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The purpose of this paper is to identify the barriers to consumers’ intention to purchase energy efficient appliances. It uses multiple regression analysis to predict the factors that deter consumers’ purchase intention.

Five barriers to consumers’ intention to purchase energy efficient appliances were identified through an exhaustive literature survey. Data were gathered from 300 respondents from Pune city from the state of Maharashtra in India through a survey. The items were measured on a five-point Likert scale. Validity and reliability of the scale were established. Multiple regression analysis was conducted to predict consumers’ intention to purchase energy efficient appliances based on factors identified.

Findings revealed that some degree of uncertainty was associated with energy efficient appliance purchase. In addition to possessing lower degrees of awareness on energy efficient appliances, consumers tend to disbelieve claims made on labels of energy efficient appliances. Consumers also feel inconvenience in identifying these appliances, spending time to know about them and paying the price to purchase them. Hence, the factors – scepticism towards label claims and perceived personal inconvenience – were found to have negative impact on consumers’ purchase intention. Societal norm was found to have a positive impact on consumers’ purchase intention. Interestingly, price sensitivity and perceived product risk (which were expected to have a negative relationship with consumers’ purchase intention) displayed a positive relationship.

The model proposed here is based on the researcher’s identification of the barriers. There might have been unidentified barriers that were not considered. The research does not account for manufacturing or policy-based issues that might also pose as barriers. The study encourages marketers to re-examine marketing and communication policies associated with the sale of energy efficient appliances.

The paper provides insights into the external barriers faced by consumers while purchasing an energy efficient appliance. This research enables managers to understand consumer’s preference for conventional products over energy efficient ones. It attempts to check the presence of barriers to energy efficient appliances, identified from literature in a tier 1 city of India. Tier 1 city is the city with population greater than 1,00,000 as per 2001 census of India.

The purpose of the study is to examine the relationship between the application of smart electronic systems, firm characteristics and efficient energy consumption: a case of public universities in Uganda.

The study adopted both quantitative and qualitative approach as well as descriptive cross-sectional survey design tantamounting to an experimental-observation approach. A sample of four public academic universities were explored using primary data. A semi-structured questionnaire together with an evaluation form and a tested experimental kit (from one of the leading electronics centres in Uganda) was used to examine the consumption rates of different electronic appliances of less than 30 Amps. Further, a Pearson product moment correlation (r) analysis was also used to determine the direction of a relationship among the variables together with a linear relationship (regression) to predict a linear association of one or more variables. Recommendations were also given.

Smart electronic systems make a significant determining factor to both firm characteristics (age, number of students, administrative staff and support staff) as well as efficient energy consumption. Nonetheless, there is no significant difference of efficient energy consumption as far as firm characteristics are concerned.

Results support the contributions of the theory of technology and acceptance model by affirming that a number of factors influence the usefulness and ease of use of the smart electronic systems, which in turn influence energy consumption.

Universities' management should endeavour to install smart electronic systems. But still, government should try to lower taxes on smart electronic systems and genuine agents should be named for easy and affordable access of the users, universities inclusive.

The study contributes towards a theoretical position by affirming the usefulness of technology acceptance model for efficient energy consumption in public universities.

The peer review history for this article is available at: https://publons.com/publon/10.1108/IJSE-02-2019-0083

This study aims to examine the antecedents of purchase intention toward energy efficient air conditioners by incorporating the theory of planned behavior (TPB) with two additional constructs, i.e. environmental concern and personal norms. TPB is one of the most widely used theoretical framework to study consumer behavior.

The study applied a quantitative technique using a survey method by distributing self-administered questionnaires among the Indian households who have purchased energy efficient air conditioners in the past six months or had enquired to do so. The study collected data from three select regions: Delhi and NCR, Punjab and Tri-city. The collected data of 424 respondents have been analyzed using confirmatory factor analysis and structural equation modeling.

The study posits that normative factors such as subjective norms and personal norms have a relatively higher influence on purchase intention. Despite the significant existence of environmental concern, the study did not find environmental concern directly influencing purchase intention.

The sample size of the study is too small and pertains to specific regions. Thus, it could hinder the generalizability of the results. Advertisement appeals should be related with enhancement of self-esteem in terms of making responsible and valuable contribution to environment protection through the purchase of energy efficient air conditioner.

