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 aims to…
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.
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Guohao Chen, Lingyun Li, Jian Ouyang, Zhuoyan Zhu, Feng Wang, Yuanyuan Wang, Junjie Xue and Jingmao Zhao
The aim of the present paper was to investigate the inhibition performance of the OF and/or IM on L360 steel in CO2/H2S environments. The pipeline steel surface usually has been…
Abstract
Purpose
The aim of the present paper was to investigate the inhibition performance of the OF and/or IM on L360 steel in CO2/H2S environments. The pipeline steel surface usually has been pre-treated before using in the oil/gas field, such as by passivation, blackening, and phosphiding. The effectiveness of inhibition can vary because there are many differences between the metal matrix and the treated film.
Design/methodology/approach
Imidazoline (IM) was synthesized by using oleic acid and diethylenetriamine, and its composition was verified using Fourier transform infrared spectroscopy. The oxide film (OF) covering a sample of L360 steel was characterized using X-ray diffraction, and its surface morphology was observed using scanning electron microscope. Electrochemical impedance spectroscopy measurements were conducted to study the inhibition performance of IM- and/or OF-covered L360 steel in the CO2/H2S environments.
Findings
The results show that IM and OF can prevent corrosion on L360 steel in CO2/H2S environments, and the synergistic inhibition effect of IM and OF was very evident. A possible model is proposed to explain the synergistic inhibition effect in the CO2/H2S environments of IM and OF on L360 steel.
Originality/value
Few reports have concerned the effect of the OF on the inhibitor’s performance, especially in CO2/H2S systems. The aim of the present study was to investigate the inhibition performance of the OF and/or IM on L360 steel in CO2/H2S environments. A model is proposed to explain the synergistic inhibition effect mechanism between IM and OF.
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Xiangyu Liu, Ping Zhang, Guanglong Du, Ziping He and Guohao Chen
The purpose of this paper is to provide a novel training-responding controlling approach for human–robot interaction. The approach is inspired by the processes of muscle memory…
Abstract
Purpose
The purpose of this paper is to provide a novel training-responding controlling approach for human–robot interaction. The approach is inspired by the processes of muscle memory and conditioned reflex. The approach is significant for dealing with the problems of robot’s redundant movements and operator’s fatigue in human–robot interaction system.
Design/methodology/approach
This paper presented a directional double clustering algorithm (DDCA) to achieve the training process. The DDCA ensured that the initial clustering centers uniformly distributed in every desired cluster. A minimal resource allocation network was used to construct a memory responding algorithm (MRA). When the human–robot interaction system needed to carry out a task for more than one time, the desired movements of the robot were given by the MRA without repeated training. Experimentally demonstrated results showed the proposed training-responding controlling approach could successfully accomplish human–robot interaction tasks.
Findings
The training-responding controlling approach improved the robustness and reliability of the human–robot interaction system, which presented a novel controlling method for the operator.
Practical implications
This approach has significant commercial applications, as a means of controlling for human–robot interaction could serve to point to the desired target and arrive at the appointed positions in industrial and household environment.
Originality/value
This work presented a novel training-responding human-robot controlling method. The human-robot controlling method dealt with the problems of robot’s redundant movements and operator’s fatigue. To the authors’ knowledge, the working processes of muscle memory and conditioned reflex have not been reported to apply to human-robot controlling.
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Yee Sye Lee, Ali Rashidi, Amin Talei, Mehrdad Arashpour and Farzad Pour Rahimian
In recent years, deep learning and extended reality (XR) technologies have gained popularity in the built environment, especially in construction engineering and management. A…
Abstract
Purpose
In recent years, deep learning and extended reality (XR) technologies have gained popularity in the built environment, especially in construction engineering and management. A significant amount of research efforts has been thus dedicated to the automation of construction-related activities and visualization of the construction process. The purpose of this study is to investigate potential research opportunities in the integration of deep learning and XR technologies in construction engineering and management.
Design/methodology/approach
This study presents a literature review of 164 research articles published in Scopus from 2006 to 2021, based on strict data acquisition criteria. A mixed review method, consisting of a scientometric analysis and systematic review, is conducted in this study to identify research gaps and propose future research directions.
Findings
The proposed research directions can be categorized into four areas, including realism of training simulations; integration of visual and audio-based classification; automated hazard detection in head-mounted displays (HMDs); and context awareness in HMDs.
Originality/value
This study contributes to the body of knowledge by identifying the necessity of integrating deep learning and XR technologies in facilitating the construction engineering and management process.
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Hongyun Tian, Shuja Iqbal and Shamim Akhtar
In the competitive business world, companies strive to be innovative, and to do so, they try to implement innovative human resource practices. Therefore, the authors propose an…
Abstract
Purpose
In the competitive business world, companies strive to be innovative, and to do so, they try to implement innovative human resource practices. Therefore, the authors propose an association between innovative human resource practice, organizational commitment, innovation performance and transformational leadership.
Design/methodology/approach
This study gathered data from 1,037 small- and medium-sized enterprises and implied partial least square structural equation modeling PLS-SEM using Smart PLS was adopted to test the hypotheses.
Findings
The findings reveal positive direct relationships between innovative human resource practices, organizational commitment and innovation performance. Moreover, organizational commitment positively mediates and transformational leadership significantly and positively moderates the relationship. Companies should use innovative recruitment and selection, performance management, and innovative compensation to enhance organizational commitment and innovation performance. In addition, the optimized organizational commitment aids in strengthening the connection between innovative human resource practices and firms' innovation performance.
Originality/value
Managers should also develop a sense of affiliation and attachment to increase innovation performance. The study contributes empirically to the literature on innovative human resource practices and their effect on organizational commitment and innovation performance.