LDR | | 02161nam u200397 4500 |
001 | | 000000418805 |
005 | | 20190215163151 |
008 | | 181129s2017 |||||||||||||||||c||eng d |
020 | |
▼a 9780438071568 |
035 | |
▼a (MiAaPQ)AAI10868357 |
035 | |
▼a (MiAaPQ)OhioLINK:osu1506682418566979 |
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▼a MiAaPQ
▼c MiAaPQ
▼d 247004 |
082 | 0 |
▼a 658 |
100 | 1 |
▼a Smyth, Kevin Barry. |
245 | 13 |
▼a An Exploration of and Case Studies in Demand Forecast Accuracy: Replenishment, Point of Sale, and Bounding Conditions. |
260 | |
▼a [S.l.]:
▼b The Ohio State University.,
▼c 2017. |
260 | 1 |
▼a Ann Arbor:
▼b ProQuest Dissertations & Theses,
▼c 2017. |
300 | |
▼a 249 p. |
500 | |
▼a Source: Dissertation Abstracts International, Volume: 79-10(E), Section: A. |
500 | |
▼a Adviser: A. Michael Knemeyer. |
502 | 1 |
▼a Thesis (Ph.D.)--The Ohio State University, 2017. |
520 | |
▼a Forecasts are a critical input that drive actions within the firm and throughout the supply chain. For good reason, there is a tremendous focus on accuracy for this input. This dissertation addresses three areas regarding forecast accuracy in lo |
520 | |
▼a In three essays, we identify governance form factors that affect replenishment forecast deviation and bias, demonstrate accuracy improvement though the inclusion of uncertain weather forecast information in demand forecasts, and identify themes |
520 | |
▼a Each essay expands theoretical understanding of management phenomena, and reframes the manner in which previous research can be applied in practice. In each we also propose future avenues to expand on the work here, and on forecasting in general |
590 | |
▼a School code: 0168. |
650 | 4 |
▼a Business administration. |
690 | |
▼a 0310 |
710 | 20 |
▼a The Ohio State University.
▼b Business Administration. |
773 | 0 |
▼t Dissertation Abstracts International
▼g 79-10A(E). |
773 | |
▼t Dissertation Abstract International |
790 | |
▼a 0168 |
791 | |
▼a Ph.D. |
792 | |
▼a 2017 |
793 | |
▼a English |
856 | 40 |
▼u http://www.riss.kr/pdu/ddodLink.do?id=T15000185
▼n KERIS
▼z 이 자료의 원문은 한국교육학술정보원에서 제공합니다. |
980 | |
▼a 201812
▼f 2019 |
990 | |
▼a ***1012033 |