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Selecting an appropriate partner is a vital and strategic decision-making process in any supply chain collaboration initiative. The purpose of this paper is to introduce and explore the key factors considered by manufacturers in the selection of an appropriate retailer(s) for collaboration and collaborative planning, forecasting and replenishment (CPFR) implementation and the relationships between these factors.

A comprehensive literature review and experts’ views are applied to identify the main retailer selection and evaluation factors for CPFR implementation. A fuzzy decision-making trial and evaluation laboratory approach is then used to rank and analysis the interaction among identified factors. The findings are finally evaluated using a case study from a high-tech industry.

The most important partner selection factors comprising of five dimensions and 24 factors are introduced. Of the identified criteria, three factors: manufacturer’s familiarity with the retailer, workforce skills and training and customer service orientation and capability have been identified as critical when selecting retailers for CPFR implementation. The technological capabilities dimensions are identified as the only net cause dimension which affects all other dimensions and its importance and role in simplifying and enhancing the speed and flexibility of CPFR implementation.

The paper identifies practical retailer selection factors for CPFR implementation and the causal relationships between factors. Developed retailer selection dimensions and criteria will assist manufacturers and retailers in understanding the role these factors play in CPFR implementation. This will also assist in appropriate retailer(s) selection by manufacturers.

This paper contributes to the literature on CPFR and tackles the important issue of selecting appropriate partners by developing retailer selection dimensions and criteria in CPFR implementation.

The aim of this study is to determine the factors affecting the consumer preferences and behaviour in the children's clothing market in Turkey, a country where the majority of the population is under 18 years old.

Whilst the study investigated the purchasing preferences and behaviour of parents, such as shopping frequency and period, type of retailer and the effect of reference groups in the children's clothing market, it also explored some children's purchasing characteristics, like shopping decision age.

This study offers some academic results on consumer behaviour and preferences in the children's clothing market: There is no set shopping period; consumers prefer shopping from independent shops; in the selection of retailers, consumers consider payment conditions, pricing, and range of merchandise; in the family the parents mostly make the buying decisions for their children's clothes; the age of children making their own clothing decisions varies between six and ten; the most important factors affecting consumers' decisions towards shopping for children's clothing are the price, quality, convenience, payment conditions, and size of the clothing.

The study concentrated on consumer behaviour and preferences regarding children's clothing in a limited population – Izmir, a city of three million.

There are few studies related to children in the literature. For the first time, this study has attempted to explore the growing children's clothing market in Turkey.

Given the competitive environment and complicated relationships in supply chains in the modern era, it is important to take into account internal and external risks. In addition, proper methods must be designed to evaluate these risks correctly. The purpose of this paper is to provide a suitable map based on the artificial neural network technique to assess and classify the risk levels of retailers who have interconnected rules in the downstream of the supply chain.

In this research, a model for risk assessment with a hexagonal grid and 2D self-organizing map was applied.

According to the results, the model used in the study can provide a basis for classification of retailers based on the specified risk levels defined by the experts and risk managers of the company. Also with the model’s visual output, managers can have a better understanding of the distribution of the risk level of retailers.

The proposed methodology can be adopted by managers to assess the risk of members involved in the supply chain, helping them to formulate the risk mitigation strategies based on the risk levels.

As a part of the risk management process, organizations can use this developed method to reduce the existing risks imposed by the members or customers on the company.

This study identifies and ranks the appropriate critical success decision criteria (CSDC) for the bulk order distribution (sharing) amongst multiple manufacturers (suppliers) working as an extended enterprise (EE).

The study deploys a qualitative approach to generate the appropriate decision criteria. The balanced scorecard and Pareto's chart (using Minitab^® version 18) were used for gathering and analysing the pertinent criteria.

The process of evaluating and selecting the right manufacturers is essential. Manufacturer (supplier) selection is no longer decided solely based on cost/price criterion; currently, the quality and delivery criteria prevail. Additional incorporated criteria include price/cost, technical capability, production facilities and capacity, customer satisfaction and impression, geographical location, management and organisation, financial position, environmental concern, performance history, repair service, information technology and communication systems, procedural compliance, labour relation record, reputation, flexibility or diversification, attitude, operating controls, business desire, packaging ability, past business records, trust and loyalty, training aids, complaint handling service, warranties and claim policies, reciprocal arrangements, research and development and innovation, modern slavery concern, sustainable capability, collaborative/partnership and responsiveness. The study proposed a conceptual framework of an EE alongside how manufacturers working as a single virtual entity can consider the supply chain operations reference (SCOR^®) model.

