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The adoption of energy-efficient systems is crucial for Pakistan to meet its growing energy demand and address its energy challenges. However, adoption of these systems in Pakistan is hindered by several barriers, including economic constraints, lack of awareness and social attitudes toward sustainable development. Therefore, the purpose of this study is to explore adoption of energy-efficient household systems and the associated social influence.

The study incorporates social influence as a mediating factor to examine the relationships between awareness of consequences, perceived consumer effectiveness and attitudes toward the adoption of energy-efficient systems. A quantitative survey method was used to collect data from households from Faisalabad, Pakistan. A total of 203 valid questionnaires were received and data analyzed through SmartPLS 4 for structural equation modeling.

The results revealed that awareness of consequences positively impacts compliance, social identification and internalization, while perceived consumer effectiveness has a positive relationship with social identification and internalization. Moreover, the positive association of social identification and internalization with attitude were supported but relationship of compliance with attitude was unsupported.

The results may also be used to develop compelling marketing campaigns focusing environmental conservation and social influence for positive attitude development.

The study contributes to theoretical literature by examining the empirical relationships between specific individual characteristics and societal pressure that play a critical role in shaping attitudes toward the acceptance of energy-efficient systems. Additionally, the study's findings offer actionable implications for policymakers and marketers, contributing to the development of targeted interventions for promoting sustainable consumption.

The purpose of this paper is to examine the influences of employee perception of corporate social responsibility (CSR) in the Readymade Garment Industry (RMG). The RMG industry in Bangladesh has faced constant criticism of their working practices, and following some fatal incidents, the industry was faced with external pressures of implementing CSR practices and policies. Manufacturers invested and initiated CSR in their business and marketing strategy to survive in the global competition. Employees are internal stakeholders that help to implement and disseminate strategies successfully; however, there is not enough knowledge in the area of employee perception of CSR.

The paper is an exploratory study using the quantitative data collection method. In total, 128 responses have been collected from participants who are employees of garment factories in Bangladesh to understand their perception of CSR. Regression analysis has been conducted to ascertain the relationships between the factors that influence employee perception. Theories of stakeholder management, organizational citizenship behaviour, social exchange theory and employee engagement have been used to analyse the factors that influence employee perception.

The findings show that the factors that influence perception of CSR are not confined to the stakeholder’s initiatives but are significantly dependent on the employees’ direct involvement, engagement and personal values as a beneficiary and an executioner. In addition to the stakeholder’s initiatives that are a key deliverable to the marketing strategy, the employees are influenced by their personal beliefs and practices that can be associated with influences of religion, culture and the wider social landscape.

The data is limited to a small number of factories located near the capital, Dhaka, this is a small sample compared to the 4,000 factories in Bangladesh. Further research can be conducted based on a larger data set, which could represent a wider range of employee perspectives from different factories relating to size, product category and geographical location. The study does not expand on the factors that influence employee perception specifically.

The findings of the study can help the employers understand that the organization’s priority and participation are not the only factors that influence the employee’s perceptions. The employees’ assessment of the stakeholder’s intentions of CSR, which are reflected in the organization’s priority, shapes employee perceptions that are influenced by their personal values and beliefs. The awareness of the factors that influence the employees will enable organizations to motivate them and deliver on expectations of the business partners.

It is the practices aimed at the employees that enhance their engagement in CSR that enable them to reciprocate and influence their perception of the organization’s fair and genuine motives. The effectiveness of this aids the macro-marketing aspects of managing social concerns and the impact of businesses.

The data collected is primary data from employees of garment manufacturers. The hypothesized framework is developed by the authors, and the outcomes of the factors that influence the employee perception of CSR are escalated from the analysis conducted by the authors.

The rapid development and widespread application of artificial intelligence tools have raised concerns about how designers are embracing these technologies. This study investigates the factors influencing designers' behavioral intention to use and disclose the use of generative artificial intelligence.

A quantitative research approach was employed, designing a structured questionnaire based on Self-Determination Theory to assess the impact of various psychological and social dimensions. The questionnaire included dimensions such as autonomy, competence, relatedness, social influence, value fit and social innovativeness. A Partial Least Squares Structural Equation Modeling analysis was conducted on 309 valid responses from diverse design fields.

Competence and relatedness are significant factors influencing designers' continuance intention to use generative artificial intelligence. Although autonomy does not significantly affect continuance intention, it plays a crucial role in the decision to disclose artificial intelligence participation. Social influence and value fit significantly shape autonomy, competence and relatedness, while the impact of social innovativeness is relatively limited.

This study clarifies the factors influencing designers' continuance intention and disclosure of generative artificial intelligence tools from both individual and social dimensions, enhancing the understanding of the relationship between designers and generative artificial intelligence tools. It provides valuable insights for the development of artificial intelligence technology and the future trends in the design industry, offering significant theoretical and practical value.

