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A service production system has a structure composed of task execution, agents performing tasks and a resulting service output. The purpose of this paper is to understand how such a service production system changes as a consequence of offshoring.

Drawing on practice theory, the paper investigates how offshoring leads to reconfiguration of the service production system. Through a multiple case methodology, the authors demonstrate how agents and structures interact during reconfiguration.

The paper analyses the reconfiguration of components of a service production system in response to change ignited by offshoring. The authors find recurring effects between structures that enable and constrain agents and agents who shape the structure of the production system.

The paper offers a novel contribution to the service operations management literature by applying practice theory. Moreover, the authors propose a detailed, activity-driven view of service production systems and service offshoring. The authors contribute to practice theory by extending its domain to operations management.

Service production systems have the ability to self-correct any changes inflicted through offshoring of the systems, which helps firms that offshore.

The paper is aimed at service professionals and offshoring managers and proposes a novel presentation of the service production system with a description of how it responds to offshoring. The authors contribute to theory by applying practice theory to the fields of service operations management and offshoring.

The increasing demands for customized services and frequent market variations have posed challenges to managing and controlling the manufacturing processes. Despite the developments in literature in this area, less consideration has been devoted to the growth of business social networks, cloud computing, industrial Internet of things and intelligent production systems. This study recognizes the primary factors and their implications for intelligent production systems' success. In summary, the role of cloud computing, business social network and the industrial Internet of things on intelligent production systems success has been tested.

Intelligent production systems are manufacturing systems capable of integrating the abilities of humans, machines and processes to lead the desired manufacturing goals. Therefore, identifying the factors affecting the success of the implementation of these systems is necessary and vital. On the other hand, cloud computing and the industrial Internet of things have been highly investigated and employed in several domains lately. Therefore, the impact of these two factors on the success of implementing intelligent production systems is examined. The study is descriptive, original and survey-based, depending on the nature of the application, its target and the data collection method. Also, the introduced model and the information collected were analyzed using SMART PLS. Validity has been investigated through AVE and divergent validity. The reliability of the study has been checked out through Cronbach alpha and composite reliability obtained at the standard level for the variables. In addition, the hypotheses were measured by the path coefficients and R², T-Value and GOF.

The study identified three variables and 19 sub-indicators from the literature associated that impact improved smart production systems. The results showed that the proposed model could describe 69.5% of the intelligence production systems' success variance. The results indicated that business social networks, cloud computing and the industrial Internet of things affect intelligent production systems. They can provide a novel procedure for intelligent comprehensions and connections, on-demand utilization and effective resource sharing.

Study limitations are as below. First, this study ignores the interrelationships among the success of cloud computing, business social networks, Internet of things and smart production systems. Future studies can consider it. Second, we only focused on three variables. Future investigations may focus on other variables subjected to the contexts. Ultimately, there are fewer experimental investigations on the impact of underlying business social networks, cloud computing and the Internet of things on intelligent production systems' success.

The research and analysis outcomes are considered from various perspectives on the capacity of the new elements of Industry 4.0 for the manufacturing sector. It proposes a model for the integration of these elements. Also, original and appropriate guidelines are given for intelligent production systems investigators and professionals' designers in industry domains.

The present study discusses the benefits and importance of sociotechnical thinking for the integration of industry 4.0 (I4.0), and their subsequent usefulness in analyzing the value-added activities and related quality issues, and their implications in the quality 4.0 (Q4.0), product-service systems (PSS) in the organization level/complex systems in the era of I4.0. I4.0 pushed the traditional manufacturing models toward product-service systems; for this transition, social and economic factors influence more, and technological advancements are going more rapidly than the social developments needed for the transition. The integration of social-technical system perspective with I4.0 technologies adoption would improve the value cocreation of PSS. The balance among the sociotechnical systems theory (STST) and I4.0 technologies are necessary for production and logistics organizations. This can be attained by sociotechnical systems thinking because it gives a comprehensive overview for integrating I4.0 and related quality issues in the production and logistics service systems.

The purpose of this paper is to analyse the mutual learning implications for service productivity of the characteristics of service and service production.

This is a conceptual paper. The starting point is, first of all, that productivity as a management concept should help a firm to manage its economic profit, and secondly, that service organizations are open systems, where the customers participate as co-producers and are exposed to the firm’s production resources and processes. Unlike in manufacturing, to understand productivity in service organizations as a means of managing profit, cost effects and revenue effects of changes in the productions system cannot be separated. Due to the interaction between customers and the firm’s resources during service production, dialogical collaboration between them develops. This enables mutual learning.

Given the social dynamics in service production processes, four learning processes that influence service productivity are identified. Two processes enhance the organizations’s internal efficiency (cost savings), and two enhance its external effectiveness (perceived quality, revenue generation); two are organization-driven, two are customer-driven.

The mutual learning model demonstrates how the service provider by learning from the dynamics of service encounters in many ways can manage the productivity of the organizations’s processes. It shows that learning enables improvement of service productivity through effects enhancing both internal efficiency and external effectiveness.

In a productivity context, learning has not earlier been studied as a mutual learning phenomenon.

Modularity promises to relieve problems of complexity in service systems. However, limited evidence exists of its application in specialized hospital services. The purpose of this paper is to identify enablers, constraints, and outcomes of modularization in specialized hospital services.

A qualitative comparative study of a hematology unit with modular service architecture and an oncology unit with integral service architecture in a university hospital is performed to analyze the service architectures, enablers and constraints of modularization, and outcomes.

