2023
Autores
Pereira, I; Barbosa, B; Vale, VT;
Publicação
Management and Marketing for Improved Retail Competitiveness and Performance
Abstract
This chapter aims to combine the contributions scattered in the literature by analyzing the different types of social media marketing actions and their expected outcomes. A systematic literature review was conducted and complemented with interviews with practitioners (n=8) in order to validate the findings. The analysis confirmed that the literature is particularly fragmented, although it approaches a very diversified list of social media marketing actions (n=29). Four types of actions were identified: actions that evoke emotions, actions that foster interaction and involvement, actions of information sharing, and commercial actions. Practitioners involved in the validation process confirmed the adequacy and usefulness of the classification. Social media marketing actions are organized into four blocks according to their objectives and impacts on consumer behavior, hence providing a tool that was recognized by a sample of practitioners as useful to guide their efforts and budgets. © 2023, IGI Global. All rights reserved.
2023
Autores
dos Santos, SS; Mendes, P; Pastoriza Santos, I; de Almeida, MMM; Coelho, CC;
Publicação
Proceedings - 28th International Conference on Optical Fiber Sensors, OFS 2023
Abstract
Long-term stability and high scalability are significant issues in plasmonic optical fiber sensors. This work presents a highly scalable and low-cost all-chemical approach for production of gold-coated silver thin-films, ensuring high performance and chemical stability. © Optica Publishing Group 2023, © 2023 The Authors.
2023
Autores
Silva, MC; Faria, BM; Reis, LP;
Publicação
Proceedings of the 15th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management, IC3K 2023, Volume 1: KDIR, Rome, Italy, November 13-15, 2023.
Abstract
2023
Autores
Martins, J; Teixeira, B; MPM Oliveira, B; Afonso, C;
Publicação
Acta Portuguesa de Nutrição
Abstract
2023
Autores
Oliveira, EE; Migueis, VL; Borges, JL;
Publicação
APPLIED SCIENCES-BASEL
Abstract
Automatic Root Cause Analysis solutions aid analysts in finding problems' root causes by using automatic data analysis. When trying to locate the root cause of a problem in a manufacturing process, an issue-denominated overlap can occur. Overlap can impede automated diagnosis using algorithms, as the data make it impossible to discern the influence of each machine on the quality of products. This paper proposes a new measure of overlap based on an information theory concept called Positive Mutual Information. This new measure allows for a more detailed analysis. A new approach is developed for automatically finding the root causes of problems when overlap occurs. A visualization that depicts overlapped locations is also proposed to ease practitioners' analysis. The proposed solution is validated in simulated and real case-study data. Compared to previous solutions, the proposed approach improves the capacity to pinpoint a problem's root causes.
2023
Autores
Brito, PQ; Chandler, JD;
Publicação
R & D MANAGEMENT
Abstract
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