Writing the Deal: Statistical Analysis of Brazilian Business Negotiations on Intangible Assets
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In times of coronavirus pandemic, and consequently, lockdowns, home office, social isolation, delta, and omicron variants, the development of writing negotiation skills are critical for success in business negotiations. These days, instant messaging and e-mail, two ubiquitous forms of electronic communication are used on a large scale, as an alternative to face-to-face negotiations. However, business asynchronous negotiations have their difficulty levels and pitfalls. This article addressed the challenges of asynchronous communication through the statistical analysis of N=1,400 Brazilian business negotiations on intangible assets. Key findings pointed out a strong, positive correlation between open and close value deals (ρ = 0.939, p < 0.010). The linear regression analysis showed significant non-parametric residuals. Moreover, the average between open and close values is 11.4 percent. We found evidence that anchoring is significant in business asynchronous negotiation on intangible assets. The conclusions are limited to the data set under investigation. The article provides scholars, negotiators, and practitioners with a perspective on the writing negotiation through e-mail or instant messaging.
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References
-
Ariely, Dan (2008). Predictably Irrational. USA: Harper Collins.
Google Scholar
1
-
Bazerman, Max; Moore, Don A. (2009) Judgment in Managerial Decision Making. USA: John Wiley and Sons Inc., 7th edition.
Google Scholar
2
-
Cunha, N.C., Dias, M. (2021) Contract Negotiation: When the Detail Saved the Day.GSJ 9(12), 130-141; doi: 10.11216/gsj.2021.12.56418.
Google Scholar
3
-
Dias, M. (2020) The Four-Type Negotiation Matrix: A Model for Assessing Negotiation Processes. British Journal of Education, 8(5), 40-57. doi: 10.6084/m9.figshare.12389627.
Google Scholar
4
-
Dias, M. (2020b) Predictive Model on Intangible Assets Negotiation: Linear Regression Analysis. Journal of Xidian University, 14(7), 1420-1433. doi: 10.37896/jxu14.7/161.
Google Scholar
5
-
Dias, M. (2020b) Structured versus Situational Business Negotiation Approaches. Journal of Xidian University, 14(6), 1591 - 1604. doi: 10.37896/jxu14.6/192.
Google Scholar
6
-
Dias, M. et al. (2014). Dudalina S/A: Case Study on How to Overcome Succession Barriers on a Brazilian Family Business. Business and Management Review, 3(12), 217-229. doi: 10.6084/m9.figshare.7834748.
Google Scholar
7
-
Dias, M. et al. (2015). Brazilian Fashion Business Dudalina S/A: Case Revisited. International Journal of Business and Management Studies, 4(1), 11-24. doi: 10.6084/m9.figshare.7834730.
Google Scholar
8
-
Dias, M., Lopes, R., Cavalcanti, G., Golfetto, V. (2020) Role-Play Simulation on Software Contract Negotiation. Global Scientific Journals, 8(6), 1-10. doi: 10.11216/gsj.2020.06.40176.
Google Scholar
9
-
Dias, M., Lopes, R., Duzert, Y. (2020) Mapping the Game: Situational versus Structured Negotiations. Saudi Journal of Economics and Finance, 4(6): 271-275. doi: 10.36348/sjef.2020.v04i06.012.
Google Scholar
10
-
Dias, M.; Davila Jr., E. (2018) Overcoming Succession Conflicts in a Limestone Family Business In Brazil. International Journal of Business and Management Review, 6(7), 58-73. doi: 10.6084/m9.figshare.7834703.
Google Scholar
11
-
Dias, M.; Duzert, Y. (2017). Teaching Materials: Role Play Simulation on E-Business Negotiation. European Journal of Training and Development Studies, 4(3), 1-15. doi: 10.6084/m9.figshare.7834655.
Google Scholar
12
-
Dias, M.; Ramos, M. (2018). Credit Cooperatives in Brazil. International Journal of Science and Research (IJSR), 7(10), 598-603. doi: 10.21275/ART20191901.
Google Scholar
13
-
Dias, M.; Silva, Cleber A.; Lund, Myrian (2019) Brazilian Credit Cooperatives: Cresol Confederation Case. IOSR Journal of Business and Management, 21(5), 11-19. doi: 10.9790/487X-2105051119.
Google Scholar
14
-
Dias, M.; Teles, Andre (2018). Agriculture Cooperatives in Brazil and the Importance for The Economic Development. International Journal of Business Research and Management, 9(2), 72-81. doi: 10.6084/m9.figshare.7832354.
Google Scholar
15
-
Dias, M.; Teles, Andre (2019). A Comprehensive Overview of Brazilian Legislation on Credit Cooperatives. Global Journal of Politics and Law Research, 7(4), 1-12. doi: 10.13140/RG.2.2.25054.28488.
Google Scholar
16
-
Fisher, R. Ury, W. & Patton, B (Editor). (1981). Getting to Yes: Negotiating an Agreement without Giving in. US: Random House.
Google Scholar
17
-
Kahneman, Daniel; Slovic, Paul; Tversky, Amos. (1982). Judgment under Uncertainty: Heuristics and Biases. New York: Cambridge University Press.
Google Scholar
18
-
Salacuse, J. (2008). Seven Secrets for Negotiating with Government: How to Deal with Local, State, National, Or Foreign Governments – And Come Out Ahead. New York: Amacom.
Google Scholar
19