Artificial Intelligence In Business Research Articles

Artificial intelligence and the effectiveness of marketing messages

The lack of scientific research on whether there are, and if so, how big are the differences in the attitudes of population about the effects of artificial intelligence on increasing the effectiveness of marketing messages is a research problem. Descriptions of the strength of attitudes of different groups of respondents are broken down by gender, age, highest level of education and work status on whether does the use of artificial intelligence in marketing increases the effectiveness of marketing messages and explanations of reasoning for such strong attitudes represent goal and science contribution of this research. Results of the research are positive, in other words, there is a general understanding among the respondents that artificial intelligence should be used in marketing to increase its effectiveness. The authors consider that over time there will be an increase of the understanding of the benefits in using artificial intelligence in marketing and overall business because increase of usage of artificial intelligence in business is also trending in Croatia.

Competing Legal Futures – “Commodification Bets” All the Way From Personal Data to AI

Abstract This Article explores the implications of Artificial Intelligence (AI)-driven innovation across sectors, highlighting the resulting legal uncertainties. Despite the transformative influence of AI in healthcare, retail, finance and more, regulatory responses to these developments are often contradictory, contributing to the opacity of the legal underpinnings of AI business. Our Article notes the common trend of commercializing AI tools amidst legal uncertainty, using innovative contractual solutions to secure claims. Over time, these innovations trigger overlooked legal conflicts, sometimes leading to outright bans on AI products due to negative impacts on some fundamental rights and democratic Governance. The core argument of our Article is that an over-reliance on co-regulatory strategies, such as those proposed by the European AI Act, exacerbates legal instability in emerging technological markets. This panorama creates an ’extended legal present’ when alternative legal expectations coexist, thus causing economic and political uncertainty that may elicit legal instability in the future. The concept of ’competing legal futures’ is introduced to illustrate how economic actors must bet on a legal future in the absence of guarantees that this future will materialize. To help analyze this complex narrative, we propose a theoretical framework for understanding legal, technological, and economic dynamics, highlighting anomalies in market exchanges within the co-regulatory model. Despite the focus on European developments, the practical and theoretical implications extend beyond the EU, making the Article relevant to a broader understanding of the legal-economic challenges posed by AI and digital innovation. We conclude by arguing for a course correction, proposing institutional diversification for resilient governance of legal innovation under uncertainty.

The role of artificial intelligence in ensuring the effective functioning of business processes: current state and prospects

Relevance. Artificial intelligence (AI) has become one of the most discussed and rapidly developing technologies in recent years. Its potential and capabilities have a significant impact on various spheres of life, including business. AI algorithms are used to analyze huge amounts of data and make forecasts, which helps companies make more efficient and rational decisions.The purpose is to study the main trends in the use of artificial intelligence in business and determine its potential and advantages.Objectives: to consider various aspects of the use of AI in business, to investigate its impact on the efficiency and effectiveness of business processes, as well as to identify the challenges and limitations associated with the use of this technology.Methodology.The research methodology includes empirical and analytical methods, statistical analysis is also used, revealing the features of the introduction of artificial intelligence in the business sphere.Results. It has been revealed that the main areas of application of artificial intelligence in business are sales and communication with customers, marketing, content creation, and personnel management. The important aspects that companies should pay attention to when implementing artificial intelligence are indicated.Conclusions. The results of the study showed that artificial intelligence (AI) has huge potential to improve business efficiency and productivity. Data security is a key aspect when using AI in business. Companies should pay special attention to the protection of information, ensuring confidentiality and data integrity. It is also important to keep in mind the ethical aspects of using AI in business, such as fairness, transparency and responsibility for decisions.

