Efficiency Of Business Operations Research Articles

The driving force: organizational resilience of OKKO network

Learning outcomes After completion of the case study, the students would be able to identify and evaluate organizational culture as a critical element of organizational resilience and assess its fit to the business context, evaluate different elements of organizational resilience and their contribution to business adaptation and develop leadership approaches that help adapt and leverage organizational culture to foster individual, team and organizational resilience. Case overview/synopsis This teaching case covers topics of organizational leadership, including organizational culture and organizational resilience. This case study is appropriate for the postgraduate and executive education programmes. This case study covers the approach to organizational leadership and resilience of the OKKO, a Ukrainian retail petrol station network. The dilemmas considered by top managers of the company emerged in February–April 2022 amid the unfolding Russian invasion of Ukraine. The case study protagonists solved multiple business and organizational dilemmas to continue efficient business operations while allowing the organization to adapt to a complex and fast-changing environment. They leveraged a distinct corporate culture, strong employee engagement and established business processes and management practices to ensure the viability of the business. Complexity academic level This case study is appropriate for postgraduate and executive education programmes. The level of difficulty is light to medium. Recommended pre-requisites are understanding human resources management terminology and reviewing preparation materials. The case study is suitable for teaching courses in leadership, people management and organizational development that cover corporate culture, leadership and organizational resilience. Subject code CSS 6: Human resource management Supplementary materials Teaching notes are available for educators only.

Media influences on corn futures pricing

Abstract Understanding agricultural commodity futures is crucial for efficient business operations. This study employs textual machine learning on 290,271 articles (2009–2020) focusing on corn markets, aiming to model the impact of news on corn futures pricing. Our novel approach enables the identification of seven distinct topics within corn news, offering a comprehensive view of the news coverage spectrum. Soybean biofuel news notably influences corn prices, while exports, weather and wheat news significantly impact pricing uncertainty. These insights deepen our understanding of factors shaping corn futures and highlight machine learning’s potential in agricultural economic analysis, enabling more accurate market predictions and policy decisions.

Analysing firm-level impacts of high-speed railways on reducing business costs: evidence from China

ABSTRACT Numerous studies have revealed that high-speed railways (HSRs) can efficiently reduce transportation costs for firms and therefore bring more business capacities to firms in regions with HSR services. This paper aims to adopt the difference-in-difference (DID) and PSM (propensity score matching) DID methods to examine the HSR’s causal effects on business costs. The author finds that business costs are significantly reduced due to the operation of HSR lines. Besides, private firms and firms in the secondary and tertiary sectors would experience more reductions of business costs encouraged by the HSR than state-owned and agricultural firms. The placebo test and parallel trend test have proved the feasibility of this study. Finally, this paper provides policy suggestions that the construction of HSR lines needs to be encouraged in order to promote the higher efficiency of business operations for firms and more-balanced spatial business developments in China.

Supplier concentration and firm risk-taking: Transaction cost perspective

This study examines whether and how supplier concentration affects firm risk-taking. While the literature mostly focuses on customer concentration and firm risk-taking, it overlooks the role of suppliers. Based on a sample of Chinese listed firms from 2007 to 2020, we fill this gap by demonstrating that supplier concentration significantly increases firm risk-taking. Our findings remain robust to alternative measurement and endogeneity tests. Regarding the underlying channel, high inventory management efficiency (i.e., low transaction costs) amplifies the positive effect of supplier concentration on firm risk-taking. Additionally, this positive effect is more pronounced in industries more inclined to efficient business operations, specifically those with higher participation in Global Value Chains and with lower market monopoly power. Collectively, our results suggest that the hypothesis from the transaction cost perspective well explains the positive effect of supplier concentration on firm risk-taking.

The Impact of the Use of Fintech on Enterprise Value

With the evolution and progression of fintech, an increasing number of enterprises have introduced fintech. However, it is still unclear whether fintech can improve enterprise value in practical application. This study collected relevant data of Shanghai and Shenzhen A-share listed companies in China from 2011 to 2019, and analyze the objective impact of fintech on enterprise value by linear regression. Linear regression model was established, descriptive statistics were performed, collinearity problem was excluded, and significance level was observed. By conducting rigorous empirical research to explore the use of fintech on the value of enterprises. Through this research, it is found that the use of fintech has a significant improvement on the value of enterprises, indicating that fintech is conducive to improving the efficiency of business operations and improving their performance in the market. Further research finds that the significance level of small enterprises is significantly positive at the 5% level. It is speculated that this is because for small enterprises, the technology level is relatively backward compared with that of large enterprises. At this time, the introduction of fintech will greatly promote the development and value of enterprises. Finally, it is concluded that relevant enterprises can improve their self-value by introducing fintech.

