Generating Indicators of Disruptive Innovation Using Big Data

Generating request streams on Big Data using clustered renewal processes

The performance evaluation of large file systems, such as storage and media streaming, motivates scalable generation of representative traces.We focus on two key characteristics of traces, popularity and temporal locality. The common practice of using a system-wide distribution obscures per-object behavior, which is important for system evaluation. We propose a model based on delayed renewal pr...

Driving Innovation Using Big Open Linked Data (BOLD) Panel

Strategic Logic of Disruptive Innovation

Today’s world of business is increasingly witnessing exemplary firms which introduce new business models, exploit new markets and disrupt established firms in order to create a unique competitive position. Although the theoretical and conceptual posture of this phenomenon is well grounded and explained in the extant literature on disruptive innovation, little is known about strategic logic of t...

RFID as a Disruptive Innovation

The first part of the paper discusses Wal-Mart’s adoption of RFID through the theoretical lens of the Resources, Processes, and Values (RPV) innovation theory. This part makes a theoretical argument that WalMart adopted RFID as a sustaining innovation – an incremental improvement in supply chain identification technology. The second part reviews a representative sample of IS literature in order...

Disruptive innovation for social change.

Countries, organizations, and individuals around the globe spend aggressively to solve social problems, but these efforts often fail to deliver. Misdirected investment is the primary reason for that failure. Most of the money earmarked for social initiatives goes to organizations that are structured to support specific groups of recipients, often with sophisticated solutions. Such organizations...