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This paper brings together research on advertising, family business, and the resource-based view (RBV) of the firm to examine performance differences between publicly traded US family vs non-family firms. The purpose of this paper is to understand the heterogeneity of family vs non-family firm advertising after such firms become publicly traded.

The authors draw on the RBV of the firm, as well as on extensive empirical literature in family business and advertising research to empirically examine the differences between family and non-family firms in terms of performance.

Using panel data from over 2,000 companies across ten years, this research demonstrates that family businesses have higher advertising intensity than competitors, and achieve higher performance returns on their advertising investments, relative to non-family competitors. The results suggest that the “familiness” of public family firms is an intangible resource that, when combined with their advertising investments, affords family businesses a relative advantage compared to non-family businesses.

Family involvement in publicly traded firms may contribute toward a richer resource endowment and result in creating synergistic effects between firm “familiness” and the public status of the firm. The paper contributes toward the RBV of the firm and the advertising literature. Limitations include the lack of qualitative data to ground the findings and potential moderating effects.

Understanding how family firms’ advertising spending influences their consequent performance provides new information to family firms’ owners and management, as well as investors. The authors suggest that the “familiness” of public family firms may provide a significant advantage over their non-family-owned competitors.

The implications for society include that the family firm as an organizational form does not need to be relegated to a second-class citizen status in the business world: indeed, combining family firms’ characteristics within a publicly traded platform may provide firm performance benefits which benefit the founding family and other stakeholders.

This study contributes by highlighting the important influence of family involvement on advertising investment in the public family firm, a topic which has received limited attention. Second, it also integrates public ownership in family firms with the family involvement–advertising–firm performance relationship. As such, it uncovers a new pathway through which the family effect is leveraged to increase firm performance. Third, this study also contributes to the advertising and resource building literatures by identifying advertising as an additional resource which magnifies the impact of the bundle of resources available to the public family firm. Fourth, the use of an extensive panel data set allows for a more complex empirical investigation of the inherently dynamic relationships in the data and thus provides a contribution to the empirical stream of research in family business.

Timebanking is a generalized, voluntary service exchange that promotes use of otherwise idle resources in a community and facilitates community building. Participants offer and request services through the mediation of the timebank software. In timebanking, giving help and accepting help are both contributions; contributions are recognized and quantified through exchange of time-based currency. The purpose of this paper is to explore how users perceive timebank offers and requests differently and how they influence actual use.

This survey study, conducted in over 120 timebanks across the USA, examines users’ timebanking participation, adapting dimensions of Technology Acceptance Model (TAM).

The authors found that perceived ease of use in timebanking platforms was positively associated with positive attitudes toward both requests and offers, whereas perceived usefulness was negatively associated with positive attitudes toward requests and offers. The authors also found that having positive attitudes toward requests was important to elicit behavioral intention to make a request, but that positive attitudes toward offers did not affect behavioral intentions to make offers.

The authors discussed these results and proposed design suggestions for future service exchange tools to address the issues the authors raised.

The study is among the first few studies that examine timebanking participation using large-scale survey data. The authors evaluate sociotechnical factors of timebanking participation through adapting dimensions of TAM.

This study aims to investigate the effect of stock repurchase – firms buying back their own stocks – on firm performance, focusing specifically on the role of marketing capability. The authors also investigate the moderating influence of competitive intensity on this effect. This research sheds light on how marketing capability explains the negative effect of stock repurchase on firm performance, and how this effect varies in different competitive intensity environments.

The authors test their hypotheses using US firm-level longitudinal data collected from a sample set of firms obtained from the Compustat database for the 1989–2015 period. The authors specify a panel data regression model to test the hypotheses.

The authors find that adoption of stock repurchase ultimately results in a decrease in firm performance, through a decrease in marketing capability. The authors also find that the indirect effect of stock repurchase on firm performance is moderated by firm competitive intensity, such that at higher levels of competitive intensity, the negative relationship between stock repurchase and marketing capability will become amplified and at lower levels of competitive intensity, the negative relationship between stock repurchase and marketing capability will get attenuated.

