Key Business Research Articles

Methodology for Ensuring the Viability for a Complex Object Based on Managing its Structural Dynamics

   The article examines a conceptual model that forms the basis of the authors’ proposed approach to solving the problem of creating integrated information-management systems (IMS) for making managerial decisions, embedded within the structure of vertically integrated Business Entity (BE) to maintain their viability. Viability is understood as the ability of an BE to maintain key technological and business indicators within safe ranges throughout its life cycle (LC), while being subject to the influence of destructive internal and external factors. The problem of synthesizing a generalized structure of an IMS is proposed to solve using a system-cybernetic approach, which considers this problem as the managing its structural dynamics. Managing structural dynamics enables maintaining a regulated level of viability of the vertically integrated BE at all the key stages of its life cycle. The proposed structure of model-algorithmic support (MAS) implements the methods for complexity management. This methodology proposes the approach that justifies the evolutionary redistribution of roles between managerial teams of the vertically integrated BE and functionally equivalent information-management systems. The results of implementing the structure of an IMS, as an example are provided, which arises through the transformation of its original multi-structural state into a qualitatively different state. Multi-structural states are characterized by the use of various control methods, such as "Automatic Multi-Factor", "Automatic Optimal" "Manual on site" etc. In the synthesis of the IMS structure, the methods for system modeling technologies based on simulation-statistical and fuzzy-possibilistic approaches were used.

ANALYSIS OF SUPPORTING AND HINDER FACTORS IN IMPROVING HUMAN RESOURCE COMPETENCE AT PALANGKA RAYA UNIVERSITY

This study provides a concise overview of Palangka Raya University (UPR), a state university founded in 1963. UPR, operating as a Public Service Agency, has implemented strategic changes in response to financial management adjustments, particularly focusing on elevating the quality of higher education lecturers. The research evaluates UPR's performance over the last five years, resulting in the identification of five key business strategies. Examining UPR's human resources, the study outlines the organizational structure, emphasizing teaching staff and education personnel. In 2022, an analysis of lecturers' academic positions, space class, and gender distribution highlights the diversity within the university. Additionally, education personnel are scrutinized based on gender, age, years of service, and rank, providing a comprehensive insight into UPR's human resources landscape. Descriptive analysis pinpoints supporting factors, such as the competency certification process and research roadmaps, and inhibiting factors, including a lack of leadership synergy and lecturer awareness. Budgetary constraints, insufficient person-in-charge roles, and a lack of specific strategies are identified as obstacles. The research concludes with actionable recommendations to enhance human resource quality at UPR, emphasizing skills development, government support, reward systems, and the cultivation of professional attitudes and personality maturity. These strategies aim to foster a more productive and inclusive work environment in alignment with UPR's vision of producing competitive and morally grounded human resources.

Chinese guanxi in computer-mediated communications (CMC): a scoping review of business and management studies

ABSTRACT Over the past several decades, Guanxi research has garnered considerable attention from business and management scholars, primarily focusing on traditional aspects. This scoping review aims to broaden this perspective by investigating the relationship between online Guanxi and computer-mediated communications (CMC) interactions within the business management domain. Analysing 67 studies from business and management journals spanning 2008 to 2024, we explore the role of CMC in facilitating the development of Chinese Guanxi and its impact on key business outcomes. Additionally, we synthesize key insights through tables and propose several promising avenues for future research in this area.

Artificial intelligence implementation in manufacturing SMEs: A resource orchestration approach

Artificial intelligence (AI) is playing a leading role in the digital transformation of enterprises, particularly in the manufacturing industry where it has been responsible for a profound transformation in key business and production operations. Despite the accelerated growth of AI technologies, knowledge of the implementation of AI by small and medium-sized enterprises (SMEs) remains underexplored. Thus, this study seeks to examine how manufacturing SMEs orchestrate resources for AI implementation. Building on the resource orchestration (RO) theory and recent work on AI implementation, we investigate multiple case studies involving manufacturing SMEs in Sweden operating in the packaging, plastic, and metal sectors. Our findings indicate that SMEs structure a portfolio based on acquiring and accumulating AI resources. AI resources are bundled into learning and governance capabilities to leverage configurations for AI implementation. Through a dynamic process of AI resource orchestration, SMEs effectively leverage AI resources and capabilities by mobilising technologies, coordinating manufacturing processes, and empowering skilled people. This research contributes to existing practice and the academic literature on AI implementation, highlighting how SMEs orchestrate AI resources and capabilities to drive an organisation’s digital transformation whilst creating a competitive advantage.

