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This research examines how universities enhance the virality of their social media messages among students. Specifically, we explore whether and how positive affective content in universities’ social media posts can influence sharing behavior. We also investigate the mediating roles of perceived effort and positive emotional reaction, as well as the moderating effect of visual content (i.e. photos).

Drawing upon the emotions as social information model, we conducted (1) an online experiment (N = 222) and (2) text analysis of 1,269,798 Twitter posts extracted from the accounts of 94 UK universities over 11 years (2010–2020) to test our hypotheses.

The findings show that social media posts containing positive affective content encourage sharing behavior and the relationship is mediated by both perceived effort and positive emotional reaction. An additional finding suggests that the use of visual content (photos) strengthens the relationship between positive affective content and sharing behaviors through an interaction effect.

This study contributes to the scant research focusing on positive affective content in the higher education context. The findings shed light on how universities could create social media communications that engage current and prospective students.

Are franking credit balances priced? This paper aims to investigate the valuation of franking credit balances via a determinant analysis and value relevance analysis.

The determinant analysis examines the factors that contribute to the increasing cumulative level of franking credit balances. Value relevance studies explore whether franking credit balances are priced in the market.

The results provide strong evidence of a size effect that the level of franking credit balances increases with firm size and weak evidence of an international focus effect that the level of franking credit balances increases with international ownership. They also find an individual dividend clientele effect that the level of franking credit balances decreases with individual ownership. They find significant evidence that franking credit balances are priced in the market. One dollar of franking credit is worth 1.4 dollars in firm value. That franking balances are capitalized at more than their face value suggests that franking credits signal firms' future dividend policy. They also find that the market valuation of franking balances increases with firm size but decreases with international focus.

This study provides direct evidence that franking credit balances are capitalized into equity prices. In the determinant analysis, this paper improves Heaney's (2009) model by using the percentage of international ownership as the proxy of international focus, thus addressing the limitation of his measure. In the value relevance tests, the study uses a modified model that includes log-transformation to reduce the skewness of variables based on Tanza's (2014) value relevance model. Moreover, the study suggests that the market valuation of franking credit balances increases with firm size, which contradicts Heaney's (2009) findings.

For small businesses, the strategic objective of going green may be a gendered process. Male and female entrepreneurs, due to their gender roles, respond differently to intrinsic motivations and extrinsic pressures to go green. This study aims to investigate whether women-run or men-run firms are more likely to go green due to intrinsic motivations versus extrinsic pressures. Moreover, it examines how the effect of gender on going green is moderated by market competition and gender inequality.

This study employs a dataset of small businesses in 40 countries, mostly developing, in Eastern Europe, Western Asia and Northern Africa.

Women-run firms are more likely to go green due to both intrinsic motivations and extrinsic pressures compared to men-run firms. Notably, market competition weakens the positive effect of female ownership on firm going green while gender inequality amplifies the relationship.

This research is one of the first to examine the gendered process of going green in small businesses. Using the social feminist and institutional theories to understand how male and female entrepreneurs go green for different types of motivations, this research expands understanding of the green transition of small businesses.

At the moment, in terms of both research and commercial products, smart shoe technology and applications seem not to attract the same magnitude of attention compared to smart garments and other smart wearables such as wrist watches and wrist bands. The purpose of this study is to fill this knowledge gap by discussing issues regarding smart shoe sensing technologies, smart shoe sensor placements, factors that affect sensor placements and finally the areas of smart shoe applications.

Through a review of relevant literature, this study first and foremost attempts to explain what constitutes a smart shoe and subsequently discusses the current trends in smart shoe applications. Discussed in this study are relevant sensing technologies, sensor placement and areas of smart shoe applications.

This study outlined 13 important areas of smart shoe applications. It also uncovered that majority of smart shoe functionality are physical activity tracking, health rehabilitation and ambulation assistance for the blind. Also highlighted in this review are some of the bottlenecks of smart shoe development.

To the best of the authors’ knowledge, this is the first comprehensive review paper focused on smart shoe applications, and therefore serves as an apt reference for researchers within the field of smart footwear.

Based on the principal–agent and stakeholder theories, this study aims to put forward an intermediary model to verify the intermediary role of corporate social responsibility (CSR) in executive equity incentives and corporate innovation performance to improve corporate innovation performance.

The 2012–2018 A-share listed companies’ disclosure of executive equity incentives data was used as the research sample. This study used CSR as an intermediary to explore the relationship between executive equity incentives and corporate innovation performance. A verification analysis was carried out.

