Titlebook: Innovation Offshoring; From Cost to Growth: Simon Plankenhorn Book 2009 Gabler Verlag | Springer Fachmedien Wiesbaden GmbH, Wiesbaden 2009

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書目名稱Innovation Offshoring影響因子(影響力)




書目名稱Innovation Offshoring影響因子(影響力)學(xué)科排名




書目名稱Innovation Offshoring網(wǎng)絡(luò)公開度




書目名稱Innovation Offshoring網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Innovation Offshoring被引頻次




書目名稱Innovation Offshoring被引頻次學(xué)科排名




書目名稱Innovation Offshoring年度引用




書目名稱Innovation Offshoring年度引用學(xué)科排名




書目名稱Innovation Offshoring讀者反饋




書目名稱Innovation Offshoring讀者反饋學(xué)科排名

一小塊

STAT

Clinch

Book 2009ing contracts are considered to be quite successful in corporate reality, managers are primarily offshoring to realize factor cost advantages and thereby neglect growth opportunities. Why are current offshoring activities focused on efficiency? Could offshoring be also employed as a growth instrumen

對(duì)手

Offshoring theory,epted definition; differences in how the phenomenon has been reviewed; varied reliability of data and their use; the wide range of potential entities affected; and the inherent difficulty in directly measuring offshoring and estimating its impacts. Indeed, recent studies have cited the need for bett

antipsychotic

AVERT

Research methodology,nt of any academic project. By defining distinct questions, the research model not only becomes structured and focused, but also limits data volume exostosis and constitutes the first step for developing grounded theory (Glaser and Strauss, 1967; Eisenhardt, 1989; Christensen and Sundahl, 2001). As

相互影響

European sponsor survey,ations in the three top-tier journals “Academy of Management Journal”, “Administrative Science Quarterly” and “Journal of Management”. They observed that over 58% of successfully published organizational behavior research employs such a . approach and that over 85% of studies are . instead of longit

被詛咒的人

禮節(jié)

to cure a given symptom set. Previous methods primarily focus on modeling the interaction between symptoms (or diseases) and herbs without explicitly considering the syndrome information. As a result, these methods only capture the coarse-grained syndrome information. In this paper, we propose a new