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Sustainable Management and Innovation Performance: Innovation for Competitive Advantage in the Era of the Knowledge Economy

A special issue of Sustainability (ISSN 2071-1050). This special issue belongs to the section "Sustainable Management".

Deadline for manuscript submissions: closed (31 December 2022) | Viewed by 33798

Special Issue Editor


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Guest Editor
1. Odette School of Business, University of Windsor, Windsor, ON N9B 3P4, Canada
2. School of Business, Nanjing Audit University, Nanjing 210017, China
Interests: business ethics; CSR; cross-cultural management; sustainability; technology management
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues, 

Innovation has become the new driving force of economic development (Drucker, 1993). More firms have recognized the importance of knowledge and innovation in obtaining sustainable competitive advantages in the era of the knowledge economy (Grant, 1996; Ma et al., 2014; Nonaka, 1991; Tang et al., 2020). Along with more emerging economies joining the global market, the competition has become even fiercer, and only those firms that can continuously create, transmit, and absorb new knowledge and innovation are able to succeed in the increasingly turbulent environment (Nonaka and Takeuchi, 1995). It is thus essential for firms to keep innovating in order to face the challenges brought forth by domestic and international competitors, in particular in emerging economies (Huang et al., 2018; Ma et al., 2014). In this Special Issue, we want to explore the managerial perspectives of innovation in the rise of the knowledge economy coupled with big data, machine learning, and artificial intelligence. A cluster of research on how sustainable management practice facilitates innovation performance is able to help to build a more innovation-based economic model for sustainable economic expansion across the globe. We welcome submissions that focus on but are not limited to the following topics of interest:

  • The critical role of innovation and knowledge management in the era of economic diversification and globalization;
  • The importance and potential contribution of knowledge management and innovation to a firm’s sustainable growth and competitive advantage;
  • The role of knowledge management in the revitalization of emerging economies;
  • The key factors for building a conducive environment to promote knowledge management and innovation, and the challenges and opportunities for innovation in the emerging trends of machine learning, artificial intelligence, cloud computing, crowdsourcing, and the virtual community;
  • The partnerships among firms, university, research institutes, and the government for knowledge management and innovation in order to create effective innovation ecosystems;
  • Challenges and barriers for college/universities, research institutes, and private companies to manage innovation and innovation ecosystems;
  • The role of government and public policy and regulations in facilitating or hindering innovation activities;
  • Individual differences (such as personality traits, past experiences including entrepreneurial experiences, education background) in knowledge management, innovation, and the online community;
  • Technology- and innovation-based venturing and management of new businesses;
  • Venture capital, angel investing, and entrepreneurial financing and their impact on a firms’ innovation and knowledge dissemination;
  • The mechanism at the level of organizations and institutions employed to foster organizational learning and innovation-based R&D activities;
  • Institutional factors that influence the performance of knowledge management and innovation;
  • What is the interplay between individual, organizational, and institutional influence on innovation and knowledge management in the era of big data and artificial intelligence?
  • What is the role of leadership in enhancing and maintaining knowledge management behaviors in organizations? Additionally, what are the roles of various stakeholders, including employees, customers, suppliers, competitors, strategic partners, and government agencies?
  • What is the impact of high-performance work systems on a firm’s innovation performance?

References:

Drucker, P.F. (1993). Post-Capitalist Society, Harper Collins, New York, NY.

Grant, R. M. (1996). Toward a knowledge-based theory of the firm. Strategic Management Journal, 17(S2), 109-122.

Huang, Y., Ma, Z., & Meng, Y. (2018). High performance work systems and employee engagement: Empirical evidence from China. Asia Pacific Journal of Human Resources, 56(3), 341-359.

Ma, Z., Huang, Y., Wu, J., Dong, W., & Qi, L. (2014). What matters for knowledge sharing in collectivistic cultures? Empirical evidence from China. Journal of Knowledge Management, 18(5), 1004-1019.

Nonaka, I. (1991). The knowledge creating company. Harvard Business Review, 69(6), 96-104.

Nonaka, I., & Takeuchi, H. (1995). The knowledge-creating company: How Japanese companies create the dynamics of innovation. Oxford university press.

Tang, H., Ma, Z., Xiao, J., & Xiao, L. (2020). Toward a more efficient knowledge network in innovation ecosystems: A simulated study on knowledge management. Sustainability,12(16), 6328.