The potential of artificial intelligence in business

The article examines the potential of artificial intelligence in entrepreneurial activity in the Russian economy at the present stage of its development in the context of modern challenges. The authors identified Russia’s place in global trends related to artificial intelligence. The authors paid attention to such relatively little–studied aspects of the use of artificial intelligence as the modernization of business processes in all sectors of the economy; improving the labor market through new forms of employment; optimization of migration policy; increasing the efficiency of the institution of self–employment in general and in terms of pension provision for the self–employed in particular; optimization of the size of the «shadow economy»; improvement of entrepreneurial activity through more complete implementation of the functions of an entrepreneur. The authors have identified the high positive potential of artificial intelligence in solving a number of problems in the Russian economy, including: reducing the size of the shadow economy, optimizing the labor market and migration policy, improving business processes and a number of others.The article shows that reducing transaction and transformation costs with the help of artificial intelligence will increase the growth rate of the Russian economy, increase the level of well–being of citizens and fully realize the functions of an entrepreneur in a market economy.

OPPORTUNITIES OF USING ARTIFICIAL INTELLIGENCE IN SMALL AND MEDIUM-SIZED BUSINESSES

In the 21st century, artificial intelligence has been recognized as the main driver of universal progress. It has already gained a place in the economy of developed countries. It is used in both public and private sectors: in education, transport, finance and banking sector, medicine, and so on. Based on the scientific papers of artificial intelligence researchers, it is clear that small and medium-sized businesses can get significant benefits from artificial intelligence use. Small and medium-sized enterprises often work with limited resources, and automating repetitive tasks that can be performed with the help of artificial intelligence can help them save time and costs. Through artificial intelligence, SMEs are empowered to make data-driven decisions, improve their products or services, and identify new opportunities. The paper discusses the possibilities of using artificial intelligence in business, how AI can transform business operations and, therefore, the global economy, highlights the positive and negative aspects of AI, and expresses opinions in the direction of reducing the challenges associated with the introduction of artificial intelligence.

Artificial Intelligence in Business and Industry

Artificial Intelligence in Business and Industry

Impact of Artificial Intelligence in Business: What Uganda needs to do to survive the Artificial Intelligence Revolution

Impact of Artificial Intelligence in Business: What Uganda needs to do to survive the Artificial Intelligence Revolution

THE ETHICAL IMPORTANCE OF ARTIFICIAL INTELLIGENCE IN B2B MARKETING: A CRITICAL ANALYSIS

The article discusses some relevant philosophical and methodological aspects of the analysis of the processes of digitalization of markets and the introduction of digital technologies in business management related to digital ethics. The empirical research conducted by the author is aimed at identifying current trends in the implementation of artificial intelligence in marketing, the attitude of company management to the implementation of these processes, awareness of ethical aspects and problems of interaction with consumers. The goal of the work is to advance the issues of determining the attributes of digital ethics for the use of artificial intelligence in business: assessing the awareness of new opportunities and risks in Russian entrepreneurship. These issues naturally attract the attention of Russian. In this regard, a number of ethical problems relevant to the digital space are identified, such as problems of information wars and cyber attacks, problems of information security, privacy of private life, primacy of information sources, digital education technologies, transformation of moral values, in particular , perceptions of cruelty and violence in the digital entertainment industry, ethics of virtual communities, the use of artificial intelligence and virtual reality in production teams. The issues of developing the business environment, in particular, the reputational risks of companies in the context of the emergence of a new digital ethics, also deserve special attention . The wide public response to the ethical aspects of digitalization of various aspects of public relations has led to the development of a number of international and Russian documents that bring to the fore the observance of ethical principles and norms in the new environment of life and development of society. About two dozen large Russian companies and organizations signed the first Russian “Code of Ethics for Artificial Intelligence” at the end of 2021. The Artificial Intelligence Code states that responsibility in the application of this technology must always remain with humans. Its development is provided for by the AI Development Strategy until 2030 and the federal project “Artificial Intelligence”. For now, compliance with the norms of this document is voluntary. There are similar documents in 20 countries, 35 large companies in the world already have their own codes, in Russia - Sberbank and Yandex (Artificial Intelligence...). At the end of 2022, the European Union adopted the European Declaration on European Digital Rights and Principles (European Digital Rights.). Keywords: digital ethics, business ethics, artificial intelligence, marketing, parasocial relationships.

