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Data is considered the new oil of the economy, but privacy concerns limit their use, leading to a widespread sense that data analytics and privacy are contradictory. Yet such a view is too narrow, because firms can implement a wide range of methods that satisfy different degrees of privacy and still enable them to leverage varied data analytics methods. Therefore, the current study specifies different functions related to data analytics and privacy (i.e., data collection, storage, verification, analytics, and dissemination of insights), compares how these functions might be performed at different levels (consumer, intermediary, and firm), outlines how well different analytics methods address consumer privacy, and draws several conclusions, along with future research directions.
AS WE INCREASINGLY RELY ON SEARCH ENGINES AS AN IMPORTANT SOURCE OF INFORMATION TO SUPPORT OUR DECISIONS, SEARCH ENGINES BECAME AN IMPORTANT VENUE FOR FIRMS TO ATTRACT ATTENTION AND SECURE THE LONGEVITY OF THEIR OPERATIONS. THIS ARTICLE DISCUSSES THE RESULTS OF OUR EMPIRICAL STUDIES ON HOW TO CAPTURE A FIRM’S VISIBILITY IN ORGANIC SEARCH AND HOW IT AFFECTS ITS SHORT- AND LONG-TERM FINANCIAL PERFORMANCE.