Effective Strategic Decisions Research Articles

Strategic Priorities for the Development of Food Security of the State Taking into Account Hybrid Threats and Challenges

Relevance. Food security is one of the most urgent and complex problems of the modern world. In the context of globalization, climate change, economic fluctuations and other factors, ensuring the stability and reliability of food security is becoming a complex task that requires effective strategies.The purpose is to analyze and evaluate strategic priorities in the field of food security, taking into account complex hybrid threats and challenges. Objectives: identification of strategic alternatives; development of a mathematical model with fuzzy variables and rules for evaluating strategic alternatives; analysis of evaluation results to identify the most effective strategic directions.Methodology. The research methodology included the use of fuzzy logic methods to build a mathematical model for evaluating strategic alternatives.Results. As a result of the study, it was revealed that the strategic alternative S1 received the highest rating, emphasizing its key importance for the sustainability of the food system. Alternatives S7, S9, S4 and S3 also have high ratings, which makes them potentially effective for ensuring food security. Alternatives S10, S8, S2, S6 and S5 are less of a priority, but are important for reducing various risks associated with food security, such as lack of food and vulnerability of supplies.Conclusions. The results of the study allowed us to conclude that the use of the fuzzy logic tool provides an opportunity to conduct a deeper and more comprehensive analysis of complex factors affecting food security. This approach allows us to take into account the uncertainty and multidimensionality of data related to the food system and introduce more accurate modeling of this dynamic area. Such a method enriches the decision-making process in the field of food security, contributing to the development of more effective strategic decisions and management approaches that take into account a variety of factors and their interaction. This contributes to improving the quality of research and helps to form more rational and informed strategies that contribute to ensuring the stability and reliability of food security.

Internal Decision Factors, Strategic Decision Effectiveness and Resistance to change in KSA Universities

Internal Decision Factors, Strategic Decision Effectiveness and Resistance to change in KSA Universities

Exploring Big Data Technology in Human Resources Decision-Making

With the widespread application of big data technology, human resources decision-making faces new opportunities and challenges. This paper explores the application of big data technology in human resources management and its potential impact, providing an in-depth analysis of the transformation of the role of HR managers in the era of big data. Firstly, the application of big data enables HR professionals to make more effective strategic business decisions by eliminating biases in decision-making and providing profound real-time insights. This, in turn, attracts and retains talented individuals, enhancing business efficiency. Secondly, big data plays a crucial role in the recruitment process, assisting management in avoiding recruitment errors. Personalized data analysis helps identify talents that match specific job requirements, ultimately improving long-term performance. Furthermore, the application of big data technology facilitates organized internal mobility of human resources within a unit. By analyzing employee data, organizations can gain better insights into employees' work capabilities and development potential, offering diverse opportunities for career development to enhance employee satisfaction, loyalty, and maintain competitiveness.

Did Emotional Intelligence Traits Mitigate COVID-19 Uncertainty Effects on Financial Institutions’ Board Decision-Making Process?

This study uses a qualitative research mixed methods design to explore the Coronavirus pandemic’s uncertainty effect on mature board governance practices and a board decision processes framework within 16 large Australian financial services entities. Findings provide support for two effects. Firstly, the Coronavirus pandemic had led to a hesitation effect on the board members on-going journey of developing a conscious sense of ‘self’ and awareness. Secondly, the skills and diversity of personalities of directors comprising the board has a positive impact on the effectiveness and success of strategic decisions. The ongoing ambiguity impact of the Coronavirus pandemic on effective board decision-making processes was investigated. The board members expressed confidence in the Australian financial services sector’s ability to overcome the global Coronavirus pandemic’s temporary uncertainty impact on board decision processes frameworks. Future research may extend the focus to senior executives’ or owners’ EI personality traits to investigate the relationship between such individual’s or teams’ traits and ongoing effective board decision-making processes during uncertainty in either developing or developed countries or a cross-cultural study.

