Success factors decision making

A subdivision in the types of decision making clarifies the kinds of people involved. There are public decision-makers who make either policy or management decisions about on-site behaviour. There are marketers in joint public-private cooperative endeavours whose interests include such factors as what will influence travellers to come to place A, B or C. There are also business decision makers concerned with the design and financial success of tourism products. These kinds of interests focus on what tourists will prefer and how they make their travel choices and purchases. Tourism industry lobby groups may also be interested in select tourist behaviour issues, particularly topics such as user-pays fees and taxes on activities. 

In Chapter 4, we also show you how to link these ten success factors, such as initiative, team pla)4ng, or decision making, with your own success stories. You want to illustrate your accomplishments rather than list or report them as facts. You are much more convincing and give far greater proof of your claims if you can tell illustrative... 

Despite the issues discussed above, generic companies have been successful in developing products within very tight time lines. How has this been possible It is our experience that several factors contribute to the success, or failure, of process development work (1) cross-functional skills and teamwork, (2) system-driven process development work, (3) planning and monitoring, and (4) nimbleness in decision making. 

Rational models of decision making view these stages as successive however, in real fields of practice their sequence may change (Marmaras et al. 1992 Klein 1997 Dreyfus 1997) as a function of several factors in the work environment. 

Efficient use of this growing data mountain is a key success factor. We want to provide as much knowledge as possible, as early as possible, and therefore enable research teams to make the best possible decision whenever this decision can be supported by stored data. In this section, an approach termed BioProfile is described that is used within BI to generate knowledge from the in-house assay results. 

---