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Over energy consumption is one of the causes of global warming and climate change. To deal with this issue, using energy-efficient appliances is strongly encouraged and cultivating consumer loyalty toward energy-efficient appliances is crucial for long-term sustainability. This study investigates the effects of multiple dimensions of perceived value on consumer satisfaction and three outcomes of consumer loyalty (i.e. willingness to pay a premium, repurchase intention and word-of-mouth intention), considering the moderating role of the product category.

Quota sampling based on age and gender and snowball sampling methods were applied to recruit 423 participants for this study. A combination of partial least squares structural equation modeling (PLS-SEM), importance-performance map analysis (IPMA) and necessary condition analysis (NCA) was employed to examine the proposed model.

Functional, price, emotional and environmental values positively impact consumer satisfaction, enhancing the three dimensions of consumer loyalty. The product category moderates the effects of perceived value dimensions on consumer satisfaction. Moreover, the IPMA results highlight that functional value and environmental value are the most essential but underperforming value attributes. The NCA results indicate that social value is a necessary condition for consumer satisfaction.

This study is one of the pioneers in integrating PLS-SEM, IPMA and NCA approaches to comprehensively unpack the relationships between perceived value dimensions, consumer satisfaction and consumer loyalty in the context of energy-efficient appliances. The findings offer theoretical and practical importance for academics, retailers, producers and policymakers to encourage consumer loyalty toward energy-efficient appliances.

The purpose of this study was to investigate the impact of artificial intelligence (AI) adoption on knowledge workers' innovative work behaviors (IWB), as well as the mediating role of stress appraisal and the moderating role of individual learning abilities.

This study analyzed the questionnaire results of 313 knowledge workers, and data analysis was conducted by using SPSS 25.0, SPSS 25.0 macro-PROCESS and AMOS 28.0.

This study found that AI adoption has a double-edged sword effect on knowledge workers' IWB. Specifically, AI adoption can promote IWB by enhancing knowledge workers' challenging stress appraisal, while inhibiting IWB by fostering their hindering stress appraisal. Moreover, individual learning ability significantly moderated the relationship between AI adoption and stress appraisal, which further influenced IWB.

This study integrates the conflicting findings of previous studies and proposes a comprehensive theoretical model based on the theory of cognitive appraisal of stress. This study enriches the research on AI in the field of knowledge management, especially extending the understanding of the relationship between AI adoption and knowledge workers’ IWB by unraveling the psychological mechanisms and behavior outcomes of users' technology usage. Additionally, we provide new insights and suggestions for organizations to seek the cooperation and support of employees in introducing new technologies or driving intelligent transformation.

The purpose of this study is to investigate the influence of attitude, subjective norms, perceived behavioral control and perceived benefits on consumers’ intention to purchase energy-efficient appliances (EEAs) in an emerging market.

A total of 400 samples were collected via a self-administered questionnaire distributed in Kuala Lumpur, Malaysia. The data was analyzed using multiple regression analysis to assess the hypothesized relationships.

The results of this study reveal that attitude is the key predictor of consumers’ intention to purchase EEAs, followed by perceived benefits of EEAs. This positive attitude stems from the realization that reducing electricity consumption is not only crucial but also a commendable and valuable practice. They can contribute to the collective effort to mitigate climate change, reduce carbon emissions and conserve valuable natural resources. Their positive attitude toward EEAs reflects their sense of responsibility, mindfulness and desire to make an important contribution to promoting sustainability and creating a better future for generations to come.

Energy-efficient companies, retailers and marketers should implement a range of appealing cash rebate programs to stimulate immediate sales, foster future purchases of EEAs and reshape the perception that EEAs are costly. By implementing such rebate plans, the perceived financial burden on consumers is alleviated, resulting in improved attitudes toward EEAs and heightened recognition of their perceived benefits. Consequently, this encourages a surge in demand for EEAs, thereby further propelling the growth of the industry. These sustainable practices align with SDG 9 (Industry, Innovation and Infrastructure) and SDG 12 (Responsible Consumption and Production).

This study stands out for its exceptional contribution to theory, as it applies the theory of planned behavior as the underpinning theory and simultaneously integrates the perceived benefits of EEAs into the proposed model, aiming to foster consumers’ intention to purchase EEAs. What sets this study apart is its examination of an emerging market, which complements and expands upon previous research predominantly conducted in developed (Western) economies.

Research into older adults' use of social media remains limited. Driven by increasing digitalisation in China, the authors focus on Chinese older adults (aged 60–75)’ use of WeChat.

This study used a qualitative interpretive approach and interviewed Chinese older adults to uncover their social practices of WeChat use in everyday life.

By using social practice theory (SPT), the paper unfolds Chinese older adults' social practices of WeChat use in everyday life and reveals how they adopt and resist the drastic changes in Chinese society.

The study contributes to new understandings of SPT from technology use by emphasising the dynamic characteristics of its three elements. The authors synthesise both adoptions and resistance in SPT and highlight the importance of understanding three elements interdependently within specific contexts, which are conditioned by structure and agency.

The aim of this study is to examine the ownership impact on firm sustainable investments (FSIs). In particular, this research examines the link between institutional investor ownership (IIO), managerial ownership (MOWN) and FSIs in the tourism industry in Malaysia.

This study uses a data set of 346 firm-year observations from 2008 to 2020 and applies feasible generalized least squares (FGLS) regression analysis. The study sample is based on tourism firms listed on Bursa Malaysia (the Malaysian Stock Exchange).

There is a significant positive association between IIO and FSIs. When IIO is classified into foreign (FIIO) and local (LIIO), this significant association is mainly driven by FIIO. In addition, there is a significant, positive association between managerial ownership (MOWN) and firm sustainable investments (FSIs). These findings imply that firm ownership has an influence on FSIs in the tourism industry.

