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ACM Transactions on Management Information Systems is a peer-reviewed journal published by ACM, covering Big Data and Business Intelligence, Business Process Modeling and Analysis, Topic Modeling. Over its lifetime it has published 421 papers, which have received 12,823 citations.
| 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 Transactions on Management Information Systems 12, 3, Article 45 (2023).
Formats any DOI in ACM Transactions on Management Information Systems style. No sign-up. |
| Publishes research in | Big Data and Business Intelligence Business Process Modeling and Analysis Topic Modeling Digital Marketing and Social Media Knowledge Management and Sharing |
| ISSN | 2158-656X |
| Citation impact (2-yr) | 6.02 |
| h-index | 49 |
| i10-index | 213 |
| Top institutions publishing here | University of Arizona |
| Journal website | portal.acm.org |
| You get | A submission-ready PDF and the editable LaTeX source — ready to submit. |
Citations each year’s papers have accumulated so far — the most recent years are still building up.
This article discusses the various algorithms that make up the Netflix recommender system, and describes its business purpose. We also describe the role of search and related algorithms, which for us turns into a recommendations problem as well. We explain the motivations behind and review the approach that we use to improve the recommendation algorithms,…
Trust plays an important role in many Information Systems (IS)-enabled situations. Most IS research employs trust as a measure of interpersonal or person-to-firm relations, such as trust in a Web vendor or a virtual team member. Although trust in other people is important, this article suggests that trust in the Information Technology (IT) itself also…
Blockchain technology offers a sizable promise to rethink the way interorganizational business processes are managed because of its potential to realize execution without a central party serving as a single point of trust (and failure). To stimulate research on this promise and the limits thereof, in this article, we outline the challenges and opportunities of…
Over the last decade, process mining emerged as a new research field that focuses on the analysis of processes using event data. Classical data mining techniques such as classification, clustering, regression, association rule learning, and sequence/episode mining do not focus on business process models and are often only used to analyze a specific step in…
We discuss our approach to developing a novel modality for the computer-delivery of Brief Motivational Interventions (BMIs) for behavior change in the form of a personalized On-Demand VIrtual Counselor (ODVIC), accessed over the internet. ODVIC is a multimodal Embodied Conversational Agent (ECA) that empathically delivers an evidence-based behavior change intervention by adapting, in real-time, its…
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