Network Structures and Performance: Evidence from Post-Project Spinoff Activities of a Collaborative Public Program

2020 ◽  
pp. 1-10 ◽  
Author(s):  
Manoj K. Shrestha
Keyword(s):  
Network Structures ◽  
Public Program ◽  
And Performance

Global network coopetition, firm innovation and value creation

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Mouhoub Hani ◽  
Giovanni-Battista Dagnino
Keyword(s):  
New Product Development ◽  
Multinational Enterprises ◽  
Performance Outcomes ◽  
Innovation Performance ◽  
Global Network ◽  
Network Structures ◽  
Firm Innovation ◽  
Global Networks ◽  
Content Type ◽  
And Performance

Purpose Studies on inter-firm relationships have recently shifted their attention from dyadic networks to more globally driven network structures. This condition occurs because embeddedness in global network structures may improve firm innovation and performance. In addition, the improvement of firm innovativeness and performance seems higher when globally networked firms both compete and cooperate between and among them. In this paper, we categorize the simultaneous interplay of cooperation and competition in the global arena as global network coopetition (GNC). Under GNC, multinational enterprises act jointly with their global partners-rivals to improve performance, at the same time by sharing complementary resources (cooperation side) and by undertaking independent actions to enhance their own performance (competition side). This paper aims to expand existing research on network and global coopetition by shedding light on the effects of coopetition between and among firms belonging to global network structures on value capture and innovation performance. Design/methodology/approach Using a sample of 100 firms belonging to 14 industries organized in 47 global networks of different sizes, the authors conducted a longitudinal empirical study over the period 2000-2014 covering 1,098 observations, 1,717 interfirm relationships and 78 inter-networks linkages. A multiple regression model on panel data with random effects was conducted on the sample of 1,098 observations related to the global automotive industry to test the research hypotheses. Findings Findings show that GNC enhances firm performance and innovation outcomes. In addition to GNC, structural characteristics such as network size, network position and network diversity have significant positive or negative effects on innovation and performance outcomes of firms belonging to these global network structures. Research limitations/implications Our research offers a contribution to the literature dealing with global networked structures’ effects on firm innovation performance. In fact, it effectively complements prior work on outcomes of coopetition between firms embedded in complex network structures. It also advances research in the area by introducing the notion of GNC as a network by which firms can enhance their innovation performance and, therefore, their global innovation performance. This study has some limitations. First, we acknowledge that it is focused only on 14 global coopetitive networks. It could be promising to extend the scope to integrate other networks. Second, our measures of firm actions as based on a content analysis of news reports related to firms. It would be important to complement this data collection by conducting a qualitative analysis (interviews). Atlast, it could be promising to include the study of customer needs in the new product development process. Practical implications Our study also offers some insights into the management of coopetition. In fact, by taking into account the existence of a context in which global coopetition networks play a role, managers may be better positioned to effectively deal with the paradox of being a partner of their direct rivals to improve their firms’ innovativeness and, consequently, achieve good performance, on the one hand, and to maintain relationships within several networks by taking into account their structural properties such as centrality and diversity, on the other hand. Originality/value We contribute to extant network coopetition literature in two ways. First, we introduce the notion of GNC to detect coopetition occurrence in global network structures. GNC refers to a context where actors in various networks belonging to different industries and geographies cooperate in a one (or more) innovative project/s, while simultaneously keeping on competing within and between their networks. Second, we contribute to network coopetition by analyzing specific GNC effects on firm innovation performance. In so doing, we can provide a deeper analytical understanding of GNC performance effects on firms operating in global network contexts.

NETWORK STRUCTURES, INDIVIDUAL BEHAVIOR AND PERFORMANCE IN ORGANIZATIONS.

2007 ◽  
Vol 2007 (1) ◽  
pp. 1-6
Author(s):  
VANINA TORLO' ◽  
CHRISTIAN STEGLICH ◽  
ALESSANDRO LOMI ◽  
TOM SNIJDERS
Keyword(s):  
Individual Behavior ◽  
Network Structures ◽  
And Performance

scholarly journals Guiding Neuroevolution with Structural Objectives

2020 ◽  
Vol 28 (1) ◽  
pp. 115-140 ◽  
Author(s):  
Kai Olav Ellefsen ◽  
Joost Huizinga ◽  
Jim Torresen
Keyword(s):  
Neural Network ◽  
Neural Networks ◽  
Evolutionary Algorithms ◽  
Network Structure ◽  
Structural Diversity ◽  
Network Structures ◽  
Improve Performance ◽  
Modular Neural Networks ◽  
And Performance ◽  
High Diversity

