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This case is written on the basis of available secondary data sources including news articles, book chapters, video (YouTube) interviews, research papers and industry reports.

The case study examines Taylor Swift’s professional journey from her debut in the mid-2000s to the present, highlighting her notable accomplishments as a singer-songwriter and entrepreneur. Swift’s success in music, evident through chart-topping albums, sold-out tours and strategic partnerships, positions her as a significant figure in the industry. However, her primary challenge involves maintaining relevance and staying ahead in a continually evolving environment. To sustain her leadership role, Swift must consistently innovate across music, public image and promotional approaches. This entails adapting to changing trends, using digital platforms for increased audience engagement and exploring themes such as audience connection, brand evolution, effective marketing and the ongoing pursuit of competitiveness and influence amid dynamic market conditions. This case delves into Taylor Swift’s evolution as a multifaceted entrepreneur, exploring her strategies to merge personal values with commercial success while navigating public scrutiny and market demands. It highlights her strategic use of social media, engagement with controversies and carefully crafted personal brand to maintain her global influence.

This case may be taught in advanced undergraduate level courses or graduate level courses such as MBA. This case is appropriate for students studying entrepreneurship, marketing and business strategy.

The objective is to ascertain and amalgamate the extant data about farmers' plans for climate change adaptation and mitigation. The chapter provides comprehensive insights to help farmers and policymakers make informed and relevant decisions.

We conducted five-step scoping review procedure with key databases: Scopus, ProQuest, Science Direct, Springer Link and PLOS ONE. The keywords including climate change AND Agriculture AND production AND rice AND farmer AND farming AND mitigation AND adaptation AND resilience AND Indonesia focusing on publications from 2013 to 2023. We employed PRISMA-Scr protocol and data were thematically extracted using NVivo 12 Plus tool.

The search yielded 878 records, of which 116 were screened in full text, and 37 were included in the review. Key findings indicate that adaptation strategies and management planning involving social capital and social networks are essential for anticipating and responding to climate change-induced disasters. The collaboration between farmers, farmer groups, government and NGOs is pivotal for climate change mitigation.

The research implications highlight the need for targeted policy interventions and capacity-building initiatives to enhance farmers' knowledge and skills in climate change adaptation, fostering collaboration among various stakeholders.

The originality and value of the paper lie in the comprehensive review of the adaptive measures and strategies employed by farmers in Indonesia to mitigate the impacts of climate change on agriculture. This contribution is significant as it not only addresses local challenges but also connects them to broader global discussions on food security and climate adaptation.

This paper aims to elucidate the relationship between entrepreneurial orientation, reverse innovation and international performance of emerging economy multinational enterprises (EMNEs).

The authors analyze archival data of Chinese limited companies between 2010 and 2016, including 11,230 firm-year observations about 1708 firms. In order to test the study’s mediation hypotheses, the authors apply an ordinary least square (OLS) regression.

The authors find evidence that the entrepreneurial orientation of EMNEs has a positive effect on reverse innovations. Furthermore, the authors find positive effects of reverse innovation on the international performance of EMNEs. This pattern of results suggests that the relationship between entrepreneurial orientation and international performance is partially mediated by reverse innovation.

The study’s findings help managers in EMNEs to promote reverse innovation by building and using their entrepreneurial orientation. It also helps them to set out and gauge the chances of success of their internationalization strategies. The findings also hold relevance for firms in developed economies as well, as they may understand which emerging economy competitors stand to threaten their positions.

The strategic role of reverse innovations – i.e. clean slate, super value and technologically advanced products originating from emerging markets – has generated considerable research attention. It is clear that reverse innovations impact the international performance of EMNEs. Yet how entrepreneurial orientation influences international performance is still underexplored. Thus, the current study clarifies the mechanism by examining and testing the mediating role of reverse innovation among the entrepreneurial orientation–international performance link.

Companies are increasingly appointing a Chief Sustainability Officer (CSO) to anchor the need to highlight climate change at the senior management level. This study aims to examine how CSO power and sustainability-based compensation influence climate reporting and carbon performance.

Using one of the largest data sets to date, consisting of 18,834 company years through the author’s observations, spanning an 11-year period (2011–2021) in 33 countries. This paper used quantitative methods – specifically, ordinal logistic regression estimation. This paper measures the level of climate change disclosure based on the carbon disclosure leadership methodology. Carbon performance is based on the intensity of carbon emissions (Scope 1, Scope 2), which is a quantitative and relatively more objective measure.

The results suggest that climate change disclosure continued to increase and the carbon emissions intensity of the companies in this study gradually decreased over the sample period. This paper finds that the presence of the CSO within the top management team has a positive and significant influence on the level of information on climate change of the companies in the sample. This finding confirms the idea that the managerial capacity of CSOs motivates the disclosure of climate change. The empirical results confirm that there are differences in the role that the CSO and sustainability-based compensation play in influencing the quality of climate information disclosure in developed and developing countries.

