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Using data on food insecurity in Israel, this chapter suggests borrowing techniques from the literature on multidimensional poverty to measure food insecurity, a distinction being made between “nominal” and “real” food insecurity. Various counting techniques are then implemented, including the well-known approach of Alkire and Foster. The chapter ends with a section where, following recent work by Dhongde, Li, Pattanaik, and Xu (2016), a distinction is also made between “basic” and “non-basic” dimensions of food insecurity.

The purpose of this study is to understand the magnitude of the impact advergames have on children’s preferences and choices for unhealthy products and brands, in terms of time of exposure (immediate vs delayed) and number of exposures (single vs repeated exposure). Past literature has focused essentially on the immediate effects of single exposures to advergames. Few studies explored the delayed or repetition effects and found wear-out effects of multiple exposure and also no delayed effects of single exposure. Therefore, this study will reduce the existent gap in the literature by studying simultaneously both effects.

A sample of 104 children aged 6-9 years old was used, divided into three groups (no exposure/single exposure/repeated exposure) in an experimental between-subjects design setting.

The results confirm the existence of all the expected effects: exposure to advergames has immediate and longer effects on a child’s preferences and choices of the brand depicted in the advergame and in that product category. Repeated exposure to the advergame enhances all the effects on the brand, but not on the product category.

Although earlier literature has already analyzed time and repetition effects on traditional media, or sought to analyze effects of advergames but with an adult sample, this article highlights the extent of these effects with children, and based on these results, reflects on the ethicality of using advergames with children on products high in fat, salt and/or sugar.

Health is becoming an increasingly important issue in the UK as well as the rest of Europe. Emphasis on the importance of healthy eating is ongoing for many reasons, including the growing concern about childhood obesity resulting in the ban of advertising of unhealthy foods to children in the UK in April 2007. However, although legislation has been placed upon the advertising of unhealthy food products, no such restrictions have been placed on the packaging of children's foods despite the influence of packaging on consumer buyer decisions. This paper aims to investigate the effect of packaging on children's product preferences and its ability to influence parents' buyer decision in‐store.

The study was approached from the parents' rather than the children's perspective. A quantitative approach was adopted in data collection, using a 28 item Likert scaled questionnaire administered to 150 parents, with over 95 percent response rate.

The study shows that packaging does affect the product preferences of children. Also, children are particularly interested in influencing the purchase of unhealthy foods. However, parents within the study claimed that they did not succumb to their children's requests for the purchase of unhealthy food, which contradicts evidence from previous findings.

The claim by parents that they did not succumb to their children's requests for unhealthy food contradicts findings from previous research. This therefore leads to a recommendation for further studies as social desirability bias may have influenced the outcomes of the findings.

Findings from this study can be applied within the retail and service marketing sector to provide the practitioner with information relevant to decision making on children's influence on parents buyer behavior in‐store. Outcomes of the study are also important when considering the future of children's food marketing and tackling the issue of childhood obesity.

The paper demonstrates that there is a relationship between packaging and children product preferences and children's influence on parents' buyer decision in‐store.

Many European businesses are small and medium enterprises (SMEs), contributing significantly to the well-being of local economies and regions. Even so, SMEs face many challenges in fostering innovation and improving performance. Furthermore, the raw material consumption is increasing globally, necessitating the development of strategies that will reduce the number of raw materials extracted and imported while improving the sustainability of small and medium-sized businesses. Consequently, promoting circular economy (CE) strategies, such as industrial symbiosis (IS) partnerships, whereby waste products from other industries serve as a source of raw materials for companies, is critical. Identifying and analysing enablers or drivers that support IS collaborations among SMEs is necessary to achieve this goal. In this regard, the purpose of this study will explore the enablers of IS among SMEs considering sustainability dimensions (environmental, social and economic). As facing a decision-making (DM) problem, the multiple attribute decision-making (MADM) approach was applied in a hesitant fuzzy (HF) environment in this research to answer the research questions. In this regard, in phase 1, IS enablers were identified and extracted using a literature review and experts’ opinions. In phase 2, the hesitant fuzzy Delphi (HFD) method was implemented to screen and finalise the enablers identified. In phase 3, casual relations among final enablers were determined using the hesitant fuzzy ANP (HF-ANP) method. Finally, in phase 4, the relative importance of enablers was calculated using the hesitant fuzzy best–worst method (HF-BWM). Consequently, this study provided potential strategies for IS that can be implemented quickly and used by local authorities to support SMEs in achieving circular waste management.

