Online shopping hesitation.

This study was designed to understand which factors influence consumer hesitation or delay in online product purchases. The study examined four groups of variables (i.e., consumer characteristics, contextual factors perceived uncertainty factors, and medium/channel innovation factors) that predict three types of online shopping hesitation (i.e., overall hesitation, shopping cart abandonment, and hesitation at the final payment stage). We found that different sets of delay factors are related to different aspects of online shopping hesitation. The study concludes with suggestion for various delay-reduction devices to help consumers close their online decision hesitation.     

Online shopping orientations of Latino millennial generational cohorts

Latino consumers in the United States reached a collective buying power of nearly $1.72 trillion in 2020 with over 22% between the ages of 18 and 37, and 80% of the population on the internet. Although Latino Millennials represent a significant consumer group in the United States, scarce literature has examined their online shopping orientations. Furthermore, despite having indications that Millennials are not a homogenous consumer group, and differ in their shopping preferences, studies fell short in examining the online shopping orientations of the Millennial subgroup. Thus, the purpose of this study was to examine the shopping orientations of Latino consumers by segmenting the Millennial generation into three groups: younger Millennial (18–23), middle Millennial (24–30), and older Millennial (31–37). The study administered a web-based questionnaire survey to a convenience sample of 378 participants. A one-way multivariate analysis of variance (MANOVA) was conducted, and findings revealed that shopping orientations of Latino consumers differ significantly based on Millennial generational cohorts (MGCs) and ethnicity. Among Latino MGCs, younger Millennials were more brand-and fashion-conscious, impulsive, and confused by over choice. Furthermore, Latino Millennials were more brand conscious than Caucasian Millennials. Therefore, companies and marketers that target Latino Millennial consumers should create shopping experiences that meet the needs of the different generational cohorts.     

EsPal: One-stop shopping for Spanish word properties

This article introduces EsPal: a Web-accessible repository containing a comprehensive set of properties of Spanish words. EsPal is based on an extensible set of data sources, beginning with a 300 million token written database and a 460 million token subtitle database. Properties available include word frequency, orthographic structure and neighborhoods, phonological structure and neighborhoods, and subjective ratings such as imageability. Subword structure properties are also available in terms of bigrams and trigrams, biphones, and bisyllables. Lemma and part-of-speech information and their corresponding frequencies are also indexed. The website enables users either to upload a set of words to receive their properties or to receive a set of words matching constraints on the properties. The properties themselves are easily extensible and will be added over time as they become available. It is freely available from the following website: http://www.bcbl.eu/databases/espal/.     

Measurement of self-evaluative motives: a shopping scenario

To develop measures of consumers' self-evaluative motives of Self-verification, Self-enhancement, and Self-improvement within the context of a mall shopping environment, an initial set of 49 items was generated by conducting three focus-group sessions. These items were subsequently converted into shopping-dependent motive statements. 250 undergraduate college students responded on a 7-point scale to each statement as these related to the acquisition of recent personal shopping goods. An exploratory factor analysis yielded five factors, accounting for 57.7% of the variance, three of which corresponded to the Self-verification motive (five items), Self-enhancement motive (three items), and Self-improvement motive (six items). These 14 items, along with 9 reconstructed items, yielded 23 items retained and subjected to additional testing. In a final round of data collection, 169 college students provided data for exploratory factor analysis. 11 items were used in confirmatory factor analysis. Analysis indicated that the 11-item scale adequately captured measures of the three self-evaluative motives. However, further data reduction produced a 9-item scale with marked improvement in statistical fit over the 11-item scale.     

Passion and dependency in online shopping activities.

This study examines the influence of harmonious passion (HP) and obsessive passion (OP) to online shopping dependency. The results show that both HP and OP might lead to online shopping dependency and online shoppers with OP are more dependent on online shopping activities. In addition, this study also found out that HP and OP could be denoted as a sequence of different intensities of passion, where HP might be a necessity of OP.     

Attitudes toward online shopping: a follow-up study

From 2001 to 2005, students showed an increase in the range of purchases made online, and their attitudes toward online shopping became more positive.     

Web metrics: measuring patterns in online shopping

The Web has become a primary source of product information for online consumers. As such, basic questions regarding how consumers approach the search process need to be understood and measured if marketers and website developers are to identify patterns or trends in consumer information search strategies. To observe and measure changes in consumer search behaviour, it is necessary to establish benchmarks that can, at a later date, be compared with subsequent observation measurements. This study recorded the search activities of 37 subjects as they searched for information regarding the purchase of two products: one where they had expert product knowledge and one where they had novice product knowledge. Significance was found for particular site types used and, more importantly, in patterns of site type usage. The methodology and benchmarks offer researchers a means of tracking changes in consumer search behaviour on the Web. Copyright © 2003 Henry Stewart Publications.     

Effects of time of day on shopping behavior.

Shoppers interviewed in a shopping mall at different times of the day show different activities within the mall and attitudes toward the products. Prices also vary with the time of the day. These results can be explained in terms of shopping values and the related demographic characteristics of the population visiting the shopping center at different times of the day.     

Sex differences in online shopping: an exploratory study

Empirically, predictors of purchasing an item (among 15) online in a sample of 365 undergraduates were dependent upon the sex of the purchaser and the particular item purchased.     

Disposing of the empty shopping market cart--an informal look

An informal enquiry suggested that only about one out of five shoppers, when finished using shopping carts, returned them to a designated depository.     

