Thunderbird International Business Review最新文献

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.

The collaboration between artificial intelligence (AI) and humans is reshaping international business (IB) management dynamics, aiming to achieve global sustainable development. Recent IB literature indicates that managing AI brings benefits such as better resource reconfiguration, reduced transaction costs, and global sustainable development. However, existing IB literature provides only meager knowledge about the characteristics of AI and how these characteristics can be employed for international expansion at the intersection of sustainable development. In response, our aim is to construct these characteristics by employing directed qualitative content analysis of empirical AI research. Based on our three constructed characteristics of AI, we contribute to current IB literature by providing a framework to balance economic and social goals and utilizing AI for global sustainable development. Further, we provide future IB research themes to guide IB and AI research toward achieving a sustainable production and consumption agenda.

The research on blockchain use cases is becoming critical across all disciplines as this technology is expected to transform business processes and their individual operations. However, there is a scarcity of empirical research that focuses on the implication of blockchain applications in retailing and retailers in developing countries. Thus, there are three main aims of our research; first, we explore both the drivers and the barriers for the retailers in developing countries in adopting blockchain technology. Second, we attempt to explore the impacts on the retailers of blockchain technology adoption on their retail brand communication and customer experience. Finally, we examine whether the application of blockchain technology by retailers in developing countries can help to advance the retail brand-customer relationship. The data in this study are collected from 21 semistructured interviews with senior managers, and 3 focus groups with 21 customers from 4 case retailers. Our research is among the first attempts to explore the blockchain technology adoption empirically, and its implications by retailers in developing countries.