Big Data Oriented Soft-Technologies and ICT Management

Abstract

Numerous Soft-Technologies (So-Techs) such as Information Retrieval (IR) systems are found on the Internet. The level of dynamism the Internet exhibits makes it rather tricky to manage these technologies. Part of this management as an IT concern is to evaluate and improve them towards better performance. Interestingly, evaluating IR systems come with lots of challenges, one of which is the existence of varying opinions on how IR evaluation should be done. Therefore, the choice of what methods and philosophy to adopt and/or adapt becomes necessary. With much evidence, a field advances not only by deciding on a single best compromise, but through academic discourse. This backdrop motivates the intention of this study, which is not to suggest a single best evaluation method. Therefore, one of many opinions on the evaluation of an example of soft-technology with Big data-orientation is presented. The study highlights the thrust of user-oriented soft-technologies’ management from an evaluative perspective. It then concludes that the success of soft-technologies is measurable not only from the perspective of the progress of technology but also from users’ requirements and other user-oriented concerns.

Suggested citation

Bernard Akhigbe , Babajide Afolabi (2022). Big Data Oriented Soft-Technologies and ICT Management African Journal of Science Policy and Innovation Management, 3(1). https://doi.org/10.69798/34846191

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