New marketing horizons in the fitness industry: experience in implementing digital solutions

The livestock subsector contributes around sixty percent of the gross domestic product (GDP) of the agricultural sector, and poultry products approximately 80.77% of total national livestock production. Although Indonesia's poultry industry shows great potential, exports of Indonesian broiler products still face various obstacles, for instance geographical distance between countries, exchange rates, Covid-19 pandemic and implementation of Free Trade Agreements (FTA). This study aimed to analyze the determinant factors of the export competitiveness of Indonesian chicken products in the international market with a descriptive quantitative method using Likert-scale questions . This study involved the entire population of 45 individuals, consisting of poultry companies engaged in export activities and relevant government institutions. The Gravity Model approach was employed to examine economic and geographical factors, while the Porter Diamond framework was used to assess the determinants of the industry’s competitive advantage. The results showed that geographical distance (-0.09), exporter GDP (0.27), and importer GDP (0.04) affected to export performance. The most influential factors on Indonesia’s chicken products export competitiveness were firm strategy, structure, and rivalry—particularly product adaptation to target markets (4.61)—and government support through export procedure simplification (4.59). Furthermore, related and supporting industries were found to have a strong correlation with competitiveness. The strengths, weaknesses, opportuni-ties, and threats (SWOT) analysis resulted diversification strategies in both products and markets, as well as the integration of digital technology in production and distribution become strategic steps to enhance export competitiveness.

The Industrial Revolution 4.0 era has changed the landscape of the world of manufacturing and technology with the integration of digital technology, automation and sophisticated data communications. The fashion industry in Indonesia is also not immune from the major impact of these changes, especially in marketing decision making. Big data analysis is crucial in optimizing marketing strategies by understanding consumer preferences, market trends and competition. However, the use of big data also brings challenges, especially regarding the security and privacy of consumer data. This research adopts a qualitative method with a literature review approach to investigate the use of big data in marketing decision making in the Indonesian fashion industry. The research results show that big data plays an important role in customer segmentation, consumer behavior analysis, trend prediction, and product innovation. The benefits companies gain from implementing big data include deep understanding of consumer behavior, fast decision making, operational efficiency, better risk management, product and service innovation, improved customer experience, and dynamic price adjustments. However, the challenges faced include data security risks, personal identification risks, and compliance with global privacy regulations. Assessment of the readiness of Indonesian fashion industry companies to adopt big data involves evaluating technology infrastructure, data analysis skills, awareness of big data concepts, data security and privacy, understanding customer behavior, technology adoption, ability to process real-time data, budget availability, readiness for innovation, and acceptance of organizational culture. By considering these aspects, companies can evaluate the extent to which they are ready to integrate big data in marketing decision making to achieve success in the Industrial Revolution 4.0 era.

Digital technology is reshaping the traditional approach to teaching dance. Choreographers and researchers of pedagogy and composition must adapt to the transformations that have taken place in recent years. From the teacher’s point of view, the integration of digital technology, guided by the principles of dance education, offers numerous benefits, even if it cannot replace the physicality and bodily experience of dance training. Recent studies suggest that digitizing choreography could serve as a new pedagogic model. Incorporating digital techniques in dance classes and performances could result in increased fluidity of body movement. Dancers have reimagined body techniques through the use of digital tools, exploring new movement possibilities and conceiving novel choreographies. Video recordings have been used not only for feedback, assessment, and analysis but also for helping dancers refine their technique and gain a deeper understanding of their movement patterns. This article outlines the most important conclusions drawn from direct experience, providing specific examples of how digital technology has been used as a complementary tool to enhance dance teaching methods.

The pharmaceutical industry is undergoing a significant transformation driven by the integration of digital technologies, collectively known as Industry 4.0. This shift is redefining how drugs are developed, manufactured, and distributed. Key technologies such as the Internet of Things (IoT), Artificial Intelligence (AI), and big data analytics are at the forefront of this change, enabling smart manufacturing, real-time process optimization, and enhanced supply chain management. IoT facilitates the creation of interconnected production environments where sensors and devices continuously monitor critical parameters, ensuring optimal conditions and predictive maintenance. AI accelerates drug discovery through predictive modeling, automates quality control processes, and employs predictive analytics to enhance maintenance and process improvement. Big data empowers data-driven decision-making, ensures regulatory compliance through comprehensive analysis, and supports the shift toward personalized medicine by enabling customized drug production. Despite the significant benefits, the adoption of these technologies poses challenges, including integration with existing systems, data security concerns, and navigating a complex regulatory landscape. This review explores these technologies' impact on pharmaceutical manufacturing, highlighting successful case studies and best practices. Additionally, it discusses the future directions, including the move towards fully autonomous systems and the importance of collaboration between tech companies, manufacturers, and regulators to drive innovation and ensure compliance. The continued evolution of digital technologies in pharma manufacturing promises to enhance efficiency, reduce costs, and deliver more personalized treatments.