JUSTIFICATION OF THE MODEL OF STRATEGIC MANAGEMENT OF CHANGES AND DEVELOPMENT OF THE ENTERPRISE'S DIGITAL POTENTIAL IN NEW ECONOMIC REALITIES

The article clarifies the essence and components of the digital potential of the enterprise (including: digital technologies, digital data, digital knowledge and competences, digital strategy), it is proved that the use of the digital potential of the enterprise leads to an increase in the efficiency of business operations, increased profitability, improved interaction with customers, increasing competitiveness, and strategic management of changes and development of the digital potential of the enterprise is necessary for effective functioning in the conditions of the modern global market, as it helps enterprises to be competitive, accelerates development and allows to adapt to changes in society and technology. The steps that should be taken in order to carry out strategic changes to improve the digital potential of the enterprise are determined, the problems that may arise and which can be overcome through careful planning and the involvement of experts from various fields are identified, the main factors that affect the effectiveness of the implementation of strategic changes are considered regarding the improvement of the digital potential of the enterprise, the directions on which it is advisable to focus for the strategic management of the development of the digital potential of the enterprise are determined, while it is emphasized that each enterprise has its own unique needs, therefore it is important to carefully analyze the specific situation and develop a management strategy that will best meet the existing needs of the enterprise, the stages by which it is appropriate to justify the model of strategic management of changes and the development of the digital potential of the enterprise in the new economic realities are motivated, it is clarified that additional advantages and effects will be generated, which provides for the expansion of opportunities for increasing the efficiency of business operations, increasing productivity and improving innovative processes, increasing competitiveness, expanding the market presence of the enterprise, increasing the level of data protection and cyber security, improving the flexibility of communication interactions and access to information, improving the competitive image of the enterprise, reducing the impact on the environment, etc.

ARTIFICIAL INTELLIGENCE FOR BUSINESS EFFICIENCY AND CIVIL DEFENCE FOSTERING

In today's high-tech society, artificial intelligence technologies are used to increase the efficiency of business operations and facilitate the management of social and economic systems. In the conditions of unforeseen consequences of climate change and regional military conflicts, artificial intelligence technologies are becoming useful for improving civil security. This article explores using artificial intelligence technologies to improve economic efficiency and civil protection levels. Based on the VOSviewer bibliometric tool, the article highlights eight blocks of scientific research related to artificial intelligence and civil protection. The results prove that artificial intelligence, civil defence (along with risk management and preparedness) are separate building blocks for all other connections. As part of the empirical survey, it was found that there is no significant relationship between the integration of artificial intelligence and the accuracy of business decisions. Organisations may need to examine other factors contributing to the accuracy of business decisions, as AI integration alone may not be the deciding factor. Artificial intelligence can be used for civil protection purposes such as forecasting, warning, management of emergencies, and formation of an information base and emergency response scenarios. The article states that one of the advantages of using artificial intelligence is access to "big data" and the possibility of online analysis "in the cloud", forming almost instantaneous information support for management decisions. However, it should not be forgotten that all responsibility for using artificial intelligence technologies, including ethical components and related consequences, rests with the person. The principles of efficiency embedded in the technological aspects of the use of artificial intelligence may not coincide with universal human values, creating challenges and clear threats to the use of such technologies in social practice.

The Role of Big Data Analytics Capability to Achieve Competitive Advantage with the Mediation of Business Model Innovation: A Dynamic Capability View

The research aims to identify the function of big data analytics to attain competitive advantage through the mediation of business model innovation.260 samples were taken from experts in Pakistan's manufacturing & service sectors. Data analysis was done using (Smart PLS). The findings demonstrate that big data analysis capability (BDAC) has a considerable impact on competitive advantage. By using big data, companies can make rational, data-driven decisions to satisfy customers, sustain and resilient supply chain management, low production costs, and efficient and effective business operations. Similar to how BC affects competitive advantage, business model innovation partially mediates this effect. Additionally, the influence of BDAC on both competitive advantages & new business model innovation is moderated by organizational IT infrastructure. This research presents a unique scenario of big data analytics in which firms use bid data inside to innovate their established business models, resulting in considerable competitive advantage in emerging countries like Pakistan.

