Emotional Business Intelligence

The domain of Emotional Business Intelligence (EBI) aims to support business-relevant emotional and emotion-aware decisions in addition to rational decision making. EBI originates from three root domains: Emotional Business, Emotional Intelligence and Business Intelligence (BI). In this paper we emphasize emotional empowerment of the traditional BI function; outline its main characteristics as a business working model of an emotionally smart, continuously learning organization; and introduce a first candidate of the EBI Toolkit, the FeelingsExplorer (FE). FE is a mash-up browser based on 4i (“ForEye”) technology, capable of visualizing objects in an emotional semantic space and thereby supporting decision making on emotional grounds. It takes metadata as input and visualizes the personalized “emotional similarity” of products, services, and customers. Different scenarios for FE application and overall implications of EBI for business and human technology are discussed.

[1]  Douglas C. Engelbart,et al.  Augmenting human intellect: a conceptual framework , 1962 .

[2]  Vagan Y. Terziyan,et al.  SmartResource - Proactive Self-Maintained Resources in Semantic Web: Lessons Learned , 2008 .

[3]  R. Kaplan,et al.  The balanced scorecard--measures that drive performance. , 2015, Harvard business review.

[4]  J. Velásquez Modeling Emotion-Based Decision-Making , 1998 .

[5]  Travis Bradberry,et al.  Emotional Intelligence 2.0 , 2009 .

[6]  Sam Bucolo,et al.  Using a design led approach to emotional business modelling , 2012 .

[7]  Oleksiy Khriyenko CONTEXT-SENSITIVE VISUAL RESOURCE BROWSER , 2008 .

[8]  Norbert Bischof,et al.  Das Rätsel Ödipus , 1985 .

[9]  Sacha Helfenstein,et al.  Increasingly emotional design for growingly pragmatic users? A report from Finland , 2012, Behav. Inf. Technol..

[10]  Oleksiy Khriyenko,et al.  SIMILARITY/CLOSENESS-BASED RESOURCE BROWSER , 2009 .

[11]  P. Livet Rational choice, neuroeconomy and mixed emotions , 2010, Philosophical Transactions of the Royal Society B: Biological Sciences.

[12]  E. Hirschman,et al.  The Experiential Aspects of Consumption: Consumer Fantasies, Feelings, and Fun , 1982 .

[13]  Edward Chace Tolman Wahrnehmung und Gegenstandswelt--Grundlegung einer Psychologie vom Gegenstand her. , 1935 .

[14]  J. C. R. Licklider,et al.  Man-Computer Symbiosis , 1960 .

[15]  A. K. Basu A Theory of Decision-Making , 1973, The Journal of Sociology & Social Welfare.

[16]  D Kahneman,et al.  On the reality of cognitive illusions. , 1996, Psychological review.

[17]  P. Salovey,et al.  Emotional intelligence as a standard intelligence. , 2001, Emotion.

[18]  Jie Lu,et al.  A Situation Retrieval Model for Cognitive Decision Support in Digital Business Ecosystems , 2013, IEEE Transactions on Industrial Electronics.

[19]  Evangelos Grigoroudis,et al.  Multicriteria Decision Aid and Artificial Intelligence: Links, Theory and Applications , 2013 .

[20]  Francisco Conejo Unconscious Branding: How Neuroscience Can Empower (and Inspire) Marketing , 2014 .

[21]  Rajendra Akerkar,et al.  Toward Evolving Knowledge Ecosystems for Big Data Understanding , 2013 .

[22]  Oleksiy Khriyenko,et al.  End-user Facilitated Interoperability in Internet of Things: Visually-enriched User-assisted Ontology Alignment , 2013 .

[23]  Allen Newell,et al.  The model human processor: An engineering model of human performance. , 1986 .

[24]  Sacha Helfenstein,et al.  Product meaning, affective use evaluation, and transfer : a preliminary study , 2005 .

[25]  Simon French,et al.  Decision Making: Descriptive, Normative, and Prescriptive Interactions , 1990 .

[26]  Artem Katasonov,et al.  Global Understanding Environment: Applying Semantic and Agent Technologies to Industrial Automation , 2009 .

[27]  Marc Hassenzahl,et al.  User experience - a research agenda , 2006, Behav. Inf. Technol..

[28]  Mitsuo Nagamachi,et al.  Innovations of Kansei Engineering , 2016 .

[29]  J. H. Gilmore,et al.  Welcome to the experience economy. , 1998, Harvard business review.

[30]  Jennifer Healey,et al.  Toward Machine Emotional Intelligence: Analysis of Affective Physiological State , 2001, IEEE Trans. Pattern Anal. Mach. Intell..

[31]  J. Stainer,et al.  The Emotions , 1882, Nature.

[32]  Artem Katasonov,et al.  Smart Semantic Middleware for the Internet of Things , 2008, ICINCO-ICSO.

[33]  R. Verganti Design, Meanings, and Radical Innovation: A Metamodel and a Research Agenda* , 2008 .

[34]  D. E. Bell,et al.  Decision Making: DESCRIPTIVE, NORMATIVE, AND PRESCRIPTIVE INTERACTIONS IN DECISION MAKING , 1988 .

[35]  D. Goleman Working with Emotional Intelligence , 1998 .

[36]  Aditya Kalyanpur,et al.  Automatic knowledge extraction from documents , 2012, IBM J. Res. Dev..

[37]  Rosalind W. Picard Affective Computing , 1997 .

[38]  B. Lev Intangibles: Management, Measurement, and Reporting , 2001 .

[39]  Elena Alfaro,et al.  An Emotional Business , 2014 .