Prof. Dr. Zhenzhong Ma
Guest Editor

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Keywords

  • competitive advantage
  • emerging markets
  • innovation
  • innovation ecosystem
  • knowledge management
  • network effect
  • platform enterprise innovation
  • sustainable management system and practices
  • sustainability

Published Papers (10 papers)

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Research

18 pages, 5229 KiB  
Article
Perception of Innovative Usage of AI in Optimizing Customer Purchasing Experience within the Sustainable Fashion Industry
by Minja Bolesnikov, Milica Popović Stijačić, Avi Bhargavi Keswani and Nebojša Brkljač
Sustainability 2022, 14(16), 10082; https://doi.org/10.3390/su141610082 - 15 Aug 2022
Cited by 3 | Viewed by 6007
Abstract
The research was designed to contribute to scientific efforts in exploring the attitude of fashion stakeholders towards AI and its use in attaining sustainability in fashion industry. Although the role of AI in Fashion has been studied before, the aim of this research [...] Read more.
The research was designed to contribute to scientific efforts in exploring the attitude of fashion stakeholders towards AI and its use in attaining sustainability in fashion industry. Although the role of AI in Fashion has been studied before, the aim of this research is to challenge and analyze the attitudes towards sustainable fashion of both stakeholders and consumers. The research considers the views of consumers, industry professionals and company shareholders on the role AI plays in pursuing ideas of Sustainable Fashion. Contrary to expectations, the companies with significant turnover did not show any greater awareness of the new trends in the fashion business. Furthermore, previous familiarity with the usage of AI did not prove to promote openness towards the recommendation of apps which use AI to promote Sustainable Fashion. The value of this research lies in the findings, which help provide a framework which can be used to change the viewpoint of the key market players. The crucial finding is that the AI approach on sustainability will influence both users (changing their purchasing decisions toward more sustainable choices if provided with a set of information on ecological impact, production choices), and corporate businesses (changing the overall business strategy, planning, marketing communication and production designs). The paper offers milestones for further research on synergies between AI, fashion industry lined with UNS SDGs and purchasing behavior. Full article
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21 pages, 1009 KiB  
Article
Impact of Inventor’s Cooperation Network on Ambidextrous Innovation in Chinese AI Enterprises
by Xiaoli Li, Kun Li and Hao Zhou
Sustainability 2022, 14(16), 9996; https://doi.org/10.3390/su14169996 - 12 Aug 2022
Cited by 5 | Viewed by 1554
Abstract
With the intensification of artificial intelligence (AI) industry competition, innovation has become an important practical way for companies to achieve sustainable development. In this context, it is important to study the transmission paths affecting the development of ambidextrous innovation in AI firms from [...] Read more.
With the intensification of artificial intelligence (AI) industry competition, innovation has become an important practical way for companies to achieve sustainable development. In this context, it is important to study the transmission paths affecting the development of ambidextrous innovation in AI firms from the perspectives of inventor cooperation networks and technological knowledge base variety. This study uses a sample of 399 of China’s AI organizations from 2008 to 2017. We explore the impact of an inventor cooperation network on ambidextrous innovation and dissect the mediating role of technological knowledge base variety between inventor cooperation network and ambidextrous innovation. We find that inventor cooperation network structural hole and centrality have an inverted U-shape relationship with a firm’s ambidextrous innovation. Additionally, inventor cooperation network centrality has a positive effect on technological knowledge base variety. In addition, there is an inverted U-shaped relationship between inventor cooperative network structure holes and technological knowledge base variety. Meanwhile, the research also finds that the unrelated variety of technological knowledge base mediates the relationship between the inventor cooperation network and ambidextrous innovation. The related variety of technological knowledge base mediates the relationship between the inventor cooperation network and exploitative innovation. However, the related variety of technological knowledge base cannot play a mediating role between inventor cooperation network and exploratory innovation. Full article
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23 pages, 1023 KiB  
Article
The Influence of External Knowledge Searches on Enterprises’ Innovation Performance: A Meta-Analysis
by Yu Zhang, Xuechun Zhang, Hao Zhang and Lusi A
Sustainability 2022, 14(13), 8081; https://doi.org/10.3390/su14138081 - 1 Jul 2022
Cited by 2 | Viewed by 1744
Abstract
Innovation is one aspect of the pursuit of the harmonious development of the environment, economy, and society. Although prior research has examined the factors that influence corporate innovation, how external knowledge search affects it remains unclear. We contribute to this literature by examining [...] Read more.