Marketizing education: a microanalytic account

ABSTRACT The neoliberal turn has driven attempts to marketize education, but how does marketization occur? In this article I draw on ethnographic and linguistic-ethnographic methods to investigate marketization through a microanalytic lens. My investigation focuses on a team of educational professionals, who participated in a workshop led by an organizational consultant named Eric. During the workshop, Eric successfully encouraged the educators to adopt some key business terms that he imported from the high-tech sector. My findings indicate that the marketization of education was not straightforward. Rather, the process encountered some resistance and sowed confusion before a business discourse ultimately took hold. The process of marketization became entangled with the power dynamics shaped by group members’ positioning vis-à-vis one another; and furthermore, it required the group to negotiate the meaning of some key terms. Marketization was ultimately mediated by a cognitive device called the Business Model Canvas and it relied on some pre-existing neoliberal tendencies among the workshop’s participants.

Designing a Hybrid Genetic Algorithm Trained Feedforward Neural Network for Mental Health Disorder Detection

This research delves into the innovative application of feed-forward neural networks (FNNs) specifically the multi-layer perceptron (MLP). MLP is a flexible algorithm due to its ability to adapt to different real-world problems amongst other features, and this makes it a preferred machine learning algorithm in the early detection of mental health disorders. MLP’s number of layers and the number of neurons per layer changes to accommodate these abilities. MLP was chosen for this work because they can model non-linear relationships found in a dataset as well as the fact that the algorithm is efficient in accuracy detection which is lacking in other types of FNN. This study focused on developing and optimizing MLP architectures to achieve heightened accuracy in identifying mental health disorders. Original dataset that was used comprise 334 rows (datapoints) and 31 columns (features) and Only 27 features were quantifiable. We utilized the first 13 features in the dataset for this research work as too many features will affect the training time. The model performance was evaluated using Accuracy, Precision, F1 Score, Recall, and the results of the model evaluation showed that early detection of mental health disorders is predictable using this type of Feed-forward Neural network, with an Accuracy of 96%, Recall of 80%, F1 Score of 77%, Sensitivity 90%, and Specificity of 88% when compared to previous research with lower accuracy of 81.75% amongst the other result they got for the other parameters. Furthermore, by using widely collected datasets and employing advanced machine learning techniques such as feature importance technique for optimization of the initial result got, this approach contributes significantly to the field of early detection of mental health disorders. Keywords: Mental Health Disorder, Feedforward Neural Network, Machine Learning, Early Detection, Artificial Intelligence

An analysis of the non-financial motivation system of JSB “Almazergienbank” in order to increase the efficiency of personnel work

This article considers the system of non-financial motivation of personnel of Joint-Stock Commercial Bank “Almazergienbank”, a large regional bank by asset size, registered in the territory of the Republic of Sakha (Yakutia). The key business lines are servicing corporate clients, municipal organizations and projects, attracting deposits and lending to individuals and legal entities. The relevance of this topic is due to the fact that in the conditions of fierce competition between organizations it is necessary to find ways to increase the productivity of employees. Improving the incentive system can be one of such ways. The purpose of the study is to determine the involvement of employees in the system of non-material motivation and to develop recommendations for improving the incentive system in the context of increasing the efficiency of work in the context of competition in the banking market. Intangible incentive, being a significant tool, allows to save resources and at the same time increase productivity and satisfaction of employees. The methodological basis of the research was a survey of bank employees, an analysis of the obtained data and the existing system of nonfinancial incentives. It was revealed that the most popular option for assessing the intangible incentive system among the respondents is the indicator “8”, which indicates incomplete satisfaction with the existing system. As a result of the study, recommendations were developed to improve the personnel incentive system in order to increase the efficiency of work in the competitive conditions of the banking market.

