Developing a dynamic project learning and cross-project learning capability: synthesizing two perspectives

2008 ◽  
Vol 18 (6) ◽  
pp. 567-591 ◽  
Author(s):  
Sue Newell ◽  
Linda F. Edelman
Keyword(s):  
Learning Capability ◽  
Project Learning ◽  
Cross Project

scholarly journals A public unified bug dataset for java and its assessment regarding metrics and bug prediction

2020 ◽  
Vol 28 (4) ◽  
pp. 1447-1506 ◽  
Author(s):  
Rudolf Ferenc ◽  
Zoltán Tóth ◽  
Gergely Ladányi ◽  
István Siket ◽  
Tibor Gyimóthy
Keyword(s):  
Prediction Models ◽  
Source Code ◽  
Decision Tree Algorithm ◽  
Large Dataset ◽  
Code Analysis ◽  
Project Learning ◽  
Code Metrics ◽  
Public Datasets ◽  
Source Code Metrics ◽  
Cross Project

AbstractBug datasets have been created and used by many researchers to build and validate novel bug prediction models. In this work, our aim is to collect existing public source code metric-based bug datasets and unify their contents. Furthermore, we wish to assess the plethora of collected metrics and the capabilities of the unified bug dataset in bug prediction. We considered 5 public datasets and we downloaded the corresponding source code for each system in the datasets and performed source code analysis to obtain a common set of source code metrics. This way, we produced a unified bug dataset at class and file level as well. We investigated the diversion of metric definitions and values of the different bug datasets. Finally, we used a decision tree algorithm to show the capabilities of the dataset in bug prediction. We found that there are statistically significant differences in the values of the original and the newly calculated metrics; furthermore, notations and definitions can severely differ. We compared the bug prediction capabilities of the original and the extended metric suites (within-project learning). Afterwards, we merged all classes (and files) into one large dataset which consists of 47,618 elements (43,744 for files) and we evaluated the bug prediction model build on this large dataset as well. Finally, we also investigated cross-project capabilities of the bug prediction models and datasets. We made the unified dataset publicly available for everyone. By using a public unified dataset as an input for different bug prediction related investigations, researchers can make their studies reproducible, thus able to be validated and verified.

A THEORETICAL FRAMEWORK FOR UNDERSTANDING THE ORGANISATION OF THE R&D FUNCTION: AN EMPIRICAL ILLUSTRATION FROM THE CHEMICAL AND PHARMACEUTICAL INDUSTRY

2006 ◽  
Vol 10 (04) ◽  
pp. 455-476 ◽  
Author(s):  
FLORENCE CHARUE-DUBOC
Keyword(s):  
Pharmaceutical Industry ◽  
Mergers And Acquisitions ◽  
Absorptive Capacity ◽  
Theoretical Framework ◽  
Innovation Performance ◽  
Project Learning ◽  
Research Function ◽  
Economy Of Scope ◽  
Empirical Illustration ◽  
Cross Project

The increasing importance of innovation for companies, mergers and acquisitions, and the strengthening of project structures are leading to numerous rationalisations in the organisation of the research function. Although few works have analysed company R&D organisation and its impact on innovation performance, we elaborate on the concepts of economy of scope and absorptive capacity, introduced to compare the efficiency of various firms' R&D, so as to analyse the organisation of R&D departments. We focus on inter-project learning and argue that it must be viewed as an organisational question. "Organising by problem" constitutes a new means of cross-project learning and of enhancing absorptive capacity.

The Impact of Transformational Leadership on Entrepreneurial Orientation via the Mediating Role of Organizational Learning Capability

2020 ◽  
Vol 8 (2) ◽  
pp. 65
Author(s):  
Razan Nofal ◽  
Mais Jaradat
Keyword(s):  
Transformational Leadership ◽  
Organizational Learning ◽  
Entrepreneurial Orientation ◽  
Commercial Banks ◽  
Quantitative Research ◽  
Intellectual Stimulation ◽  
Design Data ◽  
Learning Capability ◽  
Idealized Influence ◽  
The Impact

The current research aims to investigate the effect of transformational leadership on entrepreneurial orientation in Jordanian commercial banks, and whether organizational learning capability mediates the effect of transformational leadership on entrepreneurial orientation. Adopting a quantitative research design, data were collected by means of a questionnaire-based survey of employees in Jordanian commercial banks. Based on 330 usable responses, the results revealed the significant effect of transformational leadership and two of its dimensions (inspirational motivation and intellectual stimulation) on entrepreneurial orientation. Two other dimensions (idealized influence and individualized consideration) did not contribute to entrepreneurial orientation. Additionally, the results showed that transformational leadership has a significant effect on organizational learning capability, and that organizational learning capability in turn affects entrepreneurial orientation. The findings confirm that organizational learning capability fully mediates the effect of transformational leadership on entrepreneurial orientation. A number of recommendations are advanced, the most important of which is that banks should improve and develop managers’ transformational attributes by training them on how to deal with employees in order to increase their entrepreneurial orientation. Banks should also consider improving their learning capability, as this plays a significant role in enhancing and supporting the effect of transformational leadership attributes on entrepreneurial orientation.

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