Chapter 5 Conclusion
5.3 Limitations and Future Research
Even though we made every effort to design and implement the research effectively, it still had limitations. First, the autonomous car was a novel technological issue, and many enterprises and manufacturers began to research and develop it only in recent years, which meant that abundant official and reliable data was not available.
Additionally, owing to the difficulty of acquiring the primary internal data from the case companies, this research mainly depended on online secondary data. To ensure the quality and reliability of the data, the research data was primarily obtained from the official websites and the official testing videos and was supplemented by abundant technology-related articles and news.
Next, this research, from the perspective of decision problems and IT ability, provided a comprehensive understanding of realizing the characteristics of diverse IT roles and the applicable decision problems. However, according to our research framework, there were mainly two factors, IT and human, affecting decision-making.
In this research, we focused on the characteristics and ability of the IT roles, and seldom described the human factor. Nevertheless, even for the same decision problem, subjective factors such as the experiences, preferences and personalities of the decision makers might lead to the different decisions (Weinberg, 1986; Drucker, 2001). Drivers
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with different personalities had different driving habits and decision-making preferences, so that different decisions might be generated under the same circumstances. For example, when a road traffic signal light turned yellow, some drivers would speed up and go through the intersection, and some drivers would stop to wait for the next green light. Due to the different decision-making criteria and preferences, people might make different decisions for choosing applicable IT; therefore, future research could further explore the applicable IT roles in driving decisions with different types of drivers/decision makers.
In addition, considering that information technology was continuously progressing and advancing, this research selected the autonomous car as the study case, and from the cases we discovered two types of IT roles. Nevertheless, different IT applications in different industries with different decision makers might create more variation in IT roles distinct from the autonomous car. Future research could apply this research framework to different industries to discover more IT roles.
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