Perceived information pollution: conceptualization, measurement, and nomological validity

  • Qaisar Iqbal*
  • , Noor Hazlina Ahmad
  • , Rashid Nawaz
  • *Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

15 Scopus citations

Abstract

Purpose: Currently, employees are facing information explosion in the presence of disruptive information and communication technologies of industry 4.0. With the prevalent nature of information pollution, employees are suffering to process large volume of information in order to access quality information. The objective of present study is to develop a measurement scale of perceived information pollution in the context of workplace. Furthermore, this study aims to assess the nomological validity of the proposed construct. Design/methodology/approach: This study has employed a sequential exploratory mixed-method design to develop and validate the measurement scale of perceived information pollution. The population of the present study comprised of the employees who work in the operations and credit department of banking sector. The present study has used exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) to analyze data in AMOS. Findings: The present study has developed the second-order measurement scale of perceived information pollution. The perceived information pollution comprises of five dimensions – accessible, intrinsic, contextual, representational, and distractive information pollution. This study has also confirmed the nomological validity of the information pollution in relation to employee's job satisfaction, work effort, and learning effort. Research limitations/implications: Management may employ the five dimensions as a benchmark in revealing polluted information as well as enhancing information quality through information processing. Originality/value: This study has contributed to the literature of information management by providing a five-dimensional scale of perceived information pollution and confirming its nomological validity.

Original languageEnglish
Pages (from-to)705-722
Number of pages18
JournalOnline Information Review
Volume44
Issue number3
DOIs
StatePublished - 10 Jun 2020
Externally publishedYes

Bibliographical note

Publisher Copyright:
© 2020, Emerald Publishing Limited.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 9 - Industry, Innovation, and Infrastructure
    SDG 9 Industry, Innovation, and Infrastructure

Keywords

  • Big data
  • Industry 4.0
  • Information and communication technologies
  • Information quality
  • Nomological validity
  • Pakistan
  • Rife infollution
  • Service sector

ASJC Scopus subject areas

  • Information Systems
  • Computer Science Applications
  • Library and Information Sciences

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