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In light of climate change, the design and construction of buildings needs to shift from conventional to lower-carbon practices to maximise carbon reduction. Over the past few years, the zero carbon buildings (ZCBs) approach has been promoted worldwide as an effective way to reduce environmental impacts and mitigate climate change. Although zero-carbon policies, technologies, processes and products are widely available in the construction market, construction stakeholders play an important part in adopting relevant strategies to implement ZCBs successfully. This study investigates the knowledge of construction stakeholders involved in the design and construction of buildings regarding zero carbon initiatives in New Zealand.

The research was conducted using a literature review and an online questionnaire survey with various New Zealand's construction stakeholders.

The findings indicate a low level of knowledge regarding the design and construction of ZCBs. To successfully deliver ZCBs, the study suggests that construction stakeholders must have their self-awareness increased, especially in improving knowledge of whole-of-life embodied carbon reduction. The governments and construction sectors should devote more effort to establishing training programmes and knowledge-sharing platforms to improve stakeholder knowledge in carbon literacy, building assessment methods, energy modelling and life cycle assessment.

The research implications may assist the real-world uptake of the ZCBs approach by offering academics and practitioners an insight into the ZCBs knowledge gaps.

This study aims to examine the reaction of stakeholders (i.e. capital providers) to climate-related corporate reporting. Climate-related corporate reporting is captured by the level of voluntary carbon disclosure, while the recognition and appreciation of capital providers are captured through the cost of equity capital (COE).

This study uses a sample including the 350 largest companies by market capitalization on the London Stock Exchange, UK (FTSE350) from 2015 to 2019. The authors use fixed-effects regression models to examine the effect of climate-related corporate reporting on the COE.

This study finds that voluntary carbon disclosure proxied by carbon disclosure score is negatively associated with COE. This suggests that firms’ superior quality disclosure of carbon information could contribute to a lower COE. This implies that the market and stakeholders positively appreciate the involvement in climate-related reporting by businesses.

The finding provides insights to regulators, investors and other stakeholders in terms of the positive economic implication of actively engaging in reducing climate change impact through voluntary carbon disclosure. These findings also motivate corporates to be proactively involved in climate-related reporting by extending the quality of carbon information disclosure.

Using data from Vietnam to reveal which factors affected the impressive growth of Vietnam's e-commerce during the COVID-19 pandemic.

Drawing on the Stimulus–Organism–Response (S-O-R) framework, the study proposed a conceptual model in which the influence of COVID-19 information overload (IO) on online purchase intention (OPI) was discovered. The authors were also interested in examining the moderator roles of self-construal (SC), perceived ease of use (PEOU) and perceived usefulness (PU) in inducing the intention to make an online purchase.

Perceived threat (PT) and cyberchondria (C) played full mediation roles in the impact of IO on OPI. Moreover, PT was found to be a partial mediator of the relationship between IO and C. Furthermore, interdependent self-construal (IntSC) positively moderated the positive effect of IO on PT. Finally, PU and PEOU showed significant moderated moderation effects, in which PU moderated the effects of PT and C on OPI, whereas PU itself was moderated by PEOU.

Understanding the positive effects of IO, C and PT on OPI can be useful for marketers. In addition, managers should improve the ease-of-use and usefulness of online stores/platforms to attract more consumers to online channels.

Marketers and managers should learn more about how to take advantage of IO, PT and C. For instance, to sell medical supplements, marketer should push up related-health information such as obesity, diabetics, to make consumers perceive a threat to their health and search for ways to improve their health condition. This is the time when advertisements for medical supplements bring into play. This method can be applied in many different fields. The key is that marketers should find out what is the threat that their targeted customers can perceive and then spread out a huge amount of relevant information.

The government should control infodemic and guide people to obtain official information. This helps to restrain the PT and C, which seriously harm people's health and affect their behaviors, such as making unusual or panicked purchases. This study also suggests a considerable concern that residents of Asian cultures, where IntSC is dominant, may perceive threat more than residents of Western cultures.

Limited research addresses the relationship between PEOU and PU when they act as moderators. Current research not only explains the moderation effect of PU under the influence of PEOU but also suggests that PEOU may be more important than PU in emerging markets due to customers' inexperience in online markets or channels. It also explores the factors that influenced OPI in Vietnam during the COVID-19 outbreak and contributes to the scientific literature on Vietnam, especially in terms of discovering the tendency of SC, which has not been mentioned before in research about Vietnamese.

To achieve net-zero by mid-century consistent with the Paris Agreement, companies must urgently formulate and implement decarbonization actions. While previous research has categorized numerous carbon management and carbon accounting actions, these domains have often been studied in isolation. We classify carbon management actions into four categories (inaction, ineffective, supportive and effective) and connect them to carbon accounting actions in a subsequent step, revealing four archetypical patterns of corporate decarbonization responses. The primary aim of this empirical study is to comprehensively assess how companies implement carbon management and carbon accounting actions in parallel and build an understanding of the various factors affecting each other, and how these domains affect carbon performance altogether.