The identified CSDC are suitable for order allocation to domestic manufacturers. The deployed approaches could be extended to the mixed and quantitative approaches for increasing the generalisability.

The study establishes the pertinent CSDC that are important to execute equitable order distribution to manufacturers in an EE framework.

This paper explores fashion availability, fit and affordability in the UK stores especially for those women who wear size 16 and over; and examines their satisfaction/dissatisfaction with the retail experience.

The satisfaction of customer needs remains a fundamental tenet of marketing theory, research and application. This survey was an exploratory study into satisfaction/dissatisfaction with the fashion provision and shopping environments for women in the UK. A questionnaire solicited the views of 250 women thereby enabling the researchers to gauge consumers' views on sizing, fit and fashion availability, perception of current offers, pricing and shopping environments.

A large percentage of females, particularly those who wear size 16 and over, are dissatisfied with retail environments, fashion and sizing provision among major UK market players. While most women shopped from the high street and department stores, the larger woman had great difficulty in finding well‐fitting fashionable clothing in general, and with certain categories being most problematic. Respondents' views would appear to contradict previously accepted wisdom that clothing consumption activity is leisure and pleasure orientated; many negative experiences prevailed leaving them unhappy and disenfranchised.

The findings presented are the views of women's experiences in one city in the UK. Future research could include a wider sample from more cities.

Marketers should be aware of the need for affordable fashions for larger women. Lack of appropriate sizes is a major source of dissatisfaction. This creates negative emotions in terms of: merchandise choice, visual merchandising, store environment, sales personnel attitude, pricing policies and promotional activities. These factors are the very foundations of consumer satisfaction and the evidence of consumer dissatisfaction resulting in avoidance behaviour should be particularly worrying for retailers, given that they are operating in an increasingly competitive and saturated fashion environment.

This paper provides an initial indication of what creates consumer satisfaction or dissatisfaction about fashion, fit, affordability and retail environments in the UK particularly among larger women. This paper shows areas of specific concern for marketers.

Consumers are spending more on leisure, and retailers and shopping centre developers are seeking ways to make shopping more of a leisure pursuit. This paper deals with the questions: what is leisure shopping, who are leisure shoppers, what is leisure retailing, and how are shopping centres providing for them?

Brief reviews of key research domains establish various meanings for leisure shopping and give some indications of who leisure shoppers are. Recent developments in shopping centres are considered. The last section discusses conceptual models, building on earlier empirical work on the functioning of shopping centres which incorporate leisure activities.

Leisure shopping is not best conceptualized as part of a continuum from purposive to leisure oriented. Rather, it may exist in a variety of circumstances, dependent on individual characteristics, trip motivations, the social setting of the trip and the nature of the destination. Leisure centres are not a separate category of centre, but the classification of shopping centres should be modified to incorporate consideration of leisure. Catering may be the most important provision.

Shopping centre managers and owners should note the complexity of leisure shopping. The best unit of analysis may be the trip, rather than other forms of customer segmentation. Synergistic benefits for retailers from some forms of adjoining leisure activity may be small.

The paper provides two models which may be used to analyse both shopping activity and shopping centres from the leisure point of view.

The purpose of this paper is to create an understanding on the magnitude and dimension of supply chain collaboration (SCC) reported in the literature. The detailed review discusses various indicators that help companies to implement collaboration successfully and create awareness on the barriers faced while initiating collaboration in supply chain (SC).

The meta-analysis includes full-text papers retrieved from the Web of Science database using verified keywords. The articles are reviewed for identifying the performance indicators used to evaluate the SC. The systematic review is performed for the collaborative techniques in the following categories: information sharing (IS); vendor managed inventory; and collaborative planning, forecasting and replenishment. The papers are then comprehensively analyzed for the approaches, and the key findings are mentioned along with the future scope.

The review suggests that the SC relationship, trust, quality of IS and technological involvement are to be focused for successful implementation of the collaborative technique. Proper collaboration helps SC partners to enhance their technique of operations in an effective manner which results in high business turnovers.