ЦИФРОВЫЕ РЕШЕНИЯ В АГРОБИЗНЕСЕ: ФОРМИРОВАНИЕ МЕТОДОЛОГИИ МОНИТОРИНГА ЗЕРНОВОГО ПРОИЗВОДСТВА В УСЛОВИЯХ ТЕХНОЛОГИЧЕСКИХ ИННОВАЦИЙ

The active penetration of digital technologies into human economic activity objectively poses the task of forming an informational space and a new technological base across the entire economic space of society. The appearance of key sectors of the national economy is changing, with an increasing portion of business processes moving into the digital environment, thereby forming a barrier-free character of exchange and consumption relationships. Among the sectors of the domestic economy, the agricultural sector (AIC) has the highest rates of digital activity growth in recent years, with its indicator in 2023 amounting to 200% relative to the average level across the economy – 131% (compared with 2016), indicating the beginning of fundamental transformations within the mode of production. The leader of the AIC is the production of grain and its processing products, collectively accounting for more than a third of the total volume of the agri-food market, hence the processes of digital solutions penetration into grain production require close attention. The key business process of grain production is the monitoring of all its elements, ensuring the quality and timeliness of management decisions at each level of added value production. The spread of business models based on digital technologies requires a new methodology of platform solutions not only at the level of technological adaptation but also restructuring, modification of established ways of conducting agribusiness, and significant organizational changes. Systematization of digital solutions approaches shows that the use of artificial intelligence significantly accelerates the digital transformation of grain production; however, for a widespread transition to intelligent monitoring methods of grain production, a number of objective conditions must be met, among them: data handling, the ability to choose a computer vision model, creation of neural network architecture, organization of training for personnel capable of making decisions on digital platforms, and the formation of corresponding psychological-behavioral client content. The implementation of these conditions, based on ongoing institutional transformations, is capable of ensuring stable growth of grain production, reducing its energy intensity, and preparing personnel with digital economy competencies.

Exploring Challenges Forefront to Family Business Leaders: A Perspective of Family Business Owners

Family businesses, owing to their unique blend of family dynamics and business operations, often face distinctive hurdles that can significantly impact their sustainability and growth. This qualitative study delves into the multifaceted challenges that confront family business leaders, as seen through the eyes of family business owners, which is a missing aspect in the extant literature database. Through in-depth interviews and thematic analysis, this study aims to shed light on the key challenges family business leaders encounter. The findings of the study reveal that the family business leaders have challenges related to the succession planning, financial management, conflict resolution, communication breakdown, governance, HRM, and the evolving business environment in the day-to-day business operation. These findings further echoed the need for a personalized approach and support systems to face the challenges and to be successful in the long run. These results not only contribute to the existing literature related to the management of family business, but also provide a very practical use to the practitioners in increasing the strength of both the family and business while operating within the context with such complexity.

A knowledge framework of participation supportive of resilient and safe construction projects: A systematic review

Workers’ participation has long been acknowledged as a means for the harmonization of the technical and social components of socio-technical systems. However, guidance to designers of participatory practices is often implicit in the literature, which also does not jointly address safety and resilient performance, two key business aspects in construction projects. This paper addresses these gaps by proposing a knowledge framework for the design of participatory practices that contribute to safe and resilient construction projects. To this end, a systematic literature review of 33 papers on participation in construction was carried out. Based on a thematic analysis, this review gave rise to a framework composed of seven design meta-principles, seven design principles, and 17 design prescriptions. The seven principles mediate the relationships between the more abstract meta-principles and the more operational prescriptions. The framework encompasses dimensions of participatory practices that can contribute for the design of resilient systems and for the operationalization of both safety-I and safety-II in construction.

SHARIA CREDIT RISKS

Alleviation poverty, especially among women, is a serious challenge in Indonesia. Finance microsharia emerged as a potential solution. For empowerment, women should approach sharia credit. This article discusses necessary risks noticed, like credit traffic jams, fraud, and risk reputation, in development finance microsharia. Management good risk has become a key continuity business. Apart from that, the importance of education and literacy finance, supporting the government, and partnerships with various parties in increasing the contribution of women to overcome poverty through Sharia credit is highlighted. Utilisation of the potential for zakat, waqf, and Islamic values is also a crucial aspect. Inclusionary and sustainable microfinance models are expected to positively impact women's economic empowerment. With a holistic, inclusive, and sustainable approach, it is hoped that women can play a significant role in alleviating poverty and positively impacting various layers of society in Indonesia.

