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Machine learning approaches to facial and text analysis: Discovering CEO oral communication styles

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Cited by:

  1. Tao Shu & Zhiyi Wang & Ling Lin & Huading Jia & Jixian Zhou, 2022. "Customer Perceived Risk Measurement with NLP Method in Electric Vehicles Consumption Market: Empirical Study from China," Energies, MDPI, vol. 15(5), pages 1-23, February.
  2. Steffen Nauhaus & Johannes Luger & Sebastian Raisch, 2021. "Strategic Decision Making in the Digital Age: Expert Sentiment and Corporate Capital Allocation," Journal of Management Studies, Wiley Blackwell, vol. 58(7), pages 1933-1961, November.
  3. Schwenzow, Jasper & Hartmann, Jochen & Schikowsky, Amos & Heitmann, Mark, 2021. "Understanding videos at scale: How to extract insights for business research," Journal of Business Research, Elsevier, vol. 123(C), pages 367-379.
  4. Wei‐Yen Hsu & Hsien‐Jen Hsu & Yen‐Yao Wang & Tawei Wang, 2022. "Multilayer‐neighbor local binary pattern for facial expression recognition," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 29(3), pages 156-168, July.
  5. Laura Toschi & Elisa Ughetto & Andrea Fronzetti Colladon, 2023. "The identity of social impact venture capitalists: exploring social linguistic positioning and linguistic distinctiveness through text mining," Small Business Economics, Springer, vol. 60(3), pages 1249-1280, March.
  6. Joseph Raffiee & Daniel Fehder & Florenta Teodoridis, 2022. "Revealing the revealed preferences of public firm CEOs and top executives: A new database from credit card spending," Strategic Management Journal, Wiley Blackwell, vol. 43(10), pages 2042-2065, October.
  7. Eero Vaara & Laura Fritsch, 2022. "Strategy as language and communication: Theoretical and methodological advances and avenues for the future in strategy process and practice research," Strategic Management Journal, Wiley Blackwell, vol. 43(6), pages 1170-1181, June.
  8. Antonio Dávila & Martí Guasch, 2022. "Managers’ Body Expansiveness, Investor Perceptions, and Firm Forecast Errors and Valuation," Journal of Accounting Research, Wiley Blackwell, vol. 60(2), pages 517-563, May.
  9. Constance E. Helfat & Aseem Kaul & David J. Ketchen & Jay B. Barney & Olivier Chatain & Harbir Singh, 2023. "Renewing the resource‐based view: New contexts, new concepts, and new methods," Strategic Management Journal, Wiley Blackwell, vol. 44(6), pages 1357-1390, June.
  10. Hoang, Daniel & Wiegratz, Kevin, 2022. "Machine learning methods in finance: Recent applications and prospects," Working Paper Series in Economics 158, Karlsruhe Institute of Technology (KIT), Department of Economics and Management.
  11. Ron Tidhar & Kathleen M. Eisenhardt, 2020. "Get rich or die trying… finding revenue model fit using machine learning and multiple cases," Strategic Management Journal, Wiley Blackwell, vol. 41(7), pages 1245-1273, July.
  12. Sven Kunisch & Markus Menz & David Collis, 2020. "Corporate headquarters in the twenty-first century: an organization design perspective," Journal of Organization Design, Springer;Organizational Design Community, vol. 9(1), pages 1-32, December.
  13. Michael Greiner & Jaemin Kim, 2021. "Corporate political activity and greenwashing: Can CPA clarify which firm communications on social & environmental events are genuine?," Corporate Social Responsibility and Environmental Management, John Wiley & Sons, vol. 28(1), pages 1-10, January.
  14. Yongkyu Choi & Keun Tae Cho, 2021. "Analysis of Environmental Management Characteristics Using Network Analysis of CEO Communication in the Automotive Industry," Sustainability, MDPI, vol. 13(21), pages 1-23, October.
  15. Lu, Qinli & Chesbrough, Henry, 2022. "Measuring open innovation practices through topic modelling: Revisiting their impact on firm financial performance," Technovation, Elsevier, vol. 114(C).
  16. Williamson, Amanda J. & Short, Jeremy C. & Wolfe, Marcus T., 2021. "Standing out in crowdfunded microfinance: A topic modeling approach examining campaign distinctiveness and prosocial performance," Journal of Business Venturing Insights, Elsevier, vol. 16(C).
  17. Majid Majzoubi & Eric Yanfei Zhao, 2023. "Going beyond optimal distinctiveness: Strategic positioning for gaining an audience composition premium," Strategic Management Journal, Wiley Blackwell, vol. 44(3), pages 737-777, March.
  18. Prothit Sen & Phanish Puranam, 2022. "Do Alliance portfolios encourage or impede new business practice adoption? Theory and evidence from the private equity industry," Strategic Management Journal, Wiley Blackwell, vol. 43(11), pages 2279-2312, November.
  19. Liu, Qingfu & Shi, Chen & Tse, Yiuman & Wang, Chuanjie, 2023. "The value of communication during pandemics," Pacific-Basin Finance Journal, Elsevier, vol. 82(C).
  20. Juan Bu & Eric Yanfei Zhao & Krista J. Li & Joanna Mingxuan Li, 2022. "Multilevel optimal distinctiveness: Examining the impact of within‐ and between‐organization distinctiveness of product design on market performance," Strategic Management Journal, Wiley Blackwell, vol. 43(9), pages 1793-1822, September.
  21. Tommy Pan Fang & Andy Wu & David R. Clough, 2021. "Platform diffusion at temporary gatherings: Social coordination and ecosystem emergence," Strategic Management Journal, Wiley Blackwell, vol. 42(2), pages 233-272, February.
  22. Hedviga Tkácová & Martina Pavlíková & Eva Stranovská & Roman Králik, 2023. "Individual (Non) Resilience of University Students to Digital Media Manipulation after COVID-19 (Case Study of Slovak Initiatives)," IJERPH, MDPI, vol. 20(2), pages 1-22, January.
  23. Chan, C.S. Richard & Pethe, Charuta & Skiena, Steven, 2021. "Natural language processing versus rule-based text analysis: Comparing BERT score and readability indices to predict crowdfunding outcomes," Journal of Business Venturing Insights, Elsevier, vol. 16(C).
  24. Milan Miric & Nan Jia & Kenneth G. Huang, 2023. "Using supervised machine learning for large‐scale classification in management research: The case for identifying artificial intelligence patents," Strategic Management Journal, Wiley Blackwell, vol. 44(2), pages 491-519, February.
  25. Prithwiraj Choudhury & Ryan T. Allen & Michael G. Endres, 2021. "Machine learning for pattern discovery in management research," Strategic Management Journal, Wiley Blackwell, vol. 42(1), pages 30-57, January.
  26. Joseph S. Harrison & Matthew A. Josefy & Matias Kalm & Ryan Krause, 2023. "Using supervised machine learning to scale human‐coded data: A method and dataset in the board leadership context," Strategic Management Journal, Wiley Blackwell, vol. 44(7), pages 1780-1802, July.
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