A fuzzy AHP analysis of potential criteria for initiatives in digital transformation for agribusiness

Martins, Fellipe S.; Fornari Junior, João Carlos F. B.; Mazieri, Marcos Rogério; Gaspar, Marcos Antonio

doi:10.1590/1678-6971/eRAMR230055.en

Fellipe S. Martins Correspondence concerning this article should be addressed to Fellipe S. Martins, Rua Vergueiro, 235/249, Liberdade, São Paulo, SP, Brazil, ZIP code 01525-000. Email: fellipemartins@uni9.pro.br

Nove de Julho University, São Paulo, SP, Brazil

Authors’ notes Fellipe S. Martins is now a full professor at the Information Technology and Knowledge Management Graduate School of Nove de Julho University (Universidade Nove de Julho – Uninove); João Carlos F. B. Fornari Junior received his master’s in Information Technology and Knowledge Management from Uninove; Marcos Rogério Mazieri is now a full professor at the Project Management Graduate School of Uninove; Marcos Antonio Gaspar is now a full professor at the Information Technology and Knowledge Management Graduate School of Uninove.

https://orcid.org/0000-0003-3918-7231

João Carlos F. B. Fornari Junior

Nove de Julho University, São Paulo, SP, Brazil

https://orcid.org/0000-0003-4564-9818

Marcos Rogério Mazieri

Nove de Julho University, São Paulo, SP, Brazil

https://orcid.org/0000-0003-1338-3912

Marcos Antonio Gaspar

Nove de Julho University, São Paulo, SP, Brazil

https://orcid.org/0000-0002-2422-2455

Correspondence concerning this article should be addressed to Fellipe S. Martins, Rua Vergueiro, 235/249, Liberdade, São Paulo, SP, Brazil, ZIP code 01525-000. Email: fellipemartins@uni9.pro.br

Authors’ notes

Fellipe S. Martins is now a full professor at the Information Technology and Knowledge Management Graduate School of Nove de Julho University (Universidade Nove de Julho – Uninove); João Carlos F. B. Fornari Junior received his master’s in Information Technology and Knowledge Management from Uninove; Marcos Rogério Mazieri is now a full professor at the Project Management Graduate School of Uninove; Marcos Antonio Gaspar is now a full professor at the Information Technology and Knowledge Management Graduate School of Uninove.

Saaty scale*	Verbal descriptors	Triangular fuzzy numbers (TFN)
1	Equally important	(1, 1, 2)
3	Weakly more important	(2, 3, 4)
5	Moderately more important	(4, 5, 6)
7	Strongly more important	(6, 7, 8)
9	Absolutely more important	(8, 9, 9)

	Criteria	Description	n
Exclusion	Search engine reason (SER)	Only the title, abstract, and keywords are in English but not the full text.	342
	No full text (NF)	The full text is not available.
	Non-related (NR)	The paper is not an academic article (for example, editorial materials, conference reviews, contents, or forewords), or the combination of words in the paper is not related to both digital transformation (DT) and agribusiness.
Exclusion	Loosely related (LR)	The paper does not focus on the review, survey, discussion, or problem-solving of both DT and agribusiness, yet these are part of the argumentation or cited in the paper.	25
Inclusion	Partially related (PR)	DT is used to support the description of some challenges, issues, or trends in agribusiness which a paper intends to deal with or is one of the techniques/ tools employed in the analyses.	87
Inclusion	Closely related (CR)	The research efforts of a paper are explicitly and specifically dedicated to both DT and agribusiness.	87

Criterion	Subcriterion	Description
Knowledge management	Analysis	Knowledge applied to the relationship of information as the basis of the DT process.
	Monitoring	Monitoring of results and direct activities, using digital mechanisms (remote sensing, satellite data, GPS guided machinery, etc.).
	Decision-making	Generation, creation, processing, and sharing of information and knowledge to aid decision-making.
Automation	Planting and harvesting	Implementation of digital processes to increase, control, and automatize planting and harvesting.
	Processing and manufacturing	Control of agricultural processing through digital controls and processes.
	Maintenance	Monitoring and upkeep of processes, machinery, industrial plants etc.
	Technology, machinery, and tools	Technological tools applied to the digitalization process.
Efficiency	Costs	Effective cost control and reduction through digital means.
	Work and personnel	Task, workload, and personnel planning, management, and execution.
	Processes	Business processes planning and execution through digital means.
Continuity	Quality and food safety	Quality control, traceability, testing etc.
Continuity	Environmental sustainability	Legal and institutional procedures concerning the environment and interactions with stakeholders.