Innovation is one aspect of the pursuit of the harmonious development of the environment, economy, and society. Although prior research has examined the factors that influence corporate innovation, how external knowledge search affects it remains unclear. We contribute to this literature by examining how knowledge searches influence firms’ innovation performance from a knowledge-based point of view and organizational search theory. We utilized meta-analysis to conduct empirical testing on 15,059 samples from 58 independent studies. The conclusions are as follows: first, the overall test showed a significant positive correlation between external knowledge search and firm innovation performance; second, the group test shows that the positive impact of external knowledge search on the innovation performance of mature enterprises is more obvious; scaled measurement and collectivism have more significant influences on the relationship between external knowledge search and firm innovation performance. Further research concluded that a breadth search could provide higher innovation performance than a depth search. Meanwhile, the same results were obtained in the subgroup tests of start-ups, non-high-tech enterprises, high-tech enterprises, scale measurement, and collectivism. Finally, both balanced knowledge search and joint knowledge searches significantly improved the innovation performance of enterprises, and the innovation effect brought by balanced knowledge search is more prominent than the latter. Full article
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21 pages, 472 KiB  
Article
Value Creation in Platform Enterprises: A Fuzzy-Set Qualitative Comparative Analysis
by Huayong Du, Ying Teng, Zhenzhong Ma and Xuguang Guo
Sustainability 2022, 14(9), 5331; https://doi.org/10.3390/su14095331 - 28 Apr 2022
Cited by 5 | Viewed by 2294
Abstract
Platform enterprises have emerged as one of the most popular business models in the era of knowledge economy. The success of platform enterprises relies on continuous value creation by constructing an efficient platform and attracting more users to participate in order to create [...] Read more.
Platform enterprises have emerged as one of the most popular business models in the era of knowledge economy. The success of platform enterprises relies on continuous value creation by constructing an efficient platform and attracting more users to participate in order to create more value for the users and by the users. This study is to explore the key factors that drive value creation in platform enterprises’ ecosystem to help better understand the management of platform enterprises as the knowledge-based entrepreneurial ventures in emerging markets. This study employs a newly emerged method—a fuzzy-set qualitative comparative analysis to empirically analyze the antecedent configurations of value creation for Chinese platform enterprises. This method extends qualitative comparative analysis by integrating fuzzy-sets and fuzzy-logic principles with qualitative comparative analysis principles, which offers a more realistic approach. This paper identifies different configurations for high and non-high levels of value creation in platform enterprises. The results show that continuous user commitment is crucial to creating positive value for Chinese platform enterprises, and active user participation and knowledge sharing as well as platform construction/improvement are the key elements that determine the platform enterprises’ value creation process. The results also demonstrate a hybrid value creation logic with efficiency and innovation in platform enterprises. This study further identifies an asymmetric causality in the Chinese platform enterprises’ value creation process that is crucial for knowledge sharing and effective management of platform enterprises. The findings can shed light on the strategic management of platform enterprises for emerging markets. Full article
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21 pages, 4804 KiB  
Article
Intellectual Capital and Competitive Advantage and the Mediation Effect of Innovation Quality and Speed, and Business Intelligence
by Manar Nael Khaleel Niwash, Kemal Cek and Serife Z. Eyupoglu
Sustainability 2022, 14(6), 3497; https://doi.org/10.3390/su14063497 - 16 Mar 2022
Cited by 14 | Viewed by 3479
Abstract
This study aims at investigating the mediating impact of business intelligence, innovation speed and innovation quality on the relationship between the different components of intellectual capital and competitive advantage in the context of Jordanian companies. To achieve this, the study developed a theoretical [...] Read more.
This study aims at investigating the mediating impact of business intelligence, innovation speed and innovation quality on the relationship between the different components of intellectual capital and competitive advantage in the context of Jordanian companies. To achieve this, the study developed a theoretical framework that depicts the mediation through data that were collected randomly, from the pharmaceutical and medical supplies companies, with a total sample of 569 participants. Data were analyzed using structural equation modeling, SEM (CB-SEM), for model fit and Process software for path analysis to estimate the different indirect effects. The findings provide evidence that all mediators serve differently as important mediating mechanisms between the different components of intellectual capital and competitive advantage. Overall, the results of this study show and clarify the mediating mechanism of business intelligence, innovation speed and innovation quality, as mediators through which human capital, structural capital and relational capital improve competitive advantage in the context of Jordanian companies. Full article