Household pre‐purchase practices and online grocery shopping

This paper explores household pre‐purchase practices and their mediation by information and communications technologies (ICTs), specifically online grocery shopping. Drawing on practice theory, the impacts of ICTs on household grocery shopping behavior are conceptualized, and the concept of “front‐loading” is introduced. Emerging themes generated from 31 semi‐structured interviews conducted via Skype with Turkish consumers focusing on their experiences of online grocery practices are presented. To this end, the contribution of this paper is twofold. First, an understanding of the domestication of online grocery shopping and its affect on the dynamics of household decision making, information sharing, and responsibilities of tasks before the actual act of online shopping is developed. Second, how such pre‐purchase practices undertaken by consumers act as a catalyst of change at the industry level is appraised. Copyright © 2014 John Wiley & Sons, Ltd.     

Effect of brand name on consumers' risk perceptions of online shopping

The purpose of the present study was to investigate the relationship between brand names and consumers' perceived risk. Hypotheses dealt with whether the presence of a product's brand name affects consumers' perceived risk towards shopping online; whether the familiarity with a brand name influences consumers' perceived risk; and whether online shoppers and non‐shoppers perceive risk towards shopping online differently. Results indicate that the presence or absence of a product's brand name affects online shoppers' perceived risk, but in the opposite direction to that expected. There was no significant difference between online shoppers' perceived risk vis‐à‐vis brand familiarity; however, online shoppers possessed lower perceived risk than non‐shoppers. Implications and limitations are discussed and recommendations for future research are provided. Copyright © 2004 Henry Stewart Publications Ltd.     

Security of multi-agent systems: A case study on comparison shopping

The multi-agent-systems paradigm is becoming more and more popular as a basis for realizing net-based solutions. This development is accompanied by an increasing relevance of security issues. For instance, the potential loss of privacy and other assets is a major concern for, both merchants and customers, in Internet-based commerce and, without being properly addressed, such very legitimate concerns hamper the growth of e-commerce.This article uses a comparison-shopping scenario to introduce a general methodology for formally verifying the security of multi-agent systems. Following the approach of possibilistic information flow security, the flow of information between and within agents is restricted in order to ensure that secrets will not be disclosed to unauthorized meddlers. The security requirements for the overall system are then decomposed into requirements for the individual agents that can be verified independently from each other. Exploiting the modular structure of a multi-agent system considerably reduces the complexity of the overall security analysis. The techniques for decomposing security requirements, for verifying individual agents, and for deriving global security guarantees for the entire system from locally verified properties are all generic in the sense that they apply also to many other systems and security requirements than the ones that appear in the example scenario.     

Mindsets,shopping motivations and compulsive buying: Insights from China

This study investigates how mindsets (i.e., the beliefs that individuals have about the nature of human characteristics) are associated with compulsive buying behavior (i.e., the tendency to buy impulsively and obsessively). In particular, we test the relationships between consumer mindsets, three shopping motivations (deal proneness, social comparison, and hedonic motives) and compulsive buying. Based on a survey of 421 respondents conducted in China, our findings reveal the mechanism through which mindsets affect compulsive buying. The results show that when consumers believe in the consistency of personal traits (fixed mindset), they tend to be more vulnerable to deal offers and social comparison. These motivations increase the desire to seek hedonic pleasure, which is associated with a greater propensity for compulsive buying. However, when consumers believe that personal traits can be changed and developed (growth mindset), they seek hedonic pleasure in shopping, which result in a greater tendency to engage in compulsive buying. The present study adds to the existing body of knowledge by unveiling how different mindsets are associated with compulsive buying. In terms of practical implications, this study provides policy makers and marketers with a better understanding of the different motivations that lead to compulsive buying.     

Critical factors in consumer supermarket shopping behaviour: a neural network approach

This paper studies UK supermarket shopping behaviour, by analysing the antecedent variables of three critical factors: overall levels of customer satisfaction, number of trips to the supermarket, and amount spent. A neural network approach predicts these factors using ten input variables and three hidden nodes. Results show that the most satisfied and high‐spending customers tend to be those who have the income to take full advantage of the choice and quality offered. Other customers are more concerned with prices being reasonable and discounts available, but the satisfaction of these shoppers is also linked with store atmosphere. Copyright © 2001 Henry Stewart Publications.     

Acceptance factors of Zara's shopping app among fashion consumers during COVID-19

Online sales in the textile sector are undergoing a comprehensive renewal process as a result of COVID-19. This article analyzes how the pandemic has influenced the ZARA brand in its sales channel through its mobile application (app). This analysis has been carried out through the development of a UTAUT 2 model into which the constructs of Corporate Social Responsibility (CSR) and Design have been incorporated. Based on a sample of 736 Spanish people, an anonymous online questionnaire was distributed, and the responses were modeled using structural equations with Smart-PLS. From the results obtained and their interpretation, it is evident how, when purchasing textile products through the app, consumers are indifferent to the CSR of the brand, while design, ease of condition, and habit are shown as the elements that exert the greatest influence on the buyer. Despite being a growing trend within companies, the importance of CSR actions is not yet a determining factor in the intention to use fashion apps. Perhaps in a situation of uncertainty, consumers seek refuge in a well-known brand, without assessing whether the company is aligned with the interests of its environment. In times of COVID-19, users have changed their shopping habits, directly influencing online shopping. But what are the acceptance factors of these apps during this COVID-19 era? For this study, we have analyzed the ZARA fashion app through a sample of users in Spain, where the app has a higher number of active users.     

The impact of verbal prompts on child safety-belt use in shopping carts

Each year thousands of children are injured by falling from shopping carts. Buckling children into the seats of shopping carts could prevent many of these injuries. A combined reversal and multiple baseline across settings design was used to evaluate the impact of verbal prompts on shopping cart safety-belt use in two stores. Safety-belt use increased following implementation of the verbal prompt. This study extends the literature on the efficacy of verbal prompting in the promotion of safety-belt use.