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on Information and Communication Technologies |
| By: | Zafar, Muhammad Wasif; Zaidi, Syed Anees Haider; Mansoor, Sadia; Sinha, Avik; Qin, Quande |
| Abstract: | Rising environmental concerns due to extensive energy consumption and carbon emission in the process of developing information communication and technology (ICT) cannot be overshadowed by its significant contribution in economic growth. This study is an attempt to explore long run influences of ICT and education on environmental quality. By incorporating the role of financial development, energy consumption and income into the function of carbon emissions, the results obtained by the continuously updated and fully modified (Cup-FM) test indicate that economic growth, education and energy consumption stimulates carbon emissions intensity in Asian countries (1990-2018). The second-generation unit root tests and Lagrange Multiplier (LM) bootstrap cointegration method investigate stationary properties and cointegration. Our findings suggest that investment in technology and financial markets require policymakers' attention as we have empirically established long-run inverse impacts of financial development and ICT on carbon emissions. Furthermore, the study suggests a focus on clean energy policy as the rising pollution levels due to fossil fuel hampers long-run productivity. This paper contributes to the existing literature by proposing that ICT-led economic policies may help solve environmental quality and economic growth issues. |
| Keywords: | Environmental Quality; ICT; Education; Financial development; Economic growth |
| JEL: | Q5 |
| Date: | 2022 |
| URL: | http://d.repec.org/n?u=RePEc:pra:mprapa:111920&r= |
| By: | Jaukovic Jocic, Kristina; Jocic, Goran; Darjan, Darjan; Popovic, Gabrijela; Stanujkic, Dragisa; Kazimieras Zavadskas, Edmundas; Nguyen, Phong Thanh |
| Abstract: | The development of information and communication technologies has revolutionized and changed the way we do business in various areas. The field of education did not remain immune to the mentioned changes; there was a gradual integration of the educational process and the mentioned technologies. As a result, platforms for distance learning, as well as the organization of e-learning courses of various types, have been developed. The rapid development of e-learning courses has led to the problem of e-learning course selection and evaluation. The problem of the e-learning course selection can be successfully solved by using multiple-criteria decision-making (MCDM) methods. Therefore, the aim of the paper is to propose an integrated approach based on the MCDM methods and symmetry principles for e-learning course selection. The pivot pairwise relative criteria importance assessment (PIPRECIA) method is used for determining the weights of criteria, and the interval-valued triangular fuzzy additive ratio assessment (ARAS) method is used for the ranking of alternatives i.e., e-learning courses. The suitability of the proposed integrated model is demonstrated through a numerical case study. |
| Keywords: | ARAS, interval-valued triangular fuzzy numbers, e-learning courses, MCDM |
| JEL: | C44 C6 D7 D81 I23 |
| Date: | 2020–05–14 |
| URL: | http://d.repec.org/n?u=RePEc:pra:mprapa:112009&r= |
| By: | Mohammadi, Mohammad Ali |
| Abstract: | In this work, the dynamic competition between firms providing internet services is studied. The framework is Markov equilibrium whereby structural parameters are obtained using two-step estimations, allowing for analyzing the situation in case of subsidies for service upgrade. The results show that such subsidy has little effect on the number of firms while increasing the number of fast firms. |
| Keywords: | Structural estimation, dynamic competition, Markov perfect equilibrium, investment in Internet provision, subsidies |
| JEL: | C73 L13 L50 L86 |
| Date: | 2021–07–31 |
| URL: | http://d.repec.org/n?u=RePEc:pra:mprapa:111962&r= |
| By: | Ghorashi Khalilabadi, S. M.; Roy, D.; de Koster, M.B.M. |
| Abstract: | The facility layout problem (FLP) is the problem of determining non-overlapping positions of departments on the shop floor to minimize material handling costs. Traditional methods for solving FLPs consider pairwise (from-to) flows to optimize layouts. This paper shows that these traditional methods underestimate the total travel distance of a layout, when departments have more than a single input/output point and some flows consist of visits to more than two de- partments. To accurately calculate the traveled distances, the actual routes of the workers and transporters (so-called connected movements) in the system need to be determined. The con- nected movements of the workers in a facility can now be captured using the Internet of Things network and stored in the cloud server for analysis. We propose a mixed-integer non-linear programming model for the FLP that minimizes the total travel distance using these connected movements as the input data. Because of the complexity of the problem, a biased random key genetic algorithm is used to find the layout. To ensure the validity of the method, a case study is carried out at a fertilizer production company that implemented an Internet of Things network to capture worker movement data to minimize worker productivity loss via an improved layout. By using these connected movements, the best layout for the case company is found. The results of the proposed data-driven optimization method indicate that leveraging connected movements can reduce the total travel distance by 10.6% compared to the best possible layout generated by the traditional pairwise method in the case study. |
| Keywords: | Facility layout problem, Data-driven optimization, Connected movements, Sequence, Internet of Things, IoT |
| Date: | 2022–03–23 |
| URL: | http://d.repec.org/n?u=RePEc:ems:eureri:137111&r= |