This research examined the role of big data analytics in improving Zain's marketing plans and pointed out how big data helps segment customers into groups, create personalized marketing campaigns, and make decisions quickly. The research aims primarily to determine The Importance of Big Data Analytics in Developing Marketing Strategies Through its dimensions (identifying customer needs- targeting customers- developing marketing strategies- enhancing the customer experience- improving marketing return on investment- improving marketing decision-making- marketing success- understanding changes in consumer behaviour- big data and mining it), all of these dimensions were formulated in the form of research questions that embody the variables and dimensions in a general manner without going into the fine details and defining their dimensions. The research community consisted of 400 employees working at Zain Company. The sample was selected randomly from different job levels in the company. The sample size was 150 employees from within the research community. The questionnaire form was distributed to them randomly. After that, the forms were collected and entered into the computer. The findings showed that big data analytics is essential for understanding customer behaviour, improving marketing ROI, and encouraging new ideas in the telecom sector. However, issues such as data privacy concerns, high setup costs, and the need for experts were identified. The research concluded with smart suggestions for fixing these issues, such as investing in better tools and employee training and using predictive analytics to retain customers

In a Big Data environment, in order to study the decision-making problem of Big Data information investment and the effects of using Big Data information to improve industry cost on supply chain coordination, firstly the importance of Data Company in supply chain was analyzed, and the original supply chain model was built. Meanwhile, some changes of consumer behavior were analyzed in a Big Data environment. Based on these, the market demand function and the benefit model of stakeholder were built and analyzed. Findings:(1)The first finding is whether an enterprise was suitable for gaining Big Data to improve its costs, which was determined by the cost improvement coefficient; namely, it was related to the ability of excavating and using the value of Big Data.(2)Whether the supply chain was the decentralized decision-making and the centralized decision-making, the thresholds of acquisition costs on Big Data information were equal. Moreover, the maximum value that they could undertake was same.(3)Meanwhile the fact that the quantity discount contract could achieve a win-win outcome for supply chain members was proved. The discount coefficient was related to consumers’ behavior preference in a Big Data environment.

The article examines the accounting and financial support system to ensure the financial security of agro-industrial enterprises in the context of the digital economy. The high level of financial risks, exchange rate fluctuations, increased competition, instability of sales markets and climate change necessitate the creation of an effective financial security system, the basis of which is reliable, timely and analytically complete accounting and financial information. In the modern conditions of digital transformation of the economy, ensuring the financial security of agro-industrial enterprises is one of the key factors of their sustainable development. Accounting and financial support plays a leading role in this system, because accounting becomes not only a means of recording business transactions, but also a source of reliable information for risk management, control, analysis and forecasting of the financial condition. The study substantiates the role of accounting data in assessing liquidity, solvency, profitability and financial stability, which determine the level of financial security of the enterprise. The impact of digitalization on the efficiency of financial and accounting processes is analyzed, in particular the implementation of ERP systems, cloud accounting platforms, electronic document management, big data analytics and digital signatures. It is proven that the integration of digital technologies provides transparency, automation and operational control over financial resources, reduces the impact of human errors and strengthens analytical capabilities in financial risk management. The article highlights the main threats to the financial security of agricultural enterprises – price volatility, credit dependence and weak internal control systems – and suggests areas for improving financial management mechanisms. The development of intelligent analytical systems, digital audit and predictive financial modeling is identified as a strategic priority for strengthening the financial stability, competitiveness and adaptive potential of agro-industrial enterprises in a dynamically changing digital environment.

