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The purpose of this paper is to inform readers who are interested in textbooks, sports and sports economics, but especially professors who teach sports economics, about the coverage of sports in principles of economics textbooks.

The data in the paper consist of the 130 sections on sports from twenty-one principles of economics textbooks. The paper illuminates the sections using numerous quotations and in-text references. The paper details the number of sections devoted to each sport, economic concepts they illuminate and how the text covers topics such as league rules, broadcast revenues and women in sports.

The paper finds that the 21 textbook authors devote an average of 934 words in an average of 6.2 sections of text to 11 sports. Sections of text vary from one sentence to lengthy discussions of topics such as increased salaries due to technological advances in broadcasting, antitrust cases, the gender pay gap and bargaining between leagues and players' unions. The authors refer to five published research papers on sports economics, two quantitative books, two quantitative articles in the popular press and one nonquantitative nonfiction book.

This paper provides data to researchers who study sports regarding topics that students are being taught in economics texts. It is a potential tool for connecting their areas of research to the university experience.

Sports economics professors, and other professors, may enhance student interest by a choice of text for their principles classes.

Sports coverage in principles texts illuminates topics such as the effect of technology on income distribution, the morality of paying college athletes, the interaction of the legal system and markets and the gender gap.

No other publicly referenced paper details the use of sports in principles textbooks.

Employee readiness for change is essential for long-term organizational success. However, organizations often struggle to generate employee support for change as they fail to mitigate associated uncertainties. Studies exploring possible antecedents of employee readiness for change primarily focus on internal organizational practices, while external practices have been overlooked in the discussion. Drawing from uncertainty reduction theory, we examine how external organizational practices in terms of external CSR positively affect readiness for change.

In a survey of 377 employees from 29 German companies, we test the hypothesized chain of effects between external CSR, perceived organizational support, perceived uncertainty, and readiness for change by using structural equation modeling.

Results from structural equation modeling demonstrate a positive relationship between external CSR and readiness for change, which is sequentially mediated by perceptions of organizational support and uncertainty.

By highlighting the role of external organizational practices in promoting change readiness, the paper offers new insights into the mechanisms of effective change management.

Consumers may enjoy the information sharing and social support made available when a social media platform is used for pre-purchase research; however, do consumers reevaluate the privacy and security of the platform differently when ordering and payment capabilities are added? As social media systems have evolved into social commerce platforms (SCPs), individuals are often faced with whether to complete a purchase they have been researching or switch to a traditional e-commerce platform to complete the transaction. This research examines consumer trust formation in the SCP channel and how consumer interest and engagement in the channel are maintained and influence consumer decisions to purchase via the SCP.

Based on trust and involvement literature, a research model was conceptualized to capture consumer beliefs about SCP privacy and security and whether the SCP can be trusted, using these inputs into subsequent consumer interest, engagement and decisions on whether to use the SCP for purchasing. The research model was empirically tested using the panel data's structural equation modeling (AMOS) (n = 405). The data showed acceptable reliability and convergent validity, while the original research model provides predictive validity and theory-confirming insights.

Results confirm that consumer perceptions of privacy and security play a crucial role as decision criteria, informing their judgments of whether a new social commerce channel can be trusted enough to conduct purchases. Further, consumer trust supports their interest in the SCP, resulting in enduring and enhanced behavioral use and, to a lesser extent, purchase intent. Still, a majority of this sample declined to purchase using the SCP and rather preferred to transact on tried and trusted traditional e-commerce sites.

This study is among the first to examine trust formation in new SCPs, where consumers are deciding to expand their engagement level from social and informational to commercial.

Research in the domain of behavioral finance has proven that investors demonstrate irrational behavior while making investment decisions. In a similar domain, the primary objective of this research is to prioritize the behavioral biases that influence cryptocurrency investors' investment decisions in the Indian context.

A fuzzy analytic hierarchy process (F-AHP) was used to prioritize the behavioral factors impacting cryptocurrency investors' investment decisions. Overconfidence and optimism, anchoring, representativeness, information availability, herding, regret aversion, and loss aversion are among the primary biases evaluated in the present study.

The findings suggested that the two most important influential criteria were herding and regret aversion, with loss aversion and information availability being the least influential criteria. Opinions of family, friends, and colleagues about investment in cryptocurrency, the sale of cryptocurrencies that have increased in value, the avoidance of selling currencies that have decreased in value, the agony of holding losing cryptocurrencies for too long rather than selling winning cryptocurrencies too soon, and the purchase of cryptocurrencies that have fallen significantly from their all-time high are the most important sub-criteria.

This survey only covered active cryptocurrency participants. Additionally, the study was limited to individual crypto investors in one country, India, with a sample size of 467 participants. Although the sample size is appropriate, a larger sample size might reflect the more realistic scenario of the Indian crypto market.

The study is relevant to individual and institutional cryptocurrency investors, crypto portfolio managers, policymakers, researchers, market regulators, and society at large.

To the best of the authors' knowledge, no prior research has attempted to explain how the overall importance of various criteria and sub-criteria related to behavioral factors that influence the decision-making process of crypto retail investors can be assessed and how the priority of focus can be established, particularly in the Indian context.

Built asset management processes require a long transition period to collect, edit and update asset conditions information from existing data sets. This paper aims to explore and explain whether and how digital technologies, including asset information model (AIM), Internet of Things (IoT) and blockchain, can enhance asset conditions assessment and lead to better asset management.

