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The purpose of this paper is to achieve intelligent superstore site selection. Yonghui Superstores partnered with Cardinal Operations to incorporate a tremendous amount of site-related information (e.g. points of interest, population density and features, distribution of competitors, transportation, commercial ecosystem, existing own-store network) into its store site optimization.

This paper showcases the integration of regression, optimization and machine learning approaches in site selection, which has proven practical and effective.

The result was the development of the “Yonghui Intelligent Site Selection System” that includes three modules: business district scoring, intelligent site engine and precision sales forecasting. The application of this system helps to significantly reduce the labor force required to visit and investigate all potential sites, circumvent the pitfalls associated with possibly biased experience or intuition-based decision making and achieve the same population coverage as competitors while needing only half the number of stores as its competitors.

To our knowledge, this project is among the first to integrate regression, optimization and machine learning approaches in site selection. There is innovation in optimization techniques.

The current study is aimed at analyzing whether and how organizational constraints (i.e. lack of autonomy) and individual characteristics (i.e. psychological capital) are related to work alienation in subordinates and supervisors, and whether the often hypothesized relationship between autonomy and work alienation is moderated in a three-way interaction (autonomy × psychological capital × hierarchical level). The hypotheses are developed by drawing on the tenets of the job demands-resources model.

The study is based on two-wave survey data from 294 Dutch employees (subordinates and supervisors).

The paper finds that autonomy is more negatively related to work alienation for subordinates with low psychological capital than for subordinates with high psychological capital. Autonomy is negatively related to work alienation for leaders, independent of their level of psychological capital.

Antecedents of work alienation have received substantial attention from researchers. The authors aim to better understand these antecedents by highlighting differences between supervisors and subordinates.

The study develops a decision support system for the spatial distribution of store flyers, identifying a number of factors related to the demand and the competition influencing the complexities of their allocation to the target population.

The model was developed incorporating the insights found in existing marketing literature and bypassing the limitations of the managerial practices. To this end, an in-depth discussion with a panel of retailers was held. The model was tested in collaboration with a retail chain.

The proposed system is flexible and provides an almost endless array of solutions in accordance with the retailer's strategic approach to the market. It captures the key trade-offs that need to be made during the decision-making process of a retailer with limited marketing resources.

The traditional managerial approach, based on a set of operational steps, is overtaken by a model that systematically considers the interrelationships between the decision-making factors involved.

This is the first attempt to analyse spatial distribution of store flyers, a topic that has yet to be explored in retail marketing research. The paper conceptualises the key variables which affect the optimisation problem and reviews the different streams of extant research to obtain the appropriate insights.

This teaching case aims to analyze the business model of Amaro, a company that directly sells lifestyle goods to end consumers (B2C), focused on the women's market. Amaro's original business model is introduced and a challenging dilemma is proposed: could Amaro innovate its business model, moving from a digitally native vertical brand (DNVB)-type company to a platform, specifically a vertical marketplace focused on the female audience? Would Amaro be prepared for this evolution or would it be more appropriate to focus on or strengthen the DNVB model?

This teaching case was developed based on in-depth interviews with Amaro's leadership. The teaching notes were proposed based on business model innovation, competitive positioning and market trends concepts. The teaching case considers a new type of business model called DNVB. Students can review the concepts, create analyses and recommend which strategic options can leverage the company for a new growing cycle.

Using the case study in the classroom should promote the discussion and reflections on business model innovation and the future of retail in omnichannel contexts - Amaro offers products online (on an e-commerce platform and native mobile applications) and physically in locations called guide shops. The authors suggested the adoption of frameworks and tools (e.g. the competitive positioning map to allow students to visualize ways to compare strategies and make decisions).

The case introduces a fictional dilemma related to the decision to maximize offline or online investments or completely change the company's business model by adding a new vertical marketplace approach.

This teaching case contributes to the student's learning about business model innovation and evolution. Case discussions could explore contemporary concepts such as value proposition, disintermediation and omnichannel commerce.

Offering goods directly to the consumers by using modern technological architecture through vertical integration within the supply chain makes the DNVB business model an original topic in the start-up segment.

The study examined the personal information management (PIM) challenges encountered by faculty in six universities in Ghana, their information refinding experiences and the perceived role of memory. The study tested the hypothesis that faculty PIM performance will significantly differ when the differences in the influence of personal factors (age, gender and rank) on their memory are considered.

