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This research aims to specialise in the investigation of risk management for service-oriented manufacturing supply chains via two stages, highlighting its differences from manufacturing. The research article is commenced by executing an encyclopedic review of earlier research to ascertain the distinctive traits of service-oriented manufacturing supply chains and identify prevalent risks. Secondly, an empirical study in the construction field, amongst the industry hardest struck in the mist of the COVID-19 epidemic, is conducted to thoroughly inspect the resonant effect of these risks on service-oriented manufacturing supply chain performance.

In this study, to validate the resonant effect mechanism, a thorough assessment is undertaken by juxtaposing theoretical model to a newly constructed comparative model that encompasses the single effects of risks on supply chain performance.

63% variance of service-oriented manufacturing supply chain performance was showcased by the resonant effect model, compared with 46.3% in the comparative model. Moreover, each risk exerts a more glaringly significant impact on supply chain performance, asserting the mechanism of the resonant influence. Another noteworthy result involves the demand risk possessing a low effect on supply chain performance, thus emphasising the superiority of service-oriented manufacturing supply chains.

Future research endeavours should hinge on the optimal “resonant” model explosion, thereby foreseeing and alleviating worst-case scenarios to guarantee the robustness and resilience of supply chain networks.

Indubitably, reducing the intensity of the resonant effect revolves around lowering the coefficient of “a,” thereby restricting/eliminating the link among risks. Therefore, the suggested resonant impact model might thus serve as “a road map”. In light of the aforementioned considerations, it is advisable that supply chain executives employ supply chain management tactics namely avoidance, prediction, and postponement, but only after meticulous consideration the costs and benefits of adopting such strategies.

The service-oriented manufacturing supply chain features and advantages have been analysed and explained throughout the article. The data gathered during the COVID-19 pandemic is a captivating and topical point of this paper.

A risk, when it occurs, causes negative effects on outputs. Typically, risks are not independent as multiple risks occur simultaneously. The purpose of this paper is to compare the impact various risks have on the performance of manufacturing-oriented and service-oriented firms from a supply chain (SC) perspective.

First, SC risks were identified and classified into two criteria: context and probability. Then, the different characteristics between manufacturing- and service-oriented firms were distinguished by the theory of goods-dominant logic (GDL) and service-dominant logic (SDL). Structural equations modeling and multiple-group analysis were then used to validate research hypotheses and compare the two groups.

The empirical evidence, gathered from the Vietnamese construction sector, indicated that in a serious situation all of the five risks proposed occur at the same time, thus the remarkable 87.1% variance in SC performance was explained. Furthermore, this rate is significant when the two groups are compared: manufacturing-oriented firms (88.3 percent) and service-oriented firms (85.6 percent), implying that risks in the manufacturing-oriented group have a greater effect on SC performance. While manufacturing-oriented companies should pay close attention to the operational and demand risks that adversely affect SC performance, they should treat information risk as an opportunity to improve. Service-oriented companies, however, need to manage supply risk which, in their case, can be attributed to a 51.2 percent variance in SC performance. Moreover, service quality can also be improved remarkably if information risk is well managed.

This study provides a detailed picture of the relationship between risks and performance in the SC. Risks are illustrated as affecting the SC performance simultaneously, (not separately) and so the approach outlined here will give firms a comprehensive view of their SCs and provide guidelines for predicting the impact risks will have on the SC performance. Moreover, by comparing manufacturing- and service-oriented firms, a thorough overview of risk behaviors is provided and appropriate solutions for each type of company can be determined.

The “novelty of approach” of this study is in applying GDL and SDL theory to classify the manufacturing-oriented and service-oriented firms. The different characteristics between the two groups are identified and explained in terms of resources, value, network, effectiveness vs efficiency and communication, thus providing an insight into risk management activities in the SC network.

There are two purposes in this paper. The first one is to explore the impact mechanisms and paths of service-oriented manufacturing (SOM) on the sustainability performance of green manufacturing firms and to pay particular attention to the mediating role of enterprise costs in the relationship between the two. The second one is to reveal the dynamic process and laws of SOM influencing on the sustainability performance of green manufacturing enterprises.

This paper employs a combination of dynamic and static research from two aspects. On the one hand, based on 495 green manufacturing firms in China, the authors verify the SEM of SOM, enterprise cost and sustainability performance of green manufacturing firms through empirical research, analyze the path relationship and mediation effect, and demonstrate its complex impact mechanism. On the other hand, the authors use agent-based modeling and simulation to reveal the dynamic influence of SOM on the sustainability performance of green manufacturing enterprises and explore its dynamic laws and future development trends.

