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Identifying and prioritizing marketing strategies for the building energy management systems using a hybrid fuzzy MCDM technique

Publication Year :
2023

Abstract

Preventing energy waste in residential and office buildings has emerged as a critical issue in both developed and developing countries over recent decades. The growing demand for oil and energy reserves has amplified the urgency of this concern. The deployment of building energy management systems (BEMSs) can lead to timely responses to changes in environmental conditions, the prevention of energy wastage, a reduction in CO2 emissions, and an increase in the longevity of building equipment. Despite the undeniable benefits of BEMSs, their market size remains small, creating challenges for providers in reaching potential customers. This research seeks to identify and prioritize the marketing strategies for BEMSs. A case study was conducted, employing the “Strengths, Weaknesses, Opportunities, and Threats” analysis as a tool for identifying marketing strategies related to BEMSs. This method resulted in the identification of 18 distinct marketing strategies. These strategies were subsequently prioritized using a novel fuzzy multicriteria decision-making technique, VIkor-topSIS, considering six specific criteria. The findings of the study suggested a hierarchical influence of six criteria on the BEMS market, arranged in the following order of significance: effectiveness, cost, attainability, complexity, timing, and popularity. Furthermore, the top three marketing strategies for BEMSs were found to be internet advertising strategies, discounts to consumers, and online sales. The analysis of the results has also offered valuable insights into the strengths and weaknesses of the studied BEMS provider, as well as the opportunities and threats present within the BEMS market.<br />CC BY 4.0Correspondence: Masood Fathi, Division of Intelligent Production Systems, School of Engineering Science, University of Skövde, 54128 Skövde, Sweden. Email:masood.fathi@his.se

Details

Database :
OAIster
Notes :
Beheshtinia, Mohammad Ali, Sayadinia, Shakiba, Fathi, Masood
Publication Type :
Electronic Resource
Accession number :
edsoai.on1416046527
Document Type :
Electronic Resource
Full Text :
https://doi.org/10.1002.ese3.1584