The review paper provides a quantitative study of SCC. A bird’s eye view of the scopes and benefits of using SCC for the academic scholars and industrial personnel are the primary concern discussed.

Kids get exposed to advertising on social media platforms when they visit them to perform various goals. The purpose of this study is to find out the factors which affect kids' behaviour when the kids encounter advertising on social media and also to establish causal relationships amongst the factors of social media advertising (SMA).

A total of 11 factors of SMA have been identified with the help of experts and the causal relationships amongst the SMA factors have been constructed by the implementation of decision-making trail and laboratory evaluation (DEMATEL). Based on the established relationships, a causal diagram has been also developed to understand the structural nature of interdependence amongst the factors.

DEMATEL technique is based on logical steps, which have assisted in categorising the identified factors into two groups: cause group and effect group. Cause group factors are the reasons for the effect group factors to occur. Customisation, entertainment, information and interactivity have been observed as cause factors whereas, relevance, engagement with SMA, purchase intention, product involvement, advertising value, attitude towards SMA and irritation have been observed as effect factors. Product involvement is found to have the highest level of interaction with all other factors. Information and interactivity are observed to influence all other factors.

Kids possess a limited understanding of the selling intent of advertisers which makes kids vulnerable to advertising. This study supports that the content of the advertisement should be kept in accordance with the need of kids and also suggests that marketers should emphasise cause group factors which derive subsequent consequences on effect group factors. The foremost limitation of this study lies in the process of identifying the factors through expert opinions. The sets of contextual relationships may vary when different experts are considered.

This study strives to identify the factors which affect kids' understanding of SMA and also establishes causal relationships amongst them. This kind of study is unique in state of the art and to the authors' knowledge no significant research has been conducted in India which involves establishment of inter-relationships amongst SMA factors that affect kids' behaviour.

The purpose of this paper is to develop a theoretical model to explain the impact of big data analytics capabilities (BDAC) on company’s supply chain sustainability (CSCS). The secondary objective of the study is to assess the relationship between different dimensions of supply chain sustainability and companies’ BDAC.

This research was carried out by conducting a survey among 234 pharmaceutical companies in Iran (a case study of Iran), using a standard questionnaire of BDAC and United Nations (UN) online self-assessment on supply chain sustainability. However, the respond of managers of 188 companies were usable in this research. Smart PLS3 was used to employ partial least squares method to examine the validity and reliability of the measurement and structural model.

The results of this study demonstrate that BDAC have a strong impact on both pharmaceutical supply chain sustainability, and the dimensions including vision, engage and internal. It is found that the relationships between BDAC and the other dimensions of supply chain sustainability including expect, scope and goals are not significant but positive.

Research on the relationship between BDAC and CSCS, especially in the pharmaceutical supply chain, is scanty, and this gap is highlighted in developing countries and the pharmaceutical supply chain that plays a prominent role in public health. This paper discusses several important barriers to forming a sustainable supply chain and strong BDA capabilities.

This paper could be a guide to managers and consultants who are involved in big data analytics and sustainable development. Since UN urges companies do the online self-assessment, the results of this paper would be attractive and useful for UN global compact specialists.

No study has directly measured the relation between BDAC and CSCS and different dimensions of CSCS, using a comprehensive survey throughout all pharmaceutical companies in Iran. Moreover, this research assesses the different dimensions of BDA capabilities and supply chain sustainability. This paper represents the facts about situation of sustainability of pharmaceutical supply chain and BDAC in these companies, and discloses several related issues that are serious barriers to forming a sustainable supply chain and strong BDAC. In addition, this paper provided academic support for UN questionnaire about CSCS and used it in the survey.

This paper aims to consider factors that determine the direction of international market selection. It does this with specific reference to service companies operating in the retail sector.

The paper draws on general, services and retail specific literature and considers the debate surrounding market selection issue. Hypotheses are formulated and econometrically tested using an extensive database of retailers' international activity within Western European markets.

The results show that previously identified determinants of market selection are valid. However, the results clearly indicate that some factors are more important than the literature has suggested and that the selection of markets is determined in great part by relatively few but crucially important factors.

The paper shows that language and hence, by implication, culture plays a fundamental role in determining direction of expansion. This has important implications for the way psychic distance is understood and service company response to psychic distance.