Mixed methods are applied to achieve the research objective with a focus in universities. The questionnaire aims to test whether the integration of AIM, IoT and blockchain can enhance asset condition assessment (ACA). Descriptive statistical analysis was applied to the quantitative data. The mean, median, mode, standard deviation, variance, skewness and range of the data group were calculated. Semi-structured interviews were designed to answer how the integration of AIM, IoT and blockchain can enhance the ACA. Quantitative data was analysed to define and explain the essential factors for each sub-hypothesis. Meanwhile, to strengthen the evaluation of the research hypothesis, the researcher also obtained secondary data from the literature review.

The research shows that the integration of AIM, IoT and blockchain strongly influences asset conditions assessment. The integration of AIM, IoT and blockchain can improve the asset monitoring and diagnostics through its life cycle and in different aspects, including financial, physical, functional and sustainability. Moreover, the integration of AIM, IoT and blockchain can enhance cross-functional collaboration to avoid misunderstandings, various barriers and enhance trust, communication and collaboration between the team members. Finally, costs and risk could be reduced, and performance could be increased during the ACA.

The contribution of this study indicated that the integration of AIM, IoT and blockchain application in asset assessment could increase the efficiency, accuracy, stability and flexibility of asset assessment to ensure the reliability of assets and lead to a high-efficiency working environment. More importantly, a key performance indicator for ACA based on the asset information, technology and people experience could be developed gradually.

This study can break the gap between transdisciplinary knowledge to improve the integration of people, technology (AIM, IoT and blockchain) and process value-based ACA in built asset management within universities.

“Coliving” is a rapidly developing cohousing typology, characterised by high-density private micro-units integrated with shared, mixed-use amenity spaces. This research examines the interrelationship between spatial configuration, space typologies and the frequency and intensity of copresence within a large coliving building-also known as large-scale purpose-built shared living (LSPBSL).

Using a UK-based case study, quantitative methods drawn from space syntax theory-namely, visibility graph analysis (VGA) and systematically structured ethnographic observations-were adopted to measure visual integration (HH) and copresence.

A positive correlation (r_s = 0.43, p = 0.07) and no statistically significant difference in distribution (V = 76, p = 0.70) was identified between macro- and micro-level visual integration (HH), indicating that “fractality” exists in the building. Positive correlations were also identified between visual (HH) and spatial (1/RRA) integration (r_s = 0.62, p < 0.01); visual integration and copresence frequency (r_s = 0.55, p = 0.12); copresence frequency and intensity (r_s = 0.63, p < 0.01) and copresence intensity (CI) and frequencies of large group interactions.

No existing research examines the relationship between spatial configurations and the frequencies, intensities and patterns of copresence within coliving buildings. Thus, this article contributes to spatial theory by (1) identifying correlations between these variables within an uncharted spatial context, and (2) introducing a novel syntactic concept – “fractality” – alongside a method for its calculation. By identifying the space typologies and spatial configurations that facilitate the greatest opportunities for social encounter, this study also contributes towards our knowledge of shared living environments.

This study aims to support the global initiatives that advocate for ensuring healthy lives and promoting well-being for everyone, regardless of age, while allowing people to stay at their homes as long as they desire. The built environment (BE) plays a crucial role in achieving this, but in some countries, such as the UK, the housing stock has been found to require extensive adaptations to support resident’s health and well-being. While much research has been done on care provisions and later living housing, these solutions are unsuitable for low-population density areas (LPDAs).

The study is encompassed by investigations around a systematic product development guided by the Double-Diamond Design Framework. This research focused on the “Discovery” phase, which involved online in-depth interviews, incorporating elements from the Human-Activity-Space-Technology Model, supplemented by an interactive board to discover key activities, elements and actors involved in supporting strategies for ageing in place.

This paper presents strategies to help people age in place, focusing on LPDAs. The interventions identified in this paper encompass fundamental elements such as layout design and smart home technologies.

The results provide contextualised BE interventions applicable to creating age-friendly communities, focusing on house design and service delivery from a product design approach.

This study aims to address the critical need for innovative financing solutions in the global housing sector, focusing specifically on Malaysia’s distinct housing finance system encompassing both conventional and Islamic loans. The primary objective is to develop a transformative housing finance model that addresses affordability challenges and reshapes the Malaysian housing landscape.

The study presents an alternate housing finance model for Malaysia, integrating lower monthly payments and reduced household debt. Key variables include house price appreciation rates, interest rates, initial guarantee fees and loan-to-value ratios. Inspired by the Help to Buy (HTB) scheme, the model aligns with proven global initiatives for enhanced affordability, balancing payment amounts, loan interest rates and acceptable price thresholds.

The study’s findings promise to address affordability disparities and reshape Malaysia’s housing finance landscape. The emphasis is on introducing a structured repayment plan that offers a sustainable path to homeownership, particularly for low-income families. Incorporating the future value adaptation concept, inspired by reverse mortgages and Islamic finance, enhances adaptability, ensuring long-term sustainability despite economic shifts.

The proposed model promotes widespread access to homeownership, offering practical solutions for policymakers to improve affordability, prompting adaptable risk management strategies for financial institutions and empowering potential homebuyers with increased flexibility.

The study introduces a transformative housing finance model for Malaysia, merging elements from reverse mortgages, Islamic finance and the HTB scheme, offering potential applicability to similar systems globally.