مقاله انگلیسی رایگان در مورد ارزیابی پروژه های نوآوری با عدم اطمینان بالا – الزویر 2018

 

مشخصات مقاله
ترجمه عنوان مقاله ارزیابی پروژه های نوآوری با عدم اطمینان بالا: دلایل جستجو برای گزینه های واقعی
عنوان انگلیسی مقاله Valuation of innovation projects with high uncertainty: Reasons behind the search for real options
انتشار مقاله سال 2018
تعداد صفحات مقاله انگلیسی 14 صفحه
هزینه دانلود مقاله انگلیسی رایگان میباشد.
پایگاه داده نشریه الزویر
نوع نگارش مقاله
مقاله پژوهشی (Research Article)
مقاله بیس این مقاله بیس میباشد
نمایه (index) Scopus – Master Journal List – JCR
نوع مقاله ISI
فرمت مقاله انگلیسی  PDF
ایمپکت فاکتور(IF)
2.686 در سال 2017
شاخص H_index 55 در سال 2018
شاخص SJR 0.937 در سال 2018
رشته های مرتبط مدیریت
گرایش های مرتبط مدیریت تکنولوژی
نوع ارائه مقاله
ژورنال
مجله مجله مدیریت مهندسی و فناوری – Journal of Engineering and Technology Management
دانشگاه   Production Engineering Department – Polytechnic School of the University of São Paulo – University of São Paulo – Cidade Universitária – Brazil
کلمات کلیدی مدیریت نوآوری، نوآوری رادیکال، ارزیابی پروژه، مدیریت عدم اطمینان، گزینه های واقعی
کلمات کلیدی انگلیسی Innovation Management، Radical Innovation، Project Valuation، Uncertainty Management، Real Options
شناسه دیجیتال – doi
https://doi.org/10.1016/j.jengtecman.2018.08.001
کد محصول  E10619
وضعیت ترجمه مقاله  ترجمه آماده این مقاله موجود نمیباشد. میتوانید از طریق دکمه پایین سفارش دهید.
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فهرست مطالب مقاله:
Abstract

1- Introduction

2- Theoretical background

3- Research method

4- Evidences from the case studies

5- Discussion

6- Conclusions

References

بخشی از متن مقاله:

Abstract

Real Options (RO) has been indicated to valuate projects with high uncertainty. However, literature points to challenges and asks for an organizational understanding of its use. So: Why do managers search for the RO approach to valuate radical innovation projects? Based on five in-depth case studies, we discuss hidden organizational and managerial issues related to the search for RO to valuate radical innovation. We argue that managers search for RO to cope with the “paradox of organizational fit”, and later, to deal with the “newness prison”, employing RO Structuring and RO Integration to allow exposure to radical innovation.

Introduction

A critical challenge for firms is to define a proper approach to evaluate radical innovation (RI) projects, characterized by high uncertainty. Decades of scholarship have shown that inadequate managerial approaches are able to extinguish radical initiatives (e.g., Christensen et al., 2008), leading to incrementalism in the portfolios (Cooper, 2013). Indeed, the financial valuation of RI is a complex task (Paulson et al., 2007). While incremental innovation relies on historical data related to well-known technologies and the market, radical innovation deals with uncertainties from different sources (Rice et al., 2008), including “unknowns-unknowns” (Meyer et al., 2002) and a lack of, or poor, data. A number of studies have indicated that traditional financial tools, such as Net Present Value (NPV), Return of Investments (ROI) and the like, are not suitable to valuate RI projects, since they are not capable of dealing with the lack of past data, uncertainty, the investment reversibility in innovation. Additionally, they do not take into account managerial flexibility – the possibility of changing the project path during its execution (Huchzermeier and Loch, 2001; Santiago and Vakili, 2005; O’Connor et al., 2008; Kester et al., 2009; Goffin and Mitchell, 2010; Wang et al., 2015). Some authors consider Real Options (RO) as a more suitable approach to the context of RI (e.g., Huchzermeier and Loch, 2001; Santiago and Vakili, 2005). RO would support the technical valuation of radica projects, making them easier to justify and manage and would also quantify managerial flexibility, allowing these projects to appear financially more attractive (Perlitz et al., 1999; McGrath and Nerkar, 2004). Even though there has been a technical development of RO methods, there is still an ongoing concern expressed in innovation literature (Huchzermeier and Loch, 2001; Santiago and Bifano, 2005; Wang et al., 2015): that firms struggle to implement RO effectively (Reuer and Tong, 2007). Studies have found important challenges and barriers to RO: its intrinsic mathematical complexity, the non-intuitive results it produces, the lack of awareness of its mechanisms by most of the decision-makers, and the difficulties that still exist in modeling really disruptive projects, containing “unknowns-unknowns” (e.g., Fredberg, 2007). Nevertheless, some scholars have indicated that firms continue to search for RO in order to valuate innovation projects (Wang et al., 2015).

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