Contrasting Thai and Chinese Shopper Behavior and Satisfaction with PL Brands

Over the last decade, retailers and manufacturers alike are increasing their attention to the role of instore mobile technology use with the aim to understand its impact on consumers’ decision making process. The rise of the mobile channel, in fact, has produced disruptive changes in shopping habits designed to gradually reduce the effectiveness of in-store marketing levers in influencing shopping behaviour.This topic is of paramount importance in grocery sector since retailers and manufacturers devote a lot of investments in instore marketing activities with the aim to influence consumers’ decisions and stimulate impulse purchases. Nevertheless, there are few contributions about the influence of the mobile technology in a retail setting and its effects on buying behavior inside the store.Our research intends to explore the impact of in-store mobile technology use on shopper behavior instore in order to understand its effects on planned versus unplanned purchases. According to our preliminary results, consumers using mobile technology instore make less unplanned items and fail to purchase more planned items. Moreover, the use of mobile technology negatively impacts shoppers’ ability to recall in-store stimuli. Our findings are interesting for both retailers and manufacturers who are looking for new ways to better address their marketing efforts and increase consumers’ engagement instore.

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The effects of store environment elements on customer-to-customer interactions involving older shoppers

Journal of Services Marketing ◽

10.1108/jsm-05-2016-0200 ◽

2017 ◽

Vol 31 (4/5) ◽

pp. 339-350 ◽

Cited By ~ 13

Author(s):

Joana Tomazelli ◽

Patricia Liebesny Broilo ◽

Lélis Balestrin Espartel ◽

Kenny Basso

Keyword(s):

Qualitative Research ◽

Design Methodology ◽

Social Contact ◽

Retail Environment ◽

Policy Makers ◽

Content Type ◽

Shopping Experience ◽

Shopper Behavior ◽

Store Environment ◽

Practical Implications

Purpose The purpose of this study is to investigate older shopper behavior in a retail environment. The study focused on how the environment elements of supermarket stores influence older customers to interact with other customers when they shop for groceries. Design/methodology/approach Various qualitative research techniques were undertaken, including interviews with retail architecture experts, store employees, a psychologist and a gerontologist; in addition, five interviews followed by three focus groups were conducted with older shoppers in Brazil. Findings Customer-to-customer interactions that are related to the environment elements of supermarkets tend to influence the shopping experience of the older shoppers, which has an impact on satisfaction. Although some customers may value social contact, some interactions can involve discomfort and embarrassment. Research limitations/implications The study sheds light on the understanding of the influence of the environment elements of supermarket stores on customer-to-customer interactions, and it proposes such interactions to be a relevant strategy that is used by older customers to maximize their satisfaction, although such strategies can also lead to dissatisfaction. Practical implications The findings provide insights regarding the specific needs of older customers in a supermarket context, associated with the design and ambient elements of the store environment, which can be valuable for retailers and policy-makers. Originality/value Considering the limited understanding of older shoppers and their experiences, this study provides a thorough understanding of how the retail environment can influence customer-to-customer interactions that involve older shoppers. Moreover, the study captures how interactions, which are influenced by the retail environment, can result in dissatisfaction; however, such interactions can also be used by older customers to modify their satisfaction with the shopping experience.

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Who's Grocery Shopping Online and Why: Cross-Sectional Analysis of a Nationally-Representative Sample Since the Pandemic

Current Developments in Nutrition ◽

10.1093/cdn/nzab029_032 ◽

2021 ◽

Vol 5 (Supplement_2) ◽

pp. 231-231

Author(s):

Amy Lo ◽

Emily Duffy ◽

Shu Wen Ng

Keyword(s):

