scholarly journals Qualitative Study on Factors Influencing Aging Population’s Online Grocery Shopping and Mode Choice When Grocery Shopping in Person

Author(s):  
Ana Bezirgani ◽  
Ugo Lachapelle

Given that older adults are prone to car cessation, they may also be at risk of food insecurity. Online shopping has the potential to become a key solution to this growing social issue. The objective of this study was to understand how mode use relates to food shopping patterns, and what specifically motivates older adults to choose certain travel modes for grocery shopping or to shop online. Sixty-one retired individuals were interviewed in Montreal, Canada. Participants were first asked to discuss their food shopping habits and the modes they used to purchase food. Then, participants were asked open-ended questions about beliefs from the theory of planned behavior. Participants listed advantages/disadvantages, people who approve/disapprove, and facilitating factors/barriers related to travel modes and online grocery shopping. Most participants never used online grocery shopping. Results revealed similarities in shopping styles between car drivers and online shoppers. Both were organized (prepared lists), shopped in bulk, and went on regularly timed shopping trips. Public transit (PT) and active mode users were spontaneous and irregular shoppers who viewed in-person shopping as physical and social activity opportunities. Grocery shopping using these modes could be made easier for some participants if shops offered home delivery after in-store purchases. Car drivers were more likely to adopt online services than PT or active mode users who preferred delivery after in-person shopping to reduce obstacles linked to these modes. In order for online grocery shopping to be integrated as part of one’s established habits, both travel habits and grocery shopping habits must be observed jointly.

2020 ◽  
Vol 12 (22) ◽  
pp. 9594
Author(s):  
Leonardo Salvatore Alaimo ◽  
Mariantonietta Fiore ◽  
Antonino Galati

The advent of the Internet has significantly changed consumption patterns and habits. Online grocery shopping is a way of purchasing food products using a web-based shopping service. The current COVID-19 pandemic is determining a rethinking of purchase choice elements and of consumers’ behavior. This work aims to investigate which characteristics can affect the decision of online food shopping during the pandemic emergency in Italy. In particular, the work aims to analyze the effects of a set of explanatory variables on the level of satisfaction for the food online shopping experience. For achieving this aim, the proportional odds version of the cumulative logit model is carried out. Data derive from an anonymous on-line questionnaire administrated during the first months of the pandemic and filled by 248 respondents. The results of this work highlight that people having familiarity with buying food online, that have a higher educational level and consider food online channels easy to use, appear more satisfied for the food online shopping experience. These findings can be crucial for the future green global challenges as online shopping may help to reach competitive advantages for company sustainability.


2021 ◽  
Vol 5 (Supplement_2) ◽  
pp. 231-231
Author(s):  
Amy Lo ◽  
Emily Duffy ◽  
Shu Wen Ng

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


2014 ◽  
Vol 13 (5) ◽  
pp. 1187
Author(s):  
Sharon Rudansky-Kloppers

Online shopping has increased significantly worldwide in the last few years. South Africa is no exception, but although this country has experienced an increase in online shopping, it seems to lag behind the rest of the world where this development is concerned. Research into the factors which influence customer online shopping satisfaction is thus imperative in order for South African retailers to develop the correct strategies for online sales. With this information, they can convert potential customers into real customers and retain them. This research investigates the factors which influence customer online buying satisfaction in the Gauteng province of South Africa. The researcher made use of secondary research to construct a model of factors influencing online customer satisfaction and then tested the model among South Africans living in the Gauteng province. A sample of 111 online shoppers was used and quantitative research was conducted by means of a structured questionnaire. It was found that convenience, delivery, and time saving were viewed by customers as the most important reasons for buying online, while branding was viewed as the least important factor. The research results confirmed the model developed by the researcher. Results of the study, as well as recommendations for future research, are presented.


2019 ◽  
Vol 9 (4) ◽  
pp. 33-46
Author(s):  
Deepak Verma ◽  
Harish Kumar Singla

The authors attempted to understand the consumer behavior of fruit and vegetable shoppers in India and identify whether companies offering convenience can break the jinx of orthodox/habitual shopping. The important motivators for online shoppers and orthodox shoppers are identified which was followed by a survey from India's two major cities, Delhi NCR and Pune. The authors observe that online shoppers are mostly driven by convenience in terms of travel time savings, to avoid crowds, queuing, home delivery, avoiding driving/ traffic situations, whereas orthodox shoppers are driven by freshness and quality of fruits and vegetables and give more importance in having a personal touch while purchasing. Orthodox shoppers do get hassled with crowding, queuing, but still they stick to their habitual buying behavior and do not go to the option of online shopping.


