8,053 research outputs found

    Selecting and Ranking IT Governance Practices for Electric Utilities

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    Although general literature and several frameworks suggest practices for IT Governance, there is still no consensus about which should be considered โ€œbestโ€ or โ€œessentialโ€. It seems reasonable to assume that recommendations of specific practices depend on factors such as the target industry, company profile, culture, and IT organization preferences. The literature on the subject for the electric utility industry seems particularly scanty. We have taken a first step in filling this gap by performing a literature review and then discussing our preliminary findings with top level IT executives from an electric utility in Europe and another in South America. We came up with a list of 83 practices that can be used to address distinct dimensions of IT Governance (leadership, structure, process, social, and relational mechanisms) and with a shorter list of 14 key practices classified into Essential, Important, and Good that are deemed the most relevant for electrical utilities

    IT Governance Practices for Electric Utilities: Insights from Brazil and Europe

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    We propose a framework of 14 IT governance practices tailored for the electric utilities sector. They were selected and ranked as "essential", "important", or "good" by top executives and IT staff from two multi-billion dollar companies - one in Brazil and another in Europe - from a generic set of 83 collected in the literature and in the field. Our framework addresses a need of electric utilities for which specific guidance was lacking. We have also uncovered a significant impact of social issues in IT governance, whose depth seems to be missing in the current research. As a byproduct of our work, the larger generic framework from which we have departed and the tailoring method that we have proposed can be used to customize the generic framework to different industries

    Towards evaluation design for smart city development

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    Smart city developments integrate digital, human, and physical systems in the built environment. With growing urbanization and widespread developments, identifying suitable evaluation methodologies is important. Case-study research across five UK cities - Birmingham, Bristol, Manchester, Milton Keynes and Peterborough - revealed that city evaluation approaches were principally project-focused with city-level evaluation plans at early stages. Key challenges centred on selecting suitable evaluation methodologies to evidence urban value and outcomes, addressing city authority requirements. Recommendations for evaluation design draw on urban studies and measurement frameworks, capitalizing on big data opportunities and developing appropriate, valid, credible integrative approaches across projects, programmes and city-level developments

    Sustainability Indexing and Benchmarking Framework for Oil and Gas Companies in Qatar: Review, Analysis, And Future Perspectives

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    The oil and gas sector has a major impact on sustainability dimensions characterized by environmental, economic, and social aspects. Because of this multidimensionality of sustainability objectives and the complexity involved in the industry practices, multi-criteria decision analysis techniques have become gradually more popular in decision making for sustainable businesses. The aim of this thesis is to develop a dedicated systematic and comprehensive framework for sustainability assessment of the oil and gas industry in Qatar, which covers the three pillars of sustainability. Five leading companies from the oil and gas sector in Qatar are selected to be the focus of this study. Procedures of selecting and quantifying the significant indicators, converting them into dimensionless values for rational benchmarking, weighting them according to their importance, and ranking the alternatives according to the aggregated scores are presented. Monte Carlo simulation and sensitivity analysis are conducted to investigate the effect of uncertainty and to ensure reliability as well as the robustness of aggregated scores

    The Critical Role of Public Charging Infrastructure

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    Editors: Peter Fox-Penner, PhD, Z. Justin Ren, PhD, David O. JermainA decade after the launch of the contemporary global electric vehicle (EV) market, most cities face a major challenge preparing for rising EV demand. Some cities, and the leaders who shape them, are meeting and even leading demand for EV infrastructure. This book aggregates deep, groundbreaking research in the areas of urban EV deployment for city managers, private developers, urban planners, and utilities who want to understand and lead change

    The Failure of Corporate Governance in State Owned Enterprises and the Need for Restructured Governance in Fully and Partially Privatized Enterprises: The Case of Kenya

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    This Article argues that the initiatives adopted in order to make parastatals more efficient are inadequate and will not realize the intended objectives unless the chief executives of parastatals are hired on a competitive basis, given more autonomy and the government is committed not only to designing performance contracts that set realistic standards, but also enforcing them strictly. It also contends that there is a need to streamline the multiple regulations that govern parastatals and reform the corporate regulatory framework of the private sector in order to raise standards of corporate governance and, as a result, ensure that the privatized services are managed prudently

