Proceedings of the International Conference on Entrepreneurship, Leadership and Business Innovation (ICELBI 2022)

Analysis of Research Methodology on Institutional-Based Competitiveness of Agricultural Commodities

Authors
Melinda Noer1, Sepris Yonaldi1, *, Yulia Hendri Yeni2, Nofialdi Nofialdi1
1Department of Agricultural, Universitas Andalas, Kampus Limau Manis, 25163, Padang, Indonesia
2Department of Management, Universitas Andalas, Kampus Limau Manis, 25163, Padang, Indonesia
*Corresponding author. Email: seprisyonaldi@gmail.com
Corresponding Author
Sepris Yonaldi
Available Online 10 January 2024.
DOI
10.2991/978-94-6463-350-4_56How to use a DOI?
Keywords
Competitiveness; Institutional; Systematic Literature Review; Agricultural Commodities
Abstract

This study aims to see the novelty of the research methods used by previous studies to study the competitiveness of institutional-based agricultural commodities. For this reason, it is necessary to review the research methods used in previous studies (2015 - 2020). To facilitate researchers in compiling previous research mapping on the study of the competitiveness of institutional-based agricultural commodities, the Systematic Literature Review (SLR) method is used. Used in institutional-based agricultural commodity competitiveness research is quantitative research (6 articles) and qualitative type (5 articles) with descriptive nature and SWOT analysis approach, conjoint pairwise-comparison, interactive model of analysis, scaling index, panzer-rosse index. While the type of research is the mixed method with a data envelopment analysis (DEA) approach, the assumption of variable return to scale (VRS) is only used in 1 article. Weaknesses that exist in this quantitative and qualitative research are descriptive with the SWOT Analysis method, Conjoint Pairwise-Comparison, interactive model of analysis, scaling index, and Panzar-Rosse index. External estimates are only estimated so that it is possible to produce an inaccurate strategy. The number of attributes used in the Conjoint Pairwise-Comparison analysis could be much higher. The choice-based conjoint analysis cannot provide individual-level utility, and researchers develop an aggregate model to represent market preferences.

Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the International Conference on Entrepreneurship, Leadership and Business Innovation (ICELBI 2022)
Series
Advances in Economics, Business and Management Research
Publication Date
10 January 2024
ISBN
978-94-6463-350-4
ISSN
2352-5428
DOI
10.2991/978-94-6463-350-4_56How to use a DOI?
Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

TY  - CONF
AU  - Melinda Noer
AU  - Sepris Yonaldi
AU  - Yulia Hendri Yeni
AU  - Nofialdi Nofialdi
PY  - 2024
DA  - 2024/01/10
TI  - Analysis of Research Methodology on Institutional-Based Competitiveness of Agricultural Commodities
BT  - Proceedings of the International Conference on Entrepreneurship, Leadership and Business Innovation (ICELBI 2022)
PB  - Atlantis Press
SP  - 573
EP  - 581
SN  - 2352-5428
UR  - https://doi.org/10.2991/978-94-6463-350-4_56
DO  - 10.2991/978-94-6463-350-4_56
ID  - Noer2024
ER  -