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Past research has advanced a plethora of theoretical arguments on the effect of family ownership on firms’ international expansion and produced mixed empirical results. It is argued that the oversimplified way in which researchers have examined theoretically and tested empirically business families’ socioemotional priorities may explain the state of fragmentation in the literature. This study aims to investigate the differential effects of restricted (short-term and family-centric) versus extended (long-term and business-centric) socioemotional priorities on the extent of family firms’ internationalization to capture more nuanced aspects of the socioemotional wealth concept.

The authors test the hypotheses through OLS regressions on a sample of 287 family firms.

The authors find that restricted family-centric socioemotional priorities and extended socioemotional priorities related to the establishment of long-term relationships with business partners are negatively associated with the extent of family firms’ internalization. They also find that extended socioemotional priorities related to long-term orientation and transgenerational control intentions are positively associated with international expansion and that this effect is stronger for younger family firms.

This study disentangles the differential effects of two kinds of socioemotional priorities on family firms’ internationalization, thus developing more fine-grained theoretical arguments about the socioemotional drivers of family firms’ behavior. In addition, the authors directly measure socioemotional priorities instead of relying on indirect governance measures.

This study analyzes whether industry relatedness between a corporate borrower and its group peers significantly affects that firm's borrowing cost.

A regression analysis is run on bank-loan data of a sample of Indonesian companies for 2010–2020. The main variables of interest are the natural logarithms of the borrowing firm's number of affiliates classified within either similar 2- or 4-digit GICS industries, and the Caves weighted index of these firms' related diversification. This index measures how firms in a group are diversified in relation to the borrower. The dependent variable is the all-in credit spread, stated in basis points, over the LIBOR or similar benchmark, as of the loan issuance date.

Findings support the industry-relatedness hypothesis and contradict the risk-reduction hypothesis and show that banks charge lower loan spreads on a borrowing firm that either operates within a similar industry as its affiliate or diversifies into related sectors or industries. Consistent with the co-insurance-effect hypothesis, the results also underline the importance of the parent and first-layer firms as supporting instead of the tunneling vehicles within business groups. These conclusions hold even after segregating the sample and using the loan maturity as the dependent variable.

This study uses a unique diversification measurement based on the borrowing firm's sector or industry, relative to other group members, and offers new insights on business group diversification and bank loan costs.

This study aims to develop a modelling framework of housing supply dynamics within the context of urban microsimulation systems. Housing markets have witnessed substantial investigation over recent decades, predominantly concerning residential demand. However, comparatively limited attention has been directed towards comprehending the housing supply dynamics. Housing policy disconnects with the developers’ market behaviours, which leads to significant mismatch between the housing construction and affordable housing needs of the population. Research attention should be made in comprehending the residential construction market activities. To address this gap, this study developed an autoregressive distributed lag (ARDL) model and analyzed the temporal evolution of housing construction.

An ARDL model was developed to address the issue of temporal modelling of the housing supply. An empirical study was conducted in the Greater Toronto and Hamilton Area (GTHA) based on a longitudinal housing starts data set from 1998 to 2020. The model integrates diverse variables, including macroeconomic conditions, property development costs, dwelling prices and opportunity costs. Notably, the model captures both the path-dependent effects stemming from supply market fluctuations and the temporal lag effect of influential factors.

The findings reveal that the supply-side’s responsiveness to market condition alterations may span up to 18 months. The model has reasonable and satisfying performance in fitting the observed starts. The methodological foundations laid will facilitate future modelling of housing supply dynamics.

This study innovatively separated the modelling of housing supply within the context of urban microsimulation, into two parts, the modelling of housing starts and completion. The housing starts are determined in a complex and regressive process influenced by both the micro-economic environment and the construction cost and housing market trends. Through the temporal modelling method, this study captures how long it would take for the housing supply to respond to multiple factors and provides insight for urban planners in regulating the housing market and leveraging various policies to influence the housing supply.

