Papers by Jeffrey Ofosu-Adarkwa
IEEE Access, 2021
Higher education confers numerous benefits both to the individual and to society, including highe... more Higher education confers numerous benefits both to the individual and to society, including higher earnings, lower rates of unemployment and government dependency, an increased tax base, and greater civic engagement. Access to higher education remains a challenge for many families. The emergence of Industry 4.0 will not only affect technological changes but also people in the labour market. As such, higher education institutions with academic responsibilities of formally training students to better adapt to such changes are not left out. Since the introduction of the Master of Business Administration (MBA) in the United States of America in 1908 and over one hundred years of history, this prestigious programme has suffered a rapid decline in enrolments worldwide. Thus, it has gradually lost its value under the current industrial revolution. This paper evaluates and prioritizes barriers affecting the decline in international MBA enrolments. Understanding the key barriers to MBA enrolments regarding the dynamics will contribute to the successful implementation of those barriers. With scarce information, this study innovatively applies the grey incidence analysis (GIA) method to prioritizing the identified barriers. When applied, this method provided a robust prediction of results. For international MBA enrolments decline, the barrier ''employment difficulties'' (H3) should receive much attention from policymakers because it scored the highest among the barriers ranked. Further, other important barriers that should be considered are ''lack of entrepreneurship skills'' (H11), ''high cost'' (H10), ''longer payback duration'' (H1), ''10 yr. ROI'' (H9), and ''lack of data analytic skills'' (H7). Therefore, during the formulation and implementation of policy to address these prioritized barriers, scarce resources must be committed to them. This paper also contributes to the literature a first-hand, formal study on the prioritization of barriers to international MBA enrolments. INDEX TERMS Grey incidence analysis, higher education, MBA enrolment, MBA barriers prioritization. I. INTRODUCTION Research has shown that the inception of the Fourth Industrial Revolution (Industry 4.0), which is characterized by the internet of things (IoT), internet of service, cyber-physical systems, big data, smart systems and analytics, artificial intelligence (AI), and robotics and cloud manufacturing, has had an unprecedented global impact across all industries [1]. Unlike the previous three industrial revolutions (Industry 1.0, Industry 2.0, and Industry 3.0) [2], although the synergistic The associate editor coordinating the review of this manuscript and approving it for publication was Dongxiao Yu .
Renewable & Sustainable Energy Reviews, Sep 1, 2020
The cement industry is a significant contributor to anthropogenic CO 2. For China, the cement ind... more The cement industry is a significant contributor to anthropogenic CO 2. For China, the cement industry is crucial for development, considering the surging urbanization. CO 2 emissions from the industry are detrimental to the planet, its ecosystem, and inhabitants. Forecasting of the emissions is a critical step in the emissions' mitigation strategies, and to achieve sustainable development. However, the level of uncertainty accompanying CO 2 estimates leads to discrepancies in predictions. The current work aims to study the estimation of cement industry CO 2 emissions from an uncertainty-driven technical perspective, and present a forecast for the Chinese cement industry emissions using a novel grey prediction model. By modeling the framework of China's cement industry and the CO 2 emissions estimation techniques as grey systems with partially known information, this study develops an interval grey number-based approach to calculate the relative uncertainty. A grey sequence is generated from the whitenization of the interval grey numbers to represent annual emissions from different sources. The proposed approach is more flexible than the conventional midpoint estimate-based approach recommended by JCGM. The proposed model, V-GM(1,N), is found to give the highest accuracy of 97.29% in simulating the actual cement industry CO 2 emissions data from 2005 to 2018. Comparative analysis of the proposed model with other forecasting models revealed the superiority of the model. The proposed framework, involving the forecasting model and uncertainty analysis approach, is likely to facilitate the decision-makers in making realistic and reliable forecasts at reasonable computational costs.
IEEE Access
Higher education confers numerous benefits both to the individual and to society, including highe... more Higher education confers numerous benefits both to the individual and to society, including higher earnings, lower rates of unemployment and government dependency, an increased tax base, and greater civic engagement. Access to higher education remains a challenge for many families. The emergence of Industry 4.0 will not only affect technological changes but also people in the labour market. As such, higher education institutions with academic responsibilities of formally training students to better adapt to such changes are not left out. Since the introduction of the Master of Business Administration (MBA) in the United States of America in 1908 and over one hundred years of history, this prestigious programme has suffered a rapid decline in enrolments worldwide. Thus, it has gradually lost its value under the current industrial revolution. This paper evaluates and prioritizes barriers affecting the decline in international MBA enrolments. Understanding the key barriers to MBA enrolments regarding the dynamics will contribute to the successful implementation of those barriers. With scarce information, this study innovatively applies the grey incidence analysis (GIA) method to prioritizing the identified barriers. When applied, this method provided a robust prediction of results. For international MBA enrolments decline, the barrier ''employment difficulties'' (H3) should receive much attention from policymakers because it scored the highest among the barriers ranked. Further, other important barriers that should be considered are ''lack of entrepreneurship skills'' (H11), ''high cost'' (H10), ''longer payback duration'' (H1), ''10 yr. ROI'' (H9), and ''lack of data analytic skills'' (H7). Therefore, during the formulation and implementation of policy to address these prioritized barriers, scarce resources must be committed to them. This paper also contributes to the literature a first-hand, formal study on the prioritization of barriers to international MBA enrolments. INDEX TERMS Grey incidence analysis, higher education, MBA enrolment, MBA barriers prioritization. I. INTRODUCTION Research has shown that the inception of the Fourth Industrial Revolution (Industry 4.0), which is characterized by the internet of things (IoT), internet of service, cyber-physical systems, big data, smart systems and analytics, artificial intelligence (AI), and robotics and cloud manufacturing, has had an unprecedented global impact across all industries [1]. Unlike the previous three industrial revolutions (Industry 1.0, Industry 2.0, and Industry 3.0) [2], although the synergistic The associate editor coordinating the review of this manuscript and approving it for publication was Dongxiao Yu .
The International Journal of Engineering and Science
Ocean Thermal Energy Conversion (OTEC) is a technology by which thermal energy from the ocean is ... more Ocean Thermal Energy Conversion (OTEC) is a technology by which thermal energy from the ocean is harnessed and converted into electricity. It is one of the renewable energy technologies being researched into, as part of solutions to the challenge of global warming and climate change. A major setback of this technology, however, is that it has a very low cycle efficiency. In this work a cogeneration cycle is proposed which is driven by the temperature difference between the warm surface layer and the cold bottom layer of the ocean. The work is aimed at improving the overall cycle efficiency of OTEC systems by reducing the depth at which cold water is captured from the ocean. To achieve this, the cycle employs a binary mixture of ammonia and water as the working fluid and uses the mechanism of absorption to obtain the liquid phase of the working fluid after expansion through the turbine. The effects of varying cycle parameters such as the depth of cold-water capture, heat source temperature and mixture composition of the working fluid were investigated. With a basic solution mixture concentration of 0.40 kg/kg NH 3 /H 2 O, and under operating conditions of 30 o C as the warm surface water temperature and a cold water temperature of 10 o C, captured at a depth of 600m the proposed cycle produced a net power output of 42 kW, and a refrigeration capacity of 370 kW. The thermal efficiency computed was 1.94% and the exergy efficiency was 13.78%, both higher than the case where the depth of cold water capture was 1000m.
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Papers by Jeffrey Ofosu-Adarkwa