Rise of Artificial Intelligence in Business and Industry

The integration of artificial intelligence (AI) into business and industry is catalyzing a paradigm shift in how organizations operate, innovate, and interact with stakeholders. This abstract explores the multifaceted implications of AI across various domains, highlighting its role in automation, predictive analytics, personalized customer experiences, supply chain optimization, enhanced decision-making, natural language processing, product innovation, risk management, fraud detection, healthcare advancements, and workforce augmentation. By leveraging AI technologies, businesses can automate repetitive tasks, anticipate trends, tailor experiences, optimize operations, mitigate risks, and foster innovation. However, the widespread adoption of AI also poses ethical and societal challenges, including concerns about job displacement, data privacy, and algorithmic bias. Therefore, a holistic approach that balances technological advancement with ethical considerations is essential to harness the full potential of AI while ensuring its responsible and equitable deployment in business and industry.

Creating AI business value through BPM capabilities

PurposeAlthough businesses continue to take up artificial intelligence (AI), concerns remain that companies are not realising the full value of their investments. The study aims to provide insights into how AI creates business value by investigating the mediating role of Business Process Management (BPM) capabilities.Design/methodology/approachThe integrative model of IT Business Value was contextualised, and structural equation modelling was applied to validate the proposed serial multiple mediation model using a sample of 448 organisations based in the EU.FindingsThe results validate the proposed serial multiple mediation model according to which AI adoption increases organisational performance through decision-making and business process performance. Process automation, organisational learning and process innovation are significant complementary partial mediators, thereby shedding light on how AI creates business value.Research limitations/implicationsIn pursuing a complex nomological framework, multiple perspectives on realising business value from AI investments were incorporated. Several moderators presenting complementary organisational resources (e.g. culture, digital maturity, BPM maturity) could be included to identify behaviour in more complex relationships. The ethical and moral issues surrounding AI and its use could also be examined.Practical implicationsThe provided insights can help guide organisations towards the most promising AI activities of process automation with AI-enabled decision-making, organisational learning and process innovation to yield business value.Originality/valueWhile previous research assumed a moderated relationship, this study extends the growing literature on AI business value by empirically investigating a comprehensive nomological network that links AI adoption to organisational performance in a BPM setting.

Generative Artificial Intelligence in Business: Towards a Strategic Human Resource Management Framework

AbstractAs businesses and society navigate the potentials of generative artificial intelligence (GAI), the integration of these technologies introduces unique challenges and opportunities for human resources, requiring a re‐evaluation of human resource management (HRM) frameworks. The existing frameworks may often fall short of capturing the novel attributes, complexities and impacts of GAI on workforce dynamics and organizational operations. This paper proposes a strategic HRM framework, underpinned by the theory of institutional entrepreneurship for sustainable organizations, for integrating GAI within HRM practices to boost operational efficiency, foster innovation and secure a competitive advantage through responsible practices and workforce development. Central to this framework is the alignment with existing business objectives, seizing opportunities, strategic resource assessment and orchestration, re‐institutionalization, realignment and embracing a culture of continuous learning and adaptation. This approach provides a detailed roadmap for organizations to navigate successfully the complexities of a GAI‐enhanced business environment. Additionally, this paper significantly contributes to the theoretical discourse by bridging the gap between HRM and GAI adoption, the proposed framework accounting for GAI–human capital symbiosis, setting the stage for future research to empirically test its applicability, explore its implications on HRM practices and understand its broader economic and societal consequences through diverse multi‐disciplinary and multi‐level research methodologies.