The recourse on a mixed theoretical framework, which highlights upper echelons theory, argues the understanding of the role of CSOs in explaining the relationship between climate change disclosure–carbon performance relationship. The novelty of the study lies in the approaches adopted to describe the quality of climate change disclosure. To control for endogeneity, this paper uses a difference-in-difference analysis by adding a firm to the Morgan Stanley Capital International index as an exogenous shock.

While the fields of artificial intelligence (AI) and avatars are growing at a very fast pace, studies are still scarce. This study aims to fill the gap in the literature relating to the implications of highly realistic avatars as well as the consequences of AI-led co-creation on hospitality services in the Metaverse.

The authors adopted an exploratory qualitative methodology to study the role of AI avatars in the Metaverse within the hospitality context. The study involved interviews with both elite figures and consumers as primary data and also incorporated secondary data sourced from comments on a YouTube video related to avatars.

Based on data triangulation, the extracted themes dealt with four key areas: (1) avatars’ relational encounters in hospitality, (2) avatars’ realism, (3) self-representation and self-perception skewness and (4) AI co-creation. The findings show that while avatars’ realism would increase the authenticity of virtual social connections, engagement and monetization, the issue of a self-misrepresentation will diminish the effect of virtual encounters. That avatars will be AI led and will digitally cocreate reviews and recommendations further accentuates the findings.

This research advances the field by addressing the literature gap on AI-led avatar realism and co-creation in hospitality services within the Metaverse. It explores the nuanced ways that highly realistic avatars can enhance engagement and self-representation while simultaneously posing challenges related to authenticity and trust. The study provides a foundation for further exploration of AI’s transformative potential in virtual hospitality contexts.

This study investigated the factors that influence customer satisfaction with AI-driven services by focusing on chatbot agents. The conceptual model included psychological and social factors, such as trust, perceived social presence, competence perception, social-oriented communication style, warmth perception, subjective norms and attachment anxiety.

A quantitative methodology was employed utilising a survey conducted among 525 consumers who interacted with chatbot services. The data were analysed using structural equation modelling (Smart-PLS 4.0) to test the proposed hypotheses.

The study revealed that social-oriented communication, perceptions of competence and warmth, trust and subjective norms significantly enhanced customer satisfaction with chatbots. Trust was critical in fostering satisfaction, whereas perceived social presence and attachment anxiety had minimal impact. The findings suggest that despite the emphasis on social presence, its influence on satisfaction may depend on contextual factors that were not captured in this study.

This study extended the Technology Acceptance Model and Stereotype Content Model by integrating factors such as perceived social presence, trust, competence perception, social-oriented communication style, warmth perception, subjective norm and attachment anxiety. Challenging conventional assumptions on the role of social presence and attachment anxiety, the study provides new insights into the complex dynamics of human–chatbot interactions, offering practical implications for improving chatbot design and enhancing user experience that emphasise the importance of trust, competence and social-oriented communication in customer satisfaction.

According to reputation theory, enterprises that adopt a proactive approach to corporate social responsibility (CSR) are known to actively invest in corporate innovation. However, this theory does not fully explain the mechanisms through which CSR influences corporate innovation, nor does it address how to effectively amplify CSR’s positive impact on innovation. To overcome these limitations, this research aims to incorporate the theories of innovation investment and dynamic capabilities. Innovation investment theory elucidates how CSR can attract additional financing, which can be directed toward innovation activities. Meanwhile, dynamic capabilities theory highlights how digital transformation in enterprises can enhance the positive effects of CSR on innovation, providing insights from both theoretical and empirical perspectives.

To demonstrate the mediating role of debt financing costs and the moderating role of enterprise digital transformation in the mechanism of CSR on corporate innovation, this research conducts fixes effects models by collecting 27,912 data points from 3,775A-share China-listed enterprises, ranging in period from 2010 to 2020. Empirical research once again proves that the theories of innovation investment and dynamic capabilities effectively compensates for the shortcomings of reputation theory. These three theories effectively explain that what is the effect of CSR on enterprise innovation? How does CSR influence corporate innovation? And through what mechanisms can CSR better enhance corporate innovation?

According to innovation investment theory, the cost of debt financing mediates the positive relationship between CSR and corporate innovation. This occurs because enterprises with robust CSR practices are more likely to secure external funding, thereby reducing their costs associated with external debt financing. Lower debt financing costs provide a stable source of funds for corporate innovation. Additionally, dynamic capability theory suggests that enterprise digital transformation moderates the positive relationship between CSR and corporate innovation. Building on these insights, it is recommended that enterprises, especially state-owned ones, should prioritize technological innovation to enhance their competitiveness.

