TY - GEN
T1 - Artificial Intelligence System Development in terms of People-Process-Data-Technology (2PDT)
T2 - 44th International Conference on Information Systems: Rising like a Phoenix: Emerging from the Pandemic and Reshaping Human Endeavors with Digital Technologies, ICIS 2023
AU - Monshizada, Sahber
AU - Sarbazhosseini, Hamed
AU - Mohammadian, Masoud
N1 - Publisher Copyright:
Copyright © 2023 Sahber Monshizada, Hamed Sarbazhosseini & Masoud Mohammadian.
PY - 2023/12
Y1 - 2023/12
N2 - Artificial Intelligence (AI) System Development (SD) is an organisational activity characterised by diverse opinion and an industry approach with limited research reporting the outcome of proposed frameworks. This paper aims to analyse the outcome of a previously proposed framework in terms of People-Process-Data-Technology (2PDT). We argue that organisations can improve their effectiveness by promoting an agile organisational culture, and better data management. The findings suggests that people and culture are critical in taking timely actions, and that use of quality data and development of ethical and explainable AI systems are required. In this paper, we evaluate the use of 2PDT by investigating nine case-studies and demonstrate its effectiveness in the formulation of research design, data collection and analysis. The findings highlight that the 2PDT offers a useful conceptual framework examining this phenomenon due to its characteristics of agility, rigour, dynamicity, and completeness.
AB - Artificial Intelligence (AI) System Development (SD) is an organisational activity characterised by diverse opinion and an industry approach with limited research reporting the outcome of proposed frameworks. This paper aims to analyse the outcome of a previously proposed framework in terms of People-Process-Data-Technology (2PDT). We argue that organisations can improve their effectiveness by promoting an agile organisational culture, and better data management. The findings suggests that people and culture are critical in taking timely actions, and that use of quality data and development of ethical and explainable AI systems are required. In this paper, we evaluate the use of 2PDT by investigating nine case-studies and demonstrate its effectiveness in the formulation of research design, data collection and analysis. The findings highlight that the 2PDT offers a useful conceptual framework examining this phenomenon due to its characteristics of agility, rigour, dynamicity, and completeness.
KW - Artificial Intelligence System Development
KW - Evaluating the 2PDT Framework
KW - Government Case Studies
UR - https://aisel.aisnet.org/acis2023/
UR - https://acis.aaisnet.org/acis2023/
UR - http://www.scopus.com/inward/record.url?scp=85200117488&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:85192518203
T3 - International Conference on Information Systems, ICIS 2023: "Rising like a Phoenix: Emerging from the Pandemic and Reshaping Human Endeavors with Digital Technologies"
SP - 1
EP - 14
BT - International Conference on Information Systems, ICIS 2023
A2 - Richter, Shahper
A2 - Winikoff, Michael
A2 - Richter, Alexander
A2 - Tate, Mary
A2 - Bandara, Wasana
A2 - Mirza, Farhaan
PB - Association for Information Systems
Y2 - 10 December 2023 through 13 December 2023
ER -