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Application of RBF model in the relationship between organisational innovation and organisational performance of HEM enterprises


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Fig. 1

RBF neural network. RBF, radial basis function.
RBF neural network. RBF, radial basis function.

Reliability and validity of variables.

Variables Question Factor loading Cronbach's Alpha AVE
Structural innovation (S) S1: Enterprises are developing towards flatness and flexibility 0.864 0.876 0.852
S2: Employees have more autonomy and decision-making power 0.858
S3: Corporate communication efficiency and information transmission speed are steadily improving 0.861
S4: The speed of feedback on work is increasing 0.825

Strategic innovation (Z) Z1: Grasp market opportunities and timely adjust the resource allocation 0.879 0.825 0.874
Z2: Have a comprehensive understanding of internal innovation resources and capabilities 0.897
Z3: Regard innovation as an important part of development strategy 0.844

Cultural innovation (C) C1: Have a clear vision for building an ‘innovative culture’ 0.923 0.927 0.914
C2: Create a strong atmosphere of innovation 0.918
C3: Encourage employees to make new attempts and tolerate failure 0.925
C4: Entrepreneurs who are innovative and daring to take risks 0.891

Process innovation (P) P1: The information system is continuously applied and improved 0.858 0.890 0.847
P2: The management process cycle is more reasonable 0.843
P3: Product turnover cycle is shortening 0.839

Institutional innovation (I) I1: Establish and continuously improve and adjust employee incentive mechanisms 0.898 0.882 0.884
I2: Develop and implement a flexible intellectual property management system 0.881
I3: Optimise and adjust the management system to meet the needs of innovative activities 0.873

OP OP1: Compared with other competitors, have higher profits 0.811 0.861 0.818
OP2: Compared with other competitors, has a larger market share 0.787
OP3: Compared with other competitors, the profit growth rate is faster 0.854
eISSN:
2444-8656
Sprache:
Englisch
Zeitrahmen der Veröffentlichung:
Volume Open
Fachgebiete der Zeitschrift:
Biologie, andere, Mathematik, Angewandte Mathematik, Allgemeines, Physik