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The present study examines head of state gender and national collectivism to explain how some leaders have been able to manage a pandemic better than others.

We measure pandemic deaths per million using objective numbers for each country. Country collectivism is measured using the GLOBE study. Qualitative analyses of world leader speeches are used to examine how health-focused leaders’ language is. Media attention with sentiment analysis about each leader’s handling of the pandemic is also used to show how others reacted to leaders.

Countries with female leaders showed fewer pandemic deaths than those led by male leaders. The interaction between leader gender and country collectivism predicted death. Media sentiment was more favorable for women leaders than men leaders.

During times of crises, women’s more careful tendencies keep their constituents safer than their male counterparts. Country collectivism also aids male leaders in keeping constituents safe.

The present study helps unpack when women leaders thrive and outperform their male counterparts. This furthers United Nations Sustainable Development Goal 5: gender equality.

The study examines leader gender and national collectivism to predict pandemic deaths.

Due to the rapid development of artificial intelligence (AI) technology, increasing the use of AI in healthcare is critical, but few studies have explored the extent to which physicians cooperate with AI in their work to achieve productive and innovative performance, which is a key issue in operations management (OM). We conducted empirical research to answer this question.

We developed a conceptual model based on the ambidextrous perspective. To test our model, we collected data from 200 Chinese hospitals. One senior and one junior physician from each hospital participated in this research so that we could get a more comprehensive view. Based on the sample of 400 participants and the conceptual model, we examined whether different types of AI use have distinct impacts on physicians’ productivity and innovation by conducting hierarchical regression and post hoc tests. We also introduced team psychological safety climate (TPSC) and AI technology uncertainty (AITU) as moderators to investigate this topic in further detail.

We found that augmentation AI use is positively related to overall productivity and innovative job performance, while automation AI use is negatively related to these two outcomes. Furthermore, we focused on the impacts of the ambidextrous use of AI on these two outcomes. The results highlight the positive impacts of complementary use on both outcomes and the negative impact of balance on innovative job performance. TPSC enhances the positive impacts of complementary use on productivity, whereas AITU inhibits the negative impacts of automation and balanced use on innovative job performance.

In the age of AI, organizations face greater trade-offs between performance and technology management. This study contributes to the OM literature from the perspectives of operational performance and technology management in three ways. First, it distinguishes among different AI implementations and their diverse impacts on productivity and innovative performance. Second, it identifies the different conditions under which automation AI use and augmentation are superior. Third, it extends the ambidextrous perspective by becoming an early adopter of this approach to explore the implications of different types of AI use in light of contingency factors.

The purpose of this study is to revisit the conventional wisdom about a key contribution [i.e. strengths, weaknesses, opportunities, threats (SWOT) analysis] in the field of strategic management. The societal context and the role of academics, consultants and executives is taken into account in the emergence of SWOT analysis during the 1960–1980 period as a pivotal development within the broader context of the satisfactory, opportunities, faults, threats (SOFT) approach. The authors report on both the content and the approach, so that other scholars seeking to invigorate indigenous theories and/or underreported strategy practices will thrive.

Applying a historiographic approach, the authors introduce an evidence-based methodology for interpreting historical sources. This methodology incorporates source criticism, triangulation and hermeneutical interpretation, drawing upon insights from robust evidence through three iterative stages.

The underreporting of the SOFT approach/SWOT analysis can be attributed to several factors, including strategy tools being integrated into planning frameworks rather than being published as standalone materials; restricted circulation of crucial long-range planning service/theory and practice of planning reports due to copyright limitations; restricted access to the Stanford Research Institute Planning Library in California; and the enduring popularity of SOFT and SWOT variations, driven in part by their memorable acronyms.

In the spirit of a renaissance in strategic planning research, the authors unveil novel theoretical and social connections in the emergence of SWOT analysis by combining evidence from both theory and practice and delving into previously unexplored areas.

Caution is advised for scholars who examine the discrete time frame of 1960–1980 through mere bibliometric techniques. This study underscores the risks associated with gathering incomplete and/or inaccurate data, emphasizing the importance of triangulating evidence beyond scholarly databases. The paradigm shift of strategic management research due to the advent of large language models poses new challenges and the risk of conserving and perpetuating academic urban legends, myths and lies if training data is not adequately curated.

The current business environment is characterized by high levels of uncertainty that affect the global economic system and have the greatest impact on small and medium-sized enterprises (SMEs). With an elevated degree of perceived uncertainty, Chief executive officers' (CEOs) of SMEs find themselves in a situation where the old approaches to decision-making are irrelevant and the time to create new ones is limited. The purpose of this study is to examine whether appealing to personal values helps CEOs cope with a high level of perceived uncertainty and make decisions about the further development of the firm by undertaking business model innovations (BMI).

This study follows a multiple case study research design drawing on data collected from 10 Russian SMEs.

The authors show that CEOs’ communion values lead to innovations in the revenue model and value architecture dimensions of the business model. CEOs who are inclined to agentic values introduce innovations in the revenue model and value offering dimensions. Those executives who balance between the two types of values tend to also balance between different types of innovations in the elements of the business model.

The results indicate that personal values of CEOs play an important role in managerial processes and the strategic choice of a BMI type. Moreover, personal temporal focus orientation serves as a translation mechanism in the relationship between CEO values and BMI in SME settings.