Business Efficiency Research Articles

Research on the Dilemmas and Strategies of Digital Transformation in Supply Chain Finance for Commercial Banks

With the rapid development of digital technology, digital transformation in supply chain finance has become a crucial avenue for commercial banks to enhance business efficiency and competitiveness. However, this process faces various challenges related to technology, organization, and regulation. This paper aims to explore the major dilemmas encountered by commercial banks during their digital transformation in supply chain finance and propose corresponding strategies. By analyzing the current state of digital transformation, identifying common issues through data analysis, and addressing challenges related to technology, organization, and regulation, this paper presents improvement measures. These strategies include technological innovation, organizational culture adjustment, and regulatory and policy adaptation. The research results provide practical references and theoretical support for commercial banks undergoing digital transformation in supply chain finance and are significant for advancing the digitalization of the banking industry.

Implementation and impact of integrated information systems in Albanian SME’s

Abstract This research work analyses how information technology improves business efficiency, creates employment, and fosters economic development. This paper investigates the level of integrated information systems used by small and medium enterprises in Albania. The research philosophy employed in this research work based on the case study method, and researcher interaction has been applied as a technique for data collection. Through careful observation and investigation of practical and real cases, a complete picture of the actual interaction of factors and events are obtained. A self-selection sampling technique was used. Through this technique, cooperation with managers was enabled to recommend possible concrete improvements in the systems or subsystems of information they apply. Results indicate that while information technology adoption is growing, significant barriers such as financial constraints and lack of technical skills persist. The empirical work showed that the firms involved in the study used information systems for different aspects such as sales, accounting, or quality control, but they were not integrated. The lack of the “smart” use of the information systems hampered their efficiency and make them less competitive. By leveraging such systems, SMEs can overcome challenges posed by limited resources and achieve sustainable growth.

Improving business performance: A case study at Vietnam dairy products joint stock company

Improving business efficiency is one of the most important goals of enterprises. In the context of current world economic integration, domestic and international competition is increasingly fierce, the requirement to improve business efficiency of enterprises is becoming more urgent. Especially for export enterprises, world economic integration has a very strong impact. In the process of international economic integration, Vietnamese enterprises must face increasingly fierce competition from foreign enterprises. Weaknesses in capital, management experience and technical level are barriers for Vietnamese enterprises in general and enterprises operating in the dairy industry in particular. The basic way to improve business efficiency is to find every measure to increase revenue or reduce costs, or make the rate of revenue increase or reduce costs, or make the rate of revenue increase faster than the rate of cost reduction, especially for dairy enterprises. The article will provide useful solutions to improve business efficiency at Vietnam Dairy Products Joint Stock Company. Keywords: Finance, Business, Business Activities.

Study on the modularization of project operations under the “oil company” model

Abstract A rational and efficient business management and operation model is a prerequisite for the smooth operation of an organization. This study aims to build an intensive and efficient business management model with the characteristics of the “oil company” model. Compared with the traditional business management model, the “oil company” model has significant advantages in terms of organizational structure, communication efficiency, work style and work efficiency, etc. Due to the compression of management levels and the shortening of business chains, the communication efficiency and work efficiency are higher, and the composition of personnel and work style are more flexible. Therefore, based on the theory of the “oil company” and on the idea of compressing management levels and shortening management chains, business management departments should be integrated, streamlined and optimized, and business chains should be sorted out.

Factors Analysis Of Digital Transformation Challenges In Alfamart Company

Technological advancements occur continuously without our notice, requiring us to adapt to them in all aspects of life. Most firms now recognize the importance of digital transformation as a strategy for improving services and business efficiency. Alfamart, a minimarket company in Indonesia's retail industry, is facing a technological transformation. Alfamart offers a range of product categories to accommodate diverse family requirements. The acceleration of digital transformation in Indonesia necessitates the application of digital technology as a digital platform that serves as the foundation for the Industry 4.0 ecosystem by including technologies such as IoT, big data, artificial intelligence, and augmented reality. This study uses quantitative and descriptive approaches to identify the characteristics that challenge digital transformation at PT Sumber Alfaria Trijaya, Tbk (Alfamart), particularly in the International Business & Technology division. The research employs two-factor analyses: CFA (Confirmatory Factor Analysis) and EFA (Exploratory Factor Analysis). According to the research results, 4 (four) factors influencing Alfamart's digital transformation, particularly in the International Business & Technology section, shape the company's digital transformation issues. These challenges include IT, digitalization, digital business, and digital skills.