The study results indicate that (1) SOM has a direct positive effect on firm sustainability performance. (2) Reducing firm costs has a positive effect on firm sustainability performance, and firm costs play a partial mediating role in the mechanism by which SOM influences firm sustainability performance. (3) The dynamic impact of SOM on sustainability performance increases significantly over time. (4) Significant firm heterogeneity exists in the process by which SOM improves sustainability performance. (5) There are differences in the promotion of SOM for economic performance, environmental performance and social performance.

This paper makes two main contributions. First, compared with previous research on sustainability performance focusing on a certain dimension, this paper organically integrates the three dimensions of sustainability performance, regards them as a whole and considers the paths to improve sustainability performance. Second, this paper focuses on the complex relationship among SOM, enterprise costs and sustainability performance and reveals different sustainability performance improvement paths and dynamic impact processes, thereby expanding and deepening previous research on sustainability on the subject. These contributions lead to a better understanding of the driving forces and realization path for green manufacturing firms' sustainability performance from an integrated static and dynamic perspective.

Argues that a cognitive bias is found in the language used to describe services, since services are defined in relation to manufacturing. Proposes that services should be accurately described as they are very different from manufactured goods. Considers service from an alternative viewpoint, highlighting this perspective′s implications for marketing thought. Draws attention to practical implications with regard to the marketing mix.

The increase in demand variability created by manufacturing enterprises presents new challenges for increasing resource usage and sharing flexibility. For this reason, it is of great importance to research manufacturing grids and their service modes. The purpose of this paper is to establish a systematic strategy and a system tool for manufacturing grid systems.

A manufacturing service oriented manufacturing grid (MSoMG) system is presented with open grid service architecture as the system architecture and GT3.9 as a development tool. A framework is proposed to support MSoMG by providing advisory tools and methods for uncertain information analysis and processing, multi-objective decision making of manufacturing grid service execution, manufacturing grid service performance prediction based on knowledge template, and flexible manufacturing grid service scheduling and solution. The methodology of the adopted rough set is discussed in detail. Finally, the design support strategies for MSoMG are investigated to guide the coordination of manufacturing activities.

Many conventional methods and models become very limited for manufacturing grid service with uncertain information. The processing of uncertain information and reasonable application flow can help to improve the completion rate and reliability of manufacturing grid services.

This research provides a solid foundation for manufacturing gird operations and can promote the use of a manufacturing grid mode.

A MSoMG system is presented. The manufacturing grid service with uncertain information is considered as well as design support strategies.

The purpose of this paper is to theoretically and empirically analyze the impact of the types of micro-innovation on innovation performance and the choice of micro-innovation strategies in different contexts on the basis of an examination of the basis and standards of micro-innovation categorization.

The authors collected and analyzed 206 survey samples from the Zhejiang Province in China; there were 68, 63 and 75 enterprises at inception, high growth and maturity stages, respectively, and there were, in total, 53, 90 and 63 low-tech manufacturing small and medium enterprises (SMEs), technology-intensive manufacturing SMEs and service-oriented SMEs, respectively. Multiple regression analysis was used to test the hypotheses.

The analysis results suggest that SMEs at the embryonic stage should choose strategies of imitative innovation, whereas SMEs at growth stage should use continued micro-innovation and independent micro-innovation as the optimal choices; it is better for the SMEs at the mature stage to resort to independent micro-innovation. Low-tech manufacturing SMEs should opt for the continued micro-innovation strategy, and technology-intensive manufacturing SMEs should adopt independent micro-innovation, whereas service-oriented SMEs should choose both continued and independent micro-innovation strategies.

This study sets up a classification framework of micro-innovation and addresses its category and sources, thus extending the micro-innovation research results. The conclusion also supports and enriches the view of open innovation in the innovation theory. Hidden behind the phenomenon that internal and external factors play vital roles, it is a basic rule that innovation activities must be subject to various related factors.

Cloud manufacturing (CMfg) is a networked manufacturing mode that promotes the agile, service-oriented, green and intelligent development of the manufacturing industry. Although some scholars have reviewed related studies of CMfg from multiple perspectives, these reviews are not fully systematic or well justified and fail to fully reveal the key characteristics in the development process of CMfg. The purpose of this paper is to systematically review the relevant research on CMfg via identification of key characteristics of definition, architecture, supporting technology and application of CMfg to provide critical information in decision support for the innovation and development of CMfg.

This study systematically reviews the relevant research on CMfg across theoretical methods to technical applications by integrating quantitative and qualitative methods. Word cloud method is used to quantitatively analyse the structure and feature of different definitions of CMfg. The principle of System Science is used to explore the basic components and functions of various CMfg architectures and their common and differing characteristics. A multi-level technology framework is developed to explore the development status of CMfg supporting technologies. A multi-stage application classification is proposed to reveal the application status of CMfg.