This study indicates that the risk from stock repurchase is the diversion of funds from other beneficial activities such as marketing budgets, leading to lowered marketing capability.

This study's results will help managers improve their understanding of the dark side of the stock repurchase strategy and help take corrective action.

The present study empirically tests the effects of stock repurchase on marketing capability and firm performance.

The primary aim of this study is to resolve a longstanding debate concerning the impact of takeover premiums on post-acquisition performance. Specifically, we aim to examine how acquirers' marketing capabilities and payment methods moderate the relationship between takeover premiums and post-acquisition performance.

This study employs linear regression to examine the relationship between acquirers' marketing capabilities, payment methods, takeover premiums and post-acquisition performance in the Chinese manufacturing industry. Data for the analysis were collected from both mergers and acquisition (M&A) announcements and the China Stock Market & Accounting Research Database (CSMAR), covering 1,169 acquisitions from 2012 to 2021.

The results indicate that acquirers' marketing capabilities moderate the impact of takeover premiums on post-acquisition performance. When acquirers possess strong marketing capabilities, takeover premiums increase post-acquisition performance. Conversely, when acquirers lack strong marketing capabilities, takeover premiums are not significantly related to post-acquisition performance. Additionally, it is noteworthy that takeover premiums show a positive correlation with post-acquisition performance, irrespective of the payment methods employed by acquirers for target firms.

Given that takeover premiums are essential for acquiring resources from target firms, it is crucial to maximize the value of these acquired resources. Our findings suggest that acquirers with weaker marketing capabilities before the deal should consider a more conservative approach to pricing target firms.

This paper aims to examine the prevalence of informed trading around corporate spinoffs and the relation between firm opacity and informed trading using option market data.

The author investigates the prevalence of informed trading by examining the relationship between abnormal stock returns associated with spinoffs and the volatility spread/volatility skewness of options prior to the spinoffs. Furthermore, the author examines how opacity and organizational complexity prior to the spinoffs affect informed trading.

The study shows that option volatility spread and volatility skewness for the five days prior to the spinoffs can predict the abnormal stock returns on the spinoff announcement days, suggesting that there is informed trading in the options market prior to spinoffs. The study shows that informed trading is more prevalent for firms that are more opaque prior to the spinoff. Furthermore, informed trading decreases after spinoffs.

To the best of knowledge, this is the first empirical research that examines the prevalence of informed trading around spinoffs by using options volatility spread/skewness and the relation between firm opacity and informed options trading.

This paper develops a smart system based on the concept of Industry 4.0 to prevent customer dissatisfaction. The value of this prevention system is that it enables hoteliers to interact with customers by understanding what they like/dislike from their behaviors via data analysis. Therefore, this system helps hoteliers to enhance service quality by predicting service issues.

The system, named the dissatisfaction identification system (DIS), is developed. A total of 127 service items were examined by a hotel manager who preset the threshold values for the measurement of service quality. A big data set for the questionnaire survey is statistically generated by a pseudorandom number generator and 10,000 mock data sets are taken as input for comparison.

The results indicated that 36 out of 127 service items are identified as service issues for the participating hotel. Examples include customer code number 01d, “Space of parking lot is adequate” in the safety management category, and number 05a, “A hotel's service time meets my needs” in the front office service category. The items identified require improvement action plans for preventing customer dissatisfaction.

This paper offers a new perspective paper emphasizing customer dissatisfaction using a big data-driven technology system. The DIS, prevention system, is developed to aid hotels by enhancing their relationships with customers using a data-driven approach.

The purpose of this study is to propose an innovative methodology in solving the lean production design from semiconductor crystal-ingot pulling manufacturing which is an important industry. Due to the complexity of the system, it is computationally prohibited by an analytical approach; thus, simulation optimization is adopted for this study.

Four control factors that affect the system’s performance, including the pulling strategy, machine limitations, dispatching rules and batch-size control, are identified to generate the future-state value stream mapping. Taguchi two-step procedure and simulation optimization are used to determine the optimal parameter values for a robust system.

The proposed methodology improved the system performances by 6.42 and 12.02 per cent for service level and throughput, respectively.

