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This study aims to examine if a pedagogical agent’s expressed anger, when framed as a feedback cue, can enhance mental effort and learning performance in a multimedia learning environment than expressed happiness.

A between-subjects experiment was conducted in which learners engaged with a multimedia learning material that taught programming algorithms, featuring a pedagogical agent who expressed anger or happiness as a feedback cue in response to the learners’ prior performance. Learners completed a self-reported scale and post-test for measuring mental effort and learning performance, respectively.

Female learners reported higher mental effort and had better learning performance when the pedagogical agent expressed anger than happiness. Male learners reported marginally lower mental effort when the pedagogical agent expressed anger than happiness.

This study focuses on a pedagogical agent’s expressed emotion as social information to learners. Extending from research advocating a pedagogical agent’s positive emotional expression, this study highlights the potential benefits of a pedagogical agent’s negative emotional expression, such as anger, as a cue for learners to enhance learning effort and performance in a multimedia learning environment.

Labours are one of the key resources of construction projects having a significant impact on economic development. With time, the construction industry is getting a boom due to numerous construction projects in which labours’ contribution is significant. Project betterment is associated with the project productivity which relates to the labours. Wages play a vital role in retaining labours in the construction industry.

This study focuses on investigating the increasing and decreasing behaviour of labour wages in the construction industry and observing the impact of the inflation rate in deviating labour wages. Initially, the percentage deviation was calculated to observe the changing behaviour of the data and then the Spearman correlation test was used to find the relationship between the inflation rate and the labour wages.

It is evident that even with a good economy and a stable construction sector, still, the labour wages faced a decline over time, which is a matter of concern. Also, based on the correlation coefficient, it was revealed that several labour wages categories are moderately and strongly correlated with the inflation rate and can impact project cost if the inflation rate is not considered while finalizing the budget. Besides that, the changing behaviour of labour wages due to the inflation rate impacts significantly on gross domestic product (GDP); therefore, it requires vital attention.

Changes in labour wages are not considered in budget estimation which drag the project towards cost overrun. This study brings the attention of the stakeholders on the issue with experimental justification. Also, how the inflation rate is affecting the labour wages has also been addressed.

This study aims to expand understanding of the diversity of virtual influencer forms by investigating their nonhuman-like, animal and graphic or cartoon variations.

A three-year multisite longitudinal netnography studied 174 virtual influencers and spanned ten social media platforms. Typological categories were constructed from the data set, focusing on 14 influencers located across quadrants. In-depth findings were then developed for eight illustrative cases.

Findings deepen the knowledge of the virtual influencer sphere by highlighting diversity in human-like, nonhuman-like, imaginative and realistic forms. The authors postulate four types of virtual influencers: hyper-human, antihuman, pan-human and alter-human. These forms are linked to specific personalities and communication styles, addressing various consumer needs. Imaginatively represented virtual influencers may prompt audiences to reevaluate beliefs, values and behaviors. These findings challenge prior work’s focus on attractive, hyperreal and human-like virtual influencers, encouraging consideration of divergent types engaged in novel meaning-shaping activities and targeting different segments.

This research paves the way for consumer and marketing researchers and practitioners to broaden their representations of virtual influencers beyond the human-like, beyond the commercial and into new worlds of fantasy, imagination and posthuman possibility.

Different types of virtual influencers speak to diverse audiences and convey marketing messages in subtly different ways. Some forms of virtual influencers fit into roles like defiant voices, oppositional characters, activists, educators, entertainers and change leaders. As the universe of virtual influencers diversifies, this research opens new avenues of marketing for brands.

This study pioneers comprehensive qualitative research across the universe of virtual influencers and their communities, exploring links to popular culture. It offers connections between virtual influencer forms and communication strategies for marketers.

The objective of this study was to examine how high-social and low-social virtual live streamers affect consumers' experiential value (utilitarian value and hedonic value) and the mechanism and boundary conditions behind the effect.

The research consisted of four laboratory experiments.

The results showed that socialness has a positive significant effect on experiential value. Social presence mediated the effect of socialness on utilitarian value and hedonic value. In the relationship between socialness and experiential value, the moderating effects of communication style and situation were significant.

This study provides managerial implications for online stores about the use of virtual live streamers.

The finding of this paper extends the literature on virtual humans or avatars, enriches the literature on the characteristics of virtual humans and tests the explanatory power of social response theory.

The current era of the fourth industrial revolution has attracted significant research on the use of digital technologies in improving construction project delivery. However, less emphasis has been placed on how these digital tools will influence the management of the construction workforce. To this end, using a review of existing works, this chapter explores the fourth industrial revolution and its associated technologies that can positively impact the management of the construction workforce when implemented. Also, the possible challenges that might truncate the successful deployment of digital technologies for effective workforce management were explored. The chapter submitted that implementing workforce management-specific digital platforms and other digital technologies designed for project delivery can aid effective workforce management within construction organisations. Technologies such as cloud computing, the Internet of Things, big data analytics, robotics and automation, and artificial intelligence, among others, offer significant benefits to the effective workforce management of construction organisations. However, several challenges, such as resistance to change due to fear of job loss, cost of investment in digital tools, organisational structure and culture, must be carefully considered as they might affect the successful use of digital tools and by extension, impact the success of workforce management in the organisations.

The efficient application of building information modeling (BIM) methodology in the sustainable building design process, known as green BIM, provides ideal leverage to significantly enhance multidiscipline team collaboration. However, the practical execution of green BIM is characterized by issues such as duplication of work, information silos and poor cross-party coordination. Besides, there are limited studies on the specific components that are critical to driving green BIM collaborative design. This study aims to establish the critical components of green BIM collaborative design to enable the multidiscipline team to effectively use diverse software to collaboratively exchange accurate information, thus ensuring informed decision-making in the sustainable building design process.

