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The concept of “Thought Self‐Leadership” involves individual self‐influence through cognitive strategies that focus on self‐dialogue, mental imagery, beliefs and assumptions, and thought patterns. A plethora of studies from various fields including management, counseling psychology, sports psychology, education, and communication, address the effect of these Thought Self‐Leadership cognitive strategies on cognitions and behaviors. This research provides consistent support for the relationship between constructive self‐leadership of these cognitive processes and enhanced performance. The application of these cognitive strategies to the entrepreneurship domain, however, is sparse. We propose that the application of these principles to the entrepreneurial process offers the potential to enhance individual performance and mental states for both practicing and aspiring entrepreneurs. Propositions derived from the proposed framework are developed to serve as catalysts for empirically testing the applicability of Thought Self‐Leadership to the entrepreneurship context.

The purpose of this research is to account for the internationalization of restaurants. The conceptual framework of upper echelons theory is applied to identify the demographic determinants of internationalization among chief executive officers (CEOs).

Data from 30 restaurant firms for the period 1999-2013 were collected from a variety of sources, primarily Compustat and Execucomp, based on Standard Industrial Classification (SIC) code 5812, the annual 10-K and public information. A panel feasible generalized least squares model was used as the main instrument of analysis.

The findings indicate that the CEO gender and share ownership negatively affect the internationalization of restaurant companies, whereas size, the extent of franchising, the type of restaurant and stock options positively affect the degree of internationalization. Additionally, an inverted U-shaped relation exists between CEO tenure and the degree of internationalization.

The presented information may provide shareholders and boards of directors with valuable guidelines regarding the assignment of appropriate managers depending on the extent to which their companies are pursuing internationalization strategies.

Most studies in hospitality sectors have focused only on accounting-based measures to explain strategic decision-making, although proponents of upper echelons theory have argued that CEO attributes influence strategic decisions/changes. This study contributes to the literature on hospitality by identifying the effects of CEO characteristics on internationalization decisions.

This editorial is an introduction to the special issue on CSR communication related to the 4th CSR Communication Conference, held in Vienna (Austria) in September 2017. The purpose of this paper is to critically reflect on the state-of-the-art in academic research on CSR communication concepts, strategies and future scenarios.

The editorial critically evaluates existing academic research dealing with CSR communication in the digital age. More precisely, it analyses established theories and concepts of CSR communication in terms of their fit to meet future challenges.

It can be noted that CSR communication practice is heading for new shores. Economic pressure, legal and political requirements, reputation risks in a digital media ecology and a new civic-minded and well-being-oriented generation of employees require a reorientation of CSR communication from information to impact orientation. Thus, the authors complement the approach of communication about CSR with the concept of communicative responsibility as a normative framework for corporate communication in the future.

The analyzed literature as well as the papers of the CSR Communication Conference indicate that the authors are heading toward a future of impact- instead of information-oriented communication. Here, communicative responsibility comes in as a fourth dimension of corporate responsibility, offering a normative framework for strategic, impact-oriented sustainability communication, integrated reporting and internal CSR.

The purpose of this paper is to describe the entrepreneurial intention (EI) among Danish university students applying the theory of planned behaviour.

Using cross-sectional data from the Danish Global University Student Spirit Survey 2013 (n=1,027) the analysis is based on a joint correspondence analysis (JCA) investigating the relationships between the variables.

Results indicate that students prefer a career as employee showing a low EI. Both very high and very low EI are related to very high/low self-efficacy and perception of entrepreneurial climate and learning.

The study points to an improvement of entrepreneurship education through customised offers dependent on the student’s level of EI and entrepreneurial self-efficacy.

Moreover, this study has proven that the JCA is a useful method to analyse the relationship between EI and other related variables in an exploratory study.

Social media platforms provide a source of information about events. However, this information may not be credible, and the distance between an information source and the event may impact on that credibility. Therefore, the purpose of this paper is to address an understanding of the relationship between sources, physical distance from that event and the impact on credibility in social media.

In this paper, the authors focus on the impact of location on the distribution of content sources (informativeness and source) for different events, and identify the semantic features of the sources and the content of different credibility levels.

The study found that source location impacts on the number of sources across different events. Location also impacts on the proportion of semantic features in social media content.

This study illustrated the influence of location on credibility in social media. The study provided an overview of the relationship between content types including semantic features, the source and event locations. However, the authors will include the findings of this study to build the credibility model in the future research.

The results of this study provide a new understanding of reasons behind the overestimation problem in current credibility models when applied to different domains: such models need to be trained on data from the same place of event, as that can make the model more stable.

This study investigates several events – including crisis, politics and entertainment – with steady methodology. This gives new insights about the distribution of sources, credibility and other information types within and outside the country of an event. Also, this study used the power of location to find alternative approaches to assess credibility in social media.

The current work reviews all retailing articles published in four prominent retailing journals – Journal of Retailing, Journal of Retailing and Consumer Services, International Journal of Retail & Distribution Management, and International Review of Retail, Distribution and Consumer Research – in the 2009-2015 period, picking up where Runyan and Hyun (2009) left off. The purpose of this paper is to identify leading authors and institutions in retailing research based on overall impact.

Content analysis/literature review/descriptive research.

In total, 1,392 articles were published during this time period, and through a procedure of weights and adjustments for author count, journal impact, journal quality, and journal publishing opportunity, the findings reveal that research collaboration is highly prevalent, as evidenced by the high number of multi-authored papers and cross-university/international partnerships. Additionally, some authors and institutions remain influential, while others have emerged as highly influential in the last seven years. This shows the dynamic nature of the field and the need to remain active in quality publishing.

Scholars must understand that several factors influence impact judgments, which cannot be assessed using raw counts alone. Journal quality, impact, and publishing opportunity as well as author counts are important elements to consider.

These reviews are vital to the field in that they provide status updates on scholarship, so these reviews should be done periodically. Additionally, the findings in this paper provide a more holistic understanding of research impact and permit better assessment for scholars and administrators.

Social bots are prevalent on social media. Malicious bots can severely distort the true voices of customers. This paper aims to examine social bots in the context of big data of user-generated content. In particular, the author investigates the scope of information distortion for 24 brands across seven industries. Furthermore, the author studies the mechanisms that make social bots viral. Last, approaches to detecting and preventing malicious bots are recommended.

A Twitter data set of 29 million tweets was collected. Latent Dirichlet allocation and word cloud were used to visualize unstructured big data of textual content. Sentiment analysis was used to automatically classify 29 million tweets. A fixed-effects model was run on the final panel data.

The findings demonstrate that social bots significantly distort brand-related information across all industries and among all brands under study. Moreover, Twitter social bots are significantly more effective at spreading word of mouth. In addition, social bots use volumes and emotions as major effective mechanisms to influence and manipulate the spread of information about brands. Finally, the bot detection approaches are effective at identifying bots.

As brand companies use social networks to monitor brand reputation and engage customers, it is critical for them to distinguish true consumer opinions from fake ones which are artificially created by social bots.

This is the first big data examination of social bots in the context of brand-related user-generated content.

To give an overview of the papers contained in this Special Issue.

Looks at how each of the papers reflects the theme of the Special Issue, “Complexity and IT design and evolution”.

The collection of papers in this Special Issue addresses complexity, drawing on multi‐faceted, multi‐theoretical lines of inquiry.

Frameworks from complexity science, institutional theory, social science, philosophy, and recent thinking in science and technology studies (STS) are used as theoretical lenses to conceptualize and analyze complexity in IS and to offer ways to mitigate it.