مقاله انگلیسی رایگان در مورد درک نتایج تعامل در تحقیق کسب و کار

مقاله انگلیسی رایگان در مورد درک نتایج تعامل در تحقیق کسب و کار

 

مشخصات مقاله
عنوان مقاله  Overstating and understating interaction results in international business research
ترجمه عنوان مقاله  اغراق و درک نتایج تعامل در تحقیقات کسب و کار بین المللی
فرمت مقاله  PDF
نوع مقاله  ISI
نوع نگارش مقاله مقاله پژوهشی (Research article)
مقاله بیس این مقاله بیس میباشد
سال انتشار  مقاله سال ۲۰۱۷
تعداد صفحات مقاله  ۱۰ صفحه
رشته های مرتبط  مدیریت
گرایش های مرتبط   مدیریت کسب و کار MBA
مجله  مجله کسب و کار جهانی – Journal of World Business
دانشگاه  دانشکده کسب و کار گراسمن، دانشگاه ورمونت، ایالات متحده
کلمات کلیدی  روش های پژوهش، فعل و انفعالات، فرضیه شرطی، تعدیل متغیرها، اثر حاشیه ای، پسرفت
کد محصول  E3921
نشریه  نشریه الزویر
لینک مقاله در سایت مرجع  لینک این مقاله در سایت الزویر ( ساینس دایرکت ) Sciencedirect – Elsevier
وضعیت ترجمه مقاله  ترجمه آماده این مقاله موجود نمیباشد. میتوانید از طریق دکمه پایین سفارش دهید.
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بخشی از متن مقاله:
۱٫ Introduction

International business (IB) theory often includes conditional hypotheses. A conditional theory reflects scholars’ recognition of the need to include a moderating variable in a proposed causeand-effect relationship. The output of such theorizing takes the form of a hypothesis in which the relationship between a dependent variable and a primary explanatory variable of interest varies across the level or existence of some other moderating variable. To test a conditional hypothesis, researchers typically specify a regression model that includes a multiplicative interaction term. However, despite the growing number of articles containing such terms, IB researchers rarely distinguish – either conceptually or statistically – between two very different questions in their analysis of moderated relationships (Aiken & West, 1991).

Commonly, researchers ask only the following question: is the estimated coefficient on the interaction term in the regression statistically significant? If yes, then they generally conclude that support exists for the conditional hypothesis. However, IB researchers seldom explore a second, equally important question identified in the literature as contributing to a more complete test of the conditional hypothesis (e.g. Brambor, Clarke, & Golder, 2006; Berry, Golder, & Milton, 2012; Spiller, Fitzsimmons, Lynch, & McClelland, 2013). This question asks: is the effect of a change in the primary explanatory variable on the dependent variable (or, more simply, the “marginal effect” or “regression slope”), for any specific value of the moderating variable, statistically different from zero? The answer to the latter question provides vitally important additional information about the support for a conditional hypothesis. Whereas the first question asks whether marginal effects differ from one another for any two values of a moderating variable, the second question asks whether a marginal effect differs from zero for any specific value of a moderating variable (Aiken & West, 1991).

Differentiating between the two questions is critical. As we demonstrate in this paper, it is entirely possible to find, simultaneously, that the estimated coefficient on an interaction term is statistically insignificant and that the effect of a change in the primary explanatory variable (i.e., the marginal effect) is statistically different from zero over some portion of the range of the moderating variable. Itis also possible for the researcher to find a statistically significant estimated interaction coefficient but that the effects of a change in the explanatory variable are significantlydifferent from zero for only some value(s) of the moderating variable.

 

 

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