Impact of Dynamic Capabilities on Business Performance of SMEs during an Economic Crisis with reference to Western Province

The current economic crisis which is experiencing has a significant impact on the development and performance of most SMEs, making their existence even more susceptible. In the face of the current economic crisis, Dynamic capabilities (DCs) can be utilized as a survival mechanism to help organizations to increase the value of their businesses, get competitive advantages, and increase business performance in a changing business environment. Therefore, the purpose of this paper is to analyze the impact of three dimensions of DCs which are sensing, seizing, and reconfiguring on the business performance of SMEs during this economic crisis. In addition, this study investigates how DCs could impact business performance through Information technology (IT) adoption as a moderator. The quantitative approach is adopted, where a cross sectional survey was utilized to collect primary data from SMEs. Findings of the study based on a sample of 380 SMEs in western province and stratified random sampling method was utilized to select participants. Structural Equation Modeling (SEM) was used to analyze data by using Smart PLS 4 software. The results revealed that only sensing and reconfiguring capabilities have a significant impact on SMEs’ performance and IT adoption moderates the relationship between DCs and business performance during the economic crisis. Therefore, this study provides a great effort to quantitatively investigate the impact of three procedures of DCs and the moderate effect of IT adoption during the economic crisis. Furthermore, it conveys a better understanding of how SMEs could deploy their DCs to ensure higher levels of performance in periods of crisis. The results of this research will pave a path for them to successfully take effective strategic decision on the SMEs. Keywords: Business Performance, Dynamic Capabilities, Economic Crisis, and SME.

The mediating role of employees’ empowerment in the correlation between strategic decision effectiveness and organization’s excellence

The paper aims to analyze the influence of the effectiveness of strategic decisions on organizational excellence, through employee empowerment, as an intermediate variable in Qatari commercial banks, where this study is quantitative and uses the descriptive cause-effect approach. The population of this study includes all directors, assistants, deputies, department managers, and branch managers in the six Qatari Commercial Banks, while the field survey method was used for this study. The population number was 336 participants from whom the researchers retrieved 270 questionnaires valid for statistical analysis. The study found that: the level of effectiveness of strategic decisions on organizational excellence and employee empowerment in Qatari commercial banks is high. The findings also showed that there was a significant effect of the effectiveness of strategic decisions on organizational excellence through employee empowerment as an intermediate variable. The study recommended the need for more studies to maintain the approach of the effectiveness of strategic decisions and employee empowerment in Qatari commercial banks, for their important role in organizational excellence, specifically giving freedom of action to employees to solve and encounter work problems.

ІНТЕГРАЦІЙНІ ПРОЦЕСИ В СФЕРІ ДЕРЖАВНОГО УПРАВЛІННЯ В УМОВАХ РОСІЙСЬКО-УКРАЇНСЬКОЇ ВІЙНИ

The goal of the work. The article examines integration processes in the sphere of public administration in the conditions of the Russian-Ukrainian war. On the basis of the analysis, generalization and systematization of scientific sources, the trends of the development of integration processes in the sphere of public administration in modern conditions are highlighted, the need for further efforts in the direction of European integration is proved. Methodology. To achieve the goal, the article used methods of structuring problems, summarizing statistical data and facts, and developing strategic solutions. Scientific novelty. The scientific novelty of the article is that the author justified the steps aimed at reconstruction and effective mobilization of public administration resources to restore the ability of all levels of government, regions and municipalities of Ukraine to solve problems that bring the state closer to EU membership. In the article, the author highlights those problems that were not solved in the pre-war period of the state's development. In particular, we are talking about the need to optimize the system of state regulation, which should be aimed at promoting economic growth and increasing the level of well-being of citizens, as well as at achieving a new quality of state control, creating a "welfare state." The author proposes his own approach to solving the mentioned problems, which is based on the gradual reform of the public administration system, which should lead to a new quality of administration, bringing it closer to the European system of public management. Conclusions. It was concluded that the innovative transformation of the Ukrainian state, its transformation into a European-type state is impossible without changes in the sphere of public administration. The innovations proposed in the article will give a new impetus to the socio-economic development of Ukraine in the post-war period, creating the necessary conditions for the country's full integration into the EU by improving the public administration system. During the war, all authorities gain important experience in development planning and financing, which can be used in the post-war period to increase the efficiency and effectiveness of strategic decisions related to the rapprochement with the European Union. Nowadays, the executive authorities should build their capacity, analyze and implement the best European experience, try to adopt the style of management and communication, which is inherent in the European public administration practice.

