Sentence examples for organizational data from inspiring English sources

Comparison of major algorithm-centered approaches to the analysis of complex social network and organizational data.

By exploiting organizational data, managers can derail some risky blind spots.

For example, if a company's IT department can't provide a secure yet convenient file-sharing platform, employees may turn to consumer-grade sharing services that can jeopardize the security of organizational data.

I did my dissertation under Harold Wilensky, analyzing comparative organizational data to show that rising educational requirements for employment were not due to technologically-driven demand for skills, but to changing standards of cultural respectability; this later became my 1979 book The Credential Society.

Supported by the credibility, persuasion and motivation theories, we conducted 1) a field experiment, demonstrating how sensitive organizational data can be exploited, followed by 2) a qualitative study of employees engaged in SNSs activities; and 3) interviews with Chief Information Security Officers (CISOs).

Sharing organizational data.

This study provides empirical evidence on the distinctive influences of information quality on competence-trust, goodwill-trust, exchange-risk and relationship-risk and how these different dimensions influence the intent to use inter-organizational data exchanges.

In this paper, we present a novel architecture and its implementation for inter-organizational data sharing, which provides a high level of security and privacy for patient data in semi-trusted cloud computing environments.

There are seven stages in this process model, but only the analysis-and-design stage is specific to XML characteristics for defining Data Type Definition (DTD) to be used with XML in the inter-organizational data exchange.

This study investigates the influence of information quality, trust and risk perceptions on the expected transaction performance of inter-organizational data exchanges and on the user intent to continue using the exchange.

The "like" button, by itself, serves as a massive spur to inter-organizational data analysis of consumer behavior at a scale never before available to sampling-driven marketing analytics.