Criteria	lw	mw	uw	M_i	N_i
Knowledge management	0.286	0.338	0.398	0.340	0.338
Automation	0.192	0.221	0.254	0.222	0.220
Efficiency	0.282	0.344	0.418	0.348	0.345
Continuity	0.091	0.097	0.105	0.098	0.097

	lw	mw	uw	M_i	N_i
Knowledge management
Analysis	0.277	0.318	0.366	0.320	0.318
Monitoring	0.255	0.285	0.319	0.286	0.285
Decision-making	0.344	0.397	0.457	0.399	0.397
Automation
Planting and harvesting	0.163	0.131	0.108	0.134	0.133
Processing and manufacturing	0.295	0.244	0.196	0.245	0.242
Maintenance	0.200	0.157	0.121	0.159	0.158
Technology and tools	0.544	0.468	0.407	0.473	0.468
Efficiency
Costs	0.299	0.270	0.245	0.271	0.271
Work and personnel	0.412	0.394	0.374	0.393	0.392
Processes	0.368	0.337	0.309	0.338	0.337
Continuity
Quality and food safety	0.527	0.500	0.474	0.500	0.500
Environmental sustainability	0.527	0.500	0.474	0.500	0.500

Criteria	l_ij	m_ij	u_ij
Knowledge management	0.267	0.321	0.362
Automation	0.203	0.232	0.248
Efficiency	0.250	0.289	0.325
Continuity	0.114	0.122	0.128

	L_ij	m_ij	u_ij
Knowledge management
Analysis	0.265	0.319	0.384
Monitoring	0.187	0.224	0.289
Decision-making	0.365	0.378	0.403
Automation
Planting and harvesting	0.161	0.191	0.221
Processing and manufacturing	0.214	0.223	0.247
Maintenance	0.187	0.196	0.204
Technology and tools	0.521	0.535	0.592
Efficiency
Costs	0.178	0.185	0.197
Work and personnel	0.470	0.482	0.493
Processes	0.353	0.390	0.438
Continuity
Quality and food safety	0.419	0.434	0.461
Environmental sustainability	0.615	0.630	0.684

	Location	Profile	Age
1	Brazil	Agriculture and environment secretary of a Southeastern Brazilian state	36
2	Portugal	University researcher in DTA	38
3	Brazil	Board member of an agribusiness multinational corporation	27
4	Brazil	University researcher in DTA	49
5	Austria	Chief executive officer (CEO) at a DTA company	45
6	Brazil	Executive at a Brazilian national organization for small and medium enterprises	53
7	Brazil	Director of research of a Brazilian agribusiness company	50

{\tilde{A}}^{k} = [\begin{matrix} {\tilde{d}}_{11}^{k} {\tilde{d}}_{12}^{k} \dots {\tilde{d}}_{1 n}^{k} \\ {\tilde{d}}_{21}^{k} \dots \dots {\tilde{d}}_{2 n}^{k} \\ \dots \dots \dots \dots \\ {\tilde{d}}_{n 1}^{k} {\tilde{d}}_{n 2}^{k} \dots {\tilde{d}}_{n n}^{k} \end{matrix}]

\tilde{A} = [\begin{matrix} {\tilde{d}}_{11} \dots {\tilde{d}}_{i n} \\ {\tilde{d}}_{21} \dots {\tilde{d}}_{2 n} \\ \dots \dots \dots \\ {\tilde{d}}_{n 1} \dots {\tilde{d}}_{n n} \end{matrix}]

\tilde{D} = \begin{matrix} \begin{matrix} C_{1} & C_{2} & C_{j} & C_{m} \end{matrix} \\ \begin{matrix} \begin{matrix} A_{1} \\ A_{i} \\ A_{n} \end{matrix} & [\begin{matrix} {\tilde{x}}_{11} & {\tilde{x}}_{12} & {\tilde{x}}_{1 j} & {\tilde{x}}_{1 m} \\ ⋮ & ⋮ & ⋮ & ⋮ \\ {\tilde{x}}_{n 1} & {\tilde{x}}_{n 2} & {\tilde{x}}_{n j} & {\tilde{x}}_{n m} \end{matrix}] \end{matrix} \end{matrix}

{\tilde{r}}_{i j} = (\frac{l_{i j}}{u_{j}^{+}}, \frac{m_{i j}}{u_{j}^{+}}, \frac{u_{i j}}{u_{j}^{+}}) and u_{j}^{+} = m a x_{i} u_{i j} (benefit criteria)

{\tilde{r}}_{i j} = (\frac{l_{j}^{-}}{u_{i j}}, \frac{l_{j}^{-}}{m_{i j}}, \frac{l_{j}^{-}}{l_{i j}}) and l_{j}^{-} = m a x_{i} l_{i j} (cost criteria)

d (\tilde{x}, \tilde{z}) = \sqrt{\frac{1}{3} [{(l_{x} - l_{z})}^{2} + {(m_{x} - m_{z})}^{2} + {(u_{x} - u_{z})}^{2}]}

[1] Correspondence concerning this article should be addressed to Fellipe S. Martins, Rua Vergueiro, 235/249, Liberdade, São Paulo, SP, Brazil, ZIP code 01525-000. Email: fellipemartins@uni9.pro.br

Brasil

Brasil

A fuzzy AHP analysis of potential criteria for initiatives in digital transformation for agribusiness

Uma análise fuzzy AHP de critérios potenciais para iniciativas de transformação digital para o agronegócio

ABSTRACT

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