500 research outputs found
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A Multi-Stage Fuzzy Model for Assessing Applicants for Faculty Positions in Universities
No full textAssessing applicants for faculty positions in universities involves many issues. Each issue may involve a judgment based on uncertain or imprecise data. The uncertainty in data may exist in the interpretation made by the evaluator. This issue might lead to improper decision making. Modeling such a system using fuzzy logic will provide a more efficient model for handling imprecision. This article presents a fuzzy system for modeling the assessment of applicants for employment at academic universities. This system will utilize a multi-stage fuzzy model for measuring and evaluating the applicants. Utilizing fuzzy logic for applicants' evaluation will help administrators in choosing the best candidates for faculty positions. The fuzzy system was developed using jFuzzyLogic Java library. The reliability of the proposed system was proved by evaluating real-world case studies to prove its effectiveness to mimic human judgment. Moreover, the developed system has been evaluated by comparing it with a traditional mathematical method to prove the credibility and fairness of the proposed fuzzy system
Taking Responsibility for the Future: A Case Study of a State-Run Program to Train K–12 Online Teach
No full textAlthough K–12 online education is becoming more common in the United States, there is still much we do not know about how K–12 online teachers are being prepared. Given that few teacher education programs include online pedagogy in their teacher training efforts, it becomes incumbent on states to find alternative ways to prepare teachers for virtual instruction. This chapter analyzes a nine-week orientation session that is part of an established, state-run induction program for prospective K–12 online instructors. Although the findings are specific to the program being studied, the authors believe they can serve as a model for educators in other states wishing to develop similar types of induction programs to meet the rising demand for K–12 online instruction in the United States
Modeling the Role of Government, Firm, and Civil Society for Environmental Sustainability
No full textThe objective of this article is to design a game theory-based model to outline the role of the government, firm and civil society for environmental sustainability. The study used the dynamic game theory of complete information. Based upon the equilibrium analysis, the study highlights that when the punishment for non-compliance with environmental responsibility is smaller, the role of civil society would be higher for environmental sustainability. On the other hand, when the environmental responsibility cost is higher, then the role of a government is also higher for the implementation of environmental responsibility and to ensure the punishment. However, the authors found from model analysis that if the cost is low, the probability of firm to fulfill environmental responsibility is higher. In real life, the high cost of environmental responsibility is the main reason that the firm does not fulfill environmental responsibility. Under the high cost, the firm often has the phenomenon of bribery to the government and other means to avoid environmental responsibility. This article is a valuable policy guide for policy makers to cope with global environmental challenges
Do Hotel Responses Matter?: A Comprehensive Perspective on Investigating Online Reviews
No full textThis article aims to examine how hotel responses to online reviews influence how potential consumers perceived the helpfulness of the online reviews. Response length and voice were employed to measure the hotel's response quality. 637 reviews with responses were used for empirical analysis. The study identified three different types of response voices: disputed voice, professional voice, and empathetic voice. The results show that both response length and response voice have significant effects on the helpfulness perceived by potential consumers. Moreover, they also have some interaction effects with star ratings, review length, and review image. This study suggests that hotels should strategically respond to both positive and negative online reviews so as to both create a positive interaction atmosphere and resolve consumer complaints. The findings of this study can, to some extent, help manage word of mouth reputations
The Environmental Pollution Effects of Industrial Agglomeration: A Spatial Econometric Analysis Based on Chinese City Data
No full textTo analyze the environmental pollution effects elicited by industrial agglomeration, a spatial econometric model is constructed based on the Green Solow model. Using data derived from 285 Chinese cities between 2003and 2014, the global Moran'I and local bivariate LISA agglomeration map demonstrates that there is significant correlation between industrial agglomeration and industrial pollution discharge. Then, the spatial Durbin model (SDM) is built and the empirical results are as follows. First, inter-city industrial pollution discharge has a demonstration effect. Cites in the same region should take measures to cooperate to lower industrial pollution discharge. Second, the relationship between the local cities' industrial agglomeration and the local cities' industrial pollution discharge fits the inverted “U” curve. While the neighboring cities' industrial agglomeration will decrease the local cities' industrial pollution discharge. So, measures should be taken to increase the industrial agglomeration degree in the long run
The Key Research and Application in Grid Planning Using Improved Genetic Algorithm
