Adoption Models and Change Management
Código
400043
Unidade Orgânica
NOVA Information Management School
Créditos
7.5
Professor responsável
Guilherme Hidalgo Barata Martins Victorino
Língua de ensino
Português. No caso de existirem alunos de Erasmus, as aulas serão leccionadas em Inglês
Objectivos
No final do curso os alunos deverão ser capazes de:
- Discutir criticamente as principais noções e conceitos relacionados com Modelos de Adoção e Gestão de Mudança;
- Iniciar investigação científica em modelos de adoção e Gestão de mudança.
Pré-requisitos
N/A
Conteúdo
1.Introdução - O conhecimento e a importância da colaboração no processo de tomada de decisão;
2.Introdução à inovação Adoção e Gestão da Mudança
3.Determinantes de inovação e adoção
4.Estádios de adoção (iniciação, adoção, uso e valor)
5.Por que gerir a mudança? (ROI de gestão de mudanças, mudar conceitos; características da alteração)
6.Avaliação (avaliação atributos organizacional; desafios e riscos)
7.Criação de uma estratégia de gestão da mudança (preparação da equipe de gestão da mudança; plano de comunicação; patrocinador roteiro)
8.Gestão do alinhamento de mudança com resultados de negócios (imunidade a mudar, a mudança de reforço)
Bibliografia
Baptista, G. and Oliveira, T. (2015) Understanding mobile banking: The unified theory of acceptance and use of technology combined with cultural moderators. Computers in Human Behavior, 50, 418-430.
Cameron, E., & Green, M. (2015). Making sense of change management: a complete guide to the models, tools and techniques of organizational change. Kogan Page Publishers.
Kotter, J. P. (1996). Leading change. Harvard Business Press.
Martins, R., Oliveira, T. and Thomas, M.A., 2016. An empirical analysis to assess the determinants of SaaS diffusion in firms. Computers in Human Behavior, 62, pp.19-33.
Martins, C, Oliveira, T. & Popovi?, A. (2014) Understanding the Internet banking adoption: An unified theory of acceptance and use of technology and perceived risk application, International Journal of Information Management, 34(1), 1-13.
Miltengen, C. L., Popovi? A. & Oliveira, T. (2013) Determinants of end-user acceptance of Biometrics: Integrating the "Big 3" of technology acceptance with privacy context, Decision Support Systems. (in Press)
Oliveira, T., Thomas, M., Baptista, G. and Campos, F., (2016) Mobile payment: Understanding the determinants of customer adoption and intention to recommend the technology. Computers in Human Behavior, 61, pp.404-414.
Oliveira, T., Thomas M. & Espadanal, M. (2014) Assessing the determinants of cloud computing adoption: An analysis of the manufacturing and services sectors, Information & Management, 51, 497-510.
Oliveira, T. & Dhillon, G. (2015). From Adoption to Routinization of B2B e-Commerce: Understanding Patterns across Europe, Journal of Global Information Management, 23(1), 24-43.
Oliveira, T., Faria, M., Thomas, M. A., & Popovi?, A. (2014). Extending the understanding of mobile banking adoption: When UTAUT meets TTF and ITM, International Journal of Information Management, 34(5), 689-703.
Oliveira, T. and M. F. Martins (2010) "Understanding e-business adoption across industries in European countries," Industrial Management & Data System (110) 9, pp. 1337-1354.
Torkzadeh, G. and G. Dhillon (2002) "Measuring factors that influence the success of Internet commerce," Information Systems Research (13) 2, pp. 187-204.
Rogers, E. M. (2010). Diffusion of innovations. Simon and Schuster.
Ruivo, P., Oliveira, T., Johansson, B. & Neto, M. (2013) Differential effects on ERP post-adoption stages across Scandinavian and Iberian SMEs, Journal of Global Information Management, 21(3), 1-20.
Ruivo, P., Oliveira, T., & Neto, M. (2015). Using resource-based view theory to assess the value of ERP commercial-packages in SMEs. Computers in Industry, 73, 105-116.
Tam, C. and Oliveira, T., 2016. Understanding the impact of m-banking on individual performance: DeLone & McLean and TTF perspective. Computers in Human Behavior, 61, pp.233-244.
Thomas, M., Costa, D. & Oliveira, T. (2016). Assessing the role of IT-enabled Process Virtualization on Green IT adoption. Information Systems Frontiers, 18 (4) 693-710.
Zhu, K., K. Kraemer, and S. Xu (2003) "Electronic business adoption by European firms: a cross-country assessment of the facilitators and inhibitors," European Journal of Information Systems (12) 4, pp. 251-268.
Zhu, K. and K. L. Kraemer (2005) "Post-adoption variations in usage and value of e-business by organizations: Cross-country evidence from the retail industry," Information Systems Research (16) 1, pp. 61-84.
Zhu, K., Kraemer, K. L., & Xu, S. (2006). The process of innovation assimilation by firms in different countries: a technology diffusion perspective on e-business. Management Science, 52(10), 1557-1576.
Método de ensino
Aulas teóricas, complementadas por aplicações práticas, casos de estudo e simulações. Quatro trabalhos de grupo permitirá uma aplicação prática dos conceitos e técnicas estudadas na disciplina.
Método de avaliação
1st Period – Participation in the class (5%), one presentation per group of a scientific paper (15%), write the introduction, literature review, and conceptual model of a scientific paper per group (25%), change management simulation per group (15%), and exam (40%).
2nd Period – One presentation per group of a scientific paper (20%), write the introduction, literature review, and conceptual model of a scientific paper per group (30%), and exam (50%).
Scientific paper – We provide a set of scientific papers and each group of students chooses one paper to analyze and make a presentation (15 minutes + 15 discussion). The aim of this work is to develop research skills to prepare students to start research.
Write the introduction, literature review, and conceptual model of a scientific paper –The introduction, literature review, and conceptual model of a scientific paper per group should be send by e-mail until 11:59 pm of 22nd of October.
Change management simulation – participation is mandatory at least at 2 of the 3 lab sessions held on the 23rd, 30th of November and 7th of December
Exam – The pass mark for the exam is 8.