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Impact of Emotional Intelligence on Attitudes and Behaviours in Pharmaceutical Marketing Exchanges. Bruno LUSSIER – PhD candidate (Marketing) Alain JOLIBERT – Supervisor . Overview. General context & research question Theoretical framework & objectives Methodology & experimental design
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Impact of Emotional Intelligence on Attitudes and Behaviours in Pharmaceutical Marketing Exchanges Bruno LUSSIER – PhD candidate (Marketing) Alain JOLIBERT – Supervisor
Overview • General context & research question • Theoretical framework & objectives • Methodology & experimental design • Contributions & limitations • Next steps
General context & research question • Theoretical framework & objectives • Methodology & experimental design • Contributions & limitations • Next steps
Emotional Intelligence (EI) in Pharmaceutical Marketing Exchanges “An area neglected by marketers, but at the heart of the discipline, is the role of emotions in marketing exchanges and relationships.” (Bagozzi, Gopinath, and Nyer 1999)
General Context • 75% of Fortune 500 companies promote EI • 90% of top sellers have high EI(Talentsmart, 2009) • EI increases accuracy in meeting customer needs (Homburg, Wieseke, Bornemann, 2009) • Little research showing EI enhances performance (Palmatier, Jarvis, Bechkoff, & Kardes, 2009) • EI can be taught (Mayer & Solovey, 1997) 5
Research Question What impact do individual characteristics of sellers have on attitudes & behaviours of physicians in pharmaceutical marketing exchanges?
General context & research question • Theoretical framework & objectives • Methodology & experimental design • Contributions & limitations • Next steps
Variables Emotional Intelligence Self-efficacy Attitude Customer orientation Trust & Satisfaction Prescribe +WOM Intention Continuity
Conceptual Model Seller Emotional Intelligence Seller Self-Efficacy MD Attitudes Trust Satisfaction Seller Attitude Toward Selling MD Attitudes & Behaviours MD Behaviours Prescription + WOM Intention Continuity Seller Customer Orientation Manipulated independent variable Manipulated moderating variable Measured mediated variable 9 Measured dependent variable
Objectives Seller Evaluate moderating impact of EI on: • self-efficacy • attitude toward selling • customer orientation Customer (MD) Analyse effect on: • attitudes (trust & satisfaction) • behaviours (intention to Rx, + WOM, continuity)
General context & research question • Theoretical framework & objectives • Methodology & experimental design • Contributions & limitations • Next steps
Methodology • Emotional Intelligence in Marketing Exchanges (EIME) scale (Kidwell et al., 2011) New, innovative & ability based Specific to Marketing • 150 questionnaires to sellers • 150 questionnaires to MDs • Pharmaceutical company data
General context & research question • Theoretical framework & objectives • Methodology & experimental design • Contributions & limitations • Next steps
Theoretical & Managerial Contributions Customer Retention Sales performance Selection Training 14
Limitations Other relationship variables could be measured Several industries could be studied Sellers & MDs – other dyads could be evaluated 15
General context & problematic • Theoretical framework & objectives • Methodology & experimental design • Contributions & limitations • Next steps
Next 6 months • Partnerships with LaboratoireUrgo and Novartis • Field work – October 2012 • Seeking other French pharmaceutical companies (Abbott, Pfizer, etc.) 17
Next 6 to 12 months To do: Build scales for sellers and customers Field work – start/continue Work on chapters 1, 2 & 3 Worries/difficulties: Will I be able to meet the 150 sample goal? Work abroad: Montreal – Grenoble 18
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