The high-rate urbanization has complicated the problems with the resources outflow, environment impoverishment, and efficient delivery of the social services, this is why all the cities of the world discuss the models of smart and sustainable urban development. The analytical paper will study the manner in which smart city projects contribute to improving the urban sustainability in a data-driven analytical framework. The article is dedicated to the level of improvement in the environmental results, economic effects, and social well-being of urban areas where the integration of digital technologies, big data analytics, and smart infrastructure is underway. In establishing the trends and correlation between smart governance practices and sustainability outcomes, secondary sources of data, including world smart city rankings, city sustainability reports, and city open-data sites, will be reviewed. These are energy efficiency, waste management, mobility system, water resource optimization and citizen involvement as some of the indicators that can be used to ascertain the effectiveness of data driven decision making in urban management. It has also been found that those cities which have used the opportunity of real-time data, Internet of Things (IoT) application, and predictive analytics are those which have demonstrated the measurable increase in the resource usage, decrease in emissions, and reactivity of services. However, the research also mentions such challenges as the privacy of the data, differences in the availability of technologies, and inability to control them at a large scale that can be a barrier to the sustainability of the smart cities project in the long-term perspective. The paper says that the technological aspect of the equation is lacking; institutional coordination, inclusion policies and ethical data governance are essential components to achieve sustainable outcomes. The paper presents empirical evidence of the interaction of smart technologies and urban sustainability to the body of existing evidence based urban planning. The study gives policy implications to policy makers, urban planners and city administrators who desire to make smart cities resilient, inclusive and environmental friendly as the city complexities rise.

The modern economic landscape is characterised by a high level of dynamism, which necessitates the use of innovative strategies for managing the development of enterprises. The article considers the issues of evaluating the efficiency of managing the variable economic development of enterprises, which involves analysing alternative strategies and adapting to changes in the external environment. It has been determined that traditional approaches to evaluating the effectiveness of management decisions often do not take into account the multi-vector development of enterprises, which can limit their competitiveness in the long term. The study substantiates the need to apply innovative evaluation methods, in particular, the integration of digital technologies, artificial intelligence and big data analytics into management decision-making processes. The emphasis is placed on the use of forecasting models that allow to assess the probability of success of alternative development strategies and their impact on the financial stability of enterprises. A system of criteria for assessing the effectiveness of variable economic development is proposed, which covers not only financial indicators, but also the level of technological innovation, resilience to crisis phenomena and the ability to scale business processes. Special attention is paid to the practical aspects of implementing innovative assessment strategies. Real cases of applying digital platforms and machine learning algorithms for monitoring and analysing the economic development of enterprises are considered. It is proved that the use of adaptive valuation models can reduce the risks associated with the uncertainty of the market environment, as well as increase the flexibility and efficiency of management decisions. The results of the study can be useful for business executives, analysts, strategic managers and researchers who are engaged in assessing the effectiveness of management under conditions of uncertainty. The proposed approaches help to optimise management processes, increase the competitiveness of enterprises and ensure their sustainable development in the long term.

The idea that organizational knowledge constitutes valuable strategic capital is increasingly popular nowadays. In order to maintain their position and to be competitive, organizations need to generate, collect, share, and exploit organizational knowledge efficiently and effectively. The effective handling of such knowledge is ever more widely recognized as a significant factoring of competitiveness. The first organizational efforts to manage knowledge focused on information technology solutions. These IT solutions, although important to knowledge management, often failed to achieve their objectives because organizations did not consider cultural factors critical to effective knowledge management. In this paper we explore the characteristic features of national and organisational cultures' impacts on knowledge management and competitiveness. We take on board Trompenaars's insight concerning national and organizational culture. Following our theoretical exploration of national and organizational culture, we report the findings of two researches, which have revealed the relationship between knowledge management, cultural characteristics, and competitiveness. Finally, we present the implications of our argument by focusing on the links between knowledge management and culture. We do this in order to show, that cultural characteristics are not only determinant factors of competitiveness but also of knowledge management, which is a key factor of competitiveness.

The current tendency of human learning and teaching is targeted to development and integration of digital technologies (like cloud solutions, mobile technology, learning analytics, big data, augmented reality, natural interaction technologies, etc.). Our Science Gateway (http://scigate.imp.kiev.ua) in collaboration with High Performance Computing Center (http://hpcc.kpi.ua) is aimed on the close cooperation among the main actors in learning and researching world (teachers, students, scientists, supporting personnel, volunteers, etc.) with industry and academia to propose the new frameworks and interoperability requirements for the building blocks of a digital ecosystem for learning (including informal learning) that develops and integrates the current and new tools and systems. It is the portal for management of distributed courses (workflows), tools, resources, and users, which is constructed on the basis of the Liferay framework and gUSE/WS-PGRADE technology. It is based on development of multi-level approach (as to methods/algorithms) for effective study and research through flexible selection and combination of unified modules ("gaming" with modules as with LEGO-bricks). It allows us to provide the flexible and adjustable framework with direct involvement in real-world and scientific use cases motivated by the educational aims of students and real scientific aims in labs.

