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The knowledge management (KM) models in the African organisations are influenced by the interplay between human agents from diverse societies whose experiences, values, contextual information and insights that are perceived controversial in Africa. The purpose of this paper is to elucidate the indigenous assumptions related to knowledge and its management in Africa and the perceived contradictions in the existing models by adopting the Ubuntu philosophy.

The authors used a perspective lens to examine the existing management practices and propose an integrated framework that is appropriate for the utilisation of the Ubuntu epistemic knowledge management practices and at the same time provide highlights on the perceived paradoxes and how they can be managed to improve knowledge management and people management in African societies.

The inductive posteriori knowledge approach is perceived to be dynamic, applicable and more desirable in the African societies as it allows organisational managers and their work teams to embrace knowledge construction, dependent on experiences in form of stories and metaphors that demonstrate successful work samples. The Ubuntu dramaturgical knowledge management approach adds value to the posteriori knowledge by refining the rhetoric stories and metaphors into empirical performance scripts that are tailored to the audiences’ expectations.

The paper adapted a perspective view to explain knowledge management; therefore, it was not possible to provide empirical data on the metaphysical and dramaturgical elements that are assumed to influence knowledge management in Africa. However, based on theoretical analysis, the authors have proposed a coherent knowledge management framework based on the interaction between posteriori KM assumptions and Ubuntu dramaturgy.

Ubuntu ideology has been appreciated since it treasures interdependency and interconnectedness among people. Therefore, collaborating partners working in Africa would be expected to act as interdependent agents, whereby this interdependency is perceived as an integral part of the knowledge management process. The proposed Ubuntu knowledge management model is grounded on the posteriori knowledge approach which assumes that experience is the source of knowledge. Through social interactions and experiences sharing, organisational members can create new processes, innovative technologies and dynamic context based performance scripts that can drive productivity.

The authors concluded that a coherent framework that is tailored to social interactions and contextual needs of the people and their communities can promote productive knowledge and knowledge management systems in the African contexts. Moreover knowledge management requires one to acknowledge the complexity of Ubuntu ideology in a sense that it recognises the past experiences and contributions of the diverse individuals in the same community/organisation.

This paper focused on examining how the Ubuntu philosophy can promote knowledge development and management strategies that are tailored to social and contextual needs of the organisations in Africa to curtail the perceived paradoxes in the existing knowledge management models.

The purpose of this paper is to inform facility managers of the type of failure affecting certain pipe types more than others. This is useful in asset management as preventive maintenance can be undertaken for those pipe types that experience high probabilities of failure.

The probability of a specific pipe type failing given the cause of break, age at failure, pipe diameter, and type of soil at the location of the break was found using inventory and main break data from the Honolulu Board of Water Supply (HBWS). Bayes’ theorem was then applied to find the posterior probabilities of failure starting from the prior probabilities of failure.

It was observed that the greatest probabilities of failure involved corrosion, pipes aged between 20‐30 years, 8″ pipes, and pipes in fill material. The pipe types were ranked and scored based on their probability of failing due to break cause, age, diameter, and soil type. Cast iron pipes were shown to have the highest probability of failing. As such, attention should be given to replace segments of cast iron pipes as they reach the end of their service lives.

This study serves to address a major query in asset management at a public utility, that of which pipes should be selected for replacement when they reach the end of their service life. In addition, this study helps to understand the causes of failure for the various types of pipe.

The importance of having reliable water supply at low cost has immense social implications in modern communities. To deliver such service, water pipe assets have to be managed efficiently.

This paper addresses the probability of failure in a straightforward manner that the water utility can easily apply to its own data, both in its design and asset management.

The purpose of this paper is to further the scholarly discussion of information experience as an object of study, including how this research area fits into library and information studies more broadly.

A conceptual discussion of certain issues raised in Yu and Liu's recent paper in this journal.

While Yu and Liu seem to suggest that only a priori information experience research belong in library and information science (LIS), this paper suggests that a priori and a posteriori research have a synergistic relationship and both have a home in LIS.

This paper clarifies how the two conceptualizations of information experience as an object of study relate to each other, as well as how these relate to information experience as a research approach, and how all this fits within the metadisciplinary field of LIS.

Gives a bibliographical review of the error estimates and adaptive finite element methods from the theoretical as well as the application point of view. The bibliography at the end contains 2,177 references to papers, conference proceedings and theses/dissertations dealing with the subjects that were published in 1990‐2000.

Knowledge market has become an important issue of knowledge management. The purpose of this paper is to study the design of an internal knowledge market for enabling knowledge transfer within an organization.

The knowledge market is modeled as a pull market, where buyers post and price their questions to elicit answers from potential sellers. Designing and offering different incentives and information technology (IT) support to knowledge workers with heterogeneous knowledge levels, a firm maintains the efficiency of the market and maximizes the organizational benefit from knowledge transfer.

The authors identify two payment policies, a priori and a posteriori, and two market‐regulating mechanisms, Locking and Open mechanisms. The optimal designs of incentive contracts and IT support are fully demonstrated for the a priori policy and Locking mechanism. The benefits of the market for knowledge transfer are illustrated from three aspects: transaction price as sharing reward; market as payment platform; and IT as transaction facilitator.

The paper provides valuable insights for practitioners to effectively manage knowledge assets within markets.

One of the crucial issues in the contemporary finance is the prediction of the volatility of financial assets. In this paper, the authors are interested in modelling the stochastic volatility of the MAD/EURO and MAD/USD exchange rates.

