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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 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.

The purpose of this paper is to study how cost efficiency and the reliability of a physical distribution network are affected by changes in online shopping demand and to suggest how logistics service providers can respond to such changes.

Based on a discrete event simulation approach, possible adaptive measures to online shopping demand increase are tested at three levels of decision making in parcel distribution network: priority assignment in the main hub (operational), introduction of sub‐hubs (tactical), and increase in the hub‐terminal capacity (strategic). The feasibility of the simulation is tested with parameters adopted from the logistics service data of an existing major parcel carrier in South Korea.

Findings from the simulation model suggest that the existing physical distribution network can improve its cost efficiency and service reliability by evolving into a more centralized network structure with increased capacity of transshipment facilities if the online shopping demand is expected to increase consistently over the long run.

This research will help logistics service providers to have good insights into performances of their distribution networks at different levels of demand and to devise a plan for adaptation to meet future demand.

This paper provides a framework to understand the complex relationship between network configurations, service levels, costs, and other decision‐making processes with respect to changes in online shopping demand based on a simulation approach.

Failed deliveries (i.e. deliveries not accomplished due to the absence of customers) represent a critical issue in B2C (Business-to-consumer) e-commerce last-mile deliveries, implying high costs for e-commerce players and negatively affecting customer satisfaction. A promising option to reduce them would be scheduling deliveries based on the probability to find customers at home. This work proposes a solution based on presence data (gathered through Internet of Things [IoT] devices) to organise the delivery tours, which aims to both minimise the travelled distance and maximise the probability to find customers at home.

The adopted methodology is a multi-method approach, based on interviews with practitioners. A model is developed and applied to Milan (Italy) to compare the performance of the proposed innovative solution with traditional home deliveries (both in terms of cost and delivery success rate).

The proposed solution implies a significant reduction of missed deliveries if compared to the traditional operating mode. Accordingly, even if allocating the customers to time windows based on their availability profiles (APs) entails an increase in the total travel time, the average delivery cost per parcel decreases.

On the academic side, this work proposes and evaluates an innovative last-mile delivery (LMD) solution that exploits new AI (Artificial Intelligence)-based technological trends. On the managerial side, it proposes an efficient and effective novel option for scheduling last-mile deliveries based on the use of smart home devices, which has a significant impact in reducing costs and increasing the service level.

Implementing automatic sorting operations in the parcel delivery industry can dramatically improve both capacity and service quality but demands radical and complex organizational change. The present in-depth grounded theory study examined a change process of this kind within one of the few global companies in the parcel delivery sector, focusing on three European hubs where automatic sorting had recently been introduced.

Grounded theory methodology, which facilitates the gradual emergence and dialogical interpretation of empirically grounded theoretical concepts, was particularly suited to the current project's open-ended research design and the hybrid (prescriptive but also constructive) nature of the change process under study. The investigation comprised iterative cycles of data collection, open coding, selective coding and theoretical coding over a three-year period.

In keeping with the dual nature of the change underway, a set of tensions were identified between pairs of opposite poles: manual vs automated, planned vs emergent and corporate vs site. The management of these tensions, which leveraged both prescriptive and sensemaking approaches, was found to trigger knowledge production, facilitating a gradual transition from high to low uncertainty and, consequently, progressive movement along the continuum between each pair of competing poles. Within this process, the industrial engineering function acted as an agent of change with a key orchestrating role.

As one of the first in-depth grounded theory analyses of tension management, this study contributes to the relatively recent debate on the recognition, analysis and handling of tensions and paradoxes in organizational change, suggesting innovative criteria for successful change management and identifying promising new avenues for research. From a managerial perspective, the study outcomes suggest that explicit recognition of uncertainty and tensions in organizational change can pave the way for solutions based on agility and continuous organizational learning.

The purpose of this paper is to evaluate how service perceptions influence customer views of the authenticity of corporate sustainability claims. The goal of this paper is to help supply chain decision-makers better understand boundary conditions in order to design more enduring and impactful sustainability programs.

The authors employ behavioral experiments, subjecting two theoretically derived hypotheses to verification across five diverse industries and two distinct sustainability vignettes.

Customer service perceptions emerge as a significant boundary condition to the perceived authenticity of sustainability efforts. Subjects attributed significantly higher authenticity toward sustainability efforts in above average vs below average service quality contexts. Further, respondents attributed deceptive motivations to sustainability efforts at companies with below average service.

The authors confirm the underlying tenet of social judgment theory, which suggests that a priori perceptions create a zone of acceptability or rejection. Ultimately, investing in sustainability can lead to counterproductive cynicism.

The authors infer that customers’ willingness to give companies credit for sustainability initiatives extends beyond service issues to any practice that influences a priori perceptions. Supply chain managers must rethink their role in designing both customer service and sustainability systems to achieve positive returns from sustainability investments.

The authors challenge the assumption that customers universally positively view sustainability efforts. If customers hold a priori negative service perceptions, otherwise well-designed sustainability programs may invoke cynical reactions. Thus, sustainability programs may not inoculate firm reputations from adverse incidents. Given they touch both service and sustainability systems, supply chain managers are positioned to holistically influence their design for competitive advantage.

The purpose of this paper is to analyze the environmental impact of distribution network design.

Typical distribution networks are identified and modeled through interviews with logistics companies in Korea. CO₂ emission is calculated for the distribution network models to evaluate the environmental impact of different network designs. In addition, economic and customer service performances are evaluated to provide realistic and balanced solutions to supply chain managers.

It is suggested that hybrid networks combining Hub-and-Spoke (HS) and Point-to-Point (PP) networks with a small number of sub-terminals are the most effective in both environmental and customer service aspects, whereas HS network is the most cost-effective.

The analysis in this study is based on certain assumptions, and hence full application of these results to specific cases is limited. The combination of PP network with HS network is suggested, forming a hybrid network, and CO₂ mitigation policies need to consider support schemes that can influence a firm’s decision making in relation to network design.

Little attention, however, has been paid to the environmental impact of distribution network design in the exiting literature. This study is a rare attempt at evaluating the environmental impact of distribution network design and may provide valuable implications to policy-makers and practitioners in logistics and manufacturing companies.

The purpose of this paper is to assess the conceptual relationship between operational, competitive market and financial performance of a company.

A model presented is designed on hand data envelopment analysis (DEA) and causal loop diagram (CLD).

Some of the paper's findings are that: a company which is located closer to the operational frontier will also be located closer to the market frontier; a company which is located closer to the market frontier will also be located closer to the financial frontier; the relationship of operational performance on financial performance is no weaker than that of market performance; firm‐specific financial risk is more influenced by such variables as quality, speed and flexibility than by cost‐related variables.

There are various papers about efficiency frontier analysis with DEA tools separately, but few about performance, market and financial frontier integrated using DEA and CLD. Unlike many quantitative papers, this paper uses DEA and CLD to analyze the conceptual relationship between operational, competitive market and financial performance of a company.

This explorative study aims to investigate work precariousness (WP) among EU27-based economically dependent solo self-employed, i.e. those with no employees and usually relying on just one client.

Univariate and multivariate analyses of European Working Conditions Survey (EWCS) (2015) and Eurostat data.

The analyses yielded Disempowerment, intended as lack of job autonomy and money-induced Vulnerability as the dimensions of WP. Disempowerment was found positively influenced by workers' threat of losing the job and negatively by the enjoyment from being their own boss. Vulnerability was negatively influenced by workers' age, perceived easiness to find new customers, household's financial well-being as well as the country's employment rate.

The study represents pioneer exploration of the phenomenon's dimensionality and main determinants.