| 000 | 03440nam a22004335i 4500 | ||
|---|---|---|---|
| 999 |
_c362214 _d362214 |
||
| 001 | 362214 | ||
| 003 | ES-MaUEC | ||
| 005 | 20230102121518.0 | ||
| 006 | a||||fo|||| 00| 0 | ||
| 007 | cr nn 008mamaa | ||
| 008 | 210315s2021 sz | s |||| 0|eng d | ||
| 020 | _a9783030649876 | ||
| 024 | 7 |
_a10.1007/978-3-030-64987-6 _2doi |
|
| 040 |
_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC |
||
| 050 | 4 |
_aT185 _b2021 EB |
|
| 245 | 1 | 0 |
_aRecent Advances in Technology Acceptance Models and Theories _cedited by Mostafa Al-Emran, Khaled Shaalan. |
| 250 | _aFirst edition 2021 | ||
| 264 | 1 |
_aCham _bSpringer International Pulishing _c2021 |
|
| 300 |
_a1 recurso en línea (XIV, 520 páginas) _b105 ilustraciones, 69 ilustraciones a color |
||
| 336 |
_2rdacontent _aTexto _btxt |
||
| 337 |
_2rdamedia _aelectrónico _bc |
||
| 338 |
_2rdacarrier _arecurso electrónico _bcr |
||
| 347 |
_aarchivo de texto _bPDF |
||
| 490 | 0 |
_aStudies in Systems, Decision and Control _x2198-4190 _v335 |
|
| 490 | 0 | _aIntelligent Technologies and Robotics (SpringerNature-42732) | |
| 490 | 0 | _aIntelligent Technologies and Robotics (R0) (SpringerNature-43728) | |
| 505 | 0 | _aIs it still valid or outdated? A bibliometric analysis of the Technology Acceptance Model and its applications from 2010-2020 -- Models of Acceptance and Use of Technology Research Trends: Literature Review and Exploratory Bibliometric Study -- An integrated conceptual model for understanding the adoption of learning management systems in higher education during the COVID-19 outbreak -- Predicting Adoption of Visual Programming Languages: An Extension of the Technology Acceptance Model -- What Impacts E-Commerce Acceptance of Generation Z? A Modified Technology Acceptance Model -- A systematic review of mobile payment studies from the lens of the UTAUT model -- Conceptualizing a Framework for Understanding the Impact of Dynamic Accounting Information Systems on the Business Processes Capabilities -- A review of learning analytics studies -- Examining the factors affecting the adoption of IoT platform services based on Flipped Learning Model in Higher Education -- Evaluating the impact of knowledge management factors on m-learning adoption: A deep learning-based hybrid SEM-ANN approach. | |
| 520 | 3 | _aThis book tackles the latest research trends in technology acceptance models and theories. It presents high-quality empirical and review studies focusing on the main theoretical models and their applications across various technologies and contexts. It also provides insights into the theoretical and practical aspects of different technological innovations that assist decision-makers in formulating the required policies and procedures for adopting a specific technology. | |
| 988 | _aSpringer_Robotics_2021 | ||
| 650 | 7 |
_2embne _9139570 _aTecnología |
|
| 650 | 7 |
_2embne _9405746 _aInnovaciones tecnológicas |
|
| 700 |
_aAl-Emran, Mostafa _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt _9681020 |
||
| 700 |
_aShaalan, Khaled _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt _9681021 |
||
| 776 | 0 | 8 |
_iPrinted edition: _z9783030649869 |
| 776 | 0 | 8 |
_iPrinted edition: _z9783030649883 |
| 776 | 0 | 8 |
_iPrinted edition: _z9783030649890 |
| 856 | 4 | 0 |
_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-030-64987-6 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid) |
| 942 |
_2lcc _cLE |
||