Search results

This study investigates the influence of consumption values on green Fast-Moving Consumer Goods (FMCG) purchase behaviour in the context of green household cleaning products in the Western Province of Sri Lanka.

We used the survey strategy and 326 effective responses as the sample of this study.

Our findings reveal that specific consumption values, specifically functional, conditional and epistemic values, significantly impact green FMCG purchase behavior towards green household cleaning products. However, social and emotional values did not substantially influence this behavior.

The results of our study suggest practical implications for green FMCG marketers aiming to boost consumer adoption of green household cleaning products in Sri Lanka. To achieve this, marketers should focus on enhancing consumer value perceptions and strategically emphasize the consumption values consumers prioritize. Green FMCG marketers have a competitive advantage in the Sri Lankan market by doing so.

This research addresses a notable gap in the literature concerning green FMCG purchase behavior related to green household cleaning products within international and local contexts. Furthermore, this study distinguishes itself by adopting the Theory of Consumption Values as its foundational theory, offering fresh insights compared to previous research employing alternate theories, such as the Theory of Planned Behavior and the Theory of Reasoned Action, to examine similar phenomena.

To significantly adopt and improve indoor energy efficiency in building infrastructure in developing countries can be a challenging venture. Thus, this study aimed to assess the satisfaction of indoor environmental quality and its effect on energy use intensity and efficient among student housing.

The study is quantitative and hinged on the contrast theory. A survey of 1,078 student residents living in purpose-built student housing was contacted. Using Post-Occupancy Evaluation and Multiple Linear Regression, critical variables such as thermal comfort, visual comfort and indoor air quality and 21 indicators were assessed. Data on annual energy consumption and total square metre of the indoor area were utilised to assess energy use intensity.

The study found a direct relationship between satisfaction with indoor environmental quality and energy use intensity. The study showed that students were more satisfied with thermal comfort conditions than visual and indoor air quality. Overall, these indicators contributed to 75.9% kWh/m² minimum and 43.2% kWh/m² maximum energy use intensity in student housing in Ghana. High occupancy and small useable space in student housing resulted in high energy use intensity.

Inclusions of sustainable designs and installation of smart mechanical systems are feedback to student housing designers. Again, adaptation to retrofitting ideas can facilitate energy efficiency in the current state of student housing in Ghana.

Earlier studies have argued for and against the satisfaction of indoor environmental quality in student housing. However, these studies have neglected to examine the impact on energy use intensity. This is novel because the assessment of energy use intensity in this study has a positive influence on active design incorporation among student housing.

The authors investigate the impact of the stringency of environmental policy on the financial performance of European automobile manufacturers. This paper contributes to the debate about the impact of environmental policy on a firm's competitive performance.

The authors use cross-country sector-level panel data for 71 firms from 18 European countries from 2010 to 2019. The authors apply a fixed-effect model and then, to address the endogeneity issues, the authors use the generalized method of moments (GMM) model. To further examine the validity of the results, the authors use a data-mining modeling approach as a robustness test.

By considering the dynamic impact of environmental policy and overcoming the endogeneity issues, the results show that the impact of the stringency of environmental policy on a firm's financial performance depends on the time horizon: the stringency of environmental policy has a short-term negative impact but a long-term positive impact on a firm's financial performance.

The authors limited the study to the auto industry in Europe. In addition, future research could consider the impact of environmental policy on other financial performance indicators such as Return on Sales or Return on Equity. Also, it would be interesting to conduct a similar study in the United States or China using a firm-level data set to examine the robustness of the results.

Stringency of environmental policy improves a firm's financial performance in the long term. It is essential for firms and managers to consider the dynamic impacts of environmental policy on their financial performance and adopt a long-term perspective when evaluating the costs and benefits of complying with environmental regulations. The findings help management develop a long-term vision for investment and budget allocation. The results support management's view for strategic decision-making against the common budget argument and challenges for stockholders when it comes to adopting new technologies and planning long-term investment.

