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Battlefield tourism is a growing field in tourism research. However, it focuses primarily on an activity known as Dark Tourism, the visiting of places where tragedies or death took place. It includes the development of these sites as well. Cemeteries, internment sites, and memorials relating to death and depravity are the main features of battlefield tourism. Tourism development relies primarily on good infrastructure and an attractive (tourism) environment. As a niche tourism market, battlefield tourism can actively enhance the tourism product proposition of a destination. Identifying battlefield sites, incorporating them into battlefield tourism routes, and developing them as tourist attractions can act as an agent of tourism development. Battlefield tourists are mostly retired and have time to travel. They are also highly educated and fall into the high-income group. They are primarily interested in visiting existing battlefields, which indicates that battlefield tourism has the potential to act as an agent of tourism development and growth. For battlefield tourism developers, it would be essential to know their target market. Key factors in developing a successful tourism development plan for battlefield tourism are study preparation, determination of objectives, data gathering, analysis and synthesis, policy and plan formulation, recommendations, implementation, and monitoring. Battlefields need interpretation, development, marketing, and even commercializing to act as “storyteller(s)” of the past, add value to the more extensive tourism offering of a specific area, and act as an agent of tourism development.

While the battlefield means danger to some people, it may mean excitement and adrenaline for others. Battlefields can also carry the meanings of a mirror of history, a place of commemoration, and respect. At the same time, it is a market and marketing area for travel providers that respond to changing human needs. Many studies mention that battlefields can mean different things for each individual. This section gives the supply and demand size of battlefield tourism that will meet all these meanings. The supply and demand for the battlefields are tried to be expressed by giving both the place of the visit-oriented research on the battlefields in the literature and the protected and surviving battlefields and related structures in the world.

This paper aims to propose a multilevel framework of fashion consumer ethics that unpacks how ethical consumers publicly express their identity through sustainable fashion (SF). The author explores SF’s cognitive, relational and contextual dynamics, highlighting how attitude–behavior (A-B) gaps might impede consumers’ ethical identity and social image alignment.

The framework theoretically reconstructs fashion consumer ethics by integrating social intuitionism, social representation theory and the public sphere. This theorizing process sheds light on fragmented attempts found in previous research to understand how ethical consumers express their self-identity and socially represent their image through SF, avoiding A-B gaps.

The theoretical propositions suggest how ethical consumers’ self-concept is expressed at the cognitive level, leading to ethical commitment toward self-associated fashion brands; social image is manifested at the relational level, giving rise to consumers’ ethical engagement in SF; and ethical consumers’ self-verify their identity-image alignment in the public sphere, thus addressing A-B issues.

The sociopsychological approach suggests a novel understanding of ethical consumers’ individual and social representation through SF consumption. The framework interprets SF as an “aesthetic of existence,” co-constructed collectively and symbolically expressed publicly. As a result, the proposed model combines different theories to introduce new causal mechanisms and constructs of ethical consumers’ cognition, sociological relations and public spheres.

This study aims to investigate the favourable conditions that influence transgenerational value transmission (TVT), value acceptance and value similarity between generations in indigenous African business-owning families.

This study adopts a multiple case study design and draws on semi-structured face-to-face interviews to collect data from participants in seven indigenous Black business-owning families located in South Africa. The software ATLAS.ti was utilised to manage the data and reflexive thematic analysis was undertaken.

The analysis reveal four themes describing how transmission factors facilitate favourable conditions for successful TVT in IBSA business-owning families, namely, authoritarian parenting, a loving and connected family relational climate, the continuous reinforcement of autonomy during childhood development and family authenticity in the face of societies dominant values climate. Furthermore, value similarity is perceived to exist among the different family generations in the business-owning families.

This study is among the first to adopt the value acquisition model to empirically examine successful TVT and examine the extent of value similarity or dissimilarity, using the business-owning family as the unit of analysis. Novel contributions to family business literature and practices are proposing a model for TVT in an African context and studying relationships from a business-owning family perspective. The model for TVT could be used to socialise the NextGen members into value sets and behaviours that help business-owning families preserve their entrepreneurial legacy and family business longevity.

This study aims to assess if the voluntary reporting of adjusted earnings before interest, taxes, depreciation and amortization (EBITDA), a widely used non-generally accepted accounting principles (GAAP) measure, has effects on information asymmetry and value relevance and how the adjustments to GAAP earnings made to derive it contribute to these effects. This study focuses on firms from two countries with contrasting institutional settings, Canada and France.

Relying on multivariate analyses and using Heckman’s procedure to address the sample self-selection issue, this study first estimates the likelihood of a firm to report adjusted EBITDA. Then, this study examines if adjusted EBITDA, as well as the adjustments made to GAAP earnings to derive adjusted EBITDA (adjustments), affect a firm’s information asymmetry and its value. These adjustments are essentially GAAP-grounded items that are discarded by management to derive non-GAAP adjusted EBITDA. The dependent variables are share price volatility, as a proxy for information asymmetry, alongside market-to-book and stock market return as indicators of value.

In terms of the used sample, results suggest that Canadian firms are much more likely to report adjusted EBITDA than French firms. Chief executive officer (CEO) attributes (CEO power) appears to increase such likelihood. Moreover, for both Canadian and French firms, adjusted EBITDA is associated with reduced stock market volatility, an indication of lower information asymmetry, as well as higher market-to-book and returns, suggesting value relevance. The results also indicate that investors view the adjustments to GAAP earnings made by management to derive adjusted EBITDA as not value relevant (similar to noise). The GAAP-grounded elements that management discard to derive adjusted EBITDA actually increase information asymmetry.

