Analysis of zero-adjusted count data
Computational Statistics & Data Analysis
Applied Survival Analysis: Regression Modeling of Time to Event Data
Applied Survival Analysis: Regression Modeling of Time to Event Data
Opening the "Black Box" of Network Externalities in Network Adoption
Information Systems Research
Information Systems Research
Identifying Innovators for the Cross-Selling of New Products
Management Science
International Diffusion of Digital Mobile Technology: A Coupled-Hazard State-Based Approach
Information Technology and Management
Journal of Management Information Systems - Special section: Strategic and competitive information systems
Time series of count data: modeling, estimation and diagnostics
Computational Statistics & Data Analysis
An investigation of factors that influence the duration of IT outsourcing relationships
Decision Support Systems
Journal of Management Information Systems
Modeling Internet firm survival using Bayesian dynamic models with time-varying coefficients
Electronic Commerce Research and Applications
Computational Statistics & Data Analysis
Information Technology and Management
Understanding early diffusion of digital wireless phones
Telecommunications Policy
Journal of Management Information Systems
Competitive Environment and the Relationship Between IT and Vertical Integration
Information Systems Research
Econometric Analysis of Count Data
Econometric Analysis of Count Data
Modern Applied Statistics with S
Modern Applied Statistics with S
A hybrid communication solution to distributed moving query monitoring systems
Electronic Commerce Research and Applications
The nature of theory in information systems
MIS Quarterly
Journal of Management Information Systems
Online and Offline Demand and Price Elasticities: Evidence from the Air Travel Industry
Information Systems Research
Are there contagion effects in information technology and business process outsourcing?
Decision Support Systems
Examining the growth of digital wireless phone technology: A take-off theory analysis
Decision Support Systems
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A large number of interesting business and technology problems in IS and e-commerce research center around events and the associated variables that influence them. Researchers are often interested in studying the timing, patterns, and frequencies of events. Some of those events are related to the timing of strategic decisions such as new technology adoption, functionality upgrades to established software products, new outsourcing contracts, and the termination of failing IS projects. Still others are external events that have significant implications on the performance of firms, the structure of industries affected by IT, and the viability of various aspects of the economy. Event history methods, also known as survival analysis and duration analysis methods, spatial analysis, and count data analysis in the medical sciences, public health and biostatistics literature, offer rigorous methods for empirical analysis that can provide rich insights into research issues that arise in association with identifiable events. This article provides a current survey of these methods and in-depth discussion of how researchers can apply them to study technology adoption problems and related issues in IS and e-commerce. We offer a framework for mapping the methods to applicable problems, and discuss the relevant variants of the methods. We also illustrate the range of research questions that can be asked and answered through the use of the methods.