A human-machine interaction framework for identifying factors influential consumer participation in e-waste treatment schemes

ABSTRACT

This study aims to reveal the factors of consumer participation in official electronic and electrical waste treatment schemes based on practical approaches. An intelligent text analysis technique was employed to interact between consumers, the industrial sector, and the government. With this framework, complex calculations can be performed on textual web data, with an analyst directing the process toward accurate and detailed results. An analysis of Web reports was conducted to determine how industry and government handle consumer demand in practice. The current research approach allows tracking various entities in sustainable electronic waste management and their related trends. A total of 743 web reports were selected and analyzed according to the criteria chosen by the authors. The results revealed that elements related to awareness, costs, incentives, security, information, trust, and convenience affect consumer participation. These factors have been the approaches of the industry and the government to attract the participation of consumers.

KEYWORDS:

• Treatment schemes
• e-waste
• WEEE
• text analysis
• sense-making

Disclosure statement

No potential conflict of interest was reported by the author(s).

Availability of data and materials

The authors have made use of some general information sites and Social Media which are all carefully mentioned in the submitted work’