A Narrative Review: Optimization Algorithms for The Problem of Allocating Shelf Space in Retailing

The Shelf Space Allocation Problem (SSAP) is of great significance in the retail industry since it directly impacts the effectiveness of product placement and organization within a shop. This issue arises from a deficiency in comprehending the strategic arrangement of products, resulting in the wasteful utilization of space. Notably, SSAP has a significant negative impact on store operations and customer satisfaction, resulting in wasted space and a reduction in the number of products that can be displayed to customers. Hence, the careful selection of an optimization method is crucial for effectively managing the allocation of shelf space in retail operations. This study aims to examine optimization algorithm techniques for addressing the issue of shelf space allocation in a particular environment, such as enhancing sales, minimizing congestion, or optimizing space utilization. Several studies have considered several optimization algorithm methods that have been used in solving the SSAP, including Genetic Algorithm (GA), Linear Programming (LP), Dynamic Programming (DP), Simulated Annealing (SA), Particle Swarm Optimization (PSO), and Variable Neighborhood Search (VNS). These methods are selected based on problem characteristics, including nonlinearity, integer requirements for variables, and constraints such as limited rack space. This optimization method helps retailers to effectively optimize shelf space allocation and maximize sales and profits. The study thus reviewed previous papers examining optimization algorithm methods to solve the problem of shelf space allocation. Those methods are crucial in improving product organization efficiency, customer satisfaction, and overall business performance.

THE MODELLING OF CARGO TRANSSHIPMENT OPERATIONS USING THE BUSINESS PROCESS MODELLING TOOLS

This paperwork explores the transshipment operations at the Port of Constanta, Romania, focusing on the unloading of big bags from barges. Utilizing Business Process Management (BPM) software, the study models the transshipment process to identify optimization opportunities. The investigation reveals challenges such as coordination complexities and potential cargo damage, alongside the benefits of cost-efficiency and flexibility offered by transshipment services. Through literature review and analysis, the study emphasizes the importance of efficient business processes and the role of BPM software in enhancing operational efficiency. By employing Aura Portal Modeller for simulation, the study identifies bottlenecks and proposes optimization strategies for the transshipment process. The proposed measures include real-time cargo assessment, inventory tracking systems, equipment analysis, and storage layout optimization. This research contributes to the understanding of transshipment operations and highlights the effectiveness of BPM software in process visualization and analysis, offering insights for enhancing efficiency and mitigating delays in supply chain management.

Factors influencing entrepreneurial intention of university students: An empirical analysis from Islamic University, Bangladesh

Entrepreneurship is becoming more and more acknowledged as a key driver of creativity, economic growth, and job creation. This research is intended to verify the factors influencing Bangladeshi university student’s entrepreneurial inclinations based on empirical evaluations. This paper also examined the relationship between entrepreneurial intention and the factors desire for fulfillment, Locus of control, Family business background and entrepreneurial knowledge. Totally 26 attributes have been taken into consideration for designing questionnaire for the study. A questionnaire survey method is used with 200 respondents. For analyzing data have directly using SPSS (version-21). This study applied multiple regression analysis. This survey result demonstrated that desire for fulfillment and family business background have a significant influence on university student’s entrepreneurial intention. Students are inspired and encouraged to create their own businesses as a career by family businesses. Personal characteristics drive students to take professional risks because they feel driven to succeed. The remaining two factors, locus of control and entrepreneurial knowledge, have no significant influence on university student’s to be entrepreneurs in Bangladesh. The study's conclusions are anticipated to help policymakers create an efficient business plan that will foster the entrepreneurship of recent university graduates in a cutthroat industry and help them better understand their intentions as entrepreneurs in the context of Bangladesh.

Pelatihan Software Akuntansi untuk Musyawarah Guru Mata Pelajaran Ekonomi Daerah Istimewa Yogyakarta

Economic disruption and changes in corporate operations in the Fourth Industrial Revolution will necessitate the understanding and control of artificial intelligence, or robots. This is a major issue, but it is also important for economic teachers to introduce companies that are already successful and sophisticated. Accounting software may help make bookkeeping, analyzing, reporting, and investigating easier and more precise; this concludes an opportunity in this era. Therefore, educational institutions must develop graduates who are adaptable and have soft skills. The Accounting Program and Financial Accounting Pillar team respond to economic teachers at MGMP in the Special Region of Yogyakarta by organizing a discussion forum and simulation to provide them with knowledge and best practices for using accounting software to manage business activities and achieve effective and efficient business outcomes. These exercises involve a class lecture using an andragogic approach. The discussion results suggest that economic teachers have best practices to offer accounting software to their pupils. On the other hand, it can increase teaching motivation for improving both financial and technology for themselves and the topic itself.