The study was guided by a sample survey design. A questionnaire designed based on themes extracted from earlier interviews was used to collect quantitative data from 235 faculty members from six universities in Ghana. Data analysis was undertaken with a discrete multivariate Generalized Linear Model to investigate how memory intermediates in the relationship between age, gender and rank, and, refinding of stored information.

The paper identified two subfunctions of refinding (Refinding 1 and Refinding 2) associated with self-confidence in information re-finding, and, memory (Memory 1 and Memory 2), associated with the use of complimentary frames to locate previously found and stored information. There were no significant multivariate effects for gender as a stand-alone variable. Males who were aged less than 39 could refind stored information irrespective of the memory class. Older faculty aged 40–49 who possess Memory 1 and senior lecturers who possess Memory 2 performed well in refinding information. There was a statistically significant effect of age and memory; and rank and memory.

This study was limited to faculty in Ghana, whereas the study itself has implications for demographic differences in PIM.

Identifying how memory mediates the role of personal factors in faculty refinding of stored information will be necessary for the efforts to understand and design systems and technologies for enhancing faculty capacity to find/refind stored information.

Understanding how human memory can be augmented by technology is a great PIM strategy, but understanding how human memory and personal factors interplay to affect PIM is more important.

PIM of faculty has been extensively examined in the literature, and limitations of memory has always been identified as a constraint. Human memory has been augmented with technology, although the outcome has been very minimal. This study shows that in addition to technology augmentation, personal factors interplay with human memory to affect PIM. Discrete multivariate Generalized Linear Model applied in this study is an innovative way of addressing the challenges of assimilating statistical methodologies in psychosocial disciplines.

While it is essential to further research the growing diversity in western metropolitan cities, little is currently known about how the members of various ethnic communities acculturate to multicultural societies. The purpose of this paper is to explore immigrants’ cosmopolitanism and acculturation strategies through an analysis of the food consumption behaviour of ethnic consumers in multicultural London.

The study was set within the socio-cultural context of London. A number of qualitative methods such as in-depth interviews, observation and photographs were used to assess consumers’ acculturation strategies in a multicultural environment and how that is influenced by consumer cosmopolitanism.

Ethnic consumers’ food consumption behaviour reflects their acculturation strategies, which can be classified into four groups: rebellion, rarefaction, resonance and refrainment. This classification demonstrates ethnic consumers’ multi-directional acculturation strategies, which are also determined by their level of cosmopolitanism.

The taxonomy presented in this paper advances current acculturation scholarship by suggesting a multi-directional model for acculturation strategies as opposed to the existing uni-directional and bi-directional perspectives and explicates the role of consumer cosmopolitanism in consumer acculturation. The paper did not engage host communities and there is hence a need for future research on how and to what extent host communities are acculturated to the multicultural environment.

The findings have direct implications for the choice of standardisation vs adaptation as a marketing strategy within multicultural cities. Whilst the rebellion group are more likely to respond to standardisation, increasing adaptation of goods and service can ideally target members of the resistance and resonance groups and more fusion products should be exclusively earmarked for the resonance group.

The paper makes original contribution by introducing a multi-directional perspective to acculturation by delineating four-group taxonomy (rebellion, rarefaction, resonance and refrainment). This paper also presents a dynamic model that captures how consumer cosmopolitanism impinges upon the process and outcome of multi-directional acculturation strategies.

This study presents the applicability of a model-based approach for loyalty program forecasting using smartphone app in the digital strategy of the retail industry.

The authors develop a dynamic model with the cyclical structure of customer segments through customer experience. They use time-series data on the number of members of the loyalty program, “Seven Mile Program” and confirm the validity of the approximate calculation of customer segment share, customer segment sales share and aggregate sales performance. The authors present three medium-term forecast scenarios after the launch of a smartphone payment service linked with the loyalty program.

The sum of the two customer segment shares for forecasting (the sum of the quasi-excellent and excellent customer ratios) is about 30% in each scenario, consistent with an essential customer loyalty (true loyalty) share obtained in the existing empirical study.

Digital strategy in the retail industry should focus more on estimating and forecasting average amounts of customer segments and the number of aggregated customers through the digitalization on the customer side than on individual customer journeys and responses.

