Reviews the literature on strategic human resource development (SHRD) and explores the concept specifically in the context of the work of Garavan (1991), which highlighted nine key characteristics of SHRD. Garavan’s seminal paper is used as a starting point from which to examine the development of the concept of SHRD. By examining and reviewing the literature, the nine characteristics are redefined and enhanced, thus moving towards a new model and definition of SHRD. Concludes by defining SHRD as the creation of a learning culture, within which a range of training, development and learning strategies both respond to corporate strategy and also help to shape and influence it. It is the reciprocal, mutually enhancing, nature of the relationship between HRD and corporate strategy which lies at the heart of SHRD and at the heart of the development of a learning culture.
Revisits the literature on strategic human resource development (SHRD) in the context of Garavan’s work on the characteristics of SHRD. A conceptual framework is constructed that redefines SHRD stressing a shaping rather than supporting role for HRD in relation to corporate strategy. The concept of strategic maturity in HRD is examined linking the work of Garavan; Lee and McCracken; and Wallace. The resulting model of strategic maturity is then analysed empirically using data from a major questionnaire and interview survey. A new model of strategic partnerships in HRD is then proposed.
Several popular cost estimation models like COCOMO and function points use adjustment variables, such as software complexity and platform, to modify original estimates and arrive at final estimates. Using data on 666 programs from 15 software projects, this study empirically tests a research model that studies the influence of three adjustment variablessoftware complexity, computer platform, and program type (batch or online programs) on software effort. The results confirm that all the three adjustment variables have a significant effect on effort. Further, multiple comparison of means also points to two other results for the data examined. Batch programs involve significantly higher software effort than online programs. Programs rated as complex have significantly higher effort than programs rated as average.
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