This study adds to prior research on the interface between a CEO attributes and governance and non-GAAP reporting. This study also provides evidence that, despite very different institutional settings, non-GAAP reporting conveys relevant information to capital markets’ participants in both France and Canada. Hence, a country’s institutional setting may have a differential impact on the disclosure choice but not on the resulting value relevance of such disclosure. Finally, this study extends the non-GAAP literature by examining the value relevance of a widely used yet under-researched measure, adjusted EBITDA.

The authors study how cloud adoption decision making unfolds in organizations and present the dynamic process leading to a decision to adopt or reject cloud computing. The authors thus complement earlier literature on factors that influence cloud adoption.

The authors adopt an interpretive epistemology to understand the process of cloud adoption decision making. Following an empirical investigation drawing on interviews with senior managers who led the cloud adoption decision making in organizations from across Europe. The authors outline a framework that shows how cloud adoptions follow multiple cycles in three broad phases.

The study findings demonstrate that cloud adoption decision making is a recursive process of learning about cloud through three broad phases: building perception about cloud possibilities, contextualizing cloud possibilities in terms of current computing resources and exposing the cloud proposition to others involved in making the decision. Building on these findings, the authors construct a framework of this process which can inform practitioners in making decisions on cloud adoption.

This work contributes to authors understanding of how cloud adoption decisions unfold and provides a framework for cloud adoption decisions that has theoretical and practical value. The study further demonstrates the role of the decision-leader, typically the CIO, in this process and identifies how other internal and external stakeholders are involved. It sheds light on the relevance of the phases of the cloud adoption decision-making process to different cloud adoption factors identified in the extant literature.

The creation of positive social change (PSC) is considered the primary success criterion when evaluating social enterprise performance. However, despite a proliferation of PSC-measurements, their empirical validity and applicability in emerging economies remain largely unclear. The quantitative study examines the validity of the PSC-measurement approaches proposed by Bloom and Smith (2010; Bloom and Smith approach [BSA]) and Weaver (2020b; Weaver approach [WA]) in South Africa.

Investigating a representative sample of 347 social entrepreneurs from Gauteng and Limpopo provinces, the authors use questionnaire data to explore the factorial, convergent and discriminant validity of both PSC-measurement approaches. Statistically, this is done by applying factorial and correlation analyses.

The results yield acknowledgeable differences. BSA has a high factorial and convergent validity, while its discriminant validity remains doubtful. For WA, problems concerning factorial validity occur.

Despite limited generalizability, the authors provide a first guideline for scholars regarding the empirical validity of BSA and WA outside the context of developed economies.

The current study sheds light on the validity of two PSC-measurement approaches in an emerging economy context. This way, the authors contribute to the field by addressing the scarcity of empirical research and the restricted scope of developed economies regarding PSC-measurement.

This study investigated the asymmetric effects of changes in policy uncertainty on real sector variables in Brazil, China, India and South Africa.

The study used the nonlinear autoregressive distributed lag (NARDL) modeling framework.

The results showed that both in the long run and short run, rising uncertainty not only increases consumer prices significantly in these economies, but also impedes aggregate and sectoral output growths, and deters investment, employment and private consumption. Contrary to economic expectation, the results also showed that in the long run, declining uncertainty impedes aggregate and sectoral output growths in these economies, and significantly hinders employment in South Africa and Brazil. This suggests that in the long run, economic agents in these economies somewhat behave as if uncertainty is rising. The authors also found significant asymmetric effects in the response of real sector variables to uncertainty both in the long run and short run, which justifies the choice of NARDL framework for this study.

The sample is limited to Brazil, India, China and South Africa. While Brazil, India and China are three of the most prominent large emerging market economies, South Africa is the largest emerging market economy in Africa.

To lessen the adverse effects of policy uncertainty observed in the results, there is need for sound institutions and policy regimes that can promote predictable policy responses in these economies so that policy neither serves as a source of uncertainty nor as a channel through which the effects of other shocks are transmitted.

Apart from using the NARDL framework to capture the asymmetric effects of policy uncertainty, this study also accounted for the sectoral effects of uncertainty in emerging markets.

As a consequence of global changes, the landscape of immigration is changing. This brings opportunities for researching more nuanced aspects related to immigrant entrepreneurship in new contexts. The purpose of this paper is to establish the extent to which Africa-to-African immigrants leverage their social capital and human capital towards improving the success of their entrepreneurial ventures.

First-generation immigrant entrepreneurs within the Johannesburg area in South Africa were surveyed (n = 230). Instrument validity and reliability was first established, and then the hypotheses were tested using multiple regression analyses.

Hypotheses are supported insofar African immigrant entrepreneurs in South Africa rely on their structural and resource-related dimensions of social capital to achieve entrepreneurial success. Furthermore, human capital in terms of both work experience and entrepreneurial experience was found to be a significant predictor of entrepreneurial success.

There is value in developing policies that promote African immigrant entrepreneurs with higher levels of human and social capital. These African immigrants have the potential to increase the national skills base and knowledge required for successful entrepreneurship development in South Africa.

While both human capital and social capital have been associated significantly with the generic entrepreneurship literature, this paper provides an empirical contribution by focusing on the relevance of these constructs in the context of immigrant entrepreneurship from an African emerging market perspective.