Authors: Binny Samuel, Debra VanderMeer, Mahed Maddah, Roman Lukyanenko
Tags: 2019, categorization, conceptual modeling, IS categories
Traditionally, most data collection activities occurred within organizational boundaries and originated in highly structured and well-defined processes (e.g., collecting transactional data during an online purchase) (Turban 1993; Zuboff 1988). Much of this data was collected in structured formats – that is, using interfaces with predefined choices. Structured data collection, especially within organizational settings, brought a variety of benefits, such as consistency, predictability of the outcomes, ease of manipulation and analysis, as well as ability to support audits and controls (Strong et al. 1997; Wang et al. 1995). In this research, we propose a framework for understanding the nature of unstructured interfaces, including the benefits and limitations of collecting data using this format. While we believe the framework is broadly applicable to data collection in a variety of domains, we specifically focus on the scenarios when unstructured data is collected online, in social media or by online crowds.
Cite as:
Maddah M., Lukyanenko R., VanderMeer D., Samuel B. (2019). “Understanding the Effects of Gathering Data with Unstructured Interfaces,” in AIS SIGSAND, New York, NY, United States, June 1-2, 2019.
