Business Context Research Articles

Emotions and decision-making in boardrooms—a systematic review from behavioral strategy perspective

This systematic review examines the influence of emotions on strategic decision-making in business context, from the perspective of behavioral strategy. We examined 1,227 articles from two databases (Web of Science and PsycInfo), and after applying the inclusion and exclusion criteria, the final sample resulted in 43 articles. Our systematic review focuses on the role of emotions in strategic decision-making as well as the decision-making process itself. This systematic review explores research using a variety of approaches and a combination of theoretical and empirical perspectives brought by the literature. It aims to address three main questions: how board members’ emotions influence their decision-making; what insights behavioral strategy provides on the emotional aspect of strategic decision-making; and what are the main theories linking emotions to strategic decision-making in the business context. The results demonstrate how emotions can affect the quality of decisions and imply that conflict resolution and emotional intelligence are relevant skills for making strategic decisions. This analysis supports the need for incorporating emotional insights into strategic planning methods by considering agreeable and divergent points of view.

Development of Artificial Intelligence in Business Ethics and Regulatory Responsibilities in the Era of Artificial Intelligence

The purpose of this study is to analyze development of artificial intelligence in business ethics and regulatory responsibilities in the era of artificial intelligence. The research methods applied in this study are literature study, comparative regulatory analysis, regulatory analysis, and regulatory risk analysis. Through this research method, it is expected to provide a comprehensive picture of the regulatory framework, ethics, and responsibilities related to the development of artificial intelligence in a business context. The results of the study show that the implementation of a regulatory framework for the use of artificial intelligence in business faces a number of complex challenges, such as regulatory uncertainty, unclear regulatory obligations, data privacy and security, algorithmic bias, compliance with regulations and standards, ethical challenges in autonomous decisions, accountability in cases of failure, understanding by stakeholders, risks at the personal level, and changes in job and market dynamics. Keywords: Development, Artificial Intelligence, Business Ethics, Regulatory Responsibilities, Era of Artificial Intelligence

What innovation and technology delivers to internationalization? The case of European and Central Asia regions

Purpose This study aims to analyze the impact of technology and innovation on businesses’ internationalization process as well as the relationship between innovation and technology and internationalization. Design/methodology/approach The study was based on quantitative analysis of secondary data from 30 economies in Europe and Central Asia, extracted from the Enterprise Surveys – The World Bank database, using the multivariate statistical techniques of multiple linear regression and cluster analysis. Findings The results suggest that innovation and technology (I&T) mutually and positively influence the internationalization of firms. In this sense, innovative firms are more successful in competing internationally and exposure to alternative business contexts culminates in innovation. The results suggest a positive relationship between the percentage of firms that introduced a process innovation, the percentage of firms with websites and the businesses’ internationalization. Originality/value The originality of this research is based on the methodological approach that allowed the identification of the most significant variables for stimulating the internationalization of firms based on innovation and technology. Given the predominance of economies with higher I&T and internationalization in Europe, it is proposed as future research projects to ascertain the reasons for such a phenomenon.

Adaptive Digital Leadership Approaches for Self-engagement to Overcome Digital Transformation Gaps

Digital transformation, forced by a rapidly changing environment and the increasing speed of technological advancements, enables various valuable opportunities in the business context, like increased efficiency, lower costs, and thus enhanced competitiveness, and manifold, complex challenges, like fast-changing customer expectations, increasing job demands, new value creation structures, and disruptive competition from outside the traditional industry boundaries. This often leads to business process reengineering and urges the strategic realignment of management and leadership styles based on competitive positions and corporate goals. In digital transformation, value impedance defines resistances encountered when integrating new digital technologies and processes into existing systems and workflows. Similarly, digital transformation gaps such as the business model gap are discrepancies preventing organizations from fully exploiting benefits and overcoming the challenges of digital transformation. The connection of digital transformation gaps and value impedance is recommended to avoid conflicts when facing digital transformation. However, as many organizations face difficulties with that alignment, this paper introduces the topic of digital transformation gaps, specifically the business model gap, and discusses its bridging with digital leadership aspects regarding self-engagement. Self-engagement enhances employee motivation, innovative work behaviors, performance, and a positive attitude toward change. This research thus answers the following research question: what digital leadership factors contribute to the development of self-engagement of employees in organizations to bridge the business model gap in digital transformation? This qualitative research is based on the Design Science Research method and elaborates four matrices with four strategic options each to enhance the self-engagement of employees, based on validated questionnaire items from the existing literature, and iteratively evaluated and further developed through semi-structured interviews with domain experts. Consequently, these four matrices build the basis for bridges to overcome the business model gap in digital transformation. Further research is suggested, on the one hand, to validate the proposed strategic options quantitatively and, on the other hand, to extend the approach with more strategic options also for other focus areas.