The structure and performance of neural networks are intimately connected, and by use of evolutionary algorithms, neural network structures optimally adapted to a given task can be explored. Guiding such neuroevolution with additional objectives related to network structure has been shown to improve performance in some cases, especially when modular neural networks are beneficial. However, apart from objectives aiming to make networks more modular, such structural objectives have not been widely explored. We propose two new structural objectives and test their ability to guide evolving neural networks on two problems which can benefit from decomposition into subtasks. The first structural objective guides evolution to align neural networks with a user-recommended decomposition pattern. Intuitively, this should be a powerful guiding target for problems where human users can easily identify a structure. The second structural objective guides evolution towards a population with a high diversity in decomposition patterns. This results in exploration of many different ways to decompose a problem, allowing evolution to find good decompositions faster. Tests on our target problems reveal that both methods perform well on a problem with a very clear and decomposable structure. However, on a problem where the optimal decomposition is less obvious, the structural diversity objective is found to outcompete other structural objectives—and this technique can even increase performance on problems without any decomposable structure at all.

Problem behavior in autism spectrum disorders: A paradigmatic self-organized perspective of network structures

2019 ◽  
Vol 42 ◽  
Author(s):  
Lucio Tonello ◽  
Luca Giacobbi ◽  
Alberto Pettenon ◽  
Alessandro Scuotto ◽  
Massimo Cocchi ◽  
...  
Keyword(s):  
Autism Spectrum Disorder ◽  
Problem Behaviors ◽  
Autism Spectrum ◽  
The Self ◽  
Network Structures ◽  
Self Organized ◽  
Critical Equilibrium ◽  
Self Organized Criticality ◽  
Acute Agitation ◽  
Spectrum Disorders

AbstractAutism spectrum disorder (ASD) subjects can present temporary behaviors of acute agitation and aggressiveness, named problem behaviors. They have been shown to be consistent with the self-organized criticality (SOC), a model wherein occasionally occurring “catastrophic events” are necessary in order to maintain a self-organized “critical equilibrium.” The SOC can represent the psychopathology network structures and additionally suggests that they can be considered as self-organized systems.

Transmission Scanning Electron Microscopy and Energy Analysis with the Siemens ELMISKOP 101

1972 ◽  
Vol 30 ◽  
pp. 450-451
Author(s):  
H. M. Thieringer
Keyword(s):  
Objective Lens ◽  
Transmission Microscopy ◽  
Image Recording ◽  
Mode Of Operation ◽  
Scanning Transmission ◽  
Electron Microscopes ◽  
And Performance ◽  
Convergent Beam ◽  
Ray Path ◽  
Beam Diffraction

It has repeatedly been show that with conventional electron microscopes very fine electron probes can be produced, therefore allowing various micro-techniques such as micro recording, X-ray microanalysis and convergent beam diffraction. In this paper the function and performance of an SIEMENS ELMISKOP 101 used as a scanning transmission microscope (STEM) is described. This mode of operation has some advantages over the conventional transmission microscopy (CTEM) especially for the observation of thick specimen, in spite of somewhat longer image recording times.Fig.1 shows schematically the ray path and the additional electronics of an ELMISKOP 101 working as a STEM. With a point-cathode, and using condensor I and the objective lens as a demagnifying system, an electron probe with a half-width ob about 25 Å and a typical current of 5.10-11 amp at 100 kV can be obtained in the back focal plane of the objective lens.

Angular Resolved Electron Spectroscopy with Parallel Recording

1990 ◽  
Vol 48 (2) ◽  
pp. 370-371
Author(s):  
Huang Min ◽  
P.S. Flora ◽  
C.J. Harland ◽  
J.A. Venables
Keyword(s):  
Electron Spectroscopy ◽  
Low Voltage ◽  
Solid Angle ◽  
Detection System ◽  
Voltage Electron ◽  
Cylindrical Mirror ◽  
Inner Radius ◽  
Channel Plate ◽  
And Performance ◽  
Type Detector

A cylindrical mirror analyser (CMA) has been built with a parallel recording detection system. It is being used for angular resolved electron spectroscopy (ARES) within a SEM. The CMA has been optimised for imaging applications; the inner cylinder contains a magnetically focused and scanned, 30kV, SEM electron-optical column. The CMA has a large inner radius (50.8mm) and a large collection solid angle (Ω > 1sterad). An energy resolution (ΔE/E) of 1-2% has been achieved. The design and performance of the combination SEM/CMA instrument has been described previously and the CMA and detector system has been used for low voltage electron spectroscopy. Here we discuss the use of the CMA for ARES and present some preliminary results.The CMA has been designed for an axis-to-ring focus and uses an annular type detector. This detector consists of a channel-plate/YAG/mirror assembly which is optically coupled to either a photomultiplier for spectroscopy or a TV camera for parallel detection.