Developing a corporate strategy as a vital aspect of strategic management in an aviation enterprise

The aviation industry, as one of the key sectors of the global economy, is subject to constant changes and challenges, demanding effective strategic decisions from companies in this sector. This article examines the key elements of organizing the process of developing corporate strategies for airlines. The paper outlines a series of organizational and managerial steps aimed at facilitating the successful execution of the established set of actions directed towards achieving the objectives of the strategic management initiative. Additionally, the article addresses the challenges that aviation enterprises may encounter during the development and implementation of their corporate strategies, including global competition, evolving regulatory requirements, and environmental considerations.

Clustering Kabupaten/Kota di Jawa Tengah Tahun 2022 berdasarkan Jumlah Kasus Kemunculan Penyakit dengan Algoritma K-Means

This research aims to conduct clustering or grouping of Regencies/Cities in Central Java Province based on the number of occurrences of specific diseases in 2022 using the K-Means algorithm. The research results obtained 3 clusters, namely high, medium, and low for 29 Regencies and 6 Cities. The percentage for cluster 1 is 34.29%, consisting of 10 regencies and 2 cities, cluster 2 is 40.00%, consisting of 11 regencies and 3 cities, and cluster 3 is 25.71%, consisting of 8 regencies and 1 city. These clustering results can be used as a basis for making effective strategic decisions in the development of prevention and control efforts for diseases in each region.

RESEARCH OF IT BUSINESS IN UKRAINE: TRENDS, FORECASTS, AND DEVELOPMENT STRATEGIES

The study of the development of the IT industry is key for the formation of strategic decisions of government bodies and businesses aimed at creating a competitive and innovative economy, as well as for forecasting the opportunities and challenges that await this industry in the future. The purpose of the work is to analyze trends in the IT industry in Ukraine and forecast the dynamics of development of key indicators of its development, as well as to offer a scientific approach to the formation of development strategies for IT companies based on strategic analysis.The article provides a detailed analysis and review of modern trends in the development of the IT industry in Ukraine. The authors investigated the key factors and challenges affecting the dynamics of this sector in the country and determined competitive advantages and potential limitations for its development, respectively. The forecast of the volume of IT exports from Ukraine as a key indicator of the development of the IT industry for the coming years is also presented, which is based on the analysis of current data and trends in the development of the industry, taking into account the year of full-scale war, which allows us to give an objective perspective on the possibilities of growth and development of IT -sector in Ukraine. The analyzed actual and forecast data give reasons to consider the IT industry promising for the further development of the economy of our country.The article focuses on the importance of using strategic analysis for the development of IT companies, in particular, in terms of developing strategies for the development of IT companies, it is recommended to use two main tools - SWOT analysis and PEST analysis. The authors have developed a matrix of alternative strategies for the development of an IT company depending on its position in the context of the presence of internal strengths and weaknesses and existing opportunities and threats from the outside. This approach allows companies to more objectively assess their opportunities, understand threats and make effective strategic decisions aimed at success and stable development in a rapidly changing environment.