    Exploring differences in social disclosures internationally: A stakeholder perspective

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    Country of origin is considered to be an important determinant of the level and type of corporate social disclosure. In this paper, we use stakeholder theory to explain differ- ences in social disclosure among countries. We argue that the manner in which the role of a corporation and its stakeholders is defined in a society will affect the extent and quality of corporate social disclosure (CSD) in annual reports. Our findings based on a content analysis of 1998 and 1999 annual reports for 32 Norwegian/Danish companies and 26 US companies in the electric power generation industry, lend support to the stakeholder explanation for observed international differences in CSD

    THE RELATIONSHIP BETWEEN ENVIRONMENTAL PERFORMANCE AND THE EXTENT OF ENVIRONMENTAL DISCLOSURE

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    This study examines the relationship between environmental performance and the extent of environmental disclosure. Sample of this study consists of thirty-five high profile companies. The environmental performance is measured based on the results of the PROPER assessment and the extent of environmental disclosure index by using GRI checklist items. This research applies content analysis, descriptive and inferential statistical analysis. The result shows that on average, the extent of environmental disclosure is low (22.5%). Mining companies provide highest environmental disclosure (58.2%) followed by chemicals (21.4%), utilities (19.0%), pulp and papers (16.5%), industrial (11.0%), and oil and gas (4.2%). The analysis also presents that environmental performance doesnโ€™t have effect on level of environmental disclosure. This result suggests that high environmental performance may not encourage companies to communicate more environmental issues. This finding indicates that motivation for company to disclose environmental information is not always based on the legitmacy perspectives but might be as accountability form

