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008 210828s2021 sz | o |||| 0|eng d
020 _a9783030771591
024 7 _a10.1007/978-3-030-77159-1
_2doi
040 _aES-VaU
_bspa
_cES-VaU
_dES-VaU
050 4 _aHD62.5
_b2021 EB
100 1 _aFaghih, Nezameddin.
_eautor.
_0(orcid)0000-0003-4914-4999
_1https://orcid.org/0000-0003-4914-4999
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
245 0 0 _aEntrepreneurship Quality Index (EQI) :
_bA New Operations Research Model Using Bayesian Approach and Quality Engineering
_cby Nezameddin Faghih, Lida Sarreshtehdari, Ebrahim Bonyadi
250 _a1st ed. 2021.
264 1 _aCham
_c2021
_bSpringer International Publishing
300 _a1 recurso en línea
336 _atexto
_btxt
_2rdacontent
337 _aelectrónico
_bc
_2rdamedia
338 _arecurso electrónico
_bcr
_2rdacarrier
490 0 _aContributions to Management Science
_x2197-716X
505 0 _aChapter 1: Introduction -- Chapter 2: Entrepreneurship and Quality Control -- Chapter 3: Quality Control -- Chapter 4: Estimation of Missing Values -- Chapter 5: Indexing the Entrepreneurship Quality -- Chapter 6: Summary of Study -- References.
520 _aThis book tackles the perplexing problem of how to capture the qualitative differences that exist in entrepreneurship at any given point in time or across time, by presenting a novel qualitative index: Entrepreneurship Quality Index (EQI). This comprehensive composite index is based on recognized interactions among different factors affecting intensity and types of entrepreneurial activity, which in turn is impacting the well-being. It brings qualitative differences in entrepreneurship depending on time and space into calculation of the composite index. Besides, EQI is the missing piece of the entrepreneurship puzzle, and the quality of entrepreneurship is a significant factor that shows why less developed countries do not achieve higher levels of economic growth, despite their high rate of entrepreneurial activities. This book does a masterful job in explaining the diversity of existing perspectives, their contributions, and their shortfalls. It applies rigorous tools of mathematical statistics and quality engineering, such as Bayes' rule, maximum likelihood estimation, six sigma algorithm, and standardization equation, to derive and introduce EQI, as a novel operations research model. It offers a number of important ideas and insights as to how the quality of entrepreneurship can be measured more accurately. It also illustrates the proposed approaches showing their efficacy across time. The proposed solutions are logical and empirically sound; they represent an important leap in thinking about the quality of entrepreneurship. Its contribution is crucial and timely - one that will be well recognized by researchers worldwide. They give a much-needed framework along with the necessary tools to evaluate and measure entrepreneurial activities. .
856 4 0 _uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-030-77159-1
_zAcceso a este recurso digital (usuarios Universidad Europea de Valencia)
942 _2lcc
_cLE
988 _aSpringer_Business_2021
999 _c239050
_d239050