This study is about outlier detection in time series data. The main objective is to derive and to test statistics for detecting additive outlier (AO) and innovative outlier (IO) in GARCH(1,1) processes and subsequently to develop a procedure for testing the presence of outliers using the statistics. A test statistic has been derived for each type of outlier. In the derivation of the statistics,...

Why do employees engage in innovative behavior at their workplaces? We examine how employees’ innovative behavior is explained by expectations for such behavior to affect job performance (expected positive performance outcomes) and image inside their organizations (expected image risks and expected image gains). We found significant effects of all three outcome expectations on innovative behavi...

Knowledge management (KM) infrastructure is the foundation for managing and embodying valuable knowledge in firms. Based on the resource-based view (RBV) and process level analysis, this study investigates how KM infrastructure influences market interrelationship performance through innovative business processes. The study collected a sample of 126 hospitals in the Taiwanese healthcare industry...

Cross-domain research and development has prevailed in regional transformation disruptive innovation the last 15 years. Recently, a new concept, termed combinatorial knowledge bases (CKBs), offers insights into combining dynamics is considered good approach to explore recombinant innovative activities. Here, we review literature on CKBs Western economic geography, introduce agenda for China’s g...

Successful innovation is essential for the survival and growth of organizations, but how best to incentivize poorly understood. We compare two common incentive schemes affect innovative performance in a field experiment run partnership with large life sciences company. find that winner-takes-all compensation scheme generates significantly more novel relative offers same total shares it across t...