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This study aims to empirically test and explain shoppers’ purchase behavior in a retail store by applying the strength model of self-control.

A pretest was used to identify shoppers’ purchase change behavior based on 500 average shoppers, followed by a main study based on another set of 166 average shoppers, to test the proposed hypotheses.

As shoppers stay shorter in a grocery store, they tend to change their purchase decisions more frequently. In addition, this study results reveal that three behavioral variables, namely, shoppers’ changed purchase decisions, shopping duration and walking distance, significantly predict their overall spending.

The findings from the current study are limited to a designated superstore conducted for this study only. From a managerial viewpoint, the author suggests that giving shoppers more choice options and encouraging them to spend more time and walk further in a grocery store, depleting their self-control resources, can be an effective strategy in increasing sales. Yet, excessive efforts for these ideas can also cause shoppers’ massive returns once they return to the normal state with sufficient self-control resources.

The current study empirically confirms the applicability of the strength model of self-control through field studies designed to increase the external validity of the findings. To the best of the author’s knowledge, this research is the first to apply and empirically test the strength model of self-control in the field to explain shopper behavior and highlight the importance of understanding shoppers’ changed purchase decisions.

The purpose of this study is to examine the effect of psychological traits and shopping environmental factors on impulse buying tendency via television shopping programs and to reflect the inherent nature of the impulsive television shopping environment in the USA as well as the traditional retail channel.

A total of 154 questionnaires were returned from multichannel customers who purchased apparel from television shopping programs and traditional retail stores.

Five causal relationships among impulse buying and interaction tendencies in both television and retail settings and TV shopping program browsing duration proposed in this study were confirmed through structural equation modeling.

This study adds valuable empirical findings to the literature on the distribution channel relationship by examining buying behavior of multichannel customers as well as some theoretical implications for impulse buying‐related theories.

This study provides insights for customer impulse buying behavior in the multiple shopping environments.

The purpose of this paper is to propose customer behavior analysis based on real-time data processing and association rule for digital signage-based online store (DSOS). The real-time data processing based on big data technology (such as NoSQL MongoDB and Apache Kafka) is utilized to handle the vast amount of customer behavior data.

In order to extract customer behavior patterns, customers’ browsing history and transactional data from digital signage (DS) could be used as the input for decision making. First, the authors developed a DSOS and installed it in different locations, so that customers could have the experience of browsing and buying a product. Second, the real-time data processing system gathered customers’ browsing history and transaction data as it occurred. In addition, the authors utilized the association rule to extract useful information from customer behavior, so it may be used by the managers to efficiently enhance the service quality.

First, as the number of customers and DS increases, the proposed system was capable of processing a gigantic amount of input data conveniently. Second, the data set showed that as the number of visit and shopping duration increases, the chance of products being purchased also increased. Third, by combining purchasing and browsing data from customers, the association rules from the frequent transaction pattern were achieved. Thus, the products will have a high possibility to be purchased if they are used as recommendations.

This research empirically supports the theory of association rule that frequent patterns, correlations or causal relationship found in various kinds of databases. The scope of the present study is limited to DSOS, although the findings can be interpreted and generalized in a global business scenario.

The proposed system is expected to help management in taking decisions such as improving the layout of the DS and providing better product suggestions to the customer.

The proposed system may be utilized to promote green products to the customer, having a positive impact on sustainability.

The key novelty of the present study lies in system development based on big data technology to handle the enormous amounts of data as well as analyzing the customer behavior in real time in the DSOS. The real-time data processing based on big data technology (such as NoSQL MongoDB and Apache Kafka) is used to handle the vast amount of customer behavior data. In addition, the present study proposed association rule to extract useful information from customer behavior. These results can be used for promotion as well as relevant product recommendations to DSOS customers. Besides in today’s changing retail environment, analyzing the customer behavior in real time in DSOS helps to attract and retain customers more efficiently and effectively, and retailers can get a competitive advantage over their competitors.

