An Empirical Study on Talent Management Strategies of Knowledge-Based Organizations Using Entrepreneurial Psychology and Key Competence

Abstract

The empirical study reported here aims to improve the effectiveness of knowledge-based talent management in science and technology enterprises and promote the stable development of enterprises. First, the impact of entrepreneurs’ psychological cognition and personal characteristics on entrepreneurial activities is analyzed based on entrepreneurial psychology. Then, the theory of key competence is introduced to study the management mode of knowledge-based talents. The advantages of talents in enterprises are sorted out through constructing the key competency model to manage talents efficiently. The technology-based enterprise M is taken as an example for analysis by the key competence model to obtain 18 key capability indexes. Through the principal component analysis of 255 employees’ survey results, finally, four factors are extracted (business execution ability, team cooperation ability, strategic thinking ability, and management decision-making ability), which can reflect 68.92% of the total key competence. The average values of “business execution ability” and “team cooperation ability” in the first-level dimension of key competence index are 4.14 and 4.24, respectively, which can be regarded as the essential key competence. The investigation results of the academic qualifications of staff of M indicate that 6% of employees have a doctorate, 38% have a master’s degree, 37% have a Bachelor’s degree, and 19% have a junior college degree or below. Moreover, knowledge-based employees are basically satisfied with the organization and management of the company, but they are dissatisfied with the training mechanism and promotion mechanism. Therefore, enterprises should pay attention to the psychological needs of knowledge workers and the innovation of talent management. The research results are of significant value for science and technology enterprises to absorb and retain knowledge-based talents and promote the common development of enterprises and employees.

A New Grey Target Evaluation Method of Science and Technology Talents Considering ‘Dominant-Implicit’ Reference Points

“…The data in Table 3 are input indicator weights and the data in Table 4 are output indicator weights. D (1) 0.2785 0.2465 0.3253 0.1072 0.0425 D (2) 0.1328 0.2886 0.2448 0.2028 0.1310 D (3) 0.4960 0.1630 0.2053 0.0925 0.0432 D (4) 0 The results show:…”

“…There is a U-shaped curve relationship between international talent and corporate innovation performance and strengthening the embeddedness of international talent within a company can enhance its innovation capability [1]. Companies should pay attention to the psychological needs of knowledge-based talents and make management innovations to absorb and retain them to promote the joint development of companies and talents, where business execution, teamwork, strategic thinking and management decision making are key competencies for innovation and entrepreneurship [2]. Digitization is leading to a strong convergence of digital technologies and supply management executives, making the division of roles clearer and supply chain management executive talent will dominate in the future [3].…”

Talent identification research: a bibliometric study from multidisciplinary and global perspectives

“…The often-called “war for talent” is a critical sign that talent is a scarce resource and stakeholders are willing to compete for it ( Klett and Wang, 2013 ). In the fields of management and sports, early identification, training, and retention of talents has situated TI as an essential element of productivity in the workforce ( Liu, 2021a ; Alanazi, 2022 ) and elite performance in sports like soccer and basketball ( Burgess et al, 2012 ; Alcântara et al, 2022 ). Therefore, identifying, selecting, and developing talents has become, more than ever, key to the development of individuals and societies.…”

Innovative Research on Cultivation Mechanism and Introduction Mechanism of Top Talents in Colleges and Universities under the Background of Big Data

“…Provide flexible and diversified career development paths to meet the career development needs of different talents, especially for experts in the fields of data science and artificial intelligence. Create an environment conducive to the growth and innovation of talents through close cooperation with enterprises and scientific research institutes [12].…”

“…Jibing Qian. Applied Mathematics and Nonlinear Sciences, 9(1) (2024)[1][2][3][4][5][6][7][8][9][10][11][12][13][14][15][16][17][18][19] …”