For this paper, the authors focus on Porter’s competitive advantage. Hybrid strategy refers to how a firm creates value vis-à-vis competitors by simultaneously relying on lower costs and greater differentiation to achieve a competitive advantage. This strategy emphasises both and aims to provide much more monetary value to customers through the combination of reduced cost and a higher rate of differentiation. In addition, this research focuses on family small and medium-sized enterprises (SMEs), because they have particularities arising from the incorporation of family members both as owners of the SME and in managerial positions. The porpose of this study is to analyse whether the existing differences produced by the role of the family in strategic decision-making and the concentration of family power have a higher impact on performance and innovation than non-family SMEs.

Structural equation modelling was used to analyse Spanish firms with fewer than 250 employees. This study randomly selected SMEs operating in Spain from the Spanish Central Business Directory (2021) database. The overall sample design was based on stratified sampling.

SMEs are facing new challenges, and this has led to the emergence of new competitive strategies. Companies have started to combine differentiation strategies with cost strategies to achieve superior performance and better adapt to these changes. This study confirms a positive relationship between the adoption of hybrid strategies and market performance in SMEs. In addition, hybrid strategy reinforces innovation, which has a mediating role between hybrid strategy and market performance. Finally, the findings indicate that family SMEs achieve a greater impact of hybrid strategy on innovation than non-family SMEs. Moreover, innovation plays a mediating role only in the case of family firms, which enhances the relationship between hybrid strategy and market performance.

For SMEs to survive in turbulent environments, this study proposes the adoption of hybrid strategies instead of pure strategies. The novel model links hybrid strategy (as opposed to “stuck in the middle”), innovation and market performance. The research is valuable for owners and managers of family SMEs because this study finds differences in the relationships studied compared to non-family SMEs.

Although the interest in firm media sentiment has been increasing, the impact of news media sentiments on consumers’ perception of firms’ offerings and, subsequently, their sales remain unknown. This study aims to address this research question in this study. Furthermore, the authors consider the role of two boundary conditions, i.e., offerings’ similarity and offerings’ service ratio, that moderate the main relationship.

Using a comprehensive and novel data set of over 900 firms between 2009 and 2019 from multiple sources, this study addresses the research questions. The authors use a fixed effects panel regression model to estimate the model.

A firm’s news media sentiments can influence consumers’ perception of the corporate brand, thereby driving sales growth. This study finds that when a firm’s offerings are not differentiated from its competitors, news media sentiments become more important and so does when a firm offers more services than a product.

To the best of the authors’ knowledge, this study is the first to assess customers’ responses as manifested in the sales growth of a firm’s offerings, using both primary and secondary data and analysis.

The findings provide actionable insights to managers by identifying specific offerings-related attributes – similarity and service ratio – where media sentiments play a critical role in influencing sales growth.

While existing studies in marketing have primarily considered user-generated social media sentiments, this study departs from this literature by investigating earned media sentiments through traditional media outlets such as newspapers and business magazines, which have rarely been studied in marketing.

While different attempts have been made to use artificial intelligence (AI) to codify communicative behaviors and analyze startups’ video presentations in relation to crowdfunding projects, less is known about other forms of access to entrepreneurial finance, such as video pitches for candidacies into startup accelerators and incubators. This research seeks to demonstrate how AI can enable the startup selection process for both entrepreneurs and investors in terms of video pitch evaluation.

An AI startup (Speechannel) was used to predict the outcomes of startup video presentations by analyzing text, audio, and video data from 294 video pitches sent to a leading European startup accelerator (LUISS EnLabs). 7 investors were also interviewed in Silicon Valley to establish the differences between humans and machines.

This research proves that AI has profound implications with regards to the decision-making process related to fundraising and, in particular, the video pitches of startup accelerators and incubators. Successful entrepreneurs are confident (but not overconfident), engaging in terms of speaking quickly (but also clearly), and emotional (but not overemotional).

