Abstract
This research investigates the factors influencing the decision to adopt Automatic Number Plate Recognition (ANPR) technology in New Zealand organizations. We interviewed participants from six New Zealand organizations. The findings suggest that the key reason for adopting ANPR was the ability of the technology to solve an operational problem and achieve a specific organizational goal. The perceived costs of the technology and level of use associated with using ANPR were also contributing factors. Organizations that had identified a cost effective business case for adopting ANPR had either adopted or were in the process of adopting ANPR technology. The adoption by international organizations and the effect on social systems further explain the reluctance of organizations to adopt ANPR as a new technology. Other factors that were not identified prior to this research include legal concerns over privacy and using ANPR results as enforceable evidence, the limited availability of slack resources and concerns that ANPR could inadvertently change the way the organization operates.
Recommended Citation
Foy, Alex; Goh, Tiong T.; and Zhang, Honghong, "FACTORS INFLUENCING THE DECISION TO ADOPT MACHINE LEARNING TECHNOLOGY: A CASE OF AUTOMATIC NUMBER PLATE RECOGNITION SYSTEMS" (2019). CONF-IRM 2019 Proceedings. 39.
https://aisel.aisnet.org/confirm2019/39