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The purpose of this paper is to investigate the effect of four controllable parameters (fuel mixture, evaporation bubble point temperature, expander inlet temperature and condensation dew point temperature) of a solar-driven organic Rankine cycle (ORC) on the first-law efficiency, the exergetic efficiency, the exergy destruction and the volume flow ratio (expander outlet/expander inlet).

Nine experiments as per Taguchi’s standard L9 orthogonal array were performed on the solar-driven ORC. Subsequently, multi-response optimization was performed using grey relational and principal component analyses.

The results revealed that the grey relational analysis along with the principal component analysis is a simple as well as effective method for solving the multi-response optimization problem and it provides the optimal combination of the solar-driven ORC parameters. Further, the analysis of variance was also employed to identify the most significant parameter based on the percentage of contribution of each cyclic parameter. Confirmation tests were performed to check the validity of the results which revealed good agreement between predicted and experimental values of the response variables at optimum combination of the input parameters. The optimal combination of process parameters is the set with A3 (the best fuel mixture in the context of optimal performance is 0.9 percent butane and 0.1 percent pentane by weight), B2 (evaporation bubble point temperature=358 K), C1 (condensation dew point temperature=300 K) and D3 (expander inlet temperature=370 K).

In this research, the Taguchi-based grey relational analysis coupled with the principal components analysis has been successfully carried out, whereas for any optimized solution, it is required to have a real-time scenario that may be taken into consideration by the application of different soft computing techniques like genetic algorithm, simulated annealing, etc. The results generated are purely based on theoretical modeling, and, for further research, experimental analyses are required to consolidate the generated results.

This piece of research work will be helpful to users of solar energy, academicians, researchers and other concerned persons, in understanding the importance, severity and benefits obtained by the application, implementation and optimization of the cyclic parameters of the solar-driven ORC.

Diesel engine can produce power more efficiently with lower exhaust emissions when operated at optimum input parameter settings. To achieve this goal, the purpose of this paper is to optimize the input parameters of diesel engine which will lead to optimum performance and exhaust emissions.

To achieve the goal of improving diesel engine performance and exhaust emissions, four input parameters were considered in the study. Five different levels of each input parameter were taken. Four response variables under no load, half load and full load conditions were recorded. Experiments were performed in random manner according to selected Taguchi L25 orthogonal array. The data were analyzed using grey relational analysis coupled with principal component analysis. Analysis of S/N ratio was performed to obtain the optimum combination of input parameters. The grey relational grade at optimum setting of the input parameters was obtained by regression analysis.

Results of the current research work give the optimum input parameter settings for no load, half load and full load conditions of diesel engine. Engine produces power more efficiently with low exhaust emissions when operated at these optimum settings.

In view of the compliance to the stringent air pollution norms of the nations and fast depleting fossil fuels, it is of the utmost importance to design and operate the engine in the optimum range of its input parameters so that it produces more power with low exhaust emissions. This paper aims at optimizing input parameters of diesel engine to improve performance and exhaust emissions. Results of the study presented in this paper are significantly useful for diesel engine-related researchers and professionals.

From the literature review, it appears that only few researchers have conducted studies pertaining to the optimization of the input parameters of diesel engine to improve performance or exhaust emissions. Although few studies related to the optimization of compression ratio, fuel injection timing, fuel injection pressure and air pressure have been reported, no work related to optimization of temperature and pressure of turbocharged air has been reported. Therefore, the main focus of the current research work is on optimizing the charge air temperature and pressure with respect to performance and exhaust emissions.

The purpose of this paper is to analyse the determinants of financial inclusion among women-owned informal enterprises in India.

The study is based on a primary survey of 321 informal enterprises. The data has been collected through a structured questionnaire. A chi-square test has been used to examine the significant association between the characteristics of informal enterprises and their owners and financial inclusion. A logistic regression model has been developed to analyse the determinants of financial inclusion among women-owned informal enterprises.

A significant and negative association has been found between business duration and entrepreneurs’ experiences with financial inclusion. In addition, the chi-square test shows a significant association between resource capability, use of ICT by enterprises and financial inclusion. Further, logistics regression shows that duration of business, entrepreneurial experience, resource capability in terms of machinery and equipment use, and ICT are significant determinants of financial inclusion among women-owned informal enterprises.

