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Since consumers are being provided with ever‐increasing amounts of information, there is an increasing need to study the way in which they handle purchasing information. Investigates the effect of buy‐frequency on one theory of consumer decision making: Perceived Risk Theory. Survey data from 100 consumers revealed that in general perceived risk decreased as buy‐frequency increased, but only for high‐value products and services and not as much as expected. High‐value services showed considerably less risk decrease as buy‐frequency increased than did high‐value products, possibly due to their heterogeneity. Experienced purchasers place more emphasis on pre‐purchase product trial and purchasing well‐known brands for high‐value goods and store image and brand loyalty for low‐value goods, than inexperienced purchasers. Discusses the implications for perceived risk measurement as well as retailing.

The tremendous market growth of mobile platforms for esports underscores the need to understand players' psychological states and consumption behavior. Based on flow theory, this study examines players' psychological states (flow and clutch experiences) and consumption behavior based on the interaction effects of playing frequency, playing duration and players' levels on the PC (LOL – League of Legends) and mobile (LOLWR – League of Legends: Wild Rift) versions of the same esports title.

Data were collected from 930 valid responses and analyzed with confirmatory factor analysis and multiple regression (PROCESS macro, Model 3).

There are two main findings. First, across PC and mobile participants, casual gamers (low playing frequency and duration) have firm purchase intention when they have a clutch experience, but flow experience hinders their purchasing intention. Second, hardcore gamers' (high playing frequency and duration) psychological states are clearly distinguished according to technological platforms. Flow experience is the most effective for their purchase intention in the PC platform, but both flow and clutch states are important in the mobile platform. Flow experience is essential overall for hardcore gamers to intend their in-game item purchasing.

This study has two primary originality/values. First, this study explores flow and clutch together to measure psychological states and the impact on the purchase intention of in-game items. Second, the interacting effects of playing frequency, duration, and skill level with technical platforms (i.e. PC and mobile) for esports gaming.

The purpose of this paper is to address the following question: “Does purchase frequency influence consumer behaviour in the specialty food retailing setting?”, since purchase frequency is a consumer-based undertaken variable. For this purpose, the authors provide and empirically test a conceptual model focussed on specialty food retailing.

Data were collected through a structured questionnaire in the USA, gathering 592 valid responses and analysis was developed through structural equation modelling.

Findings indicate that satisfaction and loyalty towards specialty food stores are strongly influenced by consumers’ purchase frequency of specialty food products. Additionally, the findings support the moderating role of purchase frequency on the relationship between store service and satisfaction, as well as on the link store environment satisfaction.

Specialty food retailers should carry out marketing strategies focussing on consumer behaviour and segmentation could be developed considering purchase frequency.

Employing means‐end theory, this paper seeks to examine the influence of specific types of product attributes upon desired consumption consequences and the mediating impact of desired consequences upon purchase frequency.

The research employed means‐end interviews to generate specific attribute and consequence measures. These measures were then administered in a survey instrument within the context of a fashion product. Partial least squares was used for testing the measurement validity of the survey instrument and testing the structural model and related hypotheses.

Style attributes significantly related to desired psychological and social consequences but did not significantly relate to functional consequences. Quality significantly related to functional consequences and social consequences but not psychological consequences. Price significantly related to all consequences. Psychological consequences were the strongest predictor of purchase frequency followed by functional consequences. Finally, desired consequences played a mediating role between product attributes and purchase frequency, with no direct influence of attributes upon purchase frequency.

The findings demonstrate the value of understanding the consumption consequences that consumers desire for products, especially after initial purchase. In doing so, the findings also provide some evidence that consequences may be better predictors of behavioral outcomes than product attributes.

This study demonstrates that the consumer means‐end value hierarchy can be used as a tool for understanding the meanings that consumers construct around products and services. Moreover, it indicates that marketers should consider customer value analysis as a segmentation tool.

This paper represents one of the few to test the chain of cause‐and‐effect relationships of the means‐end hierarchy within an integrated framework. It is original in that it specifically tests the relationships between major attributes (i.e. style, quality, and price) and particular consequence types (i.e. psychological, social, and functional).

Over the last 30 years a range of empirical generalisations has been developed about the performance of competitive brands in frequently purchased product categories. These generalisations have been based mainly on European and US data, and this paper addresses the question of whether they also hold in Australia and New Zealand. We examined consumer panel data from four different markets (supermarkets, department stores and retail fuel in Australia and retail fuel in New Zealand) and found similar patterns to those in Europe and the USA, although there were some minor exceptions, and also some interesting variations between markets. Our results suggest that there is much that Australasian marketers can learn from using models such as the Dirichlet, which was developed in the Northern hemisphere, to identify norms and exceptions in their own markets.

The purpose of the paper is to assess the roots of stockpiling behaviors and to give a quantitative assessment of shopping frequency changes for emergency supplies during the coronavirus disease 2019 (COVID-19) pandemic. In addition, the authors aim to determine the sources that influenced emergency supply purchases during the COVID-19 outbreak.

The study used a polling or survey process implementation to collect the data on shopping patterns and to determine the drivers of stockpiling behaviors for the assessment. The polling was conducted using a snowball technique, and descriptive and regression analyses were used to define the roots of the stockpiling behaviors and the shopping frequency changes.

It was determined that 88.0% of end-consumers increased their shopping volumes for emergency supplies. An almost twofold increase in the average duration of usage for stockpiled goods (from 11 to 21 days) was also determined. Also revealed was a reduction in shopping frequency from an average of seven (pre-COVID-19 period) to five (first wave of COVID-19 pandemic) days. Such disproportional increases in purchase volumes along with a slight reduction in shopping frequency indicate the strong stockpile patterns that occurred during the pandemic.

