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Within the Competitiveness Pole, Inter-Organizational Trust Redefines the Line
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Accounting & Marketing

ISSN: 2168-9601

Open Access

Commentary - (2023) Volume 12, Issue 3

Within the Competitiveness Pole, Inter-Organizational Trust Redefines the Line

Chaohui Zhao*
*Correspondence: Chaohui Zhao, Department of Electrical Engineering, University of Shanghai Dianji, No. 300, Shuihua Road, Shanghai, 201306, P.R. China, Email:
Department of Electrical Engineering, University of Shanghai Dianji, No. 300, Shuihua Road, Shanghai, 201306, P.R. China

Received: 02-May-2023, Manuscript No. Jamk-23-104440; Editor assigned: 04-May-2023, Pre QC No. P-104440; Reviewed: 16-May-2023, QC No. Q-104440; Revised: 22-May-2023, Manuscript No. R-104440; Published: 29-May-2023 , DOI: 10.37421/2168-9601.2023.12.430
Citation: Zhao, Chaohui. “Within the Competitiveness Pole, Inter-Organizational Trust Redefines the Line.” J Account Mark 12 (2023): 430.
Copyright: © 2023 Zhao C. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution and reproduction in any medium, provided the original author and source are credited.

Introduction

Manufacturing is the primary source of the country's innovation (90 percent of R&D) and competitiveness (80% of exports), making it an important growth engine for the French economy. In any case, this monetary framework entered the excess twenty years in length of business change. It also faces strong charge competition in work-intensive and technology-extensive sports. The contemporary objective of the French monetary framework is to safeguard head above water till quiet wins in stricken waters. In financial aspects, keeping up with one's head above water spells seriousness and it calls for the time being as of now not handiest to have a business base anyway moreover the cap potential to select the significant mechanical and business assets.

Description

To enhance France's situation, a substantial investment in technology is needed, requiring both private and public actors in the fields of education, training, Research and Development (R&D), and innovation to commit financially. To create an environment conducive to innovation, a cluster strategy has been implemented by administrations. This strategy aims to bring together entrepreneurs, research center managers, higher education institutions, and public officials, fostering collaboration and value creation. However, a study by larger players is hesitant to share their research investments and improve performance with smaller organizations, while smaller players are concerned about potential imbalances in cooperation, resulting in a strong sense of mistrust among actors [1].

Trust plays a vital role in trade and the evaluation of organizations as social systems. However, the process of social integration can be challenging due to differences in approaches, cultures, organizational types, management styles, and modes of communication. Despite the challenges, research suggests that establishing trust among partners can facilitate mutually beneficial learning experiences while protecting each organization's unique capabilities. In the context of competitiveness poles, clusters leverage familial relationships to create networks and foster favorable growth environments. These clusters represent a stabilized and consolidated group of independent actors, comprising specialized organizations and institutions within a specific area. They act as magnets, attracting attention, businesses, customers, migration, and population. Competitiveness poles aim to promote polarization around technological progress, innovation, and quality. By bringing together businesses, research centers, and educational entities, these clusters stimulate innovation, research and development, and workforce training, generating new ideas and contributing to regional economic development [2,3].

The clusters generate employment opportunities primarily through the establishment of governance structures and the formation of new partnerships and development initiatives. For instance, let's consider the example of an international cluster. In an international cluster, the creation of governance structures, such as cluster management organizations or associations, leads to the emergence of job positions related to cluster coordination, strategic planning, and administration. These roles involve overseeing the overall functioning of the cluster, coordinating activities among cluster members, and managing collaborative projects. Furthermore, the formation of new partnerships within the cluster can give rise to job opportunities. As companies, research institutions, and educational organizations collaborate and engage in joint projects, they may require additional staff to support these initiatives. This could include research and development specialists, project managers, technical experts, and other professionals with expertise in specific domains relevant to the cluster's focus [4,5].

Conclusion

Overall, the international cluster's activities and initiatives can lead to job creation both directly through the establishment of governance structures and indirectly through partnerships and development projects within the cluster. Development projects undertaken by the cluster can also contribute to job creation. These projects may involve infrastructure development, the establishment of research facilities, innovation centers, or business incubators, and the implementation of training and skills development programs. As these initiatives progress, they can generate employment opportunities in construction, facility management, research, training, and related fields.

Acknowledgement

None.

Conflict of Interest

The authors declare that there is no conflict of interest associated with this manuscript.

References

  1. Liu, Yiming, F. Richard Yu, Xi Li and Hong Ji, et al. "Blockchain and machine learning for communications and networking systems." IEEE Commun Surv Tutor 22 (2020): 1392-1431.
  2.  Google Scholar, Crossref, Indexed at

  3. Baldominos, Alejandro and Yago Saez. "Coin. AI: A proof-of-useful-work scheme for blockchain-based distributed deep learning." Entropy 21 (2019): 723.
  4.  Google Scholar, Crossref, Indexed at

  5. Bravo-Marquez, Felipe, Steve Reeves and Martin Ugarte. "Proof-of-learning: A blockchain consensus mechanism based on machine learning competitions." IEEE Trans Knowl Data Eng 30 (2019): 119-124.
  6.  Google Scholar, Crossref, Indexed at

  7. Tapscott, Don and Jim Euchner. "Blockchain and the internet of value: An interview with don tapscott don tapscott talks with jim euchner about blockchain, the internet of value and the next internet revolution." Res Technol Manag 62 (2019): 12-19.
  8. Google Scholar, Crossref, Indexed at

  9. Dinh, Tien Tuan Anh, Rui Liu and Meihui Zhang, et al. "Untangling blockchain: A data processing view of blockchain systems." IEEE Trans Knowl Data Eng 30 (2018): 1366-1385.
  10.  

    Google Scholar, Crossref, Indexed at

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