Problem Solving In Program Management Case Study

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CHAPTER 1: PROBLEMS AND PERSONALITY

This chapter provides an overview of my proposed study. It outlines (1.1) the central role of problem solving in program management; (2.2) different types of problem; (2.3) different types of problem solving ability; (2.4) different personality types; (2.5) personality as a predictor of problem solving ability; (2.6) the variables operationalized and analyzed in this study, and (2.7) the research questions. These areas are further explored and developed in Chapter 2.
1.1 Problem Solving in Program Management

Problem solving refers to the ability of an individual to apply knowledge and innovative ideas effectively, in order to identify, analyze, and frame solutions to problematic issues and challenges (Carson, 2007). The central role of problem solving in program management is that it drives an individual’s mental cognition to provide solutions that result in the making of decisions. Problem solving is not an exclusive responsibility of those occupying the executive suite. Many organizations seek to strengthen their position and competitive advantage, by cultivating problem solving skills in their workforce. Every individual in an organization needs to be prepared and equipped to meet the problem solving challenge (Marone, & Blauth, 2004). Nevertheless, the effectiveness of the problem solving abilities of program managers has been relatively underexplored. Relatively limited research has been conducted to help develop managers in project-oriented organizations (Smith, 2007; Bodea & Buchman, 2012). In the following sections, I classify different types of problems and problem solving abilities, and indicate how personality traits and problem solving ability may be related.
1.2 Clas...

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...ially lack precision and clarity into valid and reliably measured quantitative variables that can be statistically analyzed (Creswell, 2009). Constructs are complex psychological concepts (e.g., personality traits) that cannot be measured directly; however, they can be inferred by compositing indicators of their multiple facets, using statistical methods such as factor analysis (Gorsuch, 1983). In consideration to the information provided above, Table 1 summarizes the nine constructs that I will operationalize into quantitative variables in this study, as well as introducing the instruments that I will use to collect the data. Table 2 provides the conceptual definitions of the nine variables. Appendix A to E present copies of the instruments. Chapter 2 and Chapter 3 provide further details about the instrumentation and how the variables are operationalized.

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