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With the vigorous development of the e-commerce delivery service industry, delivery service has become an important factor for e-tailers to obtain the market competitive advantage. However, how to choose the best delivery service strategy is a difficult problem for e-tailers in practice. The purpose of this paper is to investigate the effect of delivery service on e-tailers and online platforms.

Based on the Stackelberg game, the research study establishes and solves three models, namely dual self-supporting delivery service model, dual third-party delivery service model and differential delivery service model.

The results show that when the self-supporting and third-party delivery cost coefficients are all small, no matter which delivery service providers the competitor selects, the e-tailer selects delivery with a lower service fee. When the self-supporting and third-party delivery service fee are all low, no matter which delivery service providers the competitor selects, the e-tailer selects delivery with a smaller service cost. Both service fee and service cost determine the choice of e-tailers' delivery strategy. When the commission rate is moderate, both e-tailers are willing to choose the self-supporting delivery strategy, but the platform only prefers to provide self-supporting delivery to them with a lower delivery service sensitivity coefficient.

This paper analyzes the optimal delivery service strategies for e-tailers to compete with competitors, and explores the impacts of parameters for e-tailers and online platforms in their decision-making. The findings provide valuable implications for relevant practices.

User experience is key for measuring and improving the quality of services, especially in high personal and relation-intensive sectors, such as healthcare. However, evidence on whether and how the organizational model of healthcare service delivery can affect the patient experience is at an early stage. This study investigates the relationship between healthcare service provision models and patient experience by focusing on the nursing care delivery.

65 nurses' coordinators were involved to map the nursing models adopted in the healthcare organizations of in an Italian region, Tuscany. This dataset was merged with patient experience measures reported by 9,393 individuals discharged by the same organizations and collected through a Patient-Reported Experience Measures Observatory. The authors run a series of logistic regression models to test the relationships among variables.

Patients appreciate those characteristics of care delivery related to a specific professional nurse. Having someone who is in charge of the patient, both the reference nurse and the supervisor, makes a real difference. Purely organizational features, for instance those referring to the team working, do not significantly predict an excellent experience with healthcare services.

Different features referring to different nursing models make the difference in producing an excellent user experience with the service.

These findings can support managers and practitioners in taking decisions on the service delivery models to adopt. Instead of applying monolithic pure models, mixing features of different models into a hybrid one seems more effective in meeting users' expectations.

This is one of the first studies on the relationship between provision models of high-contact and relational-intensive services (the healthcare services) and users' experience. This research contributes to the literature on healthcare service management suggesting to acknowledge the importance of hybridization of features from different, purely theoretical service delivery models, in order to fit with providers' practice and users' expectations.

• This is one of the first studies on the relationship between provision models of nursing care and patient experience.

• Healthcare services' users appreciate service delivery characteristics identified with “be cared by,” or in other words with having a reference nurse.

• Nursing models' features that relate to the organizations and that providers tend to judge as professionalizing and evolutive, such as team working, appear not key in relation to patient experience.

• Pure models of service delivery are theoretically useful, but hybrid models can better meet users' expectations.

This is one of the first studies on the relationship between provision models of nursing care and patient experience.

Healthcare services' users appreciate service delivery characteristics identified with “be cared by,” or in other words with having a reference nurse.

Nursing models' features that relate to the organizations and that providers tend to judge as professionalizing and evolutive, such as team working, appear not key in relation to patient experience.

Pure models of service delivery are theoretically useful, but hybrid models can better meet users' expectations.

Forensic mental health programs (FMHPs) in Ontario, Canada provide rehabilitation and supervision services. However, models available to guide their delivery are primarily adapted from fields outside of forensic mental health. To partially fill this gap, this paper aims to provide a general review of the process a multi-professional team took to develop the Integrated Forensic Program [IFP]-Ottawa Model of Risk Management & Recovery.

Working groups were initiated to identify the needs of patients in their local setting, conduct a literature review on care delivery models in forensic mental health and build a service delivery model specific to forensic mental health.