The research is based on data from Ukraine, where the number of COVID-19 cases was low. Despite the comparatively low spread of COVID-19 in large cities in Ukraine in relation to other cities globally, people still revealed panic and stockpiling behaviors. The study's quantitative assessment of shopping behaviors reveals the social and economic determinants of the shopping frequency.

The purpose of this paper is to study the regularity of the e-commerce customer repeat purchase behavior, and provide new ideas and methods for e-commerce vendor’s e-commerce customer management.

Through analysis of the priority in activity mechanism and new customers’ dynamic growth in customer’s purchase behavior, this paper builds a model of the customer’s purchase frequency, which can be verified by the empirical data gathered from www.taobao.com, www.jd.com, www.yhd.com and www.amazon.com.

This paper discovers the regularity that the customer’s purchase frequency obeys power law distribution. Empirical data show that this model can represent the real repeat purchase process well. At the same time, it provides the theoretical basis for the vendor regional management by introducing the concept of stickiness and the corresponding methods of calculation.

This study only focuses on the basic model of e-commerce customer’s repeat purchase and lack of study on influence factors about the characteristics of different vendors and it needs to make extensions considering fluctuation of new customers, or customer aging and loss.

This study provides a theoretical basis for vendor to take different marketing strategies through classifying customers based on the characteristic of purchase stickiness.

The definition and calculation method of purchase stickiness is put forward for the first time, and the value of purchase stickiness changes with the number of purchase. It provides the theoretical basis for the vendor regional management, and will be good for further studying the e-commerce market about customer’s purchase behavior.

This paper aims to examine how customer heterogeneity influences absolute price thresholds in a service industry.

Customer purchase behavior is studied in the context of a firm’s and competitor’s price changes. Customer purchase behavior is further examined in the context of specific customer attributes such as loyalty, motivation, online purchase channel, gender and frequency of purchase. The study uses a longitudinal data set spanning over 44 months and tracks over 13,000 of a firm’s customers, totaling over 200,000 transactions from a parking services provider.

Results show that absolute price thresholds affect purchasing decisions. Customers are willing to pay a range of prices for a considered purchase, and when a price is within customers’ acceptable price range, it does not induce a change in their purchase behavior. However, specific identifiable customer attributes influence the propensity to continue buying and influence the acceptable price range.

Knowledge from this study can be applied to developing a deeper understanding of customers and their price thresholds to improve customer retention and firm performance after a price change.

For a better understanding of the consumer choice process, it is essential to understand what factors affect price thresholds. Additionally, very few studies are using transaction-level data to empirically validate concepts from behavioral price research in the service industry, and none that do it at an individual customer level over three years.

The purpose of this paper is to examine what factors and assortment of factors on wine back labels, representative of those found in the US market, appealed to consumers. Moreover, what changes to wine bottle characteristics and standard wine composition appealed and could affect their purchasing decision.

Data were collected through an online survey of 910 wine consumers who resided in Metropolitan Philadelphia and New York City.

Based on conjoint analysis, averaged importance for food-wine-pairing information on wine bottle back labels was greater than both how to contact and connect with the winery and winery background information. Within the pairing information factor, description of food-wine-pairings and symbols of food-wine-pairings received positive utility values, indicating consumers preferred these options more than having no pairing information present. Consumers who purchased wine at least once a week were more positively impacted by the alternatives presented, with influence decreasing as purchasing frequency declined. Wine purchasing frequency is related to the number of wine drinkers living in a household and wine consumption within a household is most often a shared consumption activity. More females drink wine but the consumption frequency of males is higher.

Producers considering changing either the wine composition or a bottle characteristic should note that, based on frequency of wine purchasing, changes that may invoke a positive response are: decreased calorie content, wine made from “sustainably farmed” or “naturally farmed” grapes, and producing USDA Certified Organic wine.

This study is the first to investigate what changes to extrinsic cues in the form of wine bottle and back label characteristics and to the wine composition (taste) intrinsic cue appeal to consumers in the US market and might influence their purchase decisions.

The purpose of this study is to analyse the impact of behavioural determinants, such as consumer attitude, subjective norm, behavioural control and sustainable buying behaviour, on organic food purchase behaviour in different EU countries.

A structured survey of more than 5000 individuals from Germany, Netherlands, Spain, Italy and Czech Republic was conducted to elicit consumer responses regarding behavioural determinants of organic food selection. Both a structural equation modelling approach and a multinomial logit model were employed to analyse the data.

Consumer attitudes, subjective norms and behavioural control were shown to significantly influence the frequency of organic food purchasing behaviour for the whole sample and to varying degrees across each of the countries. The effect of a sustainable buying behaviour was found to be more pronounced for Germany, Netherlands and Italy than for Czech Republic and Spain.

Analysis is based on self-reported data on frequency of organic food purchases, which might be subject to recall bias. Overestimation may arise as consumers tend to report increased purchasing due to the “desirable” qualities of organic food. We tried to ensure that the translations bore similar meanings cross country although some miscomprehension by survey respondents was a possibility.

To stimulate consumer demand for organic products, it is important to design policies and interventions that take into account the impact of both behavioural factors and demographic attributes on consumer decision-making across various locations. For example, market analysts and policymakers may find it useful to exploit the impact of consumer attitude towards the qualities of organics to induce sales of such food in their locations.

This paper combines unique survey data from five EU countries using a common model to explore and compare consumer behavioural preferences for multiple organic food products. In addition to a classic triad of behavioural factors believed to influence organic food purchases, sustainable buying behaviour as a determinant of organic purchasing behaviour was included in the analysis.