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Location-based services (LBS) have become an effective commercial marketing tool. However, regarding retail store location selection, it is challenging to collect analytical data. In this study, location-based social network data are employed to develop a retail store recommendation method by analyzing the relationship between user footprint and point-of-interest (POI). According to the correlation analysis of the target area and the extraction of crowd mobility patterns, the features of retail store recommendation are constructed.

The industrial density, area category, clustering and area saturation calculations between POIs are designed. Methods such as Kernel Density Estimation and K-means are used to calculate the influence of the area relevance on the retail store selection.

The coffee retail industry is used as an example to analyze the retail location recommendation method and assess the accuracy of the method.

This study is mainly limited by the size and density of the datasets. Owing to the limitations imposed by the location-based privacy policy, it is challenging to perform experimental verification using the latest data.

An industrial relevance questionnaire is designed, and the responses are arranged using a simple checklist to conveniently establish a method for filtering the industrial nature of the adjacent areas. The New York and Tokyo datasets from Foursquare and the Tainan city dataset from Facebook are employed for feature extraction and validation. A higher evaluation score is obtained compared with relevant studies with regard to the normalized discounted cumulative gain index.

Using New Jersey as a case study, this article investigates the challenges faced by food retail stores. Policy recommendations proposed by industry representatives for improving the business climate are also presented. Although New Jersey‐specific, many of the issues discussed in the paper may be relevant elsewhere. Consequently, the findings can be helpful in identifying broad categories of factors affecting the vitality of the industry and in designing investigative research into problems facing the food retail industry.

This study aims to investigate the moderating effects of brick-and-mortar (BM) store characteristics and customer satisfaction on the relationship between ship-to-store (STS) retailing and BM store performance in an emerging economy. The purpose is to explore how BM store characteristics and customer satisfaction influence online buying behaviour when customers visit the stores to pick up their products.

This study collected secondary longitudinal data from 615 BM stores from one of Brazil's largest retailers and performed a panel-data regression analysis using the following moderating variables: customer satisfaction with BM stores, BM store's size, convenience and inventory transparency.

Customer satisfaction with BM stores moderates the effect of STS transactions on the revenue per store. Results also show that BM store's convenience, size and inventory transparency moderate STS online customers' impact on BM store cross-sales.

The STS strategy can increase online and BM store performance. Some BM store characteristics and customer satisfaction influence online customers to buy more products when they visit BM stores to pick up their products, providing a more complex model for the relationship between STS strategy and BM store performance.

Companies in emerging economies can use the BM store more strategically in combination with the STS strategy to increase overall retailer performance. By managing some BM store characteristics, managers can improve retail sales.

This study demonstrates how new moderating factors expand the understanding of the relationship between online and physical retailing in emerging economies. Also, the panel data regression results control for extraneous variables and provide more robust evidence of the relationships observed.

The purpose of this paper is to facilitate a better understanding of the insights provided by adopting a behaviourism perspective of the socio-demographics, consumption dynamics and retail channel patronage of wine consumers and the potential marketing implications these have.

Systematic random sampling yielded 811 surveys of wine consumers collected at households across Australia’s three main consumption metropoles. A hierarchical multiple regression model is used to test the predictive ability of the socio-demographical variables, gender and age, on personal wine consumption.

Specific differences exist in the consumption behaviour and wine type preferences of males and females, and between generational cohorts, specifically Millennial and older consumers. There are gender significant differences in wine type consumption, which in turn is moderated by not only the “classical” socio-demographic variables, but also the retail outlet types preferred for product purchase. Younger Millennial females place more importance on external choice cues in making their buying decision than males. The gender and age generation socio-demographic variables are not strong predictors of personal wine consumption.

Opportunities exist for niche-marketed brands targeted at specific segments such as young females and this study highlighted their specific needs and consumer behaviour dynamics.

