Pinterest Board Recommendation for Twitter Users

Pinboard on Pinterest is an emerging media to engage online social media users, on which users post online images for specific topics. Regardless of its significance, there is little previous work specifically to facilitate information discovery based on pinboards. This paper proposes a novel pinboard recommendation system for Twitter users. In order to associate contents from the two social media platforms, we propose to use MultiLabel classification to map Twitter user followees to pinboard topics and visual diversification to recommend pinboards given user interested topics. A preliminary experiment on a dataset with 2000 users validated our proposed system

Understanding Organizational Traps in Implementing Service-Oriented Architecture

One of the major objectives of adopting service-oriented architecture (SOA) is to enhance the IS agility of organizations and improve IT-business alignment. In practice the contradictory experiences about SOA implementation turn out to be a paradox: why many organizations failed to meet their expectations about SOA implementation efforts, while others succeeded? Contrast to prior research on SOA, this study adopts the process perspective and provides plausible theoretical explanations for the SOA implementation paradox. Specifically, the study uses multiple case-study methods to develop a system dynamics model which highlights the feedback loops and time delay during the SOA implementation process. The results reveal the dynamic characteristics of learning curve of SOA implementation and two organizational traps (technology learning trap and implementation effectiveness trap) associated with SOA implementation. Technology learning trap refers to the situation that the less learning in using the technology, the more difficult and complex the technology is perceived. Implementation effectiveness trap refers to the situation in which the organization may misperceive the inappropriateness of SOA when SOA implementation is temporally less effective and perceived benefits of SOA are delayed. The theory of the organizational traps can be generalized to a broad context of innovative IS implementation. Further, the theoretical causes of the traps are investigated. Finally, the research implication of this study and connections with existing literature on IS and organization are discussed

Data Standardization and Quality Degradation of Human-readable Data

Data standardization is a widely recommended solution to improving data quality. Despite the potential benefits, we examine if it has any unintended, especially undesirable, side effects on data quality. The eXtensible Business Reporting Language (XBRL) is an XML-based open standard that aims to facilitate the preparation, exchange and comparison of financial reports. Leveraging the unique opportunity created by the exogenous mandatory XBRL adoption enforced by the U.S. SEC, we use a difference-in-differences (DID) research design to establish the causal relationship between XBRL adoption and quality of HTML-formatted financial reports, an important source for investors and analysts to obtain firms’ financial information. Surprisingly, we find the mandatory XBRL adoption has degraded the quality of the adopting firms’ HTML-formatted financial reports, as measured by a number of data quality metrics, including spelling errors and readability. The U.S. SEC and adopting firms need design appropriate policies to minimize the undesirable side effects

The Spillover Effects of Prescription Drug Monitoring Programs (PDMPs) Integration and Data Sharing on Opioids Prescribing Rate

To reduce the supply of opioids to non-medical users in the U.S., many states have implemented Prescription Drug Monitoring Programs (PDMPs) to collect patients’ opioids purchase history and provide physicians this information. We study the impact of two PDMP-enhancement policies: 1) within-state IS integration, which aims to integrate a state’s PDMP into local hospitals’ health information technologies (HITs), and 2) interstates IS data sharing, which facilitates the interoperability of PDMP data across states line. We construct a county-level panel dataset from 2006 to 2017. First, we do not find evidence that PDMP integration could reduce the focal state’s regional opioids prescribing rate; instead, we find that a focal state\u27s PDMP integration triggers doctor shopping phenomenon by increasing the opioids prescribing rate of counties located in neighboring states, suggesting the negative IT spillover effect. Second, we find nuanced evidence that PDMP interstate data sharing can mitigate this negative spillover effect, showing the positive information externality

Experiences and Challenges with Using Cert Data to Analyze International Cyber Security

With the increasing interconnection of computer networks and sophistication of cyber attacks, it is important to understand the dynamics of such situations, especially in regards to cyber international relations. The Explorations in Cyber International Relations (ECIR) Data Dashboard Project is an initiative to gather worldwide cybersecurity data publicly provided by nation-level Computer Emergency Response Teams (CERTs) and to provide a set of tools to analyze the cybersecurity data. The unique contributions of this paper are: (1) an evaluation of the current state of the diverse nation-level CERT cybersecurity data sources, (2) a description of the Data Dashboard tool developed and some interesting analyses from using our tool, and (3) a summary of some challenges with the CERT data availability and usability uncovered in our research.The work reported herein was supported, in part, by the Explorations in Cyber International Relations (ECIR) project funded by the Office of Naval Research (ONR) contract number N00014-09-1-0597

SPARQL Query Mediation for Data Integration

The Semantic Web provides a set of promising technologies to make sophisticated data integration much easier, because data on the semantic Web is allowed to be connected by links and complex queries can be executed against the dataset of those linked data. Although the Semantic Web techniques offer RDF/OWL to support schematic mappings between diverse data sources, large-scale data integration is still severely hampered by various types of data-level semantic heterogeneity among the data sources. In the paper, we show that SPARQL queries that are intended to execute over multiple heterogeneous data sources can be mediated automatically

Experiences and Challenges with using CERT Data to Analyzes

With the increasing interconnection of computer networks and sophistication of cyber attacks, it is important to understand the dynamics of such situations, especially in regards to cyber international relations. The Explorations in Cyber International Relations (ECIR) Data Dashboard Project is an initiative to gather worldwide cybersecurity data publicly provided by nation-level Computer Emergency Response Teams (CERTs) and to provide a set of tools to analyze the cybersecurity data. The unique contributions of this paper are: (1) an evaluation of the current state of the diverse nation-level CERT cybersecurity data sources, (2) a description of the Data Dashboard tool developed and some interesting analyses from using our tool, and (3) a summary of some challenges with the CERT data availability and usability uncovered in our research

Reconciling Semantic Heterogeneity in Web Services Composition

Service Oriented Computing (SOC) is a popular computing paradigm for the development of distributed Web applications. Service composition, a key element of SOC, is severely hampered by various types of semantic heterogeneity among the services. In this paper, we address the various semantic differences from the context perspective and use a lightweight ontology to describe the concepts and their specializations. Atomic conversions between the contexts are implemented using XPath functions and external services. The correspondences between the syntactic service descriptions and the semantic concepts are established using a flexible, standard-compliant mechanism. Given the naive BPEL composition ignoring semantic differences, our reconciliation approach can automatically determine and reconcile the semantic differences. The mediated BPEL composition incorporates necessary conversions to convert the data exchanged between different services. Our solution has the desirable properties (e.g., adaptability, extensibility and scalability) and can significantly alleviate the reconciliation efforts for Web services composition.This work was partially supported by the MIT Sloan China Management Education Project and grants from the National Natural Science Foundation of China (No. 60674080 and No. 60704027) and the National High-Tech R&D (863) Plan of China (No. 2007AA04Z150)