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While the branding of individuals has attracted increasing attention from practitioners in recent decades, understanding of personal branding still remains limited, especially with regard to the branding of celebrity CEOs. To contribute to this debate, this paper aims to explore the co-branding of celebrity CEOs and corporate brands, integrating endorsement theory and the concept of meaning transfer at a level of brand attributes.

A between-subjects true experimental design was chosen for each of the two empirical studies with a total of 268 participants, using mock newspaper articles about a succession scenario at the CEO level of different companies. The study is designed to analyse the meaning transfer from celebrity CEO to corporate brand and vice versa using 16 personality attributes.

This study gives empirical support for meaning transfer effects at the brand attribute level in both the celebrity-CEO-to-corporate-brand and corporate-brand-to-celebrity-CEO direction, which confirms the applicability of the concept of brand endorsement to celebrity CEOs and the mutuality in co-branding models. Furthermore, a more detailed and expansive perspective on the definition of endorsement is provided as well as managerial guidance for building celebrity CEOs and corporate brands in consideration of meaning transfer effects.

This study is one of only few analysing the phenomenon of meaning transfer between brands that focus on non-evaluative associations (i.e. personality attributes). It is unique in its scope, insofar as the partnering relationship between celebrity CEOs and corporate brands have not been analysed empirically from this perspective yet. It bridges the gap between application in practice and the academic foundations, and it contributes to a broader understanding and definition of celebrity endorsement.

The purpose of this study is to examine the potential of integrating material from the arts into postgraduate curricula to deepen students’ engagement with marketing phenomena. The authors assess the use of arts-based activities, within a broader critical pedagogy, for encouraging imaginative and analytical thinking.

The authors devised two learning activities and an interpretive method for studying their value. The activities were an individual essay connecting themes in song lyrics to marketing, and a group photography project. These were applied, within a broader, critical approach, in postgraduate modules on sustainability, ethics and critical marketing. Data collection comprised diaries kept by the teachers, open-ended feedback from students and students’ assignments.

Students showed high levels of engagement, reflexivity and depth of thought, in felt experiences of learning. Their ability to make connections not explicitly in the materials, and requiring imaginative jumps, was notable. Several reported lasting changes to their behaviour. Some found the tasks initially intimidating or, once they were more engaged, stressful or saddening.

This adds to scholarship on management education by showing the usefulness of an arts-based approach towards a transformative agenda.

It offers a template of how to draw from the arts to strengthen critical engagement upon which marketing teachers can build. It also contains practical advice on the challenges and benefits of doing so.

The authors provide evidence that this approach can enhance sensitivity and reflexivity in students, potentially producing more ethical and sustainable decisions in future.

The pedagogical interventions are novel and of value to lecturers seeking to enhance critical engagement with theory. An empirical study of an attempt to integrate arts into teaching marketing represents a promising direction, given the discipline’s creative nature.

The purpose of this paper is to discuss findings from an Arts and Humanities Research Council (AHRC)-funded research project into the heritage culture of British folk tales. The project investigated how such archival source material might be made relevant to contemporary audience via processes of artistic remediation. The research considered artists as “cultural intermediaries”, i.e. as actors occupying the conceptual space between production and consumption in an artistic process.

Interview data is drawn from a range of 1‐2‐1 and group interviews with the artists. These interviews took place throughout the duration of the project.

When artists are engaged in a process of remediation which has a distinct arts marketing/audience development focus, they begin to intermediate between themselves and the audience/consumer. Artist perceptions of their role as “professionals of qualification” is determined by the subjective disposition required by the market context in operation at the time (in the case of this project, as commissioned artists working to a brief). Artists’ ability (and indeed willingness) to engage in this process is to a great extent proscribed by their “sense-of-self-as-artist” and an engagement with Romantic ideas of artistic autonomy.

A consideration of the relationship between cultural intermediation and both cultural policy and arts marketing. The artist-as-intermediary role, undertaking creative processes to mediate how goods are perceived by others, enables value-adding processes to be undertaken at the point of remediation, rather than at the stage of intermediation.

