Supporting wicked problems with procedural decision support systems

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/CongresprocedureConferentiebijdrageAcademicpeer review

1 Citaat (Scopus)

Uittreksel

Wicked problems are immensely complex problems that do not lend themselves to resolution through traditional problem-solving approaches. This capriciousness is particularly troublesome for organizations that encounter such problems due to their very nature being highly prone to fluctuation. Further, any attempts to resolve wicked problems tend to be irreversible - for better or for worse. Decision support systems (DSSs) have long been hailed as a panacea of sorts for highly complex problems due to their ability to assist in storing, retrieving, and manipulating information to arrive at a decision. However, traditional DSSs, being originally aimed at semi-structured problems, are rendered almost ineffectual in the face of the high levels of complexity inherent in wicked problems. Consequently, this paper outlines the argument that posits procedural rationality as an alternative underlying mechanism for developing DSSs for wicked problems. An empirical literature review is utilized to locate the required characteristics of such a DSS, to evaluate cognizance thereof in the research, and to present an integrated model for the design, development, and utilisation of procedural DSSs specifically for resolution of wicked problems.
Originele taal-2Engels
TitelSAICSIT 2016 : Proceedings of the 2016 Annual Research Conference of the South African Institute of Computer Scientists and Information Technologists : Innovate, Elevate : 26-28 September 2016, Johannesburg, South Africa
RedacteurenF.F. Blauw
Plaats van productieNew York
UitgeverijAssociation for Computing Machinery, Inc
Aantal pagina's10
ISBN van elektronische versie978-1-4503-4805-8
DOI's
StatusGepubliceerd - sep 2016
Extern gepubliceerdJa
Evenement2016 Annual Research Conference of the South African Institute of Computer Scientists and Information Technologists (SAICSIT 2016) - Johannisburg, Zuid-Afrika
Duur: 26 sep 201628 sep 2016

Congres

Congres2016 Annual Research Conference of the South African Institute of Computer Scientists and Information Technologists (SAICSIT 2016)
Verkorte titelSAICSIT 2016
LandZuid-Afrika
StadJohannisburg
Periode26/09/1628/09/16

Vingerafdruk

Wicked problems
Decision support systems
Literature review
Design and development
Procedural rationality
Problem solving
Fluctuations
Integrated model
Nature

Citeer dit

Pretorius, C. (2016). Supporting wicked problems with procedural decision support systems. In F. F. Blauw (editor), SAICSIT 2016 : Proceedings of the 2016 Annual Research Conference of the South African Institute of Computer Scientists and Information Technologists : Innovate, Elevate : 26-28 September 2016, Johannesburg, South Africa [33] New York: Association for Computing Machinery, Inc. https://doi.org/10.1145/2987491.2987515
Pretorius, Carianne. / Supporting wicked problems with procedural decision support systems. SAICSIT 2016 : Proceedings of the 2016 Annual Research Conference of the South African Institute of Computer Scientists and Information Technologists : Innovate, Elevate : 26-28 September 2016, Johannesburg, South Africa. redacteur / F.F. Blauw. New York : Association for Computing Machinery, Inc, 2016.
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Pretorius, C 2016, Supporting wicked problems with procedural decision support systems. in FF Blauw (redactie), SAICSIT 2016 : Proceedings of the 2016 Annual Research Conference of the South African Institute of Computer Scientists and Information Technologists : Innovate, Elevate : 26-28 September 2016, Johannesburg, South Africa., 33, Association for Computing Machinery, Inc, New York, 2016 Annual Research Conference of the South African Institute of Computer Scientists and Information Technologists (SAICSIT 2016), Johannisburg, Zuid-Afrika, 26/09/16. https://doi.org/10.1145/2987491.2987515

Supporting wicked problems with procedural decision support systems. / Pretorius, Carianne.

SAICSIT 2016 : Proceedings of the 2016 Annual Research Conference of the South African Institute of Computer Scientists and Information Technologists : Innovate, Elevate : 26-28 September 2016, Johannesburg, South Africa. redactie / F.F. Blauw. New York : Association for Computing Machinery, Inc, 2016. 33.

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/CongresprocedureConferentiebijdrageAcademicpeer review

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AB - Wicked problems are immensely complex problems that do not lend themselves to resolution through traditional problem-solving approaches. This capriciousness is particularly troublesome for organizations that encounter such problems due to their very nature being highly prone to fluctuation. Further, any attempts to resolve wicked problems tend to be irreversible - for better or for worse. Decision support systems (DSSs) have long been hailed as a panacea of sorts for highly complex problems due to their ability to assist in storing, retrieving, and manipulating information to arrive at a decision. However, traditional DSSs, being originally aimed at semi-structured problems, are rendered almost ineffectual in the face of the high levels of complexity inherent in wicked problems. Consequently, this paper outlines the argument that posits procedural rationality as an alternative underlying mechanism for developing DSSs for wicked problems. An empirical literature review is utilized to locate the required characteristics of such a DSS, to evaluate cognizance thereof in the research, and to present an integrated model for the design, development, and utilisation of procedural DSSs specifically for resolution of wicked problems.

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Pretorius C. Supporting wicked problems with procedural decision support systems. In Blauw FF, redacteur, SAICSIT 2016 : Proceedings of the 2016 Annual Research Conference of the South African Institute of Computer Scientists and Information Technologists : Innovate, Elevate : 26-28 September 2016, Johannesburg, South Africa. New York: Association for Computing Machinery, Inc. 2016. 33 https://doi.org/10.1145/2987491.2987515