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Shahzad Arfan Hassan Rohail Aremu Adejare Yusuff Hussain Arsalan Lodhi Rab Nawaz 《Quality and Quantity》2021,55(3):805-826
Quality & Quantity - In response to the emerging and ever solution to the COVID-19 outbreak. This study proposes a theoretical framework based on literature and model to determined E-learning... 相似文献
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Psychology & Marketing (P&M), an internationally reputed journal, publishes original, peer-reviewed, empirical research on the application of psychological theories and techniques to marketing. The aim of this essay is to provide a bibliometric overview of the leading trends in the special issues of P&M over its history (1984–2020). Using bibliometric techniques, we analyze the impact of the special issues via their most cited papers, most productive authors, affiliated institutions and countries, as well as the best guest editors who contributed to the selection of the most cited special issue articles. Using network analysis VOSviewer software, we also group the special issues into four clusters to identify common themes. Further, we develop graphical visualization of coauthorships, bibliographic coupling, and cocitations. Results show that the most productive contributors are from American institutions and that P&M remains well connected to other leading journals in the marketing and psychology discipline, such as the Journal of Marketing Research, the Journal of Personality and Social Psychology, the Journal of Consumer Research, the Journal of Marketing, and the Journal of Business Research. 相似文献
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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. 相似文献
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