Disrupting evaluation? Emerging technologies and their implications for the evaluation industry

Author:

Nielsen Steffen Bohni1ORCID

Affiliation:

1. Danish National Research Centre for the Working Environment Kobenhavn Denmark

Abstract

AbstractThis article surveyed different emerging technologies (ET), in particular artificial intelligence, and their burgeoning application in the evaluation industry. Evidence suggests that evaluators have been relatively slow in adopting ET in their practice. However, more recent data suggest that ET adoption is increasing. This article then analyzed if, and how, ET affect the evaluation industry and evaluation practice. The article finds that program evaluation is one of several competing forms of knowledge production informing decision‐making, particularly in the government and not‐for‐profit sectors. Therefore, evaluation faces a number of challenges stemming from ET. In this article, it is argued that evaluators must, albeit critically, embrace ET. Most likely, ET will complement evaluation practice and, in some instances, displace human tasks.

Publisher

Wiley

Subject

Management Science and Operations Research,Strategy and Management,Education

Reference45 articles.

1. Computational Social Science

2. Estimating the common agricultural policy milestones and targets by neural networks

3. *Bruce K. Gandhi V. J. &Vandelanotte J.(2020).Emerging technologies and approaches in monitoring evaluation research and learning for international development programs.MERL Tech Report # 4.https://merltech.org/wp‐content/uploads/2020/07/4_MERL_Emerging‐Tech_FINAL_7.19.2020.pdf

4. Integrating Big Data Into Evaluation: R Code for Topic Identification and Modeling

5. Producing ‘good enough’ automated transcripts securely: Extending Bokhove and Downey (2018) to address security concerns;Da Silva J.;Methodological Innovations,2021

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