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001 | 978-3-658-31175-9 | ||
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_a10.1007/978-3-658-31175-9 _2doi |
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100 | 1 |
_aLenz, Annika. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut |
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_aDynamic Decision Support for Electronic Requirements Negotiations _h[electronic resource] / _cby Annika Lenz. |
250 | _a1st ed. 2020. | ||
264 | 1 |
_aWiesbaden : _bSpringer Fachmedien Wiesbaden : _bImprint: Springer Gabler, _c2020. |
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_aXVII, 123 p. 21 illus. _bonline resource. |
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_atext _btxt _2rdacontent |
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_acomputer _bc _2rdamedia |
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_aonline resource _bcr _2rdacarrier |
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_atext file _bPDF _2rda |
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505 | 0 | _aDecision Problems in Requirements Negotiations -- Assessment of Multi-Criteria Preference Measurement Methods for a Dynamic Environment -- DynASE – A Method for Dynamic Preference Adjustment in Electronic Negotiations -- Designing Dynamic Decision Support for Electronic Requirements Negotiations. | |
520 | _aAnnika Lenz develops an interactive preference measurement method, which provides dynamic preference adjustment, to assess alternatives in terms of utility for an individual decision maker throughout the requirements negotiation process. Consequently, interactive dynamic decision support is designed, which can handle changes related to requirements dynamically. An empirical study shows that the newly developed method is both objectively and subjectively more efficient than a static alternative. Thus, it is argued that efficient preference adjustment enables decision support based on up-to-date preferences. The designed support component is compared to two state-of-the-art approaches for decision support in requirements negotiations. Contents Decision Problems in Requirements Negotiations Assessment of Multi-Criteria Preference Measurement Methods for a Dynamic Environment DynASE – A Method for Dynamic Preference Adjustment in Electronic Negotiations Designing Dynamic Decision Support for Electronic Requirements Negotiations Target Groups Scientists and students in the field of business information systems Practitioners working in the area of requirements engineering About the Author Annika Lenz was a research assistant at the Information Systems Department 1 – Organisational Communication at the University of Hohenheim, Germany, and is currently working in the field of digital transformation. | ||
650 | 0 |
_aBusiness _xData processing. |
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650 | 0 | _aOperations research. | |
650 | 1 | 4 | _aBusiness Informatics. |
650 | 2 | 4 | _aOperations Research and Decision Theory. |
710 | 2 | _aSpringerLink (Online service) | |
773 | 0 | _tSpringer Nature eBook | |
776 | 0 | 8 |
_iPrinted edition: _z9783658311742 |
776 | 0 | 8 |
_iPrinted edition: _z9783658311766 |
856 | 4 | 0 | _uhttps://doi.org/10.1007/978-3-658-31175-9 |
912 | _aZDB-2-SCS | ||
912 | _aZDB-2-SXCS | ||
942 | _cSPRINGER | ||
999 |
_c174594 _d174594 |