Internal Corporate Venture Operations Independence and Performance: A Knowledge-Based Perspective

2013 ◽  
Vol 39 (4) ◽  
pp. 763-790 ◽  
Author(s):  
Robert P. Garrett ◽  
Jeffrey G. Covin
Keyword(s):  
Knowledge Based ◽  
Corporate Venture ◽  
And Performance ◽  
Internal Corporate Venture

The Contingent Effect of Team Composition on the Performance of Entrepreneurial Teams

2019 ◽  
pp. 654-680
Author(s):  
Serghei Musaji ◽  
Julio De Castro
Keyword(s):  
Future Research ◽  
Team Composition ◽  
Team Members ◽  
Team Diversity ◽  
Entrepreneurial Teams ◽  
Knowledge Based ◽  
Fertile Ground ◽  
Active Debate ◽  
And Performance ◽  
The Relationship

Despite the continuous interest in studying entrepreneurial teams, the relationship between team composition and, particularly, team diversity and performance remains fertile ground for active debate. Taking roots in the knowledge-based view and organizational learning literatures, this chapter argues that performance in entrepreneurial teams is contingent on (a) the overlap between team members’ knowledge/competences and the content of the performed tasks, (b) the duplication of the team members’ knowledge in the areas with that content, (c) the nature of tasks (exploration or exploitation), (d) the team’s flexibility to adapt to changes in the content and nature of those tasks, and (e) the rate of environmental change. Because an important source of ambiguity in the understanding of how team diversity and performance are linked ties to issues of how team diversity is conceptualized and operationalized, the chapter also proposes a new way of looking at diversity in future research.

scholarly journals Microcontroller Based Flexible Modulation Scheme of MLI Operation for Selective Lower Levels: A Knowledge Based Approach

2016 ◽  
Vol 2016 ◽  
pp. 1-11
Author(s):  
R. K. Dhatrak ◽  
R. K. Nema ◽  
D. M. Deshpande
Keyword(s):  
Pulse Generation ◽  
Multilevel Inverter ◽  
Experimental Results ◽  
Modulation Scheme ◽  
Inductive Load ◽  
Medium Voltage ◽  
Knowledge Based ◽  
Common Mode Voltage ◽  
Power Modules ◽  
And Performance

In today’s industrial world multilevel inverter (MLI) got a significant importance in medium voltage application and also a very potential topic for researchers. It is experienced that studying and comparing results of multilevel inverter (MLI) at distinct levels are a costlier and time consuming issue for any researcher if he fabricate different inverters for each level, as designing power modules simultaneously for different level is a cumbersome task. In this paper a flexible quotient has been proposed to recognize possible conversion of available MLI to few lower level inverters by appropriately changing microcontroller programming. This is an attempt to obtain such change in levels through simulation using MATLAB Simulink on inductive load which may also be applied to induction motor. Experimental results of pulse generation using dsPIC33EP256MC202 demonstrate the feasibility of proposed scheme. Proposed flexible quotient successfully demonstrates that a five-level inverter may be operated as three and two levels also. The paper focuses on odd levels only as common mode voltage (CMV) can be reduced to zero and performance of drives is better than even level. Simulated and experimental results are given in paper.

Geometric Reasoning Based on Graph Grammar Parsing

1994 ◽  
Vol 116 (3) ◽  
pp. 763-769 ◽  
Author(s):  
Z. Fu ◽  
A. de Pennington
Keyword(s):  
Intelligent Design ◽  
Feature Recognition ◽  
Geometric Reasoning ◽  
Geometric Constraints ◽  
Graph Grammar ◽  
Feature Interaction ◽  
Knowledge Based ◽  
Feature Based ◽  
Feature Information ◽  
And Performance

It has been recognized that future intelligent design support environments need to reason about the geometry of products and to evaluate product functionality and performance against given constraints. A first step towards this goal is to provide a more robust information model which directly relates to design functionality or manufacturing characteristics, on which reasoning can be carried out. This has motivated research on feature-based modelling and reasoning. In this paper, an approach is presented to geometric reasoning based on graph grammar parsing. Our approach is presented to geometric reasoning based on graph grammar parsing. Our work combines methodologies from both design by features and feature recognition. A graph grammar is used to represent and manipulate features and geometric constraints. Geometric constraints are used within symbolical definitions of features constraints. Geometric constraints are used within symbolical definitions of features and also to define relative position and orientation of features. The graph grammar parsing is incorporated with knowledge-based inference to derive feature information and propagate constraints. This approach can be used for the transformation of feature information and to deal with feature interaction.

