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This study aims to explore the relationship between house prices and time-on-market (TOM) in Silicon Valley. Previous findings have been inconclusive due to variations in property characteristics. This paper highlights the discrepancy between listing and selling prices and identifies differences among housing types such as condominiums, detached houses and townhouses based on housing orientations and customer groups. Additionally, this study considers the impact of the COVID-19 pandemic and the Fed’s interest rate policies on the housing market.

The authors analyze 63,853 transactions from the Bay East Board of Realtors’ Multiple Listing Service during 2018 to 2022. The study uses a multiple-stage methodology, including a nonlinear hedonic pricing model, search theory and two-stage least squares method to address concerns relating to endogeneity.

The Silicon Valley housing market shows resilience, with low-end properties giving buyers more bargaining power without significant price drops. High-end properties, on the other hand, attract more attention over time, leading to aggressive bidding and higher final sale prices. The pandemic, despite reducing housing supply, did not dampen demand, leading to price surges. Post-COVID, price correlations with TOM changed, indicating a more cautious buyer approach toward high premiums. The Fed’s stringent monetary policies post-2022 intensified these effects, with longer listing times leading to greater price disparities due to financial pressures on buyers and shifting dynamics in buyer interest.

Results reveal a nonlinear positive correlation between TOM and the price formation process, indicating that the longer a listed property is on the market, the greater the price changes. For low-end properties, TOM becomes significantly negative, while for high-end properties, the coefficient becomes significantly positive, with effects and magnitudes varying by type of dwelling. Moreover, external environmental factors, especially those leading to financial strain, can significantly impact the housing market.

The experience of Silicon Valley is valuable for cities using it as a development model. The demand for talent in the tech industry will stimulate the housing market, especially as the housing supply will not improve in the short term. It is important for government entities to plan for this proactively.

The Children's Hearings System is a Scottish welfare-based tribunal-based system in which decisions are made about the care and protection of children in conflict with the law and/or in need of additional care and protection. The Covid-19 pandemic resulted in the rapid implementation of a virtual Children's Hearings System. This system, which operated as the sole mechanism through which decisions were made between March and July 2020, continued to be used alongside in-person and hybrid Hearing formats for the duration of the pandemic. Early research into the use of virtual Hearings identified that their use presented significant barriers to participation, particularly in relation to the impacts of digital literacy and digital poverty. However, much of this research focused upon the experiences of adult participants in Hearings and failed to capture the experiences of children. In this chapter, we present findings from a qualitative study designed to explore the impact of virtual Hearings upon the participation and rights of children. In doing so, we demonstrate that virtual Hearings acted as both a barrier and facilitator of children's participation.

This case study aims to investigate and evaluate the operational aspects of a family-owned and managed business in Bangladesh while addressing challenges such as professionalisation, succession planning and innovation. Within this case study, the authors have examined the significance of the Tru Group's journey as a family business, highlighting their transition from a traditional management approach to a modern corporate system. This transformation has had a positive influence on the company's goals and trajectory. Furthermore, the study delves into the decision-making processes and power dynamics among family members within the organisation.

Work-study programmes aim to support young adults transitioning from tertiary education to work and contribute to enhancing their employability. The purpose of this study is to provide a detailed analysis of the learning experiences of trainees in work-study programmes within the broad field of engineering.

The data gathering procedures used interviews with participants of a specific work-study programme and conducting thematic analyses to identify and understand the motivations of these adults for enrolling in work-study programmes and their associated workplace learning experiences. Fifty-two alumni of electrical and logistics engineering programmes completed 12 months of a separate work-study programme and consented to participate in an hour-long interview. They elaborated upon their work-learn experiences to explicate their work-learn needs and challenges in those interviews.

Findings include workplaces facilitated skills development through providing combinations of work tasks comprising both routine and novel work assignments; challenging circumstances at the workplace provided trainees with opportunities to develop adaptive capacities; and engaging in non-routine work processes fosters integration into the engineering workplace community.

The findings contribute to the existing literature by exemplifying how routine engineering activities are practical affordances through which engineering trainees construct knowledge and dispositions for engaging in challenging, non-routine engineering work. Such experiences are crucial in preparing trainees for advanced roles in logistics or electronic sectors.

The purpose of this empirical study was to test whether presenting organizational change in a way that enhances employee self-worth will result in increased employee support for the identified change. In doing so, we developed a new measure, which includes a novel baseline element.

Items were developed, and then categorical validation data were collected through an online cross-sectional survey in which 222 respondents (adults over 18 years of age, and at least 6 months tenure) participated.

Within the items, we framed the activation of self-worth bias as requests for employee comments regarding change efforts. Results indicate there is a difference between asking for employee comment on change efforts, compared to asking for employee comment on change efforts and also providing feedback considerate of that input.

