IDEAS home Printed from https://ideas.repec.org/a/rnd/arimbr/v10y2018i4id538.html

Infollution (Information Pollution) Management, Filtering Strategy, Scalable Workforce, and Organizational Learning: A Conceptual Study

Author

Listed:
  • Qaisar Iqbal
  • Shaohua Yang
  • Rashid Nawaz
  • Yifeng Lin

Abstract

Information generation is increasing rapidly on a global scale. The exponential advancement in information technology and communication has accentuated the problem of effective information management. Yet, employees’ cognitive ability to process information has not increased in parallel with information generation. With the exponential rise of information, information pollution (infollution) emerges as a problem on an exponential basis. Infollution is among the greatest challenges of the 21st century. Nevertheless, based on information processing theory and dynamic capability, researchers have conceptualised that agile organisations can cope with information pollution by promoting scalable workforce and organisational learning. By employing coping strategies, filtering has been hypothesised as moderating the association of scalable workplace and organisational learning with infollution management. This research will extend the literature in the domain of information management and agile organisations. It will be particularly useful for information processors to identify quality information for improved decision-making.

Suggested Citation

  • Qaisar Iqbal & Shaohua Yang & Rashid Nawaz & Yifeng Lin, 2018. "Infollution (Information Pollution) Management, Filtering Strategy, Scalable Workforce, and Organizational Learning: A Conceptual Study," Information Management and Business Review, AMH International, vol. 10(4), pages 1-7, January.
  • Handle: RePEc:rnd:arimbr:v:10:y:2018:i:4:id:538
    DOI: 10.22610/imbr.v10i4.2641
    as

    Download full text from publisher

    File URL: https://amhinternational.com/imbr/article/view/538-infollution-information-pollution-management-filtering-strategy-scalable-workforce-and-organizational-learning-a-conceptual-study
    File Function: Abstract page
    Download Restriction: no

    File URL: https://amhinternational.com/imbr/article/download/538-infollution-information-pollution-management-filtering-strategy-scalable-workforce-and-organizational-learning-a-conceptual-study/b8a3a82a-ba56-4fcc-b2a1-7f430dbb4ae3
    File Function: Full text
    Download Restriction: no

    File URL: https://libkey.io/10.22610/imbr.v10i4.2641?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:rnd:arimbr:v:10:y:2018:i:4:id:538. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: AMH International (email available below). General contact details of provider: https://amhinternational.com/imbr .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.