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Online retailers widely use self-service parcel delivery as a solution to the last-mile logistics problems. The purpose of this paper is to investigate the factors that affect the consumer’s intention to use self-service parcel delivery service.

The authors integrate prior research and propose a comprehensive three-factor model. The study combines individual and situational factors and proposes a socialized factor.

This study found that location convenience, optimism, innovation, and the need for human interaction positively affect the consumer’s intention to avail of the self-service parcel delivery service. It also identifies that socialized factor positively influences the consumer’s intention to use self-service parcel delivery services.

The test results show that the explanatory power of the individual factors of the model is better than that of the situational factors. However, this does not imply that the situational factors cannot explain the consumer behavior well. Future studies should employ additional situational factors to explain the consumer behavior.

This study offers valuable theoretical and managerial implications. Delivery service providers should concentrate on their marketing force and customize their services for consumer groups who have specific individual characteristics, such as optimism and innovation.

Strengthening service interactions in the social factor and choosing optimal locations for self-service pickup machines are also essential for the expansion of the users’ population and enhancement of service experience.

The authors combined situational and individual factors, proposed a socialized factor, and presented the three-factor model of the consumer’s intention to use self-service parcel delivery service.

The purpose of this paper is to investigate the potential of a new convenience‐enhancing service at the interface between retailers and consumers: time‐based delivery of parcels. The service allows consumers to choose a preferred time slot for a parcel to be delivered. This convenience‐enhancing logistics service may be attractive for consumers, retailers, and logistics service providers. The authors provide insights on consumers' willingness to pay (WTP) for this service and important drivers of its attractiveness.

This paper measures and analyzes the attractiveness and antecedents, the WTP, and the overall revenue potential of this service based on an empirical analysis. A contingent valuation approach was adopted to measure the WTP and the level of usage.

Research results suggest that the level of availability at home and the working hours per week are important antecedents of the perceived attractiveness of the service. Furthermore, consumers who perceive this convenience‐enhancing service as attractive, represent a market segment that has significant revenue potential.

Based on the analysis, important managerial insights are derived that can guide logistics service providers and retailers in their decision to implement such a novel service.

The paper enhances the scope of convenience services, providing empirical data for a time‐based delivery service.

The purpose of this research is to reveal consumer preferences towards innovative last-mile parcel delivery and more specifically unmanned aerial delivery drones, in comparison to traditional postal delivery (postie) and the recent rise of parcel lockers in Australia. The authors investigate competitive priorities and willingness to pay for key attributes of parcel delivery (mode, speed, method and time window), the role of contextual moderators such as parcel value and security and opportunities for logistics service providers in the growing e-commerce market.

A survey involving stated choice experiments has been conducted among 709 respondents in urban Australia. The authors estimated panel error component logit models, derived consumer priorities and deployed 576 Monte Carlo simulations to forecast potential delivery mode market shares.

The study results suggest that people prefer postie over drone delivery, all else equal, but that drone deliveries become competitive with large market shares if they live up to the premise that they can deliver faster and cheaper. Both drone and postie become less attractive relative to parcel lockers when there is no safe place to leave a parcel at a residence, highlighting the importance of situational context and infrastructure at the receiving end of last-mile delivery. The authors identified opportunities for chargeable add-on services, such as signature for postie and 2-h parcel deliveries for drones.

The authors offer timely and novel insights into consumers preferences towards aerial drone parcel deliveries compared to postie and lockers. Going beyond the extant engineering/operations research literature, the authors provide a starting point and add new dimensions/moderators for last-mile parcel delivery choice analysis and empirical evidence of market potential and competitive attributes of innovative versus traditional parcel delivery alternatives.

The aim of this study is to develop a structural model and test it in the parcel delivery services business‐to‐business market in order to identify how services quality influences relationship quality and to determine the interactions between constructs of relationship quality.

A structural model was developed using frameworks suggested by Gwinner et al., Hennig‐Thurau et al. and Bingguang et al. Online survey research was employed to survey the respondents. Structural equation modeling was employed to estimate structural model and test hypotheses.

The research demonstrated that services quality does not have direct influence on commitment, but impacts it indirectly through various relational benefits. The results imply that services quality is not enough for commitment‐based loyalty to develop. Relational benefits are essential. The results demonstrated that special treatment benefits, social benefits and confidence benefits are intricately related and have effect on each other. Main findings of the study demonstrated that in parcel delivery services industry there exist context‐specific relationships between constructs of relationship quality. The research found out that the interactions between constructs of relationship quality in parcel delivery services industry are different. Moreover, the empirical study confirmed the existence of industry‐specific direct and indirect loyalty drivers.

The developed relationship quality model is intentionally limited to parcel delivery services industry in order to examine industry‐specific relationships between the constructs. The model could be extended in order to model competition and effects of change in relationship quality on customer life‐time‐value.

The model can be used by managers of parcel delivery companies to assess loyalty and commitment of clients.

This study is the first attempt to identify how services quality influences relationship quality, test relationships between constructs of relationship quality and examine context‐specific relationship in the parcel delivery market.

The purpose of this paper is to examine the effects of final delivery solutions on e-shopping usage behaviour by modelling their interaction across residents living in different neighourhoods with availabilities of different facilities, including automated parcel stations (APSs), collection and delivery points (CDPs), and the direct-to-home delivery stations of parcel express firms (PEFs).

The study is based on a survey on e-shopping behaviour and delivery awareness. A mixed structural equation model is used to predict the interactions among availability of final delivery facilities (AFDF), level of satisfaction with delivery services and e-shopping usage after controlling individual socioeconomic attributes and retail environment.

