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There is a need for precollege learning designs that empower youth to be epistemic agents in contexts that intersect burgeoning areas of computing, big data and social media. The purpose of this study is to explore how “sandbox” or open-inquiry data science with social media supports learning.

This paper offers vignettes from an illustrative youth study case that highlights the pedagogical prospects and obstacles tied to designing for open-ended inquiry with computational data science to access or “scrape” Twitter/X. The youth case showcases how social media can be taken up productively and in ways that facilitate epistemological agency, an approach where individuals actively shape understanding and knowledge-creation processes, highlighting the potentially transformative impact this approach might have in empowering learners to engage productively.

The authors identify three key affordances for learning that emerged from the illustrative case: (1) flexible opportunities for content-specific domain mastery, (2) situated inquiry that embodies next-generation science practices and (3) embedded computational skill development. The authors discuss these findings in relation to contemporary education needs to broaden participation in data science and computing.

To address challenges in current data science education associated with supporting sustained and productive engagement in computing-based data science, the authors leverage a “sandbox” approach – an original pedagogical framework to support open inquiry with precollege groups. The authors demonstrate how “big data” drawn from social media with high school-aged youth supports learning designs and outcomes by emphasizing learner interests and authentic practice.

Industrial robots are of great significance to the long-term development of family firms. Drawing on the lens of the principal–principal conflict, this paper aims to investigate the influence of family non-executive directors on robot adoption in Chinese family firms.

This paper selects the family firms in China from 2011 to 2019 as the sample. Furthermore, the authors manually collected the family non-executive directors and constructed the robot adoption variable utilizing data sourced from the International Federation of Robotics. In brief, this paper constructs a comprehensive framework of the mechanisms and additional tests pertaining to the influence of family non-executive directors on robot adoption.

This paper finds that family non-executive directors can promote robot adoption in family firms. The underlying mechanism analysis shows that family non-executive directors promote robot adoption by exerting financial and human effects. This paper further finds that the characteristics of family non-executive directors, such as kinship, differential shareholding and excessive directors, affect the role of family non-executive directors. Finally, robot adoption can improve future performance, and the promotional effect is more evident when family members are non-executive directors.

This paper contributes to the related literature from the following two aspects. Firstly, this paper decomposes the types of family directors to understand the role of family non-executive directors, which challenges the assumption that family board members are homogeneous in family firms. Second, this paper expands the research on the factors that influence robot adoption in emerging economies from the micro-enterprise level. In addition, the findings in this paper have managerial implications for family firms to optimize their strategic decisions with the help of the mode of board right allocation.

In the measurement of liquid density and viscosity, the change of resonance parameters due to the parasitic parallel capacitance of resonator affects the measurement accuracy. To improve the accuracy, a method was proposed to compensate the parasitic parallel capacitance of resonator by adding an electrode.

The new electrode (compensation electrode) was added into resonant sensor to make compensation capacitance. The closer the compensation capacitance was to the parasitic parallel capacitance, the better compensation was. The structural parameters of resonant sensor with the compensation electrode were determined by the simulation and experiment.

The effect of this method was examined by the experiment. The relative errors of density and viscosity were less than 0.15, 0.5 % and standard deviations were less than 0.0004 g/cm³ and 0.005 mPas, respectively.

The experimental results show that this method is valuable for the parasitic parallel capacitance compensation of immersed resonant sensor.

This paper has not been published in other journals.

This study seeks to analyze the effect of the financial distress costs on small and medium-sized enterprises (SME) rebalancing of short-term and long-term debt ratios.

The authors use the system-generalized method of moments (GMM-sys) to treat data collected for a sample of Portuguese manufacturing SMEs for the period 2011–2017.

Financial distress costs positively impact the speed with which SMEs rebalance their short-term and long-term debt ratios The positive effect of financial distress costs on the speed of adjustment (SOA) is higher for the short-term than for the long-term debt ratio. This result suggests that SMEs seek to overcome quicker the financing imbalance in the short run, probably, due to their dependence on short-term debt.

SME owners-managers should seek to rely less on short-term debt to reduce the firm default risk, the financing imbalance and the financial distress costs. Banks should lend long-term loans to SMEs, given that the high financial distress risk of these firms results from their dependence on short-term debt financing. Policymakers should promote SME access to external finance sources with lower transaction costs, to SME rebalance their capital structures.

This study analyzes the effect of financial distress costs on the SOA with which SMEs rebalance their capital structure. We estimate the financial distress costs based on a hazard model, to analyze their effect on the SOA toward the target debt ratios.

The purpose of this research is to investigate the effect of characteristics of capitalism on environmental performance.

The authors analyzed a sample of 6,257 companies, based in 55 countries and 8 typologies of capitalism. The independent variables are the characteristics of capitalism, measured through five indicators: cooperation between employees and employers, index of economic freedom, local competition between industries, human development index (HDI) and quality of the governance environment. To measure environmental performance, the authors created an index composed of 20 indicators. Data were analyzed using panel data regression and dynamic panel of the generalized method of moments.

The results indicate that the characteristics of capitalism can shape the environmental behavior of companies. The authors find that in countries with better cooperation between employees and employers, more economic freedom, and competition between firms, in addition to better HDI and national governance, companies have higher environmental performance. When they are in more developed countries, companies have a greater environmental performance.

Managers must consider the country's characteristics of capitalism when making their environmental decisions and strategies. The findings invite governments to incorporate into their regulations mechanisms to protect other interest groups, not just shareholders.

