rapidly extending social health protection and adjusting existing social protection schemes to guarantee access to affordable health care; compensation for loss of income via different programs, including unemployment benefits, food support, universal pensions, child benefits, social assistance programs, and one-off payments. It should also implement measures to maintain informal employment through schemes such as grants, subsidised loans, grace periods on outstanding loans and debt rescheduling aimed at overcoming liquidity crunches, and waivers or deferred payments for public services.

ANALISIS PENERIMAAN QRIS DI KALANGAN UMKM

The purpose of this study is to analyze the acceptance of QRIS among MSMEs. This research approach collects data through literature studies, which involve reading literature from various sources including books, articles, journals and reports using qualitative and deductive approaches. The findings in this study are that the acceptance of QRIS among MSMEs has benefits and positive impacts in simplifying and accelerating the payment system, facilitating monitoring and analyzing transaction history and financial arrangements, improving merchant business performance, developing MSME growth, encouraging efficiency in the economic sector, and accelerating inclusive finance. However, there are still obstacles such as unstable internet connections, security issues and transaction readability, and admin deductions on QRIS. Therefore, with the right strategy, such as education and training, improving digital infrastructure, promotion and incentives, and improving system security, QRIS can be more widely accepted and utilized by MSMEs.

System information accounting in business performance: A systematic literature review

Research Aims: This study evaluates journals discussing the impact of Accounting Information Systems (AIS) on Business Performance to derive useful lessons for addressing future challenges.Design/Methodology/Approach: Using a review framework adapted from Hoque (2014), this study analyzes 58 journals selected through a keyword search ("Accounting," "Information," "System," and "Business Performance"). Themes were identified, and findings are discussed based on the origin of studies and their implications.Research Findings: Four key themes emerged: (1) Innovation Performance – highlighting the role of strategies in enhancing productivity and growth; (2) Innovation Capability – focusing on integrating knowledge and resources for better innovation; (3) Government Regulation – examining financial support and training for business growth; and (4) Competitive Advantage – emphasizing strategic management's role in achieving superior business outcomes.Theoretical Contribution/Originality: The study identifies gaps in research related to emerging technologies like blockchain, AI, and cloud computing while also highlighting trends such as sustainability, security, and AIS’s evolving role in strategic decision-making.Practical Implications: Business leaders can use AIS for better decision-making, governments can design supportive policies, and academics can explore innovative frameworks integrating technologies like AI and blockchain to improve business performance and competitiveness.Research Limitations/Future Directions: Future studies should investigate the integration of blockchain for transparency, AI for automation and fraud detection, cloud-based AIS for security and collaboration, and big data for forecasting and ESG reporting. Additionally, the impact of government regulations on AIS adoption requires further analysis.

Business Communication and Entrepreneurial Motivation as Predictors of Micro-Enterprise Success Among Muslim Women in South Kalimantan

Muslim women entrepreneurs in peripheral regions face unique cultural, religious, and economic challenges that influence their microenterprise development. This study aims to examine the influence of entrepreneurial motivation and business communication on microenterprise success among Muslim women in South Kalimantan, Indonesia. Employing a quantitative, cross-sectional design, data were collected from 85 Muslim women micro-entrepreneurs through structured questionnaires. The instruments measured internal and external communication, intrinsic and extrinsic motivation, and multidimensional indicators of enterprise success. Statistical analysis using multiple linear regression (SPSS 26.0) revealed that both entrepreneurial motivation (β = 0.393, p < 0.001) and business communication (β = 0.431, p < 0.001) significantly and positively affect microenterprise success. The regression model explained 38.4% of the variance in business success (R² = 0.384). These findings highlight the critical role of soft skills—particularly motivation and communication—in sustaining business performance within culturally embedded environments. The study contributes to existing literature by integrating Self-Determination Theory and Relational Communication perspectives, and provides practical implications for designing gender- and culture-sensitive entrepreneurship support programs targeting Muslim women in marginalized areas.

Impact of Data Analytics Interventions on E-Commerce Platforms: Opportunities and Challenges

The rapid growth of e-commerce has necessitated the integration of advanced data analytics to enhance decision-making and optimize performance. This study aims to assess the impact of data analytics interventions on e-commerce platforms, focusing on identifying the opportunities and challenges associated with these technologies. The study conducted a comprehensive review of current literature, case studies, and industry reports to evaluate the effectiveness of various data analytics techniques, including machine learning algorithms, predictive analytics, and customer behavior analysis. Primary data was collected from leading e-commerce platforms through surveys and interviews with key stakeholders. Quantitative data was analyzed using statistical methods to measure the impact of data analytics on sales performance, customer satisfaction, and operational efficiency. The findings reveal that data analytics interventions significantly enhance e-commerce performance by enabling personalized customer experiences, optimizing inventory management, and improving marketing strategies. Specifically, platforms utilizing predictive analytics reported a 25% increase in sales and a 30% improvement in customer retention rates. However, the study also highlights several challenges, including data privacy concerns, the complexity of integrating advanced analytics tools, and the need for skilled personnel to interpret and act on data insights. Data analytics presents substantial opportunities for e-commerce platforms, driving improvements in various aspects of business performance. Nevertheless, addressing the associated challenges is crucial for maximizing the benefits. The study recommends adopting a strategic approach to data analytics implementation, emphasizing the importance of data governance, investing in training, and ensuring compliance with privacy regulations.