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The purpose of this paper is to study the positioning points of successful retail enterprises in China, and to try to conclude the general law for selecting the positioning points.

By analyzing the evaluation data of countrywide samples and the impact factors of customer satisfaction, the authors select some successful retail enterprises in China to be the study samples. On the base of that, the performance concerning positioning points of the samples are discussed.

The paper reaches five valuable conclusions: first, successful retail enterprises have definite positioning points; second, successful retail enterprises commonly have a main positioning point and a second best positioning point; third, successful retail enterprises could choose commodity, service, price or shopping environment as their positioning point; fourth, retail enterprises in the same retail format could have different positioning points; fifth, the non‐positioning points of successful retail enterprises are usually above the industry average level, while those of retail enterprises in successful tendency could hardly reach the industry average level.

The limitation of samples (only large‐scale supermarkets) might still make the practical applications on other retail formats limited. Meanwhile, the criteria for identifying the successful enterprises in this paper are mainly customer satisfaction and loyalty, without considering the financial performance.

The conclusions in this paper have great significance for Chinese retail enterprises to establish a unique competitive advantage.

The conclusion concerning positioning points of this paper might be the first to answer the key issues in Chinese retail enterprises' positioning strategies.

The idea that “anything goes” in enterprise zones certainly is not the case, particularly as regards retailing. Floorspace size limits on new retail developments, stringent in some cases, are commonplace. John Dawson and Leigh Sparks look at the various schemes and compare the restrictions, which have been set to exclude superstores, hypermarkets, discount stores and the like.

The purpose of this paper is to investigate the key features of the community retail enterprises sector in the UK.

This paper reports on the results of a postal questionnaire survey of 197 community retail enterprises. The information gathered from this survey was supplemented by visits to 21 of the shops run by these enterprises and short interviews with some of the shop staff.

The community retail enterprise sector is growing very quickly, with a significant number of new shops opening every year in the UK. It is a very diverse sector that provides a wide range of goods and services, reflecting the desire to meet the needs of members and local residents. It is heavily dependent on the involvement of the local community, particularly as volunteers, but this can lead to other tensions around the role of the shop and the enterprise in general.

This paper provides an overview of an area of retailing that is growing in size and will be of interest to those involved in policy‐making in rural areas.

Since the reforms in China after 1979, great changes have taken place in the retailing sector, although from the Western point of view it still remains underdeveloped. There is little literature devoted to retailing in China, and an introduction is given here to the retailing sector and the retailing reforms that have occurred during the last decade. The study also provides evidence of some trends which probably will arouse researchers and foreign investors to explore this untapped area.

The advent of the new retail era witnessed the consumers’ demand shift from on the traditional product quality to on the full supply chain service quality, and product service and service manufacturing is gradually taking shape. The purpose of this paper is to propose whether there is a “quality bridge” in the dynamic evolution process of retail service supply chain (RSSC) and discuss the system role, steady-state characteristics and dynamic evolution mechanism of service quality in this dynamic evolution process.

This paper proposes the dissipation system structure of the RSSC under the steady-state quality constraint, constructs a Markov chain model (MCM) for the evolution of the service quality of RSSC, and tests the objective existence of the steady-state distribution of the service quality by taking Chinese HJ retail enterprises as samples.

The research value of this study is summarized as follows. The research finds that the evolution of service quality of RSSC is a dynamic and non-linear growth process, which has significant characteristics of complex adaptability and steady-state convergence. The study finds that the quality evolution process of the RSSC is a steady-state convergence process, and there is a steady-state distribution of quality in its co-evolution, in which different process input levels have a significant positive impact on the stable level of quality state. The study finds that the steady state of quality plays a crucial role in the collaborative evolution of the RSSC, that is, when the service quality reaches a certain steady state distribution, the operating efficiency and profit level of the whole chain will show an “explosive” growth trend.

Quality bridge, an original concept in this paper, represents the role of quality steady-state in the operation of RSSC. Based on Markov chain and system simulation tools, this paper verifies the existence of steady-state service quality and its positive effect on the co-evolution and sustainable development of RSSC. When the service quality reaches a certain steady distribution, the operating efficiency and income level of the whole chain will show n trend of explosive growth.

In the new retail era, the supply chain synergy produced by quality integration has become the new direction of service supply chain research. The purpose of this paper is to study how to promote the sustainable development of the retail service supply chain (RSSC) by comparing and analyzing the optimal quality behavior, optimal returns, and the combination of conditions and strategies of the participating members of the RSSC.

From the perspective of quality function development and service quality concern, this paper considers RSSC as a two-level supply chain structure composed of functional service provider and retail service integrator. In this paper, a dynamic optimization model of quality input-cooperation-coordination of RSSC is proposed under two quality cooperation modes of decentralization and integration. This paper adopts the differential game method to compare and analyze the optimal quality behavior, optimal income, forming conditions and strategic combination of the participating members of the RSSC in different situations.

(1) Compared with quality dispersion, quality integration has more significant Pareto improvement effect on quality behavior and optimal revenue of RSSC. (2) In the case of quality integration, the optimal revenue obtained by the service sharing model is generally better than that obtained by the retail alliance collaboration model. (3) Benefit distribution ratio and quality cost allocation determine the optimal quality behavior of participating members of the RSSC, and also become the key factors for participating members to choose the collaborative mode in the case of quality integration.

Based on the quality function development of RSSC, this paper introduces the concept of steady service quality, and discusses the relationship between the quality cooperation stability and the mode selection of RSSC. This provides a theoretical basis for how to build a RSSC with efficient operation and stable quality.

