Journal of Business Research最新文献

Cognitive analytics employs and analyses complex and heterogeneous data sources generating deeper insights that mimic the natural intelligence of the human brain. Cognitive analytics-enabled Artificial Intelligence (AI) that promotes Business Model Innovation (BMI) for the efficiency of the healthcare system is a nascent and undertheorized domain. Within the healthcare management systems, stakeholders’ engagement with AI, particularly with responsible AI, to optimize BMI and improve business performance is bounded by several caveats. Using the Technology Acceptance Model (TAM) and Social Network Theory (SNT) as our conceptual foci, we empirically examine through the Multilayer Perceptron Neural Network the extent to which responsible AI leads to Business Model Innovation (BMI) through the stakeholders’ engagement. Our contributions are novel which demonstrate that cognitive analytics-enabled responsible AI is central to innovation, and healthcare stakeholders exhibit a robust propensity to reorientate and innovate their existing BMI to achieve improved business performance. It has significant implications for innovation, AI and cognitive analytics literature.

In recent years, the international entrepreneurial behaviors of African firms have garnered considerable attention within the global business context. As the world becomes increasingly interconnected, African firms are stepping onto the international stage with growing confidence and ambition. This trend is fueled by a combination of factors, including advancements in technology and communication, as well as evolving trade agreements. However, along with the opportunities presented by international expansion, African firms also face a myriad of challenges. Despite these challenges, African firms are demonstrating remarkable resilience and innovation in their pursuit of international entrepreneurship. In this Special Issue Editorial, we showcase and capture the emerging and diverse range of scholarly contributions to the international entrepreneurship field in Africa. The papers in this collection provide various ways to enhance the conversation on the constraints on development and the different dynamics of international entrepreneurship. We also shed light on the inherent challenges in attempting to unlock the full potential of African firms and national economies in the 21st century.

Based on the social cognitive theory of morality and considering employees’ perspectives, we build and test a mediated moderation model in which perceived greenwashing interacts with perceived inter-organizational competitive pressure to affect ethical voice through moral disengagement. We conducted a multisource time-lagged organizational field survey (Study 1) and two vignette-based experiments (Study 2 and 3) to test our hypotheses. Results show that perceived greenwashing negatively (positively) affects ethical voice through moral disengagement under high (low) perceptions of competitive pressure. Studies have indicated that when employees feel that their organizations are under greater competitive pressure, stress may cause them to suppress their objections to greenwashing through moral disengagement. These findings have implications for the social cognitive theory of morality and managers who aim to encourage ethical voice and discourage moral disengagement.

Marketers take major risks to display confidence, based on the assumption that “more is always better”, yet the extant literature lacks adequate support for this notion. The present research proposes a novel conceptualization of the relationship between the confidence expressed in crowdfunding project descriptions and success, which is predicted to take an inverted U-shape. In this regard, the research draws upon the compensation effect identified between perceived competence and warmth, such that expressing high levels of confidence could decrease perceived warmth. As a result, there will be an optimal (moderate) level of confidence that determines successful fundraising outcomes – as measured by the number of contributors and amounts contributed. This prediction is tested by analyzing more than 71,000 Kickstarter projects (Study 1) and 1.3 million Kiva projects (Study 2, preregistered). A follow-up experiment (Study 3, preregistered) then establishes causality, demonstrating the role of perceived warmth and competence as the underlying mechanism.

Technological advancements within social commerce platforms, such as “action buttons” on Facebook or Instagram (e.g., the “Shop” button), have simplified how customers interact with brands, leading to greater impulse buying opportunities. Using a mixed methodology in two studies involving Instagram users in the United States (US), this research conceptualizes (Study 1) and operationalizes (Study 2) a higher-order model of consumer motivation for social commerce engagement as a hierarchical construct that drives the urge to impulse buy. Further, consumer–brand identification and perceived social risk of commenting are included in the proposed framework. Results show consumer motives of brand intimacy, shopping planning, entertainment, channel advantage, remuneration, and escapism influence impulse buying. Findings further identify consumer–brand identification as a mediating mechanism between consumer motivation and the urge for impulse buying, which also neutralizes the negative moderating effect of the perceived social risk of commenting on social platforms. This study contributes to motivation and impulse buying theory as well as social commerce practice. The findings inform content marketing activities seeking to heighten customers’ urge for impulse buying and mitigate contingency variables. This study also acknowledges related ethical considerations, including the need for brands to understand the urge to impulse buying behaviors to ensure responsible marketing practices that align with principles of consumer well-being.

