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Venture capital is a critical source of funding and development of new ventures. The investment decision of venture capitalists (VCs) is a multi-stage assessment process where the entrepreneurs’ characteristics are the most important criteria to determine the decision to accept or to reject the proposal at the screening stage. At this stage, the decision-making of VCs is influenced by their subjective characteristics and their interactions with the entrepreneurs who share the same characteristics as theirs. How do the entrepreneurial experiences of both VCs and entrepreneurs interact and bias the evaluation? Several studies have tried to provide an answer to this still pending question. Research concurs in that entrepreneurial experience drives primarily the screening decisions of VCs. Yet, if many studies have shown that VCs are prone to cognitive biases in their evaluations, research focusing on the relationship between of those biases and entrepreneurial experience in the context of investment decision is scarce. VCs’ cognitive biases have been linked to the subjective characteristics of VCs. Most precisely, many studies have shown that a common bias among investors is the similarity-attraction bias such that VCs’ evaluations improve when VCs and entrepreneurs share the same characteristics. As a result, it is likely that entrepreneurial experience plays a significant role in explaining biases in investment decisions. Overall, research points out the importance of entrepreneurial experience of both VCs and entrepreneurs, their interactions and the cognitive biases shaped by their respective experiences in explaining the investment decisions of VCs at the screening stage.

Luxury tourism is an emerging area of research and deserves consideration for its implications for tourism and hospitality management and policy development. This chapter reviews the phenomena of luxury tourism in the academic literature and in particular, its links to the concepts of high yield, sustainability and tourist experiences. The global hiatus caused by the COVID-19 pandemic has presented an opportunity for tourism policymakers and industry stakeholders to reconsider how luxury tourism can contribute to optimal economic, social and environmental outcomes with desired yield and sustainability aspirations. A renewed understanding of luxury tourism in terms of its production and consumption processes, as well as the associated value, emotion and narrative, is therefore of critical importance. The value of this chapter lies in synthesising a number of strands of inquiry across disparate bodies of literature to identify a research agenda. Areas that are proposed for further research include the conceptualisation of luxury tourism, the evolving nature of luxury experiences; value co-creation across all stages of luxury tourism; and the nexus between luxury tourism and destination image. Managerial implications of luxury tourism are also discussed, including the necessary conditions for cultivating luxury tourism; the need to measure the social and environmental impact of luxury tourism; and the important relationships between luxury tourism, innovation and market leadership.

The aim of this chapter is to discuss the experience-centric strategy from the aspect of innovation management, its contribution to designing and managing valuable tourism experiences, especially in context of guided tours.

The study reviews literature on experience-centric approaches and innovation, it discusses the concepts of experience-centric innovation and experience innovation, particularly the role of experience design and market intelligence in experience-centric service processes. It analyzes empirical data from interviews with eleven tour providers.

Creating novel experiences through product innovation was found as the most common type of innovation on frames of guided tours. The group size was identified as an influential feature of the experience design, and imitation has proved to be a major threat. The role of knowledge management and dynamics of knowledge were explored, too, and tour guides were identified as experiential knowledge collectors and/or creators; thus their role in knowledge management is crucial alongside the market intelligence. In contract with theoretical proposition, costumer-driven innovation is not seen by tour providers as a crucial issue in creating memorable experiences.

The chapter studied only traditional guided tours where the customer meets the service provider, and the data was collected only in Budapest.

The chapter emphasized the role of market intelligence and experience design in the process of experience-centric service provision for a successful innovation – in frames of a theoretical model. The empirical results identified some main issues and obstacles in implementation of the experience-centric approach and innovative tools and processes in context of guided tours.

Conducting relevant research is a cornerstone of good academic practice. However, considering academics and practitioners’ divergent paradigms and social systems, it is challenging to undertake impactful research. Indeed, the research–practice gap remains an essential issue in human resource management research. There have been several calls for translating research for dissemination, making it more societally relevant, and beginning conversations and activities that move beyond the confines of the academic context. In fact, research on talent management (TM) has been accused of lagging in offering organizations vision and direction. Understanding the perceived causes and potential solutions for relevant problems is a real need to successfully narrow the TM research–practice gap. Thus, the purpose of this chapter is to offer an in-depth discussion on the research–practice gap in TM. To do so, we first identify the critical dimensions of research relevance that will help us to ground our discussion regarding the applicability of current academic TM research. By doing this, we seek to understand better what is happening with TM research, which should then help provide insights into how its practical impact can be improved.

