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Using the lens of crisis innovation and strategic alignment, this study explores how a segment of the restaurant sector that may be less agile than others—Michelin-starred restaurants—perceives and aligns with the challenges brought about by the COVID-19-pandemic.

The study collected data from 19 Michelin-starred restaurants in Spain using a qualitative interview method. The data were analyzed qualitatively and organized thematically.

Four key categories of strategic challenges were identified: human resources, uncertainty, control and economic challenges. In response, chefs displayed both behavioral and organizational strategies. Those organizational strategies were new human resource management, reorganization, product and service innovation and marketing. While the new human resource management actions adopted to align with the human resource challenges identified, a misalignment remains between some of the other strategic actions, such as product and service innovation, marketing and economic and uncertainty challenges.

The findings offer new insight into Michelin-starred restaurant chefs' challenges and (mis)alignment strategies, an area that has been understudied in the current literature on innovative responses in the hospitality sector post-pandemic.

In the last decade, the concept of Islamic attributes of destination (IAD) has emerged due to Muslim tourists’ need to visit a destination that complies with Sharia law. Since then, the IAD concept has been popular to increase the destination’s attractiveness and travel satisfaction for Muslim tourists. This concept evolved from evaluating the Muslim tourists’ perception of IAD to non-Muslim tourists and from assessing the Islamic attributes in Muslim-majority destinations to non-Muslim majority destinations. Furthermore, the literature showed several measurement scales to assess tourists’ satisfaction with IAD, and scholars were varied in the methods of analysis used to assess tourists’ satisfaction with IAD. The purpose of this study is to perform a systematic mapping study on satisfaction with IAD by answering five research questions.

This study used the preferred reporting items for systematic reviews and meta-analyses framework to guide the search process and search for relevant studies between 2012 and 2022 from two scientific databases, Scopus and Web of Science.

The search revealed 387 studies. In total, 31 articles met the eligibility criteria. This study indicates the journal considered research studies on tourists’ satisfaction with IAD the most, the method of analysis used in the previous studies, the Islamic destination attributes considered in the previous studies, the research distribution by counties, the research trend and the future direction.

To the best of the authors’ knowledge, this is the first systematic mapping study that delivers a summary of empirical research studies on tourists’ satisfaction with IAD.

Social media platforms are highly visible platforms, so politicians try to maximize their benefits from their use, especially during election campaigns. On the other side, people express their views and sentiments toward politicians and political issues on social media, thus enabling them to observe their online political behavior. Therefore, this study aims to investigate user reactions on social media during the 2016 US presidential campaign to decide which candidate invoked stronger emotions on social media.

For testing the proposed hypotheses regarding emotional reactions to social media content during the 2016 presidential campaign, regression analysis was used to analyze a data set that consists of Trump’s 996 posts and Clinton’s 1,253 posts on Facebook. The proposed regression models are based on viral (likes, shares, comments) and emotional Facebook reactions (Angry, Haha, Sad, Surprise, Wow) as well as Russell’s valence, arousal, dominance (VAD) circumplex model for valence, arousal and dominance.

The results of regression analysis indicate how Facebook users felt about both presidential candidates. For Clinton’s page, both positive and negative content are equally liked, while Trump’s followers prefer funny and positive emotions. For both candidates, positive and negative content influences the number of comments. Trump’s followers mostly share positive content and the content that makes them angry, while Clinton’s followers share any content that does not make them angry. Based on VAD analysis, less dominant content, with high arousal and more positive emotions, is more liked on Trump’s page, where valence is a significant predictor for commenting and sharing. More positive content is more liked on Clinton’s page, where both positive and negative emotions with low arousal are correlated to commenting and sharing of posts.

Building on an empirical data set from Facebook, this study shows how differently the presidential candidates communicated on social media during the 2016 election campaign. According to the findings, Trump used a hard campaign strategy, while Clinton used a soft strategy.

The aim of this paper is to better understand European consumers' behaviour in relation to Short Food Supply Chains (SFSCs), so as to provide insights to support their development as part of a sustainable food system. Specifically, it aims to analyse consumer purchase patterns, motivations and perceived barriers and to identify patterns of behaviour amongst different consumer groups.

An online consumer survey was conducted in 12 European countries (n = 2,419). Quantitative data analysis, including principal component analysis (PCA) and cluster analysis, was undertaken using SPSS.

Four consumer clusters are named according to their behavioural stage in terms of SFSC engagement: Unaware Unengaged, Aware Unengaged, Motivationally Engaged and Executively Engaged. Unaware Unengaged and Aware Unengaged are in the non-engagement phase of behaviour. Motivationally Engaged are motivationally activated to engage in the behaviour but fail to do so consistently. Executively Engaged is the fully engaged cluster, being motivated to act and purchasing local food on a frequent basis. The results show an interesting interplay between motivations and barriers, i.e. higher scores for motivations and lower scores for barriers do not necessarily translate into higher purchase frequency.

The research gleans insights into the contextual factors that may inhibit SFSC purchases in different consumer segments. It offers practical implications for policymakers and others seeking to develop SFSCs as part of a sustainable food system.

This study aims to investigate the impact of stakeholders’ nonfinancial resources (NFRs) on companies’ profitability, filling a significant gap in the literature regarding the role of NFRs in value creation.

Data from 76 organizations from 2017 to 2019 were collected and analyzed. Four primary NFRs and their key value drivers were identified, representing core elements that support different dimensions of a company’s performance. Statistical tests examined the relationship between stakeholders’ NFRs and financial performance measures.

When analyzed collectively and individually, the results reveal a significant positive influence of stakeholders’ NFRs on a firm’s profitability. Higher importance assigned to NFRs correlates with a higher return on sales.

This study contributes to the literature by empirically bridging the gap between stakeholder theory and the resource-based view, addressing the intersection of these perspectives. It also provides novel insights into how stakeholders’ NFRs impact profitability, offering valuable implications for research and managerial practice. It suggests that managers should integrate nonfinancial measures of NFRs within their performance measurement system to manage better and sustain companies’ value-creation process.

The contemporary business environment steered by forces of globalization, digitization and automation can only be navigated by a resilient workforce. This requires inculcating self-leadership (SL) traits in individuals, which will allow them to exercise self-direction and self-motivation required to survive high-strain situations. The SL characteristics most significantly reflected by Musk are self-goal setting, authenticity and responsibility. Least evidence was found for positive self-talk and self-cueing. This study aims to add to the repertoire of leadership studies, furnishing important implications for academia and practice.

In this paper, the authors explore the dimensionality of SL through a systematic literature review. The authors also take the case of Elon Musk, one of the most resilient technopreneurs in the contemporary business world, and scrutinize his journey as a self-leader.

The SL characteristics most significantly reflected by Musk are self-goal setting, authenticity and responsibility. Least evidence was found for positive self-talk and self-cueing. This study adds to the repertoire of leadership studies, furnishing important implications for academia and practice.

To the best of the authors’ knowledge, this is the first paper to explore the controversial Elon Musk’s leadership style through the prism of SL.