Consumer Motivations for Click-and-Collect and Home Delivery in Online Shopping

Author(s):  
Maria-Jose Miquel-Romero ◽  
Marta Frasquet-Deltoro ◽  
Alejandro Molla-Descals
Logistics ◽  
2021 ◽  
Vol 5 (2) ◽  
pp. 29
Author(s):  
Cheng Cheng ◽  
Takanori Sakai ◽  
André Alho ◽  
Lynette Cheah ◽  
Moshe Ben-Akiva

The rapid growth in online shopping and associated parcel deliveries prompts investigation of the factors that contribute to parcel delivery demand. In this study, we evaluated the influence of locational and household characteristics on e-commerce home delivery demand. While past research has largely focused on the impacts of the adoption of online shopping using individual/household survey data, we made use of data from an e-commerce carrier. A linear regression model was estimated considering factors such as degree of urbanization, transit and shopping accessibility, and household attributes. The results both confirm and contradict prior research findings, highlighting the potential for a non-negligible influence of the local context on demand for parcel deliveries.


2021 ◽  
pp. 137-150
Author(s):  
Sandra Luttermann ◽  
Caroline Buschmann ◽  
Michael Freitag ◽  
Herbert Kotzab ◽  
Jonas Tiggemann ◽  
...  

2020 ◽  
Author(s):  
Mohamed El Boujjoufi ◽  
Ahmed Mustafa ◽  
Oualid Benkorichi ◽  
Jacques Teller

<p>The novel Coronavirus (COVID-19) impacted daily life for residents of the majority of countries worldwide. In this this research note, we explore how the pandemic is changing religious-oriented shopping with a focus on Muslim shopping. While supermarkets provided online shopping and home delivery services, Islamic store, as small business, could not opt for such services in Belgium and many other countries. Therefore, we designed and conducted a consumer survey with a special target of Muslim shoppers between April 27 and May 6 2020 in all Belgium regions. We found that despite stay-at-home directives that is effective since early March 2020, Muslims are still leaving their homes to buy Islamic groceries “Halal”. Most importantly, the daily pattern of shopping has significantly been changed, which helped in reducing the density of shoppers in the stores. </p>


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.


2018 ◽  
Vol 2018 ◽  
pp. 1-10 ◽  
Author(s):  
Li Jiang ◽  
Changyong Liang ◽  
Junfeng Dong ◽  
Wenxing Lu ◽  
Marko Mladenovic

Frequent time window changing disruptions result in high secondary delivery rates in the last mile delivery. With the rapid growth of parcel volumes in online shopping, the time window changing disruptions could translate to substantial delivery cost-wastes. In recent years, customer pickup (CP), a new delivery mode that allows customers to pick up their parcels from shared delivery facilities, has provided a new way to deal with such disruptions. This study proposed a disruption recovery problem with time windows change in the last mile delivery in which customers can be served through home delivery (HD) or CP. A variant variable neighborhood descent (VVND) algorithm was presented to solve the problem. Computational experiments based on a set of instances were tested, and results were compared with other heuristics in the literature, which have affirmed the competitiveness of the model and algorithm.


Author(s):  
Man-Ching Yuen ◽  
Yip-Hin Choi ◽  
Tsun-Hin Ng ◽  
Chun-Tung Poon ◽  
Kin-Chung Fung

Home delivery service is an essential service for online shopping. The need for reliable delivery system to ensure freshness of foods is challenging with consumers’ busy schedule and heavy traffic. An efficient fresh food delivery tracking system is designed and implemented for tracking the fresh food delivery ordered on an online shopping system. The proposed system made use of Internet of Things (IoT) technology, Global Positioning System (GPS) and a smart online shopping system. Using this GPS system, consumers are able to track their delivery and arrival of their grocery to ensure the freshness of products. To create the user-friendly access website, we have included four functions in this website: Online shopping cart, system to support various payment methods, GPS food tracking system, and members’ easily access account data system. Since the cost of this fresh food delivery tracking system is low, it is suitable for online shop of start-ups.


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.


Author(s):  
Fahima Khanam

Online shopping has increasingly become popular in Bangladesh with the introduction of globalization. Many people, specifically the younger generation, are purchasing various types of products every day online as it is convenient and saves time. Consumers are influenced to purchase online as a result of many factors including time-savings, fast delivery, ease of the transaction, and a website's user friendliness, and many more. The consumer evaluation is important to explore why a consumer intends to purchase online. The present study is an attempt to determine the factors that influence consumers' online shopping in Dhaka. Through this process, this study attempts to identify the critical factors that influence consumers' online shopping in Dhaka and to evaluate the association between these factors and consumers' online shopping habits. It also tries to determine the importance of these factors on consumers' online purchasing habits and to identify problems and suggest possible recommendations. The factors that are being considered include convenience factors, psychological factors, promotional factors, technical factors, and motivational factors. Each factor has some distinct variables. Convenience factors include less time, home delivery, and ease of transaction. Psychological factors include domain specific innovativeness, and opinion of friends and peers. Promotional factors include online ads, and social media exposure. Technical factors include user-friendliness of websites, and display of product details. Motivational factors encompass utilitarian and hedonic values. For this study the Multiple Regression Analysis Model was used. A structured questionnaire survey was conducted on 120 consumers to obtain consumers' opinion regarding how their purchase habits are sparked by different factors. The results reveal that only the home delivery system and utilitarian value of online shopping makes customers consider purchasing online. The other important influences were opinion of friend and peers, social media exposure, and display of product details. This study can hopefully shed some new insights into consumers' online purchasing habits.


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