Facilities management (FM) organizations are pivotal in enhancing the resilience of buildings against climate change impacts. While existing research delves into the adoption of digital technologies by FM organizations, there exists a gap regarding the specific utilization of artificial intelligence (AI) to address climate challenges. This study aims to investigate the drivers and barriers influencing the adoption and utilization of AI by South African FM organizations in mitigating climate change challenges.

This study focuses on South Africa, a developing nation grappling with climate change’s ramifications on its infrastructure. Through a combination of systematic literature review and an online questionnaire survey, data was collected from representatives of 85 professionally registered FM organizations in South Africa. Analysis methods employed include content analysis, Relative Importance Index (RII), and Total Interpretative Structural Modeling (TISM).

The findings reveal that regulatory compliance and a responsible supply chain serve as critical drivers for AI adoption among South African FM organizations. Conversely, policy constraints and South Africa’s energy crisis emerge as major barriers to AI adoption in combating climate change challenges within the FM sector.

This study contributes to existing knowledge by bridging the gap in understanding how AI technologies are utilized by FM organizations to address climate challenges, particularly in the context of a developing nation like South Africa. The research findings aim to inform policymakers on fostering a conducive environment for FM organizations to harness AI in fostering climate resilience in built assets.

The mounting health misinformation on social media triggers heated discussions about how to address it. Anchored by the influence of presumed influence (IPI) model, this study investigates the underlying process of intentions to combat health misinformation. Specifically, we analyzed how presumed exposure of others and presumed influence on others affect intentions to practice pre-emptive and reactive misinformation countering strategies.

Covariance-based structural equation modeling based on survey data from 690 Chinese participants was performed using the “lavaan” package in R to examine the proposed mechanism.

Personal attention to health information on social media is positively associated with presumed others’ attention to the same information, which, in turn, is related to an increased perception of health misinformation’s influence on others. The presumed influence is further positively tied to two pre-emptive countermeasures (i.e. support for media literacy interventions and institutional verification intention) and one reactive countermeasure (i.e. misinformation correction intention). However, the relationship between presumed influence and support for governmental restrictions, as another reactive countering method, is not significant.

This study supplements the misinformation countering literature by examining IPI’s tenability in explaining why individuals engage in combating misinformation. Both pre-emptive and reactive strategies were considered, enabling a panoramic view of the motivators of misinformation countering compared to previous studies. Our findings also inform the necessity of adopting a context-specific perspective and crafting other-oriented messages to motivate users’ initiative in implementing corrective actions.

The Technical Education and Vocational Training Authority (TEVTA) plays a crucial role in the socioeconomic development of a country. Still, it is often stigmatized as a secondary choice in the Global South. This study explored the interrelationships and impacts of factors such as family, school, and society on the perception and reputation of TEVTA.

By employing quantitative methods, the analysis focused on how family, society, and school support influence these perceptions and reputations within TEVTA programs. Social Cognitive Theory is the theoretical underpinning of this study, in which 350 students from 13 TEVTA institutes participated by filling out questionnaires. The data was analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM) and IBM SPSS 28.

This study indicates that family and societal influences significantly shape students' perceptions, confirming their pivotal role in enhancing the reputation of these programs. School support also emerged as a critical factor, significantly impacting students' perceptions but not directly influencing the programs' reputation. The analysis underscores the importance of understanding the sociocultural context to develop effective strategies for the TEVTA sector in Pakistan. This clear understanding is essential for developing effective strategies to improve the reputation of TEVTA programs in this setting. Moreover, this research offers policy suggestions to make vocational education more attractive and accessible to diverse students, ultimately contributing to the country's socioeconomic development.

This study applied Social Cognitive Theory (SCT) to explore how individual thoughts, environmental influences (such as family, school, and society), and behaviors interact within the context of TEVTA programs. This approach fills gaps in current research and offers a clearer understanding of what affects TEVTA's perception and reputation.

This study aims to examine the factors influencing the intention of Muslim Millennial Generation in Indonesia to donate cash waqf digitally.

A quantitative approach was employed, surveying 284 Muslim Millennial Generation in Indonesia. The study integrated the Decomposed Theory of Planned Behavior (DTPB) and Technology Acceptance Model (TAM) to investigate the key factors driving the intention to contribute to cash waqf digitally. The researcher analyzed data using Partial Least Squares Structural Equation Modeling (PLS-SEM).

The findings of this study indicate that all hypotheses related to the variables are supported, including both direct and indirect correlations, except for perceived religiosity. This study confirms that the decision of millennials to donate cash waqf online is influenced by various factors, including their attitudes, the environment they are in, their ability to control their behavior, their perception of the ease and usefulness of technology and the availability of suitable facilities. Knowledge of technology is also a decisive component. Nevertheless, this study yielded intriguing findings that the perceived level of religious devotion does not impact the millennials’ willingness to make online cash waqf donations.

This study’s findings offer valuable insights for waqf institutions, providing a better understanding of Muslim millennials’ characteristics and preferences regarding spending, donations and waqf activities. This understanding can be instrumental in enhancing innovative digital platforms for cash waqf in the digital economy era.

