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Low-fit brand extensions offer several potential benefits, yet their success is challenging. Building on construal level theory, this study aims to investigate how different advertising appeals can improve the evaluations of low-fit brand extensions through two different processes (cognitive and affective).

Two experiments were conducted with US consumers. Study 1 used a 2 (extension fit: high, low) × 2 (ad appeal: abstract, concrete) between-subjects design. Study 2 applied a 2 (brand associations: promotion, prevention) × 2 (ad appeal: promotion, prevention) between-subjects design. Multivariate analyses and follow-up means comparisons were used to analyse data.

Study 1 found that an abstract ad appeal is more effective for promoting low-fit brand extension because it improves the perception of fit. Study 2 showed promotion vs prevention ad appeals lead to better evaluation of low-fit brand extensions when matched with parent brand associations (promotion vs prevention) in terms of construal level. This matching effect is underpinned by processing fluency.

Ad appeals can influence low-fit brand extension evaluation by influencing the perception of fit (cognitive process) or processing fluency (affective process). Future research could consider different ad appeals and other construal related factors to generalise these findings.

Marketers can design different ad appeals to effectively advertise low-fit brand extensions. These findings can guide managers in the development of effective advertising strategies.

This research offers a new perspective on how ad appeals can enhance low-fit brand extension evaluation.

Poverty is a pervasive issue, which has wide-reaching, negative impacts on a range of outcomes including health, wellbeing, and education. Understanding poverty is therefore critical for students preparing to work in public-facing roles, many of whom have little knowledge or direct experience of poverty. Drawing on a student’s account of their own educational experiences and reflections on the Widening Participation agenda, this chapter outlines key considerations for educators planning to teach about poverty. While greater diversity within classrooms can be an enriching experience, this chapter acknowledges the additional educational, social, and emotional demands placed on some students in further and higher education as a result of their backgrounds. The inadvertent exacerbation of poverty-related stigma through the expression of certain attitudes, assumptions and behaviours within classrooms is also discussed.

Any topic can be sensitive, and every subject area will have sensitive issues and topics that academics in higher education and further education settings will be expected to negotiate. Your ability to negotiate sensitive topics is important because the ways in which you engage and teach about sensitive topics will affect your ability to provide a positive learning experience and teaching alliance with students. In practice, you will face enormous pressure to ‘deliver’ on teaching, which will only be mirrored by similar freedoms in deciding on how and what needs to be done to get students to where they need to be. Negotiating, identifying, preparing for and delivering teaching on sensitive subjects and topics can be difficult in individual academics. This chapter, seeks to prepare you for developing a deeper understanding of some of the philosophical, theoretical, and practical-based concerns and issues related to teaching sensitive topics and subjects. This chapter begins with providing a rationale for what follows, and it explores some of the key themes, positionality, identity, transformational learning and lived experience, that are explored in greater depth in the collection. This chapter also contains a detailed breakdown of the structure and the content of this edited collection, and it concludes with some reflective comments about the implications of the collection for you as an individual and your career.

This study examines the relationship between food experience, emotion, place attachment, and tourists' revisit behavioral intention. A survey questionnaire is conducted on-site in Lukang and distributed to 408 tourists. The dimensions of food experience are established through factor analysis, and a hypothesized model of the relationships between the constructs is tested using structural equation modeling (SEM). The results indicate that tourists' food experiences included local flavor, media recommendation, local learning, life transfer, and interpersonal sharing. In addition, food experience has a significant impact on emotion and place attachment, and emotion has a substantial effect on place attachment. Finally, place attachment significantly impacts tourists' revisit behavioral intention. The study makes a significant theoretical contribution by identifying food experience, emotion, and place attachment as the salient predictors of heritage tourists' revisit intention. Furthermore, the study suggests that food experiences enhance effective bonding at tourism destinations.

Research on knowledge creation within eSports learning is scarce. This study extends the understanding of competition-oriented collaborative learning in eSports by examining the relationship between the dynamics of knowledge creation modes and the continuum of the motivational profile, along with the moderating effects of mutualistic co-presence therein.

Participants were recruited from the community of massively multiplayer online gamers (MMOGs). Through a quantitative survey, their motivations (i.e. self-extrinsic, self-intrinsic, peer-extrinsic and peer-intrinsic motivations), knowledge creation involvements (i.e. internalization, externalization, combination and socialization) and perception of mutualistic benefit of self and peers were captured for hypothesis testing.