Innovative Application of Artificial Intelligence in Business Impacting Socio-Economic Progress

Innovative Application of Artificial Intelligence in Business Impacting Socio-Economic Progress

DIGITAL TRANSFORMATION POTENTIAL: THE ROLE OF ARTIFICIAL INTELLIGENCE IN BUSINESS

Purpose: The integration of Artificial Intelligence (AI) into business operations has become a pivotal driver of innovation and efficiency. This research paper explores the multifaceted landscape of AI implementation in businesses, examining the benefits of AI implementation. Theoretical Framework: The methodology adopted for this research comprises Semi-structured interviews with six key stakeholders’ executives, AI project managers, and digital transformation staff. Six additional globally businesses were chosen for case studies based on AI adoption maturity and digital transformation performance. Additionally, a qualitative content study of AI and digital transformation literature was conducted. Results and Discussion: The study revealed that as businesses continue to integrate AI, a balanced approach considering workforce implications is crucial to realizing the full potential of AI. The study also found out that the adoption of Artificial Intelligence in business is a nuanced process shaped by a confluence of factors. Organizational leadership, culture, resource availability, perceived benefits, regulatory considerations, data security, technology evaluation, and workforce readiness all play intricate roles. Thus, a holistic understanding of these factors empowers organizations to navigate the complex space of AI adoption, unlocking its transformative potential. Research Implications: The study's findings have many practical implications to businesses adoption of AI. AI, managers must promote innovation and adaptability. AI implementation requires human and technology capital. To reduce AI risks, legal and data security measures must be followed. To prepare employees for an AI-enabled workplace, organizations should adopt comprehensive training and development programs. Businesses may overcome AI implementation challenges and capitalize on its disruptive potential by addressing these five pragmatic elements. Originality and Value: This study contributes to the literature by offering insights into the nuanced landscape of AI adoption in businesses, emphasizing the crucial role of workforce considerations. It provides a comprehensive understanding of the multifaceted factors shaping AI implementation. The relevance and value of this research are evidenced by the holistic approach and contributes valuable guidance for organizations navigating the complexities of AI adoption, fostering innovation and efficiency while prioritizing workforce integration.

The future of AI politics, policy, and business

AbstractOur aim with this special issue on the future of artificial intelligence (AI) politics, policy, and business is to give space to considering how the balalnce between risk and reward from AI technologies is and perhaps should be pursued by the public and private sectors. Ultimately, private firms and regulators will need to work collaboratively, given the complex networks of actors involved in AI development and deployment and the potential for the technology to alter existing policy regimes. We begin the introduction of this special issue of Business & Politics with a discussion of the growth in AI technology use and discussions of appropriate governance, followed by a consideration of how AI-related politics, policy, and business intersect. We then summarize the contributions of the authors in this issue and conclude with thoughts about how political science, public administration, and public policy scholars have much to offer, as well as much to study, the establishment of effective AI governance.

Impact of artificial intelligence and machine learning on business processes

Methods. The article is based on a theoretical review of the impact of artificial intelligence and machine learning on changing business models. In the course of study, the methods of scientific abstraction were used – when establishing the relationship between artificial intelligence and machine learning, analysis and synthesis – when determining the advantages of using artificial intelligence in business. Results. The article examines the essence of artificial intelligence and machine learning, shows the relationship between them. The impact of these new digital tools on economic processes and, above all, on the dynamic aspects of the functioning of business structures is characterized. The opinion of experts is presented, who predict that artificial intelligence will do everything that humans can do, but with much higher accuracy. Discussions on the ethical aspects of using artificial intelligence are analyzed. It was determined that Business Operation allows organizations to quickly cope with their business opportunities, reduce the number of errors, increase the transparency of their activities and thus create favorable conditions for significantly improving the results of their economic activities. Along with this, companies get the opportunity to observe their workforce, on the basis of which to create favorable conditions for improving its quality and introducing innovative content. This allows to significantly increase the innovative activity of companies, since the use of artificial intelligence allows forming requirements for teams, as it allows seeing the first obstacles to the development of innovative solutions. At the same time, if businesses maintain a better erudition about artificial intelligence, they will be able to modernize their business early and succeed. Novelty. The study demonstrated important aspects of the interconnection between artificial intelligence and machine learning and their impact on changing business models. Practical value. The study demonstrated important aspects of the relationship between artificial intelligence and machine learning and their impact on changing business models.

