Sangharsha Thapa
Biographic Data
| ID | 88369 |
|---|---|
| NAME | Sangharsha Thapa |
| GIVEN NAMES | Sangharsha |
| FAMILY NAME | Thapa |
| SIGNATURE | THAPA S |
| AFFILIATIONS | University of Tulsa |
| ORCID | 0000-0002-0740-7204 |
| VERIFIED | Yes |
| TOTAL WORKS | 7 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 7 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2019 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Bridging Cultures in the Era of Big Data
Past research on cross-cultural equivalence has focused on statistical procedures and techniques for ensuring measurement equivalence in tests and surveys. With the rise of big data and machine learning (ML), particularly natural language processing, researchers have powerful tools to study culture using large-scale, organic language data from social media. However, the lack of methodological guidance on how to establish cross-language equivalenc…
Towards a personalized happiness approach to capturing change in satisfaction
Development and validation of the Mechanisms of Engagement in the Arts and Humanities scales
Implications of Social Media for a Changing Work Landscape
More than half of the global population now uses social media. This technological ubiquity has transformed the way that individuals communicate and engage with the world around them, and consequently has had drastic effects on modern work. In the 20 years since early social media platforms such as LinkedIn and Myspace were first launched, much research on the consequences of social media has been conducted in the fields of organizational psycholo…
Cardiovascular disease risk factors distribution and clustering across different geographic levels in Nepal
BACKGROUND: In an effort to reduce the burgeoning problem of cardiovascular diseases (CVD), it is imperative to understand the variation of risk factors across different geographic regions. This study aims to shed light on examining the leading risk factors of CVD and it's clustering across Nepal. METHODS: Data from a nationally representative survey were analyzed to estimate the distribution of four major risk factors (high blood pressure, overw…
Using Social Media to Assess Expressions of Gratitude to God
With the proliferation of technology-based communication, public expressions of gratitude to God on social media have become more pervasive. At the same time, data science approaches are increasingly being applied to social media language data to assess positive human attributes. We elucidate critical considerations in assessing public expressions of gratitude to God, including language variability and comparability, degree of authenticity, machi…
Positive Emotions at Work
Positive organizational scholarship has led to a growing interest in the critical role of positive emotions for the lives of both workers and organizations. We review and integrate the different perspectives on positive emotions (i.e., positive valence, positive emotion regulation strategies, and positive adaptive function) and the four main mechanisms (i.e., cognition, affect, behavior, and physiology) that lead to positive organizational outcom…
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Positive Emotions at Work
Positive organizational scholarship has led to a growing interest in the critical role of positive emotions for the lives of both workers and organizations. We review and integrate the different perspectives on positive emotions (i.e., positive valence, positive emotion regulation strategies, and positive adaptive function) and the four main mechanisms (i.e., cognition, affect, behavior, and physiology) that lead to positive organizational outcom…
Cardiovascular disease risk factors distribution and clustering across different geographic levels in Nepal
BACKGROUND: In an effort to reduce the burgeoning problem of cardiovascular diseases (CVD), it is imperative to understand the variation of risk factors across different geographic regions. This study aims to shed light on examining the leading risk factors of CVD and it's clustering across Nepal. METHODS: Data from a nationally representative survey were analyzed to estimate the distribution of four major risk factors (high blood pressure, overw…
Using Social Media to Assess Expressions of Gratitude to God
With the proliferation of technology-based communication, public expressions of gratitude to God on social media have become more pervasive. At the same time, data science approaches are increasingly being applied to social media language data to assess positive human attributes. We elucidate critical considerations in assessing public expressions of gratitude to God, including language variability and comparability, degree of authenticity, machi…
Implications of Social Media for a Changing Work Landscape
More than half of the global population now uses social media. This technological ubiquity has transformed the way that individuals communicate and engage with the world around them, and consequently has had drastic effects on modern work. In the 20 years since early social media platforms such as LinkedIn and Myspace were first launched, much research on the consequences of social media has been conducted in the fields of organizational psycholo…
Development and validation of the Mechanisms of Engagement in the Arts and Humanities scales
Towards a personalized happiness approach to capturing change in satisfaction
Bridging Cultures in the Era of Big Data
Past research on cross-cultural equivalence has focused on statistical procedures and techniques for ensuring measurement equivalence in tests and surveys. With the rise of big data and machine learning (ML), particularly natural language processing, researchers have powerful tools to study culture using large-scale, organic language data from social media. However, the lack of methodological guidance on how to establish cross-language equivalenc…
Computer Science (3 works) · Psychology (3 works) · Social media (3 works) · Social Psychology (3 works) · Psychological Well-being and Life Satisfaction (2 works) · Sociology (2 works) · Work (physics (2 works) · World Wide Web (2 works) · Aging and Gerontology Research (1 work) · Art (1 work)