| 000 | 03587cam a22005297i 4500 | ||
|---|---|---|---|
| 001 | 9780429316715 | ||
| 003 | FlBoTFG | ||
| 005 | 20220509193057.0 | ||
| 006 | m o d | ||
| 007 | cr |n||||||||| | ||
| 008 | 200731s2021 nyu ob 001 0 eng d | ||
| 040 |
_aOCoLC-P _beng _erda _epn _cOCoLC-P |
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| 020 |
_a9781000178586 _q(electronic bk.) |
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| 020 |
_a1000178587 _q(electronic bk.) |
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| 020 |
_a9780429316715 _q(electronic bk.) |
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| 020 |
_a0429316712 _q(electronic bk.) |
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| 020 |
_a9781000178623 _q(electronic bk. : EPUB) |
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| 020 |
_a1000178625 _q(electronic bk. : EPUB) |
||
| 020 |
_a9781000178609 _q(electronic bk. : Mobipocket) |
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| 020 |
_a1000178609 _q(electronic bk. : Mobipocket) |
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| 020 | _z0367321173 | ||
| 020 | _z9780367321178 | ||
| 035 |
_a(OCoLC)1178894333 _z(OCoLC)1191074853 |
||
| 035 | _a(OCoLC-P)1178894333 | ||
| 050 | 4 |
_aHB615 _b.A746 2021eb |
|
| 072 | 7 |
_aBUS _x025000 _2bisacsh |
|
| 072 | 7 |
_aBUS _x041000 _2bisacsh |
|
| 072 | 7 |
_aBUS _x060000 _2bisacsh |
|
| 072 | 7 |
_aKC _2bicssc |
|
| 082 | 0 | 4 |
_a338 _223 |
| 100 | 1 |
_aArgote Cusi, Milenka Linneth, _eauthor. |
|
| 245 | 1 | 0 |
_aGlobal entrepreneurship analytics : _busing GEM data / _cMilenka Linneth Argote Cusi, León Darío Parra Bernal. |
| 264 | 1 |
_aNew York, NY : _bRoutledge, _c2021. |
|
| 300 | _a1 online resource. | ||
| 336 |
_atext _btxt _2rdacontent |
||
| 337 |
_acomputer _bc _2rdamedia |
||
| 338 |
_aonline resource _bcr _2rdacarrier |
||
| 490 | 1 | _aRoutledge focus on business and management | |
| 520 |
_a"This innovative book proposes new methodologies for the measurement of entrepreneurship by applying techniques of demography, engineering, mathematics and statistics. Using the data from the Global Entrepreneurship Monitor (GEM), statistical demographic techniques are used for the evaluation of data quality and for the estimation of key indicators, a new methodology for the calculation of Specific Entrepreneurship Rates and Global Entrepreneurship Rate is proposed, at the same time the authors present artificial intelligence techniques such as Fuzzy Time Series to forecast data series of the entrepreneurial population. Finally, they present a case study of the implementation of Big Data in Entrepreneurship using GEM Data, that shows the latest technological trends for the management of data, in support of making more accurate decisions. Being a methodological book, the techniques presented can be applied to any data set in different areas. Readers will learn new methodologies of analysis and measurement of entrepreneurship using data from the Global Entrepreneurship Monitor. They will be able to access the experience of the authors through each of the applied cases in which the reader is taken by the hand both in the scientific method and in the methodology of construction of more accurate metrics in entrepreneurship or with less error. This book will be of value to students at an advanced level, academics, and researchers in the fields of Entrepreneurship, Business analytics and Research Methodology"-- _cProvided by publisher. |
||
| 588 | _aOCLC-licensed vendor bibliographic record. | ||
| 650 | 0 |
_aEntrepreneurship _xStatistical methods. |
|
| 650 | 7 |
_aBUSINESS & ECONOMICS / Entrepreneurship _2bisacsh |
|
| 650 | 7 |
_aBUSINESS & ECONOMICS / Management _2bisacsh |
|
| 650 | 7 |
_aBUSINESS & ECONOMICS / Small Business _2bisacsh |
|
| 700 | 1 |
_aParra Bernal, León Darío, _eauthor. |
|
| 856 | 4 | 0 |
_3Taylor & Francis _uhttps://www.taylorfrancis.com/books/9780429316715 |
| 856 | 4 | 2 |
_3OCLC metadata license agreement _uhttp://www.oclc.org/content/dam/oclc/forms/terms/vbrl-201703.pdf |
| 999 |
_c129374 _d129374 |
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