It is crucial for firms to recognize the broader societal benefits that come with environmental policy. Firms must not only focus on their financial performance but also on their social responsibility to protect the environment and contribute to the greater good. Therefore, firms must take a long-term perspective and recognize the broader societal benefits of environmental policy in order to make informed decisions that support both their financial success and their social responsibility.

This paper contributes to the literature by helping to explain the inconsistent results of studies about the impact of environmental policy on a firm's competitiveness. Using a firm's financial performance as one of the main metrics for competitiveness, this study takes into account both endogeneity and contemporaneity in evaluating the impact of the stringency of environmental policy on a firm's financial performance.

The purpose of this study is to investigate the pivotal role of environmental innovations in driving sustainability practices within medium and large manufacturing firms operating in Uganda.

Using a cross-sectional and quantitative methodology, data were collected through a questionnaire survey involving 208 manufacturing companies. The smart partial least squares path modelling technique was used for the analysis.

The analysis unveils significant and positive associations. Specifically, product innovation exhibits a robust and affirmative relationship with sustainability practices. Similarly, the correlation between process innovation and sustainability practices emerges as statistically significant. Moreover, the findings underscore the noteworthy and constructive predictive influence of environmental innovation on sustainability practices.

These empirical results present substantial implications for theoretical frameworks and practical applications. From a policy perspective, the findings emphasise the importance of incentivising eco product and eco process innovations as potential drivers of eco-friendly practices. On the managerial front, strategic resource allocation and the adoption of integrated environmental innovation strategies are advocated, with the ultimate goal of enhancing sustainable business approaches within Uganda’s manufacturing subsector.

To the best of the authors' knowledge, this study represents the inaugural attempt to investigate the role of environmental innovations in elucidating sustainability practices within a least developed country. Notably, while all dimensions demonstrate significance, it is noteworthy that product innovation emerges as the more substantial contributor to the promotion of sustainability practices.

Grounded in the stakeholder theory and signaling theory, this study aims to broaden the research agenda on environmental, social and governance (ESG) investing by uncovering public sentiments and key themes using Twitter data spanning from 2009 to 2022.

Using various machine learning models for text tonality analysis and topic modeling, this research scrutinizes 1,842,985 Twitter texts to extract prevalent ESG investing trends and gauge their sentiment.

Gibbs Sampling Dirichlet Multinomial Mixture emerges as the optimal topic modeling method, unveiling significant topics such as “Physical risk of climate change,” “Employee Health, Safety and well-being” and “Water management and Scarcity.” RoBERTa, an attention-based model, outperforms other machine learning models in sentiment analysis, revealing a predominantly positive shift in public sentiment toward ESG investing over the past five years.

This study establishes a framework for sentiment analysis and topic modeling on alternative data, offering a foundation for future research. Prospective studies can enhance insights by incorporating data from additional social media platforms like LinkedIn and Facebook.

Leveraging unstructured data on ESG from platforms like Twitter provides a novel avenue to capture company-related information, supplementing traditional self-reported sustainability disclosures. This approach opens new possibilities for understanding a company’s ESG standing.

By shedding light on public perceptions of ESG investing, this research uncovers influential factors that often elude traditional corporate reporting. The findings empower both investors and the general public, aiding managers in refining ESG and management strategies.

This study marks a groundbreaking contribution to scholarly exploration, to the best of the authors’ knowledge, by being the first to analyze unstructured Twitter data in the context of ESG investing, offering unique insights and advancing the understanding of this emerging field.

This systematic literature review presents the evolution of accounting-related research in the Indonesian context. We examine 55 academic articles from the initial 296 records of accounting and finance research in the Q1 Scopus-indexed journals from 1995 to 2022. This study sheds light on Indonesia’s main research streams, unique settings and urgent future research agenda.

This study adopts a systematic approach for a comprehensive literature review. We select articles according to a series of criteria and compile the metadata for the bibliographic mapping.

