Nan Xiao

Drivers of information security search behavior: An investigation of network attacks and vulnerability disclosures

More and more people use search engines to seek for various information. This study investigates the search behavior that drives the search for information security knowledge via a search engine. Based on theories in information search and information security behavior we examine the effects of network attacks and vulnerability disclosures on search for information security knowledge by ordinary users. We construct a unique dataset from publicly available sources, and use a dynamic regression model to test the hypotheses empirically. We find that network attacks of current day and one day prior significantly impact the search, while vulnerability disclosure does not significantly affect the search. Implications of the study are discussed.

Successful Implementation of eRx Systems: Creating Technology–Organization Alignment using the Strategy-Map Approach

The adoption rates of eRx systems continue to be low and their implementation remains uneven. Rooted in the theories of technology–organization alignment and strategy maps, this article develops a framework for successful implementation of eRx systems. The proposed strategy map outlines the key strategic processes that would make implementation of eRx systems not only feasible and successful, but also a profitable venture for healthcare organizations.

An Exploration of the Search for Information Security

People use search engines to seek information. This study investigates the motives that drive the search for information security knowledge via a search engine. We empirically examine the effects of network attacks and vulnerability disclosures on the frequency of search for information security knowledge. . We find that network attacks of current day and one day prior significantly impact the search, while vulnerability disclosure does not significantly affect the search.

Security enhanced integrative modeling language (SEIML): a conceptual modeling grammar for agile business information systems

In this paper, we present a grammar SEIML for semi-autonomous multi-agent system specifically catering to the area of integrative business information systems (IBIS) environments. SEIML is intended to provide the necessary constructs to model a dynamic business organization that is adaptive to fast-changing business needs.