A multi-dimensional construct of perceived information pollution in the era of rife infollution. Issue 2 (13th May 2019)

• Record Type: Journal Article
• Authors: Iqbal, Qaisar; Yang, Shaohua; Nawaz, Rashid; Iqbal, Khalid
• Is Part Of: VINE journal of information and knowledge management systems. Volume 49:Issue 2(2019)
• Page Start: 162
• Page End: 180
• Publication Date: 2019-05-13
• Subjects: Big data -- Data quality -- Information quality -- Linear relationship -- Exponential relationship -- Rife infollution; Libraries -- Automation -- Periodicals; Information storage and retrieval systems -- Periodicals; 020
• DOI: 10.1108/VJIKMS-10-2018-0093
• Languages: English
• ISSNs: 2059-5891

Abstract

Abstract : Purpose: This paper aims to evaluate employee's perception regarding information pollution and determined the factors that lead to perceived infollution. In the case of this study, a four-dimensional scale of perceived infollution is presented. In addition, this study quantified information pollution in contrast to using the measurement tools of information quality. Design/methodology/approach: A sequential exploratory mixed-method design was used to validate the measurement scale. The population of the present study comprised of the employees who work in the operations and credit department of banking sector. In this study, a four-dimensional second-order scale of perceived information pollution with a total of 19 items or sub-dimensions managed to be developed using exploratory factor analysis and confirmatory factor analysis. Findings: The measurement scale confirmed that perceived information pollution in the context of workplace environment consisted of four dimensions, namely, intrinsic PIP, accessible PIP, contextual PIP and representational PIP where PIP stands for Perceived Information Pollution. Research limitations/implications: Management may use the four dimensions as a benchmark in revealing polluted information as well as enhancing information quality through information processing. Originality/value: This is the first attempt of exploring the dimensions and validating the measurement scale of perceived infollution.