This study explores and presents a convergence between behavioral economics, management and applied psychology research – using both self-worth bias, and organizational change management communications; no other such comparable study or analysis could be found during the preparation of this research effort. Furthermore, a novel measure and innovative method is presented for developing and measuring self-worth bias during organizational change management communications.

This study aims to explore the impact of augmented reality (AR) technologies on consumer information processing and value perceptions in physical stores. Specifically, it investigates how the vividness, novelty and interactivity of AR shape utilitarian and hedonic value perceptions, and influence consumer purchase and continuance behaviour.

The study used the store intercept survey method at 15 retail outlets across four metro cities in India, representing nine prominent retail brands deploying AR technologies. The data collected (n = 650) were subjected to exploratory and confirmatory factor analysis.

Major findings confirm a significant effect of vividness, novelty and interactivity on utilitarian and hedonic value perceptions of in-store AR experiences of customers in physical stores. Hedonic value was found to affect continuance intention but not purchase intention, while utilitarian value was found to affect purchase intention but not continuance.

This study extends the stimulus–organism–response model’s application to AR in physical stores by integrating the impact of vividness, novelty and interaction on both utilitarian and hedonic values and revealing their significance in influencing purchase intentions and continuance.

Major findings advise retailers to increase AR experience adoption in stores and illustrate the process through which purchase and continuance intentions may be influenced.

This is one of the few studies that explore the impact of AR on consumer attitudes and intentions in physical stores. In addition, the study explores the effect of AR tools as a process that passes through value perceptions and then affects the consumer.

This paper aims to explore the issue of product counterfeiting in Türkiye and assess Türkiye’s role in the global supply chain of counterfeit goods. It sheds light on the supply-side dynamics of counterfeiting in the Turkish context.

Interviews were conducted with 46 key experts, including police officers, customs officers and trademark attorneys. The study also incorporated data from a documentary analysis of counterfeit products seized by the Bulgarian Customs.

The findings of this study highlight the significant role of Türkiye in international supply chains, serving as both a manufacturing hub for a wide array of counterfeit products and a crucial transit point for goods bound for European markets. This study suggests that counterfeiting serves as a source of livelihood for many individuals in Türkiye, with counterfeiters often justifying their activities by claiming they contribute to the country’s economy through job creation and the influx of foreign currency.

While qualitative research is essential for exploring nuanced aspects and gaining in-depth insights, it may not provide the statistical robustness and generalizability associated with larger quantitative studies.

This paper is an original contribution to the understanding of product counterfeiting in Türkiye, a major counterfeit-producing country, with potential implications for the future of consumer protection and market integrity.

Under the digital wave and the new industrial competition pattern, the automobile industry is facing multiple challenges such as the redefinition of new technologies and supply chain changes. The purpose of this study is to link big data analytics and artificial intelligence (BDA-AI) with digital supply chain transformation (DSCT) by taking Chinese automobile industry firms as a sample and to consider the role of supply chain internal integration (SCII), supply chain external integration (SCEI) and supply chain agility (SCA) between them.

Data were collected from 192 Chinese firms in the automotive industry and analyzed using partial least squares structural equation modeling (PLS-SEM). Importance-performance map analysis is used to extend the standard results reporting of path coefficient estimates in PLS-SEM.

The results indicate that BDA-AI, SCII, SCEI and SCA positively influence DSCT. In addition, this study found that SCII, SCEI and SCA play an intermediary role in BDA-AI and DSCT.

The paper enriches the research on the mechanism of digital resources affecting DSCT and expands the research of organizational information processing theory in the context of digital transformation. The paper explores how the resources deployed by firms change the strategic measures of firms from the perspective of responsiveness. By exploring the positive impact of SCA as a response capability on the DSCT strategy and its intermediary role between digital resources and DSCT, which is helpful to the further theoretical development of logistics and supply chain disciplines.

Design an innovative Flipped classroom’s Delivery through virtual laboratory.

The fundamental framework of the present investigation is a Participatory Action Research (PAR) design. By merging the impetus of “action.” with the inclusiveness of “participation,” PAR establishes a “network” for collaborative teaching or research. PAR is pertinent to our research because it facilitates the participation of infrastructures and individuals in formulating a critical community. This community encourages critical self-reflection, promotes accountability, redistributes authority, and cultivates confidence in research. PAR fosters constructive transformation in educational environments by utilizing participants' combined insights and experiences to establish a structure for substantive dialogue and proactive measures.

As virtual laboratories are becoming essential in 21st-century science education, we found groundbreaking evidence that can support our novel approach to enhance the quality and equity in education. Our results show that virtual labs engage scientific goals and practices, develop scientific literacy, foster scientific inquiry and problem-solving, and promote metacognition. The effects of the virtual laboratory can develop high self-efficacy and positive attitudes among students. It improves students' laboratory performance, which we noted from laboratory activities, simulations, and long exam results.

The study offers groundbreaking account to depict epistemic fluency aided by virtual laboratory.