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Digital Transformation and Development of Renewable Resource Enterprises in the Context of Digitalization

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DOI: 10.23977/acccm.2024.060301 | Downloads: 1 | Views: 80

Author(s)

Changjiang Yu 1,2, Yufei Qin 1,2, Daolong Zhu 1,2, Yuqing Liu 1,2

Affiliation(s)

1 Jiangxi University of Finance and Economics Postdoctoral Mobile Station Jiangxi Green Cycle Industry Co., LTD., Fengcheng, Jiangxi, China
2 Postdoctoral Innovation Practice Base Jiangxi Green Cycle Industry Co., LTD, Fengcheng, Jiangxi, China

Corresponding Author

Changjiang Yu

ABSTRACT

How to improve the level of green innovation of enterprises is an important issue that needs to be solved behind the current strategy of developing a green and low-carbon circular economy. Adopting the qualitative comparison analysis based on Fuzzy-set method, from the perspective of "environment-subject" system, the configuration path that drives and affects the green innovation level of renewable resource enterprises is studied. It is found that: (1) variables such as digital foundation, environmental regulation, and government subsidies are not the single necessary conditions for the high-level green innovation of renewable resource enterprises, and the green innovation of enterprises is affected by the synergy and concurrency of multiple factors.(2) Three high-level configurations: "digital subject-driven", "environment driven", and "resource driven" are identified.(3) Renewable resource enterprises should combine their own innovative environment, differentiate and customize the high-level development path of green innovation, empower the development of green and low-carbon circular economy, and promote the achievement of dual carbon goals.

KEYWORDS

Green Innovation, Digitization, Renewable Resources, Innovation Ecosystem

CITE THIS PAPER

Changjiang Yu, Yufei Qin, Daolong Zhu, Yuqing Liu, Digital Transformation and Development of Renewable Resource Enterprises in the Context of Digitalization. Accounting and Corporate Management (2024) Vol. 6: 1-6. DOI: http://dx.doi.org/10.23977/acccm.2024.060301.

REFERENCES

[1] Yu Bai, Siyi Song, Jianling Jiao, Ranran Yang. The impacts of government R&D subsidies on green innovation: Evidence from Chinese energy-intensive firms[J]. Journal of Cleaner Production, 2019.
[2] Wicki Samuel, Hansen Erik G. Green technology innovation: Anatomy of exploration processes from a learning perspective [J]. Business strategy and the environment, 2019.
[3] Gema Albort-Morant, Antonio Leal-Millán, Gabriel Cepeda-Carrión. The antecedents of green innovation performance: A model of learning and capabilities[J]. Journal of Business Research, 2016.
[4] Baris Yalabik, Richard J. Fairchild. Customer, regulatory, and competitive pressure as drivers of environmental innovation [J]. International Journal of Production Economics, 2011.
[5] Philipp Gölzer, Albrecht Fritzsche. Data-driven operations management: organisational implications of the digital transformation in industrial practice [J]. Production Planning & Control, 2017.
[6] Jun Shan, Shitao Yang, Shilei Yang, Jin Zhang. An Empirical Study of the Bullwhip Effect in China[J]. Production and Operations Management, 2014.
[7] Simon Chanias, Michael D. Myers, Thomas Hess. Digital transformation strategy making in pre-digital organizations: The case of a financial services provider[J]. Journal of Strategic Information Systems, 2019.
[8] Sambit Lenka, Vinit Parida, Joakim Wincent. Digitalization Capabilities as Enablers of Value Co‐Creation in Servitizing Firms [J]. Psychology & Marketing, 2017.
[9] Kuen-Hung Tsai, Teresa Tiaojung Hsu. Cross-Functional collaboration, competitive intensity, knowledge integration mechanisms, and new product performance: A mediated moderation model[J]. Industrial Marketing Management, 2013.
[10] Riitta Katila, Gautam Ahuja. Something Old, Something New: A Longitudinal Study of Search Behavior and New Product Introduction[J]. The Academy of Management Journal, 2002.

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