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This research aims to determine the levels of education quality (EQ), technology usage (TU), students' satisfaction (SS) and the impact of EQ on SS. Also, it seeks to find out how TU as a moderator affects EQ and SS in Pakistani private higher education institutions (HEIs).

A total of 440 postgraduate students at eleven private universities in Lahore, Punjab Province, Pakistan, participated in empirical research and data were obtained through the use of an online questionnaire. Simple random sampling was used to choose participants and partial least square structural equation modeling was employed to analyze the data.

The findings revealed that Pakistani private HEIs have a medium level of EQ, TU and SS. Furthermore, the data reveal the existence of a significant positive relationship between EQ and SS, whereas TU as a moderator was found to negatively affect EQ and SS.

Postgraduate students of private HEIs in Pakistan were considered for this investigation and this study was limited to testing only in Punjab province. Another limitation of this study is that it was based on a research framework from previous research and literature. This study employed questionnaire surveys to conduct evaluations of teachers' teaching quality by university students. Furthermore, the questionnaire employed student self-evaluations to assess the quality of teaching. The research data would be more detailed if it were possible to include teachers' self-evaluations of their teaching quality.

The current study provides key insights for policymakers, higher education commission and HEIs. The results suggest leveraging the identified medium levels of EQ, TU and student satisfaction in Pakistani private HEIs. In an effort to boost the medium levels, policymakers are encouraged to enhance the teaching and learning experience by robustly integrating Web 4.0 technologies. Institutions can intervene strategically by investing in infrastructure and innovative tools aligned with students' technological needs. Likewise, policymakers and institutions can optimize learning management systems (LMS) by developing and implementing policies that encourage their adoption and optimization across HEIs. This may contribute to the accomplishment of the United Nations' sustainable development goal of providing quality education. Moreover, with the help of this research HEIs can establish minimum quality standards regarding academic teaching and learning materials. Implementing the above-mentioned practical implications might boost student satisfaction in HEIs which would benefit not only students but also the institutions.

The novelty of the article lies in the fact that it addresses the gap in the existing literature by exploring the levels of EQ, TU and student satisfaction in the context of private higher education in Pakistan. Furthermore, this study investigated whether TU served as a moderator in the relationship between student satisfaction and UNESCO-recommended EQ. This study elaborates on EQ indicators recommended by UNESCO in Pakistan’s private higher education sector.

This empirical study aims to investigate how employee responses to corporate social responsibility (CSR) (i.e. perception of and participation in CSR initiatives) can affect career adaptability in the Vietnamese service industry. Furthermore, the mediating mechanism of psychological capital (PsyCap) and the moderating role of moral identity are explored in this relationship.

The target population for this study includes employees working for service enterprises in which CSR practices are conducted, such as tourism, hospitality, retail, education and others in Vietnam. The data from 685 responses were analyzed for measurement model analysis and structural model analysis using SPSS, AMOS and SmartPLS.

The findings of this study reveal that CSR perception and CSR participation have significant positive effects on career adaptability through PsyCap. This study also confirms that the positive association between CSR perception and PsyCap is more pronounced among employees with a higher level of internalized moral identity and symbolic moral identity.

The collection of data involving multiple dimensions at once did not allow the study to accurately assess the effect of variables over time. Further studies that want to look closely at the impact of perception of and participation in CSR should collect data longitudinally and follow up the target sample over a period of time. Besides, moral identity is a context-dependent construct associated with various social and cultural institutions. Meanwhile, Western moral identity emphasizes individual-oriented morality; Eastern cultures consider a socially oriented person to be highly moral; therefore, this study’s findings might not be appropriate for Western culture. To enrich the existing CSR framework, future studies may attempt to unveil the intervening mechanism of other psychological factors, such as psychological safety, or explore the predictions for other career-related outcomes, such as career satisfaction in the CSR context. Finally, both CB-SEM and PLS-SEM methods can be combined to analyze complex models, especially high-order models.

By leveraging influence processes within the model, service managers can foster human resource development in the workplace by raising the active involvement of employees in CSR activities.

This research enriches the literature on CSR and employee-related outcomes by formulating a conceptual model focusing on employee responses to CSR as key antecedents. This study also contributes to the existing understanding of the CSR context by empirically investigating micro-level CSR in an emerging economy like Vietnam.

This paper aims to empirically examine the influence of macroeconomic and socioeconomic factors on improving financial inclusion in India, with a specific focus on two distinct indicators of financial inclusion.

This study has used a time-series data set covering the years 1996 to 2022, using a nonlinear autoregressive distributed lag methodology. This approach allows for the examination of both short- and long-run effects of key macroeconomic and socio-economic indicators, including GDP per capita growth, remittance inflows and the income share held by the lowest 20% of the population on the growth of two financial inclusion indicators: the number of commercial bank branches and ATMs per 100,000 adults.

Model-1 investigates how commercial bank branch growth affects financial inclusion. Positive remittance inflow growth and a rise in the income share of the bottom 20% both lead to increased financial inclusion in both the short and long term, with the effects being more pronounced in the long run. Conversely, negative effects of remittance inflow growth and a decline in GDP per capita growth lead to reduced financial inclusion, primarily affecting the long run. Focusing on ATM growth, Model-2 reveals that positive remittance inflow growth has the strongest impact on financial inclusion in the short term. While income share growth for the bottom 20% and GDP growth also positively influence financial inclusion, their effects become significant only in the long run. Conversely, a decline in GDP per capita growth hinders financial inclusion, primarily affecting the short run.

