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This chapter considers the challenges of applying engineering practices to knowledge. Knowledge cannot be managed like other forms of capital because it is tacit and intangible. Research has identified economic properties and behaviors that set it apart from physical and financial capital. The authors translate the economic typology of human, structural, and relational capital to Blackler’s four forms of characterizations: embrained, embodied, embedded, and encultured. Knowledge elicitation techniques are discussed, and aligned with Blakely’s four forms of characterizations.

Entrepreneurship education is transforming from traditional teacher-led classrooms to student-centred learning environments, where effectuation principles are increasingly adopted as a pedagogical framework. Yet despite its promise for developing real-world entrepreneurial capabilities, the implementation of effectuation principles in classrooms reveals a striking pattern: while some student teams excel, others struggle or even revert to passive learning approaches. Such variation in team responses raises an important question about the underlying mechanisms influencing team responses. This article aims to fill that gap by understanding why some student teams excel and others struggle in the higher education (HE) effectuation classroom.

A multiple case study involving 29 student teams enrolled in an undergraduate entrepreneurship class that is based on effectuation principles at a HE institution was conducted.

The study identifies three distinct responses among student teams. The first group displays apathy, and the second group rejects the process after a few classroom sessions. Both groups encounter student-centred learning identity threats. In contrast, the third group, despite facing similar identity threats, manages to persist.

This study argues that teaching and learning effectuation is more complex than generally depicted in the literature. It uncovers necessary and sufficient conditions related to students overcoming student-centred learning identity threats. By doing so, the study contributes to the understanding of why the connection between teaching effectuation and learning effectual behaviour is more intricate than previously understood. Additionally, it offers important practical implications for entrepreneurship educators and programme designers at HE institutions.

The construction industry plays a significant economic role but has struggled with improving labor productivity. Understanding the reasons behind this slow growth is valuable for the industry’s sustainability and improving wages. This study aims to explore the impact of capital intensity and the interaction effect of market regulations on construction labor productivity.

Using two-stage least squares panel data modeling, financial data from 55 Malaysian construction firms and economic data from 2009 to 2020 are analyzed.

The findings reveal that higher capital intensity associated with mechanization and innovation generally boosts labor productivity. However, certain market regulations, such as economic and capital freedom (ECF) and foreign debt rules (FDR), can counteract this positive effect. This suggests that poorly developed financial regulations may lead to inefficient capital allocation, reducing labor productivity in the long run.

The study highlights the importance of policymakers understanding these dynamics to develop effective strategies for enhancing labor productivity in the construction industry by considering the impact of capital intensity and the moderating effect of market regulation.

This work provides an overview of academic articles on the application of artificial intelligence (AI) in healthcare. It delves into the innovation process, encompassing a two-stage trajectory of exploration and development followed by dissemination and adoption. To illuminate the transition from the first to the second stage, we use prospect theory (PT) to offer insights into the effects of risk and uncertainty on individual decision-making, which potentially lead to partially irrational choices. The primary objective is to discern whether clinical decision support systems (CDSSs) can serve as effective means of “cognitive debiasing”, thus countering the perceived risks.

This study presents a comprehensive systematic literature review (SLR) of the adoption of clinical decision support systems (CDSSs) in healthcare. We selected English articles dated 2013–2023 from Scopus, Web of Science and PubMed, found using keywords such as “Artificial Intelligence,” “Healthcare” and “CDSS.” A bibliometric analysis was conducted to evaluate literature productivity and its impact on this topic.

Of 322 articles, 113 met the eligibility criteria. These pointed to a widespread reluctance among physicians to adopt AI systems, primarily due to trust-related issues. Although our systematic literature review underscores the positive effects of AI in healthcare, it barely addresses the associated risks.

This study has certain limitations, including potential concerns regarding generalizability, biases in the literature review and reliance on theoretical frameworks that lack empirical evidence.

The uniqueness of this study lies in its examination of healthcare professionals’ perceptions of the risks associated with implementing AI systems. Moreover, it addresses liability issues involving a range of stakeholders, including algorithm developers, Internet of Things (IoT) manufacturers, communication systems and cybersecurity providers.

