The Impact of Information Technology Infrastructure Flexibility and Behavioral Biases on Investment Decision Making

Mohmed Y. Mohmed Al-Sabaawi & Bassam A. Alyouzbaky

International Journal of Enterprise Information Systems2022https://doi.org/10.4018/ijeis.313050article
AJG 1ABDC C
Weight
0.40

What the paper says

Understanding the effects of information technology infrastructure flexibility (ITIF) and behavioural biases on investment decisions will help investors make more informed choices. Due to a lack of investment and decision-maker biases, Iraqi universities' IT infrastructure is not well developed, resulting in low performance. However, few studies look into the causes of this phenomenon. This study aimed to investigate the impact of ITIF and behavioural biases on investment decision making and their impact on organisations' performance. A total of 209 valid responses from decision-makers in private universities of the Republic of Iraq are analyzed. A set of statistical analyzes are performed with SmartPLS software. The results show that there is a significant impact of ITIF factors and behavioural biases on investment decision making. Also, investment decision making influences organizational performance. The research confirms the significance of ITIF and behavioural biases as critical indicators of organizational strategic decision making.

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https://doi.org/https://doi.org/10.4018/ijeis.313050

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@article{mohmed2022,
  title        = {{The Impact of Information Technology Infrastructure Flexibility and Behavioral Biases on Investment Decision Making}},
  author       = {Mohmed Y. Mohmed Al-Sabaawi & Bassam A. Alyouzbaky},
  journal      = {International Journal of Enterprise Information Systems},
  year         = {2022},
  doi          = {https://doi.org/https://doi.org/10.4018/ijeis.313050},
}

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Evidence weight

0.40

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.14 × 0.4 = 0.06
M · momentum0.80 × 0.15 = 0.12
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.