This study not only fills the existing research gap but also provides a practical guide on AI-driven video pitch evaluation for entrepreneurs and investors, reshaping the landscape of entrepreneurial finance thanks to AI. On the one hand, entrepreneurs could use this knowledge to modify their behaviors, enabling them to increase their likelihood of being financially backed. On the other hand, investors could use these insights to better rationalize their funding decisions, enabling them to select the most promising startups.

This paper makes a significant contribution by bridging the gap between theoretical research and the practical application of AI in entrepreneurial finance, marking a notable advancement in this field. At a theoretical level, it contributes to research on managerial decision-making processes – particularly those related to the analysis of video presentations in a fundraising context. At a practical level, it offers a model that we called the “AI-enabled video pitch evaluation”, which is used to extract features from the video pitches of startup accelerators and incubators and predict an entrepreneurial project’s success.

This study examines the moderating role of female directors on the relationship between the firms’ characteristics and tax avoidance in an emerging economy.

This study employs the second-generation unit root test and the generalised method of moments (GMM) techniques. The Kao residual cointegration test corroborates a long-run cointegration among variables.

Female directors demonstrate mixed and unusual findings. No significant impact of female directors on tax avoidance is found. In addition, the presence of female directors does not show any negative or significant moderating impacts on the relationship between leverage, firm age, board size and tax avoidance. However, having more female directors can negatively and significantly moderate the relationship between more profitable firms, larger firms and tax avoidance. These findings show that the board of directors could use the presence of female directors to maximise their opportunistic behaviour, such as to avoid tax.

Research limitations – The study is limited by considering only 62 listed firms. The scope could be extended to include non-listed firms.

Research implications – There is increasing pressure for female directors on boards from diverse stakeholders, such as the European Commission, national governments, politicians, employer lobby groups, shareholders, and Fortune and Financial Times Stock Exchange (FTSE) rankings. This study provides input to decision-makers putting gender quota laws into practice. Our findings can help policy-makers adopt regulatory reforms to control tax avoidance practices and enhance organisational legitimacy. Policymakers can change their policy to include female directors up to the threshold suggested by the critical mass theory.

This is the first attempt in Bangladesh to explore the role of female directors in the relationship between the firms' characteristics and tax avoidance. The current study has significant ramifications for bringing gender diversity into practice as a component of good corporate governance.

This paper aims to examine the role of bullying victimization in predicting psychopathology, encompassing post-traumatic stress disorder (PTSD), risk of developing prodromal psychosis and emotional and behavioural problems, among in-school Nigerian adolescents.

A total of 351 junior secondary students (n = 173 males, 178 females; age range: 9–17 years) were recruited from five randomly selected public secondary schools in Nigeria. Students completed a variety of self-report measures, including a socio-demographic questionnaire, the prodromal questionnaire – brief version, the strengths and difficulties questionnaire (SDQ) and the multidimensional peer victimization scale. They were also interviewed using the PTSD module of the Mini International Neuropsychiatric Interview-Kid Version.

Although bullying victimization was not found to predict the presence of PTSD, it predicted the risk of developing prodromal psychosis. All SDQ subscales also held significant positive associations with bullying victimization. This indicates that higher levels of victimization are associated with increased behavioural and emotional difficulties among adolescents.

The study findings add support to whole system approaches involving relevant stakeholders in health, education, social and criminal justice sectors via protective policies to address the problems of bullying in schools.

The study contributes to evidence demonstrating a need for improved understanding regarding the role of exposure to bullying victimization in predicting various forms of psychopathology. Furthermore, there is specifically a need for research with this focus in developing countries in sub-Saharan Africa and the Nigerian education system.

Previous studies have identified concerns and anxiety in individuals who are without their mobile phones, which is known as nomophobia, an acronym for “no mobile phone phobia.” However, there is currently limited evidence of qualitative research that explores nomophobia. The purpose of this study is to explore personal experiences and individual meanings associated with mobile phone use and nomophobia.

