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Drawing on evidence from ten towns (across England, Wales and Northern Ireland) participating in the High Street UK 2020 (HSUK2020) project, the purpose of this paper is to reveal how local stakeholders involved in place management respond to high street decline through a strategy of repositioning.

This paper identifies the challenges faced by the towns considering repositioning, and highlights examples of good practice of relevance to the practitioners. First, it outlines the perspectives on repositioning from the academic research and theory, before drawing on evidence from across ten UK towns that participated in the HSUK2020 project, to reveal how repositioning involves more than just taking a snapshot profile of a place.

The research revealed major challenges faced by local stakeholders in clearly identifying and communicating their market position, in particular, the maintenance of up-to-date information on catchments was lacking at all the locations. Despite having local knowledge and some data, stakeholders still did not possess a clear (or shared) understanding of the identity or function of their towns. This evidence reflects the complexity of analysing and understanding repositioning and developing coherent strategies.

Knowledge exchange between stakeholders involved in place management can help inform the identification of new strategic objectives, appropriate interventions and project planning and delivery. Where resources are limited, particularly in smaller towns and settlements, the research demonstrates the significance of collecting and sharing data and analysis with other stakeholders, because this can generate positive outcomes for all.

By offering empirical evidence based on the experience of local practitioners, this paper provides valuable insight into how town centre stakeholders collect, interpret and analyse data, revealing the challenges, opportunities and practicalities involved in developing and implementing repositioning strategies.

This study aims to identify the major factors influencing the consumers to prefer milk products and also to analyze the awareness level of the Indian consumers.

In this study, the data is obtained through a structured questionnaire from Indian consumers considering convenience sampling under the nonprobability sampling technique. The consumer preference is explained using a multiple-regression model followed by analysis of variance (ANOVA), which shed insight on the significant differences between the variables that influence consumer preference for dairy products.

Investigation is done to analyze the factors influencing the consumers' buying behavior toward milk and its products. The results showed that quality, health consciousness, price and availability are the most influencing factors to buy milk products. Quantity of milk showed a significant relationship between age, monthly income and family size.

This study helps marketing managers to frame the marketing strategies based on consumer preference, quality, health consciousness, price and availability. The research outcome will not only be advantageous for the entrepreneurial perspective but also takes care of consumer likeliness. Though the research reveals the opinion of Indian consumers, it limits the likeliness of the western world. Because of the scarcity of resources, several dairy products are unexplored, which could pave the future scope of research.

The novelty of this study is to identify the quality, health consciousness, price and availability are the most influencing factors to buy milk products considering ANOVA and the multiple regression model.

The innovation of meaning paradigm is a strategy to radically innovate product and service meanings. While researchers have focussed on the role of product and retail space meanings as interlinked in the pursuit of innovation, no investigation has been directed towards understanding when the two meanings differ. This research explores how companies can manage two different meanings offered through their retail services and the products sold.

Due to the highly intangible and subjective nature of meaning, as well as the exploratory aim of the research, a case study approach has been adopted. In particular, the research compares two case studies of similar companies in the beauty industry. Data were triangulated across three different sources: a panel of experts, ethnographic research in the two companies' stores and extensive academic and practitioner publications.

Findings suggest that innovating the service meaning can be a viable strategy to differentiate a retail offering the product meaning which is no longer perceived as different with respect to competitors.

The study applies the innovation of meaning concept to retail services, distinguishing the meaning given to the store from that given to products, thereby offering managers a strategy to innovate a suffering retail format.

The purpose of this paper is to document the results and the impact of the ESRC-funded High Street UK 2020 (HSUK2020), a project designed to take the existing academic knowledge relating to retail and high street change directly to UK High Streets, to improve local decision-making and, ultimately, their vitality and viability.

Through a systematic literature review, and by following the tenets of engaged scholarship, the authors identified 201 factors that influence the vitality and viability of town centres. Through the consensus-building Delphi technique, a panel of 20 retail experts identified the top 25 priorities for action.

