Vinicius Jaques Gerhardt, Julio Cezar Mairesse Siluk, Ismael Cristofer Baierle and Cláudia de Freitas Michelin
The purpose of this paper is to develop a theoretical model composed of performance indicators divided into stages that represent a chronological order of the market development…
Abstract
Purpose
The purpose of this paper is to develop a theoretical model composed of performance indicators divided into stages that represent a chronological order of the market development process.
Design/methodology/approach
The theoretical model presented by this paper was developed based on the information collected through three systematic reviews. The first review identified the steps that segment the market development process. The second and third systematic review sought to identify a set of indicators that are most used in companies' market development.
Findings
The paper develops a theoretical model that identifies the market development indicators that are most present in the current literature, dividing them into stages that represent the chronological order of the market development process.
Originality/value
A research opportunity was identified based on the investigation of the existing literature. The study collaborates with existing research and provides a model that guides companies in market development decisions and actions.
Details
Keywords
Leonardo Moraes Aguiar Lima Dos Santos, Matheus Becker da Costa, João Victor Kothe, Guilherme Brittes Benitez, Jones Luís Schaefer, Ismael Cristofer Baierle and Elpidio Oscar Benitez Nara
Although prior studies have identified several technologies related to Industry 4.0 and their individual potential, it is still unclear how these technologies could be integrated…
Abstract
Purpose
Although prior studies have identified several technologies related to Industry 4.0 and their individual potential, it is still unclear how these technologies could be integrated to achieve better results. Based on this, we propose several collaborative networks combining technologies associated with Industry 4.0.
Design/methodology/approach
A literature review was performed using a research model to support the evaluation and identification of key and collaborative technologies related to Industry 4.0. We examined these technologies using hierarchical cluster analysis and principal components analysis, based on their characteristics.
Findings
The study identified big data, cloud computing, the internet of Things and cyber-physical systems as key technologies for Industry 4.0, and a further eight collaborative technologies that are strongly related to industrial performance. We found five collaborative networks with distinct goals in the context of Industry 4.0: (1) smart manufacturing; (2) technological platforms; (3) market reactiveness; (4) smart products and (5) flexibility.
Practical implications
The findings allowed us to create five pathways for future work on Industry 4.0 technologies via collaborative networks. In practice, this will help managers to improve their focus on priorities regarding the implementation of Industry 4.0 technologies.
Originality/value
This study provides insights into how to establish links between technologies through collaborative networks for certain purposes. In addition, we propose five future directions for these collaborative networks that require further investigation by researchers.