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2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Visal Moosa ◽  
Abdul Hafeez Khalid ◽  
Ahmed Mohamed

Purpose This study aims to illustrate an overarching picture of the knowledge base on change management, including contributing authors, institutions and countries. The study also aims to elicit the intellectual structure of the knowledge base using science mapping. Design/methodology/approach The authors engaged 1,457 published documents, generated from a SCOPUS search, to analyse research conducted in the area of change management. Bibliometric indicators such as authors, institutions and countries were used in the analysis. Additionally, science mapping analyses such as keyword co-occurrence and co-citation were also performed using VOSviewer. Findings The findings indicated that scholarly work in the field of change management is on the rise. Furthermore, while the contribution from different regions of the world was observed, the most impactful scholarly works came from the West and Asia. Finally, it was found that research on change management could be classified into four schools of thought; engineering and information and communication technology (ICT) industry, organisational aspects of change, leadership aspects of change and human aspects of change. Originality/value This study contributes to the knowledge base on change management by creating an intellectual landscape of the existing research. The results demonstrated that the existing literature on the topic forms four broad clusters of knowledge and that the ICT industry is the current epicentre of research in this area. These findings could benefit researchers, as well as practitioners in streamlining their actions towards the most relevant and critical areas on the topic of change management.

M.M.F Rusdha ◽  
W.A Edirisooriya

The corporate world was undergoing a phase of digital transformation overrecent past years which led to adopt the work from home practice in different industry contexts and this practice had been accelerated due to the COVID-19 outbreak. To obtain the optimum outcome from employees, it is the major responsibility of the organizations to ensure that they are satisfied enough with the new work settings since employee job satisfaction is one of the significant elements of an effective workforce. Therefore,the main objective of this study was to examine the impact of work from home on employee job satisfaction in Information Communication Industry (ICT) industry in Sri Lanka. Using the survey strategy, responses were collected through questionnaires from 384 employees from the ICT industry in Sri Lanka. The findings of this study concluded that there is a positive impact of work from home on employee job satisfaction in the ICT industry in Sri Lanka as work from home gives more freedom, autonomy, and work-life balance. Further, it identified that the ICT organizations in Sri Lanka use a high level of work home practice and their employees’ job satisfaction level is also relatively high. The theoretical contribution of this study is that it extends the employee job satisfaction literature by empirically testing and validating the work from home in a new context. Also, the findings of this research are useful for all the practitioners to increase employee job satisfaction by developing flexible and unique work from home practices. Accordingly, work from home could be used as a strong motivational strategy in the ICT industry as well as in other contexts.

2021 ◽  
Vol 2134 (1) ◽  
pp. 012012
Gcinizwe Dlamini ◽  
Artem Kruglov ◽  
Xavier Vasquez ◽  
Vyacheslav Pavlov

Abstract The recent trends in the ICT industry are related to the development and implementation of green software products and practices. The way to seek for energy efcient solutions starts from the proper and precise assessment of the current state of the system in hand. In this paper we present the software-based approach to the energy efciency assessment. We propose machine learning based approach to estimate energy consumed by a computer system. We evaluated our approach on datasets extracted from systems running on Linux and Windows operating system. Using MSE, MAE and R2 our energy consumption estimation model reached 0.0007, 0.0104, 0.9214, respectively.

Processes ◽  
2021 ◽  
Vol 9 (6) ◽  
pp. 1043
Junhwan Mun ◽  
Eungyeong Yun ◽  
Hangsok Choi

This study examined the relationship among carbon dioxide emissions and linkage effects using Input–Output (IO) data of the information and communications technology (ICT) industry between South Korea and the USA. As we wanted to find out if the ICT industry, which the world is passionate about, is a sustainable industry. The linkage effects are analyzed to determine the impact of ICT industry on the national economy, and CO₂ emissions of the industry are analyzed to determine how much influence it has on air pollution. In addition, we classify ICT industry by ICT service and manufacturing industries as the key industries in Korea and the US. Data were collected from OECD ranging from 2006 to 2015 in order to quantitatively estimate backward linkage, forward linkage effect, and carbon dioxide emissions. The results indicated that ICT manufacturing industry in Korea has high backward and forward linkage effects. CO₂ emissions from ICT service is more than from ICT manufacturing in both Korea and the US. We wanted to find out if the ICT industry, which the world is passionate about, is a sustainable industry. As a contribution, ICT manufacturing and service industries in Korea and the United States are directly compared, and CO₂ emissions over 10 years are analyzed in a time series.

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