Taking a place management approach led to the development of a more strategic framework for regeneration, which consisted of repositioning, reinventing, rebranding and restructuring strategies (4R’s of regeneration). Collaboration with the project towns resulted in identification of the strategy area that would add the most value, and the impact of the 4R’s and the top 25 priorities is demonstrated via numerous town examples.

Knowledge exchange projects, such as High Street UK2020, have an important contribution to make, not by developing even more theory that is unlikely to get utilised, instead their contribution is to bring existing theory into practical use.

Using retail banking as a setting and focusing specifically on elderly customers (i.e. individuals aged 60 or more), this study aims to deepen the current understanding of how the physical context and the need for human interaction influence elderly customers' attitudes toward self-service technologies (SSTs) and their behavior.

Using face-to-face questionnaires, a sample of 505 elderly bank customers was collected. Data were analyzed using a multi-method approach, combining a moderated mediation analysis with a fuzzy-set qualitative comparative analysis.

The findings suggest that a pleasant retail space may result in a positive attitude toward SSTs, which increases their co-creation intention. It also highlights that need for interaction of elderly customers with employees has detrimental effects on their attitude toward SSTs.

The current analysis was carried out among Italian elderly banks' customers. Thus, the results are highly dependent on the context of the analysis. In addition, it does not consider the different degrees of knowledge and experience the elderly may have with technology.

This study suggests that providing access and support for using technology may be essential for banks to facilitate SSTs adoption in elderly customers.

To the best of the authors' knowledge, this study represents the first attempt to examine the influence of the physical context on elderly customers' attitudes toward SSTs and their consequent behavioral intentions. Furthermore, it highlights the importance of the human touch for these particular customers.

Companies utilize increasingly capable Artificial Intelligence (AI) technologies to deliver modern services across a range of consumer service industries. AI autonomy, however, sparks skepticism among consumers leading to a decrease in their willingness to adopt AI services. This raises the question as to whether consumer trust in companies can overcome consumer reluctance in their decisions to adopt high (vs low) autonomy AI services.

Using a representative survey (N = 503 consumers corresponding to N = 3,690 observations), this article investigated the link between consumer trust in a company and consumers' intentions to adopt high (vs low) autonomy AI services from the company across 23 consumer service companies accounting for six distinct service industries.

The results confirm a significant and positive relationship between consumer trust in a company and consumers' intentions to adopt AI services from the same company. AI autonomy, however, moderates this relationship, such that high (vs low) AI autonomy weakens the positive link between trust in a company and AI service adoption. This finding replicates across all 23 companies and the associated six industries and is robust to the inclusion of several theoretically important control variables.

The current research contributes to the recent stream of AI research by drawing attention to the interplay between trust in companies and adoption of high autonomy AI services, with implications for the successful deployment and marketing of AI services.

The study aims to explore how concept stores (theoretically) differ from other experience-based retail formats, and hence, how they (practically) contribute to a diversified retail store portfolio.

Case study based on semi-structured, qualitative interviews with seven IKEA retail managers, three industry experts and 26 customers of IKEA concept stores in London and Stockholm.

The concept store represents a conceptual departure from other experiential store formats. It is neither fully experiential in the sense that it is not only about marketing communications nor is it sales or profit-focused. Its aim is to be an accessible touchpoint that reduces friction on a diversified customer journey with its value to the retail portfolio being that it attracts new and latent customers, mitigates existing inhibiting factors and drives them to other touchpoints.

Ideas about the different characteristics of new store formats and their potential to shape the customer experience are extended. New formats reflect innovation in retailing and are part of a retail portfolio which generates different customer expectations and determinants from traditional store formats which provide the customers' existing reference point.

The contributions of new formats should be evaluated in light of other existing formats in the portfolio and not isolated. This is particularly true when considering format cannibalisation and the potentially extended customer journey that arises when customers use traditional format stores and new concept format stores simultaneously.

Previous research, using sales metrics and market-based results as performance determinants, suggests negative outcomes for format diversification. Our study suggests that the contributions of the concept store format should be viewed from an overall customer journey perspective and the “performance” of different format based touchpoints are not best captured through traditional sales evaluation methods.