The Mediating Effects of Entrepreneurial Orientation Between Procedural Rationality and Strategic Decision-making Effectiveness

Researchers have shown interest in theory of organizational information processing and the resource-based theory, as they can both serve to provide competitive advantages for companies. Earlier studies have indicated that procedural rationality is used by firms to increase the demand for information processing when making effective strategic decisions. However, there is limited understanding of the mediating effects of entrepreneurial orientation as an intangible resource for organizations between procedural rationality and strategic decision-making effectiveness in the available studies in the literature. Thus, this study sheds light on the relationship between procedural rationality in strategic decision-making from organizations and their strategic decision-making effectiveness, taking into consideration the mediating effects of entrepreneurial orientation as an intangible resource for organizations. The research model was tested using a structural equation modelling design based on survey data from 162 companies that work under the umbrella of the Saudi financial sector, collated and analysed by software (SPSS and SmartPLS), the research found that procedural rationality in strategic decision-making within organizations positively affected their strategic decision-making effectiveness. Likewise, the research revealed that procedural rationality in strategic decision-making increased the level of entrepreneurial orientation. Moreover, the research findings showed that the high level of entrepreneurial orientation within organizations positively impacted their strategic decision-making effectiveness. These findings enrich the fields of strategic decision-making and procedural rationality through entrepreneurial orientation within organizations, this relationship should synchronize in function focusing on relevant information, data analytics, and strategic approach process. In light of this, this study brings scientific evidence from the perspective of financial companies within Saudi Arabia.

Theoretical background of transparency management development of enterprises in the conditions of convergence of investment processes

Methods. During the research, such general scientific methods are used as: abstraction – when determining the essence of the concept of «transparency management of enterprise development»; analysis and synthesis – when distinguishing the components of the transparency management process of the development of enterprises in the conditions of convergence of investment processes; systematic approach – in the formation of an effective management system for the development of enterprises. Results. The article provides a theoretical basis for managing the transparency of enterprise development in the conditions of convergence of investment processes. According to the results of the conducted research, it was found that the modern enterprise management system of Ukraine demonstrates positive results under the conditions of its constant and continuous improvement, and also has the potential to respond to the challenges of changing conditions of both endogenous and exogenous environments. The factors of negative influence on the development of the enterprise are singled out, attention is focused on the need to create a scientific and practical justification of the system of measures to maintain the level of its value and ensure the adoption of innovative and progressive decisions. Novelty. There is given the author’s definition of the process of managing the transparency of the development of enterprises in the conditions of the convergence of investment processes as a management paradigm with the use of innovative tools and information support for the purpose of producing effective strategic management decisions regarding conceptual modeling and improvement of business processes that strategically determine the competitive advantages of enterprise, while ensuring the transparency of personal business functioning in an institutional environment that takes into account socio-value changes caused by scientific and technical development for the formation and rational use of investment potential. Practical value. The formed theoretical basis for managing the transparency of the development of enterprises in the conditions of convergence of investment processes can become the basis for scientific and practical substantiation of the system of measures to support the level of the value of the enterprise and ensure the adoption of innovative and progressive decisions.

Big Data Analysis for Strategic Decision Making in Business Information Systems

The use of big data in the context of strategic decision making in business information systems has become the main focus of research in the current digital era. This research aims to analyze the role of big data in facilitating effective strategic decision making in a rapidly changing business environment. The research methods used include a thorough literature survey and comprehensive analysis of case studies of several leading companies that have adopted big data technology in their business information systems. The research results show that big data has a crucial role in improving strategic decision-making capabilities by providing fast access and in-depth analysis of complex and varied data. This allows organizations to identify market trends, customer behavior patterns and new business opportunities in a more timely and accurate manner. In conclusion, the integration of big data in business information systems is an inevitable strategy for organizations that want to remain competitive in this digital era.

Trade Patterns in Food Imports to China: Commodities, Trends, and Shifts (1992-2020)

Our research unveils how China’s food-related imports from 1992 to 2020 changed in composition by decreasing the imports of some commodities in favor of others. Their origins suggest that some countries are being substituted as commercial partners for specific commodities. We empirically identified outliers by setting interquartile limits at the commodity level and by origin. Unit-root and normality tests were applied. Finally, Spearman or Pearson correlation coefficients were computed where appropriate. Results indicate that imports are stabilizing during the studied period. China increased its imports of Sugar and cereals to the detriment of edible preparations, live animals, trees, and oilseeds. Some Asian countries are capturing part of the market once dominated by North America or Europe. Finally, lower dependence on partners was found for meat, gums, cocoa, and edible preparations. This methodology might help those analyzing the effects of trade agreements, country specialization, and strategic decisions.

