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Shopping motivations are considered the primary stimuli for shoppers in the prepurchase stage of the customer journey. This study contributes to the understanding of how cultural factors affect shopping motivation. This study aims to understand the effect of cultural factors on shopping motivations in Eastern culture with Islam religion.

This study is based on the approach of phenomenology, and multiple methods were performed to interpret the phenomenon of shopping motivations. To this aim, 16 observations and 18 in-depth interviews were performed for data collection, and after that, data interpretation was done.

In this study, the motivations fall into product-related and hedonic motivations which are related to shopper psychology, while environmental motivations are culturally dependent. The influence of cultural factors on the individual concept of shopping motivations was identified in this study. Nine subthemes including product selection, product quality, functional, in-store service, convenience, store environment, value shopping, self-gratifications and role-playing were identified in the categories of product-related, environmental and hedonic motivations.

In non-Western countries, the store environment profoundly influences shoppers’ experience. This study clearly illustrates relationships between theory and practice in grocery shopping motivations in a non-Western context. Retailers who are active in eastern Islamic countries should pay attention to the fact that cultural and contextual factors play a significant impact on the shopping motivation and behavior of these shoppers.

In this study, shopping motivations are not fixed in different societies, and cultural and contextual factors play a significant impact in this regard. In other words, shopping motivations are fluid, and cultural factors play a significant role in their formation. This study makes two important contributions: First, cultural motivations are prominent among Muslim shoppers. Among these motivations, shopping environment motivations, including relationships with others and cleanliness, and staff behavior are very significant. These motivations are highly influenced by the culture of the context and we discover which motivations are not related to psychology alone and that the context has a significant influence on their formation. Second, hedonic motivations are also highlighted in the purchase of utilitarian products. In addition to direct effects, such as Islamic regulations on halal foods, Muslims’ religious tenets also have significant indirect effects on their behaviors and motivations.

Due to the increase in the prevalence of other risk factors of heart diseases, the age of heart disease has decreased and it has led to premature heart disease. One of the main risk factors of this disease is metabolic syndrome (MetS). One of the key ways to control MetS is dietary modification. The purpose of this study is to investigate the relationship between dietary patterns and MetS in patients with premature heart disease.

This study was conducted on 409 people with premature heart disease. The diagnosis of MetS was made based on the ATP III criteria. Dietary intake for the past year was collected using the validated semi-quantitative food frequency questionnaire. Dietary patterns were determined by factor analysis with principal components approach.

Three dietary patterns were identified, including the healthy, western and traditional patterns. The findings showed that people who followed the traditional pattern more than those who followed less had a lower risk of MetS. (OR:0.23; 95% CI: 0.11–0.52). But, no relation was observed between healthy (OR:1.45; 95% CI:0.64–3.25) and western (OR:1.04; 95% CI:0.51–2.13) patterns with MetS.

The findings of this study showed that following a traditional dietary pattern based on high consumption of whole grains, red meat, viscera, fish, eggs, high-fat dairy products, soft drinks, mayonnaise and solid oil was associated with a lower risk of MetS.

This study aims to propose a framework for Halal Food Sustainable Traceability, with the purpose of investigating the implementation of traceability and sustainability within organizations operating in the halal food industry as well as exploring the impact of these practices on organizational performance. This study examines the meat processing sector in Indonesia, focusing on medium to large-scale industrial operations. The rationale for this investigation stems from Indonesia’s substantial potential in the competitive worldwide halal food industry.

The research framework has been developed by an extensive review of relevant literature, with a specific emphasis on the cycle of the halal food sustainable traceability framework. This cycle encompasses four key stages, including the roles played by authorities, the process of standardization, the implementation phase and the importance of collaboration. The study analyses and validates data using partial least square-structural equation modeling and empirically tests the theoretical framework using 109 Indonesian halal food industry data.

The research identifies potential obstacles and difficulties that may arise during different phases of the halal food sustainable traceability framework. Concerns regarding authority, standardization, implementation and collaboration are among these. In addition, strategies for overcoming these obstacles are deliberated upon, including knowledge sharing, transparency, ongoing reporting and strategic collaboration.

