Artigos Publicados – 2020

002 – What Drives Job Satisfaction in IT Companies?

Sérgio Moro, Ricardo Ramos and Paulo Rita
International Journal of Productivity and Performance Management
  • Purpose – Strategic goal achievement in every sector of a company relies fundamentally on the firm’s employees. This study aims to disclose the factors that spur employees of major Information Technology (IT) companies in the United States (US).
  • Design/methodology/approach – In this paper, 15,000 reviews from the top 15 United States IT companies were collected from the social media platform Glassdoor to uncover the factors that satisfy IT employees. To learn the most meaningful features that influence the scores, positive and negative remarks, as well as advice to the management team, were analyzed through a support vector machine.
  • Findings – Results highlight a positive attitude of coworkers, contributing to a positive environment and job satisfaction. However, unsatisfied IT employees reveal that work exhaustion is the main reason for their job dissatisfaction.
  • Practical implications – IT human resource departments can use these valuable insights to align their strategies in accordance with their employees’ desires and expectations in order to thrive.
  • Originality/value – The study highlights the relevance of IT companies to understand the reasons behind their employees’ satisfaction. Up until now, little is known concerning the variants of job satisfaction among IT employees, enriching the understanding in this particular professional area.

001 – A Real Options Approach to Optimal Bidding in Construction Projects Considering Volume Uncertainty

João Adelino Ribeiro, Paulo Jorge Pereira e Elísio Moreira Brandão
Managerial and Decision Economics

Building on the numerical solution by Ribeiro et al. (2108), this paper proposes a model to assess the impact of volume uncertainty on construction projects’ value and on the optimal bidding price. The model’s outcome is the threshold amount for the incremental investment that managers have to undertake in order to resolve the uncertainty regarding the volume of work to be performed. Any amount of investment below the threshold will add value to the project and produces a more competitive bid price. A numerical example is presented, and a sensitivity analysis is performed to the model’s most relevant components.

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