Development of information and analytical procurement methodology of public administration in the sphere of providing civil control over the sector of security and defense of Ukraine

The problem that is solved in the research is to increase the efficiency of decision making in management tasks while ensuring the given reliability, regardless of the hierarchy of the system. The object of the research is the decision making support system in the field of democratic civilian control over the security and defense sector (FDCCSDS). The subject of research is the decision making process in management tasks using fuzzy cognitive maps and evolving artificial neural networks. The hypothesis of the research is to increase the number of sources of information about the components of the FDCCSDS, with restrictions on the efficiency and reliability of decision making. The research proposed a method for evaluating the information and analytical provision of public administration in FDCCSDS. It was established that the proposed method has a higher efficiency compared to the known ones by an average of 40 %, compared to the methods used to evaluate the effectiveness of strategic management decisions. The specified method will make it possible to assess the state of information and analytical provision of public administration in the FDCCSDS and to determine effective measures to improve efficiency. The method will allow to analyze possible options for the development of FDCCSDS in each phase of development and moments in time when it is necessary to carry out structural changes that ensure the transition to the next phase. At the same time, subjective factors of choice are taken into account while searching for solutions, which are formalized in the form of weighting coefficients for the components of the integral criterion of efficiency. The specified method allows to increase the speed of assessment of the state of information and analytical support of the FDCCSDS, to reduce the use of computing resources of and decision making support systems, to form measures aimed at increasing the efficiency of information and analytical support

BIG DATA ANALYTICS: INTEGRATION, IMPORT SUBSTITUTION, OPERATIVENESS, RELIABILITY AND AVAILABILITY

Big data analytics faces the complexities of dealing with big, unstructured, and rapidly changing data that traditional methods of managing are faltering. The exponential growth of the internet and the digital economy has led to a huge increase in demand for data storage and data analysis. This new type of information, often referred to as unstructured data or big data, includes documents, images, audio, video, and social media content, rather than the traditional structured data found in databases. Big Data Analytics aims to extract valuable insights from these vast amounts of information. The article explores diverse technologies, such as Apache Flume, Pig, Hive and ZooKeeper, along with the open-source MongoDB NoSQL database, which collectively make up the big data analytics system. This system is used to predict volumes, gain ideas, take proactive actions and make effective strategic decisions. The article delves into the implementation, use and impact of Big Data Analytics on the value of an enterprise, taking advantage of algorithms designed for large data sets such as Hadoop and MapReduce. In addition, he provides illustrative examples of big data processing, specifically leveraging the integration of Hadoop and Matlab to solve handwritten number recognition tasks with a neural network trained using the MNIST dataset. Moreover, the article briefly touches on software import substitution in the context of the Russian Railways company, noting the use of Postgres Pro and Greenplum DBMS, and the loginom analytical platform. The article also provides a brief description of approaches to predictive assessment of the operation, reliability and availability of Big Data Processing Systems.

Application of Big Data Analytics in Telecommunication Sector Company in Sri Lanka: with Reference to Marketing Perspective

The business world is getting competitive and complex day by day. The customer needs and expectations also changing rapidly. Therefore, making effective strategic marketing decisions in a short time is essential to hold a competitive advantage. Especially in the telecommunication sector, there are lots of data to be handled every day. By analyzing all those data and extracting the most critical insights and use those insights for strategic marketing decisions is essential to remain as the market leader. Today, Big Data Analytics is used to analyses massive databases and find patterns and extract valuable information and insights. Therefore, this research investigates on strategic marketing decisions, Big Data Analytics and how Big Data Analytics use in telecommunication sector to make strategic marketing decisions. Moreover, this research examines how Big Data Analytics can be applied to perform customer segmentation based on Psychographic segmentation by analyzing URLs using artificial neural network techniques. This study will provide suitable recommendations for the telecommunication companies to apply big data analytics to improve the revenue, and finally it points out the possible future study areas.

