Energy Decision Making: Problems, Methods, and Tools—An Overview

The main goal of the study is to assess the decision criteria and the determining factors for the sustainability of entrepreneurial startups in order to contribute towards social inclusion and capacity building. Both concepts are in the development phase and are the outcome of entrepreneurial ecosystem and individual behavior and traits. The current study observed the research problem as entrepreneurship and entrepreneurial startups are the continuous phenomena required for every economy. The lack of an efficient ecosystem and incompetent trait of an entrepreneur brings the entrepreneurial startup to failure. Therefore, an assessment of decision criteria and determining factors categorizing them by their importance may provide the requirements to lead to a successful entrepreneurial startup, contributing to social inclusion and capacity building. The study solved the research problem by statistical assessment of decision criteria and determining factors and categorizing them by their importance may provide the requirements to lead to a successful entrepreneurial startup. The research is built on research questions, objectives, a conceptual model, and a hypothesis, which are tested based on the data collected. The collection of data was done through a survey questionnaire on a sample of established entrepreneurs. The study concludes that the five components of decision criteria are region, competition, funding opportunities, tax system, and country economic situation, whereas eight determining factors, consciousness and reliability, pursuit of results, flexibility, stress resistance, skills of identification and exploitation of potential market opportunities, leadership, creativity and innovation, and delegation of decision-making, are required for a successful entrepreneurial startup to be able to work towards social inclusion and capacity building.

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“…The third phase is the reporting of the study. Eighteen months were devoted to this complete process of all three phases [91][92][93].…”

Section: Methodological Approachmentioning

confidence: 99%

Validation of Decision Criteria and Determining Factors Importance in Advocating for Sustainability of Entrepreneurial Startups towards Social Inclusion and Capacity Building

Korpysa

Singh

2023

Sustainability

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“…There can be future scope by considering various other demographic variables that can be tested statistically, both for the Indian context as well as across the world. It is also true that the degree or extent of impact in a quantitative sense also can be further investigated in different scenarios and societies [84]. The present study can be taken as groundwork in the field and several other hypotheses and methodological approaches can be implemented for further such studies.…”

Section: Limitations and Future Studymentioning

confidence: 97%

Sustainability in a Digitized Era Analyzing the Moderation Effect of Social Strata and Digital Capital Dependence on Digital Divide

Singh

Nermend

2022

Sustainability

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Although we have evolved digitally and technologically in the 21st century, disparities still exist in society. The research problem cited for the study is the need to assess the impact of the digital divide in the formation of digital capital, where the already stratified society based on variables such as age, gender, education, and region (rural–urban) will act as moderators to mitigate the digital inequalities for a sustainable world. The research objectives are to explore the underpinning reasons for the digital divide in reinforcing social inequalities, quantify the impact of the digital divide on digital capital statistically, and to evaluate the moderating effect of social strata variables comparatively. The idea of digital capital culminates into five hypotheses for this study as the digital divide impacts digital capital, as well as the assessment of moderating effects of age, education, and region. Statistical tools, specifically frequency, percentage, reliability, ANOVA, correlation, and regression, have been used to test the hypothesis and proposed conceptual model. The social strata dimension in the study revealed a higher variance of opinion. Digital capital is taken as the dependent variable and the digital divide is the independent variable, which shows Beta as 0.591 and B as 0.585, indicating a good relationship of 59.1% and an effect of 58.5%. Finally, the research reveals that there exists a digital divide and, hence, digital inequalities in India need to be addressed for attaining various Sustainable Development Goals. The study has significant implications for the leaders and policymakers to work towards inclusivity by bridging the digital divide and eliminating digital inequalities in India.

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“…EVs can communicate between each other and also charging stations, and create the Internet of Vehicles (IoV) [33,34]. There are also different law regulations and economic and social factors worldwide [35,36], which influence electromobility popularity expressed as the growing number of electric car users [37,38]. The existing literature reviews [39,40] suggest that there is still a research gap related to the technical dimensions [41,42] of electromobility development [43,44].…”

Section: Introductionmentioning

confidence: 99%

Charging Stations and Electromobility Development: A Cross-Country Comparative Analysis

2022

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The Industry 4.0 idea influences the development of both charging stations and electromobility development, due to its emphasis on device communication, cooperation, and proximity. Therefore, in electromobility development, growing attention is paid to chargers’ infrastructure density and automotive electric vehicles’ accessibility. The main goal of this scientific paper was to present the electromobility development represented in the number of charging stations and its infrastructure development calculations. In this study, the sequence of methods was used to indicate and explore the research gap. The first was the Structured Literature Review (SLR) variation method. The second method was the classical tabular comparison of gathered results. The third research method was a cluster analysis based on secondary data with cross-country comparisons of the number of charging stations and electric cars. Therefore, this paper presents a theoretical discussion and practical business implications based on the achieved results of clusters and rankings. The main finding of this paper is that charging stations play a pivotal role in electromobility development in countries with already developed road infrastructure and maritime transportation. The charging stations can support energetic infrastructure, especially in countries with vast geographical distances. The charging stations and electric vehicles statistics presented in ratios and ranks proved similarities in the electromobility development patterns in the analyzed countries. This paper also presents the limitations of the performed study and identifies possible future research avenues.

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Energy Decision Making: Problems, Methods, and Tools—An Overview

Abstract: Making decisions concerning the use of energy sources is a very difficult and complicated task [...]

Cited by 5 publications

References 25 publications

Validation of Decision Criteria and Determining Factors Importance in Advocating for Sustainability of Entrepreneurial Startups towards Social Inclusion and Capacity Building

Validation of Decision Criteria and Determining Factors Importance in Advocating for Sustainability of Entrepreneurial Startups towards Social Inclusion and Capacity Building

Sustainability in a Digitized Era Analyzing the Moderation Effect of Social Strata and Digital Capital Dependence on Digital Divide

Charging Stations and Electromobility Development: A Cross-Country Comparative Analysis

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