Thunderbird International Business Review最新文献

Populist leadership has gained global traction in recent years, often emerging as a voice for the people against established institutions and elites while championing traditional values. However, the repercussions for the business environment remain elusive. This study examines the impact of populist policies on businesses, with a specific focus on the responses of large companies. We analyze two decades of the Brazilian political landscape to identify controversies surrounding populism's rhetoric and its real-world effects on people's lives and business practices. Through this case study, we introduce a framework that explores the interplay between populism's influence and public policies, shaping market dynamics. In response, companies strategically adapt to maintain their competitiveness. This study, set in the Brazilian context, provides valuable insights and lessons for international businesses operating in politically diverse and dynamic economies.

How does a mismatch between management and cultural norms lead to decreased engagement and productivity? Within both Germanic and Mediterranean cultural spheres, trust dynamics mirror deeply ingrained kinship patterns, which evolve slowly over time. The inclination to trust within one's own kin group is notably stronger among Mediterranean populations compared to their Germanic counterparts. Even as these populations migrated to regions such as Latin America and the United States, the distinct trust patterns persist. Germanic managerial methodologies rely heavily on trust-based behaviors inherent to Germanic cultures, which may not find resonance within the Mediterranean cultural context. Consequently, such managerial approaches often prove less effective within Mediterranean clusters. In contrast, management practices that prioritize kinship dynamics, commonly seen among Mediterranean peoples, foster an environment of trust, teamwork, and a sense of collective responsibility. This approach necessitates fewer bureaucratic controls and cultivates heightened levels of engagement and performance in the workplace. These assertions draw from a synthesis of historical accounts, business literature, anthropological studies, as well as empirical evidence from sources such as the World Values Survey Wave 6 data and field research conducted over a 2-year period within a Brazilian samba school setting.

This study aims to understand the main factors that contribute to the failure of implementing New Public Management (NPM) plans, as well as to investigate the potential link between informal networks, namely wasta, and this failure in organizations across the Middle East and North Africa (MENA region), with Jordanian public organizations taken as an illustrative case. A qualitative approach was applied, and a total of 24 semi-structured interviews were conducted with HR officials in Jordanian public organizations, different state-owned enterprises (SOEs), ministries, and government agencies (GAs). The results show that wasta contributes to the failure of NPM implementation in Jordanian public organizations, indicating that public employees contribute directly to the failure of NPM strategies in Jordanian public organizations for many reasons on top of which their resistance to these reform plans. Our findings also suggest that the implementation of NPM strategies failed to diminish the use of wasta in HRM practices even though wasta was an important reason to implement NPM. This study adds knowledge to the limited informal networks literature, by exploring the interplay between informal networks on one side, and the NPM literature on the other side.

Artificial intelligence is a dynamic and emerging form of technological innovation that has numerous ramifications for international business managers. The aim of this article is to obtain commentary from researchers about the role artificial intelligence will play in the global arena. This includes asking questions about how it will affect internationalization processes and whether it will lead to more international collaboration. Well-known researchers provide advice on what international business managers should do in terms of staying competitive but also how they can integrate learning from artificial intelligence into their business operations. Lastly, suggestions for future research regarding the interplay between international business and artificial intelligence are provided.

Artificial intelligence is poised to transform international business through the adoption of new digital technology practices as part of the fourth industrial revolution. The how, when, and why of artificial intelligence implementation in international business is still somewhat unknown but will likely significantly influence performance outcomes, market interpretation, risk prediction, consumer interactions, and technology-based metrics. With greater emphasis on artificial intelligence-based tools, the future practice of international business will require digital literacy. This means business managers need to improve the way they analyze artificial intelligence in terms of appreciating its usefulness while maintaining privacy and mitigation strategies. In this editorial, we discuss the current developments regarding artificial intelligence in international business with the goal of identifying future research areas of importance.

While extensive research has explored the internet's role in internationalization, there is limited understanding of how augmented reality (AR) and virtual reality (VR) contribute. Our objective is to address and fill this gap by investigating the roles of AR and VR in international expansion of services and cultural products. The paper addresses facilitators and barriers for the use of these technologies in international business. It argues that advancements in information and communication technologies have played a pivotal role in fostering the integration of AR and VR into global business operations. The study examines the role of these technologies in inward internationalization, particularly in the tourism sector The article also delves into the disintermediation effects of AR and VR compared to Internet-based platforms, emphasizing their potential to outperform traditional e-commerce websites. Additionally, the research explores how AR and VR stimulate the internationalization of cultural products, such as concerts and visual art, overcoming geographical constraints. AR and VR technologies are currently in use by a variety of entities, including national tourism authorities, destination management organizations (DMOs), and service providers in the travel and hospitality industries, such as airlines and hotels. They are also employed by producers of cultural products, such as concerts and visual art. The ongoing advancements in these technologies are expected to broaden their existing applications.

The emergence of artificial intelligence (AI) has transformed global business, aiding operational efficiency and innovation. It utilizes machine learning and big data analytics, driving predictive market trends and strategic decision-making. However, despite the rising discussion and accessibility of AI tools, understanding its impact on international business remains limited. This article explores AI's potential in international business strategies, practices, and activities. To address this aim, we reviewed 37 articles in the existing literature to critically explore AI within the context of international business. More specifically, we explored how AI can be applied to innovation approaches in international business, international market selection, entry modes, foreign exchange, international human resource management, international supply chains, managing across cultures, and more topics. AI has necessitated changes in workplace configurations and the need for organizational and employee adjustments in response to this technology. As a result of the foregoing issues on AI integration within international business, our analysis provided an exploratory discussion around its use, challenges, managerial implications, and suggested areas requiring future studies.

Entrepreneurial ventures face various problems contributing to the regional resilience of their districts. Among such firms are digital platform-based businesses that could have exponential impacts—indeed, if they succeed in overcoming the barriers. Thus, this study aims to identify the major technological barriers to creating regional resilience in Iran's innovation districts. This study uses the analytical hierarchy process method and an unsupervised machine learning algorithm, as well as the Delphi technique. Online panel surveys are conducted to collect data from experts in the field of online social platforms. The findings show that digital literacy barriers and cultural barriers are the criteria with the uppermost and lowermost importance. Performance sensitivity analysis illustrates that considering the C1 and C4 criteria, the Digikala platform is more resistant to technological barriers compared to other platforms. Furthermore, based on C2 and C3 criteria, it can be stated that the Snapp platform reveals better resistance than the other platforms. The importance-performance matrix also shows that all platforms need more attention in terms of performance. Besides, the results of the BIRCH analysis show that the present model's accuracy is 88%. Meanwhile, outputs show that experts are divided into four groups or four different thoughts.

The issue of artificial intelligence (AI) ethics is a prominent research subject. While there is a compendious literature that explores this area, surprisingly little of it makes explicit reference to the ethic-theoretical foundations upon which it is built. To address this matter, this study makes an examination of the AI ethics literature to identify its ethic-theoretical foundations. The study identifies the lack of AI ethics literature that draws upon seminal ethics works and the ensuing disconnectedness among the publications on this subject. It also uncovers numerous non-Western ethic-theoretical positions that can be adopted and may afford new insight into AI ethics research and practice. Employing these alternative lenses may obviate the tendency for Western worldviews to dominate the academic literature. The study provides some guidance for future AI ethics research which should endeavor to clearly articulate its chosen ethic-theoretical position, and for practice which could benefit from understanding and articulating the principles upon which AI systems are founded. It also provides some observations of, and guidance for, the utilization of Litmaps software in the conduct of Literature reviews.