TY - GEN
T1 - Human Resources Strategies in High-tech Startups during the Seed Phase
T2 - 2022 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2022
AU - Nakaya, Yushi
AU - Ishida, Shuichi
N1 - Funding Information:
This work was supported by JPPS KAKENHI Grant Numbers JP19H01516, JP20H01546, and JP22K01742.
Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - In startup companies, it is important to understand and assess the abilities that are required to become the core competencies of the organization. However, startups have limited resources, so they need an easier technique to measure the match with the culture and traits of the company. To do this, it is first necessary to consider what characteristics of the organization's core competencies. After conducting action research and analyzing meetings at a high-tech start-up company managed by Mr. Nakaya as CTO, we found that the ability to tolerate uncertainty, such as the proficiency to create hypotheses without being limited by immediate facts and methodologies, is a skill of great value, especially to the company. We also found the characteristics of those who have these abilities and those who do not appear in conversations by using correspondence analysis, or principal component analysis (PCA). Furthermore, using the PCA results, we aim to create a framework that can be used universally within the company that conducted the analysis.
AB - In startup companies, it is important to understand and assess the abilities that are required to become the core competencies of the organization. However, startups have limited resources, so they need an easier technique to measure the match with the culture and traits of the company. To do this, it is first necessary to consider what characteristics of the organization's core competencies. After conducting action research and analyzing meetings at a high-tech start-up company managed by Mr. Nakaya as CTO, we found that the ability to tolerate uncertainty, such as the proficiency to create hypotheses without being limited by immediate facts and methodologies, is a skill of great value, especially to the company. We also found the characteristics of those who have these abilities and those who do not appear in conversations by using correspondence analysis, or principal component analysis (PCA). Furthermore, using the PCA results, we aim to create a framework that can be used universally within the company that conducted the analysis.
KW - high-tech startups
KW - Human resource management
KW - text mining
UR - http://www.scopus.com/inward/record.url?scp=85146327760&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85146327760&partnerID=8YFLogxK
U2 - 10.1109/IEEM55944.2022.9989563
DO - 10.1109/IEEM55944.2022.9989563
M3 - Conference contribution
AN - SCOPUS:85146327760
T3 - IEEE International Conference on Industrial Engineering and Engineering Management
SP - 57
EP - 61
BT - IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2022
PB - IEEE Computer Society
Y2 - 7 December 2022 through 10 December 2022
ER -