Knowledge Training versus Process Training: The Effects of Training Protocol on Team Coordination and Performance

2007 ◽  
Vol 51 (4) ◽  
pp. 382-386 ◽  
Author(s):  
Jamie C. Gorman ◽  
Nancy J. Cooke ◽  
Jennifer L. Winner ◽  
Jasmine L. Duran ◽  
Harry K. Pedersen ◽  
...  
Keyword(s):  
Team Performance ◽  
Team Coordination ◽  
Knowledge Based ◽  
Cross Training ◽  
High Workload ◽  
Coordination Process ◽  
Aerial Vehicle ◽  
Qualitative Nature ◽  
And Performance ◽  
Training Protocol

Three-person teams controlling a simulated unmanned aerial vehicle underwent different training regimes in order to assess the effect of process-based and knowledge-based training on team coordination and performance. Coordination and performance were assessed during training and eight to eleven weeks after training. Process training consisted of either enforcing a rigid coordination process or forcing teams to coordinate in different ways through the introduction of perturbations. Knowledge training consisted of cross-training teams on each others roles. Results indicate that process training had a significant effect on team coordination. In addition, the qualitative nature of coordination flexibility changed from training to retention for process versus knowledge trained teams, with process teams behaving flexibly at retention. Perturbation process training led to significantly higher team performance under high workload. Rigid process training lead to significantly lower performance in one of the retention missions.

Strategic Orientation and Performance of Istanbul Stock Market Businesses

2019 ◽  
pp. 94-114 ◽  
Author(s):  
Yakup Akgül ◽  
Mustafa Zihni Tunca
Keyword(s):  
Information Systems ◽  
Firm Performance ◽  
Stock Market ◽  
Middle Managers ◽  
Primary Objective ◽  
Strategic Orientation ◽  
Knowledge Based ◽  
Strategic Orientations ◽  
Inferential Analysis ◽  
And Performance

The primary objective of this chapter is to critically examine the effect of strategic orientations on the innovation and the performance of İstanbul stock market businesses in Turkey. The three most comprehensive constructs, namely strategic orientation of business enterprises (STROBE), strategic orientation of information systems (STROIS), and strategic orientation of knowledge-based enterprises (STROKE) instruments, were adopted to present a holistic picture of the effect of strategic orientation on innovation and firm performance. A survey was administered and a sample of 203 middle managers was analyzed using SmartPLS version 3.2.7 for inferential analysis and SPSS version 24 for descriptive insights.

Web Intelligence

Big Data ◽  
2016 ◽  
pp. 711-733 ◽  
Author(s):  
Jafreezal Jaafar ◽  
Kamaluddeen Usman Danyaro ◽  
M. S. Liew
Keyword(s):  
Big Data ◽  
Knowledge Base ◽  
Data Model ◽  
Performance Comparison ◽  
Web Ontology Language ◽  
Web Intelligence ◽  
Knowledge Based ◽  
Ontology Language ◽  
And Performance ◽  
Fuzzy Knowledge

This chapter discusses about the veracity of data. The veracity issue is the challenge of imprecision in big data due to influx of data from diverse sources. To overcome this problem, this chapter proposes a fuzzy knowledge-based framework that will enhance the accessibility of Web data and solve the inconsistency in data model. D2RQ, protégé, and fuzzy Web Ontology Language applications were used for configuration and performance. The chapter also provides the completeness fuzzy knowledge-based algorithm, which was used to determine the robustness and adaptability of the knowledge base. The result shows that the D2RQ is more scalable with respect to performance comparison. Finally, the conclusion and future lines of the research were provided.

Human Cognitive Processes

2009 ◽  
pp. 1-33
Author(s):  
Slava Kalyuga
Keyword(s):  
Working Memory ◽  
Cognitive Architecture ◽  
Human Cognition ◽  
Long Term Memory ◽  
Domain Specific ◽  
Knowledge Based ◽  
Domain Specific Knowledge ◽  
And Performance ◽  
Memory Knowledge ◽  
High Level

One of the major components of our cognitive architecture, working memory, becomes overloaded if more than a few chunks of information are processed simultaneously. For example, we all experience this cognitive overload when trying to keep in memory an unfamiliar telephone number or add two four-digit numbers in the absence of a pen and paper. Similar in nature processing limitations of working memory represent a major factor influencing the effectiveness of human learning and performance, particularly in complex environments that require concurrent performance of multiple tasks. The learner prior domain-specific knowledge structures and associated levels of expertise are considered as means of reducing these limitations and guiding high-level knowledge-based cognitive activities. One of the most important results of studies in human cognition is that the available knowledge is a single most significant learner cognitive characteristic that influences learning and cognitive performance. Understanding the key role of long-term memory knowledge base in our cognition is important to the successful management of cognitive load in multimedia learning.

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