The wisdom hierarchy: representations of the DIKW hierarchy

By Jennifer E. Rowley. Journal of information science, 2007

1,729 citations recorded by the source corpus.

Subfields: Information Systems and Management, Management Information Systems, Management Science and Operations Research

View Paper: https://www.semanticscholar.org/paper/bdf94027d5410b211411157ad7aacfca05aea53d

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Citations in the corpus

Human resources for Big Data professions: A systematic classification of job roles and required skill sets (2017, background): “In fact they constitute the base components of both the Knowledge Pyramid ( Song & Zhu, 2015 ) and the Data-Information-Knowledge-Wisdom hierarchy ( Rowley, 2007 ).”
The smart circular economy: A digital-enabled circular strategies framework for manufacturing companies (2020, background): “As such, information is contained within descriptions and provides answers to questions raised by words such as who , what , where , and when (Ackoff, 1989; Rowley, 2007).”
Finding and Characterizing Information Warfare Campaigns (2020, methodology): “Rowley succinctly summarizes this by saying the data is simply bits, information provides the what, knowledge provides how, and wisdom provides why [199].”
Participatory approach for developing knowledge on organic rice farming: Management strategies and productive performance (2020, methodology): “The main entities of the DIKW hierarchy, and the processes of shift among levels, as reported in the Rowley (2007) and Wiliams (2014) reviews, are described below.”
Industry 4.0: A Bibliometric Review of Its Managerial Intellectual Structure and Potential Evolution in the Service Industries (2019, background): “The availability of data, on the basis of the wisdom hierarchy (Rowley, 2007), will create opportunities to generate new business knowledge.”
Extracting and understanding urban areas of interest using geotagged photos (2015, methodology): “Learning from the DIKW (data, information, knowledge, and wisdom) Pyramid (Rowley, 2007), the proposed framework aims at deriving knowledge from data following a bottom-up paradigm.”
The role of digital technologies for the service transformation of industrial companies (2018, background): “discuss their features in relation to the DIKW hierarchy (Rowley 2007).”
The knowledge pyramid: a critique of the DIKW hierarchy (2009, background): “This is relevant, or usable, or significant, or meaningful, or processed, data (see [1] Section 5.”