Are Entrepreneurial Cognitions Universal? Assessing Entrepreneurial Cognitions across Cultures

2002 ◽  
Vol 26 (4) ◽  
pp. 9-32 ◽  
Author(s):  
Ronald K. Mitchell ◽  
J. Brock Smith ◽  
Eric A. Morse ◽  
Kristie W. Seawright ◽  
Ana Maria Peredo ◽  
...  
Keyword(s):  
National Culture ◽  
Exploratory Study ◽  
Cross Cultural ◽  
Cultural Setting ◽  
Business People ◽  
Entrepreneurial Cognition ◽  
Research Questions ◽  
Cognition And Culture ◽  
Using Data ◽  
Cognitive Explanation

In this study we examine three research questions concerned with entrepreneurial cognition and culture: (1) Do entrepreneurs have cognitions distinct from those of other business people? (2) To what extent are entrepreneurial cognitions universal? and (3) To what extent do entrepreneurial cognitions differ by national culture? These questions were investigated in an exploratory study using data collected from 990 respondents in eleven countries. We find, in answer to question one, that individuals who possess “professional entrepreneurial cognitions” do indeed have cognitions that are distinct from business non-entrepreneurs. In answer to question two, we report further confirmation of a universal culture of entrepreneurship. And in answer to question three, we find (a) observed differences on eight of the ten proposed cognition constructs, and (b) that the pattern of country representation within an empirically developed set of entrepreneurial archetypes does indeed differ among countries. Our results suggest increasing credibility for the cognitive explanation of entrepreneurial phenomena in the cross-cultural setting.

On the Need to Include National Culture as a Central Issue in E-Commerce Trust Beliefs

2009 ◽  
pp. 384-406 ◽  
Author(s):  
David Gefen ◽  
Tsipi Heart
Keyword(s):  
National Culture ◽  
Exploratory Study ◽  
Power Distance ◽  
Cross Cultural ◽  
Central Issue ◽  
National Cultures ◽  
Cultural Aspects ◽  
Trust Beliefs ◽  
International Phenomenon ◽  
The U.S

Trust and trust beliefs (trustworthiness) are key to e-commerce success but depend, to a large extent, on culture. With e-commerce being an international phenomenon, understanding the cross-cultural aspects of trust creation is therefore arguably required although mostly ignored by current research which deals almost exclusively with the U.S. This exploratory study examines whether definitions of trust beliefs as conceptualized and verified in the U.S. apply in Israel which differs markedly in individualism, uncertainty avoidance, and power distance. The data, crossvalidating the scale of trust and its antecedents in both cultures, generally support the proposition that trust beliefs apply across cultures, and may be a relatively unvarying aspect of e-commerce. However, as expected, the effects of predictability and familiarity on trust beliefs may differ across national cultures. Implications about the need to include national culture in the research on trust, in general, and in e-commerce in particular, are discussed.

Understanding Online Radicalisation Using Data Science

2019 ◽  
pp. 471-486
Author(s):  
Yeslam Al-Saggaf
Keyword(s):  
Machine Learning ◽  
Exploratory Study ◽  
Significant Interaction ◽  
Data Science ◽  
Topic Modelling ◽  
Perceived Injustice ◽  
Research Questions ◽  
The Government ◽  
Using Data ◽  
Larger Sample

What characterises social media radicals? And why some people become attracted to radicalisation? To explore answers to these questions, a number of tweets posted by a group of suspected radicals tweeting in Arabic were analysed using social network analysis and machine learning. The study revealed that these suspected radicals' networks showed significant interaction with others; but this interactivity is only significant quantitatively as the interaction is not reciprocated. With regards to why these suspected radicals became attracted to radicalisation, Topic Modelling revealed these suspected radicals' tweets underpinned a perceived injustice that they believed the Secret Police and the Government inflicted upon them. Overall, the study has shown that data science tools have the potential to inform our understanding of online radicalisation. It is hoped this exploratory study will be the basis for a future study in which the research questions will be answered using a larger sample.

