The rationality of human behaviour and accuracy in information technology management
An overview of the motivation and objectives of this dissertation is provided in the first chapter.Additionally, the first section presents the main research question that guides this dissertation.After that, the systematic literature on IT management is introduced, which makes up Chapter Two of this dissertation.Afterwards, each of the three studies conducted as a part of this dissertation is introduced.Lastly, the first Chapter ends with a conclusion to the introduction.Chapter 1 reduced waste, fraud, waiting times, and the amount of labour required by humans in the primary fast-food ordering and hamburger preparation processes.A fast food restaurant's ordering procedure is simply one illustration of an information process in an organisation.It is used to demonstrate how widespread the benefits of managing information technology (IT) are in terms of increased productivity and improved services.Of course, hamburger restaurants are only a small subset of the organisations in our society.It is commonly known that IT is highly relevant in our current society.This can also be deducted from the size of worldwide IT spending, which will be an estimated $5,1 trillion in 2024 (Gartner [2023]).In 2017, 93% of European workplaces used computers and digital technology is applied for managing information in all types of jobs, including in sectors not traditionally related to digitisation such as farming, health care, and construction (Commission [2017]).The European Commission has set the target of pushing the 54% of the population who possess at least basic digital skills in 2021 to 80% in 2030 (Commission [2022]).Or, as Barisic et al. [2018] state, 'IT transforms all sectors of the economy and influences society in many different ways', and according to Zong and Wang [2022] 'IT profoundly affects the economic development of a country or region'.Industry 1.0 (mechanical production using water and steam) and 2.0 (mass production using electrical energy) from the nineteenth and twentieth centuries are followed by IT-heavy successors: industry 3.0 (IT systems) and 4.0, that leverages the Internet of Things (IoT), Big Data, Artificial Intelligence (AI), and Cloud Computing (Coppolino et al. [2021]; Demir et al. [2019]).Industry 5.0 is, although not yet clearly defined, also forecast to have a strong focus on IT over the harmonisation of working space and efficiency of humans and technology (Maddikunta et al. [2022]).This dissertation is placed in the field of 'IT Management'.The management of IT infrastructure and the assistance it provides organisations in controlling the risks and limitations associated with IT operations are widely acknowledged objectives of IT management (Hundal et al. [2022]).In addition to these operational tasks, IT management also involves strategic components such as product and service et al. [2016]) was preferred above covariance-based models such as LISREL and Artificial Neural Networks (Hackl and Westlund [2000]) as it deals more robustly with multicollinearity since the model reduces the biases of the estimates of large coefficients (Cassel and Westlund [1999]).PLS has shown this robustness in Monte Carlo simulations (Westlund and Parmler [2008]).Furthermore, PLS is shown to be robust to skewed data (Cassel and Westlund [1999]).Eleven out of twelve hypotheses on the Theory of Planned Behaviour were supported.There was just one hypothesis that could not be proven to be significant: that attitude regarding Project Management increases the intention to use PM.The results indicate that Subjective Norm has a significantly higher predictive power on intentions than Perceived Behavioural Control, which is contrary to the initial expectation.From a scientific perspective, this study confirms the robustness of TPB for describing Behaviour in IT management.The findings of this study provide practitioners with clear instruments to steer the behaviour of IT management.
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