China's education sector: Investigating factors to improve business operational efficiency in a highly competitive environment

The purpose of this study is to investigate the human factor, organisational factor, and political factor for enhancing business operational efficiency in a highly competitive environment in China's education sector. On a global scale, China has garnered recognition for its achievements in the field of education. However, there are significant differences in higher education resource allocation among the many Chinese provinces as a result of the pursuit of scale and speed, as well as unequal development across the country. Therefore, there is a need to investigate the factors that influence the operational efficiency of the Chinese educational sector in a highly competitive environment. A cross-sectional design was utilised to conduct an online survey with 121 education sector employees. According to the findings, the organisational factor is the strongest predictor of business operational efficiency, followed by the political factor. The human factor, however, was not a significant predictor. This study discovered that changes in organisational and political factors can have an impact on the operational efficiency of any educational sector. As a result, it is suggested that clear reporting and an organised hierarchical structure be implemented across all departments. As a result, the educational institute will be able to maintain its business operational efficiency more easily.

Risk hedging for VaR-constrained newsvendors

Risk management significantly impacts the efficiency of business operations. We examine the effects of corporate risk preference on optimal ordering and risk-hedging decisions under a value-at-risk (VaR) constraint from short-term (only demand is uncertain) and long-term (both demand and supply are uncertain) perspectives. We find that under the short-term view, the impact of the shortage cost on the optimal order quantity is weaker than that of the unit net residual value. Moreover, managers can achieve a balanced management of profit and risk by using inventory to maximize profit and selecting the right option to hedge risk. Specifically, risk-averse firms can manage risk by selling a sufficient number of put options with a low enough strike price. On the other hand, risk-seeking firms should sell an adequate number of call options with a high enough strike price to meet the VaR constraint. In the long-run, we broaden the scope of applying optimal risk-hedging strategies for firms with different risk preferences. The optimal risk-hedging strategies within a specific range will be consistent with short-term ones. Otherwise, any option that satisfies the VaR constraint can be used to control risk. Our results enrich the literature on profit-risk hedging and ordering decisions based on the newsvendor model with the VaR constraint. They also help firms manage their inventories and control risk simultaneously. It is of great value to firms that are not only interested in short-term benefits but are more focused on the long-term increase in firms’ value.

Lean management accounting, elimination of waste in the company

The purpose of this study is to outline the current problems with the company's documentation workflow process and propose a plan to implement a new automated system to eliminate waste and improve the company's cash flow. Every enterprise is required to accurately record business operations. Accounting is the foundation of an organization, serving not only to meet legal requirements, but also to support management processes. In the case of large enterprises, complex accounting carries the risk of problems with timely and correct accounting, which can lead to delays in payments, reminders, collection procedures and interruptions in deliveries. As a result, it becomes crucial to put processes in place to safeguard liquidity. The study includes an analysis of the company's current documentation workflow process and identification of problems associated with it. A plan is then proposed to implement a new automated system to eliminate waste. The methodology is based on an analysis of the company's internal data and available technological solutions. The main results of the study include the identification of existing problems in the documentation workflow process and a plan for implementing a new system. The findings indicate that improving process efficiency can help increase the company's cash flow. The study introduces a new perspective on records management in enterprises, especially in the context of eliminating waste and improving liquidity. The theoretical value of the work lies in identifying opportunities for effective records management in the context of supporting business processes. The introduction of an automated documentation workflow system can bring practical benefits, such as reducing payment delays, avoiding debt collection procedures and improving the overall efficiency of business operations.

