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For the design of this case study, the authors used primary sources of information from the shops visited by them in preparation of the case and website of Fred Perry and secondary sources of information from both academic and journalistic publications.

Fred Perry is a premium clothing brand, well-known for its polo shirts. It was created by Mr Fred Perry, a British tennis player. The brand’s stated values are integrity, personality and individuality. Throughout its history, the brand has been adopted by different British subcultures but recently it has faced a challenge because of the brand appropriation by the Proud Boys, a US far-right white supremacy group and other extremist groups as Antifa and hooligans. The nature and actions of the group mean that Fred Perry runs the risk of losing control over its brand equity. This brand hijack means that Fred Perry risks alienating some of its customers by openly opposing the group but also by embracing this subculture’s appropriation. Practically, the brand opposed the appropriation in a press release and by putting an end to the sale of the black and yellow polo shirts in the USA and Canada. Fred Perry has also made a lot of efforts to reposition the brand away from extremist groups while maintaining its strong historical and cultural roots. Through this case study, students will have the opportunity to discuss this topic and explore solutions for brands that face this type of dilemma.

This case is designed to be used in a marketing management, brand strategy or consumer behavior/culture course, especially in the subfield of market segmentation in the telecommunications sector. Specifically, this case is designed for college seniors or master students with basic strategic marketing training. This case will help students understand the difference between the brand identity that the brand owners intend and the brand image that consumers actually perceive. It provides the basis of discussions on the topics of brand management, consumer culture, consumers-brands relationships, brand architecture, brand equity, brand appropriation and repositioning strategy.

This study aims to propose and evaluate a novel framework of strategic adaptability in dyadic negotiations. The authors define strategic adaptability as a reaction to a cue that leads to shifts between integrative and distributive strategies. Based on the literature on turning points, phase models and strategic negotiations, the authors developed an initial framework identifying five distinct strategic adaptations.

To verify the framework, the authors analyzed two negotiation simulations with a diverse set of negotiation students. Negotiations were content-coded, and adaptations were labeled.

The authors found a consistent pattern across two studies. Overall, 12% (study 1) and 18% (study 2) of all speaking turns were identified as strategic adaptations. The findings empirically confirmed four of their strategic adaptation types: adapt to deadlock, follow adaptation by opponent, adapt to priority of issue under discussion and adapt to new information on issue. Moreover, findings of this study revealed two new types of strategic adaptability: delayed adaptation to opponent and adapt to understand opponent. Study 2 additionally revealed that strategies vary with the negotiation phase, and negotiation outcome seems to benefit more from the constellation rather than the frequency of adaptations. Furthermore, lower-scoring negotiators tended to adapt to the opponent’s strategy instead of initiating a change in strategy.

The findings of this study provide preliminary insights into how strategic adaptations unfold. These findings present future research opportunities to further test the framework's robustness, increase the knowledge of individual and cultural factors, explore the relationship with negotiation outcomes and develop educational interventions to enhance strategic adaptability.

This study aims to extend and explore patterns and trends of research in the linkage of big data and knowledge management (KM) by identifying growth in terms of numbers of papers and current and emerging themes and to propose areas of future research.

The study was conducted by systematically extracting, analysing and synthesizing the literature related to linkage between big data and KM published in top-tier journals in Web of Science (WOS) and Scopus databases by exploiting bibliometric techniques along with theory, context, characteristics, methodology (TCCM) analysis.

The study unfolds four major themes of linkage between big data and KM research, namely (1) conceptual understanding of big data as an enabler for KM, (2) big data–based models and frameworks for KM, (3) big data as a predictor variable in KM context and (4) big data applications and capabilities. It also highlights TCCM of big data and KM research through which it integrates a few previously reported themes and suggests some new themes.

This study extends advances in the previous reviews by adding a new time line, identifying new themes and helping in the understanding of complex and emerging field of linkage between big data and KM. The study outlines a holistic view of the research area and suggests future directions for flourishing in this research area.

This study highlights the role of big data in KM context resulting in enhancement of organizational performance and efficiency. A summary of existing literature and future avenues in this direction will help, guide and motivate managers to think beyond traditional data and incorporate big data into organizational knowledge infrastructure in order to get competitive advantage.

To the best of authors’ knowledge, the present study is the first study to go deeper into understanding of big data and KM research using bibliometric and TCCM analysis and thus adds a new theoretical perspective to existing literature.