EconPapers    
Economics at your fingertips  
 

Online Household Waste Management: Measurement, Reporting and Awareness Education

Elspeth McKay (), Tehmina Khan () and David Teh ()
Additional contact information
Elspeth McKay: RMIT University
Tehmina Khan: RMIT University
David Teh: RMIT University

Chapter Chapter 21 in Handbook of Big Data and Analytics in Accounting and Auditing, 2023, pp 491-508 from Springer

Abstract: Abstract Managing household waste has become a real problem in Australia. One solution is to deal with this dilemma with a circular economy model of waste management; encompassing the repair, reuse and recycling of materials to get as much use out of waste material as possible, identified as a priority for the Victorian State Government. Households play a critical role in all stages of waste management, including reducing, reusing and recycling their waste materials. Research shows undertaking such measures has a dramatic and material impact on the generation of such household waste. This chapter describes a project aimed at evaluating an online interactive training-tool designed to increase awareness of effective household waste management (HWM) strategies. The waste management training-tool will be free and made available to Australian households in Victoria through their mobile phones. The Rasch psychometric model will be used to assess the impact of this waste management training-tool, to provide expected percentages of behavioral improvement.

Keywords: Household waste management; Training-tool; Rasch psychometric model; Accounting; Data analytics; Australia (search for similar items in EconPapers)
Date: 2023
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-981-19-4460-4_21

Ordering information: This item can be ordered from
http://www.springer.com/9789811944604

DOI: 10.1007/978-981-19-4460-4_21

Access Statistics for this chapter

More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2025-03-23
Handle: RePEc:spr:sprchp:978-981-19-4460-4_21