The research results show that: a positive correlation exists between executive equity incentives and corporate innovation performance, and executives’ reasonable equity incentives can promote the growth of corporate innovation performance. A positive correlation exists between executive equity incentives and CSR. Implementing equity incentives for executives can stimulate their motivation to assume CSR. A positive correlation exists between CSR and corporate innovation performance. The more a company fulfills its social responsibility, the more it can promote the improvement of corporate innovation performance. CSR plays a mediating role between executive equity incentives and corporate innovation performance. CSR promotes executive equity incentives’ impact on corporate innovation performance and exerts a “complete mediating effect” between the two.

The number of samples and the time span of samples can be expanded in the future. This research has tested the mediating effect of CSR, but other mediating variables may play a role in the process of executive equity incentives in promoting corporate innovation performance. Further research should be conducted to explore the mediating effect of financing constraints and media attention on corporate innovation performance. This study only verifies the influence of equity incentives on CSR and innovation performance of senior executives. In the future, other incentive methods should be explored, such as salary incentives.

Foreign research on equity incentives has matured, but the experience of foreign countries cannot necessarily produce the expected effect in China. More than ten years have passed since the China A-share market began implementing equity incentives on December 31, 2005. As of December 31, 2017, about one-third of enterprises in the high-tech industry that had introduced equity incentives had stopped implementing the policy. Data from 2012 to 2018 were selected to analyze the relationship between executive equity incentives, CSR and corporate innovation performance to explore the influence mechanism of equity incentives. This study provides a comprehensive theoretical framework to examine the interaction among executive equity incentives, CSR and corporate innovation performance. Because most previous studies have focused on the relationship between executive equity incentives, CSR and corporate innovation performance, they are rarely been used as an intermediary variable to explore the impact of executive equity incentives on corporate innovation performance. This study explores the impact of executive equity incentives on corporate innovation performance under the influence of CSR. Moreover, this study explores the mediating role of CSR in corporate governance, which provides a new perspective for CSR research and verifies relevant literature on the mediating effect model.

Research countermeasures and suggestions: the research results are significant for enterprises implementing executive equity incentives, fulfilling CSR, enhancing corporate reputation, improving corporate innovation performance and ultimately obtaining market competitiveness. Therefore, the following suggestions are proposed: establish and improve the executive equity incentive mechanism and strengthen the promotion effect of executive equity incentives in CSR and corporate innovation performance. Strengthen the awareness of enterprises to actively fulfill CSR and give full play to the role of CSR in promoting corporate innovation performance. Improve the profitability of enterprises and focus on the promotion effect of enterprise profitability on corporate innovation performance.

This study focuses on executive equity incentives and introduces CSR as an intermediary variable to explore the influence path of executive equity incentives on corporate innovation performance. Based on the research results, this study takes targeted measures to improve corporate innovation performance and maintain its healthy growth of corporate innovation performance. This is significant in enhancing enterprises’ core competitiveness and promoting the enterprise economy’s sustainable development. Meanwhile, the enterprise has significant reference value in actively fulfilling its CSR and realizing its stable and healthy development.

This paper aims to explore the impact of metaverse technology on the hospitality and tourism industry. The introduction of metaverse technology has revolutionised the way the hospitality and tourism industry works. In the present study, the authors have investigated the role of social media marketing in the adoption of metaverse technology in hotel booking in India.

An extended technology acceptance model was proposed for an empirical investigation in the Indian context. Sample of 344 respondents was collected across India using a purposive sampling technique for the purpose of data analysis. The structural model analysis is used to analyse the data collected from the respondents using the SmartPLS software to check the structural and the measurement fit of the model.

The adoption intentions were largely influenced by the utility, attitude (ATT) and ease of use of the technology, and social media marketing plays a major role in influencing the perceived usefulness (PU) and ease of use (PEU). The study finds positive ATTs of the customers for using metaverse technology for booking their hotels. PU and PEU significantly influence the ATT of the consumer indicating the traveller’s perception of the usefulness and ease of metaverse technology influence their ATTs towards adoption.

Influence of metaverse technology is at a nascent stage in India specifically for hotel booking and tourism. The authors have used discriminant validity by using the criteria for both the square root of the average variance extracted and heterotrait–monotrait ratio tests, and the results suggest that the constructs in the research are distinct from other.

Porosity is a commonly analyzed defect in the laser-based additive manufacturing processes owing to the enormous thermal gradient caused by repeated melting and solidification. Currently, the porosity estimation is limited to powder bed fusion. The porosity estimation needs to be explored in the laser melting deposition (LMD) process, particularly analytical models that provide cost- and time-effective solutions compared to finite element analysis. For this purpose, this study aims to formulate two mathematical models for deposited layer dimensions and corresponding porosity in the LMD process.