This study adopted a maximum diverse sampling approach to assess carbon management actions in 22 international companies and link them to carbon accounting actions. Data sources included interviews with sustainability managers, field notes from a joint meeting and sustainability reports. The heterogeneous sample aimed for maximum diversity, covering various sectors and headquarters locations, yet all companies have communicated a commitment to reducing carbon emissions. A qualitative content analysis was used to find connections between carbon management actions and carbon accounting actions, resulting in four archetypical patterns.

The study identifies a range of carbon management actions, from inaction to effective action, and corresponding carbon accounting actions for monitoring, disclosure, and internal information use. Effective carbon management actions correlate with comprehensive carbon accounting actions, while ineffective management shows limited use of these actions. Based on these findings, we examine links between carbon management and carbon accounting and identify four archetypical patterns of corporate decarbonization responses.

This study examines the interconnectedness of carbon management and carbon accounting, identifying archetypical patterns that explain their effectiveness in reducing corporate carbon emissions. It provides a framework for analyzing companies’ carbon management and highlights the essential role of carbon accounting in monitoring, disclosing and internal data use. Said framework and conclusions can guide future research and management.

This study aimed to examine the impact of learning organization (LO) on job satisfaction and individual performance in Vietnamese enterprises. The study further explores the mediating effect of job satisfaction on the relationship between learning organization and employee performance.

Data were collected from 653 employees from various types of organizations in Vietnam. Structural equation modeling was implemented to test the hypotheses.

The results revealed that the proposed research model was supported. Results indicated that LOs positively influenced employees’ job satisfaction and the broader range of their individual performance. In addition, employees’ job satisfaction motivated them to achieve higher performance levels. The study also found a mediating effect of job satisfaction on the relationship between LO and employee performance. The results underscore the importance of implementing an LO culture for individual outcomes such as job satisfaction and employee performance in the Vietnamese cultural context, which is based on socialism and Confucianism.

To the best of the authors’ knowledge, this is the first study to examine the relationships among LO, job satisfaction and individual employee performance in the Vietnamese context. The results offer a deeper understanding of the LO concept in the Vietnamese cultural context and highlight the cultural impact on the LO concept and its effects. The results suggest how the LO concept is applied in the Vietnamese context.

This study explores the effect of local budget retention rate changes (RER) on total factor productivity (TFP) and its components in Vietnam.

The study employs a two-system generalized method of moments (GMM) estimator and data from 2012 to 2019 across all 63 provinces/cities of Vietnam.

The study finds that local budget retention rates significantly influence public investment, affecting scale and allocation efficiency. The reallocation of budgets between regions and from the central government to local levels incurs certain costs, often resulting in economically robust provinces experiencing reductions in their retention rates.

Recognizing the challenges of immediate structural budget changes due to cultural and historical factors, the study suggests a more gradual policy approach. It emphasizes the importance of policy predictability, as abrupt reductions in the retention rate lead to higher costs than gradual reductions, thus implementing budget policies with a clearer timeline. This study provides insight into local budget allocation regimes and their impact on productivity in transitioning countries.

First, the study provides fresh evidence of the impact of retention rate changes on TFP and its components in Vietnam. Second, the study provides insights into the mechanisms of the nexus of increased budget spending, capital efficiency and, most importantly, attaining improvement in education. We also offer further insights into inefficient budget allocation agents in Vietnam, especially in large cities, which should alert scholars to explore this topic further in the future.

This paper represents the first attempt to examine investor behavior for green stocks through the lens of return co-movement, and provides evidence indicating that green investment practices have gained traction after 2012.

We empirically test the hypotheses that the stock returns of firms with similar carbon dioxide emissions levels move together and, if so, whether this co-movement has increased over time as people become more “carbon-conscious.” Our baseline sample, based on carbon emissions data from public company disclosures, suffers from limited coverage, particularly before 2016, leading to low statistical power and sample selection bias. To address this, we employ machine learning methodologies to forecast the carbon emissions of firms that do not disclose such information, nearly quadrupling the sample size. Our findings indicate that stocks with similar carbon emissions exhibit higher co-movement in stock returns in both the baseline and augmented data samples. Furthermore, this co-movement has increased during the 2012–2020 period compared to the 2004–2011 period, suggesting that green investment has gained traction over time.

We find that stocks with similar carbon emissions exhibit higher co-movement in stock returns in both the baseline sample and the augmented data sample, and the co-movement has increased in the 2012–2020 period compared to the 2004–2011 years, suggesting that green investment has gained traction over time.

