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ACM Transactions on

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A Penny Is Worth a Thousand? Investigating the Relationship Between Social Media and Penny Stocks

Increasingly more investors are seeking information from social media to help make investment... (more)

Putting Question-Answering Systems into Practice: Transfer Learning for Efficient Domain Customization

Traditional information retrieval (such as that offered by web search engines) impedes users with information overload from extensive result pages and the need to manually locate the desired information therein. Conversely, question-answering systems change how humans interact with information systems: users can now ask specific questions and... (more)

Emoticon Analysis for Chinese Social Media and E-commerce: The AZEmo System

This article presents a novel system, AZEmo, which extracts and classifies emoticons from the ever-growing critical Chinese social media and... (more)

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Call for Papers -- Updated in April, 2018


About TMIS

ACM Transactions on Management Information Systems (TMIS) publishes the highest quality papers about the design, development, assessment, and management of information technology and systems within organizations, businesses, and societies. In addition to traditional management and behavioral MIS research, ACM TMIS strongly encourages submissions of high-quality system and design science research, as well as submissions in emerging MIS multidisciplinary research topics that may span several traditional academic disciplines. ACM TMIS is indexed by Ei Compendex (EI) and Emerging Sources Citation Index (ESCI).

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Forthcoming Articles
Flexible, Efficient and Secure Access Delegation in Cloud Computing

The convenience of the cloud-assisted Internet of Things (IoT) has led to the need for improved protections for the large volumes of data collected from devices around the world and stored on cloud-based servers. Proxy re-encryption (PRE) has been presented as a suitable mechanism for secure transmission and sharing of files within the cloud. However, existing PRE schemes do not support unidirectional data transformation, fine-grained controls, multiple hops, and identity-based encryption simultaneously. To solve these problems, we propose a unidirectional multi-hop identity based-conditional PRE (UMH-IB-CPRE) scheme that meets all of the above requirements. Our proposal has the additional benefits of a constant ciphertext size, non-interactivity, and collusion-resistance. We also prove that our scheme is secure against adaptive identity chosen-ciphertext attacks (CCAs) in the standard model.

Simulated Annealing-based Ontology Matching

Ontology alignment is a fundamental task to reconcile the heterogeneity among various information systems using distinct information sources. The evolutionary algorithms (EAs) have been already considered as the primary strategy to develop an ontology alignment system. However, such systems have two significant drawbacks: they either need a ground truth which is often unavailable, or they utilize the population-based EAs in a way that they require massive computation and memory. This article presents a new ontology alignment system, called SANOM, which uses the well-known simulated annealing as the principal technique to find the mappings between two given ontologies while no ground truth is available. In contrast to population-based EAs, the simulated annealing need not generate populations, which makes it significantly swift and memory-efficient for the ontology alignment problem. The paper models the ontology alignment problem as optimizing the fitness of a state whose optimum obtains using the simulated annealing. A complex fitness function is developed which takes advantages of various similarity metrics including string, linguistic, and structural similarities. A randomized warm initialization is specially tailored for the simulated annealing in order to expedite its convergence. The experiments illustrate that SANOM is competitive with the state-of-the-art, and is significantly superior to other EA-based systems.

A graph-based approach to person name disambiguation in web

This paper presents a name disambiguation approach to resolve ambiguities between person names and group web pages according to the individuals they refer to. The proposed approach exploits two important sources of entity-centric semantic information extracted from web pages including personal attributes and social relationships. It takes as input the web pages that are results for a person name search. The web pages are analysed to extract personal attributes and social relationships. The personal attributes and social relations are mapped into an undirected weighted graph, called attribute-relationship graph. A graph-based clustering algorithm is proposed in order to group the nodes representing the web pages, each of which refers to a person entity. The outcome is a set of clusters such that the web pages within each cluster refer to the same person. We show the effectiveness of our approach by evaluating it on large-scale datasets WePS-1, WePS-2 and WePS-3. Experimental results are encouraging and show that the proposed method clearly outperforms several baseline methods and also its counterparts.

Website Visual Design Qualities: A Threefold Framework

Prior studies investigating the impacts of website visual design qualities on visitors attitudes and behaviors mainly focused on aesthetic and functional qualities. Exclusion of the symbolic quality and inattention to joint qualities prevent recognition of its significance. The present study aims to contribute to the information systems (IS) literature by developing a new theoretical perspective that integrates three dimensions of visual design qualities  namely aesthetic, functional, and symbolic dimensions. Results suggest that website aesthetic, functional, and symbolic qualities positively influence intention to use the website and positive word of mouth, and that website aesthetic quality positively influences website functional and symbolic qualities.

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