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Companies with corporate social responsibility (CSR) practices care about customers, society, the environment and workers. This study aims to examine the impact of CSR practices (i.e. economic CSR, environmental CSR and societal CSR) on consumers’ purchase intention of apparel products, with the mediating role of consumer-retailer love on this relationship.

Data gathered using purposive sampling technique from 300 young online consumers using purposive sampling were analyzed using partial least squares structural equation modeling via SmartPLS3.0.

The results reveal that CSR practices (i.e. environmental CSR and societal CSR) have a positive influence on purchase intention for apparel products. Moreover, consumer-retailer love mediates the relationship between CSR practices (i.e. economic CSR and environmental CSR) and consumers’ purchase intention for apparel products.

Apparel retail marketers should focus on key determinants when designing CSR campaigns and communicating these CSR initiatives in social media and annual reports. They should also focus on their service quality to create a good perception (images) that helps measure the emotional response (love) between the retailer and consumers.

By applying the triple bottom line framework and the stimulus-organism-response model in a single framework, this study is unique and highlights the role of consumer-retailer love as an important mediator on the impact between CSR practices (i.e. economic CSR, environmental CSR, societal CSR) and consumers’ purchase intention of apparel products. The findings represent a new contribution to the existing literature, as there has been very limited research on this relationship in a developing nation context.

This study aims to conduct the domain mapping of consumer behaviour research in the context of solar energy. The study can help in understanding the intellectual structure, evolution of keywords and key research producers (at the author, institutional and source level) related to the domain of solar energy consumer research.

This study uses R-studios’ bibliometrix package for analysing the bibliographical data collected from the Scopus database. Analysis has been conducted at the descriptive level (summary, author, institution and source) and analytical level (co-citation analysis, co-occurrence analysis, thematic maps and historiography).

This study finds out the most relevant authors, institutions and sources using criteria such as production, citations and H-index. Relevant research clusters have been identified using the clustering of authors, co-citations and keywords. Thematic mapping has identified the basic and motor themes. Historical citation analysis shows the direct linkage of previous studies. Overall, this study reports the most relevant bibliometric indicators in the domain of solar energy consumer research.

Identified patterns can help policymakers, business experts, social marketers and energy conservation organisations to study consumer behaviour.

Thiis bibliometric study can effectively assess sustainable development goals and suggest improved action plans.

This study examined bibliometric analysis in solar energy products (SEPs), recognised varied domains of research work on consumers’ intention to purchase solar household products and mapped them into six groups. This study provides an overview of 40 years of research on consumer behaviour towards SEPs and discusses its findings to identify the research gap.

The purpose of this study is to introduce a new type of sensor which uses microwave metamaterials and direct-coupled split-ring resonators (DC-SRRs) to measure the dielectric properties of solid materials in real time. The sensor uses a transmission line with a bridge-type structure to measure the differential frequency, which can be used to calculate the dielectric constant of the material being tested. The study aims to establish an empirical relationship between the dielectric properties of the material and the frequency measurements obtained from the sensor.

In the proposed design, the opposite arm of the bridge transmission line is loaded by DC-SRRs, and the distance between DC-SRRs is optimized to minimize the mutual coupling between them. The DC-SRRs are loaded with the material under test (MUT) to perform differential permittivity sensing. When identical MUT is placed on both resonators, a single transmission zero (notch) is obtained, but non-identical MUTs exhibit two split notches. For the design of differential sensors and comparators based on symmetry disruption, frequency splitting is highly useful.

The proposed structure is demonstrated using electromagnetic simulation, and a prototype of the proposed sensor is fabricated and experimentally validated to prove the differential sensing principle. Here, the sensor is analyzed for sensitivity by using different MUTs with relative permittivity ranges from 1.006 to 10 and with a fixed dimension of 9 mm × 10 mm ×1.2 mm. It shows a very good average frequency deviation per unit change in permittivity of the MUTs, which is around 743 MHz, and it also exhibits a very high average relative sensitivity and quality factor of around 11.5% and 323, respectively.

The proposed sensor can be used for differential characterization of permittivity and also as a comparator to test the purity of solid dielectric samples. This sensor most importantly strengthens robustness to environmental conditions that cause cross-sensitivity or miscalibration. The accuracy of the measurement is enhanced as compared to conventional single- and double-notch metamaterial-based sensors.