scholarly journals E-perceptions and Business ‘Mating’: The Communication Effects of the Relative Width of Males’ Faces in Business Portraits

2021 ◽  
Vol 12 ◽  
Author(s):  
Eveline van Zeeland ◽  
Jörg Henseler
Keyword(s):  
Field Experiment ◽  
Conjoint Analysis ◽  
Relative Width ◽  
Business Professionals ◽  
Experiment Data ◽  
Height Ratio ◽  
Corporate Website ◽  
Communication Effects ◽  
Business Consultants ◽  
Zero Acquaintance

This study investigates the relative impacts of the facial width-to-height ratio (fWHR) on the first impressions business professionals form of business consultants when seeing their photographs on a corporate website or LinkedIn page. By applying conjoint analysis on field experiment data (n = 381), we find that in a zero-acquaintance situation business professionals prefer low-fWHR business consultants. This implies that they prefer a face that communicates trustworthiness to one that communicates success. Further, we have investigated the words that business professionals use to describe their preferred consultant. These approach motivations help practitioners to improve the picture-text alignment. The results underline the necessity to critically assess the pictures and text used on websites and media platforms such as LinkedIn for business purposes, and to see them as a key element of business and self-communication that can be altered in order to improve business ‘mating.’

Long-term Archive of the DUCK94 Nearshore Field Experiment Data

1999 ◽  
Author(s):  
William Birkemeier ◽  
Kent Hathaway ◽  
Ravi Sinha ◽  
Kossi Edoh ◽  
Awatif Amin ◽  
...  
Keyword(s):  
Field Experiment ◽  
Experiment Data

scholarly journals Inhibition or Facilitation? Contrasted Inter-Specific Interactions in Sphagnum under Laboratory and Field Conditions

Plants ◽  
2020 ◽  
Vol 9 (11) ◽  
pp. 1554
Author(s):  
Chao Liu ◽  
Zhao-Jun Bu ◽  
Azim Mallik ◽  
Yong-Da Chen ◽  
Xue-Feng Hu ◽  
...  
Keyword(s):  
Field Experiment ◽  
Species Interactions ◽  
Laboratory Experiments ◽  
Resource Competition ◽  
Specific Interactions ◽  
Interaction Type ◽  
Negative Effects ◽  
Experiment Data ◽  
The Stability ◽  
Positive Effect

In a natural environment, plants usually interact with their neighbors predominantly through resource competition, allelopathy, and facilitation. The occurrence of the positive effect of allelopathy between peat mosses (Sphagnum L.) is rare, but it has been observed in a field experiment. It is unclear whether the stability of the water table level in peat induces positive vs. negative effects of allelopathy and how that is related to phenolic allelochemical production in Sphagnum. Based on field experiment data, we established a laboratory experiment with three neighborhood treatments to measure inter-specific interactions between Sphagnum angustifolium (Russ.) C. Jens and Sphagnum magellanicum Brid. We found that the two species were strongly suppressed by the allelopathic effects of each other. S. magellanicum allelopathically facilitated S. angustifolium in the field but inhibited it in the laboratory, and relative allelopathy intensity appeared to be positively related to the content of released phenolics. We conclude that the interaction type and intensity between plants are dependent on environmental conditions. The concentration of phenolics alone may not explain the type and relative intensity of allelopathy. Carefully designed combined field and laboratory experiments are necessary to reveal the mechanism of species interactions in natural communities.