No full textIn order to guarantee the power grid operation under the premise of reliability and stability, acquire relative economic investment and operating cost, and adaptable to all kinds of change flexibly, this article improves the traditional generic algorithm by considering the various objective function and constraint condition. The improved algorithm can search and optimize according to mechanism for the survival of the fittest. It is especially suited for the optimization solution of integer variables. The application of the algorithm proposed to fifteen nodes system of a certain city and comparative experiments show that the algorithm has fast convergence speed and optimizing result. A comparative analysis of the optimizing project using improved generic algorithm and computational result using engineering computational method in practical grid planning yield the same results, this shows that the improved algorithm has better adaptability
Uncovering the Enablers, Benefits, Opportunities and Risks for Digital Open Government (DOG): Enablers, Benefits, Opportunities and Risks for DOG
No full textThe systematic review approach has been used to collect, examine, interpret, and synthesize research regarding enablers, challenges, opportunities, risks, and the usefulness of open government. The current review adopted the meta-synthesis approach to conduct the systematic review on 61 selected research papers. The study has covered the enablers for such initiatives and how governments of various countries can achieve open government benefits like lower level of corruption, higher level of public awareness and education, high level of transparency, more democratic control, improve efficiency and effectiveness of public services, and improve public services. The author has extracted various risks and challenges that obstruct open government efforts from getting their full potential. The study is helpful for policymakers of those countries who are planning to implement an open government system in their countries. However, a cooperation bias is one of the most considerable limitations in research studies that are included in this systematic literature review
The Moderator of Innovation Culture and the Mediator of Realized Absorptive Capacity in Enhancing Organizations' Absorptive Capacity for SPI Success
No full textSoftware process improvement (SPI) is critical to information system development. In the context of successful SPI, this research focuses on a firm's dynamic learning ability to see how it facilitates an effective means of acquiring and utilizing external SPI knowledge in responding to changing software development environments. Specifically, the authors propose a research model to investigate how two mechanisms of absorptive capacity are incorporated with innovation culture as a contextual factor to enable successful software process improvement. A survey was conducted including 125 SPI certified firms in China and Taiwan to examine the model. The findings indicate that a firm's potential absorptive capacity significantly influences realized absorptive capacity, which has a significant impact on SPI success and acts as a partial mediator between potential absorptive capacity and SPI success. Moreover, the results suggest that the mediating effect of potential absorptive capacity on SPI success via realized absorptive capacity is amplified when innovation culture is imposed
A Thresholding Approach for Pollen Detection in Images Based on Simulated Annealing Algorithm
No full textMelissopalynology is a field that studies pollen grain origins to identify their species. It consists of studying either the chemical composition of each grain, or their shapes using microscopic images. This paper presents a system of pollen identification based on the microscopic images, it is divided into two parts, first part is the pollen detection using a thresholding method with simulated annealing algorithm. The second step is the pollen classification, in which we used deep convolutional neural network to extract features from the detected pollen grains and represent them in numerical vectors, therefore, we can use these vectors to classify them based on fully connected neural network, SVM or similarity calculation. The obtained results showed a high efficiency of the neural network in which it could recognize 98.07% of the pollen species compared not just to SVM and similarity methods, but also to works from literature
A General Approach for Financial Quantification of Climate Change Risk for Enterprises
No full textClimate change is a major risk for the global economy. Increased frequency of climatic events coupled with unsustainable economic development without considering environmental & social aspects has resulted in runaway climatic impacts. It became evident for all stakeholders to work in unison; which led to formation of Task force on climate-related financial disclosures (TCFD). Financial quantification of climate risk is a new area to be explored & could be an effective measure to tackle climate change. This chapter provides a general approach for financial quantification of climate change risk for businesses to understand & prioritize climate action. Though the approach is limited to the manufacturing sector, it can be used with some modifications for other sectors. It will help find impacts that climate change could pose to supply chain using various tools & evaluation of its usefulness. As 'Climate Action' is part of Sustainable Development Goals; it will be useful to understand how integrating TCFD could help enterprises tackle climate change by localizing SDG-13 into their businesses