The present study introduces a Halal Sustainable Traceability Framework that incorporates the principles of halal, traceability, sustainability and their effects on organizational performance. This study offers significant perspectives on the difficulties and resolutions pertaining to the traceability and sustainability of halal food in Indonesia.

This study aims to develop a system dynamics (SD) simulation model to forecast the performance of the Indonesian halal industry to verify whether decision-making has been properly executed to increase the contribution of the success factors.

This study establishes a SD-based model using three subsystems, namely, the halal assurance and certification process, the government and the export–import subsystem.

The best scenario is the third scenario or the combined scenario of providing facilities to accelerate the micro-, small- and medium-sized enterprises (MSMEs), carrying out halal certification, reducing the time for the certification process, increasing the number of the halal auditor and increasing the awareness from enterprises (both MSMEs and large enterprises) to carry out halal certification because of the internal and external motivations.

First, the demand for certification of the type of food product is acquired using the number of SMEs and large companies. Second, the model does not include the government budget as a constraint.

This study provides essential insights into implementing the best policies that can increase the performance of the halal industry.

This study revealed that relevant policy scenarios could be built after simulating and analyzing each scenario’s effect on the halal industry’s performance.

This study will enrich the scientific insight related to institutional theory and resource-based view, as those theories identify success factors associated with the performance of the halal food industry. This study will also enrich the scientific insight related to system dynamic methodology, as it is used to model the performance of the halal industry.

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 study aims to understand client food preferences and how pantry offerings can be optimized by those preferences.

This study develops and administers customized surveys to study three food pantries within the Second Harvest Food Bank of Northwestern North Carolina network. This study then categorizes food items by client preferences, identifies the key predictors of those preferences and obtains preference scores by fitting the data to a predictive model. The preference scores are subsequently used in an optimization model that suggests an ideal mix of food items to stock based upon client preferences and the item and weight limits imposed by the pantry.

This study found that food pantry clients prefer fresh and frozen foods over shelf-friendly options and that gender, age and religion were the primary predictors. The optimization model incorporates these preferences, yielding an optimal stocking strategy for the pantry.

This research is based on a specific food bank network, and therefore, the client preferences may not be generalizable to other food banks. However, the framework and corresponding optimization model is generalizable to other food aid supply chains.

This study provides insights for food pantry managers to make informed decisions about stocking the pantry shelves based on the client’s preferences.

An emerging topic within the humanitarian food aid community is better matching of food availability with food that is desired in a way that minimizes food waste. This is achieved by providing more choice to food pantry users. This work shows how pantries can incorporate client preferences in inventory stocking decisions.

This study contributes to the literature on food pantry operations by providing a novel decision support system for pantry managers to aid in stocking their shelves according to client preferences.

Electric Vehicles (EVs), owing to their low carbon emissions, have gained immense importance in achieving net-zero emissions by 2070. They have also appeared as viable substitute to conventional vehicles. Aligning with global initiatives, India has created a favourable ecosystem and has implemented several policies since 2011 to achieve its target. Consequently, the market share of EVs has surged, both globally and in India, over the past decade. Taking this into account, this study aims to identify the factors that influence EVs in a developing economy using the context of India.

This study identified important determinants of EV adoption from global literature and employed a multiple linear regression model (MLRM) using the ordinary least squares (OLS) technique. Secondary data were utilised to identify determinants in the Indian context, sourced from the Ministry, NITI Aayog, AQI, the Lok Sabha Question, and the Economic Survey of India.

This study found that the number of charging stations and local pollution levels significantly influence EV adoption in India. The insignificance of the other variables may be due to the emerging state of the Indian EV market.

This study adds to the growing body of literature on EV adoption in developing economies by analysing the factors that impact its adoption using regional data. In addition, this study provides a unique perspective on a developing economy and advocates a comprehensive policy for EV adoption that reflects long-term sustainability.