This study illustrates through carefully executed wine consumer behaviour research, directed by questioning from the extant literature, how information derived from a behaviourism perspective can intelligently inform marketing strategies. In the process, it also provides “baselines” for future research.

The purpose of this study is to examine winery visitors’ use of information sources in making decisions regarding the choice of wineries to visit. Enrichment theory is used as a framework for determining how previous experience influences the decision on how much and what type of information individuals will use when planning a trip using wine tourism as the context for the research.

A visitor study was conducted at 23 wineries in the US Southeast. Data were collected from winery visitors using a structured self-administered questionnaire.

Results from 832 consumers indicate that an individual’s previous travel systematically influences the number and type of information sources that they will seek out when making future consumer decisions. Findings confirmed the hypothesized expectations about wine tourist information search behavior and help to partially explain the nature of bounded rationality in the case of tourists’ winery visit decisions.

Because the study focused only on winery visitors in the US Southeast, the research results may lack generalizability.

These findings can assist winery owners and destinations with wineries in their promotional efforts. Of major importance is the finding that increases in experiential knowledge from prior travel are monotonically associated with increases in the number of information sources marked to be valuable in selecting a winery. The influence of experience is particularly dramatic in that the mean number of information sources marked to be valuable moves from a low of 2.5 to a high of 10.0 out of 16 as travel experience increases.

The study contributed significant and useful findings that advance the application of enrichment theory to wine tourism. Enrichment theory does not currently differentiate between types of knowledge that enrich a consumer’s ability to more easily encode and use new information. The current study confirms that experiential knowledge is an important knowledge construct in models of bounded rationality.

This study aims to identify the preferences of wine consumers based on age cohorts to identify differences in consumption from a developing country perspective, with a predominantly younger population, to determine wine consumption longevity.

The target population was wine consumers in South Africa. Through convenience sampling, the data were collected in 2020 via a self-administered online questionnaire. In total, 20,997 fully completed the questionnaire. The age categories of the respondents were assigned to a particular age cohort to differentiate the market.

The age cohorts revealed five cohorts, namely, Gen Z: 18–24 years (11%); Young Gen Y: 25–34 years (32%); Mature Gen Y: 35–44 years (25%); Gen X: 45–54 years (17%); and Baby boomers: 55+ years (15%). Segmenting South African wine consumers based on their age cohorts revealed statistically significant differences based on their socio-demographics, wine preferences and consumption behavior. A typology of domestic wine consumers is consequently proposed: basic, budget conscious and image-oriented wine drinking Gen Z’s; experimenting and enjoyment-oriented wine drinking Young Gen Y-ers; aspirational and purposive wine drinking Mature Gen Y-ers; ritual-oriented, avid and conspicuous wine drinking Gen X-ers; and conservative, value-seeking and experienced wine drinking Baby Boomers.

This knowledge has important marketing implications and can create a greater appreciation for South African wines among the different age cohorts. The research shows the value of the generational theory in understanding wine consumers’ consumption and highlights the importance of analyzing different generations rather than solely focusing on one, as this could lead to mismanagement of resources.

This is one of the most comprehensive national surveys aimed at the South African wine consumer. The research fills the current literature gap regarding the characteristics of the different age cohorts and shows how wine consumption and preferences may change over time.

Recently, smart retail technology has emerged as an innovative technology that can improve consumer motivation and behavior in smart stores. Although prior studies have investigated factors influencing the adoption of smart retail technology, to the authors’ knowledge, no previous work has investigated the determinants of purchase intentions. The ultimate goal for retailers should be shopping, not technology adoption. However, traditional brick-and-mortar stores and theories focus on investing in utilitarian factors to attract customers. This study proposes that hedonic motivation should also play an important role, as new technologies may arouse customer curiosity and increase pleasant experiences. Therefore, the purpose of this study is to explore utilitarian and hedonic motivations that promote customers' purchase; intentions in smart stores. Specifically, the authors address the research questions: (1) What are the constituents of utilitarian motivation? (2) What are the constituents of hedonic motivation? (3) What are the factors that influence customers' purchase intentions? By answering the questions, the findings help retailers understand how to motivate customers to make purchases in smart stores.

