Global Business and Organizational Excellence最新文献

The marketing environment has experienced significant advancements due to the transformative influence of technologies such as artificial intelligence, data analytics, decision sciences, and robotics. These innovations have entirely reshaped the fundamental marketing principles as we know them. This study uses bibliometric analysis to conduct a systematic literature review of research on Artificial Intelligence (AI) in marketing and provides future research directions. It also aims to identify the most influential and productive contributors and progression of research on AI in marketing. The bibliographic data of 317 documents on artificial intelligence in marketing research was extracted from the Scopus database. The bibliometric analysis is performed to comprehensively understand the most influential and productive articles, authors, sources, and the top contributing countries and institutions towards the discipline of AI in marketing research. The results and the publication trend show exponential growth yearly in AI in marketing research. Furthermore, it discovered four main thematic clusters: Data mining and deep learning in decision support systems, big data and generative AI in marketing, AI-enabled commerce, and chatbots and marketing Tech that represent the recent research being carried out under AI in marketing. The trending topics recognized are marketing algorithms for decision-making, AI-enabled marketing, the Internet of Things (IoT) and marketing, natural language processing and customer service, robotic services, and chatbots. This study also emphasizes potential future research areas, building upon the established thematic clusters.

While a substantial body of research demonstrated that talent management practices and organizational commitment are linked to turnover decisions, little is known about the mechanism unfolding this process. This research aims to unravel the relationship between various dimensions of talent management and organizational commitment and turnover intention. First, a moderated moderated-mediation is conceptualized, and relationships are studied by collecting data from 435 faculty members from higher educational institutions (HEIs) in southern India. Then, after checking the psychometric properties of the survey instrument by structural equation modeling (SEM), the data were analyzed using Hayes's PROCESS macros. The findings indicate that (i) talent recruitment strategies positively predict organizational commitment and talent engagement, (ii) talent engagement is positively related to organizational commitment, and (iii) talent engagement mediates the relationship between talent recruitment strategies and organizational commitment. Further, the results documented that talent acquisition (first moderator) and talent development (second moderator) influence the relationship between talent recruitment strategies and talent engagement. Additionally, the results support talent retention in strengthening the relationship between talent engagement and organizational commitment. The previously established negative relationship between organizational commitment and turnover intention has been fortified in this study. To the best of our knowledge, the three-way interaction between talent recruitment strategies, talent acquisition, and talent development is investigated for the first time, representing a pivotal contribution to the bourgeoning literature on talent management. The theoretical and practical implications are discussed.

To survive and thrive in highly competitive environments, micro-enterprises, like all businesses, need to adapt to changing market conditions. In today's digital age, digital transformation can help micro-enterprises improve their efficiency, customer experience, and decision-making to remain competitive and meet consumer demands. Therefore, this study seeks to establish a micro enterprise-specific digital transformation maturity model based on prior literature and interviews with 12 micro enterprise business owners. The resulting model has four dimensions: strategy, process, technology, and people. Each dimension consists of four maturity levels comprised of significant, specific characteristics. Five specialists from diverse fields reviewed and modified the proposed model. For model evaluation, we performed data analytics using the K-means clustering algorithm on online questionnaire data. The final maturity model fits well with the needs of the micro-enterprises under investigation and can be used as a guide by other micro and small businesses in developing countries.

An employee's negative emotions may have negative effects on organizational outcomes, especially in times of crisis events such as the COVID-19 pandemic. Our research aims to examine how workplace spirituality and creative adaptability reduce employees' negative emotions in the aviation industry in times of crisis. This study conducted a cross-sectional survey among participants from aviation companies and analyzed the data through partial least squares structural equation modeling (PLS-SEM). The results revealed that workplace spirituality was negatively associated with negative emotions among employees in the aviation industry. The finding further demonstrated the positive nexus between workplace spirituality and creative adaptability. Interestingly, in contrast to our expectations, creative adaptability was found to be positively linked to the negative emotions of employees.

While bibliometric analysis is inherently quantitative and objective, it necessitates interpretation, thereby introducing an element of subjectivity. This article proposes a sensemaking approach that transitions researchers from mere description to proactive interpretation of bibliometric results, transforming raw information into informed insights. We discuss the applicability of sensemaking in bibliometric analysis and offer practical guidelines for its integration into systematic literature reviews. These guidelines revolve around a three-stage sensemaking process—that is, scanning, sensing, and substantiating—each crucial to deriving meaningful interpretations. As such, this article serves as a valuable guide for researchers seeking to utilize bibliometric analysis as a potent analytical tool in their review studies.