Digital Transformation in Business Operations Management

The development of technology and digital transformation are important factors in improving business performance in Indonesia, with the government and companies needing to face challenges and implement efficient operational management to stay competitive in the digital era. The purpose of this study is to determine the application of digital transformation in business operational management. The method used in this research is a literature study method with a qualitative approach. The data analysis uses Miles and Huberman analysis, namely Data Reduction, Data Display, Conclusion Drawing / Verification. Research results in the advancement of information and communication technology have triggered digital transformation in business operational management, changing the way companies plan, organize, manage, and supervise the production of goods and services. This transformation enables companies to adopt digital technologies such as the Internet of Things, artificial intelligence, cognitive computing, advanced robotics, cloud technologies, blockchain, and big data to improve their efficiency, productivity, and competitiveness. Successful operations managers are those who understand and utilize these technologies, so as to better achieve company goals, respond quickly to market changes, and avoid gaps between customer expectations and traditional business models. Digital transformation has become key in managing efficient and sustainable business operations in an ever-changing era

Bibliometrix Analysis: Management Inventory dan Supply Management

Inventory and Supply Management is an important aspect of efficient business operations. Both are interrelated and have an impact on achieving competitive advantage and customer satisfaction. In the case study of PT. Berkahjaya Sentosa Technique, Bibliometrix analysis is used to evaluate the performance of inventory and supply management of companies. The results show that effective inventory and supply management can improve operational efficiency and customer satisfaction. Bibliometrics is an analytical method used to map and analyze scientific literature in a particular field. In the context of inventory management and distribution control, bibliometrics can provide valuable insight into the development and focus of study in a particular field. The purpose of this study is to analyze and summarize scientific literature related to inventory management and distribution control using bibliometric methods. The method used is descriptive analysis using analysis tools such as three-field plots and tables of main information. The results show that scientific literature related to inventory management and distribution control has experienced a decline in annual growth in the period 2018-2023. However, the average citation per document shows that this literature is still very relevant and important in the context of inventory management and distribution control. This research provides valuable insights for researchers and practitioners in the field of inventory management and distribution control

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Purpose: The article aims to improve the methods of motivation and incentives for employees to ensure the sustainable development of domestic enterprises. Theoretical framework: The spread of market economy elements in Ukraine determines the link between employee performance and the efficiency of business operations. As a result, the scientific literature shows a constant interest in motivation and incentives. This issue is quite important for enterprises that have a heterogeneous staff structure and are significantly influenced by the technological process, which requires qualified and experienced employees. Therefore, the study of the system of motivation and incentives for employees of domestic enterprises is relevant and essential. Design/methodology/approach: The methods employed in writing the article were analysis, synthesis, generalization, explanation, and data qualification. The following is proposed to be achieved by considering the factors of influence of the external and internal environment of the enterprise, as well as the specifics of personality development. Findings: Certain tasks were solved in the course of the study. The theoretical foundations of motivation and stimulation of labor are considered and the peculiarities of the functioning of internal labor demand are emphasized. Research, Practical & Social implications: Promising measures to improve the performance of the labor force of domestic enterprises are proposed. Originality/value: The author develops appropriate guidelines for the conformation of the system of motivation and stimulation of labor in society at the present stage of development of profit relations.

Motivation and Incentives for Employees of Domestic Enterprises

Purpose: The article aims to improve the methods of motivation and incentives for employees to ensure the sustainable development of domestic enterprises.
 
 Theoretical framework: The spread of market economy elements in Ukraine determines the link between employee performance and the efficiency of business operations. As a result, the scientific literature shows a constant interest in motivation and incentives. This issue is quite important for enterprises that have a heterogeneous staff structure and are significantly influenced by the technological process, which requires qualified and experienced employees. Therefore, the study of the system of motivation and incentives for employees of domestic enterprises is relevant and essential.
 
 Design/methodology/approach: The methods employed in writing the article were analysis, synthesis, generalization, explanation, and data qualification. The following is proposed to be achieved by considering the factors of influence of the external and internal environment of the enterprise, as well as the specifics of personality development.
 
 Findings: Certain tasks were solved in the course of the study. The theoretical foundations of motivation and stimulation of labor are considered and the peculiarities of the functioning of internal labor demand are emphasized.
 
 Research, Practical & Social implications: Promising measures to improve the performance of the labor force of domestic enterprises are proposed.
 
 Originality/value: The author develops appropriate guidelines for the conformation of the system of motivation and stimulation of labor in society at the present stage of development of profit relations.

