Considering the cutthroat competition in IT organizations, public and state-based organizations are trying to develop strategies to promote innovation in the organizations. However, due to monopolistic structure, employee rigidness, and lack of innovation climate, employees are reluctant to perform innovatively in such organizations. New HRM practices (NHRM) can enrich the talented, motivated, committed, and innovative staff to enhance innovation. However, empirical evidence to prove this relationship is insufficient. Therefore, this study aims to analyze the effect of NHRM practices on innovation performance with the mediating role of organizational innovation and the moderating role of the innovation climate. Data collected from semi-government IT-based organizations provide results that there is a significant positive relationship between NHRM practices and innovation performance. The mediating role of organizational innovation was also found. Moreover, the results of the moderated-mediation show that the mediating role of organizational innovation is also strong if the organizational climate is more innovative. These results provide managerial guidelines to promote NHRM practices to enhance innovation performance in the semi-government IT-based organizations of Pakistan.
Disruptive green innovation stands out in an important way to achieve corporate sustainable development. Although the general importance of innovation ecosystem has recently been emphasized, little research has considered the influence of innovation ecosystem coopetition on disruptive green innovation. Combining resource-based view and resource orchestration theory, this study sheds light on the relationships among innovation ecosystem cooperation and competition, environmental resource orchestration, and disruptive green innovation under the moderating role of big data analytics capability. Using data collected from 295 manufacturing enterprises in China, the results show that both innovation ecosystem cooperation and competition have positive effects on environmental resource orchestration,and that environmental resource orchestration has a positive effect on disruptive green innovation.Furthermore, environmental resource orchestration is found to partially mediate the relationship between innovation ecosystem cooperation and disruptive green innovation, and to fully mediate the relationship between innovation ecosystem competition and disruptive green innovation. Moreover, we find that big data analytics capability has a moderating effect on the relationship between innovation ecosystem cooperation and environmental resource orchestration, whereas it does not moderate the relationship between innovation ecosystem competition and environmental resource orchestration. This study opens avenues for understanding the relationship between innovation ecosystem coopetition and disruptive green innovation, which enriches literature on both innovation ecosystem and green innovation. Likewise, this study has important implications for practitioners who attempt to promote market disruption and sustainable development with the help of ecosystems.
IJITM is a refereed and highly professional journal covering information technology, its evolution and future prospects. It addresses technological, managerial, political, economic and organisational aspects of the application of IT. Contents: The IJITM publishes: original papers; review papers; technical reports; case studies; conference reports; book reviews and notes; and commentaries and news. Contribution may be by submission or invitation, and suggestions for special issues and publications are welcome. Commentaries on papers and reports published in IJITM are encouraged. Authors will have the opportunity to respond to the commentary on their work before the entire treatment is published.
PurposeDespite the fact that user participation (UP) has been highlighted as an important aspect in innovation, previous findings on its relationship with service innovation performance (SIP) are inconsistent. This study aims to investigate the relationships among UP, knowledge management capability (KMC) and SIP, especially in the digital age, inspired by the theories of knowledge-based and absorptive capacity.Design/methodology/approachBased on a sample of 252 Chinese e-commerce enterprises, this study adopts a hierarchical regression analysis and bootstrap method to test the theoretical framework and research hypotheses.FindingsUP and KMC have positive effects on SIP, respectively. KMC plays a mediating role in the effect of UP on SIP. Furthermore, the intermediary role of KMC varies in different sub-paths between UP and SIP.Originality/valueFirst, this study provides some explanations for inconsistent arguments on the relationship between UP and service innovation. Second, with the consideration of specific dimensions of UP and SIP, the mediation role of KMC varies in different sub-paths has been recognized, which provides a deeper understanding of the relationship between UP and SIP. Third, this study opens the discussion about how to realize SIP more effectively in the digital age, advancing theoretical and practical developments on service innovation.
Purpose The purpose of this paper is to demonstrate visually the knowledge structure and evolution of disruptive innovation. The paper used CiteSpace III to analyze 1,570 disruptive innovation records from the Web of Science database between 1997 and 2016. Design/methodology/approach Initially, this paper offers a comprehensive overview of papers, countries, journals, scholars and application areas. Subsequently, a time zone view of high-frequency keywords is presented, emphasizing the course of evolution of the study hotspots. Finally, a visualization map of cited references and co-citation analysis are provided to detect the knowledge base at the forefront of disruptive innovation. Findings The findings are as follows: the number of papers shows exponential growth. The USA has the largest contribution and the strongest center. The Netherlands shows the largest burst, followed by Japan. Journal of Production Innovation Management and Research Policy is the most important journals. Hang CC has the largest number of articles. Walsh ST is identified as a high-yielding scholar. Christensen CM is the most authoritative scholar. Engineering electrical electronic is the most widely used research category, followed by management and business. The evolutionary course of the study hotspots is divided into five stages, namely, start, burst, aggregation, dispersion and not yet formed. Eight key streams in the literature are extracted to summarize the knowledge base at the forefront of disruptive innovation. Originality/value This paper explores the whole picture of disruptive innovation research and demonstrates a visual knowledge structure and the evolution of disruptive innovation. It provides an important reference for scholars to capture the current situation and influential trends in this field.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.