(1) We use machine learning methodology to augment carbon emissions sample which goes back to 2004. Our approach almost quadruples the original data, enabling large-sample testing. (2) We are the first paper to examine how green companies' stock returns co-move and thus provide complementary results on the research on expected returns and carbon emissions.

This study aims to examine how entrepreneurial climate, gender inequality perception and self-efficacy affect female students’ entrepreneurial attitudes and intentions, with the moderating role of perceived family support.

This study collected data from 466 female students studying at universities in an emerging economy, i.e. Vietnam. This study assessed the proposed relationships between the examined variables using partial least squares structural equation modeling.

The results reveal that entrepreneurial climate, as a stimulus factor, significantly influences organism factors, including gender inequality perception, self-efficacy and attitude toward entrepreneurship. Furthermore, gender inequality perception is identified as a barrier to self-efficacy, attitude toward entrepreneurship and entrepreneurial intention. Also, self-efficacy positively influences attitudes toward entrepreneurship and both factors jointly predict entrepreneurial intention. Lastly, perceived family support moderates the relationships between entrepreneurial intention and its antecedents.

This study extends the extant knowledge about the factors affecting women’s entrepreneurial attitudes and behavior, especially in emerging economies. This study’s findings assist university managers, policymakers and researchers in developing effective strategies to reduce the adverse effects of gender inequality perception and promote women's entrepreneurial behavior.

The purpose of this study is to assess the current level of knowledge on the application of text mining in tourism and hospitality (T&H) research and provide a novel comprehensive framework for the field. This study also identifies gaps and proposes future research directions.

This bibliometric study analyzes 814 journal articles, sourced from Scopus between 2004 and 2024, and uses performance analysis and science mapping using Biblioshiny and VOSviewer software.

Over 50% of the articles were published between 2022 and 2024, reflecting a surge in text-mining applications in T&H research. These studies primarily focus on topics such as customer satisfaction, sustainability, destination image and COVID-19 effects, with sentiment analysis and topic modeling being the predominant techniques. The primary data sources are online reviews and microblogs. The review also highlights recent research trends (e.g. long–short-term memory, support vector machines and crisis) and classifies them into four conceptual categories concerning the application of text mining in T&H research: How? Where? Why? When?

This study comprehensively explores the evolution of T&H, contributions from research constituents and the intellectual structure of the field, providing a novel comprehensive framework while also assessing the field and highlighting its challenges.

本研究评估了文本挖掘在旅游与酒店管理（T&H）研究中的应用现状, 并提供了该领域的全新综合框架。同时, 研究还识别了当前存在的研究空白并提出了未来的研究方向。

本研究通过文献计量分析方法, 对2004年至2024年间Scopus数据库中814篇期刊文章进行分析, 采用Biblioshiny和VOSviewer软件进行绩效分析和科学映射。

超过50%的文章发表在2022年至2024年间, 反映了文本挖掘在T&H研究中的应用激增。这些研究主要集中在顾客满意度、可持续性、目的地形象以及COVID-19影响等主题, 情感分析和主题建模是主要使用的技术。主要数据来源为在线评论和微博。该综述还揭示了近期的研究趋势（如长短期记忆LSTM、支持向量机SVM、危机管理）, 并将其归纳为四个文本挖掘在T&H研究中的概念类别：如何？在哪里？为什么？以及何时？

本研究全面探索了T&H领域的演变、研究贡献者的作用以及该领域的知识结构, 提供了一个新的综合框架, 评估了该领域的发展并突出了其挑战。

The health and environmental hazards associated with synthetic dyes have led to a revival of natural dyes that are non-toxic, environmentally benign and coupled with various functions. The study aims to investigate and develop the potentiality of a popular herb called Chromolaena odorata (C. odorata) as a sustainable and stable dyestuff in textiles.

Natural colorant extracted from C. odorata leaves is used to dye the worsted fabric, which is one of the premier end-use of wool in fashion, via the padding method associated with pre-, simultaneous and post-mordanting with chitosan, tannic acid and copper sulfate pentahydrate. The effects of extraction, dyeing and mordanting processes on fabric’s color strength K/S and color difference ΔE_CMC are investigated via International Commission on Illumination’s L*a*b* color space, Fourier transform infrared spectroscopy, scanning electron microscope, color fastness to washing, rubbing, perspiration and light.

The results obtained indicate extraction with ethanol 90% with a solid/liquid ratio of 1:5 within 1 h, and coloration with a liquor ratio of 1:5 (pH 5) within 2 h under padding pressure of 0.3 MPa are the most effective for coloring worsted fabric.

The C. odorata’s application as a highly effective dyestuff possessing good colorimetric effectiveness has expanded this herb's economic potential, contributing partly to economic growth and adding value to wool in global supply chain.

C. odorata dyestuff has prevailed over other natural colorants because of its impressive color fastness against washing, rubbing, perspiration and especially color stability for pH change.