Elaboration of a method for strategic analysis of the development of the Armed Forces

Previous research has shown the need to increase the validity of the strategic decisions taken to determine (clarify) the strategy for developing the capabilities of the Ukrainian Armed Forces in the long term. It is necessary to elaborate a multi-criteria method for the strategic analysis of the development of the Armed Forces, based on statistical data obtained from the results of the defence reform and the defence review, minimising the use of expert judgments. To elaborate this method a conceptual approach was used, which combines choosing priority areas for developing the capabilities of the Armed Forces and a recursive way of organising the computing process. The process involved the creation of a system of indicators and performance criteria, their weight coefficients, and recursive and objective functions for constructing a mathematical model for synthesising the results of the strategic analysis of the development of the Armed Forces. The method of strategic analysis of the development of the Armed Forces using the recursive method of organising the computational process (SADAF-RW) produces objective assessments and the expected effect of implementing the chosen strategy for making strategic decisions. It is aimed at improving the state of readiness and capabilities of the Armed Forces in the long term, minimising the use of expert judgments. The method can be used in the elaboration of a scientific and methodological apparatus for assessing the effectiveness of strategic planning for the development of the Armed Forces since it is based on the principles of objectivity of assessments, consistency, and effectiveness of strategic decisions.

Role of visionary leadership in enhancing strategic investment decisions

Purpose: This research sought to diagnose and measure the logical relationships between the research variables represented by visionary leadership and their relationship to strategic investment decisions. The research aims to increase the limitations of research based on the cognitive, organizational and empirical aspects of these relationships by surveying some of the previous studies. Research design: The research was designed with an analytical descriptive approach through deductive analysis in the cognitive and empirical field of the research model and hypotheses.The research sample was limited to a sample of workers in these banks, the questionnaire tool was designed on the five-point Likert scale, as the researcher relied on solid standards whose validity and stability were tested through statistical means and methods in the method of factor analysis.Confirmatory data, and data were processed through the use of advanced statistical software (Smart Pulls) and the program (Spss v.21). Results: The results of the applied analysis of the research community showed that visionary leadership has a strong relationship in enhancing the effectiveness of strategic investment decisions, as the banking sector operates within an environment characterized by continuous and complex dynamics accompanied by risks and threats that the managements of these institutions must avoid or confront.

Corporate governance, litigation risk and firm performance: a mediation moderating model

PurposeThe purpose of this research is to investigate how the negative effect of litigation risk on firm performance could be controlled through the channel of voluntary disclosure and under the condition of institutional ownership.Design/methodology/approachTo get the objectives, the study analyzed an unbalanced panel of 918 non-financial listed Chinese firms from 2010 to 18. To capture any expected unobserved heteroscedasticity and autocorrelation in the unbalanced sample, the authors have applied fixed effect regression with robust standard errors clustered at the firms' levels as suggested by Newey and West (1987).FindingsThe research provides that the good disclosure practices and presence of institutional ownership in corporations raise the trust of the investors by making the corporate operation clear in the eyes of the stakeholders. This increases the corporate credibility and as consequence corporations are protected against litigation risk. Thus, in the light of the information asymmetry and signaling theories, voluntary disclosure practices, and financial institutions' ownership, bridges the information gap and transmit a positive signal in the market regarding the better financial performance of the corporations.Research limitations/implicationsThese findings are helpful for the corporate managers for effective strategic decisions, regulatory authorities for policy formulation, and individual investors for developing a diversified investment portfolio.Originality/valueBy applying the mediation and moderation effects, the research enhances the understanding of the underlying causes of the association between a firm's litigation risk and its performance. The current research contributes to the literature, that agency issues which create litigation risk could be settled internally with voluntary disclosure practices and externally with institutional ownership.