СТРАТЕГИЯ РАЗВИТИЯ ПРОМЫШЛЕННОЙ ОРГАНИЗАЦИИ НА ОСНОВЕ ПРОЦЕССНОГО ПОДХОДА

The article presents an approach to developing a strategy for the sustainable development of an organization in the long term, based on the optimization of key business processes in functional areas. The structure and relationships of business processes in an organization that is a key market player is determined. Tools for optimizing management and servicing business processes for the formation and transformation of a business model are identified. Typical strengths and weaknesses have been identified in improving business processes for organizations operating in high-tech sectors of the economy. The influence of the organizational structure of the enterprise on the processes of optimization of business processes is clarified.

AN ENTROPIC PERSPECTIVE ON BUSINESS RELOCATION IN THE CONTEXT OF SUSTAINABLE DEVELOPMENT

This article explores dynamic shifts in entropy, focusing on the entropic perspective of business relocation within the sustainable development framework. Emphasizing sustainable practices and long-term goals, the research employs deep interviewing to gain profound insights into Ukrainian businesses' perspectives on relocation challenges. The study examines the intricacies of moving through the prism of entropy. It comprehensively addresses multifaceted issues during relocation, highlighting the delicate balance between disruption and opportunities. Providing insights into adaptive strategies, the study aids scholars, policymakers, and businesses in navigating the uncertainties of global economic changes. It serves as a guiding beacon for strategic and successful relocation, offering practical insights based on real-life cases. Stakeholders can optimize the relocation process by leveraging the key features outlined in the article.The article, with its economic dimension, emerges as a vital resource for stakeholders aiming to streamline the relocation process. Through the outlined key features, businesses and policymakers can make well-informed decisions that not only align with sustainable development goals but also foster economic resilience and growth. Furthermore, the research carries substantial potential in exploring the post-relocation development of companies, drawing insights from the experiences of those who have already undergone relocation. By delving into the economic, social, and environmental dimensions of businesses' evolution post-relocation, the study can reveal patterns of resilience, innovation, and growth. Examining the post-relocation landscape provides an opportunity to assess the effectiveness of sustainable practices adopted during relocation and their impact on long-term economic performance. Leveraging the experiences of previously relocated enterprises offers practical insights into the challenges and opportunities in the post-relocation phase. In essence, the article not only optimizes the relocation process but also serves as a foundation for an exploration of post-relocation development, offering a roadmap for sustained economic resilience and growth.

Components and Strategic Routes of Corporate Transformations

In response to modern-day disruptions and to maintain competitiveness and viability, companies embark on corporate transformation journeys to enhance performance and boost organizational health. When transformations succeed, they fundamentally boost a company’s key business drivers. This article is a first step in providing prescriptive literature to transforming companies that they can use to navigate their journey. The article defines the three components of corporate transformations business model transformation, digital-enabled transformation, and organizational transformation - and their interdependencies. The study is based on the systematic review of literature available on the components of corporate transformations which is mostly unidimensional and leads to the consolidation of the components into a framework. It also describes the strategic routes of corporate transformations (mesa-transformation and meta-transformation). The framework is applicable for academic research and for practitioners when diagnosing companies, strategizing their transformations, and planning their transformation journeys.

Research on digital transformation and application of key business of power grid planning

As the basis for the construction and development of the power grid industry, power grid planning not only affects the development direction of power grid enterprises, but also determines the economic level, social stability and quality of life of urban residents. In the construction and development of the new era, the digital transformation of power grid planning business is an important part of the construction and improvement of the digital power grid system, which will guide the power grid planning business to develop stably in the direction of intelligence, automation and information, actively create a safe and reliable smart grid, and lay a solid foundation for improving the development level of power grid enterprises. Therefore, after understanding the current digital transformation goals and development status of power grid planning business, this paper mainly explores the specific plan for the transformation of power grid planning business of a regional power enterprise according to the structure and transformation requirements of the new power system, and finally explores the practical significance of digital transformation according to the construction effect and development goals, providing a reference for the reform and development of the power industry.