This research aims to address and narrow the knowledge gap regarding the relation between CSR and corporate innovation through theoretical and empirical analyses. With respect to the influence mechanism, this research solely based on innovation investment theory and dynamic capabilities theory, focuses on the influence mechanism of CSR on corporate innovation, with the debt financing costs as the mediating variable and digital transformation as the moderating variable. However, the influence mechanism turns out to be complicated and there is room for further exploring numerous mechanisms. For example, future research can focus on identifying additional channels through which CSR exerts an influence on corporate innovation based on TOE theoretical framework.

This research presents several strategies to enhance corporate innovation based on its conclusions: First, enterprises should promptly publish social responsibility reports to build a positive industry reputation. Moreover, by actively participating in CSR activities, they can strengthen their networks and enhance their industry standing. Second, the significant mediating role of debt financing costs should not be ignored. Enterprises are encouraged to seek diverse financing channels to reduce financial pressures, address financing challenges and facilitate the coordinated development of CSR and innovation. Third, enterprise digital transformation significantly affects the impact of CSR on innovation. Therefore, enterprises should advance digital transformation initiatives that incorporate technological innovation, organizational improvements and integration with supply chain partners. Finally, it has been noted that state-owned enterprises are often less responsive to technological innovation than their non-state counterparts. SOEs could redefine the scope and priorities of their social responsibilities to prevent excessive resource consumption that could hinder innovation. For instance, integrating some of their social responsibilities with innovation projects could promote both social and technological innovation objectives. Additionally, the government could ensure fair resource distribution among different types of enterprises and provide an equitable financing platform to mitigate financial challenges for both state-owned and non-state-owned enterprises.

Reputation theory does not fully elucidate the mechanisms by which CSR influences corporate innovation or how to effectively enhance CSR’s positive impact on innovation. This research integrates the theories of innovation investment and dynamic capabilities to address these gaps. According to innovation investment theory, debt financing costs mediate the positive relationship between CSR and corporate innovation. Meanwhile, dynamic capabilities theory posits that enterprise digital transformation moderates this positive relationship, further strengthening the impact of CSR on innovation.

Government incentives are critical for successful indigenous innovation commercialisation, yet there are concerns about the efficacy of these incentives. Therefore, this study examines the effectiveness of government incentives on successful indigenous innovation commercialisation in the context of low-income economies by testing the effects of demand and supply-side incentives on firm performance in the small-scale industry in Ghana.

The theoretical framework for this study is built on the below-the-radar theory of innovation (Kaplinsky et al., 2009). Using a sample of 557 firms engaged in commercialising various indigenous innovations in the small-scale industry in Ghana, PLS-SEM was deployed to assess 11 hypothesised paths based on a validated questionnaire.

The model results, at a 5% significance level, indicate that supply-side incentives are statistically insignificant on sales and profitability but have significant positive effects on employment. The direct and moderating influence of supply-side incentives and market factors on overall firm performance is also insignificant, while demand-side incentives to buyers have significant positive effects on all the performance metrics and positively moderate the effects of market factors.

The research focused on commercialising indigenous innovation in the context of low-income economies. Few studies, if any, have separately explored the effect of demand and supply-side government incentives on indigenous innovation in the context of low-income economies. The findings suggest that innovation support should focus more on the demand side of the innovation value chain.

The aim of the study is to understand employees’ feelings towards artificial intelligence (AI) in relation to their job performance and productivity, as well as their opinion of the risk of being displaced by AI.

The study employed a self-administered questionnaire targeting hotel employees. The results were analysed through exploratory factor analysis to validate constructs and test hypotheses.

In particular, the results of the study indicate employees’ insecurity of job losses when it comes to incorporating AI applications into operational processes. However, it is crucial for employees to understand that embracing AI can boost job productivity, thereby enhancing employee and guest satisfaction.

This study is original because it examines a new topic, concerning AI in hotels and evaluates how hotel employees perceive it in relation to their job security.

This study aims to explore and unfold the problems in designing and delivering employer-initiated financial education programs (FEPs) from the perspective of working women who attend such programs.

The researchers conducted in-depth interviews and utilized an interpretive qualitative approach to explore the expectations and experiences of women employees regarding such programs.

The results of this study demonstrate that employer-led FEPs may not benefit women employees due to specific misaligned actions of both employers and employees at every stage, which make the programs ineffective.

While this study encompasses women from varied age groups and marital statuses, the researchers acknowledge that the sample size is limited and represents a specific socioeconomic group.

The findings of this study have policy and practical implications for addressing perceived issues in FEPs initiated by employers for women employees.

The novel contributions of this study include suggesting a process model for building FEPs, highlighting the existing problems at each step in designing and delivering an FEP and expanding the application of Self-Determination Theory in FEPs.