The undesirable effects of TV advertisements and general parenting responsibility propel mothers to monitor and control the eating habits of children through meal time actions and feeding practices. The purpose of this paper is to identify feeding practices used by Indian mothers through the Comprehensive Feeding Practices Questionnaire (CFPQ) developed by Musher-Eizenman and Holub (2007) and to investigate differences in the use of feeding practices across demographic variables.

Using a cross-sectional design, a structured and pre-tested questionnaire was used to collect data from 473 mothers of children aged four to 11 years from Punjab (India). Data were analysed using exploratory factor analysis, confirmatory factor analysis (CFA) and ANOVA.

The present study confirms the validity and reliability of the nine-factor model through CFA with 28 items in the Indian context than original CFPQ. Further, significant differences exist in the responses of mothers for feeding practices followed with children across age and gender of child, mother’s education status and monthly family income.

Parents may understand the nature of feeding practices to mediate unhealthy food consumption habits of children. The government should formulate codes or regulations to sufficiently monitor food marketing activities directed at children. The food marketing companies should also act responsibly to protect well-being of children.

This piece of research is important as no such study (to the best of researchers’ knowledge) has already been conducted in India even though dietary patterns of children are transforming tremendously.

This study caries a survey approach using the expert's interview and literature to select the important criteria to select and evaluate the third-party reverse logistics providers (3PRLPs) in manufacturing companies. In total, 16 criteria are selected to evaluate 3PRLPs, and these criteria are classified on the basis of three main elements of sustainable growth, including economic, social and environmental development. Therefore, a hybrid decision-making approach is utilized to evaluate and rank the 3PRLPs in manufacturing companies.

This paper proposes a new decision-making approach using the projection model and entropy method under the interval-valued intuitionistic fuzzy set to assess 3PRLPs based on sustainability perspectives. A survey approach using the literature review and experts' interview is conducted to select the important criteria to select and evaluate 3PRLPs in manufacturing companies. To assess the criteria weight, the entropy method is used. Further, the projection model is applied to prioritize the 3PRLPs option. Sensitivity analysis and comparison process are performed in order to test and validate the developed method.

The presented methodology uses the benefits to determine the former for measuring the parameters considered and the latter for rating the 3PRLPs alternatives. A case study is taken to 3PRLPs in the manufacturing industry to illustrate the efficiency of the introduced hybrid method. The findings of this study indicate that when facing uncertainties of input and qualitative data, the proposed solution delivers more viable performance and therefore is suitable for wider uses.

The conception of the circular economy (CE) comes from the last 4 decades, and in recent years, tremendous attention has been carried out on this concept, partially because of the availability of natural resources in the world and changes in consumption behaviour of developed and developing nations. Remarkably, the sustainable supply chain management concepts are established parallel to the CE foundations, grown in industrial practice and ecology literature for a long time. In fact, to reduce the environmental concerns, sustainable supply chain management seeks to diminish the materials' flow and minimize the unintentional harmful consequences of consumption and production processes. Customers and governments are becoming increasingly aware of the environmental sustainability in the CE era, which allows businesses to concentrate more resources on reverse logistics (RLs). However, most manufacturing enterprises have been inspired to outsource their RL operations to competent 3PRLPs due to limited resources and technological limitations. In RL outsourcing practices, the selection of the best 3PRLP is helpfully valuable due to its potential to increase the economic viability of enterprises and boost their long-term growth.

With the emerging technologies, collecting and processing data about the behaviors of customers or employees in a specific location has become possible. The purpose of this paper is to evaluate existing data collection technologies.

Technology evaluation problem is handled as a multi-criteria decision-making (MCDM) problem. In this manner, a decision model containing four criteria and eight sub-criteria and four alternatives are formed. The problem is solved using hesitant analytic hierarchy process (AHP) and trapezoidal fuzzy numbers (TrFN).

The results show that the most important sub-criteria are: accuracy, quantity, ıntrospective and cost. Decision makers’ evaluate for alternatives, namely wireless fidelity (WiFi), camera, radio-frequency identification and Bluetooth. The best alternative is found as Bluetooth which is followed by WiFi and Camera.

Technology evaluation problem, just like many other MCDM problems are solved using expert evaluations. Thus, the generalizability of the findings is low.