Few studies have examined environmental performance, which is less susceptible to greenwashing. The metric for environmental performance measures the company's concrete effort in relation to environmental issues and not just the disclosure of information. Additionally, the authors examine characteristics of capitalism supported by Varieties of Capitalism, an approach still little explored in the environmental management.

The moderating role of digital services trade restrictiveness to the effects of national intellectual capital on economic growth has been largely ignored in the existing literature. As such, this paper aims to examine how national intellectual capital and digital services trade restrictiveness affect economic growth. In addition, the moderating role of digital services trade restrictiveness in the relationship between national intellectual capital and economic growth is also examined.

In this study, a sample comprising 62 countries worldwide is used. The national intellectual capital for each country is computed using the index of national intellectual capital. Data pertaining to digital services trade restrictiveness are extracted from the digital services trade restrictiveness index (OECD Statistics on International Trade in Services database). To ensure the robustness of the findings, the generalized method of moments (GMM) is used in the analysis.

The findings of this study confirm that national intellectual capital supports economic growth. Accumulating intellectual capital at the national level plays an essential role in supporting economic growth. The authors also find evidence to confirm that digital services trade restrictiveness negatively affects economic growth, particularly for high-income and lower-middle-income countries. Interestingly, digital services trade restrictiveness deteriorates economic growth across countries globally, except for upper-middle-income countries, with a weak effect. The empirical results also confirm that the joint effects between national intellectual capital and digital services trade restrictiveness are negative and significant. As such, findings from our analysis suggest that digital services trade restrictiveness moderates the relationship between national intellectual capital and economic growth.

The findings of this study provide valuable implications for policymakers to formulate and implement policies aiming to improve national intellectual capital to support sustainable economic growth. In addition, limiting digital services trade restrictiveness across countries appears to provide both direct and indirect effects in enhancing sustainable economic growth.

To the best of the authors’ knowledge, this is the first empirical study conducted to examine the moderating role of digital services trade restrictiveness on the national intellectual capital – economic growth nexus.

This study proposes a framework that demonstrates how the perceived value of augmented reality (AR) shopping influences the formation of psychological ownership of product and technology. The mediating role of flow experience and the moderating role of perceived control are identified.

An online survey study recruiting 480 participants who experienced AR shopping was conducted to test the hypotheses.

Functional value is negatively related to psychological ownership of product and technology whereas emotional value shows opposite effects. Flow experience mediates the relationships between functional/emotional value and psychological ownership of product and technology. Perceived control moderates the relationship between emotional value and flow experience, as well as the relationship between functional/emotional value and psychological ownership of product and technology.

The findings suggest the importance of AR’s functional and emotional values in developing psychological ownership of product and technology. To mitigate the negative effect of functional value, AR designers should focus on creating emotionally engaging apps that induce a flow experience, thereby enhancing psychological ownership. Furthermore, AR apps should be designed to empower users with a sense of control in the AR experience.

This research contributes to the AR and psychological ownership literature. It introduces a model that can explain both the formation of psychological ownership of product and psychological ownership of technology, thereby expanding the current understanding. By adding perceived values as antecedents of psychological ownership, it enriches the psychological ownership literature. Moreover, it enhances the flow experience literature by demonstrating the role of flow experience in the formation of psychological ownership of product and technology.

The television (TV) content ecosystem has shifted from traditional broadcasting systems to dedicated content producers and over-the-top (OTT) services. However, less empirical effort has been paid to the actual behaviors of the mobile users who watch TV content when explaining the impact of OTT service and mobile network profiles in watching TV content. This study aims to investigate the impact of gratifications and attitude formed by mobile TV users on actual mobile TV watching behaviors, as well as the moderating impacts of paid OTT service subscriptions and mobile network profiles, based on gratification theory, cognition–affect–behavioral (CAB) framework, sunk cost effect and walled-garden effect.

This study employs the generalized linear model (GLM) with generalized estimating equations (GEE) to test hypothesized relationships. A total of 338 mobile phone users who have been watching TV content using a mobile phone participated in the survey. The moderating variables, 4 types of paid streaming platform subscriptions, were classified based on the walled gardens formed by mobile telecom services.

The study’s results revealed that obtained gratifications and opportunity constructs substantially influenced a mobile phone user’s attitude and behaviors. Additionally, mobile network profiles and the degree of access to paid platform services played significant moderating roles in the relationship between users’ attitudes and behavior.

This research enriches the existing OTT service literature and is one of the pioneering studies investigating the walled-garden effect’s role in mobile phone users’ actual watching behaviors, offering valuable practical implications for the OTT platform providers.

This study aims to provide a comprehensive overview of pro-environmental behavior (PEB) research within higher education institutions (HEIs), highlighting current trends and future challenges.

Using 198 journal articles from the Web of Science, the study conducts co-citation, bibliographic coupling and co-word analyses to map influential publications and forecast trends.

The co-citation analysis revealed three distinct clusters: value-driven environmental behavior, intention-based environmental behavior and green organizational practices and employee PEB. The bibliographic coupling and the co-word analysis revealed more nuanced clusters, holistically identifying academic activities towards PEB. The authors conclude that more strategic and PEB-oriented HEI’s actions are crucial due to the social responsibility of the universities for sustainable development.

This paper provides valuable insights into the expanding area of PEB research and climate leadership empowerment within HEIs. The practical implications of this research are significant for HEIs. It guides the creation of effective policies and interventions to foster sustainable behavior and reduce environmental harm. The study shows the development of educational programs and campaigns promoting sustainable practices among individuals and communities, emphasizing the role of HEIs in cultivating a sustainability-conscious generation.