Analysis of institutional factors in the implementation of the action research methodology: lessons learned in a case study

The growing need for academic research to generate a tangible social impact has increased the relevance of collaborative methodologies. Among them, the "Action Research" method stands out for its application in the field of business organization. This is especially relevant in the field of Operations Management as it involves close collaboration with organizations.This study aims to examine the key institutional factors that influence the success of the implementation of the "Action Research" methodology in the business context. Through a case study, two main contributions are made to the "Action Research" literature. First, six key institutional factors are identified to consider in the implementation of an Action Research project: external and internal environment, leadership, strategy, communication, and organizational resources and capabilities. Second, the analysis provides a series of lessons learned that cover the influence of aspects related to company's environment; alignment of objectives; participation of employees; clear definition of roles; training; adaptation and support of work team member; an adequate technological infrastructure; how to promote the participation of external agents; and the influence of communication channels.The identification and analysis of these factors and the lessons learned serve as a reference framework for researchers who are considering carrying out an "Action Research" project to transfer it to the company with which they are going to collaborate, and thus determine if the right conditions are in place to carry out the study.

Mindfulness in the business context: a multi-level model

Purpose The study of mindfulness is still shown to be of interest in different aspects of organisations and/or businesses. Therefore, this study aims to present an integrative, multi-level model of mindfulness based on a holistic approach that can contribute to better governance practices and lead to competitive advantages. Design/methodology/approach To fulfil this aim, an extensive integrative review of the literature, from the main articles about this topic, was made. Findings This study shows that the concept of mindfulness, a conscious presence or full attention and its relation with organisations or firms’ personal, behavioural and social characteristics, in the current context of great adversity, uncertainty and unpredictability, is of interest at the individual, organisational and social level. Practical implications This conceptual study has important implications for both practice and theory. It demonstrates that mindfulness significantly impacts the manager/business person’s ecosystem at the individual, organisational and social levels, particularly in relation to Sustainable Development Goals. Originality/value This study introduces a comprehensive theoretical model that explains this relationship and organises information from a multi-level perspective. This approach can contribute to the advancement of theory by clarifying and discussing the role of mindfulness at the individual, organisational and societal levels. It also identifies opportunities and outlines future research directions, aiming to promote more sustainable development.

Moral character and competence judgments of sexual harassers and fraudsters in academic and business contexts.

Fraud and sexual harassment have been haunting academia for years. While the scientific community proposed strategies to overcome misconduct in research, the problem of sexual harassment seems unresolved. One reason for this might be a difference between men and women in the perception of the moral character and competence of sexual harassers. Across four studies (N = 3776), in the UK and the US, men judged the sexual harasser as less immoral than women (Studies 1, 2, and 3a), even though sexual harassment was considered more harmful than fraud (Study 2). Consequently, men demanded less punishment for sexual harassers than women (Studies 1 and 2). This gender difference was not explained by moral rationalization (Study 3a). Further, a sexual harasser was judged as more competent than a fraudster but in an academic, not business, context (Studies 1 and 2). This effect was driven by the moral decoupling process, which participants used to separate competence judgments from moral judgments (Study 3b). Overall, these results suggest that in the academic context, gender interests most likely shape moral and punishment judgments towards sexual harassers, while the decoupling process allows both genders to perceive them as competent and immoral at the same time.

AI assistance in enterprise UX design workflows: enhancing design brief creation for designers

The study explores the impact of AI tools on the daily tasks of designers in corporate environments, with a focus on the creation and evaluation processes of design briefs. Given ChatGPT’s advanced natural language processing capabilities and its potential to meet the complex communication and analysis needs of design work, this tool was selected to investigate its application in designers’ workflows. Through expert interviews, experimental testing, and third-party expert evaluations, we collected and analyzed data to understand the impact of AI on work processes. The findings indicate that AI tools significantly enhance both operational experience and subjective perceptions across most tasks. Additionally, the study provides a visual comparison of the testing process through a user experience map, highlighting AI’s positive influence on work efficiency, information retrieval, verification, analysis, communication, and decision-making. However, challenges remain in ensuring information authenticity, protecting content copyright, and maintaining professional identity. The primary objective is to gain a comprehensive understanding of the current state of AI application in business contexts and its impact on designers’ roles. By analyzing real-world feedback, the research aims to identify the strengths and weaknesses of AI solutions in enterprises and offer practical recommendations. The study underscores the importance of integrating AI thinking into workflows and adopting a human-centric approach for the future development of corporate work environments.