This study uniquely explores the determinants of digital cash waqf donations among Muslim Millennial Generation in Indonesia. Contributions include integrating the DTPB and the TAM for a comprehensive analysis. Cross-disciplinary perspectives from behavioral economics and digital marketing enrich the research. Comparative studies and potential longitudinal analysis enhance depth, providing nuanced insights into the dynamic factors shaping digital donation behavior among Muslim millennials.

The purpose of this study is to examine the influence of moral intensity on the ethical decision-making process of professional accountants based on a combined importance-performance map analysis (cIPMA).

Using partial least squares structural equation modeling (PLS-SEM) on data from 309 accountants, the study examined the relationships between four moral intensity dimensions: magnitude of consequences, social consensus, probability of effect and concentration of effect, and the ethical decision-making process. The study also methodologically complemented by a combined importance-performance map analysis and necessary condition analysis.

The findings reveal that moral recognition and moral judgment are necessary conditions for predicting accountants’ moral intent. However, in terms of importance and performance, moral recognition plays a less significant role compared to moral judgment. Furthermore, the influence of moral intensity dimensions is pronounced on moral recognition, while their influence on moral judgment and moral intent is more context dependent. This is also exhibited in the combined importance-performance map analysis results.

The study highlights the importance of considering specific ethical dilemmas and the differential influence of moral intensity when developing strategies to strengthen ethical decision-making in the accounting profession. Future research is encouraged to explore how cultural backgrounds and diverse settings influence accountants’ ethical decision-making with tailored measurement tools for a more comprehensive understanding.

To the best of the authors’ knowledge, the study is among the first to complement the results of PLS-SEM with importance-performance map analysis and necessary condition analysis to examine the relationship between moral intensity and ethical decision-making of accountants.

Source factors have long been a key construct in studies of word-of-mouth influence, but particularly for the digital context of electronic word-of-mouth (eWOM), source trustworthiness and parasocial relationships are worth a considerable focus. This study pays close attention to not only the effects source trustworthiness and parasocial relationships exert on eWOM influence but also the antecedents driving them. This study additionally considers the moderating role of brand credibility in the relationships between the two key constructs and eWOM influence. Confirmatory factor analysis (CFA) was conducted to assess the reliability and validity of the constructs.

A quantitative survey was sent to university students in Ho Chi Minh City, Vietnam, to collect 766 responses, which were then analyzed using an SEM approach. The sampling strategy was based on convenience and snowball sampling techniques to ensure a diverse representation of the student population. Respondents were asked to rate their perceptions of source trustworthiness, parasocial relationships, brand credibility, and eWOM influence regarding social media influencers they follow. The collected data were then analyzed using an SEM approach, utilizing software such as AMOS to validate the measurement model and test the proposed structural relationships.

The results confirm the strong impact of source trustworthiness and parasocial relationships on eWOM influence and recognize source authenticity to be the most powerful driver behind the two. Additionally, the findings suggest that brand credibility can positively moderate how source trustworthiness affects eWOM influence, with interaction effects examined through multi-group analysis.

Relevant implications for researchers and marketing practitioners are discussed, emphasizing the strategic selection of eWOM sources and the cultivation of brand credibility to enhance consumer engagement.

This study aims to investigate how user-generated content (UGC) and firm-generated content (FGC) in social media affect attitudes toward halal tourism destinations, destination image and visit intentions among female Muslim (Muslimah) travelers. It also examines the role of travel habits as the moderating variable.

This study adopts the Theory of Interpersonal Behavior (TIB) and the Theory of Planned Behavior (TPB) to explore the motivation of Muslimah travelers to visit halal destinations. The survey was completed by 284 Indonesian Muslimah respondents who had visited halal tourism destinations in Indonesia. The SEM-PLS statistical technique was used to verify the associations between variables.

This study’s findings offer valuable insights for both theoretical understanding and practical applications. They suggest that both UGC and FGC significantly predict attitudes toward halal tourism and destination image, thereby influencing the visiting intentions of Muslimah travelers. Although UGC does not directly influence visiting intentions, it does play a significant role in shaping visiting intentions through its mediating effect on attitudes toward halal tourism destinations. In addition, the results indicate that habit positively moderates the relationship between attitudes toward halal tourism and visiting intentions.

This research contributes uniquely and significantly in two aspects. First, it merges the TIB with the TPB to elucidate the decision-making process of Muslimah travelers when selecting halal destinations. This integration illuminates new insights into the intentions of Muslimah tourists. Second, this study examines the respective influences of UGC and FGC on the visiting intentions of Muslimah travelers to halal tourism destinations. By comparing UGC and FGC, the research provides valuable insights into the decision-making processes of Muslimah tourists. Given Indonesia’s status as home to the largest Muslim population globally, this study offers a novel perspective on the traveling behavior of Muslimahs and practical recommendations for the Indonesian tourism sector in the establishment and promotion of Muslim-friendly destinations within the country.