ПОДХОДЫ К РАЗРАБОТКЕ, ДОВОДКЕ И РЕАЛИЗАЦИИ СТРАТЕГИИ ПО ПОВЫШЕНИЮ ДОХОДНОСТИ БИЗНЕСА

The article presents modern approaches to considering the concept of “business profitability”. The components of business profitability management strategy have been identified. Key business processes that directly and indirectly affect the company's profitability are specified. Basic approaches to managing business profitability have been identified, starting from the “value chain concept”, the Ansoff matrix and ending with the “cost benefit” approach. The economic indicators used in the cost benefit approach are clarified, as well as the stages of the process approach in managing business profitability.

МЕТОДИЧЕСКИЕ РЕКОМЕНДАЦИИ ПО ВЫЯВЛЕНИЮ КЛЮЧЕВЫХ БИЗНЕС-ПРОЦЕССОВ ДЛЯ ПОВЫШЕНИЯ ДОХОДНОСТИ КОМПАНИИ

The article presents the practice of assessing the current state of the organization from a profitability standpoint. The criteria for choosing the optimal approach when planning measures to increase business profitability are defined. Key factors influencing the efficiency of cash flow generation in a strategic direction are designated. The components of a successful strategy for increasing a company's profitability affecting diversification, investment and routine tasks are identified. Recommendations for building key business processes in the organization have been clarified.

Port and inland waterway design and operation in the face of climate change uncertainty

Climate change is a key business risk for ports and inland waterways and, therefore, a key consideration for the design and operation of this infrastructure. While risk and vulnerability are typically assessed using historical information, possible future climates now also need to be considered, using quantitative climate datasets whenever possible. The current challenge is the range of availability – and levels of uncertainty – for specific parameters that are important to ports and inland waterways. When quantitative information is available, a scenario-based approach can be used to identify an appropriate range of projections for assessing risks and designing structures. Notwithstanding the availability of quantitative data, however, adaptive solutions should be favoured. This is especially important where residual uncertainty is high and/or where significant or complex investments are involved. The development of adaptation pathways enables the implementation of phased responses as climate-related hazards, such as pluvial flooding or sea-level rise, evolve. The adaptation pathway approach also reduces the risk of maladaptation associated with the assumption of a deterministic future condition for the design life of the asset or operation.

Design and implementation of computer network security detection and control system

With the widespread application of computer network technology, computer network security defense capability has become a focus of attention in various industries. The extensive use of computer information systems in various sectors has significantly improved work efficiency but has also introduced security risks and management issues. The deployment of network security detection and control systems allows for effective security monitoring and management of computer operations and real-time network information. This paper presents a computer network security detection and control system based on human-computer interaction, which enables users to handle daily key business processes. The work principles and overall architecture of the network security detection and control system are analyzed and demonstrated. It offers functions such as filtering options, address rules, network security detection, network unreachability, overall traffic analysis, subnet definition, fault diagnosis, and security analysis. Testing and analysis indicate that the systems design achieves the intended goals. In the application of network security features, it can effectively combine various forces to enhance the quality and efficiency of network security, making it widely applicable in various industry units.

Internal and external threats to enterprise security: essence and diagnostics

The paper studies the essence and diagnostics of internal and external threats to enterprise security. External threats to the enterprise are identified, in particular, unfavorable changes in the political and economic situation in the country, the use of unfair competition methods, unreliability of suppliers, partners and contractors, natural and technical emergencies, unauthorized access of competitors to confidential information of the enterprise, imperfection of the regulatory framework, industrial and economic espionage, changes in consumer tastes and preferences. The author identifies internal threats to the enterprise, in particular, low professional level of the top management of the enterprise, violation of labor discipline, outflow of qualified personnel, decrease in the professional qualification level of personnel, violation of the regime of commercial secrecy, low level of innovation activity of the enterprise, lack of an effective planning system at all levels, low technical and technological levels of production. The author analyzes what negative consequences can result from threats to the security of an enterprise from its administrative and managerial staff and personnel in general, suppliers and other contractors and consumers. The author identifies the tools whose implementation can preventively influence key business processes and minimize negative consequences in the event of threats. As for the tool that has effectively proven itself among enterprises in developed countries and is used to support the internal environment in terms of developing managerial and human resources, it is worth noting the corporate entrepreneurship assessment tool (CEAI). As for the tool that is actively used, including by domestic entrepreneurs, to collect and analyze customer data, which allows storing information about the history of interaction with customers and increasing their loyalty, it is worth mentioning a CRM system.