Over the past decade the property manager has had to learn to adapt to many new factors affecting his everyday thinking. Computerised management, the effects of inflation, energy cost and efficiency, new technology in building services, and new thinking on rent reviews have all done much to change the job description and the thinking of the property manager. All the signs suggest that the next ten years will bring even more change and he or she should be devoting time for attitudinal and educational preparation for the traumas yet to come. With this preparation in mind, this article is directed particularly at those responsible for the strategic management of shopping centres.

The purpose of this paper is to increase the understanding of customer share of wallet (SoW) based on research in customer characteristics and the retail service quality model. Specifically, this study adopts an asymmetrical modelling approach to provide insights into the necessary and sufficient conditions leading to increased customer SoW in the context of neighbourhood shops in Southern Africa.

This study uses fuzzy-set qualitative comparative analysis to analyse survey data collected from 523 current customers of the shops.

This study reveals that large household size and low income are necessary conditions for increased SoW. It also reveals five unique customer profiles, or casual recipes, associated with increased customer SoW. More generally, this study demonstrates that service quality constituents (personal interaction, reliability, policy and physical aspects of the shop) and customer characteristics, namely, relationship duration, household size, gender and income-level act in combination to lead to customer SoW.

This study illustrates how service quality constituents and customer characteristics compete and/or complement each other in relation to increased customer SoW. To the best of the author’s knowledge, this is the first study to provide evidence on the necessary conditions for increased SoW, especially in the neighbourhood shop context of a developing economy. Value-wise, this paper provides a more nuanced perspective to understanding how unique customer profiles are associated with increased SoW.

The purpose of this paper is to examine how attributes of a mall contribute to the amount of time spent in the shopping centre.

The study used data collected from the questionnaire survey distributed to visitors of four major shopping centres in Bandung City, Indonesia. Ordinal logit was applied to analyse the mall built environment attributes in relation to the duration of stay. Factors related to the visit and socio-demographic background of the shoppers are also considered in this analysis.

The results show that each shopping centre has its own unique attribute(s) that keep consumers in the mall. However, attributes that boost or strengthen the image of a shopping centre do not necessarily contribute much to explaining the desire of consumers to stay. Factors pertaining to the visit and socio-demographic background of consumers have been found to play a more important role in defining the duration of visit.

The study provides an analysis of how the mall attributes worked in defining the visit duration in comparison to the factors related to the visit and socio-demographic factors at four shopping centres, while most studies typically only focussed on one shopping centre.

This paper aims to address two questions related to the magnetism or drawing power of suburban malls: first, does physical size matter, and second, what is the externalities effect of housing a Cineplex within a shopping center?

The study was carried out through an extensive survey covering 1,283 shoppers in nine selected suburban shopping centers in Singapore. The effects of physical size and the presence of Cineplex on the magnetism on the selected suburban shopping centers are evaluated using analysis of variance (ANOVA) tests. Their effect on shopping duration and expenditure pattern is also empirically tested using a recursive simultaneous equations model.

The survey results affirm that both physical size and the presence of a Cineplex enhance the magnetism of suburban shopping centers. A larger shopping center can facilitate a greater variety of shops and create a more pleasant environment for the shoppers, thus enticing shoppers to visit and stay longer. Cinema patrons prefer to watch movies at Cineplex located in shopping centers. Controlling for the endogenous relationship between duration of visit and amount spent in the shopping center, the regression results show that, while physical size and Cineplex have a positive effect on the duration of visit, they do not necessarily have a direct effect on the amount spent by the patrons in the shopping center.

One of the main challenges for mall owners and managers located outside the traditional shopping belt is how to attract shoppers to patronize their malls. While the impact of shopping center size on retail rents and center attractiveness has been addressed in the literature, this paper adds some new insights into the field. The focus on whether the presence of a cinema complex within a shopping center affects its magnetism or not is novel.