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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 purpose of this paper is to examine the complex relationships between common bond attachment, common identity attachment, self-esteem and virtual community citizenship behavior (VCCB). This study identifies two broad categories of VCCB: citizenship behaviors directed toward benefitting other individuals (VCCBI) and citizenship behaviors directed toward benefitting the virtual community (VCCBC).

The authors apply partial least squares structural equation modeling to test the hypotheses, using a sample of 388 valid responses.

The results indicate that common bond attachment and common identity attachment have a significant effect on self-esteem, which, in turn, has a significant effect on VCCBI and VCCBC. The results also indicate that common bond attachment has a significant effect on VCCBI, and that common identity attachment has a significant effect on VCCBC.

This study contributes to a better understanding of VCCBs through common identity and common-bond theory, social identity theory and the stimulus-organism-response framework.

Social media fatigue (SMF) has been widely recognized; however, previous studies have included various concepts into a single fatigue construct. Fatigue has typically been explored from the stressor-strain-outcome (SSO) or stimulus-organism-response (SOR) perspectives. To further investigate SMF, the authors split it into the two constructs of exhaustion and disinterest. Furthermore, the authors introduced the concept of emotional labor and identified rules that may affect surface and deep acting strategies.

The authors designed and conducted a survey to collect data from social networking platform users.

Results from 364 users of social networking platforms supported most of the authors' hypotheses. First, most of the display rules affect the choice of deep or surface acting. Second, both types of acting lead to exhaustion, but only surface acting leads to disinterest. Third, discontinuance intention is affected by both types of fatigue.

This study contributes to SMF research by adding more antecedents (deep and surface acting) based on the emotional labor perspective and showing the impacts of communication rules on emotional labor. In addition, this study also distinguishes disinterest-style fatigue from exhaustion.

Employees may see technostress, that is, the stress experienced by individuals as a result of the use of Information and Communication Technology (ICT), as a threat to their jobs. In other words, employees may have a strong sense of job insecurity because of the ICT. This study aims to examine why and when employees might respond to technology-induced job insecurity (techno-insecurity) by engaging in workplace deviance – an activity that is costly for organizations.

The authors apply partial least squares structural equation modeling to test the hypotheses, using a sample of 354 valid responses.

The authors found that job-related technostress creators and technology-related technostress creators are positively associated with techno-insecurity. Techno-insecurity affects deviant behavior by increasing employees' moral disengagement. The authors also found that informal sanctions moderated the relationship between techno-insecurity and moral disengagement, while formal sanctions moderated the relationship between moral disengagement and deviance.

This study contributes to a better understanding of employee techno-insecurity and deviance by expanding the technostress literature and applying moral disengagement theory.

While the literature attends to how customer retention strategies develop relationship quality (e.g. trust), it does not account for the potential mediator (s) in this relationship. The purpose of this paper is to examine the mediating role of brand relationship quality (BRQ) in the relationship between relational bonds and brand loyalty in retail service contexts.

A total of 524 valid questionnaires from respondents aged between 15 and 24 are analyzed using structural equation modeling.

First, BRQ significantly mediates the relationship between relational bonds and brand loyalty. Second, structural bonds are the only driver of attitudinal attachment; social and structural bonds lead to a sense of community. Third, attitudinal attachment is the main influence on both behavioral and attitudinal loyalty.

First, a focus on a single market segment, i.e. 15-24 year olds. Second the dimensions used to measure relational bonds and BRQ might not be applicable to other contexts. Third, does not consider potentially important moderator(s). Fourth, does not distinguish between store and product brands.

This study makes the following contributions to the literature: First, demonstrates the importance of BRQ as a mediator in the relationship between relational bonds and brand loyalty. Second, elucidates the role of BRQ in establishing brand loyalty in three theoretical frameworks applied to retail service contexts. Third, suggests a more comprehensive view of brand loyalty involving both behavioral and attitudinal dimensions. Fourth, proposes the managerial implications of this work for the customer retention strategies of retail service firms.

The success of retail service innovations is contingent upon a thorough understanding of the antecedent factors that drive adoption intention. Using the example of a novel kiosk technology, the purpose of this paper is to analyze the antecedents of kiosk use intention and to find out how perceptions of antecedent factors vary among potential and early adopters.

Based on the “Unified theory of acceptance and use of technology” and the technology readiness (TR) concept, the proposed framework identifies several factors underlying adoption intention. The framework is tested on potential and early adopters of a kiosk system recently launched by Taiwan's largest convenience retailer.

Results show that while performance expectancy, effort expectancy, facilitating conditions and social influence impact overall use intention, the perceptions of these antecedents vary significantly between potential versus early users. Further, individual TR does not intervene with technology perceptions.

Retail practitioners can use the findings to more effectively target these two important adopter segments and to prioritize their technology investments.

Most of extant technology adoption researches assume that factors driving adoption behaviour remain constant as diffusion progresses. This work joins a limited number of studies, which propose a dynamic nature of antecedent factors. The paper shows how perceptions of antecedent factors differ among potential and early users of a novel kiosk system. Overall, this paper emphasizes the need for a more segmented‐oriented approach in the promoting of innovative retail technologies.