In this paper, technology selection problem has been handled using hesitant AHP for the first time. In addition, the original methodology is extended by using TrFN to represent the expert evaluations in a better way.

Effective educational methods are critical for successfully training future supply chain talent. The paper proposes a fuzzy multi-criteria decision-making model to evaluate and select the best educational method for tomorrow's supply chain leaders integrating skill development priorities in an uncertain environment.

The Grounded theory scheme is used to identify SC leaders' skillsets criteria and educational method alternatives. Fuzzy step-wise weight assessment ratio analysis sets the priority and determines the weight of 17 criteria. Eight decision-makers evaluate 13 alternatives using fuzzy linguistic terms. Fuzzy technique for order preference by similarity to ideal solution ranks and shows the most effective educational method. Sensitivity analysis presents the applicability of this study.

Its implementation in a university-industry collaboration case in Brazil, Mentored learning from industry experts is the best educational method. The skill development priorities are data analytics ability, end-to-end supply chain vision and problem-solving. Technical skills are the most important criteria that influence the selection of the optimal option and educational methods related to learning from others rank in the top teaching pool, including multidisciplinary cross-cultural training.

This paper is among the first to evaluate educational methods with skill development priorities integration for supply chain students using fuzzy SWARA–fuzzy TOPSIS. It provides actionable insights: a decision-making procedure for educational method selection, a broad skills profile for supply chain professional success and educational methods that professors can bring to in classroom/virtual environment.

The aim of this study was to conduct a primary examination of people’s perceptions toward the concept of selling of naming rights for publicly owned sports facilities in Greece to explore the possibilities for this sponsorship practice to be introduced in the future.

In all, 410 research participants filled out a questionnaire that focused on the level of acceptance, in relation to variations of agreements, and considering decision outcomes scenarios, as also on other naming rights parameters, such as sponsors’ fit features. A modification of methods used in previous research in the context of consumers’ price perceptions in sport was adopted to investigate the potential effects from the provision of decision outcomes messages.

The research findings indicated that, in terms of acceptance from the public, there might be grounds to implement this type of sponsorship. It is suggested that an optimal way of introducing the concept should be with marketing campaigns outlining the main purpose and the prospective benefits.

Possibly, the participants perceived the prospect and scenarios provided as not very likely to happen and this might influence their responses. Future research should investigate the effects of other factors, such as attitudes toward commercialization, stadium identification and perceived financial status.

The study provides a basis for the consideration of naming rights as a sponsorship option for public sports facilities in Greece, and also offers a new perspective in the use of treatment messages as a tool for altering potential negative perceptions.

Industry 4.0 has received significant attention in today's competitive business market, necessitating a restructuring of functional domains in nearly every manufacturing organization. A comprehensive strategy to improve performance in preparation for Industry 4.0 implementation necessitates several steps, one of which is the establishment of performance outcomes (POs). The aim of this paper is to identify and rank the POs realized due to the adoption of Industry 4.0 enablers.

Based on an extensive literature review and inputs received from experts, a comprehensive list of enablers and the POs was prepared and finalized. This paper proposes a framework based on hybrid solution methodology, namely Neutrosophic Analytical Hierarchy Process (N-AHP) and Neutrosophic Combined Compromise Solution (N-CoCoSo), to rank the POs realized due to the adoption of Industry 4.0 enablers. The N-AHP methodology has been adopted to calculate the relative weights of the Industry 4.0 enablers. In comparison, the N-CoCoSo method has been adopted to rank the POs of Industry 4.0.

The proposed framework is applied to an Indian manufacturing organization to test the organization's practical applicability. Additionally, sensitivity analysis is also carried out to check the steadiness of the proposed framework. The findings of this study revealed that “Improved responsiveness to market conditions in today's competitive business environment” is the top-ranked PO of Industry 4.0, followed by “Enhanced competitiveness and better market share”, “Better product quality, through smart management of production process” and “Reduction in manufacturing waste and environmental sustainability” which could be realized due to adoption of its enablers.

This research would aid practitioners by enhancing the practitioners' capacity to understand and prioritize the various POs resulting from implementing Industry 4.0 enablers. Embracing a clear strategic plan will further assist practitioners in improving the efficiency of Industry 4.0 implementation.

Previous literature has only addressed the relationship between Industry 4.0 enablers and POs in a limited way. This paper attempts to compile a comprehensive list of Industry 4.0 enablers relevant to manufacturing organizations in order to fill this knowledge and research gap.