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Sustainability
Article . 2022
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Structural Equation Model of Factors Influencing the Selection of Industrial Waste Disposal Service in Cement Kilns

Authors: Ukrit Suksanguan; Somsak Siwadamrongpong; Thanapong Champahom; Sajjakaj Jomnonkwao; Tassana Boonyoo; Vatanavongs Ratanavaraha;

Structural Equation Model of Factors Influencing the Selection of Industrial Waste Disposal Service in Cement Kilns

Abstract

Industrial waste disposal in a cement kiln is an operation that includes waste disposal as well as the conversion of waste into renewable energy, which is a cement industry in many countries. This research studied business factors related to the intention to use co-processing industrial waste disposal service in cement kilns by surveying the data with questionnaires from 1251 customers nationwide. The objectives of this research were to study the relationship of business factors by using structural equation modeling to analyze factors influencing the selection of industrial waste disposal service in cement kilns. The study results found that customer attitude towards the following factors, including perceived ease of use, perceived usefulness, disposal price, service provider location, promotion, people, and a service provider’s infrastructure, influenced intention to use the service. The variables that customers gave importance to were the industrial waste disposal with zero wastes to landfill and the use of industrial waste relevant to the circular economy by using the industrial waste, which has a quality of renewable fuel in cement kiln as the renewable fuel of the cement furnace. According to the research results, service providers in cement kilns can potentially plan service strategies to achieve sustainability for further business operations in a highly competitive market.

Keywords

Technology Acceptance Model, Environmental effects of industries and plants, co-processing, alternative fuel, TJ807-830, TD194-195, Renewable energy sources, Environmental sciences, marketing mix, Theory of Planned Behavior, marketing mix; Technology Acceptance Model; Theory of Planned Behavior; alternative fuel; co-processing, GE1-350

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    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
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    impulse
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
2
Top 10%
Average
Average
gold