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Cryptomarkets on the dark web have emerged as a hub for the sale of illicit drugs. They have made it easier for the customers to get access to illicit drugs online while ensuring their anonymity. The easy availability of potentially harmful drugs has resulted in a significant impact on public health. Consequently, law enforcement agencies put a lot of effort and resources into shutting down online markets on the dark web. A lot of research work has also been conducted to understand the working of customers and vendors involved in the cryptomarkets that may help the law enforcement agencies. In this research, we present a ranking methodology to identify and rank top markets dealing in harmful illicit drugs. Using named entity recognition, a harm score of a drug market is calculated to indicate the degree of threat followed by the ranking of drug markets. The top-ranked markets are the ones selling the most harmful drugs. The rankings thus obtained can be helpful to law enforcement agencies by locating specific markets selling harmful illicit drugs and their further monitoring.

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 study aims to investigate the extent to which interactive performance measurement systems (IPMS), self-profiling and job challenge can improve individual performance.

The authors study the service sector in companies listed on the Indonesian Stock Exchange. From 200 distributed questionnaires, they obtain 89 usable data points, which they analyse using SmartPLS.

The authors find that IPMS improves both self-profiling and job challenge. Both variables significantly boost individual performance.

This study implies that managers can open communication channels to a subordinate to increase individual self-profiling that leads to the improvement of job challenge to generate excellent performance.

This study investigates the importance of self-profiling and job challenge at middle- to lower-level employees in the service sector who receive less attention in the field of management accounting.

Ethnic food is a pivotal polysemic artifact, yet commonly studied based on experience. This leaves an eclipse in understanding its overall significance and implications. The purpose of this paper is to explore the interactions of experience, intimacy and embodiment from the lens of alternative tourism and Asia as a destination image.

The authors conducted four focus group that include Asians who take experiential learning trips and spiritual journeys across Asia-Pacific.

Alternative tourists promote the growth of ethnic foodies who value impact which they determine as quality food-scape, longitudinal caring interactions with and the constant assurance of consuming food which are safe and healthy to their physical, emotional and spiritual well-being.

Although our research does not employ any quantitative technique and devoid of inferential analysis, the rich qualitative data offer insights for further work that benefit ethnic food industry.

Industry and policy makers are encouraged to generate contextual solutions for management of the ethnic food industry. Ethnic food consumption may flourish if the industry leads its growth through a post-modernist approach.

A broad perspective in growing the frontiers of ethnic food tourism beyond the landscape of an economic or consumerism-dominated approach would benefit the cross-mobility of quality talents and skills as this fosters cross-cultural literacy.

The authors develop the Ethnic Foodies Perspective-Ethnic Food Destination Image Matrix as a pathway to further motivate knowledge cross-fertilization in ethnic food tourism studies and leverage on the transdisciplinary science, innovation, socio- and sensuous geographic arena. A constellation of ethnic food innovation should link the economic side of exotic differentiation and heritage with food processing, safety and traceability.

The purpose of this paper is to empirically analyze the factors affecting Muslim consumers’ willingness to pay (WTP) for Halal food, products and operations by employing theory of reasoned action.

This study has used quantitative research methodology and collected data from 350 questionnaires from a densely populated city of Pakistan. Partial least squares-structural equation modeling was used to analyze the data.

The results show that the concerns about Halal, religiosity, perception of usefulness of Halal and product ingredients have a significant impact on WTP for Halal foods, while attitude has an insignificant impact on WTP. Moreover, the extent of demand for Halal certification is significantly affected by WTP.

The study highlighted the concerns of the Muslim consumers with respect to Halalness of the products and operations despite living in a Muslim country. It is recommended that the policy makers, food authorities and health institutions should conduct regular inspections of foods, products and producers’/manufacturers’ operations to ensure that all the procedures from manufacturing of the raw material till the finished goods follow Islamic principles to make them completely Halal.

The purpose of this paper is to investigate the influence of halal concern as well as emotional and epistemic values on consumer behaviour in the choice and purchase of halal-certified food supplies.

This study used a quantitative methodology of convenience sampling to collect survey data from 1,550 Muslim respondents in Malaysia. It also employed multiple regressions by covariance-based structural equation modelling in the data analysis as well as in the validation of the proposed model.

The empirical results showed that the importance of halal certification had the highest impact on consumer choice behaviour, particularly in the purchase of halal-certified food supplies. Also, epistemic and emotional values were both statistically significant in terms of their influence on the consumer decision-making process.

The results emphasize the importance of enhancing the hedonic (halal concern and emotional value) aspect as a way for the halal food industries to obtain an added value advantage for their products and services.

This paper is the first to employ an empirical approach to consider the halal sentiment as a determinant of consumer purchasing behaviour in the context of halal-certified food supplies.

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.