TY - GEN
T1 - Determinants of intention to use project management information system by agile project teams in the information technology industry in Sri Lanka: An extension of the classic technology acceptance model
AU - Ranasinghe, Vishmi
AU - Jayasinghe, Shan
AU - Peiris, Piyumika
PY - 2024/2/21
Y1 - 2024/2/21
N2 - Effective project management is crucial for success in today's fast-paced information technology industry. Agile methodologies have gained prominence for adaptability, but managing multiple agile projects can be complex. Project management information systems offer a solution, yet their adoption remains limited, particularly in Sri Lanka. This research, guided by the technology acceptance model, aims to identify the determinants of intention to use project management information systems by agile project teams in the Sri Lankan information technology sector. The objectives are to identify the factors driving the intention to use project management information systems in agile project teams from the past literature and to shortlist and discuss the most relevant factors for the Sri Lankan context with academia and industry experts' opinions. The study highlights the crucial role of perceived usefulness, ease of use, social pressure, performance expectancy, and perceived self-efficacy in influencing the intention to use project management information systems. Despite the potential of project management information systems to enhance project management, limited interest in different project management information systems and technical expertise hinders their adoption in Sri Lanka. Addressing this issue is vital for improving project performance, collaboration, and overall effectiveness within the information technology industry. The research bridges the gap that hinders the literature about the user's intention to use project management information systems, based on the factors that determine the intention to use various information systems, ultimately supporting the successful integration of project management information systems into agile project management practices.
AB - Effective project management is crucial for success in today's fast-paced information technology industry. Agile methodologies have gained prominence for adaptability, but managing multiple agile projects can be complex. Project management information systems offer a solution, yet their adoption remains limited, particularly in Sri Lanka. This research, guided by the technology acceptance model, aims to identify the determinants of intention to use project management information systems by agile project teams in the Sri Lankan information technology sector. The objectives are to identify the factors driving the intention to use project management information systems in agile project teams from the past literature and to shortlist and discuss the most relevant factors for the Sri Lankan context with academia and industry experts' opinions. The study highlights the crucial role of perceived usefulness, ease of use, social pressure, performance expectancy, and perceived self-efficacy in influencing the intention to use project management information systems. Despite the potential of project management information systems to enhance project management, limited interest in different project management information systems and technical expertise hinders their adoption in Sri Lanka. Addressing this issue is vital for improving project performance, collaboration, and overall effectiveness within the information technology industry. The research bridges the gap that hinders the literature about the user's intention to use project management information systems, based on the factors that determine the intention to use various information systems, ultimately supporting the successful integration of project management information systems into agile project management practices.
U2 - 10.1109/ICARC61713.2024.10499786
DO - 10.1109/ICARC61713.2024.10499786
M3 - Conference contribution
SN - 979-8-3503-8487-1
T3 - 2024 4th International Conference on Advanced Research in Computing (ICARC)
SP - 294
EP - 299
BT - 2024 4th International Conference on Advanced Research in Computing (ICARC)
A2 - Ishanka, U.A.P.
A2 - Herath, G.A.C.A.
A2 - Prasanth, Senthan
A2 - Banujan, Kuhaneswaran
PB - IEEE
T2 - 4th International Conference on Advanced Research in Computing
Y2 - 21 February 2024 through 24 February 2024
ER -