Application of Business Technology in Management: A Case Study of Using Technology Innovation to Improve Business Operational Efficiency and Effectiveness

This research focuses on the application of business technology in management, specifically examining a case study of a conventional bank in Sukabumi. The objective of the study is to explore the use of technological innovation to increase the efficiency and effectiveness of business operations at the bank. The research methodology involves a comprehensive analysis of the technological innovations implemented, their impact on customer service and transaction processing, and the overall organizational performance. The findings reveal that the bank has successfully implemented online banking platforms, a mobile application, and advanced ATMs, resulting in improved customer service, streamlined transaction processing, and enhanced organizational performance. The study contributes to the existing literature by emphasizing the importance of technological innovation in the banking sector and providing recommendations for banks to optimize their technological investments.

Decentralized federated learning with privacy-preserving for recommendation systems

ABSTRACT Hyperautomation can automate complex business processes, reduce human intervention and improve business operational efficiency. Recommendation systems (RS) facilitate hyperautomation greatly. However, these systems require a large amount of user data to train their machine learning (ML) models and hence user data privacy has received great attention. In this paper, we propose a decentralized federated learning framework with privacy-preserving for RS. In our framework, users train the private and public parameters locally but share the public parameters only. Extensive experiments verify that our approach is accurate and can well preserve privacy. This study is helpful for providing privacy preserving in hyperautomation.

Construction of The Bakauheni-Terbanggi Besar Toll Road to Improve The Community's Economy

Infrastructure development in Lampung, especially toll roads, is urgently needed to support mobility, increase the distribution of goods and services, especially in areas with high levels of devel-opment and it can reduce congestion on a number of Trans-Sumatra Roads in Lampung, there some points or areas are the main routes, which is able to support the economy constrained by traffic jams and inadequate roads. This study aims to examine whether the construction of the toll road has had the expected im-pact and achieved the above goals. A number of sectors are used as the main study in this research, namely Population, Employ-ment and Unemployment; Industrial and Commercial; Retail; Housing area; and Business Operational Efficiency. This study us-es empirical studies, which use field data as the main source, such as the results of interviews and observations. The results of the study show that the positive impact of infrastructure development in the short term has been felt by the community, especially in terms of business and retail operational efficiency. However, vari-ous studies have stated that the biggest impact on infrastructure development is in the future, especially with massive population growth which will certainly increase the capacity of the economic ecosystem, even forming a new economic ecosystem

ІНФОРМАЦІЙНЕ ЗАБЕЗПЕЧЕННЯ ОБЛІКУ ФІНАНСОВИХ РЕЗУЛЬТАТІВ В ЛІСОВІЙ ГАЛУЗІ

At the article the issue of the use of automated software that facilitates prompt response and control of the legality of operations were considered. The relevance of the study of the problem of accounting and automation of financial results by domestic forestry enterprises was confirmed. Different problems to increase and improve the efficiency of accounting of the financial results of the operation of enterprises in the forest industry were defined. In practice, this provides an opportunity to use automated software, facilitates prompt response and control of the legality of operations. It was justified that the automation process carried out will contribute to increasing the efficiency of the introduction of automation and their feasibility from an economic point of view, and also prevents their influence on the final result. Performing accounting of financial results under the conditions of an automated information processing system, the entire accounting process is carried out in several stages were installed. The characteristics of these stages were provided. The proposals when, with the help of modern software, accounting functions can be fully automated and the consequences of their work can be presented in any form convenient for users were justified. The introduction of automated accounting systems is a process, the result of which is an improvement in the quality of accounting data was considered. The result of the actions taken is the improvement of the management efficiency of the forest industry. It has been proven that the automated accounting system is appropriate when using it at forestry enterprises. Thanks to the introduction of automation, the time for processing various documents that do not require large storage spaces is reduced. As a result of the conducted research, recommendations were given to enterprises of the forestry industry to switch to the accounting information processing program BAS Accounting. The advantage of the efficiency of the resulting accounting information will be the strengthening of control over the legality and economic efficiency of business operations.

A 5-Step Process of System Analysis to Improve the Efficiency of Enterprise Management

The article addresses challenges associated with analysing factors that affect the efficiency of business operations that people at different levels of management face. The authors use Ishikawa diagrams as a key tool in their proposed approach to analysing information needs of an enterprise. They also identify crucial external and internal factors that have a direct effect on the efficiency of enterprises under current local and global economic conditions. The main contribution of the article is a 5-step process that company managers can use to determine which factors they should focus on in order to improve the efficiency of their enterprises.(original abstract)