JUSTIFICATION OF THE FEASIBILITY OF COOPERATION BETWEEN FREIGHT FORWARDING ENTERPRISES AND CUSTOMS-LOGISTICS INFRASTRUCTURE OBJECTS

The purpose of the paper is to plan the activities of freight forwarding enterprises when organizing cooperation with customs-logistics infrastructure objects to meet customer needs. The efficiency indicators of cargo customs complexes, customs warehouses, and temporary storage warehouses were analyzed. The process of selecting customs-logistics infrastructure objects with varying levels of organizational, technical, and technological support was investigated. The proposed development will enable specialists of freight forwarding enterprises to form recommendations for cooperation with customs-logistics infrastructure objects in accordance with individual customer needs. Methodology. The determination of technical and operational performance indicators of customs-logistics infrastructure objects was implemented based on a simulation model developed in the GPSS software environment. This approach allows for the identification of deviations of generalized performance indicators of infrastructure objects from benchmark levels, which are formed taking into account customer requirements. Findings. To ensure a high level of competitiveness of the freight forwarding enterprise, it is necessary to use modern software systems capable of implementing management decisions regarding the formation of partnerships with customs-logistics infrastructure objects. Based on the assessment of technical and operational performance indicators of cargo customs complexes, customs warehouses, and temporary storage warehouses, and considering the main requirements of service customers, it becomes possible to select the most efficient business entity for cooperation. A significant advantage of the proposed development is the ability to perform a comparative analysis of the efficiency indicators of all studied enterprises in relation to the benchmark infrastructure object. Originality. The proposed simulation model for selecting customs-logistics infrastructure objects will allow specialists of freight forwarding enterprises to make a choice of intermediary organizations based on a comparative analysis of the technical and operational performance of the studied objects. Practical value. The practical significance of this work lies in the fact that the proposed model enables the selection of the customs-logistics infrastructure object that most effectively meets the individual needs of the customer. This will make it possible to plan the work of the freight forwarding enterprise based on the implementation of organizational and management measures that will positively impact the internal processes of the organization and contribute to forming its competitive advantages in the market of freight forwarding services. This implementation will reduce the duration of freight forwarding and customs-logistics services and minimize commercial risks at all stages of foreign trade operations by establishing cooperation with the most efficient intermediary organizations.

Investigating the Factors that Drive the Success of Halal Cloud Kitchen in Bangladesh

With the integration of new technologies, various industries, including the food sector, are experiencing significant transformations. The emergence of Cloud Kitchens represents a notable technological shift within the food industry. This research endeavors to uncover the key factors contributing to the success of the Halal Cloud Kitchen sector in Bangladesh. To achieve this, a structured survey questionnaire was designed and distributed through Google Forms. Three hundred twenty-three responses were gathered using the snowball sampling method and utilized in hypothesis testing employing multiple linear regression. The findings indicate that, among the six variables considered,food quality, packaging, and discounts substantially influence the prosperity of Halal Cloud Kitchens. In contrast,the remaining variables were found to be insignificant. Finally,this study analyzes critical success criteria for Halal Cloud Kitchens in Bangladesh, highlighting food quality, innovative packaging, and strategic discounts. It provides practical suggestions for improving business efficiency and competitiveness, identifying limitations, and suggesting future research areas.

Artificial Intelligence Enabled Supply Chain Management: Unlocking New Opportunities and Challenges

This paper delves deeper into the potential of Artificial Intelligence (AI)-enabled Supply Chain Management (SCM) as a groundbreaking technology capable of revolutionizing supply chain operations and ushering in a new era of possibilities. In today's dynamic business landscape, where agility and efficiency are paramount, AI plays a pivotal role in redefining how supply chains operate. The journey commences with an in-depth exploration of AI's fundamental concepts and its manifold applications within SCM, shedding light on its adaptability across various aspects of the supply chain, from demand forecasting to inventory optimization. Moreover, this paper illuminates the myriad benefits that AI brings to SCM practitioners. These advantages encompass heightened operational efficiency through real-time data analysis, cost reduction through predictive maintenance and optimized routing and a superior customer experience resulting from improved demand prediction and personalized service offerings. However, acknowledging the transformative power of AI in SCM, we must also acknowledge the hurdles in its implementation. This paper underscores the significant challenges that organizations may face while integrating AI into their SCM processes, ranging from data quality issues and concerns regarding privacy and security to the need for domain-specific human expertise. To address these hurdles effectively, the paper proposes a comprehensive framework. This framework encompasses a holistic strategy that aligns AI initiatives with organizational goals, governance and ethics considerations to ensure responsible AI deployment, and a clear roadmap that guides the implementation journey from inception to full integration. In conclusion, this paper offers valuable insights into the opportunities and challenges that AI-powered SCM presents in the ever-evolving business landscape. By providing practical recommendations, it equips organizations with the knowledge and tools needed to successfully harness the potential of AI in their supply chain operations, ultimately paving the way for enhanced competitiveness and sustainability in the future.