2020 ◽  
Vol 17 (2) ◽  
pp. 1311-1317
Author(s):  
Hendra Gunawan ◽  
Nahry ◽  
Andyka Kusuma ◽  
Sarini Abdullah

Currently, parcel delivery activities are growing rapidly in the urban area along with the increase in online shopping transactions. This trend has an impact on the deterioration in the performance of the urban transportation system due to the increase of fleet of goods carriers as part of last mile delivery of online shopping. To overcome this situation, many countries have developed a delivery service using a parcel locker. In parcel locker service, consumers collect their shipments from lockers, which are mostly situated in public places, such as train stations, gas filling places, convenience stores, etc., instead of receiving them at their homes using a home delivery service. This service also exists in Indonesia, but its use is still not popular. This study aims to develop a choice model of last mile supply package between home delivery and parcel locker. The development of the model is based on the Binomial Logit Model. The calibration process uses the results of Stated Preference survey conducted to online shoppers who have not used parcel locker. Hypothetical conditions used in this survey represent the cost and location of a parcel locker. Location is represented by the shortest (<1 km), medium (1–3 km) and longest (3–5 km) distance of a parcel locker to the respondent’s home. Given the current cost, the potential demand for parcel lockers is 26%, 17% and 13% for short, medium and long distance, respectively. When the willingness to pay of the respondent is represented by a value whereby both methods will be chosen with the same probability, the parcel locker must offer a cost of 65% and 33%, respectively, of the home delivery option for the condition of short distance and medium distance; whereas the parcel locker cannot compete for long distance condition.


2020 ◽  
Vol 4 (Supplement_1) ◽  
pp. 24-25
Author(s):  
Erica Solway ◽  
Dianne Singer ◽  
Preeti Malani ◽  
Jeffrey Kullgren ◽  
Matthias Kirch ◽  
...  

Abstract This study examined the prevalence of loneliness and relationship with cooking and eating habits among older adults using data collected in December 2019 from a nationally representative sample age 50-80 through the National Poll on Healthy Aging. Older adults who live alone were more likely those who lived with others (19% vs. 8%) and those with a high PHQ-2 score were more like than those with a low PHQ-2 score (20% vs. 11%) to report that they do not cook dinner most days (0-2 times/week). Those who rated their diet as fair/poor were more likely to indicate they cook few meals a week (0-2) compared to those who reported a good or very good/excellent diet (18% vs. 11 % vs 8%). Those with a high PHQ-2 score were less likely than those with a low PHQ-2 score to say they do major food shopping less than once a week (31% vs 47%). Those with a high PHQ-2 score were more likely to say that that always ate alone in the last week compared to those with a low PHQ-2 score (17% vs 7%). These findings demonstrate that older adults who lived alone, had a higher PHQ-2 score, and had a poorer diet were more likely to cook and do grocery shopping less often. Strategies and policies to support older adults to address depressive symptoms and to increase cooking and improve diet may have many health and social benefits and will be explored through this session.


2015 ◽  
Vol 16 (1) ◽  
pp. 21-30 ◽  
Author(s):  
Lena Winslott Hiselius ◽  
Lena Smidfelt Rosqvist ◽  
Emeli Adell

Abstract Online shopping opportunities are transforming travel behaviour for shopping and could potentially reduce the overall travel demand. Despite numerous studies on online shopping, only a few have taken an approach that includes trips for all travel purposes. Based on a web–survey, this paper provides results on travel behaviour for physical shopping for frequent, regular, and infrequent online shoppers in Sweden. The results indicate that frequent online shoppers make as many car trips (for both shopping and other errands) as others. Also, frequent online shoppers in total make as many trips to a physical store as infrequent online shoppers – although by more sustainable modes of transport – and that the time saved from online shopping is spent on both additional shopping trips and trips for other errands. The conclusion is that online shopping might facilitate changing travel behaviour but does not in itself represent a good stand–alone measure for reducing vehicle mileage.


2021 ◽  
Vol 17 (3) ◽  
pp. 189-199
Author(s):  
Chantelle Mascarenhas ◽  
Dr. Sanjaykumar P. Phad

Convenience, accessibility and inexpensive range of information have attracted many towards the field of online shopping, luring them for more and more shopping experiences with availability of a wider range of products. Online shopping being a larger industry, needs to keep themselves constantly updated with the types of consumers choosing to shop online, the factors influencing e-consumers attitudes to shop, the kinds of e-purchases made and the mode of payment opted for online shopping purchases. The purpose of this research paper is to seek such information to help online marketers to map out strategies in order to cover a wide range of consumers in the society by transforming the offline shoppers to online shoppers and optimizing sales of different e-purchases. Thus, making web based applications an interactive mode to connect e-tailers with e-consumers with utmost trust and transparency. This research paper involves collection and analysis of data through 100 respondents with the help of questionnaire method.


2016 ◽  
Vol 6 (3) ◽  
pp. 219-255
Author(s):  
Balusamy S ◽  
Giri N

E-commerce offers many online marketing opportunities to companies worldwide and along with high rapid growth of online shopping; it has impressed many retailers to sell products and services through online channel to expand their market. Online shopping or marketing is the use of technology (i.e., computer, internet) for better marketing performance. And retailers are mixing strategies to meet the demand of online shoppers; they are busy in studying consumer in the field of online shopping, to see the consumer attitudes towards online shopping and specifically studying the factors influencing consumers to shop online. e- retailers should keep in mind that consumer behavior might change in time to time especially in online market so the e-retailer should investigate the consumer behavior in time to time and adapt the products and services to serve as the customer requirements


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