Significant and positive direct relationships were observed between four motivations and four knowledge creation modes. The mutualistic co-presence positively moderated the positive relationship between the self-extrinsic, peer-extrinsic and peer-intrinsic motivations and socialization. When mutualistic self-benefit were outweighed, peer-extrinsic motivated gamers became less likely to perform internalization, whereas self-extrinsic and peer-extrinsic motivated gamers were less likely to perform combination.

This study is among the first to rationalize the relationship between motivational profile and the dynamics of knowledge creation in eSports learning. The conceptualization of the new construct – mutualistic co-presence – using the ecological concept of symbiosis is uncommon in prior literature. The findings also demonstrate that the four modes of knowledge creation in eSports learning are continuous and interwoven; they can be initiated at any point and do not necessarily occur in a specific sequence.

This chapter examines the impact of smart city projects on the economic and business environment, with a specific focus on their potential to foster innovation and entrepreneurship. It highlights how smart cities create an enabling environment for new businesses, start-ups, and promotes gender and green entrepreneurship, while enhancing urban properties and contributing to the overall entrepreneurial ecosystem. The exponential growth of smart city projects worldwide has underscored the critical relationship between smart cities and the entrepreneurial ecosystem for city prosperity and competitiveness. This chapter explores the interplay between smart cities and the economic environment, emphasizing their role as hubs for innovation and business creation. It analyzes the influence of smart city ecosystems and economic factors on local growth and economic outcomes, drawing on international research and factual data. This chapter evaluates the economic outcomes of smart cities, including their impact on the economic environment, business creation, start-ups, innovative and green companies, as well as gender entrepreneurship. This chapter emphasizes the significance of smart city implementation in driving economic advancements within both the urban and economic landscapes. Finally, this chapter concludes by presenting a conceptual framework that synthesizes the insights gained, providing a comprehensive understanding of the economic impact of smart cities and offering a roadmap for further exploration of this topic.

The purpose of this study is to extend the findings from a very limited number of studies that have focused on the potential antecedents of firm diversity. Specifically, the authors examined the extent to which a set of firm-level diversity management initiatives, which included diversity, equity and inclusion (DE&I) policies and oversight structures, senior leader values and utility perceptions about DE&I and DE&I dissemination strategies, may be related to firm-level reported diversity – overall, and that which is specific to gender, ethnicity, race and disability.

The data for this study were gathered from a national sample of 200 US restaurant and foodservice companies during the third quarter of 2021 by an independent data collection firm.

After controlling for firm size, age, ownership structure and chain affiliation, the results from a series of regression analyses showed that formal diversity management policies and procedures (e.g. policies beyond those legally mandated), structural oversight of diversity management initiatives (e.g. designated diversity leader) and beliefs among senior leaders regarding the utility of diversity management initiatives, were positively related to firm-level diversity. There were also several notable differences in the significance of the findings across the four diversity groups, indicating support for a contingency explanation.

There are two unique contributions to this study. First, by considering a more support-based (vs compliance and control) approach to managing DE&I that is authenticated by senior leadership’s beliefs about the utility of DE&I, the findings advance the understanding of the nature and scope of diversity management initiatives that may influence firm-level diversity – in general, as well as that which may be specific to restaurant and foodservice settings. Additionally, the findings offer industry-specific insights regarding the extent and relevance of DE&I policies and practices that have been adopted by restaurants and foodservice organizations and prescriptive guidance for future inquiry on this topic.

Cyber risk has significantly increased over the past twenty years. In many organizations, data and operations are managed through a complex technology stack underpinned by an Enterprise Resource Planning (ERP) system such as systemanalyse programmentwicklung (SAP). The ERP environment by itself can be overwhelming for a typical ERP Manager, coupled with increasing cybersecurity issues that arise creating periods of intense time pressure, stress and workload, increasing risk to the organization. This paper aims to identify a pragmatic approach to prioritize vulnerabilities for the ERP Manager.

Applying attention-based theory, a pragmatic approach is developed to prioritize an organization’s response to the National Institute of Standards and Technology (NIST) National Vulnerability Database (NVD) vulnerabilities using a Classification and Regression Tree (CART).

The application of classification and regression tree (CART) to the National Institute of Standards and Technology’s National Vulnerability Database identifies prioritization unavailable within the NIST’s categorization.

The ERP Manager is a role between technology, functionality, centralized control and organization data. Without CART, vulnerabilities are left to a reactive approach, subject to overwhelming situations due to intense time pressure, stress and workload.

To the best of the authors’ knowledge, this work is original and has not been published elsewhere, nor is it currently under consideration for publication elsewhere. CART has previously not been applied to the prioritizing cybersecurity vulnerabilities.