For this purpose, the authors have adopted Bayesian approach based on the MCMC (Monte Carlo Markov Chain) algorithm which permits to reproduce the main stylized empirical facts of the assets studied. The data used in this study are the daily historical series of MAD/EURO and MAD/USD exchange rates covering the period from February 2, 2000, to March 3, 2017, which represent 4,456 observations.

By the aid of this approach, the authors were able to estimate all the random parameters of the stochastic volatility model which permit the prediction of the future exchange rates. The authors also have simulated the histograms, the posterior densities as well as the cumulative averages of the model parameters. The predictive efficiency of the stochastic volatility model for Morocco is capable to facilitate the management of the exchange rate in more flexible exchange regime to ensure better targeting of monetary and exchange policies.

To the best of the authors’ knowledge, the novelty of the paper lies in the production of a tool for predicting the evolution of the Moroccan exchange rate and also the design of a tool for the monetary authorities who are today in a proactive conception of management of the rate of exchange. Cyclical policies such as monetary policy and exchange rate policy will introduce this type of modelling into the decision-making process to achieve a better stabilization of the macroeconomic and financial framework.

The purpose of this paper is to provide the results of investigation of multi‐moment statistical characteristics of chaos and apply them to improve the accuracy of nonlinear algorithms for chaos filtering for real‐time applications.

The approach to find multi‐moment statistical properties of chaos‐multi‐moment cumulant (covariance) functions of higher order is a generalization of the previously proposed (by the authors) “degenerated cumulant equations” method. Those multi‐moment cumulants functions are applied in the generalization of the Stratonovich‐Kushner equations (SKE) for the optimum algorithm of nonlinear filtering of chaos as well as for synthesis of the quasi‐optimum algorithms.

Results are presented to investigate the multi‐moment statistical properties of chaos and formulate the theoretical background for synthesis of multi‐moment optimum and quasi‐optimum algorithms for nonlinear filtering of chaos with the improved accuracy in the presence of additive white noise.

The paper presents new theoretical results of the statistical description of chaos, previously partially reported only from experimental studies. A novel approach for chaos filtering is also presented. The proposed approach is dedicated to further improvement of the filtering accuracy for the case of low (less than one) SNR scenarios and is important for implementation in real‐time processing. As an important practical example, the new modified EKF algorithm is proposed with the rather opportunistic characteristics of the filtering fidelity together with algorithm complexity – practically the same as the “classic” one‐moment EKF algorithm.

This paper aims to propose a dynamically balanced mechanism for cleaning unit used in agricultural thresher machine using a dynamically equivalent system of point masses.

The cleaning unit works on crank-rocker Grashof mechanism. This mechanism can be balanced by optimizing the inertial properties of each link. These properties are defined by the dynamic equivalent system of point masses. Parameters of these point masses define the shaking forces and moments. Hence, the multi-objective optimization problem with minimization of shaking forces and shaking moments is formulated by considering the point mass parameters as the design variables. The formulated optimization problem is solved using a posteriori approach-based algorithm i.e. the non-dominated sorting Jaya algorithm (NSJAYA) and a priori approach-based algorithms i.e. Jaya algorithm and genetic algorithm (GA) under suitable design constraints.

The mass, center of mass and inertias of each link are calculated using optimum design variables. These optimum parameters improve the dynamic performance of the cleaning unit. The optimal Pareto set for the balancing problem is measured and outlined in this paper. The designer can choose any solution from the set and balance any real planar mechanism.

The efficiency of the proposed approach is tested through the existing cleaning mechanism of the thresher machine. It is found that the NSJAYA is computationally more efficient than the GA and Jaya algorithm. ADAMS software is used for the simulation of the mechanism.

The critical dimension and the one that can unify knowledge through systemic interrelationships, is unification of the purely a priori with the purely a posteriori parts of total reality into a congruous whole. This is a circular cause and effect interrelationship between premises. The emerging kind of world view may also be substantively called the epistemic‐ontic circular causation and continuity model of unified reality. The essence of this order is to ground philosophy of science in both the natural and social sciences, in a perpetually interactive and integrative mould of deriving, evolving and enhancing or revising change. Knowledge is then defined as the output of every such interaction. Interaction arises first from purely epistemological roots to form ontological reality. This is the passage from the a priori to the a posteriori realms in the traditions of Kant and Heidegger. Conversely, the passage from the a posteriori to a priori reality is the approach to knowledge in the natural sciences proferred by Cartesian meditations, David Hume, A.N. Whitehead and Bertrand Russell, as examples. Yet the continuity and renewal of knowledge by interaction and integration of these two premises are not rooted in the philosophy of western science. Husserl tried for it through his critique of western civilization and philosophical methods in the Crisis of Western Civilization. The unified field theory of Relativity‐Quantum physics is being tried for. A theory of everything has been imagined. Yet after all is done, scientific research program remains in a limbo. Unification of knowledge appears to be methodologically impossible in occidental philosophy of science.

A constitutive model based on classical plasticity theory for non‐linear analysis of concrete structures using finite elements is presented. The model uses the typical parameters of non‐associated plasticity theory for frictional materials and a modified Mohr‐Coulomb yield surface is suggested. Onset and amount of cracking at a point are controlled by the values of the effective plastic strain and thus it can be studied by a posteriori postprocessing of numerical results. The accuracy and objectivity of the model is checked out with some examples of application.