There are several practical implications for national policymakers and other stakeholders, such as banks and international bodies working on financial inclusion. It is suggested that while designing the policy for financial inclusion among woman-owned informal enterprises, it should ensure that experience and older woman entrepreneurs are included in financial inclusion schemes.

There has been very few research on financial inclusion in woman-owned businesses. However, no research has been conducted on the financial inclusion of women-owned informal businesses. This study fills a gap by investigating the factors that influence financial inclusion in women-owned informal businesses.

This paper aims to examine existing literature on halal food consumption from the perspective of consumer behaviour research. It identifies progress, current state and gaps and provides direction for future research to advance the field.

This paper reviewed papers from 2007 to 2023 using Scopus and WOS databases. The review used the Theories–Context–Characteristics–Methods (TCCM) framework and followed the scientific procedures and rationales for systematic literature reviews (SPAR-4-SLR) protocol.

The review summarises the methods, theory and approaches used in the topic and presents key findings and a proposed framework. It can guide future researchers in developing their models, making it a valuable starting point for future research. Despite the existence of SRL in halal food to the best of the authors’ knowledge, this work is the first review that proposes a model for halal food in consumer behaviour.

This review provides a twofold contribution. First, this review's theoretical contribution is advancing consumer behaviour literature on halal food. Second, this work's practical contribution is to enrich practitioners' understanding of the antecedents of consumer behaviour regarding halal food. This is the first review proposing a consumer behaviour model for Halal food. It makes a theoretical contribution to understanding consumer behaviour on Halal food and provides practical insights for practitioners.

This paper aims to investigate the factors that motivate consumers to pay for halal logistics certification and consequently demand for its certification in Pakistan.

The study used a sample of 302 respondents from the city of Karachi, Pakistan and used partial least square structural equation model. The study used consumers’ perception, concern and personal societal perspective to determine their willingness to pay and the demand of halal certification.

Results revealed that all of the aforementioned variables are significant and positive except perspective usefulness which has insignificant and negative relationship with consumer willingness.

Pakistan is an Islamic state and people living there are very cautious about the food items they eat and the procedures they follow. Therefore, this study contributes to evaluate such factors that influence consumer willingness to pay for halal logistics in Pakistan. Furthermore, this study suggests policymakers and 3rd party logistics service providers to educate their potential consumers about halal logistics and halal certification.

This review paper aims to provide a comprehensive retrospective analysis of the research landscape in the Halal industry through a threefold approach, including bibliometric analysis, latent theme identification and examination of driving factors of research citations.

A total of 2,510 research documents, identified from the Scopus through a systematic search, were considered for review. The review methods included bibliometric analysis of the domain, application of the machine learning structural topic modeling (STM) to identify latent themes and negative binomial regression to estimate the impact of paper, author and geographical characteristics on citation rates.

In addition to bibliometric insights, the STM uncovered 10 key topics within the Halal industry literature, including certification processes, dietary practices, consumer behavior, ethical considerations, supply chain management, market dynamics, Halal tourism, verification methods, regulatory frameworks and Halal food production and marketing. Positive associations with citation rates were found for abstract length, number of keywords, paper age, number of references, funding, number of authors and international collaboration, while a negative association was observed for authorship from Malaysia.

This paper, besides providing insights into research dynamics and citation patterns, also guides future research avenues in the Halal industry.

This study aims to examine the moderator effect of religiosity on the relationship between halal brand awareness and habit towards purchasing decisions of halal products.

The quantitative method is used in this study. Descriptive and statistical (multiple and moderated regression) analyses are employed to test the hypothesis according to the research model. The data is collected using a cross-sectional design from 197 respondents consisting of business owners in North Sumatera, Indonesia.

It is found that both halal brand awareness and habit have a positive and significant effect on the purchasing decision of halal products. Meanwhile, religiosity significantly acts as a moderating variable in the relationship between awareness and purchasing decisions, as well as habit and purchasing decisions.