    Analysis of Policy Barriers to Universal Electricity Access Using AHP

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    ํ•™์œ„๋…ผ๋ฌธ (์„์‚ฌ)-- ์„œ์šธ๋Œ€ํ•™๊ต ๋Œ€ํ•™์› : ๊ณต๊ณผ๋Œ€ํ•™ ํ˜‘๋™๊ณผ์ • ๊ธฐ์ˆ ๊ฒฝ์˜ยท๊ฒฝ์ œยท์ •์ฑ…์ „๊ณต, 2019. 2. Heo, Eunnyeong.๊ตญ๋ฌธ ์ดˆ๋ก AHP๋ฅผ ์ด์šฉํ•œ ๋ณดํŽธ์  ์ „๋ ฅ ์ ‘๊ทผ์„ฑ ๋Œ€ํ•œ ์ •์ฑ…์  ์žฅ์• ์š”์ธ ๋ถ„์„ ์„œ์šธ๋Œ€ํ•™๊ต ๊ณต๊ณผ๋Œ€ํ•™ ๊ธฐ์ˆ ๊ฒฝ์˜๊ฒฝ์ œ์ •์ฑ…ํ˜‘๋™๊ณผ์ • ๋ฌดํˆฌ๋ฆฌ ํ•ด๋ฆฌ์Šจ ์ฝ”๊ฐœ ๋ณดํŽธ์  ์ „๋ ฅ ์ ‘๊ทผ์„ฑ์€ ์ •๋ถ€ ๊ทธ๋ฆฌ๊ณ  ์ •์ฑ… ์ž…์•ˆ์ž๋“ค์—๊ฒŒ ๋†’์€ ์ •์ฑ…์šฐ์„  ์ˆœ์œ„๊ฐ€ ์ฃผ์–ด์ง„๋‹ค. ํŠนํžˆ ์•„๋ž˜ ์‚ฌํ•˜๋ผ์‚ฌ๋ง‰ ์ด๋‚จ ์•„ํ”„๋ฆฌ์นด์—์„œ๋Š” ์ „๋ ฅ ์ ‘๊ทผ์„ฑ์ด ๋‚ฎ์•„, 11 ์–ต ์ธ๊ตฌ ์ค‘์— 80%๊ฐ€ ์ „๋ ฅ์ด ์—†๋Š” ๊ณณ์—์„œ ๊ฑฐ์ฃผํ•˜๊ณ  ์žˆ๋‹ค. ์ „๋ ฅ ์ ‘๊ทผ์„ฑ์€ ์ง€์†๊ฐ€๋Šฅํ•œ ๋ฐœ์ „์„ ์œ„ํ•œ 2030๋…„ ๋ชฉํ‘œ๋‹ฌ์„ฑ์„ ์œ„ํ•œ 169 ์˜์ œ๋“ค๊ณผ ๋ฐ€์ ‘ํ•˜๊ฒŒ ์—ฐ๊ด€๋˜์–ด ์žˆ๋‹ค. ์ด ๋ชฉํ‘œ์— ๋”ฐ๋ฅด๋ฉด ๋ชจ๋“  ๋‚˜๋ผ๋“ค์ด ๋ณดํŽธ์  ์ „๋ ฅ ์ ‘๊ทผ์„ฑ์„ 2030๋…„ ์•ˆ์— ๋‹ฌ์„ฑํ•˜๋Š” ๊ฒƒ์ด๋‹ค. ๊ทธ๋Ÿฌ๋‚˜, ํ˜„ํ–‰ ์ •์ฑ…๊ณผ ์ „๋žต์˜ ์‹คํ˜„์— ๋„ ๋ถˆ๊ตฌ, 2040๋…„์—๋Š” ์‚ฌํ•˜๋ผ์‚ฌ๋ง‰ ์ด๋‚จ ์•„ํ”„๋ฆฌ์นด ์ธ๊ตฌ ์ค‘์— 700๋ฐฑ๋งŒ ๋ช…์ด ์ „๊ธฐ๊ณต๊ธ‰์„ ๋ฐ›์ง€ ๋ชปํ•˜๋Š” ์ƒํ™ฉ์ด ๋ฒŒ์–ด์ง„๋‹ค. 2014๋…„ ์ผ€๋ƒ์—์„œ๋Š” Last Mile Connectivity Project (LMCP)๊ฐ€ ์ˆ˜๋ฆฝ๋˜์–ด, 2020๋…„์— ๋ณดํŽธ์ ์ธ ์ „๋ ฅ ์ ‘๊ทผ์„ฑ์„ ๋‹ฌ์„ฑํ•˜๋„๋ก ํ•˜์˜€๋‹ค. ๊ทธ๋™์•ˆ ํ”„๋กœ์ ํŠธ๋ฅผ ํ†ตํ•ด์„œ ์ „๋ ฅ ์ ‘๊ทผ์„ฑ์ด 4๋ฐฐ๋กœ ์ฆ๊ฐ€ํ•˜์˜€์ง€๋งˆ๋Š”, ์ˆ˜์š”์™€ ์†Œ๋น„์˜ ์ฆ๊ฐ€ ์†๋„ ์ €ํ•˜ ๋•Œ๋ฌธ์— ์ •์ฑ… ์ดํ–‰์˜ ๋ฌธ์ œ๊ฐ€ ์ง€์†์ ์œผ๋กœ ๋Œ€๋‘๋˜๊ณ  ์žˆ๋‹ค. ํ†ต๊ณ„๋ฅผ ๋ณด๋ฉด ์—ฌ์ „ํžˆ ๋ฐฑ๋งŒ ์ด์ƒ์˜ ์ธ๊ตฌ๊ฐ€ ์ „๋ ฅ๊ณต๊ธ‰์„ ๋ฐ›์ง€ ๋ชปํ•˜๊ณ  ์žˆ๋‹ค. ๋น„๋ก ์ „๋ ฅ ์ ‘๊ทผ์„ฑ์„ ๊ฐ–์ถ˜ ์‚ฌ๋žŒ๋“ค์ด๋ผ๋„ ์†Œ๋Ÿ‰์˜ ์ „๋ ฅ ๋ฐ–์— ๊ณต๊ธ‰๋ฐ›์ง€๋ชปํ•˜๊ณ  ์ „๋ ฅ ํ’ˆ์งˆ๊ณผ ๊ณต๊ธ‰์‹ ๋ขฐ๋„๊ฐ€ ๊ต‰์žฅํžˆ ๋‚ฎ๋‹ค. ์ „๋ ฅ๊ณ„ํ†ต ์—ฐ๊ณ„ ์„ค๋น„ ๋ถ€์กฑ๊ณผ ๋Š๋ฆฐ ์†๋„์˜ ์ „๋ ฅ์†Œ๋น„๊ฐ€ ๋ฏผ๊ฐ„๋ถ€๋ฌธ์˜ ํˆฌ์ž์œ ์น˜๋ฅผ ์ €ํ•ดํ•˜์˜€๋‹ค. ๋˜ํ•œ ์ •๋ถ€ ๋ฐ ๊ธฐ๋ถ€ ๋‹จ์ฒด์˜ ๋ณด์กฐ๊ธˆ์˜ ๋ถ€์กฑ์œผ๋กœ ๋ฏธ๋ž˜ LMCP ํ”„๋กœ์ ํŠธ์˜ ๊ณ„ํš๊ณผ ์ „๋ง์ด ๋ถˆํˆฌ๋ช…ํ•ด์ง€๊ณ  ์žˆ๋‹ค. ๋ณธ ์—ฐ๊ตฌ๋Š” ๋ณดํŽธ์ ์ธ ์ „๋ ฅ ์ ‘๊ทผ์„ฑ ๋ชฉํ‘œ๋ฅผ ์ €ํ•ดํ•˜๋Š” ์š”์ธ๋“ค๊ณผ ๋ถ€์ถ”๊ธฐ๋Š” ๊ฒฐ์ • ์š”์ธ๋“ค์„ ์ฐพ์•„๋ƒ„์œผ๋กœ์„œ LMCP ํ”„๋กœ์ ํŠธ๊ฐ€ ๊ณ„ํš๋Œ€๋กœ ์ถ”์ง„๋˜๋Š” ๊ฒƒ๋ฟ๋งŒ ์•„๋‹ˆ๋ผ, ์ „๋ ฅ์„œ๋น„์Šค์˜ ํ–ฅ์ƒ๊ณผ ์†Œ๋น„์ฆ๊ฐ€๋ฅผ ํ†ตํ•ด ์žฌ์ •์ ์œผ๋กœ๋„ ์ง€์†๊ฐ€๋Šฅํ•œ ๋ฐฉ๋ฒ•์œผ๋กœ LMCP ํ”„๋กœ์ ํŠธ๊ฐ€ ์ˆ˜ํ–‰๋˜๋„๋ก ํ•œ๋‹ค. ๋ณธ ์—ฐ๊ตฌ๋Š” ๋ถ„์„์ ๊ณ„์ธต๊ตฌ์กฐํ”„๋กœ์„ธ์Šค(Analytic Hierarchy Process: AHP)์˜ ๋‹ค๊ธฐ์ค€์˜์‚ฌ๊ฒฐ์ •๋ถ„์„(Multi-Criteria Decision Analysis: MCDMA)์„ ๋™์›ํ•˜์—ฌ, 4 ๊ฐ€์ง€ ์ฃผ์š” ๊ธฐ์ค€๋“ค๊ณผ 14๊ฐ€์ง€ ์š”์ธ๋“ค์„ ๊ด‘๋ฒ”์œ„ํ•œ ์—ฐ๊ตฌ ๋ฆฌ๋ทฐ์™€ ์ „๋ฌธ๊ฐ€ ๋ฆฌ๋ทฐ ํ†ตํ•ด์„œ ์ด๋ฃจ์–ด์กŒ๋‹ค. ๋ณธ ์—ฐ๊ตฌ๊ฒฐ๊ณผ๋ฅผ ํ†ตํ•ด ๊ฒฐ๋ก ์ ์œผ๋กœ 6 ๊ฐ€์ง€ ์ฃผ์š” ์š”์ธ์œผ๋กœ์„œ ๊ฒฝ์ œ์„ฑ/๊ฐ€๊ฒฉ์ ‘๊ทผ์„ฑ, ๋ถ€๋ฌธ๋ณ„ ๊ฑฐ๋ฒ„๋„Œ์Šค, ์ „๊ธฐ ์„œ๋น„์Šค ํ’ˆ์งˆ ๋“ฑ์ด ์ผ€๋ƒ์— ๋ณดํŽธ์ ์ธ ์ ‘๊ทผ์„ฑ ๋ชฉํ‘œ์˜ ๊ฒฐ์ •์ ์ธ ์š”์ธ๋“ค๋กœ ๋‚˜ํƒ€๋‚ฌ๋‹ค. ์ด์™€ ํ•จ๊ป˜ ๋‚ฎ์€ ์ƒ์‚ฐ์„ฑ, ์‚ฐ์—…๊ทœ๋ชจ์˜ ์†Œ๊ทœ๋ชจ, ๊ทธ๋ฆฌ๊ณ  ๋ณดํŽธ์  ์ ‘๊ทผ์„ฑ ๋ชฉํ‘œ์™€ ๊ธฐํƒ€ ์‚ฌํšŒ-๊ฒฝ์ œ ์ •์ฑ…๊ณผ์˜ ์—ฐ๊ด€์„ฑ ๋ฏธํก ๋“ฑ์ด ์ค‘์š”ํ•œ ์š”์ธ์œผ๋กœ ๋Œ€๋‘๋˜์—ˆ๋‹ค. ๋ณธ ์—ฐ๊ตฌ ๊ฒฐ๊ณผ๋Š” Last Mile Connectivity Project (LMCP)์˜ ์žฌ์„ค๊ณ„/๊ตฌ์ถ•์— ์ค‘์š”ํ•œ ์ •์ฑ…์  ์‹œ์‚ฌ์ ์„ ์ œ๊ณตํ•˜๊ณ  ๋ฏธ๋ž˜์˜ ์œ ์‚ฌํ•œ ๋ณดํŽธ์  ์ „๋ ฅ ์ ‘๊ทผ์„ฑ ํ™•๋Œ€ ์ •์ฑ…์—๋„ ๋„์›€์„ ์ค„ ๊ฒƒ์œผ๋กœ ๊ธฐ๋Œ€ํ•œ๋‹ค. ํ‚ค์›Œ๋“œ: (์ผ€๋ƒ, ๋ณดํŽธ์  ์ „๋ ฅ ์ ‘๊ทผ์„ฑ, Last Mile Connectivity Project, ๋‹ค๊ธฐ์ค€์˜์‚ฌ๊ฒฐ์ •๋ถ„์„, ๋ถ„์„์ ๊ณ„์ธต๊ตฌ์กฐํ”„๋กœ์„ธ์Šค)Universal access to modern energy, more so electricity, has become a key priority for governments and policymakers in countries with low electricity access rates especially in the sub-Saharan Africa, where around 80% of the 1.1 billion people without electricity are domiciled. Access to electricity is closely linked to a significant majority of the 169 targets of the 2030 Agenda for Sustainable Development and the world targets to attain them by achieving universal access to modern energy by 2030. However, at the current pace, the policies and strategies put in place have proved inadequate and unless urgent measures are taken, it is projected that over 700 million people in Sub-Saharan Africa will be without electricity in 2040. In Kenya, the Last Mile Connectivity Project (LMCP) was established in 2014 with the goal of attaining universal electricity access by 2020. While the project has seen connected households increase by fourfold, slow growth in demand and consumption has continuously plagued the policy implementation. Statistics show that