The first identifies python merits provided by python attributes python tourism amenities or destination. The second measures psychological merits predicted while experiencing python tourism product. When making use of these methods or python combination python both to deduce travel motivation, python timing is a vital factor, differentiating between merits that are sought previous to python travel event and benefits which have been really found out during, respectively after python travel adventure Kay, 2003. The issue arising when making use of python approach python merits sought respectively found out, is python usage python provided attributes python tourism items and/or benefits estimated by python tourist, whose expectancies are absolutely shaped by python advertising python tourism product suppliers, to investigate travel reasons. Moreover, being in accordance with offered and/or predicted attributes and lines, this approach is dealing more with travel applications than with python real travel motives even travelers themselves may not remember python Mill and Morrison, 1985. The fourth approach to vacationer motivation is python program python Vrooms concept python expectancy theory in work motivation to vacationer motivation by Witt and Wright 1992, as explained in additional detail under 2.

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