To address this gap, the present study employed a Heideggerian phenomenological approach to investigate the issue. Ten college students, who have medium to high nomophobia were selected as respondents. Semi-structured interviews were conducted to collect data, which were then transcribed verbatim and analyzed using reflexive thematic analysis.

A deep understanding of the psychological dynamics, experiences, meanings, perceptions and beliefs of individuals regarding smartphone use can only be explored through a qualitative approach that presents personal statements of individuals through in-depth semi-structured interviews. This study contributes to a deep understanding of the psychological dynamic of nomophobia.

This study has limitations that must be carefully considered. First, the respondents came from a university with a sample size of 10 people, which may not fully represent the phenomenon of nomophobia among students due to differences in cultural and academic backgrounds. However, we addressed this limitation by selecting only students who scored moderate to high levels of nomophobia. Second, the researchers acknowledge that the sample used in the study may not be fully representative of the broader target population or a larger group, as previously mentioned. Therefore, generalizing the findings of this research must be done carefully, being cautious and thoughtful to avoid hasty conclusions.

In the functional context, it is recommended for individuals to be more mindful of their smartphone usage and strive to strike a balance between utilizing their device's capabilities for productive purposes and avoiding excessive dependency that may lead to distractions or information overload. This includes limiting excessive smartphone usage for entertainment purposes, restricting aimless and irrelevant Internet browsing and implementing effective time management when using smartphones. For smartphone users from the ontological context, the advice is to critically evaluate their digital presence and ensure that their online activities align with their true values and self-perception, promoting responsible and ethical smartphone use. Engaging in fasting or break sessions by completely turning off the smartphone at specific times and utilizing that time for activities such as reading books, writing and engaging in spiritual practices, or exercising is also advisable. In the anthropomorphic context, individuals are advised to reflect on the potential emotional dependence on their smartphones and consider establishing healthy boundaries to avoid excessive reliance on these devices to fulfill emotional needs. One practical recommendation is to engage in self-reflection, where individuals take some time to ponder their smartphone usage patterns and emotional attachment to the device. They should ask themselves why they feel the need to constantly check their phone and how it impacts their emotions and overall well-being.

This study contributes to a deep understanding of the psychological dynamics of nomophobia by exploring the experiences, meanings, perceptions, and beliefs of individuals regarding smartphone use.

In the context of the contemporary globalized environment and the rapid progression of Industry 4.0, the existing literature suggests that national intellectual capital does play a significant role in shaping diverse economic metrics. However, the connection between national intellectual capital and total factor productivity (TFP) has been largely overlooked. This paper examines the effect of national intellectual capital on productivity across 84 countries, encompassing diverse income levels, human development index (HDI) levels and continents.

This study utilizes dynamic ordinary least squares (DOLS), fully modified ordinary least squares (FMOLS), two-stage least squares (2SLS), generalized method of moments (GMM) and pooled mean group (PMG) estimation techniques on a sample of 84 economies from 2000 to 2019.

The results reveal a significant effect of national intellectual capital on productivity. Countries with robust intellectual capital exhibit enhanced productivity and, by extension, sustainable economic growth. The findings are nuanced, illustrating varied impacts across low, middle and high-income countries and offering insights into tailored strategies for each income group. Nations with lower HDI levels derive significant benefits from investments in intellectual capital, whereas higher HDI countries experience lower returns in productivity gains from additional intellectual capital investments. Interestingly, Latin America exhibits a paradoxical negative effect of national intellectual capital on TFP.

This paper makes a significant contribution to the literature by extending the discourse on intellectual capital to the national level, an area that has been relatively underexplored. The comparative analysis across income groups, human development index levels and continents enriches the understanding of the multifaceted impacts of intellectual capital on productivity. These insights are valuable for policymakers, researchers and international development agencies, providing a comprehensive perspective on how intellectual capital influences productivity in diverse economic and developmental contexts.

To the best of our knowledge, this is the first empirical study to investigate the impact of national intellectual capital on productivity across 84 countries, considering diverse income levels, HDI levels and continents.