Cognitive Power for Management Through Reasoning Support

Christer Carlsson

Cognitive Power for Management Through Reasoning Support

Christer Carlsson

School of Business and Economics

Research output: Chapter in Book/Conference proceeding › Published conference proceeding › Scientific › peer-review

Abstract

ISR methodologies are roadmaps for information systems research that are adapted to chosen contexts and state-of-the-art theory to develop IS support that can give best possible guidance for (often consequential) managerial decisions. The paper works out guidance for efficient, effective or explicable management decisions. The general principles and the development history – from the early days of Operational Research and Management Science to digital ecosystem platforms for management – show how requirements on ISR methodology have evolved.
An ISR methodology for the 2030’es will still rest on the decision analysis tradition to support efficient and effective managerial decisions in relevant problem-solving contexts. The flexibility and ideology of decision support systems will prevail to show how operating managers can boost performance with IS
instruments, tools and technology. Digital ecosystem platforms that support the use of reasoning artificial intelligence will continue, expand and improve on the DSS ideology.

Original language	English
Title of host publication	HICSS 59 Proceedings
Publisher	University of Hawaii press
Number of pages	10
Volume	59
Publication status	Accepted/In press - 20 Dec 2025
MoE publication type	A4 Article in a conference publication
Event	Hawaii International Conference on System Sciences - Duration: 6 Jan 2026 → 9 Jan 2026 Conference number: 59

Conference

Conference	Hawaii International Conference on System Sciences
Abbreviated title	(HICSS)
Period	06/01/26 → 09/01/26

Keywords

IS support, decision support systems,

Cite this

@inproceedings{f2fc11ef46724ba3878cbb964e37fc9d,

title = "Cognitive Power for Management Through Reasoning Support",

abstract = "ISR methodologies are roadmaps for information systems research that are adapted to chosen contexts and state-of-the-art theory to develop IS support that can give best possible guidance for (often consequential) managerial decisions. The paper works out guidance for efficient, effective or explicable management decisions. The general principles and the development history – from the early days of Operational Research and Management Science to digital ecosystem platforms for management – show how requirements on ISR methodology have evolved. An ISR methodology for the 2030{\textquoteright}es will still rest on the decision analysis tradition to support efficient and effective managerial decisions in relevant problem-solving contexts. The flexibility and ideology of decision support systems will prevail to show how operating managers can boost performance with IS instruments, tools and technology. Digital ecosystem platforms that support the use of reasoning artificial intelligence will continue, expand and improve on the DSS ideology. ",

keywords = "IS support, decision support systems,",

author = "Christer Carlsson",

year = "2025",

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T1 - Cognitive Power for Management Through Reasoning Support

AU - Carlsson, Christer

N1 - Conference code: 59

PY - 2025/12/20

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N2 - ISR methodologies are roadmaps for information systems research that are adapted to chosen contexts and state-of-the-art theory to develop IS support that can give best possible guidance for (often consequential) managerial decisions. The paper works out guidance for efficient, effective or explicable management decisions. The general principles and the development history – from the early days of Operational Research and Management Science to digital ecosystem platforms for management – show how requirements on ISR methodology have evolved. An ISR methodology for the 2030’es will still rest on the decision analysis tradition to support efficient and effective managerial decisions in relevant problem-solving contexts. The flexibility and ideology of decision support systems will prevail to show how operating managers can boost performance with IS instruments, tools and technology. Digital ecosystem platforms that support the use of reasoning artificial intelligence will continue, expand and improve on the DSS ideology.

AB - ISR methodologies are roadmaps for information systems research that are adapted to chosen contexts and state-of-the-art theory to develop IS support that can give best possible guidance for (often consequential) managerial decisions. The paper works out guidance for efficient, effective or explicable management decisions. The general principles and the development history – from the early days of Operational Research and Management Science to digital ecosystem platforms for management – show how requirements on ISR methodology have evolved. An ISR methodology for the 2030’es will still rest on the decision analysis tradition to support efficient and effective managerial decisions in relevant problem-solving contexts. The flexibility and ideology of decision support systems will prevail to show how operating managers can boost performance with IS instruments, tools and technology. Digital ecosystem platforms that support the use of reasoning artificial intelligence will continue, expand and improve on the DSS ideology.

KW - IS support, decision support systems,

M3 - Published conference proceeding

VL - 59

BT - HICSS 59 Proceedings

PB - University of Hawaii press

T2 - Hawaii International Conference on System Sciences

Y2 - 6 January 2026 through 9 January 2026

ER -

Cognitive Power for Management Through Reasoning Support

Abstract

Conference

Keywords

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