A framework and five propositions combining the characteristics of specialized hospital services, enabling activities, and outcomes of modularization were developed. Modular service architecture was developed through limiting the number of treatment components, reorganizing production of standardized components into a separate service unit, and standardizing communication and scheduling in interfaces. Modularization increased service efficiency but diluted ownership of services, decreased customization, and diminished informal communication. This is explained by the specific characteristics of the services: fragmented service delivery, professional autonomy, hierarchy, information asymmetry, and requirement to treat all.

Modularization can increase efficiency in specialized hospital services. However, specific characteristics of specialized care may challenge its application and limit its outcomes.

The study identifies enabling activities and constraints that hospital managers should take into account when developing modular service systems.

This is the first empirical study exploring the enablers, constraints, and outcomes of modularization in specialized hospital services. The study complements literature on service modularity with reference to specialized hospital services.

There are large differences in both speed and costs between the traffic modes road and air. Rail has not yet successfully offered services “faster than road but cheaper than air”, although there are technical, logistical and economical opportunities for competing with air for intra‐continental shipments and co‐operate for intercontinental ones. The article categorises segments of the European express freight market and analyses them in a rail perspective. Services between Sweden and Continental Europe and domestically in Sweden are focused. System modelling tools are also adapted to the application of express intermodal transport and prospective roles for rail in express transport are defined. The analysis shows that a transport chain with many actors and long distances does not necessarily entail longer transport times than a short‐distance with the same circumstances under a single management. The analysis also shows that many express transport systems are built in a modular way, implying that subsystems can be exchanged.

The rapid growth in volume and value of on-demand restaurant food delivery, accelerated by the COVID-19 pandemic, is causing a paradigm shift in the food service sector. However, there is a lack of hospitality management research into this emerging phenomenon. To address this gap, this paper defines and develops a novel conceptual model and typology and proposes a research agenda for ghost production in the context of food service.

This paper uses the Servuction model to explore, define and model the radical separation between food service production sites, points of sale and consumer interaction from the perspective of on-demand restaurant food delivery. A novel typology is developed and illustrated with eight industry examples from the UK and an accompanying cost benefit analysis. Future research priorities are identified.

In the hospitality literature, little attention has been paid to changes on-demand restaurant food delivery brings to production and business models of food service organisations, resulting in significant gaps between food service practice and theory. The knock-on effects to stakeholders include increased convenience for customers, uncertain employment status of riders and, for restaurants, striking a balance between capturing new markets and losing control of the customer. Additionally, for aggregators, there is a lack of profitability in existing models, despite holding the balance of power (and data).

The concept of “ghost production” and its associated typology is novel and offers a contribution to hospitality management literature by defining the term, scope and scale of this new phenomenon. Practical implications are proposed.

The purpose of this paper is to apply value stream mapping holistically to hospital food production/service systems focused on high-quality food.

Multiple embedded case study of three (two private-sector and one public-sector) hospitals in the UK.

The results indicated various issues affecting hospital food production including: the menu and nutritional considerations; food procurement; food production; foodservice; patient perceptions/expectations.

Value stream mapping is a new approach for food production systems in UK hospitals whether private or public hospitals.

The paper identifies opportunities for enhancing hospital food production systems.

The paper provides a theoretical basis for process enhancement of hospital food production and the provision of high-quality hospital food.

Initially, development of theory and processes for the evaluation of service quality lagged behind that for evaluating product quality. Even now, service quality measurement is beset by several problems. Describes some of the difficulties in evaluating service quality and presents a framework for evaluating it which uses a general systems theory approach. Suggests that, to understand consumers′ views of the quality level in the firm, service managers should consider perceptions of service inputs and the service process as well as perceptions of service outcomes. Presents the results of two studies involving six types of service in support of the framework. Discusses recommendations for the implementation of a systems outlook and its implications for services marketers.

Taking Huangshan City as an example, the purpose of this paper is to explore the relationship between gross products of agriculture (GPA), its main composition as well as their influential intermediate inputs, followed by some suggestion, in order to optimize agricultural industrial structure and distribute the ratio of various inputs in agriculture, farming, forestry, animal husbandry and fishery, so as to improve GPA of Huangshan City.

This paper is characterized by an exploratory research by using the grey incidence analysis based on the grey systems theory initiated by Chinese professor Julong Deng. The original data processed in the model are quoted from the Statistical Yearbook of Huangshan City.

This paper draws some important conclusions. First, in terms of large, intermediate inputs in animal husbandry production and fishery production are two important aspects which affect the growth potentiality of agricultural gross products in Huangshan City. This also reflects that the development potentialities of fishery and animal husbandry are larger. Second, the level of agricultural modernization is relatively low in Huangshan City, the growth of agricultural output relies on a large number of inputs such as fertilizers, pesticides, but it also reflects the agriculture production system has huge potentiality to increase in Huangshan City from the side. Third, agriculture producer services as a whole is still relatively weak in Huangshan City. It is difficult to adapt to the development of modern agriculture and agricultural modernization. Finally, the results show that intermediate inputs have different influence on farming, forestry, animal husbandry and fishery.

Suggestion are also proposed to the related policy makers as follows: to vigorously develop animal husbandry and fishery in order to optimize agricultural industrial structure of Huangshan City, to improve agricultural modernization level, to speed up the service support system construction of agriculture production, to optimize the allocation of inputs in farming, forestry, animal husbandry and fishery reasonably.