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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.

Social network sites (SNSs) have been recognized as an important marketing communication tool for marketers to connect with today's internet‐savvy consumers. At the same time, the popularity of SNSs has become a worldwide phenomenon with the rise of many local SNSs. The purpose of this paper is to examine cultural differences in the use of communication appeals on corporate pages of leading SNSs in two culturally distinct countries, China and the USA.

The study employs a content analysis to identify cultural orientations observed in communication appeals of the corporate pages on leading SNSs in China (Renren) and the USA (Facebook).

Appeals to interdependence, popularity, high social status, luxury, emotions, and symbolic association are more frequently used in societies with a more collectivistic, greater power distance, and high‐context culture such as in China; whereas appeals to individuality and hedonism are more frequently used in an individualistic society like the USA. Overall, findings indicate that communication appeals on SNSs reflect the dominant cultural values in each country.

Despite the numerous hypes and speculations regarding the effectiveness of SNSs as a marketing tool, few studies have explored how marketers use SNSs to interact with consumers. Findings based on this study advance our understanding of marketing communications on social media from a cross‐cultural perspective. The paper provides new evidence indicating that global marketers should adapt their communication strategies and styles when communicating with consumers in different societies on SNSs. The authors also provide guidelines for the localization attempts.

This study presents one of the earliest empirical investigations on how brand chatbots' anthropomorphic design and social presence communication strategies may improve consumer evaluation outcomes via the mediators of parasocial interaction and perceived dialogue.

This study employs a 2 (high vs. low social presence communication) by 2 (anthropomorphic vs. non-anthropomorphic bot profile) between-subject experimental design to evaluate how chatbots' high social presence communication and anthropomorphic profile design may enhance perceptions of parasocial interactions and dialogue with the chatbot, which in turn drive user engagement, interaction satisfaction and attitude toward the represented brand.

The influences of chatbots' high social presence communication on consumer engagement outcomes are mediated by perceived parasocial interaction and dialogue. Additionally, chatbots' anthropomorphic profile design can boost the positive effects of social presence communication via the psychological mediators.

This study advances the interactive marketing literature by focusing on an emerging interactive technology, chatbots. Additionally, distinct from prior chatbot studies that focused on the utilitarian use of chatbots for online customer support, this study not only examines which factors of chatbot communication and profile design may drive chatbot effectiveness but also examines the mechanism underlying the messaging and design effects on consumer engagement. The findings highlight the mediating role of interpersonal factors of parasocial interaction and perceived dialogue.

The aim of this paper is to use a new approach of performance evaluation, grey relation analysis (GRA), which is a concept borrowed from the study of industry and is increasingly applied to commerce. GRA is used to evaluate the relative performance of three of Australia's major banks The result of the study indicates that although the sample size is small and the distribution of data is unknown, GRA can still be successfully used in evaluating bank performance. In addition, this paper compares the GRA results with the financial statement analysis and shows that the same result can be obtained.

E-commerce and social media technologies can significantly benefit the food and beverage industry by reducing costs, streamlining supply activities, and, most importantly, engaging users in active interaction and enhancing social presence. This research aims to propose a model to examine the role of trust and social presence on loyalty in the food and beverage industry. Moreover, the mediating role of trust is the link between social presence and loyalty examined in this study.

A survey has been conducted to examine the structural model. The research model is tested using structural equation modelling (PLS-SEM).

The result indicated the effect of Social presence and Trust in social media on Customer loyalty in the context of online shopping. Our finding contributes remarkable insights into the food and beverage industry, particularly in the COVID-19 era, as more consumers buy through e-commerce platforms.

This study expands the understanding of the role of the managers of social commerce websites in maintaining customer loyalty. Hence, the social commerce site managers can use this finding to develop strategies for building customer trust and, ultimately, customer loyalty.