This research examines the elements that influence consumer behavior regarding food waste reduction in buffet style restaurants. It specifically analyzes the factors that affect consumers' efforts to reduce food waste in these establishments by incorporating the theory of planned behavior (TPB), the norm activation model (NAM), and the social exchange theory (SET). Additionally, this study provides practical coping strategies for the restaurant industry.

Drawing upon an integrated framework, the study collected 547 valid responses through an online survey on Amazon’s Mechanical Turk (MTurk) for structural equation analysis. Participants who are 18 years or older and have prior experience dining in buffet style restaurants were eligible to participate in the study.

The findings underscore the profound impact of consumer awareness on their attitudes (ATT) toward minimizing food waste. Moreover, subjective norms (SN), perceived behavioral control (PBC), personal norms (PN) and establishment policies emerge as critical drivers of consumer behavior in buffet style dining settings. In light of these results, recommended strategies include enhancing consumer awareness initiatives and introducing house policies within restaurant operations.

This study employs an integrated framework that combines the NAM and TPB, taking into account the impact of house policies grounded in the SET. It provides a beneficial insight on reducing food waste in the buffet style foodservice operations from an interactive dynamic perspective between restaurants and consumers. Furthermore, this research offers valuable implications to the industry’s efforts to address food waste concerns and foster environmentally responsible behavior among consumers.

The academic background of tourism marketing dates back to the 1960s. There had been a slight increase in its capacity until the early 1990s. However, since then, it has boomed, reaching thousands of scientific journal articles and tens of scientific books published only in English each year. Therefore, this study aims to present how tourism marketing has progressed academically within the past 60 years over four waves and how this progress may move forward as the next wave.

A bibliometric analysis grounds this study, which characterizes the past and present of tourism marketing research and anticipates the future. Content analysis, such as word clouds and social network analysis, was adopted to identify topic clusters and their connections. A total of 9,239 articles published between 1969 and 2024 were extracted from Scopus. Software packages such as VOSviewer were used to determine connections within topics.

The authors have assessed the findings broadly. Four waves were from the late 1960s to the first quarter of 2000. In spite of the limited size of papers at the early stage, the last wave saw a boom and a diversified number and category of subjects studied. In each wave, new subjects were added to broaden the picture.

The discussion of findings is based only on those scientific papers published in English since 1969 but excludes the whole list of textbooks. Subsequent research should also consider all papers and textbooks released in different languages to have the broadest picture assessment worldwide.

The study conveys various suggestions for industry practitioners and policymakers to focus on carefully assessing trends in marketing tourism services and how these may be shaped shortly. This may help practitioners and policymakers redesign their services and marketing strategies in light of future developments.

This study continues a recent study published by Kozak (2023) that has been elaborated, particularly from the industry perspective. The current study examines the academic profile of all subjects investigated in the case of tourism marketing, but mainly in an academic sense. Accordingly, this paper outlines the facts and trends researchers may follow throughout the research frame published in the past six decades.

旅游营销的学术背景可以追溯到20世纪60年代。在20世纪90年代初之前, 旅游营销的研究能力有所提升, 但增幅有限。然而, 自那时起, 旅游营销领域迅速发展, 每年仅用英文发表的期刊文章已达到数千篇, 出版的书籍也达到了数十本。因此, 本研究旨在展示过去60年内旅游营销研究在学术上的发展历程, 分为四个浪潮, 并探讨未来可能出现的下一个发展浪潮。

本研究以文献计量分析为基础, 描述了旅游营销研究的过去和现在, 并预测了未来的发展。采用内容分析方法, 如词云和社交网络分析, 确定了主题集群及其相互联系。从Scopus数据库中提取了1969年至2024年间发表的9,239篇文章, 并使用VOSviewer等软件包确定了主题之间的联系。

我们对研究结果进行了广泛的评估。从20世纪60年代末到2000年的第一季度, 共出现了四个浪潮。尽管早期阶段的论文数量有限, 但在最后一个浪潮中, 研究主题的数量和类别均呈现出爆炸式增长。在每个浪潮中, 均有新的研究主题被引入, 使得研究广度得以拓宽。