millions of people still remain without access to electricity, including the under grid while those connected consume small units and suffer unstable, unreliable supply. The low demand of connections and consumption locked out inflow of private sector investments, and as the government and donor organizations run out of subsidies, plans for further extension of electricity to the last mile are now in jeopardy. This study endeavored to identify impediments to the universal access goals and the critical decision factors to not only ensure the extension of electricity services to the last mile, but also to ensure that through consumption of the electricity services, the beneficiaries climb up the energy access ladder in a manner that justifies a financially sustainable extension of electricity services to the last mile. The study appraised the universal access policies as previously employed against the UNCTADs paradigm of transformational electricity access. The study applied the Analytic Hierarchy Process (AHP) as a multi-criteria decision making analysis (MCDMA) to evaluate between four (4) main criteria and fourteen (14) factors identified from an extensive literature review and subjected to expert review. Our results led to the conclusion that six major factors revolving around affordability, sectoral governance, and quality of electricity services as critical to the attainment of universal access goals in Kenya. Low productive uses and little industry as well as lack of linkages between universal access goals and other social-economic policies was deemed to be uniquely important, and closely linked to the transformational access paradigm. The study results gives important implications for the redesign of the LMCP and future similar universal electrification policies. Keywords: (Transformational access, Universal access, Multi-criteria Decision Analysis, Analytic Hierarchy Process, Kenya.)Table of Contents Abstract i List of Tables vii List of Figures ix LIST OF ACRONYMS xi Chapter 1. Introduction 1 1.1 Research Background 1 1.2 Research Motivation & Problem Definition 2 1.3 Research Questions 5 1.4 Research Objective 6 1.5 Literature Survey 7 1.6 