A behavioral change-based approach to energy efficiency in a manufacturing plant

Mahapatra, Krushna; Alm, Rickard; Hallgren, Ramona; Bischoff, Lena; Tuglu, Nil; Kuai, Le; Yang, Ye; Umoru, Ibrahim

doi:10.1007/s12053-017-9581-9

Cited by 15 publications

(6 citation statements)

References 27 publications

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“…Figure 3 shows that employees' behaviour actions cause energy efficiency results. Their motivation initiated their actions [33]. Energy efficiency behaviour also can be affected by increasing knowledge, abilities, skills, and attitude of energy consumers towards energy usage to reduce energy consumption [34].…”

Section: Conceptual Studymentioning

confidence: 99%

A review of electricity consumer behavioural change under sustainable energy management scheme

Sulaima

Jumidey²,

Ahmad³

et al. 2022

Bulletin EEI

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Many authorities launched their energy sustainability plan that involve the sustainable energy management scheme to improve energy efficiency. The sustainable energy management scheme consists of several measures to encourage energy efficiency in three primary energy consumers by pursuing implementation measures in the industrial, commercial, and residential sectors. Meanwhile, energy performance is quantifiable in energy efficiency and energy consumption become one of scheme measure aspects. In this review, the ASEAN Energy Management Scheme (AEMAS) was discussed as a regionally structured training and certification system for ASEAN Energy Managers. Besides that, Energy Management Gold Standard (EMGS) is AEMAS's first regional achievement certification for global excellence in energy management systems. Previous literatures exposed the key to energy efficiency goals is behavioural change, which means individual attitudes affect energy consumption.

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Section: Conceptual Studymentioning

confidence: 99%

A review of electricity consumer behavioural change under sustainable energy management scheme

Sulaima

Jumidey²,

Ahmad³

et al. 2022

Bulletin EEI

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“…There are many factors identified as significant drivers or barriers by vast literature that studied energy efficiency behaviour. They are: “change aversion or status-quo bias” (Jabbour et al , 2016; Kahneman et al , 2018; Samuelson and Zeckhauser, 1988), “values” (Faiers et al , 2007; Palm and Thollander, 2010; Rahman and Reynolds, 2019; Stern et al , 1999), “socialization” (Furedi, 2009; Thøgersen and Grønhøj, 2010; Tyagi et al , 2015), “habit” (Dahlbom et al , 2009; Lo et al , 2014; Mansor, 2017), “proactiveness” (Cagno and Trianni, 2014; Jabbour et al , 2016; Meinherz, 2018), “leadership” (Doris et al , 2009; Mahapatra et al , 2018), “energy policy” (Allcott et al , 2014; Schleich et al , 2009; Stenqvist and Nilsson, 2012), “incentive schemes” (Gillingham et al , 2006; Romankiewicz et al , 2012; Shi et al , 2008), “delegation of power” (Munro, 2012; Thollander and Palm, 2013), “life cycle cost-purchase policy” (Marchi and Zanoni, 2017; Pauliuk et al , 2017), “suggestion schemes” (Thollander and Palm, 2013) and “budget allocation” (Hepbasli and Ozalp, 2003; Rohdin et al , 2007).…”

Section: Literature Reviewmentioning

confidence: 99%

Industrial energy behaviour model: an analysis using the TISM approach

Chillayil

Suresh

Viswanathan

et al. 2021

JSTPM

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Purpose In the realm of energy behaviour studies, very little research has been done to understand industrial energy behaviour (IEB) that influences the willingness to adopt (WTA) energy-efficient measures. Most of the studies on energy behaviour were focused on the residential and commercial sectors where the behaviour under investigation was under volitional control, that is, where people believe that they can execute the behaviour whenever they are willing to do so. The purpose of this paper is to examine the factors influencing the industry’s intentions and behaviour that leads to enhanced adoption of energy efficiency measures recommended through energy audits. In particular, this paper aims to extend the existing behaviour intention models using the total interpretive structural modelling (TISM) method and expert feedback to develop an IEB model Design/methodology/approach TISM technique was used to determine the relationship between different elements of the behaviour. Responses were collected from experts in the field of energy efficiency to understand the relationship between identified factors, their driving power and dependency. Findings The results show that values, socialisation and leadership of individuals are the key driving factors in deciding the individual energy behaviour. WTA energy-saving measures recommended by an energy auditor are found to be highly dependent on the organisational policies such as energy policy, delegation of power to energy manager and life cycle cost evaluation in purchase policy. Research limitations/implications This study has a few limitations that warrant consideration in future research. First, the data came from a small sample of energy experts based on a convenience sample of Indian experts. This limits the generalizability of the results. Individual and organizational behaviour analysed in this study looked into a few select characteristics, derived from the literature review and expert feedback, which may pose questions about the standard for behaviours in different industries. Practical implications Reasons for non-adoption of energy audit recommendations are rarely shared by the industries and the analysis of individual and organisational behaviour through structured questionnaire and surveys have serious limitations. Under this circumstance, collecting expert feedback and using the TISM method to build an IEB model can help to build strategies to enhance the adoption of energy-efficient measures. Social implications Various policy level interventions and regulatory measures in the energy field, adopted across the globe, are found unsuccessful in narrowing the energy-efficiency gap, reducing the greenhouse gas (GHG) emissions and global warming. Understanding the key driving factors can help develop effective intervention strategies to improve energy efficiency and reduce GHG emissions. Originality/value The industry energy behaviour model with driving, linking and dependent factors and factor hierarchy is a novel contribution to the theory of organisational behaviour. The model takes into consideration both the individual and organisational factors where the decision-making is not strictly under volitional control. Understanding the key driving factor of behaviour can help design an effective intervention strategy that addresses the barriers to energy efficiency improvement. The results imply that it is important to carry out post energy audit studies to understand the implementation rate of recommendations and also the individual and organisational factors that influence the WTA energy-saving measures.

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“…Johansson (2015) states that the organizational implementation of the energy management process is crucial, especially in terms of power of the energy manager and for lowering informational barriers. Mahapatra et al (2018) highlight the powerful effect of behavioural changes in the work force in heavy industry. Lawrence et al (2019) identify organizational effects in firms as most hindering barriers.…”

Section: Introductionmentioning

confidence: 99%

Overcoming the efficiency gap: energy management as a means for overcoming barriers to energy efficiency, empirical support in the case of Austrian large firms

Schützenhofer

2021

Energy Efficiency

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The energy efficiency gap has been presented as a prevalent paradox in the literature as individuals and firms fail to invest money or effort in seemingly highly profitable efficiency improvements. This article contributes to answering which management tools promote the realization of economic energy savings. This article first provides a comparison of the barriers to energy efficiency in firms from the literature with the prescriptions of ISO standards for energy management. Second, we provide empirical evidence that such ISO-certified large Austrian firms increased implementation of energy efficiency measures by 165% compared to those firms with business-as-usual decision-making methods. These higher conservation efforts observed support the hypothesis that ISO standards are an effective instrument to overcome efficiency barriers in an economic way. The main contributing factors for this achievement are the internalization of the identification process of savings potentials and setting up a stringent decision-making and governance process, thereby increasing implementation rates of measures.

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A behavioral change-based approach to energy efficiency in a manufacturing plant

Cited by 15 publications

References 27 publications

A review of electricity consumer behavioural change under sustainable energy management scheme

A review of electricity consumer behavioural change under sustainable energy management scheme

Industrial energy behaviour model: an analysis using the TISM approach

Overcoming the efficiency gap: energy management as a means for overcoming barriers to energy efficiency, empirical support in the case of Austrian large firms

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