Compared with AFDF, individual socioeconomic attributes are the most influential factors contributing to e-shopping spending and frequency. Improving AFDF has only a slight effect on e-shopping spending, while a larger impact on e-shopping frequency and perceived satisfaction to delivery services is observed. The quantity of PEF delivery stations has a relatively large influence on e-shopping usage but the effects of APSs and CDPs are not as strong as expected.

The causality between final delivery solutions and e-shopping behaviour can be further tested by using social experiments or longitudinal data.

All findings will help business and public policy decision makers to derive a balanced and effective deployment of final delivery solutions, which is also referential for other emerging markets similar to China.

This study theoretically contributes to the international literature by examining the heterogeneous effects of final delivery solutions on different aspects of e-shopping engagement.

The purpose of this research is to provide a comparison of customer satisfaction of two largest US parcel delivery companies, the UPS and FedEx.

The paper is contrast the overall customer satisfaction and five critical factors (availability, responsiveness, reliability, completeness, and professionalism of service) that directly affect customer satisfaction for these two parcel delivery companies. Written questionnaire responses from university departments/units in the USA were collected and used for the comparison analysis. An independent samples t‐test was used to compare the ratings of customer satisfaction of these two parcel companies.

The paper find's no significant differences in the ratings of service quality of that these two parcel delivery companies provide with respect to both incoming and outgoing mail. The results of this research suggest that the similarity in ratings of service quality of these two companies explain their equally dominant positions in the parcel service industry.

The survey subjects only include units/departments within universities, with most of the participants located in Nebraska. By expanding the total number of surveys to include more industries and locations, this research could provide additional insight into the parcel service industry and customer satisfaction. Additionally, price of parcel delivery service was not included as a factor impacting customer satisfaction. Price of service may play an important role in customers' selection of parcel carrier.

Findings of this research provide customers insights into the service quality of parcel delivery companies in order for them to make a choice of which carriers to use.

This article aims to open the black box of the relationship between customer experience and customer satisfaction. The authors also take a fine-grained approach to the concept of customer experience analysis in terms of four dimensions: basic service experience (BSE), moments of truth (MT), focus on results (FR) and peace of mind (PM).

A total sample of 185 industrial customers in Spain was collected via an online platform from March to April 2020. The data were analysed using partial least squares-structural equation modelling (PLS-SEM).

The results indicated that the four dimensions of customer experience are the foundation of commercial success (i.e. customer satisfaction) for express parcel companies in the business-to-business (B2B) environment. Therefore, the most innovative express parcel companies should not only pay attention to providing services in accordance with the customer agreement but also go beyond that; hence, these companies must understand customer needs to be able to offer a unique experience. Therefore, these companies must design experiences that go beyond pure technical delivery services.

Although previous work has linked customer experience to customer satisfaction, there is little work that does so specifically in an industry as in vogue as express parcels and less so in the B2B environment. In addition, this work analyses fine-grained customer experience in terms of grain's four dimensions, and therefore, the authors analyse how each dimension (e.g. more rational or more subjective dimensions) impacts customer satisfaction. Few studies have focussed on this type of analysis for express parcel companies in the B2B environment.

This paper aims to explore the conditions in a business-to-business-to-consumer (B2B2C) context characterized by new technologies. Innovations enhance disintermediation and pursue sustainability goals that drive customers’ willingness to use eco-friendly delivery options, namely, parcel lockers – in e-commerce and their impacts in terms of communication and transparency along the supply network.

The study conducted an extensive survey in Italy and Germany, collecting 1,010 usable responses. Structural equation modelling was used to analyse the data with the aim of identifying the factors that drive customers’ willingness to use parcel lockers and the effect on customers’ behaviour as determined by the disclosure of information about the environmental performance of different delivery options.

The results highlight several factors affecting the willingness to use parcel lockers, namely, performance and effort expectancy, social influence, technology anxiety, hedonistic motivation and environmental knowledge. The results also demonstrate that the disclosure of information about the environmental performance of different delivery options influences customers’ behaviour.

This paper faces several limitations, mostly related to the focus on just two countries, the use of cross-sectional data and the survey’s explicit reference to just one type of product. Nevertheless, the findings contribute to the discussion on the relevance of information sharing along the supply chain, providing favourable evidence in this regard. It also improves the stream of research concerning technology adoption in the context of e-commerce, highlighting factors that can lead consumers to use eco-friendly self-service technologies.

The results can support companies in understanding how they can design and manage the last mile of delivery to jointly achieve customer satisfaction, process efficiency and superior environmental performance.

This pioneering contribution studies the adoption of delivery solutions for e-commerce and its implications for the supply network.

The e-commerce boom presents new challenges for last-mile delivery (LMD), which may be mitigated by new delivery technologies. This paper evaluates the impact of mobile parcel lockers (MPL) on costs and CO₂ equivalent (CO₂e) emissions in existing LMD networks, which include home delivery and shipments to stationary parcel lockers.

To describe customers’ preferences, we design a multinomial logit model based on recipients’ travel distance to pick-up locations and availability at home. Based on route cost estimation, we define the operating costs for MPLs. We devise a mathematical model with binary decision variables to optimize the location of MPLs.

Our study demonstrates that integrating MPLs leads to additional cost savings of 8.7% and extra CO₂e emissions savings of up to 5.4%. Our analysis of several regional clusters suggests that MPLs yield benefits in highly populous cities but may result in additional emissions in more rural areas where recipients drive longer distances to pick-ups.

This paper designs a suitable operating model for MPLs and demonstrates environmental and economic savings. Moreover, it adds recipients’ availability at home to receive parcels improving the accuracy of stochastic demand. In addition, MPLs are evaluated in the context of several regional clusters ranging from large cities to rural areas. Thus, we provide managerial guidance to logistics service providers how and where to deploy MPLs.