Energy, Sustainability, and Third Industrial Revolution

2020 ◽  
pp. 153-174
Author(s):  
Ramprasad Sengupta
Keyword(s):  
Carbon Footprint ◽  
Industrial Revolution ◽  
Energy Sector ◽  
Climate Control ◽  
Environmentally Sustainable ◽  
Energy Scenario ◽  
Different Dimensions ◽  
The Difference ◽  
Power And Energy ◽  
Third Industrial Revolution

While the chapters of Part I have discussed at length the conceptual issues of the different dimensions of sustainability, Part II focuses on the same issues as arising in the context of the power and energy sector development in India. Chapter 6 describes the energy scenario of India including its carbon footprint in the background of macroeconomic setting of growth with cross-country comparison. It focuses on the issues of energy security, energy poverty and distribution, as well as carbon footprint and challenges of both socially and environmentally sustainable development of the power and energy sector of India. In this context it points out the difference in perspectives of the developed and the developing countries with respect to the relation between inclusive economic growth and climate control. It argues for possible complementarities in policies for the two in the perspective of the Third Industrial Revolution based on new renewables.

Industry 4.0: The Importance Factors of Innovation in Adopting Cloud Computing Among SMES in Malaysia

2020 ◽  
Vol 11 (1) ◽  
pp. 84-84
Author(s):  
Siti Salwa Sheikh Mokhtar ◽  
Anuar Shah Bali Mahomed ◽  
Yuhanis Abdul Aziz ◽  
Suhaimi Ab. Rahman
Keyword(s):  
Cloud Computing ◽  
Technology Acceptance ◽  
Industry 4.0 ◽  
Structural Equation ◽  
Industrial Revolution ◽  
Equation Model ◽  
Computing Industry ◽  
Global Economic Growth ◽  
Acceptance Model ◽  
Third Industrial Revolution

Small and medium-sized enterprises (SMEs) are commonly perceived as an essential part of boosting and stabilizing global economic growth. In 2018, SMEs recorded a 38.3% contribution to GDP of RM521.7 billion compared to RM491.2 billion in 2017. SMEs are expected to contribute 50% to Malaysia's GDP by 2030 relative to its present 38% contribution. However, in the context of Malaysia businesses, particularly small and medium-sized enterprises, are still not embracing the latest technology revolution sufficiently, as reported by the Ministry of International Trade and Industry (2018). Malaysia is currently in the third industrial revolution (automation), and some are still under the second industrial revolution. Such matter is worrying as only a few industries in Malaysia can adopt pillars of Industry 4.0, where business owners in Malaysia were still hesitant to embrace technologies such as the cloud. To bridge the gap in this analysis, this research adopted the technology acceptance model developed by Davis (1989) and Rogers' Diffusion Innovation Theory (1995), which incorporates the contexts of technology and innovation among SMEs in Malaysia. By using survey questionnaires, data was collected among manufacturing and services SMEs in Malaysia. Structural equation model employed to assess the important factors of innovation in adopting cloud computing among SMEs in Malaysia by using Smart-PLS. Keywords: Cloud computing, Industry 4.0, Innovation, Technological

scholarly journals The Pandemic and Changes in the Self-Perception of Teacher Digital Competences of Infant Grade Students: A Cross Sectional Study

2021 ◽  
Vol 18 (9) ◽  
pp. 4756
Author(s):  
Rosalía Romero-Tena ◽  
Carmen Llorente-Cejudo ◽  
María Puig-Gutiérrez ◽  
Raquel Barragán-Sánchez
Keyword(s):  
Intervention Group ◽  
Cross Sectional Study ◽  
Self Perception ◽  
Digital Competence ◽  
Cross Sectional ◽  
Self Perceptions ◽  
Group A ◽  
Different Dimensions ◽  
The Difference ◽  
Group B