Methodology 8 1.7 Research Outline 9 Chapter 2. Research Background 12 2.1 Context of the Area of Study 12 2.2 The structure of the Power Sector 13 2.3 Key Energy Policies & Strategies 18 2.3.1 Kenya Vision 2030 20 2.3.2 Sessional Paper No. 4 of 2004 21 2.3.3 Energy Act No.12 of 2006 21 2.3.4 Draft Energy Policy and Bill 2017 22 2.3.5 Least Cost Power Development Plans (LCPDPs) 22 2.3.6 Rural Electrification Masterplan 23 2.3.7 Feed-in Tariff (FIT) Policy 23 2.4 Electricity Demand, Supply and Consumption Patterns 24 2.4.1 Demand 24 2.4.2 Generation and Supply 26 2.4.3 Consumption 28 2.4.4 Regional Electrification and Consumption 31 2.4.5 Suppressed Demand 34 2.4.6 Technical & Commercial Losses 36 2.5 The Universal Electricity Access Strategy: The Last Mile Connectivity Project 37 2.6 Energy Resources for Current and Future Demand 43 2.6.1 Fossil Energy Sources 43 2.6.2 Renewable Energy Sources 45 2.6.3 Other energy Sources 50 Chapter 3. Literature Review 52 3.1 Existing Studies on Universal Electricity Access 52 3.2 Multi Criteria Decision Analysis as a Method 64 3.2.1 AHP Application in Previous Energy Studies 73 Chapter 4. Research Methodology 76 4.1 The Analytic Hierarchy Process (AHP) 76 4.2 AHP Criteria Selection 78 4.2.1 Policy and institutional 82 4.2.2 Economic and Financial 82 4.2.3 Technical 83 4.2.4 Environmental and Socio-Political 84 4.3 Quantitative Analysis and Pairwise Comparisons 87 4.4 Research Data and Quantitative Analysis 93 4.4.1 Research Data 93 4.4.2 Quantitative Analysis 95 Chapter 5. Results and Discussion 102 5.1 Results of Empirical Analysis 103 5.1.1 Weights and Ranking of the Criteria 103 5.1.2 Estimated Weights of the Sub-Criteria (Factors) 104 5.1.3 Results of Global Priorities 110 5.2 Results Discussion 114 5.2.1 Discussion of Local Priorities 114 5.2.2 Discussion of Global Priorities 122 5.2.3 Comparative Analysis 129 5.2.4 Summary of Results Discussion 134 Chapter 6. Conclusion and Implications 136 6.1 Overall conclusion 136 6.2 Policy and Academic Implications 141 6.3 Research Contributions 142 6.4 Study Limitation and Future Studies 143 Bibliography 145 ์ดˆ๋ก 157Maste
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