Statistical analysis (in a broad sense) |
A tutorial-article that deals with statistical-related issues, such as those discussed in Harvey (2017)Harvey, C. R. (2017). Presidential address: The scientific outlook in financial economics. The Journal of Finance, 72(4), 1399-1440. https://doi.org/10.1111/jofi.12530 https://doi.org/10.1111/jofi.12530...
and Babin, Ortinau, Herrmann and Lopez (2020)Babin, B. J., Ortinau, D. J., Herrmann, J. L., & Lopez, C. (2020). Science is about corroborating empirical evidence, even in academic business research journals. Journal of Business Research. https://doi.org/10.1016/j.jbusres.2020.06.002 https://doi.org/10.1016/j.jbusres.2020.0...
, seems to be quite relevant to our community. |
Factor analysis and principal component analyses, response item theory, Guttmann's analyses, Cronbach's alpha, etc. |
This is a topic highly relevant to research in management, and very often researchers have questions about rotation techniques, differences between an exploratory and confirmatory factor analysis, etc. |
Replication studies |
With the increased volume of open data around the world, data reuse becomes a topic of greater relevance. Thus, a tutorial-article discussing how to replicate a published study seems worth exploring. |
Semantic analysis, sentiment analysis, etc. |
A tutorial-article with applications, particularly but not exclusively, to marketing and organizational research about semantic, sentiment analyses, also seems to be a real contribution to this literature. |
Social network analysis, graph theory, etc. |
Tutorial-articles dealing with these topics in an environment of big data seem worth exploring. |
Endogeneity issues, instrumental variables, causal models, matching techniques, regression discontinuity designs, synthetic control models, and randomized control trials |
These topics usually demand high-skilled treatments and corrections and non-intuitive techniques to mitigate biases and find proper estimations. Thus, I believe that these topics represent a fruitful arena to tutorial-articles. Schiozer, Mourad and Martins (2021)Schiozer, R. F., Mourad, F. A., & Martins, T. C. (2021). A tutorial on the use of differences-in-differences in management, finance, and accounting. RAC - Revista de Administração Contemporânea, 25(1), e200067. https://doi.org/10.1590/1982-7849rac2021200067 https://doi.org/10.1590/1982-7849rac2021...
is an unparalleled first step, but so much more is needed here. |
Linear models, limited dependent variables, panel data techniques, etc. |
These methods are used throughout several types of management articles. Econometric books are often too technical, making non-experts less likely to use them or more likely to make mistakes. Thus, tutorial-articles guiding the use of these methods to an audience of non-experts, given that they provide a real contribution over an econometric book, are always welcome. |
Time-series modeling, time-series forecast, volatility modeling, AR and MA models, etc. |
These topics are frequently used in financial markets, and tutorials dealing with the micro-decisions on these models seem beneficial to the community. |
Machine learning, techniques to handle big data, etc. |
Big data is already a current topic, so we all need to be able to manage it. Thus, tutorial-articles that handle the specificities of big data in management research are also welcome. |
Simulation methods and optimization methods |
While frequently used in operations research, these techniques are sometimes misinterpreted by non-experts. Thus, a tutorial-article showing the correct application in a management-related example seems beneficial to the community. |
Data visualization |
Data visualization is one of the primary issues in big data analytics. Thus, a tutorial-article exploring how to visualize the data frequently used in management research effectively would contribute to the community. |
Accounting-related issues, earnings management, disclosure quality assessment, etc. |
These are accounting-related issues that demand several micro-decisions, leading to significant variability and difficulties in estimations. Thus, tutorial-articles about these topics are quite interesting to those researchers working at the interface between management and accounting. |