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Studies surrounding emerging technologies like blockchain, IoT and others which use machine learning and data science are welcome, if they are connected with information management and data driven decision making.However, strength of data analysis for demonstrating findings objectively would be very critical for these studies to get published. The journal publishes studies that validate theoretical models based on cross-sectional and longitudinal data, experiments, and even qualitative research.Studies in related disciplines in management and social sciences can be published if they contribute to information management and data-based decision making literature adequately.Case studies on information management which demonstrate theoretical insights based on empirical evidences in an organizational or national setting.
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The solutions help organizations capture, aggregate and analyze customer data, profiles and signals throughout the entire buying journey and. Studies which adopt emerging methods like machine learning and artificial intelligence algorithms for improving decision making and information management are welcome if they provide novel empirical evidences. OpenText data and insights solutions provide a complete 360-degree view into customer patterns, preferences and behaviors to deliver personalized and differentiated customer experiences.Data science and big data studies surrounding unstructured data analysis like opinion mining, sentiment analysis, text mining, image mining, video analytics and network science generated by individuals, groups, communities and firms. Insight is gained by analyzing data and information to understand what is going on with the particular situation or phenomena.Empirical studies which use a data-driven approach for contributing towards information management literature.IJIM Data Insights is interested in publishing state-of-the-art articles which address one or more the following themes and contexts: The empirical evidences could be extracted from structured, semi-structured or unstructured data and contribute to information management and data driven decision making literature. It attempts to extract knowledge and generate inferences by using a variety of methods, processes, algorithms and perspectives to provide actionable insights into a context or problem. A companion title to the International Journal of Information Management, IJIM Data Insights is a peer reviewed gold open access journal focusing on empirical evidences for information management using emerging data science methods.ĭata science is an emerging research methodology that contributes to information management through the influence of data analysis methods borrowed from disciplines like computer science, operations research and statistics.