2018
Autores
Dalmarco, G; Barros, AC;
Publicação
Contributions to Management Science
Abstract
The widespread use of internet is changing the way supply chain echelons interact with each other in order to respond to increasing customer requests of personalized products and services. Companies acquainted with the concept of industry 4.0 (i4.0) embrace the use of internet to improve their internal and external processes, delivering the dynamic and flexible response customers want. This chapter aims to discuss how supply chains may benefit from the adoption of i4.0 technologies by their partners and highlights some of its implementation challenges. Eight technologies cover most of i4.0 applications: additive manufacturing; big data & analytics; cloud computing; cyber-physical systems; cyber security; internet of things; collaborative robotics; and visual computing. At individual level, technologies such as additive manufacturing, collaborative robots, visual computing and cyber-physical systems establish the connectivity of a certain company. However, the integration of the whole supply chain, based on the principles of i4.0, demands that information provided by each company (Big Data) is shared through a collaborative system based on Cloud Computing and Internet of Things technologies. To safely share useful information, Cyber Security techniques must be implemented in individual systems and cloud solutions. Summing up, even though the adoption of i4.0 demands an individual initiative, it will only raise the supply chain’s competitive advantage if all companies adapt their manufacturing and supply chain processes. The main advantage foreseen here is based on an improved communication system of the whole supply chain, bringing consumers closer to the production process. © 2018, Springer International Publishing AG, part of Springer Nature.
2018
Autores
Baggio, D; Wegner, D; Dalmarco, G;
Publicação
RAM. Revista de Administração Mackenzie
Abstract
2018
Autores
Dalmarco, G; Hulsink, W; Blois, GV;
Publicação
Technological Forecasting and Social Change
Abstract
2018
Autores
da Costa Nogueira, DMD; Sousa, PSA; Moreira, MRA;
Publicação
LEADERSHIP & ORGANIZATION DEVELOPMENT JOURNAL
Abstract
Purpose The purpose of this paper is to better understand the role that leadership plays in the success of Lean management (LM) implementation, by trying to identify what is the impact of the transactional, transformational, directive and empowering leadership styles on the success of such an implementation in Portuguese companies, and what are the most important leaders' attributes. Design/methodology/approach An on-line questionnaire was distributed to 65 manufacturing and services Portuguese organizations that have implemented LM. Findings The results suggest that the empowering leadership style has a positive impact on the success of LM implementation. Even though results do not allow concluding about the impact of the other styles, several leader's attributes were identified as having influence: individualized consideration, information sharing, skill development, intellectual stimulation, assigned goals and self-directed decision making. Originality/value Very few studies have addressed the role of leadership in the success of adopting LM and, to the best knowledge, only one paper studied the critical attributes of leaders in LM implementation. Moreover, the present study focuses in Portugal, country where this topic has rarely been investigated.
2018
Autores
Moreira, AC; Ferreira, LMDF; Zimmermann, RA;
Publicação
Contributions to Management Science
Abstract
2018
Autores
Zimmermann, RA; Ferreira, LMDF; Moreira, AC;
Publicação
Contributions to Management Science
Abstract
Innovation is recognised as an important source of competitive advantage by both academics and managers. Nowadays, supply chain partners play a crucial part in driving many aspects of innovation, from the definition of the product concept to the launch to the market. This chapter analyzes how the relationship between supply chain management and the innovation process is addressed in the literature and discuss ways to improve the performance by means of this relationship. A bibliometric analysis—including citation and co-citation analysis—is carried out to study the intellectual structure of the topic. In the end, four literature clusters were identified, and their characteristics are discussed. © 2018, Springer International Publishing AG, part of Springer Nature.
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