To investigate consumer motivation and purchase intentions, the customers who made purchases in smart stores were invited to participate in the questionnaire survey. This study collected 307 data in smart retail settings. Partial least squares (PLS) software was used to assess the reliability, validity and the paths and significance of all hypotheses.

The results show that perceived ease of use directly and indirectly influences purchase intentions through utilitarian and hedonic motivations. Utilitarian motivation is a formative second-order construct comprised of merchandise price, merchandise quality, location convenience, speed of shopping and product recommendation. Hedonic motivation is a reflective second-order construct composed of control, curiosity, joy, focused immersion and temporal dissociation. The findings provide insights into the successful implementation of smart retail technology and offer retailers to better understand consumer motivation and purchase intentions in smart stores.

This study is the first to examine how consumer motivation influences purchase intentions in smart stores. This study posits and verifies the extended hedonic system acceptance model (HSAM) to explain consumer motivation for shopping in smart retail settings. This study also models the original first-order utilitarian and hedonic constructs as second-order formative and reflective constructs, respectively. Utilitarian motivation regarding functional benefits is developed based on the 5Ps of marketing and situational factors, while hedonic motivation regarding pleasant experiences is proposed based on cognitive absorption.

Despite the importance of innovation in business performance, investigation into innovation in services is scanty and lacking consensus. In retailing, it is a topic that has been awakening considerable academic and business interest in recent years. In this study context, this work aims to analyse innovation in retail experiences from two aspects – marketing innovation and technological innovation – to understand the role it exercises in satisfaction and subsequent recommendation.

The authors’ objective is to investigate the direct and indirect influence of marketing and technological innovation on satisfaction and word-of-mouth (WOM) through three core constructs: store image, consumer value and store brand equity. SEM methodology is applied on a sample of 820 retail customers of grocery, clothing, furniture an electronics store.

The results show that technological innovation is more important than marketing innovation in shaping image, value and satisfaction. At the same time, store image is the variable that most influences customer satisfaction and that satisfaction is a very significant antecedent of WOM behaviour. Practical implications for retail managers and further research are presented.

The main value of this work has been to go deeper into the study of retail innovation, both in marketing and technologies, and its direct and indirect effects on satisfaction and subsequent recommendation through store image, consumer value and store brand equity. It is a new line of study, which is still fragmented and with little empirical evidence.

The purpose of this paper is to identify in what way logistics service providers are involved in the logistics operations of omnichannel retailers. Given the importance of logistics in omnichannel retail and the complexities that it brings forth, it is unclear if the current tendency towards logistics outsourcing continues, and how logistics service providers should adapt to remain relevant in the omnichannel retail environment.

The research draws on both desk and field research. The authors analysed the scientific information available on omnichannel retail logistics and conducted semi-structured expert interviews with food and non-food retailers that adopt an omnichannel model.

The research demonstrates distinct differences between food and non-food retailers. While food retailers are inclined to organise fulfilment and last mile activities in-house, non-food retailers partner closely with logistics service providers. Nonetheless, the store network of non-food retailers is attracting a growing part of logistics activities, which retailers are building themselves. To sustain their relevance in the omnichannel environment and strengthen their position for the future, the authors created a competency recommendation framework for logistics service providers, in which service differentiation is proposed as a viable direction for growth.

The research is based on insights from retailers based in the Brussels-Capital Region (Belgium) and requires further and wider testing in other contexts and geographical areas.

The findings have strategic importance for retailers that are developing an omnichannel retail model and logistics service providers that (aim to) serve clients and operate activities within the retail sector.

The research provides a holistic view of logistics in omnichannel retail by identifying insourcing and outsourcing mechanisms and developing competency recommendations to fulfilment, internal transport and last mile transport in omnichannel retail.