Tutorial-Articles: The Importance of Data and Code Sharing

this document is designed to be along with those that are in the first edition of the new section of the Journal of Contemporary Administration (RAC): the tutorial-articles section.

Objective:

the purpose is to present the new section and discuss relevant topics of tutorial-articles.

Method:

I divide the document into three main parts. First, I provide a summary of the state of the art in open data and open code at the current date that, jointly, create the context for tutorial-articles. Second, I provide some guidance to the future of the section on tutorial-articles, providing a structure and some insights that can be developed in the future. Third, I offer a short R script to show examples of open data that, I believe, can be used in the future in tutorial-articles, but also in innovative empirical studies.

Conclusion:

finally, I provide a short description of the first tutorial-articles accepted for publication in this current RAC’s edition.

Keywords:
tutorial-article; open data; R script; empirical research; open science

Topic	Comments
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.

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E-mail: rac@anpad.org.br

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