In this study, analytical models have been proposed. Initially, deposited layer dimensions, including layer height, width and depth, were calculated based on the operating parameters. These outputs were introduced in the second model to estimate the part porosity. The models were validated with experimental data for Ti6Al4V depositions on Ti6Al4V substrate. A calibration curve (CC) was also developed for Ti6Al4V material and characterized using X-ray computed tomography. The models were also validated with the experimental results adopted from literature. The validated models were linked with the deep neural network (DNN) for its training and testing using a total of 6,703 computations with 1,500 iterations. Here, laser power, laser scanning speed and powder feeding rate were selected inputs, whereas porosity was set as an output.

The computations indicate that owing to the simultaneous inclusion of powder particulates, the powder elements use a substantial percentage of the laser beam energy for their melting, resulting in laser beam energy attenuation and reducing thermal value at the substrate. The primary operating parameters are directly correlated with the number of layers and total height in CC. Through X-ray computed tomography analyses, the number of layers showed a straightforward correlation with mean sphericity, while a converse relation was identified with the number, mean volume and mean diameter of pores. DNN and analytical models showed 2%–3% and 7%–9% mean absolute deviations, respectively, compared to the experimental results.

This research provides a unique solution for LMD porosity estimation by linking the developed analytical computational models with artificial neural networking. The presented framework predicts the porosity in the LMD-ed parts efficiently.

Hedonic value is commonly conceded as a determinant of behavioral intentions toward location-based advertising (LBA). However, the careful consideration of a mechanism behind hedonic motivation and its subsequent impact on continuance intention is inadequate. This study aims to explore the formation of hedonic value and its motivation for prolonged usage toward LBA.

A sample of 486 mobile users was recruited to evaluate the research model using structural equation modeling (SEM).

Results reveal that perceived utility and promotional offers are the strongest indicators of hedonic value. Moreover, social support and contextual convenience play an essential role in heightening hedonic value. Furthermore, the research lenses attempt to clarify the direct, indirect influences of hedonic value, irritation and perceived credibility on continuance intention.

The findings offer practitioners an understanding of how to improve hedonic value and continuance intention and develop effective LBA strategies in emerging markets.

This study narrows the gap of current literature by formulating a hedonic value-based continuance intention model based on uses and gratifications theory (UGT). Additionally, this work illuminates the insights into hedonic value toward LBA by identifying its motivations, including perceived utility, promotional offers, social support and contextual convenience.

In the stock market, herding behavior occurs when investors mimic the actions of others in their investment decisions. As a result, the market becomes inefficient and speculative bubbles form. This study aims to investigate the relationship between information, overconfidence, market sentiment, experience and national culture, and herding behavior among Malaysian investors. A total of 400 questionnaires are distributed to bank institutions' investors. The survey design based on cross-sectional data is analyzed using the Partial Least Squares Structural Equation Model. The results indicate that information, market sentiment, experience, and national culture are positively related to herding behavior, while overconfidence has no effect. With this, the government should strengthen regulations to prevent the dissemination of misleading information. Moreover, investors are encouraged to overcome narrow thinking by expanding their understanding of different cultures when making investment decisions.

This study aims to investigate the effect of social influence and value-driven mobile marketing activities on consumers’ acceptance of mobile marketing offers.

The method used is survey questionnaire. A proposed model was tested by using structural model analysis and data gathered from 356 Mexico consumers and 346 US consumers.

The study shows the number of peers and providing information are the main predictor variables of consumer acceptance of mobile marketing offers in both countries. These results suggest that social value factors are important variables for explaining consumers’ responses to mobile marketing offers across two countries characterized by dissimilar macro-environmental conditions.

The study’s overall implication about standardization vs adaptation is that social value messages can be standardized across countries. However, the marketing tools and touch points required to communicate any message appeal must be adapted across countries. One limitation in this study is the use of a convenience sample of undergraduate college students. This study did not control for different types of mobile phones and the screen sizes of mobile phones.

The overall implication of standardization vs adaptation from the study results is that social value messages can be standardized across countries. However, the marketing tools and touch points required to communicate any message appeal must be adapted across countries.

Unlike previous studies where the emphasis is to explicate the effect of value-oriented mobile activity, this study examines the combined effect of social influence and value-driven mobile activities on acceptance of mobile marketing.