This study fills a gap in research on macroeconomic and socioeconomic factors influencing financial inclusion in India by examining the impact of GDP per capita growth, remittance inflows and the income share held by the lowest 20% of the population, an area relatively unexplored in the Indian context. Second, the study provides comprehensive distinct results for different financial inclusion indicators, offering valuable insights for policymakers. These findings are particularly relevant for policymakers working toward Sustainable Development Goal 8.10.1, as they can use the results to tailor policies that align with SDG objectives. Additionally, policymakers in other developing nations can benefit from this study’s findings to enhance financial inclusion in their respective countries.

Entrepreneurial intention is crucial in both entrepreneurship literature and practice. However, limited information exists regarding entrepreneurs’ intentions in the realm of social enterprise creation. This study aims to determine the social entrepreneurial intentions of Generation Z students within the Indian environment by utilising the theory of planned behaviour (TPB) and its applicability using personality factors like risk-taking ability, proactivity, empathy and emotional intelligence.

A survey method was used, and data was collected by Generation Z individuals at three public universities in India using a self-administered questionnaire. The study used a purposive sampling technique, and further, the model was tested using the partial least square-structural equation modelling technique.

The study findings supported the proposed model of extended TPB, demonstrating that factors such as emotional intelligence, risk-taking ability and proactiveness are found prominent in Indian students. Furthermore, the role of gender as a control variable reflected no effect on social entrepreneurial intentions.

This research enhances the literature on social entrepreneurship by offering novel insights into social entrepreneurial intention. It is among the pioneers of its type to examine social entrepreneurial intent concerning personality factors among students of higher education institutions. This study provides interesting insights for universities and policymakers since they play a crucial role in promoting these antecedents through education and stimulation by enhancing entrepreneurial culture in developing countries.

This study aims to examine whether the age and tenure of the chair of the board of directors are related to research and development (R&D) investment in China.

This study uses A-share manufacturing firms that traded on the Shanghai and Shenzhen stock exchange between 2009 and 2018. This study uses OLS regressions, controls for self-selection bias, and uses an instrumental variable to alleviate the concern of endogeneity.

This study finds that chair tenure has a negative relationship with R&D investment. This study does not find a significant relationship between chair age and R&D investment.

This study contributes to corporate governance and strategic management literature by highlighting chair tenure as a new factor affecting R&D investments. It also adds a significant contribution to the limited literature on the chair’s role in strategic decisions. Moreover, companies that are eager to strengthen corporate governance and maintain sustained innovation may reconsider the chair tenure. Given that many proposals for board governance reform explicitly stress the importance of limiting board tenure, this study contributes to policymakers by providing evidence in support of these proposals.

Monitoring of the quality of precast concrete (PC) components is crucial for the success of prefabricated construction projects. Currently, quality monitoring of PC components during the construction phase is predominantly done manually, resulting in low efficiency and hindering the progress of intelligent construction. This paper presents an intelligent inspection method for assessing the appearance quality of PC components, utilizing an enhanced you look only once (YOLO) model and multi-source data. The aim of this research is to achieve automated management of the appearance quality of precast components in the prefabricated construction process through digital means.

The paper begins by establishing an improved YOLO model and an image dataset for evaluating appearance quality. Through object detection in the images, a preliminary and efficient assessment of the precast components' appearance quality is achieved. Moreover, the detection results are mapped onto the point cloud for high-precision quality inspection. In the case of precast components with quality defects, precise quality inspection is conducted by combining the three-dimensional model data obtained from forward design conversion with the captured point cloud data through registration. Additionally, the paper proposes a framework for an automated inspection platform dedicated to assessing appearance quality in prefabricated buildings, encompassing the platform's hardware network.

The improved YOLO model achieved a best mean average precision of 85.02% on the VOC2007 dataset, surpassing the performance of most similar models. After targeted training, the model exhibits excellent recognition capabilities for the four common appearance quality defects. When mapped onto the point cloud, the accuracy of quality inspection based on point cloud data and forward design is within 0.1 mm. The appearance quality inspection platform enables feedback and optimization of quality issues.

The proposed method in this study enables high-precision, visualized and automated detection of the appearance quality of PC components. It effectively meets the demand for quality inspection of precast components on construction sites of prefabricated buildings, providing technological support for the development of intelligent construction. The design of the appearance quality inspection platform's logic and framework facilitates the integration of the method, laying the foundation for efficient quality management in the future.

This study is a pioneering attempt to explore a relatively unexplored research area that examines the differences experienced by subordinates and supervisors when confronted with both quantitative and qualitative job insecurity (JI) and its influence on their creative performance (green and non-green), taking into account their subjective well-being (SWB). Furthermore, this study aims to examine the potential role of supportive leadership in enhancing the SWB of both subordinates and supervisors, aiming to determine the level of support they receive from their supervisors/managers/leaders during challenging situations.

Data were collected from supervisors and subordinates working in upscale hotels in Guangzhou, China. The online survey platform WJX.com was used to gather the data. The confirmatory factor analysis, measurement reliability and validity assessment were carried out using a consistent partial least squares (PLS) algorithm. The causal relationships of the hypotheses were tested through consistent PLS bootstrapping.

At the subordinate level, quantitative JI positively influenced two forms of performance, whereas qualitative JI had a negative impact. SWB partially mediated the impact of qualitative JI on outcomes. At the supervisory level, quantitative JI had no significant impact on the measured variables. Supportive leadership partially moderated the qualitative JI-SWB relationships.

Building upon the transactional model of stress and conservation of resource - theory, this comparative study provides novel insight into how the hierarchy perceives JI and stress and how these perceptions and suffering impact their well-being and responsibilities. The novel findings contribute to the literature by highlighting that, in times of adversity (e.g., the recent health crisis), supervisors whose responsibility is to support subordinates may themselves feel uncertain about their job security and seek support from upper management.