Based on the analysis of the dissipative structure of the retail service supply chain (RSSC), this paper divides the system into two internal and external dissipative mechanisms, including the internal performance dissipation mechanism and the perceived quality dissipation mechanism outside the system. Based on the prediction of RSSC performance, this paper aims to discuss the application of Hidden Markov Model (HMM) in this field and puts forward a set of complete process of forecasting the service supply chain (SSC) performance based on HMM model.

Based on the theory of dissipative structure, this paper selects the RSSC as the research object, analyzes the system characteristics of the dissipation structure of RSSC from three aspects, such as system opening type, distance from equilibrium state and nonlinear order and describes the quality fluctuation process of RSSC as a Hidden Markov process. Taking the RSSC of J Company as an example, this paper makes use of the observed state value of customer perceived service quality from 1997 to 2016, predicts the performance status of the enterprise's RSSC.

The research results show that: RSSC is a dissipative structure system, and its performance is the internal entropy flow of the system, and the customer perceived service quality is external, their interaction determines the dynamic evolution of the system dissipation structure, and the Markov property between supply chain performance and perceived service quality. There is a Markov property between supply chain performance and perceived service quality. Using the perceived service quality observation state data of the external consumers of the system can effectively predict the implicit state of RSSC performance. Based on this prediction result, the strategy adjustment and optimization of the action mechanism of internal and external entropy flow in the dissipative structure system can be carried out to promote the sustainable development of the RSSC.

This paper thinks that RSSC is a dissipative structure system and the SSC performance and customer perceived service quality are the internal and external entropy flow of the system, which determines the dynamic evolution of the system dissipation structure. There is a Markov property between supply chain performance and perceived service quality. The hidden state of SSC performance can be predicted effectively by using a hidden Markov model and observing state data of perceived service quality from consumers outside the system.

The literature holds few contributions regarding the sensory environment of small, privately‐owned retail stores. Hence, this paper seeks to explore the sensory experience of patrons of a small boutique.

The study uses photo‐elicitation to examine the experience of the sensory retail environment of patrons of a small fashion boutique in the North West of England. Participants were asked to “show me how it feels to shop here” by taking photographs to depict their sensory in‐store experiences. Follow up interviews were carried out to explore the participants’ sensory experiences and then qualitative content analysis was used to identify the typical “likes” and “dislikes” regarding aspects of the sensory environment.

The findings reveal that it is not just tangible things that can affect a shopper's experience, but store traits such as smell, lighting and presence of owner‐manager can also influence a consumer's experience.

By providing an illustration case study, this paper provides a visual method for researching shopping experience from a sensory perspective. This research concerned small fashion boutiques. Other research as well as this study indicates that studies of sensory environments in other kinds of boutiques could produce different findings.

The paper is intended not only to equip small fashion retailers with an understanding of why some customers dwell and return to browse, but also to help them discern what it is that shoppers want to experience while shopping. Managerial implications are offered with the aim of converting patronage into sales to support survival of small fashion retailers.

This paper contributes to the literature on small to medium‐sized enterprise fashion retailing and the sensory experience of fashion shopping. The identification of sensory touch points in small fashion boutiques helps owner‐managers to understand female shoppers and provides a handrail for thinking up new ways of improving shopping experiences.

Introduction: Artificial intelligence (AI) and digitisation offer substantial human potential and profit margins, making them promising retail solutions. Retail leaders have successfully integrated comprehensive uses into their daily operations, while competitors heavily invest in new projects. The Indian retail sector is undergoing a significant transformation, which can be attributed to factors such as growing income, demographic characteristics, and enhanced consumerism, as well as the rapid development of new technologies such as digitisation and AI, which is changing both consumers’ and retailers’ buying behaviour.

Purpose: This study aims to determine the influence of AI on elements that drive digitisation in the retailing sector, as well as the factors that lead to organised retailers adopting digitisation and its impact on their business.

Methodology: The study employs a standardised questionnaire distributed to organised stores via an online link, and the data are analysed with SmartPLS software 3.0.

Finding: The retail sector is driven by elements that promote digitalisation in food and groceries retailing, such as simplicity of operation, adoption of digital payment, quicker internet connection, retailer consumer interface, and the involvement of AI.

Research implication: AI has significant consequences for retailing, which serves as the interface between marketers and customers.

Theoretical implication: The study’s findings reflect the perspectives of retailers, store managers, and entrepreneurs on how digitalisation and AI are crucial for the creation and growth of long-term competitive advantages in retail.

This study aims to explore how managers of multi-unit retail chains balance unit customer satisfaction and profitability through the manager ' s customer, sales, and production operating orientations.

This research links survey data (gathered from unit managers and customers) to customer satisfaction and unit financial performance.

The study found that the store managers ' customer and sales operating orientations are strongly related to financial performance; further, these effects are negatively moderated by a production operating orientation. Results also indicate that the store manager ' s customer and sales operating orientations are related to customer satisfaction only when moderated by his/her production operating orientation.

Using a sample drawn from within a single firm, this research examines profitability and customer satisfaction at the unit level and identifies the manager of the unit as occupying a key strategic role in the multi-unit enterprise.

The findings highlight the critical role the unit manager of a multi-unit enterprise plays in driving customer satisfaction and unit profitability. Further, the results point to the challenge of managing the production-related responsibilities of the retail enterprise while striving to be sales and/or customer oriented. Implications for management are particularly salient when considering the combined effect of production-sales and production-customer orientations.

This study merges services operations and services marketing theory to explore how conflicting strategic initiatives are implemented at the store level, and how these, in turn, influence unit financial performance and customer satisfaction.