A Design Framework for a Market Intelligence System for Healthcare Sector: A Support Decision Tool in an Emergent Economy

The healthcare market is a dynamic sector, where marketing decisions are decisive and critical. Strategic and tactical planning demand data and information to produce knowledge, which will capacitate firms for business maneuvers as product positioning, pricing, and technological implementation for optimal business development. Marketing data and information must be provided from a variety of sources to produce knowledge, in a process that can be characterized as “organizational intelligence.” Collected contents from healthcare associated industrial sectors, such as chemical and pharmaceutical, have the potential to produce integrated value chain knowledge, improving analysis and decision processes. Approaching the healthcare market, a framework for an intelligence system for marketing decisions is discussed in this chapter. Initially reviewing the literature, a conceptual base is formed, which delimits the evaluation of intended framework. As an exam of practical marketing intelligence system application, case studies of real decisions observed in Brazilian market are done at the end of the chapter to evaluate how intelligence and knowledge, as conceptualized in the literature review, serve in typical healthcare marketing competition, as managerial support for problem solutions. A Design Framework for a Market Intelligence System for Healthcare Sector: A Support Decision Tool in an Emergent Economy George Jamil IN3, Belo Horizonte, Brazil Lorena Furbino IN3, Belo Horizonte, Brazil Leandro Santos IN3, Belo Horizonte, Brazil Marcus Alves IN3, Belo Horizonte, Brazil Rafael Santiago IN3, Belo Horizonte, Brazil Silvia Loyola IN3, Belo Horizonte, Brazil DOI: 10.4018/978-1-4666-3990-4.ch014

[1]  George P. Huber,et al.  A theory of the effects of advanced information technologies on organizational design, intelligence , 1990 .

[2]  Ilkka Tuomi.  Data is more than knowledge: implications of the reversed knowledge hierarchy for knowledge management and organizational memory , 1999 .

[3]  Yaoguang Hu,et al.  RESEARCH ON COLLABORATIVE DESIGN SOFTWARE INTEGRATION BASED ON SOA , 2008 .

[4]  Grover S. Kearns,et al.  A Resource-Based View of Strategic IT Alignment: How Knowledge Sharing Creates Competitive Advantage , 2003, Decis. Sci..

[5]  Liam J. Bannon,et al.  Bridging, Patching and Keeping the Work Flowing: Defect Resolution in Distributed Software Development , 2009, Computer Supported Cooperative Work (CSCW).

[6]  Roger S. Pressman,et al.  Software Engineering: A Practitioner's Approach , 1982 .

[7]  D. Leidner,et al.  The Impact of Executive Information Systems on Organizational Design, Intelligence, and Decision Making , 1995 .

[8]  Sholom M. Weiss,et al.  A system for real-time competitive market intelligence , 2002, KDD.

[9]  Chun Wei Choo,et al.  The knowing organization , 2005 .

[10]  Thomas D. Clark,et al.  The Dynamic Structure of Management Support Systems: Theory Development, Research Focus, and Direction , 2007, MIS Q..

[11]  Mohamed Z. Elbashir,et al.  The Role of Organizational Absorptive Capacity in Strategic Use of Business Intelligence to Support Integrated Management Control Systems , 2011 .

[12]  Hassan Reza,et al.  A Methodology for Architectural Design of Concurrent and Distributed Software Systems , 2006, The Journal of Supercomputing.

[13]  Dmitri G. Markovitch,et al.  Using Capital Markets as Market Intelligence: Evidence from the Pharmaceutical Industry , 2005, Manag. Sci..

[14]  Chengqi Zhang,et al.  Ontology-based integration of business intelligence , 2006, Web Intell. Agent Syst..

[15]  Hammad Akbar,et al.  Knowledge Levels and Their Transformation: Towards the Integration of Knowledge Creation and Individual Learning , 2003 .