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Please use this identifier to cite or link to this item: http://hdl.handle.net/10791/286

Title: Determinant of Analytics Adoption in K-12 Organisations
Authors: Yang, Patrick
Supervisor(s): Devine, Kay (Faculty of Business); Igonor, Andy (Faculty of Business)
Examining Committee: Pepler, Eileen (Faculty of Business)
Degree: Doctor of Business Administration (DBA)
Department: Faculty of Business
Keywords: Adoption
Issue Date: 6-Feb-2019
Abstract: In times of increasing calls for controlling public spending, evidence-based decision making and capabilities in data analysis informing organisational choices align well with improving efficiency. However, technology adoption needs a strategy as part of the conditions for analytics to gain a lasting foothold in organisations. Short-term considerations and a search for expediency can take precedence over the implementation complexities and efforts to gain knowledge in the proficient use of solutions. This research investigates the adoption of analytics in the publicly-funded education system of the province of Ontario in Canada. The relationship between themes of strategy, adoption, and analytics is explored from the perspective of Ontario school districts leaders in education. While previous research in the Ontario K-12 setting involved usage of technology in the classroom, this study extends the exploration of analytics adoption to an organisational setting. Data collection consisted of questionnaires and surveys based on two case studies conducted in different school districts. External evidence and observations were used to complement the empirical data. A total of six hypotheses were developed from the research questions and tested. All hypotheses were rejected on the basis of their t Statistic, except one complying with the theory. A modified UTAUT model remained consistent with the theory in its results and took into account the assumptions of this study. However, an unexpected result was the strength of effort expectancy having twice the impact of either performance expectancy and social influence on behavioural intention. Facilitating conditions with the moderating effects of age, gender, experience, and willingness to use were not found to vi be significant. Contradicting interviewees who judged the issue relevant, school enrolment size was also not statistically significant in the inferential analysis results. The results of the study suggest that strategy is central to the adoption of analytics. To assist adoption, the strategy should insist on extensive consultation with end-users and training by data professionals. The study also challenges the applicability of the basic UTAUT model for adoption of analytics in school districts by proposing an alternative model appropriate for school districts and the exploration of the topic and the themes.
Graduation Date: Jun-2019
URI: http://hdl.handle.net/10791/286
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