Online Shopping ◽

Age Groups ◽

Grocery Shopping ◽

Sociodemographic Characteristics ◽

Cross Sectional ◽

Lower Odds ◽

Funding Sources ◽

Food Shopping ◽

Shopper Behavior ◽

Nationally Representative

Abstract Objectives COVID-19 has created a new normal, affecting food purchasing behaviors, moving a portion of them online. It is unknown how these behavioral shifts may differ by sociodemographic characteristics and whether shifts may widen or diminish existing diet-related disparities. To fill these gaps, we use nationally-representative Consumer Panel survey data to examine shifts in online grocery shopping by sociodemographic characteristics. Methods The Nielsen COVID-19 Shopper Behavior Survey was administered to a subset of Nielsen Homescan panel participants in March-April 2020 (n = 17,262 households (HH)). We describe survey-weighted HH sociodemographic characteristics and reasons for online shopping. Survey weighted-multivariable logistic regression was used to examine sociodemographic correlates of reported increases in online food shopping. Results One third (34%) of our survey-weighted sample said they shopped for groceries online more since COVID-19, and 60% of these HH reported planning to continue shopping online after COVID-19. In adjusted analyses, all age groups (40–54 y, 55–64y, 65 + y) had lower odds of online shopping than heads of HH 39 years or younger (all OR = 0.7, P < 0.001). Lower educated (high school or less) HH had lower odds of online shopping compared to higher educated (college or more) HH (OR = 0.7, P < 0.001). HH in the South had higher odds of online shopping than those in the Northeast (OR = 1.2, P = 0.006). Compared to Non-Hispanic (NH) white HH, Hispanic HH had higher odds of online shopping (OR = 1.2, P = 0.02), and NH Asian HH had lower odds of online shopping (OR = 0.8, P = 0.02). HH with children had higher odds of online shopping compared to households without children (OR = 1.4, P < 0.001). Of those who said they would increase the amount of online shopping they did for everyday items including food (37%), the top reasons were to avoid public germs and COVID-19 (81%), to take advantage of the convenience (44%) and to access a better selection (17%). Conclusions There are disparities in shifts in online shopping behaviors due to COVID-19. Understanding these disparities can inform public health nutrition interventions related to online food shopping. We will assess the August 2020 survey as the pandemic may further change food shopping habits. Funding Sources Arnold Ventures & National Institutes of Health

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Fundamental patterns of in-store shopper behavior

Journal of Retailing and Consumer Services ◽

10.1016/j.jretconser.2017.02.003 ◽

2017 ◽

Vol 37 ◽

pp. 182-194 ◽

Cited By ~ 35

Author(s):

Herb Sorensen ◽

Svetlana Bogomolova ◽

Katherine Anderson ◽

Giang Trinh ◽

Anne Sharp ◽

...

Keyword(s):

Shopper Behavior

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Psychological antecedents of apparel-buying intention for young Indian online shoppers

Journal of Modelling in Management ◽

10.1108/jm2-05-2018-0059 ◽

2019 ◽

Vol 14 (2) ◽

pp. 286-311

Author(s):

Vinita Singh ◽

Ranjan Chaudhuri ◽

Sanjeev Verma

Keyword(s):

Psychological Factors ◽

Scale Validation ◽

Phase Iii ◽

Buyer Behavior ◽

Content Type ◽

Effective Strategies ◽

Development Methodology ◽

Online Shoppers ◽

Shopper Behavior ◽

Online Buying

Purpose This paper aims to determine a scale for measuring psychological factors of apparel-buying intention for young Indian online shoppers. Design/methodology/approach Churchill’s three-stage systematic scale-development methodology is used to develop a psychometric scale. Items were generated and selected in Phase I, followed by scale refinement in Phase II and scale validation in Phase III. Findings The final scientifically validated scale has 36 item scales that measure 10 psychological factors of apparel online-buying intention for online shoppers, from which “perceived value” emerged as the most significant factor. Research limitations/implications This scale is a sector-specific scale that cannot be generalized to other sectors; therefore, further iterations/customizations should be made in future studies for applicability in other sectors. Practical implications This reliable and valid scale will help marketing managers to understand online shopper behavior and formulate effective strategies for online shoppers. Originality/value This paper, to the author’s knowledge, is the first attempt to develop a validated tool to measure the psychological factors of apparel-buying intention for young Indian online shoppers. This scale encompasses all important touch-points in measuring psychological factors influencing online buyer behavior for apparel products.

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