The resulting model places patient engagement at its centre and encompasses eight domains of need that contribute towards the patient’s recovery and the management of the safety risk they pose to the public, namely, the basic needs, diversity and spirituality, social, occupational, psychological, substance use, physical health and mental health domains.

The IFP-Ottawa Model of Risk Management & Recovery provides a framework to which therapeutic group services for persons in FMHPs can be aligned.

The leadership teams in FMHPs could use this framework and the method used for its development to ensure group services provided at their FMHPs are evidence-informed and coincide with their patients’ specific needs.

This research aims to explore the interactions of stakeholders in online food delivery (OFD) platforms, including restaurants, the delivery system and the platform, and the effect on total sales. In order to comprehensively analyze the service of stakeholders, the authors adopted the time duration which provides a unified metric for assessing service performance.

The authors used panel vector autoregressive (PVAR) model analysis to verify the interactions among restaurants, the delivery system, and the platform itself, and to assess their effects on the sales. Data were collected from one of the biggest OFD service platforms in China – Eleme.com.

First, the findings confirmed that the service performance of restaurants, the delivery system and the platform itself influence one another. There is a bidirectional causality between food preparation time (FPT) and actual delivery time (ACDT), as well as between FPT and advance arrival time (ADAT), ACDT and ADAT. Second, the service performance of restaurants, the delivery system, and the platform itself all positively affect sales, thus demonstrating unidirectional causality.

The current research is a pioneering empirical study, as it confirms the dynamic interactions between participants in OFD platforms and the dynamic influence of their respective service performances on sales. The findings of this research have a number of implications for the management and operation of online food ordering and delivery platforms.

This paper aims to propose a new theoretical perspective on the organizational design of offshoring service organizations by adopting an information processing perspective which incorporates the factors of collaborative information technologies, task commoditization and global customer service delivery that are characteristic of modern-day knowledge-intensive service (KIS) organizations.

The authors analyze data from a large multiyear survey of offshoring service providers conducted in 12 countries.

The authors show how use of collaborative technology is significantly and positively related to spatial and configurational dispersion, task commoditization is significantly and positively related to spatial and temporal dispersion and need for global customer presence is not related to spatial, temporal or configurational dispersion.

The paper integrates concepts from management information system (MIS), operations management and international business to show how collaborative technology, task characteristics and customer service requirements affect the global dispersion of KISs.

The results show how use of collaborative technology, task characteristics and global customer service requirements need to be jointly considered in the global dispersion of activities by KIS providers.

The study sheds light on the effect of the key factors on different dimensions of global dispersion (i.e. spatial/temporal/configurational dispersion) in offshoring service provider organizations. Second, it shows how the traditional information processing perspective on organizations can be updated and applied to KIS organizations by incorporating the factors of global collaborative information technologies, task commoditization and global customer service.

The confirmation of receipt of orders by consumers means that the online retailer actually receives the payments on many retail platforms (e.g. Taobao). In order to recoup funds as soon as possible, the retailer will take steps (e.g. improving the level of delivery and adopting a rebate policy) to encourage consumers to confirm receipt earlier. It is significant for the retailer to identify an appropriate strategy and determine the optimal product price. To address the above issues, this paper examines and compares the pricing strategies and profits under different strategies to show some managerial insights for the retailer's decision-making.

In this paper, the authors discuss four models, i.e. adopting common delivery and offering consumers no rebates, adopting common delivery and offering rebates, adopting fast delivery and offering no rebates and adopting fast delivery and offering rebates, which the retailer may consider. Under different models, consumer utility and firm's profit structure are disparate. After comparing the retailer's profits under four models, the optimal strategy, profit and product price are obtained.

Some interesting results are as follows. When the cost of fast delivery is not very high, improving the level of delivery would bring more profit to the retailer and create a positive impact on consumers. Interestingly, our results also show that offering proper rebates to stimulate consumers to confirm receipt early only serves to improve the profit only when the motivation of consumers to confirm the receipt is very low. Moreover, the authors find that a higher level of delivery services can promote the implementation of the rebate policy to improve the retailer's earnings.

