کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
1017088 940290 2015 6 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Evaluating the performance of biotechnology companies by causal recipes
ترجمه فارسی عنوان
ارزیابی عملکرد شرکت های بیوتکنولوژی توسط دستور العمل های علی
کلمات کلیدی
موضوعات مرتبط
علوم انسانی و اجتماعی مدیریت، کسب و کار و حسابداری کسب و کار و مدیریت بین المللی
چکیده انگلیسی

This study empirically investigates six variables and their combinations that may affect revenues of Taiwan's biotechnology industry. Examine variables include annual government investment, annual private investment, number of national biotechnology incubator yearly, number of manufacturers that biotechnology incubators foster yearly, number of patents that listed companies own yearly, and listed companies' annual R&D expenses. Using original and incremental Taiwanese data, this study contrasts conventional multiple regression analysis (MRA) of net effects and fuzzy-set qualitative comparative analysis (fsQCA) of causal complexities. Results indicate that fsQCA outperforms MRA and successfully models both types of data with causal complexities.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of Business Research - Volume 68, Issue 4, April 2015, Pages 851–856
نویسندگان
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