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Dynamically Explore the Characteristic of Individual Learning Type in Innovation Process

Select Volume / Issue:

• Volume 2,Issue 5, Sept. 2015

Year:

2015

Type of Publication:

Article

Keywords:

Learning Type, Innovation, Process-Phase, Time-Frame

Authors:

• Hsu, Pi-Shan
• Chang, Te-Jeng

Journal:

IJIRES

Volume:

2

Number:

5

Pages:

358-365

Month:

September

BibTex:

@article{399, author = "Pi-Shan Hsu and Te-Jeng Chang", abstract = "The longitudinal relationship between exploitative {\&}amp; exploratory learning and innovation performance has not been researched dynamically and quantitatively by the time-domain frame in the innovation process. The dynamic exploration of the characteristic of individual learning type by exploring time-frame based quantitative data on the trade-off and interaction between exploitative and exploratory learning for different individual learning types are adopted in this study. LPM (Learning Progress Motivation)algorithm converts the interaction of exploitative and exploratory learning of 154 R{\&}amp;D engineers into the process-phase quantitative data through the innovation process. Three learning types are classified by the unique complementarity characteristic between exploitative and exploratory learning. ", journal = "IJIRES", keywords = "Learning Type, Innovation, Process-Phase, Time-Frame", month = "September", note = "This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License. CC BY-NC-SA 4.0 Creative Commons License: https://creativecommons.org/licenses/by-nc-sa/4.0/", number = "5", pages = "358-365", title = "{D}ynamically {E}xplore the {C}haracteristic of {I}ndividual {L}earning {T}ype in {I}nnovation {P}rocess", volume = "2", year = "2015", }

Note:

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License. CC BY-NC-SA 4.0 Creative Commons License: https://creativecommons.org/licenses/by-nc-sa/4.0/

Abstract:

The longitudinal relationship between exploitative & exploratory learning and innovation performance has not been researched dynamically and quantitatively by the time-domain frame in the innovation process. The dynamic exploration of the characteristic of individual learning type by exploring time-frame based quantitative data on the trade-off and interaction between exploitative and exploratory learning for different individual learning types are adopted in this study. LPM (Learning Progress Motivation)algorithm converts the interaction of exploitative and exploratory learning of 154 R&D engineers into the process-phase quantitative data through the innovation process. Three learning types are classified by the unique complementarity characteristic between exploitative and exploratory learning.

Full text: IJIRES_399_Final.pdf Online version [Bibtex]