本研究的讨论结果仅基于自1969年以来用英文发表的科学论文, 不包括书籍。后续研究应考虑不同语言发布的所有论文和书籍, 以获得全球范围内最广泛的评估图景。

对行业从业者和政策制定者的建议集中在审慎评估旅游服务营销趋势及其未来可能的变化上。这可能有助于从业者和政策制定者在未来发展背景下重新设计其服务和营销策略。

本研究延续了Kozak（2023）最近发表的以行业视角为主的研究, 从学术角度全面考察了旅游营销领域内所有被研究主题的学术轮廓。具体而言, 本论文概述了过去六十年间已发表研究框架中的事实和趋势, 为研究人员提供可遵循的指导。

Los antecedentes académicos del marketing turístico se remontan a la década de 1960. Hasta principios de la década de 1990 se produjo un ligero aumento de su capacidad. Sin embargo, desde entonces ha experimentado un gran auge, alcanzando miles de artículos de revistas y decenas de libros publicados solo en inglés cada año. Por lo tanto, este estudio pretende presentar cómo ha progresado académicamente el marketing turístico en los últimos 60 años, a lo largo de cuatro oleadas, y cómo este progreso puede avanzar como la siguiente oleada en el futuro.

Un análisis bibliométrico fundamenta este estudio, en el que se caracteriza el pasado y el presente de la investigación en marketing turístico y se anticipa el futuro. Para identificar los grupos temáticos y sus conexiones se adoptaron análisis de contenido, como nubes de palabras y análisis de redes sociales. De Scopus se extrajeron nueve mil doscientos treinta y nueve artículos publicados entre 1969 y 2024. Se utilizaron paquetes de software, como VOSviewer, para determinar las conexiones dentro de los temas.

Hemos evaluado los resultados a grandes rasgos. Hubo cuatro oleadas, desde finales de los años sesenta hasta el primer trimestre de 2000. A pesar del limitado número de trabajos de las primeras oleadas, en la última se produjo un auge y una diversificación del número y la categoría de los temas estudiados. En cada oleada se añadieron nuevos temas para ampliar el panorama.

El análisis de los resultados se basa únicamente en los artículos científicos publicados en inglés desde 1969, pero excluye toda la lista de libros de texto. En futuras investigaciones deberían incluirse todos los artículos y libros de texto publicados en otros idiomas para ofrecer un panorama lo más amplio posible a nivel mundial.

Las recomendaciones para los profesionales del sector y los responsables políticos se centran en evaluar con detenimiento las tendencias en la comercialización de los servicios turísticos y en cómo pueden evolucionar en un futuro próximo. Esto puede ayudar a los profesionales y a los responsables políticos a rediseñar sus servicios y estrategias de marketing teniendo en cuenta la evolución futura.

Este estudio se basa en uno anterior, publicado recientemente por Kozak (2023), que se desarrolló específicamente desde la perspectiva de la industria. El presente estudio examina el perfil académico de todos los sujetos estudiados en el caso del marketing turístico, pero principalmente desde una perspectiva académica. En consecuencia, en este trabajo se esbozan los hechos y tendencias que los investigadores pueden seguir a lo largo del marco de investigación publicado en las últimas seis décadas.

Tacit and explicit knowledge sharing play crucial roles in today’s rapidly changing business environment, particularly in fostering innovation. However, uncovering tacit knowledge sharing remains complex. The purpose of this study is to analyze the mediating roles of tacit and explicit knowledge in the relationship between a knowledge-sharing culture and organizational creativity.

In this study, the authors developed an extended analytical process to analyze the impact of explicit and tacit knowledge on a knowledge-sharing culture and organizational creativity. This process combines two analytical techniques: necessary condition analysis (NCA) and partial least squares structural equation modeling (PLS-SEM). NCA identifies essential bottlenecks for a specific outcome, while PLS-SEM uncovers strong connections between predictor and outcome variables. The authors applied these analyses to a sample of 155 IT experts from a leading telecom company in the Turkish ICT industry to test the relevant hypotheses.

