TY - GEN
T1 - A Socio-Technical Framework for Measuring Organizational Capacity during Cyberinfrastructure Diffusion
AU - Kee, Kerk F.
AU - Olshansky, Alex
AU - Xu, Shan
N1 - Publisher Copyright:
© 2021 IEEE.
PY - 2021
Y1 - 2021
N2 - This paper presents a socio-technical framework for measuring organizational capacity for cyberinfrastructure (CI) implementation, adoption, and diffusion at the team's level. CI implementation is an example of big data science project in data-intensive projects funded by the US National Science Foundation (NSF), providing a unique case for understanding big data science teams from an important field that is academic and scientific in nature. We argue that organizational capacity can be defined by the three dimensions of foundational technical expertise, daily social interactions, and enduring organizational qualities. We provide scale items for measuring these three dimensions, using a questionnaire in a self-reported and self-reflexive fashion. The overall average score and the individual composite scores of the three dimensions (and their sub-dimensions) can be used as feedback and capacity building activities as intervention strategies. Future research will statistically validate the framework using exploratory and confirmatory factor analyses.
AB - This paper presents a socio-technical framework for measuring organizational capacity for cyberinfrastructure (CI) implementation, adoption, and diffusion at the team's level. CI implementation is an example of big data science project in data-intensive projects funded by the US National Science Foundation (NSF), providing a unique case for understanding big data science teams from an important field that is academic and scientific in nature. We argue that organizational capacity can be defined by the three dimensions of foundational technical expertise, daily social interactions, and enduring organizational qualities. We provide scale items for measuring these three dimensions, using a questionnaire in a self-reported and self-reflexive fashion. The overall average score and the individual composite scores of the three dimensions (and their sub-dimensions) can be used as feedback and capacity building activities as intervention strategies. Future research will statistically validate the framework using exploratory and confirmatory factor analyses.
KW - big data science projects
KW - cyberinfrastructure studies
KW - diffusion of innovations
KW - organizational capacity
KW - technology implementation
UR - http://www.scopus.com/inward/record.url?scp=85125356750&partnerID=8YFLogxK
U2 - 10.1109/BigData52589.2021.9672004
DO - 10.1109/BigData52589.2021.9672004
M3 - Conference contribution
AN - SCOPUS:85125356750
T3 - Proceedings - 2021 IEEE International Conference on Big Data, Big Data 2021
SP - 2301
EP - 2305
BT - Proceedings - 2021 IEEE International Conference on Big Data, Big Data 2021
A2 - Chen, Yixin
A2 - Ludwig, Heiko
A2 - Tu, Yicheng
A2 - Fayyad, Usama
A2 - Zhu, Xingquan
A2 - Hu, Xiaohua Tony
A2 - Byna, Suren
A2 - Liu, Xiong
A2 - Zhang, Jianping
A2 - Pan, Shirui
A2 - Papalexakis, Vagelis
A2 - Wang, Jianwu
A2 - Cuzzocrea, Alfredo
A2 - Ordonez, Carlos
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2021 IEEE International Conference on Big Data, Big Data 2021
Y2 - 15 December 2021 through 18 December 2021
ER -