Centralized Data Warehouse vs. Data Mesh: A Comparative Analysis of Modern Data Management Paradigms

This comprehensive article explores the evolving landscape of enterprise data management, focusing on comparing traditional centralized data warehouses and the emerging data mesh paradigm. As organizations grapple with exponential data growth, projected to reach 180 zettabytes by 2025 [1], the choice of data architecture has become increasingly critical. The article examines both approaches' core principles, advantages, and challenges, highlighting how centralized data warehouses offer strong consistency and governance [2, 8] but face scalability issues [3]. In contrast, data mesh provides enhanced flexibility and domain-specific optimization [4] at the cost of more complex governance [5]. Through a detailed comparative analysis, the study investigates the impact of these architectures on organizational control, scalability, adaptability to business needs, and data quality management. Furthermore, it explores the potential of hybrid approaches that aim to leverage the strengths of both paradigms. The research considers various factors influencing the selection of data management strategies, including organization size, data complexity, and industry-specific requirements. By synthesizing current literature and industry trends, this article provides data professionals and decision-makers with a nuanced understanding of modern data management paradigms, enabling them to make informed choices aligned with their specific business contexts and long-term data strategies.

Architectural views for social robots in public spaces: business, system, and security strategies

This study delineates a suite of architectural views and a security perspective tailored to guide the deployment and integration of Social Robots in Public Spaces (SRPS). It commences with a business context view that utilizes the customer-producer-supplier model, underscoring the value of SRPS to various stakeholders and illustrating how robots can enhance user experiences and drive economic benefits. The system context view details the intricate interactions among the social robot, stakeholders, public spaces, and external systems, highlighting essential considerations for successful deployment, from technical configurations to stakeholder engagement. The functional view elaborates on the operational dynamics of the robot within its environment, focusing on user interaction and data management capabilities. Additionally, the security perspective delves into security considerations vital for safeguarding the SRPS across various domains, including identity and access management, application and network security, and data privacy. The paper also contextualizes these views through a city ferry use case, demonstrating their practical application and reinforcing the importance of multifaceted planning and analysis in real-world settings. This approach provides a strategic framework views for developing SRPS that are viable, efficient, and secure, fostering successful adoption in diverse public environments.

Analisis Penetapan Harga Jual Beli Makanan pada Sistem Prasmanan Perspektif Prinsip Keadilan Ekonomi Islam

This study examines pricing mechanisms in the buffet system at Wisma Tamu Al Ishlah Restaurant from the perspective of Islamic economic justice principles. This research is crucial given the limited studies that analyze buffet pricing practices from an Islamic economic perspective, particularly in a pesantren (Islamic boarding school) environment. This research adopts a qualitative approach with field research methods, utilizing interviews, observations, and documentation for data collection. The findings indicate that the pricing mechanism at Al Ishlah Restaurant employs a cost-based method, setting prices based on raw material costs, capital, operational expenses, and production services, adjusted according to the types of food selected by customers. Generally, the pricing practices at Wisma Tamu Al Ishlah Restaurant align with Islamic economic justice principles, ensuring that no party is disadvantaged and upholding honesty in transactions. Prices are established through mutual agreement between the restaurant and the customer, ensuring fairness. However, price transparency presents a challenge that could affect consumer perceptions. This research contributes to the development of Islamic economic theory in the culinary business context and provides recommendations to enhance justice in buffet pricing..

The Use of Generative Artificial Intelligence for Business Decision-Making

The purpose of this study was to develop autonomous artificial intelligence agents capable of working as a cohesive group to solve intricate decision-making processes, ultimately pushing the boundaries of artificial intelligence’s applicability in high-stakes and real-world scenarios. An autonomous multi-agent model was designed and deployed using the Analytic Hierarchy Process (AHP) decision-making framework, with autonomous AI agents, such as CrewAI and AutoGen, orchestrating multiple stages of activities performed by four distinct agents leveraging generative AI (GenAI). These agents were applied to a use case for proof of concept. The agents used a qualitative dataset to generate management recommendations based on cost and market feasibility considerations. The model was tested with publicly available customer feedback data on oatmeal cookies. It synthesized 913 customer reviews, identified common complaints, provided a summary of potential solutions, and generated a summary of market opportunities, along with relevant challenges. Although a subject matter expert's review is necessary to evaluate the practicality and relevance of the recommendations, the results demonstrated the high potential of multi-agent models in synthesizing and distilling large datasets into actionable insights, thereby augmenting decision-making processes in business contexts. The model's modular design allows for enhancements in quality, accuracy, and practicality by incorporating additional datasets and new agents. This study underscores that the integration of GenAI within a multi-agent model empowers businesses to swiftly transform vast amounts of business intelligence data into practical recommendations.