This paper is the first study on the transaction mode of retail platforms and the problem of confirming receipt by a model-based method.

Informed by the role and script theory, this paper aims to explore workforce and customer experiences related to service delivery under the sharing economy. The study is expedient as the sharing economy spreads its disruptive innovation across the hospitality industry.

This paper applies a qualitative approach, sourcing online data from virtual platforms.

The results indicate both positive and negative experiences for customers and the workforce, and the paper highlights the challenges of fragmented service delivery as a result of service delivery mediated through mobile applications.

Food delivery mediated through mobile applications is likely to expand as more households are lured by its convenience. This change has implications for both restaurants and the workforce.

Although a growing number of studies analyse the impact of the sharing economy on the hospitality industry, much of the focus has been on accommodation, and the impact and implications for the food-service segment has not been thoroughly investigated yet.

This study aims to offer an overview of the models of clinical care of the patients with dual disorders in India.

All the members of the Dual Diagnosis India Network (DDIN) who shared the clinical care delivery at their center were invited to share the details of their model. In addition, an invite was also sent to those members who could not attend the online session but were interested in contributing the required information about their model. The information shared by the respondents was collated. The different models were then categorized based on their features.

Following the categorization of the clinical care services organization across different settings, five different models emerged. These were specialized dual diagnosis clinic; services for dual disorders offered as substance use disorder (SUD) treatment services within general psychiatry care; services for dual disorders in general psychiatry care; services for dual disorders offered as SUD treatment services separated from general psychiatry care; and services for dual disorders offered in general psychiatry services combined with exclusive SUD treatment services.

Currently, there is limited literature on models of dual disorders from the low- and middle-income countries. The authors believe that the documentation of these models from India shall be of help while setting up services for dual disorders in other health-care settings. This study can be a valuable resource for making informed choices while setting up new services.

The automotive industry has been studied extensively, but few studies focus on outbound logistics in automotive supply chains, or on the logistics service provider’s (LSP’s) point of view. Furthermore, there is hardly any research on service model innovation in LSPs. The purpose of this paper is to narrow these research gaps.

The analysis is based on a single-case study – an LSP that specializes in services for the automotive industry. The paper examines the company’s service models and their development over time.

The findings show how the case company has moved towards multifaceted service models through a number of radical and incremental innovations. Moreover, it has used the same methods in developing all its new service models, and has applied modularity principles in service innovation to achieve better process efficiency and service effectiveness.

The rather narrow focus of this study – automotive logistics in a specific area – decreases the generalizability of the findings beyond this context. However, the single-case approach offers in-depth insights, and the analytical frameworks developed herein for service models is applicable in other contexts.

The analysis may help LSPs and service companies in their service design and development. The use of modularity principles makes it easier to offer mass-customized services and to develop efficient processes.

This study narrows a research gap in examining outbound logistics services in the automotive supply chain and focussing on the LSP’s perspective.

By applying Kano model, this study attempts to investigate the categorization of home delivery quality elements derived from service convenience model and their impact on customer satisfaction.

In this paper, the research framework and hypotheses are constructed through a literature review. Kano model is applied to classify the home delivery service elements into five quality attributes and gender is included to understand the difference of customer perception on the obtained quality elements. Statistical analyses of the collected questionnaires were computed based on the 476 effective responses regarding the home delivery service.

The results confirm that customers' perception of home delivery service elements are classified into one‐dimensional and must‐be attributes by Kano model, while this study contributes to the creation of attractive elements that significantly affect the customer satisfaction and owning an enormous potential to further differentiate competitors. Customer satisfaction is positively correlated with different types of service convenience. It also suggests that the customers with different gender have significantly different views to quality elements of home delivery service.

The major contribution of this study is that it attempts to examine the categorization of home delivery quality elements derived from service convenience model and their impact on customer satisfaction.