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Abstract

Details

Silicon Valley North
Type: Book
ISBN: 978-0-08044-457-4

Book part
Publication date: 4 September 2004

Abstract

Details

Silicon Valley North
Type: Book
ISBN: 978-0-08044-457-4

Article
Publication date: 1 October 2021

Rahil Irfan Ahmed, Guohao Zhao, Naveed Ahmad and Umme Habiba

Corporate social responsibility (CSR) is a requirement for energy enterprises as different stakeholders deem environmental and social responsibility the duty. This study…

Abstract

Purpose

Corporate social responsibility (CSR) is a requirement for energy enterprises as different stakeholders deem environmental and social responsibility the duty. This study aims to explore the determinants that affect CSR disclosure in energy enterprises of developing nations.

Design/methodology/approach

Panel data of energy companies is used that are listed on Pakistan Stock Exchange. A comprehensive CSR disclosure index is developed using seven themes, i.e. environment, employees, energy, emissions, product, community development and other CSR-related activities. A random effect model of regression is used on the sample of data.

Findings

The finding of the study reveals that profitability, financial leverage, board size and being a multinational subsidiary has a significant relationship with CSR disclosure level.

Research limitations/implications

The sample is confined to a certain number of years and publicly traded energy companies. Further studies can explore the relationship of CSR among different groups of firms, such as SMEs, non-listed companies and state-run enterprises to document whether the findings are significant or not. The opinions and ideas of external stakeholders could also be explored using various qualitative methods such as interviews.

Originality/value

To the best of the authors’ knowledge, it is the first study of its kind whose only focus is energy sector enterprises. A comprehensive scale is used to measure CSR practices. It is helpful for upcoming studies to examine the various aspects of CSR research and figure sound outcome.

Details

Journal of Business & Industrial Marketing, vol. 37 no. 6
Type: Research Article
ISSN: 0885-8624

Keywords

Article
Publication date: 19 July 2021

Mohd Ann Amirul Zulffiqal Md Sahar, Zainuriah Hassan, Sha Shiong Ng, Way Foong Lim, Khai Shenn Lau, Ezzah Azimah Alias, Mohd Anas Ahmad, Nur Atiqah Hamzah and Rahil Izzati Mohd Asri

The aims of this paper is to study the effects of the V/III ratio of indium gallium nitride (InGaN) quantum wells (QWs) on the structural, optical and electrical…

Abstract

Purpose

The aims of this paper is to study the effects of the V/III ratio of indium gallium nitride (InGaN) quantum wells (QWs) on the structural, optical and electrical properties of near-ultraviolet light-emitting diode (NUV-LED).

Design/methodology/approach

InGaN-based NUV-LED is successfully grown on the c-plane patterned sapphire substrate at atmospheric pressure using metal organic chemical vapor deposition.

Findings

The indium composition and thickness of InGaN QWs increased as the V/III ratio increased from 20871 to 11824, according to high-resolution X-ray diffraction. The V/III ratio was also found to have an important effect on the surface morphology of the InGaN QWs and thus the surface morphology of the subsequent layers. Apart from that, the electroluminescence measurement revealed that the V/III ratio had a major impact on the light output power (LOP) and the emission peak wavelength of the NUV-LED. The LOP increased by up to 53% at 100 mA, and the emission peak wavelength of the NUV-LED changed to a longer wavelength as the V/III ratio decreased from 20871 to 11824.

Originality/value

This study discovered a relation between the V/III ratio and the properties of QWs, which resulted in the LOP enhancement of the NUV-LED. High TMIn flow rates, which produced a low V/III ratio, contribute to the increased LOP of NUV-LED.

Details

Microelectronics International, vol. 38 no. 3
Type: Research Article
ISSN: 1356-5362

Keywords

Article
Publication date: 26 April 2022

Jason M.S. Lam, Zafir Khan Mohamed Makhbul, Norzalita Abd Aziz and Mohd Amirul Hafidz Ahmat

The present study aims to examine and explain cultural heritage destination by applying multiple dimension image model (cognitive–affective–conative aspects).

Abstract

Purpose

The present study aims to examine and explain cultural heritage destination by applying multiple dimension image model (cognitive–affective–conative aspects).

Design/methodology/approach

A total of 233 international heritage-based tourists were surveyed on-site at some of the most prominent historical attractions in Malacca, one of the first cities in Malaysia declared as a UNESCO World Heritage Site. The covariance-based structural equation modelling was applied to examine the hypotheses.

