Sage Journals: Discover world-class research

Abstract

Action Planning is a workshop method for creating strategic scenarios of actions. Through the process of Action Planning, ideas of data utilization are grounded into feasible plans, i.e., scenarios, by adding related elements (stakeholders, data, analysis methods, etc.). Here, participants resolve conflicts and reduce risks in actions through the process of externalizing and serializing elements. Through the process that a participant constructs a scenario, when he/she notices the scenario inconsistent, he/she has to reject or modify the part of hypotheses where the conflict occurs. In this study, we discuss Conflict Resolution Behaviors(CRBs) and the derivation of related knowledge in the process of scenario generation by tracking the handwriting of groups and individuals. In conclusion, the inconsistency of scenarios may occur more frequently in the process of individuals. In the scenario generating process of groups, it is considered that conflict resolutions in the early stage of scenario generation reduce the occurrence of conflicts in the latter stage of scenario generation. The results suggest that an individual decision maker can generate a scenario equivalent to a scenario generated in groups, when he/she takes into account reworking costs due to inconsistency of scenarios.

Keywords

Market of data scenario handwriting Innovators Marketplace

Get full access to this article

View all access options for this article.

References

, A developer's guide to the smantic web, Springer, 2011.

Berners-Lee

, Hendler

and Lassila

, The semantic web, Scientific American, 2001.

Ministry of Economy, Trade and industry of japan, research report of servey on infrastracture development of information technology and services of japan (Survey on Data Driven Innovation) (in Japanese), 2015.

Ohsawa

, Kido

, Hayashi

and Liu

, Data jackets for synthesizing values in the market of data, 17th International Conference in Knowledge Based and Intelligent Information and Engineering Systems, Procedia Computer Science22 (2013), 709-716.

Ohsawa

, Liu

, Hayashi

and Kido

, Data jackets for externalizing use value of hidden datasets, 18th International Conference in Knowledge Based and Intelligent Information and Engineering Systems, Procedia Computer Science35 (2014), 946-953.

Liu

, Ohsawa

and Suda

, Valuation of data through use-scenarios in innovators' marketplace on data jackets, IEEE International Conference on Data Mining (2013), 1st Workshop on Market of Data, (2013), 694-701.

Ohsawa

, Kido

, Hayashi

, Liu

and Komoda

, Innovators marketplace on data jackets, for valuating, sharing, and synthesizing data, Knowledge-based Information Systems in Practice, Springer-Verlag 30 (2015), 83-97.

Ohsawa

, Benson

N.E.

and Yachida

, KeyGraph: Automatic indexing by co-occurrence graph based on building construction metaphor, IEEE Advanced Digital Library Conference 1998 (1998), 12-18.

Hayashi

and Ohsawa

, Processing combinatorial thinking: Innovators marketplace as role-based game plus action planning, International Journal of Knowledge and Systems Science4(3) (2013), 14-38.

10.

Hayashi

and Ohsawa

, Estimatin of novelty assessment of strategic scenarios using relativeness, IEEE International Conference on Data Mining 2014 2nd Workshop on Market of Data, (2014), 441-446.

11.

Hayashi

and Ohsawa

, Relationship between externalized knowledge and evaluation in the process of creating strategic scenarios, Open Journal of Information Systems2(1) (2015), 29-40.

12.

Ohsawa

and Tsumoto

, Chance discoveries in real world decision making, Studies in Computational Intelligence, Springer 30 (2006).

13.

Kushiro

, Matsuda

, Torikai

and Takahara

, A system design method based on interaction between logic and data sets, IEEE International Conference on Data Mining 2014 2nd Workshop on Market of Data (2014), 462-469.

14.

Magnani

, Abduction, reason, and science: Processes of discovery and explanation, Kluwer Academic Plenum Publishers, New York, 2001.

15.

McDermott

and Doyle

, Non-monotonic logic I, Artificial Intelligence13(1-2) (1980), 41-72.

16.

Koga

and Aoyama

, Product behavior and topological structure design system by step-by-step decomposition, ASME 2004 Design Engineering Technical Conferences and Computers and Information in Engineering Conference, (2004), 425-437.

17.

Mueller

P.A.

and Oppenheimer

D.M.

, The pen is mightier than the keyboard: Advantages of longhand over laptop note taking, Psychological Science25(6) (2014).

18.

Cox

and Brna

, Supporting the use of external representations in problem solving, Journal of Artificial Intelligence in Education6(2) (1995), 239-302.

19.

Larkin

J.H.

and Simon

H.A.

, Why a diagram is (sometimes) worth ten thousand words, Cognitive Science11(1) (1987), 65-100.

20.

Ikeda

and Ohsawa

, An analysis of insight process for concept creation using handwriting features, European Conference on Artificial Intelligence 2012 The 1st European Workshop on Chance Discovery and Data Synthesis, (2012), 31-36.

21.

Ikegami

and Ohsawa

, Modeling of writing and thinking process in handwriting by digital pen analysis, IEEE International Conference on Data Mining 2014 (2014), 447-454.

Comparison of Conflict Resolution Behavior and scenario generating process in group and individual by handwriting process analysis

Abstract

Keywords

Get full access to this article

References