Intelligent machines as information and communication technology and their influence on sustainable marketing practices for beneficial impact on business performance: A conceptual framework

Intelligent machines are the machines or devices that make use of artificial intelligence and robotics technologies. It has the ability to accomplish a specific task in the presence of uncertainty and variability in its operating environment. Certainly, it can be used to support information and communication technology to streamline the creation, collection, processing, transmission, and storage of information for sustainable marketing practices. The flawless application of sustainable marketing practices results in beneficial impacts on business performance. In fact, the issue of unsustainable marketing practices can be effectively managed by intelligent machines. Therefore, this study is undertaken to uncover how intelligent machines can influence sustainable marketing practices for beneficial impacts on retailers’ business performance by proposing a unique conceptual framework. The theoretical contributions discuss two techno-sustainable marketing applications. First, intelligent machines improve incremental innovation. This allows retailers to balance technology risk with sustainable marketing and lower the cost of innovations. Second, intelligent machines increase business efficiency by automating sustainable marketing practices. This allows retailers to efficiently manage the inventory, improve fulfilment efficiency, and optimise stock levels. The managerial implications discuss two goals of sustainable marketing practices. First, it can attract sustainability-minded customers who support the retail business for their own well-being. Second, it builds a strong sustainable brand reputation that can lower the price sensitivity.

Factors Affecting the Business Efficiency of Enterprises Under the Vietnam General Department of Defence Industry

Enterprises under the General Department of Defense Industry (GDDI) play an important role in the defense industry of Vietnam, yet so far their business operations has had low efficiency. Therefore, it is necessary to clarify the factors affecting the business efficiency of GDDI enterprises, thereby having timely solutions for the new political and economic situation of the country. Previous studies have only focused on individual GDDI enterprises of different scale and resources and haven't been able to come up with a systemic solution. This article fills the gaps of previous studies by identifying factors affecting the business efficiency of GDDI enterprises between 2016 and 2021. By using quantitative research and linear regression model, the author identified factors affecting the business efficiency of GDDI enterprises and gave recommendations of financial solutions to improve business efficiency for these enterprises.

A Number of Solutions to Improve the Business Efficiency of Enterprises under the Vietnam General Department of Defence Industry

Studying a number of solutions to improve the business efficiency of enterprises under the Vietnam General Department of Defense Industry (GDDI enterprises). The research sample is the statistics of 22 enterprises under the General Department of Defense Industry in the period from 2016 to 2021. By combining qualitative and quantitative research, the author has proposed a number of solutions to improve the efficiency of the enterprises: (i) effective use of financial leverage in GDDI enterprises, (ii) development of a strategy for loan utilization in accordance with the business strategies of GDDI enterprises, and (iii) perfection of the management apparatus.

EFFICIENT CUSTOMER SERVICE AND OPERATION MAINTENANCE BY INVENTORY MANAGEMENT

Effective customer service and operational excellence are critical components of corporate success, particularly in today's changing business world. This paper examines the crucial role that inventory management plays in controlling and improving customer service and operational efficiency in businesses. Companies that efficiently manage inventory levels may ensure the timely fulfillment of client orders, minimize stockpiles, and increase efficiency. Furthermore, efficient inventory management contributes to boosting operating efficiency, lowering logistical costs, and increasing profitability. This study extensively reviews the literature and case studies to explore the best strategies utilized in inventory management to attain these objectives. It also investigates the influence of inventory management on performance and offers useful insights for companies looking to use inventory management as a strategic strategy to gain a sustained competitive advantage.

