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Corporate social responsibility (CSR) performance is critical to address construction activities’ environmental and social impacts. This study aims to evaluate the level of CSR implementation across various categories within the context of the Vietnamese construction industry.

The literature review and semi-structured interviews were conducted to determine Vietnamese construction organizations’ most commonly implemented CSR activities. A total of 252 valid responses were then obtained through a questionnaire survey. In addition, the fuzzy synthetic evaluation (FSE) method was used to evaluate the extent to which CSR categories have been implemented in construction companies.

The findings revealed 31 commonly implemented CSR activities of the Vietnamese construction firms, which were grouped into four categories. Of the four categories, the FSE analysis showed that stakeholder CSR was the most critical category, followed by ethical CSR, philanthropic CSR and environmental CSR.

This research provides valuable CSR activities to construction companies that intend to develop sustainably. Moreover, the proposed prioritization methodology offers practitioners a reliable and easy-to-use evaluation tool that clearly understands CSR performance within their organizations.

Conspicuously absent from the branding literature is research on the brand-to-brand (Br2Br) interface enabled by social media. The author proposes how networked brands-as-actors integrate their resources as Br2Br interactions that co-create consumer–brand value. As a secondary contribution, the author provides an empirical baseline exploration of the value co-creating impact of Br2Br interactions on consumer–brand evaluations and social media engagement.

Three streams of research aid in conceptualizing the value co-creating process of Br2Br interactions. A follow-up exploratory study uses a controlled Br2Br interaction stimulus in a 2 × 2 × 2 between-subjects design, where brand familiarity and product category complementarity are manipulated, and interaction spillover effects are analyzed using structural equation modeling.

The author finds Br2Br interactions positively affect consumer–brand evaluations and social media engagement likelihood. Spillover effects of these interactions are symmetric for consumer–brand evaluations for both brands. However, brand familiarity moderates the effects of Br2Br interactions on consumer–brand evaluations.

The author lays the groundwork for future research on the complexities of Br2Br interactions – including brand personality conflict, interaction duration and paratextual language – and the boundary conditions for Br2Br and brand-to-consumer relationships.

This study aims to investigate the mediating role of different types of intellectual capital (human, structural and relational) in the relationship between artificial intelligence-driven supply chain analytics capability (AI-SCAC) and various supply chain decision-making processes, specifically rational, bounded and tacit decision-making.

The study used a quantitative survey strategy to collect the data. A total of 320 valid questionnaires were received from manufacturing companies. The data were analysed using structural equation modeling with partial least squares (PLS-SEM) approach through SmartPLS software.

The results indicate that human and structural capital significantly mediate the relationship between AI-SCAC and rational and bounded decision-making processes. However, structural capital does not mediate the relationship between AI-SCAC and the tacit decision-making process. Moreover, relational capital does not show a significant mediating effect on all of the decision-making processes. Notably, structural capital has the strongest impact on rational and bounded decision-making, while human capital plays a critical role across all three decision-making processes, including tacit decision-making.

This study contributes to the literature by providing a nuanced understanding of the differentiated impact of intellectual capital components on various decision-making processes within the context of AI-SCAC. While previous studies have broadly acknowledged the role of intellectual capital in decision-making, this research provides more understanding of how specific types of intellectual capital interact with AI to influence distinct decision-making processes. Notably, the differential impact of structural capital on rational and bounded decision-making versus tacit decision-making highlights the need for organisations to adopt a more tailored approach in leveraging their intellectual capital.

This paper investigates the mediating role of organizational prosocial behavior (OPB) in the relationship between spiritual leadership (SL) and knowledge-sharing (KS) from the intrinsic motivation perspective.

A survey was used to gather data from middle and executive management employees at industrial firms in Sahab Industrial City in Jordan. The study applied quantitative exploratory methods. The study used a self-reported questionnaire to gather data, with 268 valid responses being used to conduct the analysis. The analysis of data proceeded with the aid of SEM-PLS using SmartPLS 4.

The results advocate the positive link between SL and KS routing through the mediator (OPB). The mediating role of OPB was found to be partial.

This study offers practical implications for organizations that wish to optimize KS among employees. It emphasizes the crucial role of SL in determining employee OPB and proposes that managers strive to engender organization-wide transcendental values.

This study furthers the understanding of KS by testing the relationship between SL and KS using OPB as a mediator, which has not been investigated theoretically or empirically.

This research aims to propose a high-performance-based model of remote teaching where trained teachers (those who deliver lectures by using different tools i.e. Microsoft Team, Zoom, etc.) can get the desired results through artificial intelligence (AI) awareness, knowledge sharing and transformational leadership in the future.

This research is quantitative in nature and convenience sampling is followed to gather data from 307 trained faculty (those who deliver lectures by using different tools i.e. Microsoft Team, Zoom, learning management systems, etc.) from various universities of the federal capital territory (FCT) Islamabad and district Rawalpindi of Punjab province, Pakistan who worked online from home during novel corona lockdown. SmartPLS is used for data analysis and structural equation modeling is performed to test the suggested model.

Results revealed that AI awareness has a significant positive influence on knowledge sharing but exhibited a negative significant impact on teacher performance. Likewise, knowledge sharing acts as a partial mediator; however, transformational leadership moderates between remote working and knowledge sharing.

During the pandemic, the mode of instruction shifted from physical to online, generating several barriers for teachers who were used to on-campus teaching. This research presented an effective model for knowing the mechanism of possible and reliable implications at educational institutions of developing countries to get the desired outcomes of effective online teaching in calamity situations.

The purpose of this study is to examine the role of professional judgment in property valuation within India’s lending sector by exploring how different market and cultural factors influence valuation practices.

A mixed-methods research approach comprising interviews of 15 highly experienced property valuation professionals to understand nuances of property valuation and find important factors which require their professional judgment, based on which a questionnaire survey is administered to 137 valuers from various parts of India. A relative importance index (RII) analysis and a mixed model ANOVA were then used to evaluate the significance of different factors affecting property valuation.

The results reveal the factors which require professional judgment of property valuation professionals. Zoning and development plans, legal due diligence, regulatory compliance, real estate regulatory authority and supply–demand dynamics are top five factors. Also, there was no statistically significant difference between less experienced property valuers and their more experienced counterparts.

The findings reveal important factors which require professional judgment while doing valuation in opaque property markets of India. A study reveals difficulties that valuation teams working for banks and NBFCs face due to challenges and variation in Indian real estate markets. Furthermore, it stresses the need for continuous professional development and adherence to ethical standards among valuation professions.

This research offers an all-inclusive study about the things that influence subjective judgment in Indian property valuation and provides insight into the intricate intertwining of regulatory, market and cultural aspects in the process.