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This study aims to investigate the relative impacts of the cognitive dissonance on brand switching (BS) and satisfaction level (SAT) by considering the mediation role of purchase regret (PRG) in these relationships in an online shopping context.

The data was collected from 354 participants, and structural equation modeling and mediation analysis were conducted to test the conceptual model hypotheses.

The findings revealed that the cognitive dissonance positively affects PRG. Also, the study indicated a negative and nonsignificant relationship between cognitive dissonance and SAT and a negative significant relationship between cognitive dissonance and BS. In addition, a positive and significant correlation was found between PRG and BS. Furthermore, the results revealed that PRG mediates the relationship between cognitive dissonance and SAT.

This research provides a novel contribution by examining the impact of the cognitive dissonance on BS and SAT and uncovering the underlying mechanism of how and under what conditions cognitive dissonance promotes BS and SAT in an online shopping context.

This research endeavours to achieve two primary objectives within the context of regenerative tourism (RT). Firstly, the study aims to explore the trends and conceptual structure of RT, mapping its scope through a bibliometric analysis. Building upon the knowledge garnered from the initial exploration, the second aim is to establish a regenerative stakeholder framework for tourism, grounded in biodiversity.

Data from the Web of Science (WoS) and Scopus were collected for a bibliometric analysis in this research. The merged database found a total of 42 publications.

Based on bibliometric analysis in Biblioshiny, six indicators were identified (e.g. the annual publications, the most cited studies, productive countries, journals and thematic map). Furthermore, the authors' keyword analysis was conducted using the VOSviewer software package, revealing four clusters, namely, stakeholders, ecotourism, circular economy and climate change.

This research's scope is restricted to Scopus and WoS through 21 February 2024. Future research could broaden RT perspectives through different databases.

The research offers the RT stakeholder framework developed based on the RT and stakeholder theory.

This research advances awareness of the Earth's current needs and the literature on tourism stakeholders by establishing a biodiversity-based regenerative stakeholders' framework in which both human and non-human stakeholders can coexist.

本研究旨在实现再生旅游背景下的两个主要目标。首先, 研究旨在通过文献计量分析探讨再生旅游的趋势和概念结构, 通过映射其范围来实现目标。第二个目标是在从初步探索中获得的知识基础上, 建立一个以生物多样性为基础的旅游再生利益相关者框架。

本研究收集了来自Web of Science（WoS）和Scopus的数据, 进行了文献计量分析。合并后的数据库共找到42篇出版物。

基于Biblioshiny中的文献计量分析, 识别了六个指标（例如, 年度出版物, 最常引用的研究, 富有成效的国家, 期刊和主题图）。此外, 使用VOSviewer软件包进行了作者的关键词分析, 揭示了四个簇, 即利益相关者, 生态旅游, 循环经济和气候变化。

本研究的范围限于截至2024年2月21日的Scopus和WoS。未来的研究可以通过不同的数据库拓宽再生旅游的视角。

该研究提供了基于再生旅游和利益相关者理论发展的再生旅游利益相关者框架。

本研究通过建立一个以生物多样性为基础的再生利益相关者框架, 增进了对地球当前需求和旅游利益相关者文献的认识, 在这个框架中, 人类和非人类利益相关者可以共存。

Esta investigación tiene dos objetivos principales dentro del contexto del turismo regenerativo. El primer objetivo es explorar las tendencias y la estructura conceptual del turismo regenerativo, mapeando su alcance a través de un análisis bibliométrico. El segundo objetivo, basándose en el conocimiento obtenido en la exploración inicial, es establecer un marco de agentes del turismo regenerativo fundamentado en la biodiversidad.

En esta investigación se recopilaron datos de la Web of Science (WoS) y de Scopus para realizar un análisis bibliométrico. La base de datos combinada encontró un total de 42 publicaciones.

A partir del análisis bibliométrico en Biblioshiny se identificaron seis indicadores (por ejemplo, las publicaciones anuales, los estudios más citados, los países productivos, revistas y el mapa temático). Además, se realizó un análisis de palabras clave de los autores utilizando el software VOSviewer, que reveló cuatro grupos, a saber: agentes, ecoturismo, economía circular y cambio climático.

El alcance de esta investigación se limita a Scopus y WoS hasta el 21 de febrero de 2024. Futuras investigaciones podrían ampliar las perspectivas del turismo regenerativo a través de diferentes bases de datos.

La investigación ofrece el marco de los agentes del turismo regenerativo desarrollado a partir de la teoría del turismo regenerativo y los grupos de interés.

Esta investigación avanza en el conocimiento de las necesidades actuales de la Tierra y en la literatura sobre los grupos de interés del turismo al establecer un marco de actores regenerativos basado en la biodiversidad en el que pueden coexistir agentes humanos y no humanos.

