Methods to Improve Our Field
portes grátis
Methods to Improve Our Field
McKenny, Aaron F.; Paroutis, Sotirios; Hill, Aaron D.; O'Kane, Paula
Emerald Publishing Limited
01/2023
192
Dura
Inglês
9781804553657
15 a 20 dias
Descrição não disponível.
Chapter 1. Introduction to Methods to Improve Our Field; Aaron D. Hill, Aaron F. McKenny, Paula O'Kane, and Sotirios Paroutis
Chapter 2. Reimagining Secondary Data in a Digital Age; Katrina Pritchard
Chapter 3. Insights from the Application of Interpretative Phenomenological Analysis in Management Research; Yulia Taylor and Fiona Edgar
Chapter 4. Synthesizing Best Practices for Conducting Dictionary-Based Computerized Text Analysis Research; Shane W. Reid, Aaron F. McKenny, and Jeremy C. Short
Chapter 5. Using Mixed Effect Growth Models To Examine Time as a Predictor of Interest and Between-Firm Differences Over Time; Donald J. Schepker and Paul D. Bliese
Chapter 6. Garbage In, Garbage Out: A Theory-Driven Approach To Improve Data Handling In Supervised Machine Learning; Steven J Hyde, Eric Bachura, and Joseph Harrison
Chapter 7. Artificial Intelligence and Operationalization of Psychological Constructs: The Case of Emotions and Emotional Authenticity of Entrepreneurs during Pitch Presentations; Andreas Schwab, Yanjinlkham Shuumarjav, Jake B. Telkamp, and Jose R. Beltran
Chapter 8. PechaKucha-based Participatory Video for Organizational Research; Timothy Madden, Laura T. Madden, and Anne D. Smith
Chapter 2. Reimagining Secondary Data in a Digital Age; Katrina Pritchard
Chapter 3. Insights from the Application of Interpretative Phenomenological Analysis in Management Research; Yulia Taylor and Fiona Edgar
Chapter 4. Synthesizing Best Practices for Conducting Dictionary-Based Computerized Text Analysis Research; Shane W. Reid, Aaron F. McKenny, and Jeremy C. Short
Chapter 5. Using Mixed Effect Growth Models To Examine Time as a Predictor of Interest and Between-Firm Differences Over Time; Donald J. Schepker and Paul D. Bliese
Chapter 6. Garbage In, Garbage Out: A Theory-Driven Approach To Improve Data Handling In Supervised Machine Learning; Steven J Hyde, Eric Bachura, and Joseph Harrison
Chapter 7. Artificial Intelligence and Operationalization of Psychological Constructs: The Case of Emotions and Emotional Authenticity of Entrepreneurs during Pitch Presentations; Andreas Schwab, Yanjinlkham Shuumarjav, Jake B. Telkamp, and Jose R. Beltran
Chapter 8. PechaKucha-based Participatory Video for Organizational Research; Timothy Madden, Laura T. Madden, and Anne D. Smith
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
Artificial intelligence; Machine learning; Digital data; Organisation; Business; Operations
Chapter 1. Introduction to Methods to Improve Our Field; Aaron D. Hill, Aaron F. McKenny, Paula O'Kane, and Sotirios Paroutis
Chapter 2. Reimagining Secondary Data in a Digital Age; Katrina Pritchard
Chapter 3. Insights from the Application of Interpretative Phenomenological Analysis in Management Research; Yulia Taylor and Fiona Edgar
Chapter 4. Synthesizing Best Practices for Conducting Dictionary-Based Computerized Text Analysis Research; Shane W. Reid, Aaron F. McKenny, and Jeremy C. Short
Chapter 5. Using Mixed Effect Growth Models To Examine Time as a Predictor of Interest and Between-Firm Differences Over Time; Donald J. Schepker and Paul D. Bliese
Chapter 6. Garbage In, Garbage Out: A Theory-Driven Approach To Improve Data Handling In Supervised Machine Learning; Steven J Hyde, Eric Bachura, and Joseph Harrison
Chapter 7. Artificial Intelligence and Operationalization of Psychological Constructs: The Case of Emotions and Emotional Authenticity of Entrepreneurs during Pitch Presentations; Andreas Schwab, Yanjinlkham Shuumarjav, Jake B. Telkamp, and Jose R. Beltran
Chapter 8. PechaKucha-based Participatory Video for Organizational Research; Timothy Madden, Laura T. Madden, and Anne D. Smith
Chapter 2. Reimagining Secondary Data in a Digital Age; Katrina Pritchard
Chapter 3. Insights from the Application of Interpretative Phenomenological Analysis in Management Research; Yulia Taylor and Fiona Edgar
Chapter 4. Synthesizing Best Practices for Conducting Dictionary-Based Computerized Text Analysis Research; Shane W. Reid, Aaron F. McKenny, and Jeremy C. Short
Chapter 5. Using Mixed Effect Growth Models To Examine Time as a Predictor of Interest and Between-Firm Differences Over Time; Donald J. Schepker and Paul D. Bliese
Chapter 6. Garbage In, Garbage Out: A Theory-Driven Approach To Improve Data Handling In Supervised Machine Learning; Steven J Hyde, Eric Bachura, and Joseph Harrison
Chapter 7. Artificial Intelligence and Operationalization of Psychological Constructs: The Case of Emotions and Emotional Authenticity of Entrepreneurs during Pitch Presentations; Andreas Schwab, Yanjinlkham Shuumarjav, Jake B. Telkamp, and Jose R. Beltran
Chapter 8. PechaKucha-based Participatory Video for Organizational Research; Timothy Madden, Laura T. Madden, and Anne D. Smith
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
