Understanding consumers’ behavior to adopt self-service parcel services for last-mile delivery

Min, Zhou; Zhao, Lindu; Kong, Nan; Campy, Kathryn S.; Xu, Guizhi; Zhu, Guiju; Cao, Xianye; Wang, Song

doi:10.1016/j.jretconser.2019.101911

Cited by 124 publications

(124 citation statements)

References 109 publications

(56 reference statements)

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“…Mobile CDPs are actually automatically guided vehicles with lockers, which at the initial location receive goods and transport them to locations in the immediate vicinity of the customers (Joerss et al, 2016;DHL, 2014). Major logistics service providers in the world have implemented unattended CDPs (Zhou et al, 2020;Ghajargar et al, 2016). Unlike attended CDPs, where the collection of goods is conditioned by working hours, mobile and stationary unattended CDPs installed outside facilities allow the customer to collect the goods at any time (Zhou et al, 2020;Browne et al, 2001).…”

Section: Fig 6 End Points Of Home Deliverymentioning

confidence: 99%

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Home Delivery: A Framework for Structuring

2021

IJTTE

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Home delivery, as a flow of goods between the company and the consumer (B2C) at the end of the supply chain ("last mile"), can be realized by the manufacturer, retailer or third party (logistics provider, crowd-worker). The growth of home delivery services in recent decades has been predominantly stimulated by the development of online ordering, i.e. e-commerce. Delivery characteristics depend on the characteristics of the environment and a number of factors related to stakeholders (customers, companies, governments). In order to improve the quality of service and customer satisfaction, company profitability and (or) reduce the negative effects of deliveries on the environment, area and community functionality, various delivery models are designed and implemented in terms of need for ordering, frequency, ordering and payment system, starting and end points, executors, reception method, security, delivery area, speed and time of realization, return flows, etc. This paper proposes a framework for a comprehensive structuring and classification of home delivery models according to the stated characteristics/criteria. Also, the advantages, disadvantages, interdependence and applicability of different delivery models in changing circumstances are described. In this way, a comprehensive review of home delivery flows was performed, the literature that deals with this area in a similar way was supplemented, but the basis for future research was also created.

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Section: Fig 6 End Points Of Home Deliverymentioning

confidence: 99%

“…The benefits of using CDPs are numerous, from the perspective of all stakeholders (Zhou et al, 2020;Chen et al, 2018;Yuen et al, 2016;McLeod et al, 2006). From the supplier's perspective, this model minimizes the number of failed home deliveries, thus reducing costs.…”

Section: Fig 6 End Points Of Home Deliverymentioning

confidence: 99%

Home Delivery: A Framework for Structuring

2021

IJTTE

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“…It is argued that e-commerce retailers welcome the self-service parcel delivery service as an effective “last mile” delivery solution, and consumer uptake behaviour is a key point in adapting to this emerging technology. Empirical results show that expected performance, waiting time, social impact, and facilitative conditions are positive factors, and perceived risk negatively influenced behavioural intentions [ 4 ].…”

Section: Relevant Logistical Problems Of Theoretical Analysismentioning

confidence: 99%

Preliminary Analysis of Changes in Logistics Processes to Assess the Impact of a Pandemic

Bazaras

2021

Lecture Notes in Networks and Systems

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The article analyzes possible changes in logistics processes during the COVID-19 pandemic. It is probable that the fact of the pandemic and the decisions taken by the states – restrictions, quarantine – affected the logistics processes, adjusted them and encouraged the adoption of new decisions. Most of the measures taken had signs of crisis management and were adopted quickly, presumably without sufficient time for detailed discussions. Virtually all of the methodological texts analyzed focus on the premise that logistics processes should not stop at both the transport of goods and strategic goods and the mobility of people, but logistics processes should be complemented by measures that minimize the risk of infection. The work analyzes the works of scientists and, after evaluating the analyzed recommendations, formulates the preconditions for qualitative research – an expert survey. The study confirmed that significant changes have taken place in the global logistics supply chain, which has been affected by the stagnation of product production and the increase in demand. Logistics is expected to adapt to change and more successfully withstand subsequent pandemic waves.

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“…Current increase in last mile delivery is the impact of an increase of the home delivery service in a region due to the development of e-commerce. Therefore, last mile delivery has an important role in the sustainability of ecommerce 10,11,25) . The implementation of good delivery using the home delivery service results in several similar problems throughout the world.…”

Section: Literature Reviewmentioning

confidence: 99%

“…The time of the goods receipt is uncertain, and recipients are forced to wait at home. Alternatively, when goods arrive at their destination there are no recipients to receive them 15,21,24,25) . The vehicles used are small vehicles and their large numbers result in high emissions 5,19,20) .…”

Section: Literature Reviewmentioning

confidence: 99%

Analysis of Characteristics and Efficiency of Smart Locker System (Case Study: Jabodetabek)

Refaningati

Nahry²,

Tangkudung³

et al. 2020

Evergreen

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Last mile delivery is the last trip of an item before it arrives at the final destination. The current increase of last mile delivery is the impact of increasing home delivery services in areas that see a growing development of e-commerce. There are several issues in the operational process, including the high number of trips taken from parcel delivery service. One of the innovations used to solve these issues is the smart locker system. The objective of this research is to analyze the characteristics and efficiency of the smart locker system that has been running in Jabodetabek to reduce the trips taken for home delivery service. Data analysis was performed using the travel diary data of a single smart locker operator. Results showed that the use of smart locker is not without faults and causes the performance of each transit hub (as a part of a trip chain of smart lockers) to significantly differ. One issue includes the variable of waiting time either at the pickup or at the delivery of shipments. Another issue is that the coverage area for each locker is not the same, thus affecting the performance of each transit hub. In terms of delivery trip length, the use of the smart locker is 30.65% more efficient when compared to parcel delivery service. In order to deliver 222 items, the total trip length for parcel delivery is 717.8 km, while using the smart locker requires a total trip length of 497.83 km.

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Understanding consumers’ behavior to adopt self-service parcel services for last-mile delivery

Cited by 124 publications

References 109 publications

Home Delivery: A Framework for Structuring

Home Delivery: A Framework for Structuring

Preliminary Analysis of Changes in Logistics Processes to Assess the Impact of a Pandemic

Analysis of Characteristics and Efficiency of Smart Locker System (Case Study: Jabodetabek)

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