In the last fifteen years, academic research on information systems (IS) outsourcing has evolved rapidly. Indeed the field of outsourcing research has grown so fast that there has been scant opportunity for the research community to take a collective breath, and complete a global assessment of research activities to date. This paper seeks to address…
ACM SIGMIS Database the DATABASE for Advances in Information Systems Template
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About the ACM SIGMIS Database the DATABASE for Advances in Information Systems format
ACM SIGMIS Database the DATABASE for Advances in Information Systems is a peer-reviewed journal published by ACM, covering Technology Adoption and User Behaviour, Big Data and Business Intelligence, Information Systems Theories and Implementation.
| Publisher | ACM |
|---|---|
| Reference style | Numbered (ACM) Numbered — [1], [2] in the text [1] Ada Smith, Ben Jones, and Cara Lee. 2023. A representative article title. ACM SIGMIS Database the DATABASE for Advances in Information Systems 12, 3, Article 45 (2023).
Formats any DOI in ACM SIGMIS Database the DATABASE for Advances in Information Systems style. No sign-up. |
| Publishes research in | Technology Adoption and User Behaviour Big Data and Business Intelligence Information Systems Theories and Implementation Information Technology Governance and Strategy Knowledge Management and Sharing |
| ISSN | 0095-0033 |
| Citation impact (2-yr) | 2.68 |
| h-index | 90 |
| i10-index | 499 |
| Total citations | 36,215 |
| Top institutions publishing here | Baylor University |
| Journal website | dl.acm.org |
| You get | A submission-ready PDF and the editable LaTeX source — ready to submit. |
Papers published in ACM SIGMIS Database the DATABASE for Advances in Information Systems per year
Citation impact of ACM SIGMIS Database the DATABASE for Advances in Information Systems by publication year
Citations each year’s papers have accumulated so far — the most recent years are still building up.
Most-cited papers in ACM SIGMIS Database the DATABASE for Advances in Information Systems
Information technology is providing the infrastructure necessary to support the development of new organizational forms. Virtual teams represent one such organizational form, one that could revolutionize the workplace and provide organizations with unprecedented levels of flexibility and responsiveness. As the technological infrastructure necessary to support virtual teams is now readily available, further research on the…
There has been considerable research on the factors that predict whether individuals will accept and voluntarily use information systems. The technology acceptance model (TAM) has a base in psychological research, is parsimonious, explains usage behavior quite well, and can be operationalized with valid and reliable instruments. A limitation of TAM is that it assumes usage…
Models used to study information technology (IT) adoption were adapted and applied to the group support systems (GSS) domain to determine their applicability and to assess the relative importance of beliefs about GSS in the context of adoption. The beliefs examined were relative advantage, ease of use, compatibility, and enjoyment. Four methods of measuring the…
Trust is emerging as a potentially central aspect leading to IT acceptance. It is especially needed in the case of gaining and later retaining consumers of online vendors. This has been shown by previous research using single dimensional constructs. But trust can also be viewed as a multi-dimensional construct combining specific beliefs (sometimes labeled as…