The findings of this study indicate that tacit knowledge, rather than explicit knowledge, partially mediates the relationship between a knowledge-sharing culture and organizational creativity. This mediating role of tacit knowledge is particularly pronounced in the ICT sector. Additionally, the impact of organizational capabilities on organizational creativity is amplified by higher levels of tacit knowledge sharing.

The effect of organizational capabilities on organizational creativity was found to increase because of tacit knowledge sharing compared to explicit knowledge sharing, depending on the knowledge-sharing climate.

Teaching models in higher education entrepreneurship programs affect students’ entrepreneurial intentions. Yet evidence related to their effects on long-term venture creation remains limited. Past research on the effects of teaching models on entrepreneurship has focused narrowly on entrepreneurship education programs. The present study moves beyond this past narrow focus to study teaching model effects on new venture creation across a broad array of higher education programs.

We assess the effects of teaching models on new venture creation across 35 educational programs (entrepreneurship and other business programs) at a large Danish business school, tracing venture creation data for 5 years after graduation (N = 4,717).

Competence-based teaching models positively impact graduates’ long-term new venture creation across all programs, with no differences between entrepreneurship vs other types of programs.

These findings carry implications for both education and entrepreneurship research, as well as policymakers and educators, by pointing toward ways of impacting postgraduate business venturing through teaching model reforms extending beyond entrepreneurship education.

For the first time, we find effects of competence teaching models on postgraduation new venture creation across a broad array of business administration programs. The results are novel in documenting that teaching models generally impact venture creation in the long term, and that this occurs regardless of whether the program content centers on entrepreneurship or on other business administration content.

This study aims to investigate the impact of artificial intelligence (AI) on customer loyalty in the luxury fashion market. It explores how AI-driven tools influence customer trust, satisfaction, commitment and engagement, which in turn affect loyalty. By examining these relationships, the study provides insights into the acceptance and effectiveness of AI technologies in enhancing customer loyalty within the luxury fashion sector.

This study employs structural equation modelling (SEM) to analyse data collected from 406 luxury consumers in Iran. The data was gathered using a targeted sampling procedure, leveraging DigiKala’s e-commerce platform. A comprehensive literature review informed the measurement items, and a seven-point Likert scale was used. The methodology includes confirmatory factor analysis (CFA) to assess the reliability and validity of the constructs, followed by hypothesis testing through SEM.

The study reveals that AI significantly enhances customer loyalty in the luxury fashion market by positively influencing trust, satisfaction, commitment and engagement. Satisfaction and engagement were found to be key mediators between AI and loyalty, while trust had no direct impact on loyalty. The results underscore the importance of AI-driven personalized experiences in fostering stronger customer relationships and loyalty.

This study is one of the first to explore the impact of AI on customer loyalty in the luxury fashion market, using a comprehensive model that includes trust, satisfaction, commitment and engagement as mediators. It extends the stimulus-organism-response (SOR) and technology acceptance model (TAM) frameworks, offering valuable insights for luxury brands on how AI can be leveraged to enhance customer relationships and loyalty.

This study aims to examine the conceptual and empirical operations of hospitality at its intersections with health care, which includes medical and senior care.

This study conducts a systematic review of literature on hospitality in health care published in hospitality, tourism and leisure journals spanning from 1990 to 2023. A total of 50 studies meeting the inclusion criteria are reviewed, providing insights into how hospitality is conceptualized, its practical implementation and the proposed outcomes in health-care settings.

Hospitality in health care is conceptualized by hospitality scholars in three main ways: as service functions, as a service exchange and as an organizational culture. There is a significant overlap between the notion of hospitality and the concept of person-centered care in gerontology and health-care literature. Also, hospitality contributes positively to patient/resident experiences, organizational performance and societal impacts.

The study is limited by its focus solely on the theoretical and practical aspects of hospitality in health care within hospitality, tourism and leisure journals, excluding relevant literature from gerontological and health-care journals.

Interdisciplinary research requires scholars from different disciplines to develop a common language and understanding of key concepts. This study presents the conceptual and practical domains of hospitality and its relevancy to health-care research and offers future directions to strengthen the interdisciplinary research between hospitality, health care and gerontology.