A Comparative Analysis of Punitive Damages in the United States and Japan: Toward Enhanced Intercultural Understanding

The study provides an in-depth exploration of punitive damages in the United States, focusing on its implications within global business and legal contexts. It examines how punitive damages in the U.S. serve to punish severe misconduct and deter future wrongdoing, particularly in cases of egregious harm. This approach is contrasted with Japanese law, which emphasizes compensating actual losses and typically excludes punitive damages. Through analysis of landmark U.S. cases, such as the Ford Pinto and McDonald's coffee cases, the study highlights both the justifications for and criticisms of punitive damages, including concerns about excessive awards and the evolving legal constraints following rulings like BMW of North America, Inc. v. Gore. Additionally, the paper considers debates on the potential introduction of punitive damages in Japan, acknowledging the cultural and legal factors that create resistance. This comparative analysis aims to foster greater intercultural understanding by illuminating how fundamental differences in legal philosophy shape each country’s approach to corporate liability and justice.

Bridging Theory and Practice: Applying Vrio and Pest to Foster Digital Transformation in Kadin Bandung City Msmes

ABSTRACT The data indicates that approximately 70% of MSMEs in Indonesia operate within the food and beverage sector, with 99.5% falling under the MSME classification. Despite being perceived as having numerous advantages, MSMEs face several limitations that hinder their ability to enhance competitiveness and growth. The PKM program is designed to equip participants with relevant knowledge and skills, aiming to improve product quality, expand market access, and implement effective digital strategies. The approach employed involved direct counseling and mentoring sessions for 20 women-led MSMEs supported by KADIN Bandung City. The most notable improvement was observed in participants' understanding of the benefits of digital transformation, along with a strong motivation to apply it within their business practices. Overall, the counseling and mentoring activities demonstrated their effectiveness in enhancing participants' comprehension and motivation to implement the three concepts presented in a practical business context. Keywords: PEST Analysis, VRIO Analysis, Digital Transformation

LEI GERAL DE PROTEÇÃO DE DADOS (LGPD) E O DIREITO DO TRABALHO

The general data protection law, as amended by Law No. 13,853 of 2019 and in force since September 2020, has brought about changes in the way companies handle data, but also has repercussions on labor law. This is because the primary focus of the law was on the protection and privacy of data subjects, who are mainly affected by the sharing of their private data. However, this also includes company employees themselves, and to what extent there is legitimacy in companies sharing this data. Therefore, this article aims to promote a legal study on the General Data Protection Law and its possible consequences for labor law and labor relations. To this end, the article seeks to present the main points addressed by the General Data Protection Law and to promote an analysis of how labor relations may be affected by the enactment of the General Data Protection Law. The methodology used was the literature reference, based on books and articles that deal with the subject. As conclusions, it can be said that it is therefore of utmost importance that there be a creation or amendment of the Code of Ethics and Conduct and the Internal Regulations of the Company, in accordance with the Privacy and Personal Data Protection Policy. In addition to a confidentiality and confidentiality agreement between the employer and the employee, and a means of communication that facilitates the exercise of the rights of the holders. Finally, adjustment of labor agreements with specific provisions on the LGPD. As well as investment in cybersecurity, both in the business context and in remote work.

Selfism, Empathy, Idealism and Ethical Decision Making in Business and Non-Business Context

Research Aims: The purpose of this study is to examine the impact of individual personality on ethical decision-making in the business and non-business context. An individual's personality is measured using narcissism, empathy, and idealism. In addition, this study also examines the influence of idealism as a variable that moderates the relationship between narcissism and ethical decision-making. Design/methodology/approach: Causal studies are conducted to answer research problems. Furthermore, purposive sampling techniques were used to select samples to be used in this study. A total of 192 Accounting and management students were used as sample in this study. Research Findings: . As a result, narcissism, empathy, and idealism influence ethical decision-making in non-business contexts. In addition, the variable of idealism is not able to moderate the influence of narcissism on ethical decision-making. Theoretical Contribution/Originality: The result of this study may benefit the stream of literature related to ethical decision making. The result of this study may also benefit the business practice.