Our bibliometric analysis suggests five main research streams, namely (1) political connection, (2) capital market, (3) audit and accountability, (4) firm policy and (5) banking. We identify the following distinctive country settings, which are well discussed in extant literature: political connection, two-tier board system, weak accounting profession, information opacity and cultural impact on accounting. We outline prospective agendas to examine the institutional mechanisms’ role in addressing major environmental challenges through accountability.

This study offers unique contributions to the literature by comprehensively reviewing accounting-related research in Indonesia. Despite Indonesia’s economic and environmental importance, it has received limited attention from scholars. Using dynamic topic analysis, we highlight the need to examine the role of informal institutions, such as political connections and culture and formal institutional mechanisms, such as corporate governance and environmental disclosure.

This study aims to examine the key antecedents influencing the private firm’s intention to adopt big data analytics (BDA) in developing economies. To do so, the study follows the sequential explanatory approach.

To test the hypothesized model that draws on the technology–organization–environment (TOE) framework paired with the diffusion of innovation (DOI) theory, a purposive sampling technique was applied to gather data from 156 IT and management domain experts from the private firms that intend to adopt BDA and operate in Pakistan’s service industry, including telecommunication, information technology, agriculture, and e-commerce. The data were analysed using the partial least squares structural equations modelling (PLS-SEM) technique and complemented with qualitative analysis of 10 semi-structured interviews in NVIVO 12 based on grounded theory.

The empirical findings revealed that the two constructs – perceived benefits and top management support – are the powerful drivers of a firm’s intention to adopt BDA in the private sector, whereas IT infrastructure, data quality, technological complexity and financial readiness, along with the moderators, BDA adoption of competitors and government policy and regulation, do not significantly influence the intention. In addition, the qualitative analysis validates and further complements the SEM findings.

Unlike the previous studies on technology adoption, this study proposed a unique research model with contextualized indicators to measure the constructs relevant to private firms, based on the TOE framework and DOI theory, to investigate the causal relationship between drivers and intention. Furthermore, the findings of PLS-SEM were complemented by qualitative analysis to validate the causation. The findings of this study have both theoretical and practical implications.

Modern human society has continuous advancements that have a negative impact on the quality of the air. Daily transportation, industrial and residential operations churn up dangerous contaminants in our surroundings. Addressing air pollution issues is critical for human health and ecosystems, particularly in developing countries such as Egypt. Excessive levels of pollutants have been linked to a variety of circulatory, respiratory and nervous illnesses. To this end, the purpose of this research paper is to forecast air pollution concentrations in Egypt based on time series analysis.

Deep learning models are leveraged to analyze air quality time series in the 6th of October City, Egypt. In this regard, convolutional neural network (CNN), long short-term memory network and multilayer perceptron neural network models are used to forecast the overall concentrations of sulfur dioxide (SO₂) and particulate matter 10 µm in diameter (PM₁₀). The models are trained and validated by using monthly data available from the Egyptian Environmental Affairs Agency between December 2014 and July 2020. The performance measures such as determination coefficient, root mean square error and mean absolute error are used to evaluate the outcomes of models.

The CNN model exhibits the best performance in terms of forecasting pollutant concentrations 3, 6, 9 and 12 months ahead. Finally, using data from December 2014 to July 2021, the CNN model is used to anticipate the pollutant concentrations 12 months ahead. In July 2022, the overall concentrations of SO₂ and PM₁₀ are expected to reach 10 and 127 µg/m³, respectively. The developed model could aid decision-makers, practitioners and local authorities in planning and implementing various interventions to mitigate their negative influences on the population and environment.

This research introduces the development of an efficient time-series model that can project the future concentrations of particulate and gaseous air pollutants in Egypt. This research study offers the first time application of deep learning models to forecast the air quality in Egypt. This research study examines the performance of machine learning approaches and deep learning techniques to forecast sulfur dioxide and particular matter concentrations using standard performance metrics.

The purpose of this article is to assess the extent to which environmental economic practices are recognized and implemented in developing countries, with a specific emphasis on the Nigerian construction sector.