The limited existing literature on the future research direction regarding how servitisation and the halal supply chain interact motivates this study. The paper aims to integrate servitisation into the halal supply chain by proposing an integration roadmap for successful adoption in the halal industry.

The study used the preferred reporting items for systematic reviews and meta-analyses method. Initially, 1,830 documents from Scopus and Web of Science were reviewed. After screening and refining, 1,241 documents remained. The authors then assessed these in full text, narrowing it down to 61 papers for the study.

The study discovered that the literature concerning servitisation and halal supply chains lacks essential conceptualisation, presenting an opportunity for exploration within the halal industry. Furthermore, it revealed that integrating servitisation into the halal supply chain can foster sustainable business growth and enhance customer satisfaction. Additionally, the study indicated that the interaction between servitisation and the halal supply chain may impact customers’ purchasing decisions and improve profit generation performance.

The study confirmed that integrating servitisation into the halal supply chain is crucial. The proposed roadmap aims to enhance the firm’s service delivery performance and impact customer purchasing behaviour through increased brand loyalty. In terms of industrial implications, the study offers guidance for industries transitioning to servitisation. The integration of servitisation in the halal supply chain can enhance efficiency and the ability to provide halal products that align with customer preferences and requirements.

This study suggests integrating servitisation into halal supply chains and provides a roadmap for exploring future research directions towards sustainable business growth. It not only offers thematic research direction but also practical insights. The roadmap can guide future research and development, enhancing business efficiency and customer experiences. This study reveals the potential of servitisation in halal supply chains and encourages further research on their interaction.

This study examines the moderating role of female directors on the relationship between the firms’ characteristics and tax avoidance in an emerging economy.

This study employs the second-generation unit root test and the generalised method of moments (GMM) techniques. The Kao residual cointegration test corroborates a long-run cointegration among variables.

Female directors demonstrate mixed and unusual findings. No significant impact of female directors on tax avoidance is found. In addition, the presence of female directors does not show any negative or significant moderating impacts on the relationship between leverage, firm age, board size and tax avoidance. However, having more female directors can negatively and significantly moderate the relationship between more profitable firms, larger firms and tax avoidance. These findings show that the board of directors could use the presence of female directors to maximise their opportunistic behaviour, such as to avoid tax.

Research limitations – The study is limited by considering only 62 listed firms. The scope could be extended to include non-listed firms.

Research implications – There is increasing pressure for female directors on boards from diverse stakeholders, such as the European Commission, national governments, politicians, employer lobby groups, shareholders, and Fortune and Financial Times Stock Exchange (FTSE) rankings. This study provides input to decision-makers putting gender quota laws into practice. Our findings can help policy-makers adopt regulatory reforms to control tax avoidance practices and enhance organisational legitimacy. Policymakers can change their policy to include female directors up to the threshold suggested by the critical mass theory.

This is the first attempt in Bangladesh to explore the role of female directors in the relationship between the firms' characteristics and tax avoidance. The current study has significant ramifications for bringing gender diversity into practice as a component of good corporate governance.

The purpose of this paper is to delve into the intricate link between job satisfaction and employees’ turnover intentions. To accomplish this, a detailed structural model was constructed, incorporating five essential constructs: job satisfaction, turnover intention, satisfaction with financial factors, satisfaction with non-financial factors and external factors.

The research used a questionnaire with 28 items based on established tools, focusing on five different constructs. The model’s validation involved applying structural equation modelling to 147 non-managerial employees in microfinance institutions.

The findings reveal a significant negative correlation between job satisfaction and turnover intention. Satisfaction with financial factors significantly outweighs satisfaction with non-financial factors in shaping job satisfaction. In addition, the impact of external factors on turnover intention was observed to be minimal and inconsequential.

This review highlights the importance of investigating the moderating factors in the job satisfaction–turnover relationship, distinguishing between types of satisfaction and conducting longitudinal studies across diverse contexts. It notably presents a diverse range of recent findings in this field, emphasising the breadth of the results that have emerged in this area of research.

Understanding job satisfaction and turnover intention is crucial for microfinance institutions. By prioritising efforts to enhance job satisfaction through improved financial offerings and non-financial factors like a supportive work environment and opportunities for growth, organisations can effectively mitigate turnover rates and foster success.

The study underscores the societal value of supportive work environments beyond just benefits and career opportunities. By understanding the external influences on employee satisfaction, organisations can contribute to building more decent workplaces and promote social well-being, while advocating for social considerations in organisational practices.

This paper uses a novel integrated model comprising five distinct constructs not previously used together. It stands among the pioneering works that not only elucidate the correlation between job satisfaction and turnover intention but also delineate the constituents of job satisfaction itself.