Multi-scenario evaluation through simulation of dynamic models from a systemic view can be used for decision-making in retailing digital strategies.

This study builds a model that integrates the cyclicality of customer segment transition through customer experiences into a loyalty matrix framework, which is a method that has previously been used in the hospitality industry.

Amidst burgeoning attention for global value chains (GVCs) in international business (IB), this paper aims to identify a clear “missing link” in this literature and discusses implications for research and corporate social responsibility (CSR) policy-making and implementation.

The paper combines an overview of relevant literature from different (sub)disciplinary fields, with insights from practitioner and expert interviews and secondary data.

Because IB GVC research stems from a focus on lead firms and their producing suppliers, it lacks attention for intermediary actors that may significantly impact the organization of production in general, and firms’ CSR commitments in particular. Import intermediaries are often “hidden” in GVCs. This paper indicates the emergence of GVC parallelism with “frontstage” chains managed by lead firms and increasingly exposed to public scrutiny following calls for transparency and CSR, and “backstage” ones in which buyers and intermediaries operate more opaquely.

This study points at salient yet little known practices and actors that influence the organization of production and the implementation of CSR policies in various ways, and therefore offers ground for reflection on the design of proper supply chain and CSR policies.

This study exposes a hitherto neglected category of actors in GVCs and broader IB research and discusses implications, relevance and areas for further investigation. An illustrative example explicates the importance of carefully considering this “missing link”. The study emphasizes the need for further study into ways in which both lead firms and intermediaries deal with contradicting demands of implementing CSR policies and offering competitive prices with short lead times.

The objective of the study is to develop a methodology to strategically rank store locations using criteria such as population, store site characteristics, economic considerations, competition and so on to select the most optimal retail convenience store location.

A case of National Capital Region, India, for a 24-h convenience store was considered for the study and the major criteria that affect the performance of a convenience store are identified, such as population characteristics, economic criteria, competition, consumer accessibility, store size, total cost, site attractiveness and security. Fuzzy AHP is utilized to find the weightage for each criteria and a combination of fuzzy TOPSIS and grey relational analysis (GRA) is applied to rank the alternative using these criteria weight. Further, results obtained are compared with results from fuzzy TOPSIS and fuzzy VIKOR methods. Sensitivity analysis is also performed for ensuring the robustness of the framework.

It is observed that outcomes do not change under various settling coefficient values, demonstrating that the methodology is very robust. The developed framework will be quite useful to diverse retailers looking to expand and generate substantial profits.

A large sample size of number of locations encourages generalization of results. Strategic ranking of the selected locations is carried out on a few selected criteria. The study was limited by the designated geographical area.

The study contributes to the few available articles on convenience store selection using combination of fuzzy AHP, fuzzy TOPSIS and GRA for a developing country.

Using panel data on gasoline and grocery transactions in Korea, the purpose of this paper is to empirically explore the effect of a retail chain store’s establishment of on-site fuel sales. The empirical analyses present strong empirical evidence that the sale of fuel had statistically and economically significant effect on retail store traffic and revenue in the short run. However, the effect did not remain significant in the longer run. To explain the dramatic decrease in the effect of the fuel sale, the authors consider the enhanced competition in the local gasoline retail industry and examine cross-sectional price variations at the station level. The results suggest that the increased competition led to the reduction in the price dispersion across stations and thereby to an increase in consumer welfare.

Using a linear specification that has traditionally been used to model retail chain data, the authors developed a series of difference-in-differences models. This technique is ideal for estimating the effect of a treatment in the presence of possible selection bias and has been widely employed in many social-science studies on policy intervention.

In a certain environment, introducing fuel sales did not increase retail chain store traffic or revenue in the long run, despite having statistically and economically significant effects in the short run. The results document empirical evidence of myopic management in a common marketing practice, which often leads to a negative impact on the firm value in the long run.

The span of data and sample size were limited to meet the company’s data protection policy.

Considering that many of developed countries are characterized by a gasoline retail environment similar to that which is investigated in this paper, the authors believe that the implications of the results are particularly valid for practitioners and policy makers.

The findings document empirical evidence of myopic management in a common marketing practice, which often leads to a negative impact on the firm value in the long run. Marketing researchers should make efforts in establishing metrics to help identify myopic management decision.

This paper addresses an interesting and practical issue related to the effects of the introduction of gasoline sales by a supercenter store on its store traffic.