Ariq Gustama Pasya


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Corporate Social Irresponsibility


Corporate Social Irresponsibility

Author: Ralph Tench

language: en

Publisher: Emerald Group Publishing

Release Date: 2012-11-29


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Corporate social responsibility (CSR) has become an increasingly heated topic since the 1980s. This title proposes that the concept of Corporate Social Irresponsibility (CSI) offers a better theoretical platform to avoid the vagueness, ambiguity, arbitrariness and mysticism of CSR.

A Research Agenda for Entrepreneurship and Context


A Research Agenda for Entrepreneurship and Context

Author: Friederike Welter

language: en

Publisher: Edward Elgar Publishing

Release Date: 2016-09-30


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There is growing recognition that entrepreneurship can be better understood within its context(s). This carefully designed book invites readers to take a journey: from reflecting critically on where the discussion on context and entrepreneurship stands today towards identifying future research questions and themes that deserve the attention of entrepreneurship scholars. This collection draws attention to the research challenges the entrepreneurship field faces by reviewing the many facets of contexts and by reflecting on methods and theoretical approaches that are required in order to contextualize entrepreneurship research. Students and academics interested in context and entrepreneurship will benefit from this far-reaching and forward-thinking book.

A Primer on Nonparametric Analysis, Volume I


A Primer on Nonparametric Analysis, Volume I

Author: Shahdad Naghshpour

language: en

Publisher: Business Expert Press

Release Date: 2016-08-18


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Nonparametric statistics provide a scientific methodology for cases where customary statistics are not applicable. Nonparametric statistics are used when the requirements for parametric analysis fail, such as when data are not normally distributed or the sample size is too small. The method provides an alternative for such cases and is often nearly as powerful as parametric statistics. Another advantage of nonparametric statistics is that it offers analytical methods that are not available otherwise. Nonparametric methods are intuitive and simple to comprehend, which helps researchers in the social sciences understand the methods in spite of lacking mathematical rigor needed in analytical methods customarily used in science. This book is a methodology book and bypasses theoretical proofs while providing comprehensive explanations of the logic behind the methods and ample examples, which are all solved using direct computations as well as by using Stata. It is arranged into two integrated volumes. Although each volume, and for that matter each chapter, can be used separately, it is advisable to read as much of both volumes as possible; because familiarity with what is applicable for different problems will enhance capabilities.