Characteristics of Brazilian scientific research on diffusion of innovations in business administration

Bianchi, Caio Giusti; Figueiredo, Júlio César Bastos de

doi:10.1016/j.rai.2017.07.004

Cited by 4 publications

(2 citation statements)

References 31 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…As a result of comparing these theories and considering that the TPB provides a solid conceptual framework [92] to structure the research, this work applies the TPB. This choice is also justified by the attention to human behavior when the person has partial control over the decision making [93], characteristic of the PA context in which access to information is a barrier for the adoption [16,94]. New PA technologies are often produced through developers, and there is a large knowledge gap between developers and users [95].…”

Section: Operations Management In Agriculture and In Irrigationmentioning

confidence: 99%

Proposal of a Model of Irrigation Operations Management for Exploring the Factors That Can Affect the Adoption of Precision Agriculture in the Context of Agriculture 4.0

Monteleone,

Alves de Moraes,

Protil

et al. 2024

Agriculture

View full text Add to dashboard Cite

Agriculture is undergoing a profound change related to Agriculture 4.0 development and Precision Agriculture adoption, which is occurring at a slower pace than expected despite the abundant literature on the factors explaining this adoption. This work explores the factors related to agricultural Operations Management, farmer behavior, and the farmer mental model, topics little explored in the literature, by applying the Theory of Planned Behavior. Considering the exploratory nature of this work, an exploratory multi-method is applied, consisting of expert interviews, case studies, and modeling. This study’s contributions are a list of factors that can affect this adoption, which complements previous studies, theoretical propositions on the relationships between these factors and this adoption, and a model of irrigation Operations Management built based on these factors and these propositions. This model provides a theoretical framework to study the identified factors, the relationships between them, the theoretical propositions, and the adoption of Precision Agriculture. Furthermore, the results of case studies allow us to explore the relationships between adoption, educational level, and training. The identified factors and the model contribute to broadening the understanding of Precision Agriculture adoption, adding Operations Management and the farmer mental model to previous studies. A future research agenda is formulated to direct future studies.

show abstract

Section: Operations Management In Agriculture and In Irrigationmentioning

confidence: 99%

Proposal of a Model of Irrigation Operations Management for Exploring the Factors That Can Affect the Adoption of Precision Agriculture in the Context of Agriculture 4.0

Monteleone,

Alves de Moraes,

Protil

et al. 2024

Agriculture

View full text Add to dashboard Cite

show abstract

“…The succeeding generations of sensor technology products are introduced in the same product family in a low innovated industry whilst product success is based on mode(2) The planning horizon of sensor technology products is adequately extended, and the product life cycle is short in order to be able to plan for several product generations(3) The manufacturer of sensor technology products employs the solo-product roll; previous product inventory is depleted by the time the new product is introduced The modified Bass model considering the price of sensor technology products is applied for each product's demand (Variable costs and demand of sensor technology products are considered dependent and uncertain, respectively Demand backlogs of sensor technology products are not allowed, and unsatisfied demand is considered as lost sales(7) The manufacturer of sensor technology products operates in a monopolistic market, and the diminutive competitors are not capable of affecting the market3.2. Modeling.…”

mentioning

confidence: 99%

The Simulation of Implications of Sensor Technology on the New Product Development to Solve Lot-Sizing Problems with Fuzzy Approach

Gaol

Matsuo

2020

Journal of Sensors

View full text Add to dashboard Cite

Implications of sensor technology on new product introduction requires critical decisions on divergent marketing and operational aspects. In this paper, we employed the Bass model for a new product that used the sensor technology diffusion from the perspective of the Wagner-Whitin lot-sizing model which discusses this matter related to suitability of sensor technology on the market and operational dimensions. The objective of this study is to propose an uncertain fuzzy approach to specify the new product that applied the sensor technology introduction’s optimum time, price, production scheduling, and rate simultaneously. This model will be applied to analyze the impact of sensor technology diffusion on the market acceptance and some operational parameters, for instance, total customer population, price elasticities, startup and maintenance costs, the unit’s variable cost and research and development costs on optimized benefit, and the product’s optimized lifespan. In this experiment, we have inspiration from the version of the Sale et al. (2017) model which considers uncertainty by using fuzzy triangular numbers and performing the alpha cut method. Moreover, in this research, variable cost is considered as a Cobb-Douglas function. Initially, in Research Methodology, mathematical modeling is applied, wherein utilizing simulation and the experimental design method, data were generated. Eventually, using LINGO optimization software, the problem was solved, and for further examinations considering the existence of various parameters, design of experiment (DoE) by Design-Expert 8 software and response surface methodology was adopted to analyze and optimize the problem’s parameters. The results indicated that the objective function’s climax occurs when the higher limit of alpha being 0.7 is assumed; hence, the optimum state of demand belongs to this amount of alpha.

show abstract

The effects of trust and platform innovation characteristics on consumer behaviors in social commerce: A social influence perspective

Zhao,

Xu,

2023

Electronic Commerce Research and Applications

View full text Add to dashboard Cite

Characteristics of Brazilian scientific research on diffusion of innovations in business administration

Cited by 4 publications

References 31 publications

Proposal of a Model of Irrigation Operations Management for Exploring the Factors That Can Affect the Adoption of Precision Agriculture in the Context of Agriculture 4.0

Proposal of a Model of Irrigation Operations Management for Exploring the Factors That Can Affect the Adoption of Precision Agriculture in the Context of Agriculture 4.0

The Simulation of Implications of Sensor Technology on the New Product Development to Solve Lot-Sizing Problems with Fuzzy Approach

The effects of trust and platform innovation characteristics on consumer behaviors in social commerce: A social influence perspective

Contact Info

Product

Resources

About