PurposeThis study aims to examine how servitization affects the environmental and social performance of manufacturing firms.Design/methodology/approachThe hypotheses are tested using fixed-effect panel models based on secondary data of 1,413 manufacturing firms publicly listed in the USA.FindingsResults show that servitization is positively related to the social performance of manufacturing firms; this positive relationship is more prominent under high levels of human resource slack. However, the impact of servitization on environmental performance depends on the level of absorptive capacity and human resource slack. Servitization improves environmental performance under high levels of absorptive capacity and human resource slack, while this positive impact is insignificant under low levels of absorptive capacity and human resource slack.Research limitations/implicationsThe study focuses on the degree (depth) of servitization but ignores the scope of services provided by manufacturing firms (breadth of servitization).Practical implicationsThis research suggests that servitization is an effective way of achieving simultaneous improvements in environmental and social performance. However, high levels of absorptive capacity and human resource slack are needed to achieve this goal.Originality/valueThis study contributes to the servitization literature by demonstrating the environmental and social sustainability benefits of servitization. The findings also highlight the crucial role of absorptive capacity and human resource slack on improving environmental and social performance through servitization.
For healthcare manufacturing firms, creating a crisis-prepared product and service portfolio and operational processes is essential for their long-term prosperity. In this paper, we examine how healthcare manufacturing firms cope with the operational disruptions and opportunities associated with the COVID-19 pandemic. We highlight the central role of organizational resilience and examine whether servitization and digitalization can improve the organizational resilience of healthcare manufacturing firms. On the basis of the organizational information processing theory, we suggest that servitization and digitalization can improve the stability and flexibility of operations, which make healthcare manufacturing firms more resilient to the COVID-19 pandemic. The hypotheses were tested using survey data from 163 manufacturing firms located in China. The results indicate that both servitization and digitalization improve the organizational resilience of healthcare manufacturing firms, leading to higher firm growth during the COVID-19 pandemic. Moreover, organizational resilience mediates the impacts of servitization and digitalization on firm growth. Environmental dynamism strengthens the relationship between digitalization and organizational resilience. This study offers new insights for healthcare manufacturing firms to prepare for crisis events and achieve sustainable development in a highly competitive environment.
Collaborative innovation networks have the basic attributes of complex networks. The interaction of innovation network members has promoted the development of collaborative innovation networks. Using the game-based theory in the B-A scale-free network context, this paper builds an evolutionary game model of network members and explores the emergence mechanism from collaborative innovation behavior to the macroevolution of networks. The results show that revenue distribution, compensation of the betrayer, government subsidies, and supervision have positively contributed to the continued stability of collaborative innovation networks. However, the effect mechanisms are dissimilar for networks of different scales. In small networks, the rationality of the revenue distribution among members that have similar strengths should receive more attention, and the government should implement medium-intensity supervision measures. In large networks, however, compensation of the betrayer should be attached greater importance to, and financial support from the government can promote stable evolution more effectively.Collaborative innovation networks are the main topic in this paper. After reviewing some recent research, we found that the main fields of related work focused on the characteristics of the collaborative networks members (micro), the evolution processes of the networks (macro), and the networks' collaborative performance. We report some of our findings below.In terms of the works on members of in collaborative innovation networks, social network analysis is the main method to study the characteristics of network nodes and the relationships between them. Landart et al. found that innovation networks that are well managed can providemany benefits to enterprises [9]. Dhanaraj studied the activity and openness of network nodes and found that the core members of innovation networks can coordinate overall network actions to achieve the effects of collaborative innovation [10]. Tsai pointed out that if enterprises occupy the center of the networks, they can generate more innovations. Tseng analyzed centrality and density of firms in the innovation networks, and found that the higher centrality and higher density, the stronger innovation capability [11].The research on the evolution of innovative networks mainly focuses on network topology and its influencing factors. Woo found that the connection mechanism has a great impact on network evolution using social network analysis to study the dynamic evolution of high-tech innovation networks [12]. Fleming analyzed the impacts of core firms on the evolution of innovation networks and thought that core innovation network members are important factors that drive the network to centralize [13]. Lazzeretti investigated the impact of neighborhood on innovation network dynamics [14]. Liang explored the evolution of collaboration network within government sponsored and found that network structure and composition should be involved into the specific policies [15].In terms of collabora...
In order to promote the overall innovation efficiency and running effect of the equipment manufacturing industry effectively which we focus on cultivating and developing strategic in China, overall innovation efficiency and running effect of sampling data is completely evaluated and analyzed by establishing the data analysis of the DEA model and using the Malmquist index analysis method based on the representative data samples of some equipment manufacturing industries in Heilongjiang province in China in 2003-2012.Analysis result shows the overall innovation efficiency characteristics of the equipment manufacturing industry in Heilongjiang province, illustrates the related factors which influence the improvement of the innovation ability and incensement of its growth rate of the equipment manufacturing industry in Heilongjiang province. The study provides the necessary theoretical basis for clarifying the development state of equipment manufacturing industry in Heilongjiang province, points out the strategic development of the development of equipment manufacturing industry and the development direction of overall innovation.
The servitization of construction enterprises based on value chain integration means that construction enterprises use prefabricated buildings and combine advantageous resources to integrate preconstruction feasibility analysis, investment and financing services, design, etc., and postconstruction decoration, operation and maintenance, and waste disposal. This article takes the equipment-manufacturing industry as the research object, and based on the analysis of the service-based value chain integration process, it puts forward research hypotheses, constructs research models, and conducts data simulation research to explore how the equipment-manufacturing industry can realize the logic of industrial value through service reintegration and optimization reveal the changing laws and key influencing factors of the equipment-manufacturing industry’s value-added capabilities during this process. The results show that the industrial connection density, service element embedding methods, and knowledge absorption capacity have a significant impact on the value-added ability of the equipment-manufacturing industry during the integration process. The increase in industrial connection density promotes the enhancement of value-added capabilities, and it is significant at the initial stage and then weakened. Both the input-side and output-side service element embedding can affect the value-added ability, but the effects of the two are different. The improvement of knowledge absorptive capacity can promote the occurrence of service innovation, thereby enhancing the value-added capacity of the equipment-manufacturing industry.
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