This study revealed the important factor of religiosity as a moderating factor in purchase decisions of halal products. The government may need to collaborate with Islamic educational institutions to raise awareness of the halal concept and product awareness. It is assumed that individuals who know about the Islamic religion will have a higher degree of awareness of halal products compared to individuals with limited knowledge of Islam; thus, providers of Islamic education play a crucial role in raising the level of awareness of halal products. Schools may serve as catalysts for the dissemination of knowledge of halal products.

Developing halal product markets can be done by enhancing the religiosity level of consumers, one of them through attending formal or informal religious classes.

The purpose of this study is to provide a comprehensive exploration of academic research on halal purchasing decisions and consumer behavior by integrating bibliometric and systematic review methodologies.

This study uses a multi-method approach, combining bibliometric and systematic review methodologies, to comprehensively analyze the domain of halal purchasing decisions and consumer behavior. A data set of 184 articles published between 2007 and 2024 was sourced from the Scopus database. The bibliometric analysis was conducted using Bibliometrix in R, facilitating performance analysis, science mapping and network analysis to explore key authors, affiliations, collaborations and thematic trends. Additionally, the systematic review examined the limitations and future research areas discussed in prior studies, providing the basis for formulating potential research questions to address identified gaps.

The study identifies significant contributions within the domain of halal purchasing decisions and consumer behavior, emphasizing the critical roles of religiosity, trust and halal certification as dominant themes. Bibliometric analysis reveals key authors, influential publications and collaborative networks, highlighting Malaysia as a central hub for research in this field. Additionally, the analysis underscores the intellectual structure and thematic evolution, identifying underexplored areas such as non-Muslim perspectives, emerging halal industries and geographic diversity. The systematic review complements these insights by addressing recurring methodological and theoretical limitations, offering targeted recommendations for future research.

This research uniquely combines bibliometric and systematic review methodologies to provide a comprehensive review of the halal consumer behavior literature, identifying limitations and gaps in prior studies and proposing actionable areas for future research.

The available research works dealing with Halal food are centrally concerned with the Halal certification, logistics, export market, consumer awareness and business ethics with minimal study explores Muslim consumers’ purchase behaviour of Syubhah semi-processed food. The purpose of this study is to investigate the relationship between Muslim consumers’ knowledge on the wholesomeness, labelling, trust and purchase behaviour of Syubhah semi-processed food.

The study respondents are Muslim consumers in the semi and rural areas. Through a self-administered survey, 780 usable responses were successfully collected. The study hypotheses were analysed using the partial least squares structural equation modelling. Mediation analyses were conducted, focusing on the effect of trust on the relationship between consumer knowledge on the wholesomeness, labelling and purchase behaviour of Syubhah semi-processed food.

This study confirms that lack of knowledge on the wholesomeness and labelling among the semi and rural Muslim consumers influences them to purchase the Syubhah semi-processed food. Trust significantly plays a significant mediation role on the consumer Syubhah semi-processed food purchase behaviour.

This study confirms there is lack of knowledge among the semi and rural Muslim consumers on Syubhah semi-processed food. Such pessimistic indications of Syubhah food products carry varying consequences and implications for Muslim consumers, Halal food producers and the relevant religious authorities.

The research investigates the relationship between halal credence, awareness, certification, need for cognition (NC), effort, health consciousness, and satisfaction towards halal food (STHF). In addition, observe the influence of STHF on purchase intention explored. Finally, religiosity is examined as a moderator between STHF and halal purchase intention.

The data was collected from Muslim participants in Guangzhou and Shenzhen, China. A total of 476 respondents take part in this research. The data was collected from Muslims who eat food from halal food hotels. A purposive sampling technique is used to collect data from respondents. PLS-SEM is followed to test the proposed hypotheses.

The results reveal that halal credence, awareness, certification, effort, and health consciousness increase STHF. Conversely, NC does not influence STHF. Moreover, STHF significantly determines halal purchase intention. Finally, religiosity strengthens the positive association between STHF and purchase intention.

Food marketers and policy decision-makers can use research findings to enhance halal purchase intention. In China, Muslim customers usually search for halal food by putting in extra effort and seeing halal certification. They trust halal food because religiosity is their priority.

This initial research incorporates halal credence, halal awareness, certification, NC, effort, health consciousness, STHF, and religiosity to examine halal purchase intention using the theory of planned behavior (TPB).