The role of artificial intelligence in the development of entrepreneurial initiatives among displaced persons: management of innovative social work practices

The article focuses on the scientific, theoretical, and practical approaches to involving artificial intelligence in the economic and social spheres. The authors examined the main issues of intensifying the digitalization process in business activities worldwide. The paper highlights the extent of the actual and potential use of artificial intelligence in business as well as the involvement of specialists in the digitalization system. The authors described the advantages and drawbacks of using artificial intelligence in social work, particularly with displaced persons (DPs). The article also analyzed the dynamics of venture capital investment into artificial intelligence. The study summarized the results of market research on the impact of artificial intelligence on the development of business processes worldwide and in particular countries. The authors highlighted the experience of European countries in using artificial intelligence for the socioeconomic integration of refugees from Ukraine. In addition, they outlined the threats and opportunities of using artificial intelligence in business. The research focused on the main provisions of the territorial community work organization for developing entrepreneurship in Ukraine for displaced persons.

Theory‐Driven Perspectives on Generative Artificial Intelligence in Business and Management

Theory‐Driven Perspectives on Generative Artificial Intelligence in Business and Management

Artificial intelligence capabilities, open innovation, and business performance – Empirical insights from multinational B2B companies

In contrast to the operational nature of business-to-consumer (B2C) enterprises, business-to-business (B2B) organizations emphasizes offering specialized products and services to their clients, which are businesses. Recognizing that B2B organizations are dealing with complex metadata in an ever-changing business context, artificial intelligence (AI) technologies possess the potential in assisting them analyse massive amounts of data, generating actionable insights, and formulating revolutionary ideas, potentially improving collaboration and innovation. As a result, this study adopts an empirical research approach to analyse the relationship among AI capabilities, open innovation, and business performance, with an emphasis on B2B companies, based on the theoretical foundations of social-technical system and contingency theories. This study investigated the relationship between AI capabilities and open innovation practices, as well as the effect they have on business performance, using survey data collected from 398 B2B multinational companies and structural equation modelling. The findings indicate that AI capabilities have a favourable effect on open innovation practices, which subsequently leads to an improvement in business performance. Notably, the impact of AI capabilities on business performance was found to be partially mediated. The examination of the moderating effect of environmental dynamism reveals that it exerts a significant influence on the relationship between AI capabilities and outbound open innovation. However, it does not have a significant moderating impact on the causal interaction of AI capabilities on both business performance and inbound open innovation. The ramifications of these findings are significant for managers and policymakers who are interested in fostering innovation and enhancing competitiveness within the B2B sector. The results underscore the crucial role of cultivating AI capabilities.

Technologie generatywne w szkolnictwie wyższym - diagnoza sytuacji, przydatne kompetencje i propozycja metody

This article proposes the application of generative technologies, specifically large language models, in higher education. While such technologies present novel opportunities, at the same time, they raise concerns, including potential cognitive degradation, job displacement, and intellectual property issues. The first section of this paper introduces the essential concepts and methods of generative technologies, coupled with a discussion on the necessary competencies to fully harness their potential. The next section suggests an addition to usual teaching methods, using the ‘Artificial Intelligence in Business’ course as an example. This proposed enhancement incorporates a review of student work outcomes by systems powered by large language models. The underlying didactic principles of the course, sample system reports, and an illustrative diagram of the teaching process are presented. The paper concludes by contemplating the possible advantages and challenges posed by these technologies in pedagogy, along with recommendations for future research.

Practical aspects of applying Artificial Intelligence in business

This paper explores the role of artificial intelligence (AI) in contemporary management. The author examines how artificial intelligence contributes to the enhancement of leadership efficiency and the optimization of business processes. The focus is on analyzing the capabilities of artificial intelligence for learning, reasoning, self-correction, and their impact on decision–making in the managerial sphere. The article discusses the economic benefits that enterprises can gain from integrating artificial intelligence, including improving the quality of managerial decisions and strengthening competitive advantages.The author describes the evolution of artificial intelligence through generations of models from OpenAI, highlighting their growing abilities in understanding and processing natural language. Examples of the use of artificial intelligence in data analytics are provided, making the findings relevant for both theoretical researchers and practitioners. The article can be useful for those interested in innovative approaches to management and business development.