scholarly journals Erratum to: The Spatial Representation of Consumer Dispersion Patterns via a New Multi-level Latent Class Methodology

2021 ◽  
Author(s):  
Sunghoon Kim ◽  
Ashley Stadler Blank ◽  
Wayne S. DeSarbo ◽  
Jeroen K. Vermunt
Keyword(s):  
Spatial Representation ◽  
Latent Class ◽  
Dispersion Patterns ◽  
Multi Level

scholarly journals Refining the classification of knowledge transfer mechanisms for project-to-project knowledge sharing

2017 ◽  
Vol 20 (1) ◽  
Author(s):  
Corro Van Waveren ◽  
Leon Oerlemans ◽  
Tinus Pretorius
Keyword(s):  
Knowledge Transfer ◽  
Knowledge Sharing ◽  
Latent Class ◽  
Project Managers ◽  
Wide Range ◽  
Multi Level ◽  
Multi Method Approach ◽  
Transfer Mechanisms ◽  
Method Approach

Background: The complex, unique and temporary nature of projects makes project-to-project knowledge transfer challenging and has attracted attention from both practitioners and academic scholars. This challenging nature of project-to-project knowledge transfer led to the proliferation of a host of tools and instruments (so-called knowledge transfer mechanisms) in which little structure can be discovered making selection by (project) managers a difficult task.Aim: This article aims to deal with this unstructured proliferation of knowledge transfer mechanisms by empirically categorising these transfer mechanisms, thereby reducing the number of mechanisms to groups that share a common characteristic.Setting: The study takes stock of the wide range of knowledge transfer mechanisms available and analyses them in terms of specific characteristics (e.g. explicitness or reach).Methods: A multi-method approach is used in which a multi-level latent class analysis is applied on data collected via an expert panel.Results: Five categories of transfer mechanisms could be empirically established where these mechanisms showed common characteristics.Conclusion: The taxonomy developed will allow organisations and project managers to more efficiently select appropriate transfer mechanisms for use in project-to-project knowledge transfer.

scholarly journals Distorted mental spatial representation of multi-level buildings - Humans are biased towards equilateral shapes of height and width

2019 ◽  
Vol 9 (1) ◽  
Author(s):  
M. Ertl ◽  
M. Klaus ◽  
T. Brandt ◽  
M. Dieterich ◽  
F. W. Mast
Keyword(s):  
Real World ◽  
Spatial Orientation ◽  
Spatial Representation ◽  
Demographic Data ◽  
Geometric Features ◽  
Estimation Errors ◽  
Multiple Factors ◽  
Multi Level ◽  
Level Building ◽  
Distorted Model

Abstract A distorted model of a familiar multi-level building with a systematic overestimation of the height was demonstrated earlier in psychophysical and real world navigational tasks. In the current study we further investigated this phenomenon with a tablet-based application. Participants were asked to adjust height and width of the presented buildings to best match their memory of the dimensional ratio. The estimation errors between adjusted and true height-width ratios were analyzed. Additionally, familiarity with respect to in- and outside of the building as well as demographic data were acquired. A total of 142 subjects aged 21 to 90 years from the cities of Bern and Munich were tested. Major results were: (1) a median overestimation of the height of the multi-level buildings of 11%; (2) estimation errors were significantly less if the particular building was unknown to participants; (3) in contrast, the height of tower-like buildings was underestimated; (4) the height of long, flat shaped buildings was overestimated. (5) Further features, such as the architectonical complexity were critical. Overall, our internal models of large multi-level buildings are distorted due to multiple factors including geometric features and memory effects demonstrating that such individual models are not rigid but plastic with consequences for spatial orientation and navigation.

Identifying groups of airborne particles by ordination

1994 ◽  
Vol 52 ◽  
pp. 856-857
Author(s):  
M. Shlepr ◽  
C. M. Vicroy
Keyword(s):  
Elemental Analysis ◽  
Energy Dispersive Spectroscopy ◽  
Manufacturing Process ◽  
Spatial Representation ◽  
Airborne Particles ◽  
Common Source ◽  
Data Set ◽  
Microelectronics Industry ◽  
Induced Changes ◽  
Source Materials

The microelectronics industry is heavily tasked with minimizing contaminates at all steps of the manufacturing process. Particles are generated by physical and/or chemical fragmentation from a mothersource. The tools and macrovolumes of chemicals used for processing, the environment surrounding the process, and the circuits themselves are all potential particle sources. A first step in eliminating these contaminants is to identify their source. Elemental analysis of the particles often proves useful toward this goal, and energy dispersive spectroscopy (EDS) is a commonly used technique. However, the large variety of source materials and process induced changes in the particles often make it difficult to discern if the particles are from a common source.Ordination is commonly used in ecology to understand community relationships. This technique usespair-wise measures of similarity. Separation of the data set is based on discrimination functions. Theend product is a spatial representation of the data with the distance between points equaling the degree of dissimilarity.

Sign in / Sign up

Export Citation Format

Share Document