Technology acceptance model - practical applications
Informacje ogólne
Kod przedmiotu: | 2400-ZEWW866 |
Kod Erasmus / ISCED: |
14.3
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Nazwa przedmiotu: | Technology acceptance model - practical applications |
Jednostka: | Wydział Nauk Ekonomicznych |
Grupy: |
Anglojęzyczna oferta zajęć WNE UW Przedmioty 4EU+ (z oferty jednostek dydaktycznych) Przedmioty kierunkowe dla Data Science Przedmioty kierunkowe do wyboru - studia II stopnia IE - grupa 2 (2*30h) Przedmioty wyboru kierunkowego dla studiów licencjackich IE Przedmioty wyboru kierunkowego dla studiów licencjackich MSEM |
Punkty ECTS i inne: |
3.00
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Język prowadzenia: | angielski |
Rodzaj przedmiotu: | nieobowiązkowe |
Skrócony opis: |
(tylko po angielsku) The main purpose of this course is to help students understand and acquire the basic theoretical knowledge and practical skills necessary to develop and evaluate technology acceptance research models. The focus of this course will be the two most commonly used models for technology acceptance, the Technology Acceptance Model (TAM) and the Unified Theory of Acceptance and Use of Technology (UTAUT). |
Pełny opis: |
(tylko po angielsku) This course covers skills required for effective research design (based on TAM and UTAUT) and analysis of data (Quantitative Method – Structural Equation Modeling PLS-SEM). You will be exposed to contemporary digital technology adoption literature, cases studies, data collection, and analysis methods to build your analytical and practical skills to develop the research models. Lecture topics include the following: 1- Scientific method and role of theory in Technology Acceptance research 2- Basic principles of research design on basis of TAM and UTAUT 3- Critical Literature Review, Looking for research gap 4- Sample selection (Case Studies/Published Papers) for replication of results 5- Structural Equation Modelling PLS-SEM (AMOS and Smart PLS) 6- Design of new research models (Group Activity) 7- Measurement: classical test theory, reliability, validity, factor analysis and item response theory, structural equation modeling (Final) 8- Presentations- Research designs and Data analysis by students to pass this course |
Literatura: |
(tylko po angielsku) 1- Dwivedi, Y. K., Wade, M. R., & Schneberger, S. L. (Eds.). (2011). Information systems theory: Explaining and predicting our digital society, Vol. 1, Springer Nature. 2- Byrne, B. M. (2013). Structural equation modeling with AMOS: Basic concepts, applications, and programming. Routledge. 3- Thakkar, J. J. (2020). Structural Equation Modelling: Application for Research and Practice (with AMOS and R) (Vol. 285). Springer Nature. Additional: 1- J. Christopher Westland (2016) Structural Equation Models from Paths to Networks, Springer Nature. 2- Collier, J. E. (2020). Applied structural equation modeling using AMOS: Basic to advanced techniques. Routledge. 3- Wallace, L. G., & Sheetz, S. D. (2014). The adoption of software measures: A technology acceptance model (TAM) perspective. Information & Management, 51(2), 249-259. |
Efekty uczenia się: |
(tylko po angielsku) On successful completion of this unit, you should be able to: 1. equip with the ability to critically appraise theories, methods, and evidence for understanding behavior and behavior change in a technology acceptance context. 2. make new research design, implementation, and evaluation of digital user’ behavior change. 3. support the translation of evidence into practice across disciplines and sectors. |
Metody i kryteria oceniania: |
(tylko po angielsku) Participation: Your participation in class and tutorials (including short in-class quizzes) will determine 25% of your course grade. Mid-term exam: The in-class mid-term examination will cover all materials from weeks 1 through 6. Expect Multiple Choice Question and statistical application questions to be completed on a computer. This will determine 25% of the course grade. Final Project Paper (Group Activity): You will be asked to write a design TAM and UTAUT based research paper (no more than 15 pages) in a group. The final paper will determine 50% of the course grade. |
Zajęcia w cyklu "Semestr letni 2023/24" (w trakcie)
Okres: | 2024-02-19 - 2024-06-16 |
Przejdź do planu
PN WT KON
ŚR CZ PT |
Typ zajęć: |
Konwersatorium, 30 godzin
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Koordynatorzy: | Umair Ashraf Rana | |
Prowadzący grup: | Umair Ashraf Rana | |
Lista studentów: | (nie masz dostępu) | |
Zaliczenie: |
Przedmiot -
Zaliczenie na ocenę
Konwersatorium - Zaliczenie na ocenę |
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Przedmiot dedykowany programowi: | 4EU+KURSY |
Właścicielem praw autorskich jest Uniwersytet Warszawski, Wydział Nauk Ekonomicznych.