DECISION MAKING AND INNOVATION DIAGNOSIS WITHIN AERO-SPACE SECTOR

The triggering cause of the present research is given by the high complexity of the interdisciplinary technical projects carried out by means of Systems Engineering (SE) methodology, and implicitly by the well acknowledged needs in the field for more advanced decision making tools to increase the projects efficiency and innovativeness. This study takes into consideration a novel theoretical decision making and knowledge creation diagnosis model for SE, entitled DiagnoSE, which is based on the Cognitive-Emotional and Explicit-Tacit knowledge dyads, for applying it within Romanian aero-space sector, implicitly upon 197 SE decision makers, for contributing to the Romanian SE management efficiency. Based on the principle that distinguishes the first dyad as a mechanism for accessing knowledge from the second dyad, and on numerically quantified pairwise comparisons, there was diagnosed the Romanian aero-space SE professionals’ perceptions on decisions making, and also knowledge creation dynamics within interdisciplinary teams. The quantitative research revealed notably results especially by the high weight of Emotional Criterion with respect to Romanian SE experts’ preferences for accessing their own experiences, and furthermore, by the need for achieving innovations through continuous knowledge spirals. The herein study brings a practical and unique image upon the Romanian interdisciplinary working environment based on SE in the aero-space sector by applying DiagnoSE instrument in order to determine and analyze the decision making and knowledge creation aspects of paramount importance in enhancing the Romanian SE teams’ management, and even furthermore, in providing a basis for other researches regarding SE based working environments in aero-space sectors and not merely.

[1]  Andrew Ortony,et al.  The Cognitive Structure of Emotions , 1988 .

[2]  A. Bechara The role of emotion in decision-making: Evidence from neurological patients with orbitofrontal damage , 2004, Brain and Cognition.

[3]  Colin Camerer,et al.  Neuroeconomics: How Neuroscience Can Inform Economics , 2005 .

[4]  C. Bratianu,et al.  Emergence of the Cognitive-Emotional Knowledge Dyad , 2009 .

[5]  Mark T. Keane,et al.  Cognitive Psychology: A Student's Handbook , 1990 .

[6]  nasa,et al.  NASA Systems Engineering Handbook , 2007 .

[7]  I. Nonaka,et al.  How Japanese Companies Create the Dynamics of Innovation , 1995 .

[8]  Jonathan D. Cohen,et al.  Neuroeconomics: cross-currents in research on decision-making , 2006, Trends in Cognitive Sciences.

[9]  William B. Rouse Wiley Series in Systems Engineering and Management , 2005 .

[10]  Chun-Ming Chang,et al.  Factors affecting knowledge management success: The fit perspective , 2012, J. Knowl. Manag..

[11]  Thomas L. Saaty,et al.  Theory and Applications of the Analytic Network Process: Decision Making With Benefits, Opportunities, Costs, and Risks , 2005 .

[12]  Cristian Vizitiu,et al.  Space based mobile telemedicine assisted by specific Systems Engineering approach , 2013, 2013 6th International Conference on Recent Advances in Space Technologies (RAST).

[13]  O. Branzei,et al.  Strategic pathways to product innovation capabilities in SMEs , 2006 .

[14]  Kevin Forsberg,et al.  The Relationship of Systems Engineering to the Project Cycle , 1992 .

[15]  Dan Hill Emotionomics: Leveraging Emotions for Business Success , 2009 .

[16]  Marc L. Resnick,et al.  THE EFFECT OF AFFECT: DECISION MAKING IN THE EMOTIONAL CONTEXT OF HEALTH CARE , 2012 .

[17]  Alexander Kossiakoff,et al.  Systems Engineering Principles and Practice , 2020 .

[18]  Cristian Vizitiu,et al.  The Responsibility of Telemedicine Focused Organizations in regards to creating Compliant end Users Products and Services , 2014 .

[19]  P. Senge The fifth discipline : the art and practice of the learning organization/ Peter M. Senge , 1991 .

[20]  Minna Saunila,et al.  A conceptual framework for the measurement of innovation capability and its effects , 2012 .

[21]  Cristian Vizitiu,et al.  Conceptual Diagnosis Model Based on Distinct Knowledge Dyads for Interdisciplinary Environments , 2014 .