How Low Should You Go? Low Response Rates and the Validity of Inference in IS Questionnaire Research

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Specifying Formative Constructs in Information Systems Research (2007, methodology): “Item reduction techniques like indexing and item parceling are sometimes utilized to deal with this problem, but these require assumptions that are difficult to meet, including random, unbiased samples, interchangeability of items, and unidimensionality (Sivo et al. 2006).”
Consumers' decisions in social commerce context: An empirical investigation (2015, methodology): “This approach is the most commonly used means for non-response error estimation in IS research [56].”
Toward Agile: An Integrated Analysis of Quantitative and Qualitative Field Data (2010, methodology): “To examine the possibility of nonresponse bias, we split the sample into two half-sized subgroups based on the time when each response was received (Bailey 1987; Sivo et al. 2006).”
Structural Equation Modeling in Information Systems Research Using Partial Least Squares (2010, background): “Sivo et al. (2006) have discussed the issue of low response rates in IS research.”
An Update and Extension to SEM Guidelines for Admnistrative and Social Science Research (2011, neutral): “Also see Sivo et al. (2006).”