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13 pages, 895 KiB  
Article
Hegemony of Digital Platforms, Innovation Culture, and E-Commerce Marketing Capabilities: The Innovation Performance Perspective
by Amira Khattak
Sustainability 2022, 14(1), 463; https://doi.org/10.3390/su14010463 - 2 Jan 2022
Cited by 12 | Viewed by 4251
Abstract
Advanced technologies have affected business models. Sustainable innovation performance has become very critical for the survival of businesses, in particular in emerging economies. Therefore, this study aims to investigate the impact of digital platforms, innovation culture (IC), and e-commerce marketing capabilities on innovation [...] Read more.
Advanced technologies have affected business models. Sustainable innovation performance has become very critical for the survival of businesses, in particular in emerging economies. Therefore, this study aims to investigate the impact of digital platforms, innovation culture (IC), and e-commerce marketing capabilities on innovation performance (IP). In this study, the intervening role of IC was studied. Furthermore, the moderating role of e-commerce marketing capabilities was studied regarding the link between digital platforms and IP. Data were collected from the top management of small and medium enterprises (SMEs) working in several cities in Pakistan. For the data collection and analysis, the quantitative research method was used. Correlation, regression, and bootstrap methods were applied to test hypotheses. The results showed that digital platforms have positive impacts on innovation culture and IP. The findings verified that IC plays a mediating role in the relationship between digital platforms and IP. Moreover, digital platforms increase IP in the presence of e-commerce marketing capabilities. SMEs employ a self-motivated perspective, and it is necessary to evaluate their performance in terms of innovation. Subsequently, businesses that innovate their services and products with respect to their customers’ demands have the capacity to achieve true success. Consequently, SMEs need to analyze their IP for their businesses to flourish. The study emphasizes the overlooked relation of digital platforms and IP, as well as demonstrates the mediation effect of IC. Full article
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16 pages, 488 KiB  
Article
The Sustainability of Superior Performance of Platform Complementor: Evidence from the Effects of Iterative Innovation and Visibility of App in iOS Platform in China
by Na Wang, Shuangying Chen, Lei Xiao and Feng Fu
Sustainability 2021, 13(7), 4034; https://doi.org/10.3390/su13074034 - 5 Apr 2021
Cited by 6 | Viewed by 2648
Abstract
The sustainability of superior performance is a vital goal for complementor in mobile platform ecosystem, but it is becoming increasingly difficult to realize it. The previous literature about the sustainability of superior performance is insufficient and lacks deep research the mechanisms that affect [...] Read more.
The sustainability of superior performance is a vital goal for complementor in mobile platform ecosystem, but it is becoming increasingly difficult to realize it. The previous literature about the sustainability of superior performance is insufficient and lacks deep research the mechanisms that affect the sustainability of superior performance. Based on user-oriented perspective, this study examines the direct and interactive effects of app’s iterative innovation and visibility on the sustainability of complementor’s superior performance. Using a two-way fixed effect model and monthly panel data, with the final dataset of 4596 observations from 384 apps of top-ranking positions by revenue available from December 2018 to December 2019 on the Apple iOS App Store in China, the results show that a) app’s iterative innovation and visibility (including platform recommendations and download rankings) promote the sustainability of app’s superior performance; b) platform recommendations and iterative innovation have a synergistic effect on the sustainability of app’s superior performance; and c) the download ranking has a substitution effect on iterative innovation to promote the sustainability of app’s superior performance. The findings of this study have theoretical and practical implications for improving the sustainability of app’s superior performance in the digital age. Full article
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17 pages, 502 KiB  
Article
Future Work Self and Employee Creativity: The Mediating Role of Informal Field-Based Learning for High Innovation Performance
by Qichao Zhang, Zhenzhong Ma, Long Ye, Ming Guo and Shuzhen Liu
Sustainability 2021, 13(3), 1352; https://doi.org/10.3390/su13031352 - 28 Jan 2021
Cited by 12 | Viewed by 4401
Abstract
In today’s highly uncertain environment, the value of creativity and innovation are increasingly critical. How individuals could improve their creativity and innovation performance has become the focus of attention. Future work self as an intrinsic motivation factor plays an important role in creativity [...] Read more.