Innovation is considered an important ingredient for new venture survival. However, our understanding of the role of individual entrepreneurs in facilitating its occurrence is relatively limited. While it is often claimed that curiosity is important in entrepreneurship, there is limited empirical evidence to support this assertion. This study aims to address this gap by examining the relationship between founders’ entrepreneurial curiosity and firm innovation. Further, we examine the mediating effect of information search and the moderating effect of environmental dynamism on this relationship. By analyzing three waves of data collected from 249 entrepreneurs, we find that entrepreneurs’ curiosity has a positive association with (1) process innovation and (2) product innovation. Additionally, our findings show that the effect of curiosity on process innovation is mediated by information search effort, and that information search persistence mediates the effect of curiosity on product innovation. We also find that these mediating relationships are moderated by environmental dynamism.

Existing research provides substantial evidence of the positive effects of leader humour on followers and their teams. However, less attention has been given to understanding how such behaviour benefits leaders. This study, grounded in the Conservation of Resources theory, introduces and tests a model that clarifies the mechanisms and conditions under which leader humour benefits these individuals. The study findings, derived from data collected from 137 supervisors in an experience sampling study and 134 supervisors in a three-wave field study, consistently show a positive correlation between leader humour and leader psychological capital, which subsequently enhances leader work engagement. Moreover, the magnitude of this positive effect depends on the leader’s political skill level, with those possessing high political skill reaping greater benefits from leader humour. The results suggest that leader humour is an effective method for supervisors to gain psychological resources.

Corporate risk-taking is a crucial factor that influences firm growth, performance, and survival. Based on the socioemotional wealth and agency theories, we investigate the effect of family involvement in management on risk-taking by considering the moderating role of kinship composition. Using data on Chinese listed family firms, we find that increased family involvement in management significantly reduces family firms’ risk-taking level. The richness of family managers’ kinship weakens the negative effect of family involvement in management on the risk-taking level. Our study enriches the socioemotional wealth and agency theories, by introducing insights of the differential order mode perspective, and demonstrates the significance of kinship ties of family managers on family firms’ risk-taking strategies.

This study explored the deconsolidation of Venezuelan subsidiaries by 15 U.S. Multinational Corporations (MNCs) during the severe economic and political crisis of 2015. We used a probit model and decision tree classifier to examine how foreign exchange losses and the industry sector influenced this decision. We found that consumer goods MNCs and those with large losses were more likely to be deconsolidated. Deconsolidation may be a common response in other troubled emerging markets, especially in a deglobalized world. We contend that deconsolidation improves stakeholder quality and the transparency of financial reporting. In addition, an MNC’s subsidiary deconsolidation is the middle ground between doing nothing and divesting. This study fills a gap in the academic literature on deconsolidation that has been largely overlooked in the past. This raises new questions and challenges for scholars seeking to promote financial reporting transparency in a changing global environment.

Recent years have seen a surge in research on artificial intelligence (AI)-driven business model innovation (BMI), reflecting its profound impact across industries. However, the field’s current state remains fragmented due to varied conceptual lenses and units of analysis. Existing literature predominantly emphasizes the technological aspects of AI implementation in business models (BMs), treating BMI as a byproduct. Additionally, there is a lack of coherent understanding regarding the scope of BMI propelled by AI. To address these gaps, our study systematically reviews 180 articles, offering two key contributions: (1) a structured analysis of evolving research dimensions in AI-driven BMI, differentiating between static and dynamic views of BMI, and (2) a framework presenting distinct research perspectives on AI-driven BMI, each addressing specific managerial focuses. This synthesis facilitates a comprehensive understanding of the field, enabling the identification of research gaps and proposing future avenues for advancing knowledge on the management of AI-driven BMI.