NOVA Information Management School

Adoption Models and Change Management

Code

400043

Academic unit

NOVA Information Management School

Credits

7.5

Teacher in charge

Tiago André Gonçalves Félix de Oliveira

Teaching language

Portuguese. If there are Erasmus students, classes will be taught in English

Objectives

At the end of the course students should be able to:
 - Critically discuss the key notions and concepts related to Adoption Models and Change Management?
 - Initiate scientific research related to Adoption Models and Change Management. -IT Adoption and Change Management encompasses all activities aimed at helping an organization successfully accept and adopt new technologies and new ways to serve its customers.
 -Understanding the IT adoption process and the effective change management enables the transformation of strategy, processes, technology, and people to enhance performance and ensure continuous improvement in an ever-changing environment.
 -A comprehensive and structured approach to organizational change management is critical to the success of any project that will bring about significant change.

Prerequisites

N/A

Subject matter

1.Introduction - Knowledge and the importance of Collaboration in the decision making process
3.Introduction to the Adoption Models and Change Management
4.Adoption innovation drivers
5.Adoption stages (initiation, adoption, use, and value)
6.Why manage change? (ROI of change management; change concepts; change characteristics)
7.Assessment (organizational attributes assessment; unique challenges and risks)
8.Creating a change management strategy (preparing the change management team; communication plan; sponsor roadmap)
9.Aligning change management with business results (immunity to change; reinforcing change)

Bibliography

Aparicio A., Oliveira T., Bacao F., & Painho M. (2018) Gamification: A key determinants of massive open online course (MOOC) success. Information & Management.

Baptista, G. & Oliveira, T. (2017). Why so serious? Gamification impact in the acceptance of mobile banking services. Internet Research, 27(1), 118-139.

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.

Chipeva, P., Cruz-Jesus, F. Oliveira T. & Irani Zahir (2018) Digital divide at individual level: Evidence for Eastern and Western European countries. Government Information Quarterly.

Corte-Real, N., Oliveira, T. & Ruivo P. (2017). Assessing Business Value of Big Data Analytics in European Firms. Journal of Business Research, 70, 379-390.

Gonçalves, G., Oliveira, T., and Cruz-Jesus, F. (2018) Understanding individual-digital divide: Evidence of an African Country. Computers in Human Behavior.

Kotter, J. P. (1996). Leading change. Harvard Business Press.

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.

Naranjo M., Oliveira T., & Casteleyn S. (2018) Citizens’ intention to use and recommend e-participation: Drawing upon UTAUT and citizen empowerment. Information Technology & People.

Nascimento, B., Oliveira, T., & Tam, C. (2018). Wearable technology: What explains continuance intention in smartwatches?. Journal of Retailing and Consumer Services, 43, 157-169.

Puklavec B., Popovic A. & Oliveira T. (2018). Justifying Business Intelligence Systems Adoption in SMEs: Impact of Systems Use on Firm Performance.  Industrial Management & Data Systems.

Puklavec, B., Oliveira, T., & Popovi?, A. (2018). Understanding the determinants of business intelligence system adoption stages: an empirical study of SMEs. Industrial Management & Data Systems, 118(1), 1-28.

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. & M. F. Martins (2010) "Understanding e-business adoption across industries in European countries," Industrial Management & Data System (110) 9, pp. 1337-1354.

Rogers, E. M. (2010). Diffusion of innovations. Simon and Schuster.

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.

Tam, C., & Oliveira, T. (2017). Understanding mobile banking individual performance: The DeLone & McLean model and the moderating effects of individual culture. Internet Research, 27(3), 538-562.

Tam C. & Oliveira T. (2018). Does culture influence m-banking use and individual performance? Information & Management. In press.

Tam, C., Santos, D. & Oliveira, T., (2018). Exploring the influential factors of continuance intention to use mobile Apps: Extending the expectation confirmation model. Information Systems Frontiers, pp.1-15.

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.

Tomás, S., Thomas, M., & Oliveira, T. (2017). Evaluating the impact of virtualization characteristics on SaaS adoption. Enterprise Information Systems, 1-20.

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.

Teaching method

Theoretical classes complemented with practical applications, case studies and simulation works. Four team projects will provide a practical application of the concepts and techniques studied in the course.

Evaluation method

1st Period

Master students: 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%).

Ph.D. students: Presentation of a scientific paper as individual work (15%), scientific paper (8000 words maximum) as individual work (75%), participation and discussion (10%).

 

2nd Period

Master students: 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%).

Ph.D. students: Scientific paper (8000 words maximum) as individual work (100%).

 

Scientific paper presentation – We provide a set of scientific papers and each group of students chooses one paper to analyze and make a presentation (12 minutes + 12 discussion). The aim of this work is to develop research skills to prepare students to start research. Each group should submit their presentation in Moodle until 11:59pm of 16th of October.

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