Understanding Online Radicalisation Using Data Science

2016 ◽  
Vol 6 (4) ◽  
pp. 13-27 ◽  
Author(s):  
Yeslam Al-Saggaf
Keyword(s):  
Machine Learning ◽  
Exploratory Study ◽  
Significant Interaction ◽  
Data Science ◽  
Topic Modelling ◽  
Perceived Injustice ◽  
Research Questions ◽  
The Government ◽  
Using Data ◽  
Larger Sample

What characterises social media radicals? And why some people become attracted to radicalisation? To explore answers to these questions, a number of tweets posted by a group of suspected radicals tweeting in Arabic were analysed using social network analysis and machine learning. The study revealed that these suspected radicals' networks showed significant interaction with others; but this interactivity is only significant quantitatively as the interaction is not reciprocated. With regards to why these suspected radicals became attracted to radicalisation, Topic Modelling revealed these suspected radicals' tweets underpinned a perceived injustice that they believed the Secret Police and the Government inflicted upon them. Overall, the study has shown that data science tools have the potential to inform our understanding of online radicalisation. It is hoped this exploratory study will be the basis for a future study in which the research questions will be answered using a larger sample.

Suicidal Ideation Among International Students: The Role of Cultural, Academic, and Interpersonal Factors

2021 ◽  
pp. 001100002110024
Author(s):  
Andrés E. Pérez Rojas ◽  
Na-Yeun Choi ◽  
Minji Yang ◽  
Theodore T. Bartholomew ◽  
Giovanna M. Pérez
Keyword(s):  
International Students ◽  
Suicidal Ideation ◽  
Structural Equation ◽  
Structural Equation Models ◽  
The United States ◽  
Cross Cultural ◽  
Thwarted Belongingness ◽  
Perceived Burdensomeness ◽  
Using Data

We examined two structural equation models of international students’ suicidal ideation using data from 595 international students in two public universities in the United States. The models represented competing hypotheses about the relationships among discrimination, cross-cultural loss, academic distress, thwarted belongingness, perceived burdensomeness, and suicidal ideation. The findings indicated there were direct, positive links between discrimination, cross-cultural loss, and academic distress to perceived burdensomeness; a direct, positive link between perceived burdensomeness and suicidal ideation; and indirect, positive links between discrimination, cross-cultural loss, and academic distress to suicidal ideation via perceived burdensomeness. The only predictors that related to thwarted belongingness were cross-cultural loss and academic distress, and there were no indirect links to suicidal ideation via thwarted belongingness. In fact, with all other variables in the model, thwarted belongingness was unrelated to suicidal ideation. Finally, academic distress was directly related to suicidal ideation. We discuss implications of the findings.

Methodological Issues Regarding Cross-Cultural Studies of Judgments of Facial Expressions

2017 ◽  
Vol 9 (4) ◽  
pp. 375-382 ◽  
Author(s):  
David Matsumoto ◽  
Hyisung C. Hwang
Keyword(s):  
Cultural Studies ◽  
Facial Expressions ◽  
Careful Consideration ◽  
Cross Cultural ◽  
Methodological Issues ◽  
Methodological Errors ◽  
Dependent Variables ◽  
Facial Expressions Of Emotion ◽  
Research Questions ◽  
Cross Cultural Studies

We discuss four methodological issues regarding cross-cultural judgment studies of facial expressions of emotion involving design, sampling, stimuli, and dependent variables. We use examples of relatively recent studies in this area to highlight and discuss these issues. We contend that careful consideration of these, and other, cross-cultural methodological issues can help researchers minimize methodological errors, and can guide the field to address new and different research questions that can continue to facilitate an evolution in the field’s thinking about the nature of culture, emotion, and facial expressions.

Public University Use of Social Infrastructure Public–Private Partnerships (P3s): An Exploratory Examination

2020 ◽  
Vol 25 (3) ◽  
pp. 298-311 ◽  
Author(s):  
Richard L. Levey ◽  
Ashley W. Connors ◽  
Lawrence L. Martin
Keyword(s):  
Exploratory Study ◽  
Public Universities ◽  
Public University ◽  
Student Housing ◽  
Public Private Partnerships ◽  
Housing Project ◽  
Social Infrastructure ◽  
Deep Dive ◽  
History Of ◽  
Using Data

Using data from the 50 states, this exploratory study looks at public university use of public–private partnerships (P3s) for a particular type of social infrastructure, student housing. The relation between state social infrastructure P3s enabling legislation and public university P3 student housing project closures is analyzed. A deep dive is conducted into the legislative requirements of four states (California, Florida, Georgia, and Virginia) that have specific enabling legislation governing public university use of P3s for social infrastructure. The study finds that public universities have a 20-year history of utilizing social infrastructure P3s for student housing. A relationship is found between state social infrastructure P3 enabling legislation and increased public university use of P3s for student housing. The study also finds that states with specific public university P3 social infrastructure enabling legislation place decidedly different requirements on their use.

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