The integration of digital technologies like big data, Artificial Intelligence (AI), and the Internet of Things (IoT) is driving a disruptive transformation within the global retail sector. This study examines the profound impact of AI on retail business models, focusing on its role in reshaping operational strategies and customer interactions. Utilizing a mixed-methods approach that combines literature analysis with comparative data analysis, this research quantitatively and qualitatively evaluates AI implementation across various retail domains, including personalized marketing, supply chain optimization, and customer service reconstruction. The findings indicate that AI significantly enhances operational efficiency by optimizing inventory management and reducing costs, while simultaneously revolutionizing customer experience through hyper-personalization. However, challenges such as data privacy concerns and employee adaptation present significant hurdles. This study concludes by proposing strategic recommendations for retailers to navigate these challenges, underscoring the critical role of AI in sustaining competitive advantage in the digital era. The research contributes to the existing body of knowledge by providing a holistic analysis of AI's impact mechanisms and offering practical insights for successful digital transformation.

The article explores the topic of the effectiveness of using interactive communication tools and CRM systems in the modern digital marketing environment. The analysis is based on examining current trends in digital marketing and defining the role of various interactive tools in engaging with the audience. The article investigates the impact of different interactive tools such as social media, webinars, online surveys, messengers, on creating effective communication and engaging the target audience. Special attention is given to the use of CRM systems for collecting and processing customer data, enabling the personalization of marketing strategies and increasing customer satisfaction. In the modern digital marketing landscape, the relevance of using interactive communication tools and CRM systems becomes particularly significant. With increasing competition and rapidly changing consumer preferences, businesses must seek effective ways to attract and retain the attention of their target audience. Interactive tools such as social media, webinars, and messengers provide a unique opportunity to engage with users, making communication more personal and compelling. The growing importance of using CRM systems arises from the need for effective management of customer data in the digital environment. Collecting and analyzing information about consumers enables businesses to personalize their marketing strategies and also maintain and improve customer relationships. All these aspects become key factors in enterprises' pursuit of achieving effectiveness in digital marketing and ensuring a high level of customer satisfaction. Overall, considering the rapid advancement of technology and changes in consumer behavior, the use of interactive communication tools and CRM systems in the digital marketing environment becomes a necessity for businesses aiming to remain competitive and successfully adapt to changes. The positive aspects and challenges associated with the use of these tools in the context of digital marketing are thoroughly analyzed. The article also provides specific practical recommendations and strategies to optimize the use of interactive tools and CRM systems for achieving maximum efficiency. With a scientific approach and practical orientation, the research presented in this article can be valuable for marketers, business development managers, and professionals responsible for brand strategies, seeking to enhance their digital marketing approaches and strengthen customer relationships through interactive tools and CRM systems.

Artificial intelligence (AI) and big data are technologies with the potential to transform transfusion medicine (TM). This survey explored the scope of AI and big data use in TM across the Eastern Mediterranean and North Africa region. A survey was distributed among transfusion professionals to explore current use, perceived benefits and barriers to adopting AI and big data. Fifty respondents participated; the majority worked in national/regional transfusion services, and 58% worked in academic institutions. Only 24% reported using AI in daily TM practice, primarily for administrative tasks, education and research. Clinical applications were mainly in blood donor recruitment and management. Most used generative AI tools (92%) and were self-taught. Big data were employed in 36% of respondents' institutions, most often for inventory forecasting and optimizing blood product utilization. Most institutions used data based on laboratory information systems (89%), donor databases (72%) and electronic healthcare/patient records (67%). The main challenges and concerns regarding AI adoption were the lack of regulatory guidance, limited expertise, insufficient clinical validation of AI tools, implementation cost and ethical and privacy concerns. In terms of big data, the key barriers were insufficient expertise in data management and a lack of infrastructure for data storage. AI and big data adoption in TM within the region remains limited. Major barriers include regulatory gaps, lack of expertise, cost constraints and infrastructure limitations. Strategic investment in regulatory frameworks, targeted training and technical resources is essential to facilitate safe and effective integration into transfusion practice.

In the rapidly growing world, psychological wellness has turned into a basic issue in both professional and expert settings. Students and employees alike face increasing pressure to perform, often leading to stress, anxiety, and other mental health challenges. As this recognition grows, there is a clear need for stronger collaboration between universities and workplaces to address mental health in a more comprehensive and sustainable way. Collaborative efforts can ensure that mental well-being is supported not just in one phase of life but throughout a person's academic and professional journey. To enhance effective collaboration between universities and the workforce, digital literacy tends to play very crucial role. The integration of technology in education that includes the use of digital tools in classrooms and virtual classrooms engages students and aligns with modern learning objectives. Mental health is an equally important consideration when discussing effective workplace collaboration.