Comparison of the results of 85Kr transport modeling with the ACURATE field experiment data

2017 ◽  
Vol 42 (3) ◽  
pp. 168-180 ◽  
Author(s):  
K. G. Rubinshtein ◽  
A. N. Safronov ◽  
D. A. Pripachkin ◽  
R. Yu. Ignatov ◽  
S. V. Emelina ◽  
...  
Keyword(s):  
Field Experiment ◽  
Transport Modeling ◽  
Experiment Data ◽  
Comparison Of The Results

Comparison of Spring Maize Root Water Uptake Models Under Water and Salinity Stress Validated with Field Experiment Data

2015 ◽  
Vol 64 (5) ◽  
pp. 669-682 ◽  
Author(s):  
Qingming Wang ◽  
Zailin Huo ◽  
Shaoyuan Feng ◽  
Chengfu Yuan ◽  
Jianhua Wang
Keyword(s):  
Field Experiment ◽  
Water Uptake ◽  
Salinity Stress ◽  
Root Water Uptake ◽  
Maize Root ◽  
Experiment Data ◽  
Spring Maize

Head waves from thick layers according to field experiment data

1975 ◽  
Vol 17 (12) ◽  
pp. 1427-1439
Author(s):  
A.M. Yepinat'yeva ◽  
M.V. Nevskiy ◽  
O.G. Popova ◽  
N.F. Yukhnin
Keyword(s):  
Field Experiment ◽  
Experiment Data ◽  
Head Waves ◽  
Thick Layers

How to Design Mobile Advertising: A Field Experiment with Wireless Telecommunication Technology

2013 ◽  
Vol 760-762 ◽  
pp. 656-660
Author(s):  
Jue Wang ◽  
Yan Yan Xu ◽  
Jiao Long Xue ◽  
Zheng Fang
Keyword(s):  
Field Experiment ◽  
Poisson Model ◽  
Product Type ◽  
Mobile Advertising ◽  
Experiment Data ◽  
Empirical Results ◽  
Telecommunication Technology ◽  
Instrument Variable ◽  
Wireless Telecommunication ◽  
Rule Out

Although mobile advertising seemingly offers practitioners tremendous potential given the ubiquitous nature of reaching subscribers anywhere, we know very little about it. Base on field experiment data, the developed zero-inflated Poisson model reveals that distance, promotion and product type could affect sales impact of advertising while using wireless telecommunication technology. When estimating the model, we use latent instrument variable (LIV) approach to rule out possible endogeneity problem. The empirical results indicate that distance, promotion, product type trigger sales respectively, while only promotion increases sales amount.

Field experiment data processing of Fourier telescopy based on all phase spectrum analysis

2012 ◽  
Vol 20 (10) ◽  
pp. 2275-2282 ◽  
Author(s):  
于树海 YU Shu-hai ◽  
王建立 WANG Jian-li ◽  
董磊 DONG Lei ◽  
刘欣悦 LIU Xin-yue
Keyword(s):  
Data Processing ◽  
Field Experiment ◽  
Spectrum Analysis ◽  
Phase Spectrum ◽  
Experiment Data

Study on Method of Recognizing Characteristics of Pipeline Leakage Acoustic Signals

2006 ◽  
Author(s):  
Likun Wang ◽  
Dongjie Tan ◽  
Yongjun Cai ◽  
SongGuang Fu ◽  
Jian Li ◽  
...  
Keyword(s):  
Neural Network ◽  
Field Experiment ◽  
Frequency Band ◽  
Bp Neural Network ◽  
Acoustic Signals ◽  
Pressure Variation ◽  
Experimental Results ◽  
Acoustic Sensors ◽  
Experiment Data

Wavelet package and neural network are used to recognize the characteristics of pipeline leakage acoustic signals. Acoustic signals produced by pressure variation of pipelines can be detected by the acoustic sensors installed on the pipelines. The detecting accuracy can be increased with recognizing the acoustic signals correctly. The method to detect acoustic signals by combining the wavelet package and neural network is introduced in this paper. The signal is decomposed with wavelet package firstly, then the decomposed coefficients in each frequency band are obtained through reconstruction. As a result, the parameters of the new sequences reconstructed on every decomposed node are acquired, and then these parameters are input to BP neural network to recognize the fault reason intelligently. At the end of the paper, field experiment data and their analyzed results are studied. The experimental results are provided to show that the proposed method can increase the accuracy efficiently.

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