In today’s highly uncertain environment, the value of creativity and innovation are increasingly critical. How individuals could improve their creativity and innovation performance has become the focus of attention. Future work self as an intrinsic motivation factor plays an important role in creativity and innovation. Based on the self-consistency theory, this study integrated proactive personality and informal field-based learning (IFBL) to explore the relationship between future work self and employee creativity to increase innovation performance. It used data from 201 R&D department employees in China’s high-tech companies. The results show that future work self has a positive effect on employee creativity and that IFBL mediates the relationship between future work self and employee creativity. This process is then positively moderated by a proactive personality. This study’s results help clarify the formation mechanism of creativity from the perspective of intrinsic motivation and indicate that future work self can drive individuals’ creativity and innovation efforts, especially under the consistency of self-concept, motivation and personality. This research also emphasizes the importance of IFBL in improving individual creativity and further organizational innovation performance. Implications for theory and management to help improve creativity and innovation performance are then discussed in detail. Full article
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17 pages, 687 KiB  
Article
The Impact of R&D Intensity on the Innovation Performance of Artificial Intelligence Enterprises-Based on the Moderating Effect of Patent Portfolio
by Yuanyuan Dong, Zepeng Wei, Tiansen Liu and Xinpeng Xing
Sustainability 2021, 13(1), 328; https://doi.org/10.3390/su13010328 - 31 Dec 2020
Cited by 17 | Viewed by 3621
Abstract
The patent portfolio affects the research and development (R&D) decisions of artificial intelligence enterprises, and provides rights protection for the enterprise’s product market, which is of great practical significance for the realization of innovation performance. The aim of this paper is to discover [...] Read more.
The patent portfolio affects the research and development (R&D) decisions of artificial intelligence enterprises, and provides rights protection for the enterprise’s product market, which is of great practical significance for the realization of innovation performance. The aim of this paper is to discover how the patent portfolio of artificial intelligence enterprises affects the relationship between R&D intensity and innovation performance. Based on the panel data of 164 listed enterprises in the A-share artificial intelligence concept sector of China, using the panel fixed effect regression method, the impact of R&D intensity on innovation performance was analyzed, and the moderating effect of the three dimensions of the patent portfolio on the two was examined. Studies have shown that the impact of R&D intensity on innovation performance is in an inverted U-shaped relationship. In addition, the diversity characteristics of the patent portfolio have a moderating effect on the relationship between R&D intensity and innovation performance, and when the enterprise is at a high level of diversity, the two have a U-shaped flip relationship. The size of the patent portfolio has a positive impact on innovation performance. The research results have theoretical and practical significance for the implementation of effective R&D management in artificial intelligence enterprise organizations. Full article
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17 pages, 719 KiB  
Article
Leading Proactivity in Innovative Startups: A Moderated Mediation Model
by Mario Martínez-Córcoles and Xi Zhu
Sustainability 2020, 12(23), 9878; https://doi.org/10.3390/su12239878 - 26 Nov 2020
Cited by 6 | Viewed by 2246
Abstract
Despite the growing research interest in proactivity, little is known about the relational mechanisms that cultivate individuals’ proactivity in the workplace. This research aims to explore the leader–follower relational mechanisms leading to employee proactive performance in innovative startups. The sample consisted of 83 [...] Read more.
Despite the growing research interest in proactivity, little is known about the relational mechanisms that cultivate individuals’ proactivity in the workplace. This research aims to explore the leader–follower relational mechanisms leading to employee proactive performance in innovative startups. The sample consisted of 83 employees from eleven startups. Conditional process modeling was conducted to explore the background relational mechanisms of employee proactive performance. Employees with upward psychological safety (who felt safe to speak up and contribute in front of their leaders) were willing to go beyond their formal roles and job descriptions for the sake of the firm (challenging role orientation). In turn, this orientation predicted self-directed efforts and initiated better ways of doing their job (proactive performance). Under high levels of perceived uncertainty, upward psychological safety was a stronger predictor of proactive performance through a challenging role orientation. This study reveals that upward psychological safety is critical for enhancing employee proactivity at work, particularly under high uncertainty. Full article
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