Social networks have changed the communication patterns significantly. Information available from different social networking sites can be well utilized for the analysis of users opinion. Hence, the organizations would benefit through the development of a platform, which can analyze public sentiments in the social media about their products and services to provide a value addition in their business process. Over the last few years, deep learning is very popular in the areas of image classification, speech recognition, etc. However, research on the use of deep learning method in sentiment analysis is limited. It has been observed that in some cases the existing machine learning methods for sentiment analysis fail to extract some implicit aspects and might not be very useful. Therefore, we propose a deep learning approach for aspect extraction from text and analysis of users sentiment corresponding to the aspect. A seven layer deep convolutional neural network (CNN) is used to tag each aspect in the opinionated sentences. We have combined deep learning approach with a set of rule-based approach to improve the performance of aspect extraction method as well as sentiment scoring method. We have also tried to improve the existing rule-based approach of aspect extraction by aspect categorization with a predefined set of aspect categories using clustering method and compared our proposed method with some of the state-of-the-art methods. It has been observed that the overall accuracy of our proposed method is 0.87 while that of the other state-of-the-art methods like modified rule-based method and CNN are 0.75 and 0.80 respectively. The overall accuracy of our proposed method shows an increment of 7–12% from that of the state-of-the-art methods.

A topic currently receiving significant academic and practitioner attention is called evidence-based management. The purpose of this paper is to suggest that this approach is sometimes over-sold and may be a fad. Additionally, evidence-based management fails to fully recognize the importance of tacit knowledge, what Kahneman calls system 1. Evidence-based management does provide tools to better use what Kahneman calls system 2, rationality. Decision-makers need to take advantage of both rational and beyond rational processes.

This is an essay, it is not a report of a study. At this point in time, this paper needs thinking, reflection, pondering, more than a data-based study.

Advocates promote evidence-based management in part to help avoid fads, yet evidence-based management itself has many of the characteristics of a fad. Evidence-based management is based on an objective rational view of the world and suggests highly rational methods of decision-making. However, a rational fact-based might not give sufficient credit to instinct and feelings. Decision-makers should take into account facts, evidence, when making decisions, but not ignore intuition, hunches and feelings. This study is learning that decisions use a galaxy of approaches, with both cognitive and affective flexibility.

As with any opinion-based paper, this lacks empirical support. Proponents ask us to believe in evidence-based management. Neither we, the authors of this paper, nor the proponents of evidence-based management can empirically support the ideas offered. An additional limitation is that the paper is written in one language, English. Translation into another language might yield different meanings.

There are advantages for scholars and practitioners to look at the best available evidence. There can be disadvantages in overlooking non-quantifiable factors.

Those who use evidence-based management should also take into account feelings, ethics, aesthetics, creativity, for the betterment of society. To solve wicked problems one needs more than facts and rational analysis.

The overwhelming majority of those writing about evidence-based management are supporters. This study offers a different view. This paper brings new ideas and new thinking to both the extensive fad literature and the huge evidence-based management literature. Evidence-based management is discussed widely. Google Scholar lists more than two million papers in 2019, 2020 and 2021 on evidence-based management. Readers of this journal should critically evaluate this popular set of ideas.

User trust in social networking sites (SNS) has become an important issue in SNS discussions. This is because of its impact on knowledge sharing, social commerce, social interaction, among many others. However, information systems researchers have primarily explored the benefits of trust with little attention to its antecedents. In an attempt to address this knowledge gap, this study proposed a model that investigated the factors that promote trust among SNS users. Data was gathered from voluntary respondents using a questionnaire. A PLS-SEM analysis of 912 valid responses suggested that Norm of Reciprocity, Social Interaction Ties and Identification are significant factors that encourage Trust among SNS users. Shared Language was also identified to have impact on Norm of Reciprocity, Social Interaction Ties and Identification. The results of the study provide significant theoretical and practical contributions. They bridge the knowledge gap regarding the formation of Trust on SNS. The model evaluated explains 49.6% of the variance in Trust and thus suitable for analyzing the antecedents of Trust on SNS. Furthermore, with the significance of Identification, Social Interaction Ties and Norm of Reciprocity on Trust, SNS developers are tasked to offer SNS features that proliferate the formation of these factors as well as shared interpretations.

The study explores experiences of African immigrants in their self-employment journey. South Africa has been receiving many African immigrants seeking for socio-economic survival. This presents a gap to understand the self-employment journey of such immigrants post-settlement.

A qualitative inquiry is used with semi-structured interviews using a sample of African immigrants based in South Africa. Narrative enquiry was utilised in trying to understand the African immigrant self-employment journey.

The findings show strategies used by African immigrant entrepreneurs in their self-employment journey. These include immigrant relying on established relationships to respond to contextual challenges. Further, immigrant entrepreneurs turned to borrowing from family, including personal savings and using fronts as a capital generation strategy.

Based on the findings strategies are suggested as a useful precursor in advancing understanding of the African immigrant self-employment journey. This becomes useful especially considering ideals for assisting post-settlement of migrants.