There are a few studies in the Indian context studying consumer’s purchase intention toward energy efficient air conditioners to which this study adds. The study provides an important contribution to marketers in developing strategies for increasing purchase intention toward energy efficient air conditioners in view of their stage in the product life cycle, diffusion of product and influence of normative factors.

This study examines how consumption values influence consumers' purchase intention of energy-efficient home appliances in South Africa, an emerging market. The study further investigates the mediating role of consumers' attention to energy-efficient labels affixed on home appliances while making a purchase decision and the moderating effect of consumer trust in the environmental claims.

Using a quantitative approach, this study relied on self-administered questionnaires to collect data from 505 household representatives in South Africa's Gauteng Province. The proposed conceptual model was empirically tested using structural equation modelling, moderation and mediation analyses.

The results revealed that economic, emotional and social values can only influence consumers' intention to purchase energy-efficient appliances if consumers pay attention to the energy-efficiency label affixed on the appliance. Functional value, however, has a significant direct impact on purchase intention. Moreover, the results indicate that trust in energy-efficiency labels strengthens the effect of functional and emotional values on consumers' attention to energy-efficiency labels.

Findings of this study highlight the importance of capturing the attention of consumers to energy-efficiency labels during the buying process as well as increasing their trust in those labels. Results indicate that consumers are more attracted to the functional and social values that energy-efficient appliances provide. This study is of particular interest to policymakers, retailers and manufacturers, as it sheds light on key strategies to implement to effectively promote the purchase of energy-efficient household appliances in South Africa.

The purpose of this study is to empirically evaluate the antecedents of consumers’ purchase intention of energy-efficient home appliances.

A self-administered questionnaire has been used to gather data from the targeted representatives of the population. Quota based on age and convenience sampling techniques were used to select the participants of the study, as it is a suitable technique in situations where the possibility of getting a complete sampling frame is difficult. More than 73% of the population of Pakistan is aged below 34 years (Pakistan Bureau of Statistics, 2017). Based on this information, the current study has allocated more than 75% quota to consumers who are below 35 years.

The findings of the study reveal that all antecedents have significant impact on consumers’ purchase intention of energy-efficient home appliances. Environmental concern, green trust and products’ functional values are most influencing factors in the purchase of energy-efficient home appliances.

This study is related to energy-efficient home appliances in Pakistan. Systematic literature suggested the need to analyze the antecedents of energy-efficient appliances. This study helps the practitioners and marketers to understand consumers’ behavior regarding the purchase of energy-efficient home appliances.

The prevailing literature argues the need for “new” skills to deliver energy-efficient buildings. The concept of new skills, however, has not been subject to empirical investigation. This paper aims to provide insight on the required new skills, and their development and application, for the successful delivery of energy-efficient school retrofit buildings.

The research employed a case study approach of a school retrofit building project in the early stages of the adoption of energy-efficient measures. Through the application of the socio-technical network approach (STNA) as the data collection and analysis framework, data were collected through semi-structured interviews, observations and a review of relevant organisational documentation and were analysed using thematic coding.

The findings reveal key actors (i.e. the local authority, energy contractors and school end-users), their principal interests and the required communication, project management, energy management, technical and research skills during their interactions in the successful delivery of the school retrofit building project. The results further reinforce the crucial role of the local authority in driving energy performance improvement of school buildings.

This study demonstrates empirical evidence of the principal actors and skills required for the delivery of energy-efficient school retrofit buildings, contributes to new theoretical insights at the identification of key micro-level development of construction skills through the project network and evidences on how the STNA can be mobilised in construction skills research.

The purpose of this study is to examine at energy efficiency practices within the facilities management sector and barriers to adopting energy efficient strategies, it further explored the factors that promote the employment of energy efficient practices.

The data were gathered by means of an electronic survey, administered to facilities managers in Johannesburg.

Energy efficient lighting is the most used energy efficiency practice. It further uncovered that occupant engagement and education is considered least, amongst current energy efficiency practices. This study revealed that the biggest barrier to the implementation of energy efficient facilities management practices was the cost implications of adopting FM strategies and rated the lowest were policies and regulations of energy efficiency standards. Cost reduction was the highest rated factor that promotes energy efficiency practices.

Occupants should be educated on energy efficiency through a change of their behaviours and also exposed to the benefits of using energy conservation measures. Management buy-in should be the goal of the facilities manager for the success of energy efficient practices.