This is the first attempt to consider IIO and MOWN simultaneously in a single model estimation. The findings contribute to emerging capital markets where the involvement of ownership concentration in the governance of publicly listed firms is a common practice.

Corporate ESG performance has attracted widespread attention from various sectors of society. This paper aims to investigate whether analysts’ ESG attention can convey additional information to the market and consequently influence stock pricing efficiency.

Using A-share listed companies from 2014 to 2021 as the research subjects, this paper employs a deep learning algorithm, word2vec, to construct an ESG dictionary. Text analysis is then applied to create an analysts’ ESG attention index, delving into its impact on stock pricing efficiency.

Empirical research reveals that: (1) Analysts' ESG attention effectively enhances stock pricing efficiency, with a more significant impact from analysts’ attention to environmental (E) and social (S) factors compared to governance (G); (2) Further analysis indicates that this effect becomes more pronounced when there is higher disparity in corporate ESG ratings, greater marketization in the province where the company is located, and a higher institutional ownership percentage and (3) The mechanism by which analysts' ESG attention influences stock pricing efficiency is through an elevation in investor attention and stock liquidity. Additionally, it is observed that analysts prioritize ESG information to enhance their reputation and business capabilities.

From the perspective of ESG rating divergence, this paper innovatively uses analyst reports to construct ESG attention indicators and analyzes their impact on the efficiency of stock pricing.

With the increasing number of institutions offering online degree programs, there is a growing need to understand the requirements for interactions and the challenges present in online learning environments. Consequently, this qualitative study aims to explore aspects of nontraditional students, typically defined as older than traditional college age, employed full-time or with family responsibilities.

This study employs a qualitative approach, conducting in-depth interviews with nine nontraditional students. Grounded in social presence theory, this study analyzed the experiences and viewpoints of nontraditional students in the online learning environment, utilizing thematic analysis.

Thematic analysis unveiled two major themes: interactions in online learning and challenges in online learning. Four sub-themes emerged from interactions in online learning (interaction with instructors, interaction with peers, content interaction and interface interaction). In addition, three sub-themes emerged from challenges in online learning (timing inflexibility, tools and technological barriers and diverse learning modes). The findings of this suggest that nontraditional students derived benefits from online learning, yet they faced limitations in peer interaction and experienced technological barriers.

This study is based on primary data collected from nontraditional students, offering valuable insights into the needs and challenges they face in higher education while engaged in online learning.

Based on the available literature, this paper aims to build a theoretical framework identifying the following five factors influencing electric vehicle (EV) adoption: 1) demographic factors, 2) environmental factors, 3) infrastructural factors, 4) economic factors and 5) fiscal policy factors. The authors then identified the variables representing these factors and built a linear regression model. The authors collected cross-sectional data of the identified variables of Indian states and estimated the regression model using the ordinary least squares method.

India has witnessed a rapid adoption of EVs in the two-wheelers and three-wheelers segment. The paper aims to identify the factors influencing EV adoption in India.

The estimated results indicate that EV adoption is significantly increasing in India due to the rising population and increasing number of power charging stations. The authors also found that government policy incentives have no significant impact on EV adoption.

The study’s findings and the recommended changes in India’s current EV policy aim to help policymakers achieve faster adoption of EVs in India.

The authors further conducted a sentiment analysis of the people’s comments on popular YouTube videos and found that most people have negative sentiments towards EV adoption because of battery-related problems and range anxiety.

This paper shows that local mutual funds lead firms to engage in corporate social activities locally – corporate community investment (CCI).

Using an extensive US sample of 3,691 firms for the period of 2005–2018, we find that mutual funds investing in local firms tend to increase CCI. To address endogeneity concerns, we employ an instrumental variable (IV) approach with the S&P 500 Index and Russell 1000/2000 Indexes, which suggests a causal effect of local mutual funds on CCI. Our robustness tests include alternative measures of CCI and local ownership as well as different samples using sole-HQ firms, time lags and a matching sample analysis. In addition, we employ alternative approaches for causality tests.

We find that mutual funds investing in local firms tend to increase CCI. In addition, our results indicate that CCI tends to increase firm performance measured with Tobin’s Q and operating cash flow, especially in the consumer-oriented industries where customer relations are critical. The findings imply that CCI is considered as building reputational and relationship capital in communities (i.e. strategic intangibles related to stakeholders). Local mutual funds can help firms develop such strategic intangibles that promote shareholder value.

Our study is the first to investigate the role of local institutional shareholders as a driving force of a firm’s community investments.

Architecture, engineering and construction (AEC) is an important industry worldwide and one of the largest economic sectors in several developing countries, particularly in Iran. The Iranian AEC sector suffers from low productivity and needs to adopt building information modeling (BIM) to reduce inefficiencies. Therefore, this paper was conducted to identify the BIM barriers and propose practical solutions to overcome them in Iran.

A comprehensive literature review, two rounds of the Delphi technique and semi-structured interviews with 12 Iranian experts in the AEC sector were conducted. The data were analyzed using the mean score, standard deviation and nonparametric tests.

The present study identified 26 BIM barriers in the Iranian AEC community and provided practical strategies for improving BIM adoption. The identified barriers were categorized into six main groups including source barriers, financial barriers, unawareness barriers, organizational barriers, regulatory barriers and market-demand barriers. The main three BIM barriers in Iran were the lack of government intervention, change-resistant and the gap between industry and academia. Kruskal–Wallis tests revealed that there are no statistically significant differences in perceptions of BIM barriers between respondents. The Mann–Whitney test indicated that there is no statistically significant difference in perceptions between engineers and architects except for one.

There are few studies on BIM adoption across developing countries, particularly in Iran. Moreover, the results can also be used in other developing nations with similar conditions.