1 | Covid-19 sparked the e-commerce revolution; some benefited, while others left in cold | 880 |
2 | The challenges of human factors for implementation of information systems in the healthcare
| 637 |
3 | Information needs and seeking behavior of patients and carers in palliative care: a case study from public hospital Malaysia | 633 |
4 | Information technology (IT) based intervention among individuals with ASD (autism spectrum disorder): A review | 631 |
5 | ICT intervention and palliative care: a review | 600 |
6 | Health Information Systems (HIS) sustainable framework | 590 |
7 | Exploring awareness and perception on palliative care - Internet as source of knowledge | 586 |
8 | Information needs and seeking behavior of patients and carers in palliative care: a case study from public hospital Malaysia | 577 |
9 | Special education teachers’ for autism spectrum disorder children: behavioral intention and use of technology
in Malaysia | 555 |
10 | Improving information quality requirements for online
health information systems: a review on the previous frameworks | 543 |
11 | The business intelligence use in healthcare and its enhancement by predictive analytics | 539 |
12 | Impact covid19 on E-commerce globally and locally (Libya) | 533 |
13 | Exploring awareness and perception on palliative care - internet as source of knowledge | 532 |
14 | ScanMed: a mobile medicine adherence application with intake validation using QR code | 526 |
15 | ICT intervention and palliative care: A review | 525 |
16 | Impact of E-service quality on brand attachment and willingness to spend more | 523 |
17 | A novel conceptual framework of Health Information Systems (HIS) sustainability | 518 |
18 | The impact of Covid-19 on customer usage of E-Wallet in Indonesia | 505 |
19 | Including explicitly the question of 'which' in evaluation studies | 494 |
20 | Understanding and addressing the ‘fit’ between user, technology and organization in evaluating user acceptance of healthcare technology | 486 |
21 | Modelling students’ perception on factors influence acceptance of
research related software using multi-criteria decision analysis (MCDA) methods | 474 |
22 | Antecedents of overall e-service quality and brand attachment in the banking industry | 473 |
23 | The organization factors as barrier for sustainable Health Information Systems(HIS): a review | 464 |
24 | Usage of Predictive Analytics during COVID-19 Pandemic to Support Administrative Decision Making in Health Care | 461 |
25 | The technology factors as barriers for sustainable Health Information Systems (HIS): a review | 459 |
26 | A review of selected multi-criteria decision analysis techniques and applications | 453 |
27 | Development of model toward predictive analytics use to guide tactical non-clinical decision making in Qatar hospitals | 452 |
28 | A novel evaluation model of user acceptance of software technology in healthcare sector | 448 |
29 | Comparing user acceptance factors between research software
and medical software using AHP and Fuzzy AHP | 448 |
30 | The technology factors as barriers for sustainable Health Information Systems (HIS) – a review | 430 |