AI-driven business analytics and decision making

The rapid advancement of Artificial Intelligence (AI) and Machine Language (ML) has revolutionized business analytics, transforming the way organizations make decisions. This paper explores the integration of AI-driven technologies into business analytics to enhance decision-making across various industries. By leveraging predictive and prescriptive analytics, AI enables organizations to not only analyse historical data but also forecast future trends, allowing for more informed, proactive strategies. Machine learning plays a pivotal role in automating data-driven decisions, offering real-time insights that help businesses respond quickly to changing market dynamics. This automation significantly reduces manual intervention, increases efficiency, and enhances the accuracy of predictions. The paper further discusses the integration of AI with Business Intelligence (BI) tools to deliver deeper insights from complex datasets in real time. These insights empower companies to optimize enterprise resources, improve supply chain management, and drive operational excellence. Case studies from AI-driven analytics within Systems, Applications, and Products in Data Processing (SAP) environments highlight the practical applications of AI in real-world business contexts, demonstrating its impact on decision-making and overall performance. The paper concludes with best practices for implementing AI in business analytics, focusing on data quality, system integration, and workforce readiness to embrace AI-enabled decision-making frameworks. The findings underscore the potential of AI as a game-changer in modern business landscapes, fostering smarter, faster, and more effective decision-making processes.

Algorithmic human resource management: toward a functional affordance perspective

PurposeOrganizations are increasingly deploying algorithmic human resource management (HRM) for decision-making. Despite algorithms beginning to permeate HRM practices, our understanding of how to interpret and leverage the functions of algorithmic HRM remains limited. This study aims to review the stock of knowledge in this field of algorithmic HRM and introduce a theoretical perspective of functional affordance to enhance the understanding of the value of algorithmic HRM.Design/methodology/approachA systematic literature review was conducted in this study based on 283 articles. The articles are extracted from the Web of Science and Scopus. The content of the articles was then integrated to formulate the framework for this study.FindingsFunctional affordance highlights algorithmic HRM can be systematically embedded within the organizational environment, with its characteristics naturally suggesting the functionalities or actions available for HR managers to choose from. The findings of this study demonstrate five features of algorithmic HRM from the perspective of functional affordance: awareness of algorithmic HRM, alignment with business model design, action readiness, adaptation to business context and attribution to individuality.Originality/valueThis study provides a novel perspective for understanding the insufficiently theorized application of algorithmic HRM within organizations. It presents an integrated framework that elucidates the key features of algorithmic HRM and elaborates on how organizations can better develop algorithm-driven capabilities based on functional affordance.

The Wealth Creation in Indian and American Businesses

This paper discusses the comparative analysis of wealth production and distribution by looking at the business contexts and earning functions where there are two sides consisting of earning and spending between India and the USA. This research looks at the business inquiries, wealth-centric cultural attitudes, and economic systems in both countries. The USA has skewed more toward innovation and consumer-driven economies, whereas India is more technology, manufacturing, and services-based - all of which are still driven primarily by the traditional values that are focused on long-term financial security. This study synthesizes the extant body of literature to probe how different earning strategies such as the difference between lowering costs and innovation, the spending patterns including corporate social responsibility initiatives and much more may impact the economic outcomes and societal well-being in each country. This paper will show the comparative analysis between India and the USA which will provide information that will help explain the various paths of wealth distribution and accumulation for the two countries.

Strategic Agility and Sustainable Competitive Advantage: How to Leverage Top Management Team Characteristics

Purpose: Ubiquitous disruptive innovations and technologies, frequently changing consumer behaviour, and evolving market dynamics in Kenya, have compelled television stations to constantly explore innovative ways to achieve long term business sustainability. Firms must be ambidextrous; balancing the tensions of excelling in current businesses while exploring opportunities for future growth. This requires top leadership teams that are well suited to the challenge of steering organisations in disrupted business contexts. This paper investigated the effect of top management team characteristics on the linkage of strategic agility and sustainable competitive advantage of licensed television stations in Kenya. Methodology: A descriptive cross-sectional survey was employed and primary data was collected using a semi-structured questionnaire. Data from 210 licensed television stations that were operational at the time of the study was analysed using structural equation modelling (SEM). Findings: The results of the study indicated that strategic agility had a positive and significant effect on sustainable competitive advantage of licensed television stations in Kenya. Further, top management team characteristics were a mediator on the nexus between strategic agility and sustainable competitive advantage, as well as a predictor variable of sustainable competitive advantage of licensed television firms in Kenya. Unique Contribution to Theory, Practice and Policy: The research was underpinned by the dynamic capabilities, resource-based view and upper echelons theories. The implication is that, to achieve sustainable competitive advantage, it is crucial for the top management team to possess specific attributes, including a balanced mix of both young and experienced members, diversity in functional backgrounds (especially those with knowledge of disruptive technologies and innovations), varying educational levels, and a mix of long-tenured and new managers.