Findings

The structural equation modelling validated that cognitive image aspects such as living culture, intangible and tangible are affected positively. The effects are statistically significant for conative and affective images. On the other hand, cognitive tangible image is an aspect that impacted affective image to a lesser degree than conative image. Whereas affective image attributes were found to have significant and positive influence on conative image.

Originality/value

This study enriches the limited empirical research study on heritage image conceptualisation by expanding into tri-component model. The destination image has garnered a great deal of attention, particularly due to its significant and impactful influence on the decision-making and the sustainable behaviour of tourists, and it has since become the subject of many studies in the tourism and hospitality literatures. But most research concerning heritage image for destinations has considered the construct uni-dimensionally.

Details

Journal of Cultural Heritage Management and Sustainable Development, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 2044-1266

Keywords

Open Access
Article
Publication date: 3 August 2021

Junsong Jia, Yueyue Rong, Chundi Chen, Dongming Xie and Yong Yang

This paper aims to retrospectively quantify the contribution of renewable energy consumption (REC) to mitigate the carbon dioxide (CO2) emissions for the belt and road…

Abstract

Purpose

This paper aims to retrospectively quantify the contribution of renewable energy consumption (REC) to mitigate the carbon dioxide (CO2) emissions for the belt and road initiative (BRI) region. The reason is that, so far, still few scientists have deeply analyzed this underlying impact, especially from the income levels’ perspective.

Design/methodology/approach

The study divides the BRI region into four groups by the income levels (high, HI; upper middle, UM; lower middle, LM; lower, LO) during 1992–2014 and uses the logarithmic mean Divisia index.

Findings

The results show the REC of the BRI has an overall decreasing trend but the driving contribution to the CO2 growth except that the HI group’s REC has an obviously mitigating contribution of −2.09%. The number indicates that it is necessary and urgent to exploit and use renewable energy, especially in mid- and low-income countries due to the large potential of carbon mitigation. Besides, during 2010–2014, the energy intensity effects of different groups were negative except for the low income group (positive, 5.47 million tonnes), which showed that some poor countries recently reduced CO2 emissions only by extensively using renewable energy but not enhancing the corresponding efficiency. Conversely, in other rich countries, people paid more attention to improve the energy-use efficiency to lower energy intensity.

Originality/value

This study creatively analyzes this underlying impact of the REC to mitigate the CO2 emissions from the income levels’ perspective and proposes some reasonable countermeasures of reducing CO2 for the BRI region.

Details

International Journal of Climate Change Strategies and Management, vol. 13 no. 3
Type: Research Article
ISSN: 1756-8692

Keywords

Article
Publication date: 18 April 2017

Harsha Vardhan, Sanandam Bordoloi, Akhil Garg, Ankit Garg and Sreedeep S.

The purpose of this study is to measure the effects of density, moisture, fiber content on unconfined compressive strength (UCS) of soil by formulating the models based on…

Abstract

Purpose

The purpose of this study is to measure the effects of density, moisture, fiber content on unconfined compressive strength (UCS) of soil by formulating the models based on evolutionary approach and artificial neural networks (ANN).

Design/methodology/approach

The present work proposes evolutionary approach of multi-gene genetic programming (MGGP) to formulate the functional relationships between UCS of reinforced soil and four inputs (soil moisture, soil density, fiber content and unreinforced soil strength) of the silty sand. The hidden non-linear relationships between UCS of reinforced soil and the four inputs are determined by sensitivity and parametric analysis of the MGGP model.

Findings

The performance of MGGP is compared to those of ANN and the statistical analysis indicates that the MGGP model is the best and is able to generalize the UCS of reinforced soil satisfactorily beyond the given input range.

Research limitations/implications

The explicit MGGP model will be useful to provide optimum input values for design and analysis of various geotechnical infrastructures. In addition, utilization of Water hyacinth reinforced fiber reinforced soil will minimize negative impact of this species on environment and may generate rural employment.

Originality/value

This work is first of its kind in application and development of explicit holistic model for evaluating the compressive strength of heterogeneous soil blinded with fiber content. This includes the experimental and cross-validation for testing robustness of the model.

Details

Engineering Computations, vol. 34 no. 2
Type: Research Article
ISSN: 0264-4401

Keywords

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