Novel epoxy/anhydride alternatives for biological electron microscopy: Physical and performance characteristis of embed 812 and LX 112 in combination with NSA/NMA/DMAE

1989 ◽  
Vol 47 ◽  
pp. 1000-1001
Author(s):  
Joe A. Mascorro ◽  
Gerald S. Kirby
Keyword(s):  
Electron Microscopy ◽  
Flow Rate ◽  
Succinic Anhydride ◽  
Volume Flow Rate ◽  
Mass Density ◽  
Uranyl Acetate ◽  
Volume Flow ◽  
Base Resin ◽  
And Performance ◽  
Acid Anhydrides

Embedding media based upon an epoxy resin of choice and the acid anhydrides dodecenyl succinic anhydride (DDSA), nadic methyl anhydride (NMA), and catalyzed by the tertiary amine 2,4,6-Tri(dimethylaminomethyl) phenol (DMP-30) are widely used in biological electron microscopy. These media possess a viscosity character that can impair tissue infiltration, particularly if original Epon 812 is utilized as the base resin. Other resins that are considerably less viscous than Epon 812 now are available as replacements. Likewise, nonenyl succinic anhydride (NSA) and dimethylaminoethanol (DMAE) are more fluid than their counterparts DDSA and DMP- 30 commonly used in earlier formulations. This work utilizes novel epoxy and anhydride combinations in order to produce embedding media with desirable flow rate and viscosity parameters that, in turn, would allow the medium to optimally infiltrate tissues. Specifically, embeding media based on EmBed 812 or LX 112 with NSA (in place of DDSA) and DMAE (replacing DMP-30), with NMA remaining constant, are formulated and offered as alternatives for routine biological work.Individual epoxy resins (Table I) or complete embedding media (Tables II-III) were tested for flow rate and viscosity. The novel media were further examined for their ability to infilftrate tissues, polymerize, sectioning and staining character, as well as strength and stability to the electron beam and column vacuum. For physical comparisons, a volume (9 ml) of either resin or media was aspirated into a capillary viscocimeter oriented vertically. The material was then allowed to flow out freely under the influence of gravity and the flow time necessary for the volume to exit was recored (Col B,C; Tables). In addition, the volume flow rate (ml flowing/second; Col D, Tables) was measured. Viscosity (n) could then be determined by using the Hagen-Poiseville relation for laminar flow, n = c.p/Q, where c = a geometric constant from an instrument calibration with water, p = mass density, and Q = volume flow rate. Mass weight and density of the materials were determined as well (Col F,G; Tables). Infiltration schedules utilized were short (1/2 hr 1:1, 3 hrs full resin), intermediate (1/2 hr 1:1, 6 hrs full resin) , or long (1/2 hr 1:1, 6 hrs full resin) in total time. Polymerization schedules ranging from 15 hrs (overnight) through 24, 36, or 48 hrs were tested. Sections demonstrating gold interference colors were collected on unsupported 200- 300 mesh grids and stained sequentially with uranyl acetate and lead citrate.

Trace nanoanalysis

1994 ◽  
Vol 52 ◽  
pp. 940-941
Author(s):  
D. E. Newbury ◽  
R. D. Leapman
Keyword(s):  
High Performance ◽  
Secondary Ion Mass Spectrometry ◽  
Detection Efficiency ◽  
Volume Element ◽  
And Performance ◽  
Trace Constituents ◽  
Secondary Ion ◽  
Concentration Levels ◽  
Structure Properties

Trace constituents, which can be very loosely defined as those present at concentration levels below 1 percent, often exert influence on structure, properties, and performance far greater than what might be estimated from their proportion alone. Defining the role of trace constituents in the microstructure, or indeed even determining their location, makes great demands on the available array of microanalytical tools. These demands become increasingly more challenging as the dimensions of the volume element to be probed become smaller. For example, a cubic volume element of silicon with an edge dimension of 1 micrometer contains approximately 5×1010 atoms. High performance secondary ion mass spectrometry (SIMS) can be used to measure trace constituents to levels of hundreds of parts per billion from such a volume element (e. g., detection of at least 100 atoms to give 10% reproducibility with an overall detection efficiency of 1%, considering ionization, transmission, and counting).

Relationship of stress and performance among first-year dental students

1986 ◽  
Vol 50 (5) ◽  
pp. 264-267 ◽  
Author(s):  
GH Westerman ◽  
TG Grandy ◽  
JV Lupo ◽  
RE Mitchell
Keyword(s):  
Dental Students ◽  
First Year ◽  
And Performance ◽  
Relationship Of
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