A cross-country, macro-level investigation into earnings retention during the COVID-19 pandemic

Orientation: Many shareholders rely on dividends for income. During crisis periods, managers, however, tend to retain rather than distribute earnings. Most prior research during the coronavirus disease 2019 (COVID-19) pandemic focussed on company-specific factors and industry association that favour earnings retention. As far as could be ascertained, no studies to date have investigated the role that macro-level factors could have played.Research purpose: The authors hence examined the extent to which government efficiency, business efficiency, infrastructure, economic performance, uncertainty avoidance, long-term orientation and indulgence influenced earnings retention at listed companies in 62 countries from 2019 to 2021.Motivation for the study: Additional insights were uncovered regarding the earnings retention decision during an economic crisis.Research approach/design and method: Earnings retention data were downloaded from Bloomberg database, and country-level data from the International Institute for Management Development, the World Bank, Hofstede Insights and the World Federation of Exchanges. Panel regressions were used to examine hypothesised relationships.Main findings: Contrary to expectation, earnings retention was negatively associated with the cultural dimension that measures uncertainty avoidance. The notion that less earnings would be retained in countries with high indulgence scores was, however, supported. Significant differences in earnings retention were observed across geographic regions and income groups. This descriptive study provides support for the dividend signalling theory in some countries.Practical/managerial implications: Shareholders who rely on dividends should be mindful of signalling behaviour during economic crises.Contribution/value-add: The findings enrich the extant literature on the earnings retention decision during an economic crisis by highlighting the importance of cultural dimensions, notably uncertainty avoidance and indulgence. Recommendations are offered to managers, shareholders and policymakers.

An Evolutionary Game-Based Regulatory Path for Algorithmic Price Discrimination in E-Commerce Platforms

With the advent of big data, the swift advancement of diverse algorithmic technologies has enhanced the transaction efficiency of the e-commerce business. Nevertheless, it is crucial to acknowledge that e-commerce platforms might employ algorithmic technology to enforce differential pricing for various consumers with the aim of maximizing profits, thus infringing upon the lawful rights and interests of consumers. This paper focuses on the algorithmic price discrimination commonly observed on e-commerce platforms. To effectively regulate this behavior, the paper utilizes evolutionary game theory (EGT) to analyze the strategies employed by e-commerce platforms, consumers, and market regulators to achieve stability. This research employs a real-life situation and utilizes parametric simulation to visualize and analyze the process and outcomes of the three-party evolutionary game. The results demonstrate the credibility and feasibility of the article’s findings. Based on our research, we have reached the following findings: During the process of evolution, the strategic decisions made by the game participants from the three parties will mutually impact each other, and various elements exert varying degrees of influence on the strategic choices made by the game participants from each party. Collaborative governance can enable consumers and market regulators to regulate the discriminatory pricing behavior of e-commerce platforms effectively. This article offers valuable insights into the governance of violations in the e-commerce sector based on robust data and model research.

A Financial Analysis and Valuation of Home Depot

This study aims to research and analyze the firm’s valuation of Home Depot by exploring the company’s background and recent events, evaluating company performance, forecasting future development, and discovering the firm’s strategy and risk. The performance evaluation uses liquidity, solvency, and profitability to assess the firm operations and use of resources. The additional valuation adopts current and next year’s forecast financial data to measure the company’s EPS and revenue growth rate, P/E, PEG, and GP/A ratios. The results show that Home Depot has high liquidity, high profitability, and low solvency from its operational performance, as well as a high long-term valuation forecast in the home improvement retail industry. This consequence implies that Home Depot may have efficient business management and sound financial health by effectively meeting short-term obligations and using assets to generate revenue. Meanwhile, the company may also pose several risks, including an unstable economic environment, difficulty meeting long-term obligations, the continued decline in annual gross margins and ROIC, and potential stock overvaluation for investors.

Analysis of the Efficiency of Swallow Cultivation as an Agribusiness Effort in Society

This research aims to analyze the efficiency value of swallow cultivation as an agribusiness effort in the community in Bone Regency. The demand for swallow nests on the world market is still very high, so to meet market demand, people are starting to try to cultivate swallows by building swallow houses, including in Bone Regency. Every business, including the swallow business, is certainly not free from various risks, especially in terms of financial risks, even though the production volume is quite high. Therefore, swallow breeders must know the analysis of the business they are carrying out, not only limited to how to maintain and cultivate swiftlets to produce nests as the main product of production. This research uses quantitative research methods with data collection techniques using questionnaires distributed to 30 wallet bird entrepreneurs. The results of the research prove that the business efficiency value for swiftlet cultivation in Bone Regency with a period of 1 - 4 years is 12. Meanwhile, businesses with a period of more than 5 years obtain a value of 23. This explains that the swiftlet cultivation business in Bone Regency has been implemented. efficient because the R/C Ratio value is > 1, meaning that every Rp. 1 of costs incurred in the swiftlet cultivation business over a business period of 1 – 4 years will generate Rp. 12. Meanwhile, businesses with a business period of more than 5 years will generate revenues of IDR. 23.