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Our study explored and mapped cisgender female consumers' motivation and shopping experience for cross-sexual fashion, i.e. people shopping for clothes that are not designed or marketed for their biological sex.

Using a qualitative method, this study explored and mapped consumers' motivation and shopping experience for cross-sexual fashion. Thirteen cisgender female millennials were interviewed about their memories and perceptions of their pre-purchase, purchase and post-purchase experiences.

The findings defined the model of cross-sexual shopping behaviour in cisgender women with the following: (1) two pre-purchase schemes, i.e. fashioned gender schema and nonconformity motivation; (2) one pivotal and main purchase factor, i.e. time invested in the experience itself; and (3) two post-purchase schemes, i.e. use for comfort and use for protection. Practical marketing approaches in advertising and in-store experiences were identified in order to better target cross-sexual consumers.

Unisex fashion (or degendered fashion) has pioneered a fashion trend considered a growing trend in younger generations. To our knowledge, this study is the first research exploring regendered fashion (i.e. going beyond the cisgender and same-sex purchase approach of fashion consumerism) through the lens of cross-sexual consumer behaviour.

There is a growing interest in the use of HR-based Industry 4.0 technologies for equality, diversity, and inclusion (EDI) issues yet the emerging trends of Industry 4.0 in EDI implementations and interventions are not fully covered. This chapter investigates the emerging themes regarding EDI and Industry 4.0 interaction through Google-based big data that show the actual interest in Industry 4.0 and EDI. Drawing on a web analytics method that tracks the real click behaviours of web users through querying combined sets of keywords, the study explores the trends and interactions between Industry 4.0 technologies and EDI-related HR practices. Our search engine results page (SERP) analyses find a high volume of queries and a significant interest between EDI elements and artificial intelligence (AI) only. In contrast to the suggestions of the extant literature, no significant user interest in other Industry 4.0 applications for EDI implementations was observed. The authors suggest that other Industry 4.0 technologies such as machine learning (ML) and natural language processing (NLP) for EDI implementations are in their early stages.

This paper aims to analyse the role of a network in the development of female business experiences through the study of the Industrie Femminili Italiane (I.F.I.) (Italian Women’s Cooperative Enterprise), founded in 1903 in Rome to promote women’s work and their economic conditions.

This study applies the embeddedness theory for women’s empowerment that provides a valuable lens to explore the interactions between female entrepreneurs and their social, cultural and economic contexts.

With this study, the authors found that the network structure was used at the beginning of the past century in Italy as a useful instrument for female emancipation and empowerment, extending to common/not exceptional women entrepreneurial opportunities otherwise reserved for rich and noble women. In the interplay among the different “contexts” (political, social, cultural and cognitive), it seems to emerge the incidence of female social relationships in facing an unfavourable political and cultural context, breaking out the norms and allowing the business to exist and influencing, with the activity of the high social standing women, the cognitive structure of the other female workers, make them active participants in this entrepreneurial activity.

This is a single case study that has shed light on a specific female network, and the authors’ findings and considerations are influenced by the shortage of data and sources available. Demonstrating that I.F.I. is the result of the collaboration of women from different social classes involved at different organisational levels, this work shows, from a historical perspective, the importance of female mutual support for their emancipation and the role played by the network structure as an amplifier of possibilities otherwise limited to rich women, the emancipation of women and minorities in countries characterised by important barriers to entrepreneurship.

To the best of the authors’ knowledge, this is the first paper analysing a female entrepreneurial network from a historical point of view and its role in overcoming gender barriers within the analysis of the interplaying contexts.

This study aims to explore the roles and relations of dynamic capabilities (DCs) and marketing capabilities (MCs) to generate firm performance through new empirical data from the automotive industry in an emerging market, Turkey, where volatile market conditions may compel firms to use both their DCs and MCs. The automotive industry dynamic character, which is shaped by fierce competition among car manufacturers, fluctuating customer demands and strong effect of environmental forces, provides an ideal context for examining the performance outcomes of MC and DC in non-static environments. This study aims to show whether better financial performance can be achieved through an integrated MC and DC framework; if the level of environmental dynamism (ED) influences the utilization of MCs; and the impact of MC and DC convergence on firm performance by using emerging market data, which is rare in the extant literature.

This paper empirically investigates the role of MCs on the relationship between DCs and firm performance and the effect of ED in marketing capability development through a study of 162 top level managers from the automotive industry in Turkey using multiple regression methods. A self-administered questionnaire was used to collect data. A maximum concern was given to obtain at least three questionnaires from each firm to minimize the risk of getting biased answers from only one manager.

The data were analyzed by the regression method, and the mediation and moderation tests were conducted to test the established hypotheses. The direct relationship between MCs and firm performance was examined through linear regression, and a significant relationship was found (ß = 0.408; t = 5.656; p < 0.001). Pricing (ß = 0.404; p < 0.001), marketing research (ß = 0.367; p < 0.001) and marketing strategy and implementation (ß = 0.336; p < 0.001) had the strongest association with firm performance. The mediating role of MC on the relationship between DC and firm performance was assessed, and the analysis result yielded a significant result (ß = 0.439; t = 6.174; p < 0.001). Finally, the moderating effect of ED on the direct relationship between MC and firm performance was assessed. Yet, the interaction term was insignificant (ß = 0.013; t = 0.103; p = 0.918) in predicting firm performance.

Although the data set covers a broad range of firms operating in the Turkish automotive industry, the generalization of findings should only be possible through obtaining fresh evidence from other emerging markets that possess the similar market characteristics of Turkey. The cross-sectional nature of the study may offer insights only for a certain period of time; thus, additional longitudinal studies are recommended to see the dynamic changes on the constructs and relationships between them. Future studies may also include qualitative methods, i.e. interviews with top managers to have a deeper understanding on how DC–MC interaction creates better performance.

This study empirically shows the importance of MCs for firm performance; thus, managers should allocate significant efforts and resources for improving MCs. The demand for the electric and even autonomous vehicles is likely to increase in the following years, and this new era in the automotive industry requires more R&D and innovation-based products, i.e. green vehicles with low carbon footprint, the use of robotics and long-life batteries for electric vehicles. The cost-related pricing may no longer be a competitive advantage for the firms in emerging markets such as Turkish automotive industry; thus, more investment for disruptive technologies should be considered.

The results show that MCs of firms mediated the relationship between DCs and economic performance. Yet, ED did not play a moderating role on the relationships between MCs and performance. It is concluded that DCs were associated with improved firm performance via MCs. Furthermore, the insignificant impact of ED on the development of MCs leading to better performance was explained by firms’ given over-performing efforts in the context of emerging markets.