Without having a reaction time, the pandemic has caused an unprecedented transformation in universities around the world, leading to a revolution from structured models anchored in the conception of transmission of training towards a teaching approach-learning saved thanks to the incorporation of technology. This study aims to verify whether the pandemic situation has influenced the digital competence self-perception of students. Comparing two groups during the academic years 2019/2020 and 2020/2021, the instrument used is the questionnaire for digital competence “DigCompEdu Check-In” for future teachers. After the educational intervention, group A (before COVID-19) presented higher self-perceptions of competence than group B (during COVID-19); the pandemic situation caused by COVID-19 has negatively influenced students’ self-perception of their digital skills in the pretest in the different dimensions under study. Before receiving the training, the group that did not experience the pandemic enjoyed a higher self-perception of their competencies than the group that experienced the pandemic. The data obtained indicate that the difference exists, and that it is statistically significant, and may be a consequence of the clear relationship between self-perception and the way in which students face reality through their personal and subjective vision.

scholarly journals Carbon footprint estimate in the primary wood processing industry in El Salto, Durango

2020 ◽  
Vol 27 (1) ◽  
pp. 127-142
Author(s):  
Pedro Meza-López ◽  
◽  
Mayra K. Trujillo-Delgado ◽  
Alan U. Burciaga-Álvarez ◽  
Ricardo de la Cruz-Carrera ◽  
...  
Keyword(s):  
Carbon Footprint ◽  
Ghg Emissions ◽  
Electricity Consumption ◽  
Wilcoxon Test ◽  
Organizational Boundaries ◽  
Activity Data ◽  
Processing Industry ◽  
Wood Processing ◽  
The Difference ◽  
L1 And L2

Introduction: The primary wood processing industry releases greenhouse gases (GHGs); their mitigation involves measuring the carbon footprint.Objective: To estimate the carbon footprint of two forestry companies dedicated to the primary transformation of wood.Materials and methods: Companies established as organizational boundaries L1 and L2 have two (Q1 and Q2) and one (D) sawmill, respectively. The operational limits were A1 (direct emissions from fossil fuel consumption), A2 (indirect emissions from electricity consumption) and A3 (emission sources not owned by L1 and L2). GHG emissions were calculated in two annuities with the method of using documented activity data and emission factors level 1. The annuities were compared with the Student’ t-test and Wilcoxon test, and the sawmills with the Kruskal-Wallis test.Results and discussion: The estimated carbon footprint for L1 was 480.06 tCO2e·year-1, where A1, A2 and A3 represented 29.32 %, 14.59 % and 56.09 %, respectively. L2 had a footprint of 230.56 tCO2e·year-1 of which 9.39 %, 11.78 % and 78.83 % corresponded to the categories A1, A2 and A3, respectively. The cumulative uncertainty was within a fair range of accuracy (±25 %). Only the direct GHG emissions between L1 annuities were statistically different (P < 0.05). Mechanical technology made the difference in GHG emissions among sawmills (P < 0.05).Conclusions: The carbon footprint is inherent to the energy used; energy management ensures the mitigation of GHG emissions.

scholarly journals Identification of factors affecting competitive tension in the domestic air transport market in Turkey

2020 ◽  
Vol 56 (2) ◽  
pp. 118-139
Author(s):  
Mehmet Yasar ◽  
Ender Gerede
Keyword(s):  
Market Concentration ◽  
Air Transport ◽  
Competitive Market ◽  
Regression Analyses ◽  
Factors Affecting ◽  
Upper Limit ◽  
Competitor Analysis ◽  
Competitive Action ◽  
Different Dimensions ◽  
The Difference

AbstractCompetitive tension refers to pressure that is considered to exist among firms operating in a competitive market and that forces them to take competitive action against each other. An imaginary upper limit of competitive tension symbolizes the difference between whether to take competitive action or not. The antecedents of competitive tension are examined in this study. Within this scope, market commonality and resource similarity are the variables studied as components of competitor analysis; market concentration that provides clues for the competitive structure of competed markets; and finally, competitive asymmetry, presuming that the competition among the companies is not equal and rivals do not consider each other at the same level as competing firms, were taken as primary variables of competitive tension. In order to test whether these variables have an effect on competitive tension among airlines, airlines operating in the domestic air transport market in Turkey were examined in this study. The perceived competitive tension that was detected as a result of regression analyses was studied on three different dimensions, namely, internal tension, external tension, and total tension, and each dimension was analyzed as a different model. The findings of the study revealed that market commonality and market concentration have a significant effect on competitive tension. These effects were found to be positive for market commonality and negative for market concentration. Resource similarity and competitive asymmetry were found to have no significant effect.

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