Data were obtained by using a questionnaire to survey 360 respondents comprising mainly architects and engineers (civil, mechanical and electrical) in Malaysia. Subsequently, data were analyzed via confirmatory factor analysis. Afterward, a measurement model was established and used to test the 11 hypotheses of this study.

A covariance-based structural equation model of the critical components for successful BIM-based sustainable building design collaboration was established.

The research findings will guide the multidisciplinary team to collaboratively exchange accurate information in green BIM practices.

To the best of the authors’ knowledge, this research is the first attempt in the literature to provide a pragmatic approach for practitioners to combine the established critical components of green BIM to collaboratively exchange heterogeneous sustainability criteria and efficiently design buildings with high sustainability performance, particularly in emerging countries like Malaysia.

Avatars, which are used as a technology and marketing tactic, can embody consumer-facing employees and mimic their real-life roles on companies' websites, thereby playing a key role in enhancing the relationships between consumers and brands in the online environment. Academics and practitioners have increasingly acknowledged the significance of the consumer-brand relationship in both traditional and online contexts. However, the impersonal nature of the online environment is considered to be a hindrance to the development of these relationships. Despite the importance of this technology, little attention has been paid to the investigation of the avatar concept from a marketing perspective. This paper explores the nature of the avatar concept, including its main characteristics, dimensions, and conditions as well as the attitudinal and behavioural consequences of avatar users.

Adopting the qualitative design, a taxonomy was developed from interviews. In total, 42 interviews were conducted with current university students. 30 participants participated in the exploratory interviews. A total of 12 interviews were conducted during the in-depth stage based on findings in the preceding research.

Based on the qualitative data analysis, a taxonomy was developed. The idea of the taxonomy is summarized in that different dimensions of the avatar are considered the main base (first phase) of the taxonomy. There are consequential three parts: the attitudinal consequences related to the website; the attitudinal consequences related to the brand; the behaviours towards the brand. These behaviours represent the final phase of the taxonomy.

By developing a taxonomy of using avatars on brands' websites, the authors advance the understanding consumer-brands relationships. Using avatars' verbal interactions helps in shaping consumers' cognitive, affective, attitudinal and behavioural responses and add vital empirical evidence to the increasing body of research and practices involving avatar usage in the interactive marketing area.

This chapter investigated tendering in stealth construction, emphasising innovative approaches and methodologies that prioritise environmental protection, safety, efficiency, and aesthetics. It began with an overview of the construction industry’s tendering processes, followed by an in-depth examination of various tendering types, including competitive and negotiated methods. The study highlighted contemporary trends such as electronic tendering, Building Information Modelling (BIM), green and sustainable procurement, risk management, data analytics, artificial intelligence, lean construction practices, and blockchain technology. Moreover, with a specific focus on stealth construction, the chapter further analysed certain criteria, including building cross-section development, visibility, radio frequency emission, and countermeasures. It explored integrating functional construction systems, including environmental, safety, health, and quality management. Additionally, it discussed methods like green building, modular construction, and low-impact techniques. Lastly, the chapter emphasised the strategies to achieve environmental protection, safety, speed, economy, and aesthetics in tendering for stealth construction.

The study has a two-fold purpose: first, to identify the enablers of partnering agility in higher education, and, second, to analyze the interplay between the enablers.

Total interpretive structural modelling (TISM) was used to construct a theoretical model of partnering agility enablers, and cross-impact matrix multiplication applied to classification (MICMAC) analysis was used to rank and segregate the enablers into independent, autonomous, dependent and linkage zones on the basis of their driving and dependence power.

The study helped in identifying eight enablers that can be instrumental in driving partnering agility in higher education. According to the TISM model, clarity on roles and responsibilities of partners was found to be the most crucial and vital enabler followed by resource sharing.

The conceptual model provides a new direction on how to develop and strengthen higher education partnerships. The model has prioritized all the crucial enablers that the management can work around in order to drive partnering agility in higher education institutions.

Studies in the past have majorly focused on academia–industry partnerships. This research has tried to provide a comprehensive view of the enablers and the multidirectional interplay between the enablers that can facilitate partnerships between academia and industry, Indian and international universities, and academia and community.

This study aims to conceptualize the relationship of perceived artificial intelligence (AI) credibility with consumer-AI experiences. With the widespread deployment of AI in marketing and services, consumer-AI experiences are common and an emerging research area in marketing. Various factors affecting consumer-AI experiences have been studied, but one crucial factor – perceived AI credibility is relatively underexplored which the authors aim to envision and conceptualize.

This study employs a conceptual development approach to propose relationships among constructs, supported by 34 semi-structured consumer interviews.

This study defines AI credibility using source credibility theory (SCT). The conceptual framework of this study shows how perceived AI credibility positively affects four consumer-AI experiences: (1) data capture, (2) classification, (3) delegation, and (4) social interaction. Perceived justice is proposed to mediate this effect. Improved consumer-AI experiences can elicit favorable consumer outcomes toward AI-enabled offerings, such as the intention to share data, follow recommendations, delegate tasks, and interact more. Individual and contextual moderators limit the positive effect of perceived AI credibility on consumer-AI experiences.

This study contributes to the emerging research on AI credibility and consumer-AI experiences that may improve consumer-AI experiences. This study offers a comprehensive model with consequences, mechanism, and moderators to guide future research.

The authors guide marketers with ways to improve the four consumer-AI experiences by enhancing consumers' perceived AI credibility.

This study uses SCT to define AI credibility and takes a justice theory perspective to develop the conceptual framework.