Through literature review, this study found that CMfg architecture is currently dominated by general architectures and lacks architectures that fit the actual enterprise characteristics; CMfg supporting technology is mature in the traditional cloud computing-based technology, but it is still weak in the development of virtualization and servitization technology, service scheduling technology; CMfg application is still in the initial stage and still lacks a relatively complete system application. By analysing the development status of CMfg, this study also identified potential research directions of CMfg in information management, service composition and evaluation, system application and sustainable development and other aspects.

This paper predominantly focuses on journal articles and some key conference papers published in English and Chinese. Chinese articles account for more than half of the total. The reason is that CMfg was proposed by the Chinese and CMfg is suitable for the development of China's manufacturing industry because of China's intelligent manufacturing environment. It is believed that this research has reached a reliable comprehensiveness that can help scholars and practitioners establish new research directions and evaluate their work in CMfg.

Prior literature reviews ignore the identification and analysis of key feature identification for the current development of CMfg, including common and unique feature identification of different CMfg architectures and functions, multi-layer analysis and interpretation of CMfg technology and different stage analysis of CMfg applications. This study addresses these limitations and provides a comprehensive literature review.

The purpose of this paper is to examine the push effect of risk on supply chain (SC) performance, a new concept in the SC risk body of literature, at service-oriented firms.

Two models were compared: first, contains relationships between risks that show the mechanism of the push effect, i.e. the theoretical model. The other, only exists in direct effects of risks on SC performance, i.e. the competitive model.

Test results proved that the mechanism of the push effect can increase the degree of impact of each and all risks on outputs. By the push effect, risks can explain up to 65 percent variance of SC performance compared with 52 percent of the model without push effect. Moreover, the research found two kinds of the push effect: positive – increasing the impact of “pushed” factors on outputs and vice versa for negative.

The mechanism of the push influence will be broken if mutual interaction among risks was minimized. Practitioners and managers can apply the resultant model as a “road map” in their context to achieve this purpose.

Vargo and Lusch (2008) argued that service-oriented firms will be a new trend since the modern-day industry tends to more focus on customer demand. SC management gradually shifted toward demand chain management that organizations will not make and sell units of output but producing customized services to customers (Walters, 2008). This transformation has led to the emergence of new risks, the impact of risk on the SC also varies and the mismatch of the current risk mitigation strategies (Lusch et al., 2007). Dealing with these changes is the purpose of this research.

The purpose of this paper is to explore the antecedents of demand-side search in service strategy of manufacturing firms. In particular, this study examines whether service-oriented human resource management (HRM) practices promote demand-side search by enhancing firms’ market capability as well as how top management service commitment and service organizing moderates this relationship in manufacturing firms.

To test this research model, this study obtains survey data from two distinct informants of 279 manufacturing firms in China. Data were collected applying a standard questionnaire in a five-point Likert scale. The hypotheses are tested using hierarchical regression analysis and partial least squares.

Results show that service-oriented HRM practices can promote demand-side search by enhancing firms’ market capability. Furthermore, it is found that top management service commitment negatively moderates the relationship between service-orientated HRM practices and demand-side search, while service organizing positively moderates this relationship.

Depending on cross-sectional subjective data for the core variables and the choice of Chinese manufacturing firms limit the capacity to generalize the findings.

This research suggests that service-oriented HRM practices are important drivers of demand-side search activities and to take advantage of service-oriented HRM practices, firms should commit to market capability development. In addition, it is better to match service-oriented HRM practices with other service-oriented organizational parameters such as top management service commitment and service organizing.

The study highlights the crucial role of service-oriented HRM practices in demand-side search, the mediating role of market capability and the moderating role of other service-oriented organizational parameters such as top management service commitment and service organizing. This study advances research on knowledge search, servitization and strategic HRM.

Cloud manufacturing (CMfg) has emerged as a service-oriented paradigm that enables modularization and on-demand servitization of resources in the context of manufacturing. The plethora of studies on CMfg has led the authors to investigate its implementation, as most of the literature is theoretical or simulation-based. Therefore, the purpose of this study is to investigate the reality of the CMfg concept in terms of adoption.

A tri-theoretic model is developed using the technology adoption model, diffusion of innovation and technology-organization-environment for hypotheses development. Data are collected from 218 US manufacturers. The data analysis approaches are partial least squares structural equation modeling, while data visualization is done to further analysis.

The study shows that most of the US manufacturers are reluctant to adopt the CMfg. Further, the statistical findings imply that competitive pressure, top management support, compatibility and trialability play a vital role in its adoption. The success of the CMfg adoption relies on the implementation of the pre-installation stage and the top management decisions.

For practitioners, the study provides insight on how to supervise the CMfg platform implementation to improve the adoption process. For researchers and academicians, the significance of trialability provides a wide range of research topics on developing the CMfg trials and models.

This paper highlights the concerns of manufacturers about the pros and cons of the CMfg adoption, as this topic has not been given due attention in the literature. This will help to align future research directions according to market concerns and mitigating the factors that are hindering its adoption.