The purpose of this study is to look at the factors that drive people to participate in the sharing economy (SE). Based on the Technology Acceptance Model (TAM) and the Theory of Planned Behavior (TPB), the study proposes a mathematical model. The study’s ultimate objective is to help businesses attract more involved customers and promote collaborative consumption as a sustainable alternative to typical consumption patterns. The study offers a conceptual framework established via a thorough literature review to examine Indian customers’ use behavior toward SE platforms. A one-sample two-tailed t-test is used to assess the framework’s efficacy. The research fills gap in the literature on the SE by investigating the factors that determine subjective norms (SN), attitudes (A), and perceived behavioral control (PBC). A framework is provided that takes behavioral intention (BI) contemplated as a mediating variable. The research improves TAM and TPB by including new factors such as technical characteristics. This research adds to the body of knowledge on the digital SE by underlining the relevance of usage behavior in comprehending Indian customers, where A, SN, and PBC are important aspects. The research presents a paradigm for better understanding customers’ attitudes and behaviors toward various SE platforms, which might help academics, practitioners, and policy makers situate their initiatives within the larger field of sharing. The study’s categorizations of Indian consumers’ A, SN, PBC, and BI toward the SE might potentially advise on future research and government policies.

Our theoretical understanding of subjective well-being in the workplace is incomplete without a dynamic understanding of antecedents and outcomes of subjective well-being. While between-person differences provide useful information about employee outcomes, these differences do not provide information about the relationships between subjective well-being and employee outcomes that evolve over time and across situations. In this paper, we discuss specific statistical methods within the nomothetic and idiographic perspectives that can support dynamic research on subjective well-being in the workplace and outline unanswered contemporary questions regarding structure, processes, and dynamics of subjective well-being that may be addressed with these methods reviewed; some of which were proposed in early research but progressed slowly due to a lack of adequate methods. This discussion highlights how idiographic methods from outside organizational psychology can be applied to the study of worker subjective well-being to strengthen this dynamic approach in a way that addresses limitations associated with reliance on between-person models.

Hotels, the second largest component of online travel, have traditionally collected customer data through loyalty or customer relationship management programmes, compiling data about customers and using it to improve customer service and marketing efforts (Piccoli & O’Connor, 2003). Recent growth in online sales has given them access to even more granular and topical data. In particular technologies such as cookies, web bugs and beacons allow data on an individual’s browsing (e.g. the pages they have visited or the searches they have conducted) to be collected, consolidated and analysed to reveal detailed insights about customers which can subsequently be used for marketing purposes (Gilbert, 2008). While previous studies have investigated data collection by hotels, for the most part these have focussed on data surrendered voluntarily, with none addressing data collection through automated means. This chapter therefore attempts to fill this research gap, investigating whether and how hotel companies use such techniques, and whether consumers are adequately informed about this data collection process. Using the top 50 global hotel brands as a population, it explores both cookie disclosure and cookie practice by global hotel brands. The findings demonstrate that hotel brands, particularly those with their headquarters in the USA, are making extensive use of online monitoring technologies, typically for marketing purposes. In most cases, this data collection is happening surreptitiously, with the data protection notices that exist overtly long as well as crouched in highly technical language. Despite legislative changes that amplify the need to inform consumers about data collection, few hotel chains currently comply with the principles of informed consent, leaving many open to potential sanction.

The data sample used in this study is composed of 2,638 Chinese tourists who have travel experiences to the South Pacific region. This study examines the effects of memorable tourism experiences, destination cognitive and affective images, and satisfaction on revisit intention and their mechanisms from a cognitive–affective perspective. Results show that destination cognitive image, destination affective image, and satisfaction, respectively, play a mediating effect on the relationship between memorable tourism experiences and revisit intention. Memorable tourism experience is the most important predictor of revisit intention, and it mainly affects the cognitive image of a destination. In line with previous studies, this research has shown that memorable tourism experiences have significant impact on the destination image and tourists' revisit intention, which can provide significant implications for tourism practitioners and destination managers in the South Pacific islands.