This study does not investigate operations management issues such as setup reduction, demand forecasting and layout design.

A real-world crystal-ingot pulling manufacturing factory was used for the case study. The results are promising and are readily applied to other industrial applications.

The improved performances, service level and throughout rate, can result in an improved customer satisfaction level and a reduced resources consumption, respectively.

The proposed methodology innovatively solved a practical application and the results are promising.

Social networking sites (SNSs) offer people the possibility of maintaining larger networks of social ties, which also entails more complex relationship maintenance across multiple platforms. Whom to “friend” and via which platform can involve complex deliberations. This study investigates the relationships between users' perceived friending affordances of five popular SNSs (Facebook, Twitter, Instagram, Snapchat and LinkedIn) and their friending behaviors concerning strong ties, weak ties (existing and latent ties) and parasocial ties.

An online survey using Qualtrics was provided to participants (N = 626) through Amazon's Mechanical Turk (MTurk). The survey asked their SNS use and their friending behaviors with different ties on each of the sites.

Users' friending decisions are dependent on an interplay of socio-technical affordances of each SNS and specific needs for the ties. The authors found that the affordances of bridging social capital and enjoyment are aligned with friending weak and parasocial ties, respectively. The affordances of bonding social capital were not valued to friend strong ties.

The study extends the affordance and social capital literature by assessing users' perceived, contextualized SNS affordances in relation to actual communication behaviors in friending different social ties. This approach provides contextualized insights to friending decisions and practices on SNSs.

In a world where different communication technologies support social connection, managing unavailability is as important as, if not more important than, managing availability. The need to manage unavailability becomes increasingly critical when users employ several communication tools to interact with various ties. A person's availability information disclosure may depend on different social relationships and the technologies used by the person. The study contributes to the literature by drawing on privacy management theory to investigate how users practice availability management and use its deceptive form, which is sometimes called a butler lie, with various ties across different messaging applications (apps) as part of their online privacy. Relevant factors in mediated communication, including facework, common ground, and interpersonal trust, are included in the developed model.

The authors conducted an online survey (n = 475) to explore the relationship between one's contact with different interactants (significant others, family members, close friends, acquaintances, groups of friends, and groups of acquaintances) and one's practice of availability management and use of butler lies with these interactants at different size levels on various messaging apps.

Factors such as facework, privacy related to technology, and privacy related to social relationships affect the practice of availability management and the use of butler lies. Notably, butler lies are used most frequently with acquaintances and groups of acquaintances and least frequently with significant others. Moreover, the practice of availability management and the use of butler lies are negatively moderated by people's conversational grounding and trust.

The study examined the practice of cross-app availability management with diverse social ties on mobile technologies, which is a socio-informatic practice that is widely adopted in the contemporary digital landscape but on which limited scientific and theoretic research has been conducted. No research has directly investigated users' availability management across multiple apps from a relational perspective. Building on the theoretical framework of privacy management, the paper aims to bridge the gap in the relevant literature. The results of this study can serve as a reference for library professionals to develop information literacy programs according to users' availability management needs. The results also provide insights to system designers for developing messaging tools.

This study investigates the impact of corporate social responsibility (CSR) on corporate innovation. We selected the listed nonfinancial firms of South Asian Economies. The sample of the study comprised a total of 426 listed manufacturing firms of South Asian Countries for period spans 10 years from 2012 to 2021. In this study, descriptive statistics, multicollinearity diagnostic tests, correlation analysis and two-step dynamic panel system generalized method of moments (GMM) were applied to analyze the data. CSR measured with three proxies' social indicators, environmental indicators, and CSR composite index of social and environmental indicators. However, corporate innovation is captured with number of citations received in a year and number of patents filed in the year. Overall, findings of the study using all measures of CSR shows that CSR significantly and positively related with corporate innovation. Our results find support for CSR-innovation view with all measures of CSR. The findings suggest that the current study is helpful for managers, regulators, policymakers, and researchers. For managers, the study helps them to make the CSR and innovation decision. The policymakers should take appropriate innovative decision while considering factors such as CSR. This study can also be extended by considering this study for developed and emerging economies sample.