The use of generic drugs reduces healthcare expenditures, especially for those of lower socio-economic status. This research employs a descriptive research design and utilizes a cross-sectional survey to investigate the behavioral intention of patients toward generic medicines, supported by the theory of planned behavior. A structured instrument was used to gather data from 410 respondents who were aware of and consuming generic medicines. A structural equation modeling (SEM) analysis was performed with the semopy library in Python programming. The results demonstrate that all the constructs, namely, attitude, subjective norm, and perceived behavioral control in relation to buying generic medicines, have a significant relationship with behavioral intention to purchase generic medicines. Among all three constructs, perceived behavioral control has the strongest link with behavioral intention. Furthermore, family monthly medical expenses moderate the relationship between all three constructs of planned behavior and behavioral intention. This study could help healthcare professionals and policymakers to understand consumer intention and design information and educational programs accordingly to increase the awareness and usage of generic medicines. The outcome indicates that consumers prefer to purchase generic medicines due to the similar active ingredients, dosage, side effects, and effectiveness, as well as the low cost compared to branded ones.

With growing internationalism, there is a shift in research patterns in developing countries, especially China and India, generating vital and contemporary research areas that are beginning to challenge the existing Western-dominated research literature in social sciences. Yet, many of the new ideas within conceptual papers by the social sciences are not empirically validated, let alone operationalized. This is where the group concept mapping method can play a role in bridging the gap between phenomenal conceptualization and having an empirically valid model that can then be operationalized. The group concept mapping process involves five steps: create statements, sort statements, run multidimensional scaling (MDS) of sorted units, run cluster analysis, and label the clusters. This approach allows for the collective thoughts of a pre-defined group to be collected and organized into a tangible output with academic rigor. This paper offers an overview of the group concept mapping methodology, discussing the processes of the method, how the method can be utilized fully within the business and broader social science context, and the strengths, weaknesses, and practical implications of group concept mapping.

Drawing from the Technology Acceptance Model (TAM) and Technology-Organization-Environment (TOE) framework, this study investigates the factors that influence the adoption of artificial intelligence (AI) among human resource (HR) professionals in the tourism organizations of Malaysia. Responses were collected from 389 HR employees working at tourism organizations. Based on a partial least squares-structural equation modeling (PLS-SEM) analysis, results revealed that perceived ease of use, perceived usefulness, technology competency, top management support, and competitive pressure have significantly positive impacts on AI adoption in the tourism industry in Malaysia. The study's contribution to the TAM and TOE models is the inclusion of market turbulence as a moderating factor, which has been found to be a significant moderator as it enhances the understanding of HR practitioners and others regarding the factors that are most influential in AI adoption among HR employees in the tourism industry. The model developed in this study highlights how market turbulence can foster the relationship between AI adoption and organizations. In addition to the managerial and theoretical implications, the study also discusses its limitations and outlines directions for future research.

Expatriate entrepreneurs are exposed to greater risk than ‘local’ entrepreneurs, particularly during exogenous crises. Their psychological characteristics can influence how they view such threats and may inform resultant coping strategies. Reflecting on pre-entrepreneurship experiences and envisioning life post-crisis allows identification of 'what worked' for entrepreneurs throughout their career journeys. This exploratory study investigated the career reflections and future planning of 12 purposively sampled for-profit expatriate entrepreneurs based in the United Arab Emirates, a country with a primarily expatriate workforce. Reflexive Thematic Analysis of semi-structured interview data revealed two overarching themes, “resilience” and “valuing relationships.” These were evident in participants’ career development narratives, demonstrating the centrality of these positive psychology constructs throughout their career journeys in impacting business outcomes and well-being. Despite facing significant challenges, participants were hopeful due to intrinsic (resilience) and extrinsic (relationship) factors, both of which may support psychological health and aid future career efforts. These findings are relevant to career counselors and entrepreneurship educators, who can promote the role of soft skills, including relationship-building, and positive psychological constructs as buffers against future challenges.

Some people have forgotten the recent COVID-19 pandemic, but for many, the memories are still vivid in terms of the effects of the health crisis on society. Globally, almost all parts of the world had significant changes made to their way of life due to the COVID-19 pandemic, which included social and economic effects. Many countries closed their international borders for a long period of time, which had a profound influence on the degree of internationalization occurring within these regions. Owing to the need for social distancing, there were rapid changes to digital business practices and the resulting increased usage of online communication platforms. The aim of this editorial is to highlight how global entrepreneurship research and practice in the post-COVID-19 world have changed in terms of research and practitioner practices. This is important as we seek to progress society through positive interaction in the business environment. Suggestions for future managerial and academic practices regarding global entrepreneurship are stated.