This study aims to investigate the practical utilisation of Artificial Intelligence (AI) techniques in combating credit card fraud (CCF) within the accounting and finance sectors. It will evaluate the efficacy of machine learning (ML), blockchain and fuzzy logic in detecting fraudulent transactions, aiming to provide valuable insights for professionals including fraud examiners, auditors, accountants, bankers and organisations. The research seeks to determine whether AI and ML methods yield beneficial outcomes in the realm of credit card fraud detection (CCFD). It will focus on applying AI and ML techniques in CCFD, incorporating interviews, cross-country questionnaires and a sample size of 403. The study endeavours to contribute to understanding the optimal mechanism for detecting CCF and its potential for widespread application.

As lubricating oils are used, their performance deteriorates and they become contaminated. The purpose of this paper is to investigate the lubrication performance of reclaimed 5 W-30 a fully synthetic used engine oil (UEO) with wear tests after refining it from a solvent-based extraction method using solvent (1-PrOH) and adsorbent materials such as cement, celite and deep eutectic solvent (DES).

The treated oil mixtures were prepared by blending engine oils with various adsorbent materials at 5% (w/w) in organic 1-PrOH solvent at a UEO: solvent ratio of 1:2 (w/w). The measurement of kinematic viscosity, density, the total acid number (TAN) and elemental analysis of oil samples was done by the ASTM standards D445/D446, D4052, D974 and D6595, respectively. Adsorbents and treated oil samples characterized by SEM-EDX, FTIR and UV analysis, respectively. Meanwhile, lubricating performance in tribological applications was evaluated through the wear test device using a rotating steel alloy 1.2379 cylinder and a stationary 1.2738 pin under 20, 40 and 80 kg load conditions. Worn surface analysis was done with SEM and 2.5D images.

It was found that when using the combination of cement and celite as an adsorbent in the reclamation of used engine oil demonstrated better lubricant properties. The properties of used engine oil were improved in the manner of kinematic viscosity of 32.55 from 68.49 mm²/s, VI (Viscosity index) value of 154 from 130, TAN of 3.18 from 4.35 (mgKOH/g) and Fe content of 11 from 32 mg/L. The anti-wear properties of used engine oil improved by at least 32% when 5% cement and 5% celite adsorbent materials were used together.

The paper is based on findings from a fully synthetic 5 W-30 A5 multi-grade engine lubrication oil collected after driving approximately 12.000 km.

The results are significant, as they suggest practical regeneration of used engine oil is achievable. Additionally, blending fresh oil with reclaimed used engine oil in a 1:1 ratio reduced wear loss by over 10% compared to fresh oil.

Reusing used engine oils can reduce their environmental impact and bring economic benefits.

This study showed that the properties of UEO can be enhanced using the solvent extraction-adsorption method. Furthermore, the study provided valuable insights into the metal concentrations in engine oil samples and their impact on lubrication performance. The order of the number of the grooves quantity and the possibility of the observed scuffing region trend relative to the samples was UEO > 5W-30 fresh oil > Treated oil sample with the adsorbent cement and celite together.

The peer review history for this article is available at: https://publons.com/publon/10.1108/ILT-06-2024-0209/

This study aims to develop accurate prediction models for heating and cooling demands in buildings equipped with solar panels. By integrating renewable energy technologies, the goal is to design nearly energy-neutral buildings that significantly reduce energy consumption and enhance overall efficiency.

The research utilizes deep learning models to address variables in building design, an area that previous studies have not fully explored. A dataset from arid climate regions was used to train and test two deep learning models to predict building energy consumption and solar energy output. The evaluation focused on how well the models predicted heating and cooling needs, as well as the amount of energy solar panels would need to generate in order to meet these demands. This approach represents an advancement over previous methodologies by integrating deep learning techniques with energy prediction in the context of arid climates, where energy efficiency is a critical concern.

The deep learning models developed in this study were highly accurate in predicting both heating and cooling requirements and the energy output from solar panels. This suggests that these models can effectively support the design of energy-efficient buildings, ensuring that the solar panels provide enough energy to cover the building’s needs.

This study introduces a novel method for predicting solar panel performance by integrating building characteristics with energy consumption, moving beyond traditional reliance on environmental factors. It optimizes energy management systems for arid climates, enhancing accuracy and applicability. The use of deep learning models with optimization techniques ensures precise and flexible predictions, providing a holistic solution for energy-efficient building design. The findings provide useful insights for architects and builders looking to create nearly zero-energy buildings, advancing the field of green building technologies.

This chapter delves into the captivating world of Spice Tourism, exploring its transformative potential within the enchanting landscapes of Nepal. Amidst the rich tapestry of culture, history and natural beauty, this chapter unravels the intricate interplay between spices, meaningful tourism and sustainability. It sheds light on how Spice Tourism has the power to redefine travel experiences and infuse meaning into tourism in the region. Unveiling the path to meaningful tourism, it offers invaluable insights into the untapped possibilities of Spice Tourism in Nepal. This chapter serves as a beacon for practitioners, scholars and policymakers, illuminating strategic approaches to harness the allure of spices and promote Nepal as a prime Spice Tourism destination in South Asia.