This study is an encompassing study on energy efficiency where many aspects of energy efficiency and factors that promote energy efficiency were explored.

Internet of Things (IoT) is an up-and-coming conception that intends to link multiple devices with each other. The aim of this study is to provide a significant analysis of Green IoT. The IoT devices sense, gather and send out significant data from their ambiance. This exchange of huge data among billions of devices demands enormous energy. Green IoT visualizes the concept of minimizing the energy consumption of IoT devices and keeping the environment safe.

This paper attempts to analyze diverse techniques associated with energy-efficient protocols in green IoT pertaining to machine-to-machine (M2M) communication. Here, it reviews 73 research papers and states a significant analysis. Initially, the analysis focuses on different contributions related to green energy constraints, especially energy efficiency, and different hierarchical routing protocols. Moreover, the contributions of different optimization algorithms in different state-of-the-art works are also observed and reviewed. Later the performance measures computed in entire contributions along with the energy constraints are also checked to validate the effectiveness of entire contributions. As the number of contributions to energy-efficient protocols in IoT is low, the research gap will focus on the development of intelligent energy-efficient protocols to build up green IoT.

The analysis was mainly focused on the green energy constraints and the different robust protocols and also gives information on a few powerful optimization algorithms. The parameters considered by the previous research works for improving the performance were also analyzed in this paper to get an idea for future works. Finally, the paper gives some brief description of the research gaps and challenges for future consideration that helps during the development of an energy-efficient green IoT pertaining to M2M communication.

To the best of the authors’ knowledge, this is the first work that reviews 65 research papers and states the significant analysis of green IoT.

The purpose of this paper is to investigate how consumers’ altruistic values influence their personal norms, environmental attitudes, subjective norms and perceived barriers, all of which in turn influence their pro-environmental behaviour (i.e. the purchase of energy efficient household appliances).

This research follows a hypothetic-deductive approach. A unique conceptual model examines the role of consumers’ altruistic values in relation to their environmentally responsible purchase behaviour. Structured questionnaires were administered to randomly selected Vietnamese consumers who visited busy electronics and appliance specialist stores, which yielded 682 usable responses.

Structural equation modelling revealed that consumers’ altruistic values tend to positively influence their personal norms, environmental attitudes, subjective norms and mitigate their perceived barriers in relation to the purchase of energy efficient appliances.

Marketers, policymakers and sustainability campaigners should develop relevant communication and education programmes that emphasise the importance of purchasing energy efficient appliances for the environment and society, arousing consumers’ sense of moral obligation and societal responsibility to purchase such products. They should also provide a convenient and easily accessible shopping environment for consumers.

This research makes an important contribution by presenting and testing a new altruistic-values-based model that seeks to understand consumers’ environmentally responsible purchase behaviour. This model could serve as a blueprint for future studies in the domain of pro-environmental behaviour, especially those in emerging markets.

The purpose of this paper is to design a hierarchical routing protocol. Wireless sensor network (WSN) consists of a set of miniature sensor nodes powered by a low-capacity energy battery. This limitation requires that energy is used in an efficient way and kept as long as possible to allow the WSN to accomplish its mission. Thus, energy conservation is a very important problem facing researchers in this context. Because sending and receiving messages is the activity that consumes the most energy in a WSN, so when designing routing protocols, this problem is targeted specifically. The aim of this paper is to propose a solution to this problem by designing a hierarchical routing protocol.

The authors started by designing a protocol called efficient energy-aware distributed clustering (EEADC). Simulation result showed EEADC might generate clusters with very small or very large size. To solve this problem, the authors designed a new algorithm called fixed efficient energy-aware distributed clustering (FEEADC). They concluded from the simulation result that cluster-heads (CHs) far away from the base station die faster than the ones closer to it. To remedy this problem, they propose multi-hop fixed efficient energy-aware distributed clustering (M-FEEADC). It is based on a new fixed clustering mechanism, which aims to create a balanced distribution of CHs. It uses data aggregation and sleep/wakeup techniques.

The simulation results show a significant improvement in terms of energy consumption and network lifetime over the well-known low-energy adaptive clustering hierarchy and threshold-sensitive energy-efficient protocols.

The authors propose M-FEEADC. It is based on a new fixed clustering mechanism, which aims to create a balanced distribution of CHs. It uses data aggregation and sleep/wakeup techniques.