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In this ever-growing competitive banking industry, understanding the effect of electronic banking service quality on customers’ satisfaction and loyalty is the secret to being competitive and successful in the sector. In Ethiopia, measuring service quality in the banking sector is a new paradigm. The primary purpose of this research was to examine the effect of electronic banking (e-Banking) service quality on customer satisfaction in Ethiopia’s emerging banking industry. Data were obtained using a closed-ended structured questionnaire from a total of 385 participants selected using a convenience sampling technique. Frequencies, percentage distributions, group modes, standard deviations, Chi-square correlations, and multinomial logistic regression were employed to analyze the quanti... |
In this work, we focus on the cross-shareholding structure in financial markets. Specifically, we build ad hoc indices of concentration and control by employing a complex network approach with a weighted adjacency matrix. To describe their left and right tail dependence properties, we explore the theoretical dependence structure between such indices through copula functions. The theoretical framework has been tested over a high-quality dataset based on the Italian Stock Market. In doing so, we clearly illustrate how the methodological setting works and derive financial insights. In particular, we advance calibration exercises on parametric copulas under the minimization of both Euclidean distance and entropy measure. |
Concepts based on psychology fit well with current research trends related to robotics and artificial intelligence. Biology-inspired cognitive architectures are extremely useful in building agents and robots, and this is one of the most important challenges of modern science. Therefore, the widely viewed and far-reaching goal of systems research and engineering is virtual agents and autonomous robots that mimic human behavior in solving known and unknown problems. The article proposes, at a high level of generality, an operational cybernetic model of the human mind, developed with the use of carefully selected ideas taken from psychological knowledge. |
Over the past two years, organizations and businesses have been forced to constantly adapt and develop effective responses to the challenges of the COVID-19 pandemic. The acuteness, global scale and intense dynamism of the situation make online news and information even more important for making informed management and policy decisions. This paper focuses on the economic impact of the COVID-19 pandemic, using natural language processing (NLP) techniques to examine the news media as the main source of information and agenda-setters of public discourse over an eight-month period. |
In this paper we address the question if, for points P,Q∈P2, I(P)m⋆I(Q)n=I(P⋆Q)m+n−1 and we obtain different results according to the number of zero coordinates in P and Q. Successively, we use our results to define the so called Hadamard fat grids, which are the result of the Hadamard product of two sets of collinear points with given multiplicities. The most important invariants of Hadamard fat grids, as minimal resolution, Waldschmidt constant and resurgence, are then computed. |
This open access book belongs to the Maritime Business and Economic History strand of the Palgrave Studies in Maritime Economics book series. This volume highlights the contribution of the shipping industry to the transformations in business and society of the postwar era. Shipping was both an example and an engine of globalization and structural change. In turn, the industry experienced and pioneered, mirrored and enabled key developments that led to the present-day globalized economy. Contributions address issues such as the macro-level shift of shipping’s centre of gravity from Europe to Asia, the political and legal frameworks within which it developed, the strategies and performance of both successful and unsuccessful firms, and the links between the shipping industry and the w... |
Existing deep unfolding methods unroll an optimization algorithm with a fixed number of steps, and utilize convolutional neural networks (CNNs) to learn data-driven priors. However, their performance is limited for two main reasons. Firstly, priors learned in deep feature space need to be converted to the image space at each iteration step, which limits the depth of CNNs and prevents CNNs from exploiting contextual information. Secondly, existing methods only learn deep priors at the single full-resolution scale, so ignore the benefits of multi-scale context in dealing with high level noise. To address these issues, we explicitly consider the image denoising process in the deep feature space and propose the deep unfolding multi-scale regularizer network (DUMRN) for image denoising |
The analysis of many phenomena requires partitioning societies into groups and studying the extent at which these groups are distributed with different intensities across relevant non-ordered categorical outcomes. When the groups are similarly distributed, their members have equal chances to achieve any of the attainable outcomes. Otherwise, a form of dissimilarity between groups distributions prevails. We characterize axiomatically the dissimilarity partial order of multi-group distributions defined over categorical outcomes. |
This study investigates challenges facing entrepreneurs in Jordan, identifies some of problems specific to SMEs, and offers some solutions to help these companies improve their conditions. This study collected primary data through interviews with entrepreneurs in four start-up companies specialized in diverse fields, including information technology, consulting, training, and e-marketing. This study found many obstacles facing entrepreneurs in Jordan, the most important of which are financial and logistical support, the challenge of distributing work, owning operating experiences, obtaining information, commercial relations, and networking. The results of this study showed that women face greater challenges in relation to financing and investment opportunities. |
Octagonal layouts are widely used in medieval architecture. In Spain, the Cathedral of Valencia is an exceptional example because of its compositional arrangement and early date of construction. The study of this cathedral serves not only to propose the regulatory layout and geometric process to develop the transept, the ambulatory, and the dome but allows the empirical establishment of the complex properties and characteristics of the octagon. By surveying the planes with a 3D laser scanner, the graphic procedures used in the original design of the temple were verified, as were the geometric theories pertaining to the figure of the octagon in architecture, set by the golden ratio. |