The peer review history for this article is available at: https://publons.com/publon/10.1108/IJSE-06-2023-0479.

This study facilitated restorative coordinators in co-constructing and proposing solutions to common problems in RJ implementation.

This study used grounded theory to examine barriers to equitable restorative justice (RJ) implementation in the US. Drawing on interviews and focus groups with restorative coordinators, we used a combination of inductive and deductive coding consistent with the grounded theory approach.

Coordinators distinguished between RJ as a top-down, isolated “program” versus RJ as a collaborative “practice” among all stakeholders. Only the latter was equitable, in their view, and required a consistent principal commitment to building and maintaining an inclusive school culture. Participants recommended that teacher and principal preparation provide opportunities to cultivate critical consciousness and participate in RJ practices.

Existing research on discipline reform tends to focus on outcomes, such as suspension rates. Instead, participants focused on the reform process, viewing equitable RJ as an ongoing “practice” to improve school culture. Our findings also open new discussions about leadership preparation content and pedagogy: participants called for preparation programs to cultivate critical consciousness and facility with RJ. Lastly, the study’s recruitment and focus group design raise important considerations for future RJ research.

This study aims to evaluate the nutrient content and acceptable qualities of plant-based burger patties (PBBP) formulated with chickpea flour, defatted sesame cake (DSC) flour, coffee silver skin and pomegranate juice as colorant.

The chemical composition, energy value, cholesterol content, amino acid composition, cooking loss, pH, color characteristics and sensory attributes of PBBP were analyzed using official procedures and compared to beef burger. 

PBBP had a protein value of 16.0 g/100g, which is nearly close to the protein content of the beef burger (18.1 g/100g). The fat content of the PBBP was approximately three times lower than that of the beef burger. The fiber content in PBBP was approximately 23 times as high as that in beef burgers samples (p = 0.05). The raw PBBP samples supplies 178 Kcal/100g, whereas beef burger possessed 259 Kcal/100g. Neither the raw nor the cooked PBBP samples contained any cholesterol. Both the beef and PBBP displayed acceptability scores higher than 7.0, which suggests that PBBP was well accepted.

It is concluded that the PBBP sample exhibited a protein value of 16.0 g/100g, which is comparable to the protein level of beef burgers (18.1 g/100g). The fat level of the PBBP samples was significantly lower than that of the beef burger samples. Uncooked PBBP samples contained significantly higher fiber content compared to beef burger samples. No cholesterol was found in raw or cooked PBBP samples. Overall acceptance scores for both beef and PBBP samples exceeded 7.0, suggesting that the proposed product (PBBP) was received favorably.

This study aims to find how trade development and digitalization affect smart-green production. Four factors are investigated in these effects (certification, technology innovation, natural resource management, low pesticides).

The mix-method approach was employed from validating the measurement scale to test the proposed hypotheses. At first, the grounded theory is the most authoritative and standard research method in qualitative research. Secondly, quantitative analysis was employed to draw conclusions about the impact of digitalization and trade development on smart-green agricultural production.

The results found that digitalization and trade development impact the development of smart-green agricultural production through certification employment, technology innovation, and a decrease in pesticide usage. Moreover, digitalization and trade development also indirectly affect the development of intelligent green agricultural production. Meanwhile, digitalization has a higher impact than trade development.

This research is based on the premise that digitalization and trade development can drive smart green agricultural production. Still, some studies have found a deviation between trade development and environmental protection. Hence, future research can explore the incentive effect of trade development and digitalization on other industries. Second, the measurement of the dependent variables in this study is based on the premise that smart-green agricultural production has not been widely promoted, so the changes in production before and after the whole public participation in smart-green output have yet to be reflected.

Smart green production in agriculture is essential for a transition economy and the world to meet food security and protect the environment. However, the effects of certification, technology innovation, natural resource management, and low pesticides on smart-green agriculture production have yet to be identified. Insights from this study can help governments, policy-makers, and farmers in emerging economies by adapting their strategies within their local contexts.