To examine the extent of awareness and usage, a quantitative research approach was adopted with close-ended questionnaires disseminated to construction professionals in Nigeria. The collected data were subjected to analysis using various statistical techniques such as percentages, frequencies and mean scores. Furthermore, to investigate any significant differences in the respondents' opinions, the Kruskal–Wallis H-test was applied.

The study's findings indicate that the level of awareness and implementation of environmental economic practices among construction professionals in Nigeria is limited. Based on the findings of this study, a roadmap of recommendations has been proposed to promote the adoption of environmental economic practices in the Nigerian construction industry. The implementation of these recommendations can help reduce the negative impact of construction activities on the environment and public health and contribute to the development of sustainable cities, communities and societies.

The outcomes from this study can inform policy and decision-making by providing insights into the level of knowledge and awareness of environmental economic practices among construction professionals in Nigeria.

The findings from this study provide a baseline for assessing the level of knowledge and awareness of sustainable practices among construction professionals in Nigeria, which can inform future studies on the effectiveness of training and awareness programs.

The purpose of this study is to get a clearer knowledge of the reasons for, approaches to and challenges associated with integrating sustainable development concerns into pipeline construction projects in New Zealand. To achieve this, this study delves deeply into sustainable construction to understand the reasons behind and incorporate sustainable development trials into their newly established product management and development procedure. As a result, this study looks at identifying key elements of sustainable construction practices and various interpretations of sustainability in the construction industry; offering a strategy for incorporating sustainable construction practices into the pipeline construction project in New Zealand; and benefits and difficulties that the construction industry encounters when implementing sustainable construction. Finally, a framework is developed to help in understanding the issues and potential solutions for integrating sustainable building methods into the pipeline construction project in New Zealand.

This study followed a four-step method (Figure 1), beginning with the identification of the data, continuing with the first screening of the data, determining eligibility and, finally, including the data. This data collection is being done to provide knowledge and direction for further research. Data were collected from various websites on the Web of Science and from Scopus databases. Additionally, data were gathered with the assistance of aggregator databases such as Scopus (scopus.com) and publishing databases such as Elsevier (sciencedirect.com), Inderscience, Taylor and Francis (tandfonline.com), Emerald Insight (emeraldinsight.com) and Google Scholar. These databases have been considered by a number of scholars to be reputable databases.

This research provided a thorough description of the key justifications for sustainable construction. This study demonstrated how the idea worked in practice by reviewing the literature on the relevance and analysis of sustainability in construction. This body of research identified crucial components of sustainable construction techniques and varied interpretations of sustainability in the construction industry. To better grasp the current application considerations in the construction sector, it also offered literature on sustainable construction methods. To determine the most effective strategy to make certain adjustments to the current construction processes, the literature also includes a wide range of sustainability-related topics in both developed and developing country contexts. This study also demonstrated the many perspectives and strategies for sustainable behaviors. Because the purpose of this study was to develop a strategy for implementing sustainable construction in New Zealand, it was of the utmost importance to shed light on the most well-known and prominent sustainable construction applications from across the world. The output of this aim provided the literature on construction practices to acquire insight into the ongoing conversations on sustainable practices and systems in the construction industry. This was done to obtain insight into the existing talks.

This research's contribution to the body of knowledge is demonstrated by the fact that this study has led to a better understanding of sustainable construction practices in the construction industry as well as the identification of the most significant challenges that businesses, organizations, educators and policymakers must face to improve their ability to put these strategies into practice. This research has provided a solid foundation for future research that aims to advance knowledge in this field by providing options for future research to evaluate the influence that the approach has had on enhancing the implementation of sustainable construction. Additionally, this study presents options for future research to evaluate the influence the approach has had on improving the implementation of sustainable construction. The successful completion of the research aim in the more traditional forms of higher education in the built environment can contribute to a better representation of new trends in the practice area associated with expanding and improving the construction industry sustainably.