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Over the past decade, the cost of product development has increased drastically, and this is due to the inability of most enterprises to locate suitable and optimal collaborators for knowledge sharing. Nevertheless, knowledge sharing is a mechanism that helps people find the best collaborators with relevant knowledge. Hence, a new approach for locating optimal collaborators with relevant knowledge is needed, which could help enterprise in reducing cost and time in a knowledge-sharing environment. The paper aims to discuss these issues.

One unique challenge in the domain of knowledge sharing is that collaborators do not possess the same number of events resident in the knowledge available for sharing. In this paper, the authors present a new approach for locating optimal collaborators in knowledge-sharing environment using the combinatorial algorithm (CA-KSE).

The proposed pattern-matching approach implemented in Java is considered efficient for solving the issue peculiar to collaboration in knowledge-sharing domain. The authors benchmarked the proposed approach with its semi-global pairwise alignment and global alignment counterparts through scores comparison and the receiver operating characteristic curve. The results obtained from the comparisons showed that CA-KSE is a perfect test having an area under curve of 0.9659, compared to the other approaches.

The paper has proposed an efficient algorithm, which is considered better than related methods, for matching several collaborators (more than two) in KS environment. The method could be deployed in medical field for gene analysis, software organizations for distributed development and academics for knowledge sharing.

One sign of strength of this approach, compared to most sequence alignment approaches that can only match two collaborators at a time, is that it can match several collaborators at a faster rate.

Hate speech is an expression of intense hatred. Twitter has become a popular analytical tool for the prediction and monitoring of abusive behaviors. Hate speech detection with social media data has witnessed special research attention in recent studies, hence, the need to design a generic metadata architecture and efficient feature extraction technique to enhance hate speech detection.

This study proposes a hybrid embeddings enhanced with a topic inference method and an improved cuckoo search neural network for hate speech detection in Twitter data. The proposed method uses a hybrid embeddings technique that includes Term Frequency-Inverse Document Frequency (TF-IDF) for word-level feature extraction and Long Short Term Memory (LSTM) which is a variant of recurrent neural networks architecture for sentence-level feature extraction. The extracted features from the hybrid embeddings then serve as input into the improved cuckoo search neural network for the prediction of a tweet as hate speech, offensive language or neither.

The proposed method showed better results when tested on the collected Twitter datasets compared to other related methods. In order to validate the performances of the proposed method, t-test and post hoc multiple comparisons were used to compare the significance and means of the proposed method with other related methods for hate speech detection. Furthermore, Paired Sample t-Test was also conducted to validate the performances of the proposed method with other related methods.

Finally, the evaluation results showed that the proposed method outperforms other related methods with mean F1-score of 91.3.

The main novelty of this study is the use of an automatic topic spotting measure based on naïve Bayes model to improve features representation.

The purpose of this paper is to suggest a conceptual analysis and design of knowledge management (KM) system for “Ifa” divination. In previous research, a randomized expert system for “Ifa” was proposed. In the system, the signatures of the divine‐chain are simulated through randomization process from 1 to 16, triggering the inference engine and knowledge base. This system has been experimented and it works.

The paper proposes a conceptual analysis and design of KM system for “Ifa.” In this system, applying KM to “Ifa” oracle consultation plays the core role. Moreover, the formal explanation of the whole process is given.

“Ifa” knowledge visualization was designed with Visual Basic 6.0 and MS‐Access for storing “Ifa” data. The paper presents an application tagged “Ifagraph” – an oracle browser version 1.0.0 that displays the signatures when executed.

This is a novel approach that promotes indigenous technology from an African perspective.

The need for maximum cognition from massive amounts of data is becoming explosive. Different visualization mechanisms are being introduced to achieve this aim. This paper aims to consider the state of organizations as regards being abreast with the recent visualization technologies.

In this paper, the authors look critically at the system adoption life cycle as it applied to visualization system. Also, the two forms of visualization; static and dynamic are looked at, considering the least applied and why. An evaluation of the visualization system was implemented in order to discern if it provides any benefit to organizations.

The study showed that the RT‐DANGO tool when compared to result from Excel exposed some spikes at some points when visualized dynamically which are not observed using usual static graph as it exposed some unseen events. The mean time taken to finish analysis of 4,000 concurrent‐related data were 168 s using RT‐DANGO and 121 s with the MS‐Excel. The difference was significant to p<0.05 (Z=−2.040). This was considered a reasonable tradeoff for accuracy, clarity and completeness of information.

The paper shows the factors that are responsible for visualization's usage in organizations. The paper will thus serve as an eye opener to critical issues affecting the visualization industry to the benefit of all stakeholders. Some references are made to the challenges faced in Nigeria.

This paper aims to focus on how the advantages of computer mediated social networks (CMSN) can be effectively harnessed to create value for organizations in the form of ready knowledge and quick solutions to problems.

A knowledge capture technique – the Delphi technique – was fused into the social networking process. A model was designed to help show how this can be achieved and further illustrated through a case study of the dotCSC intranet portal – a social networking project conceptualized and designed by the authors for the Department of Computer Science, in the authors' university. An online survey was carried out to determine the efficacy of the prototype dotCSC.

The results show that, though computer mediated social networks are regarded as major sources of social capital development and potential sources of knowledge capital, there is still room for improvement in their present design if they are to be effectively used for knowledge creation and management attaining their optimum potential. Conversely, the bad spells and pitfalls of KM acceptance and deployment in organizations tend to be reduced when it is amalgamated with SN. The survey conducted showed that the users of the dotCSC enjoyed using the prototype as they would any other CMSN and that the strategies employed in the development of the dotCSC was effective in problem solving, knowledge creation, capturing, and indeed, management.

This improvement strategy is by no means exhaustive of the creative ways that knowledge capturing and management concepts can be combined and applied in the actual design of CMSNs for the benefit of organizations. It is meant to be an eye opener, a clarion call to developers and IS managers. It will also serve as a starting point into the future of objective KM oriented CMSN. Possible response bias from some respondents can be considered a primary limitation of the research.

Looking through existing documentation and literature would show that this research presents a novel approach/model in the design of CMSNs. It is able to aid knowledge generation or synthesis in organizations by objectively structuring staff conversations through the CMSNs to facilitate knowledge management. It can also help organizations leverage the success and appeal of CMSN in their design of KMSs.

In tertiary institution, some students find it hard to learn database design theory, in particular, database normalization. The purpose of this paper is to develop a visualization tool to give students an interactive hands‐on experience in database normalization process.

The model‐view‐controller architecture is used to alleviate the black box syndrome associated with the study of algorithm behavior for database normalization process. The authors propose a visualization “exploratory” tool that assists the learners in understanding the actual behavior of the database normalization algorithms of choice and also in evaluating the validity/quality of the algorithm. This paper describes the visualization tool and its effectiveness in teaching and learning normalization forms and their functional dependencies.

The effectiveness of the tool has been evaluated in surveys. It shows that students generally viewed the tool more positively than the textbook technique. This difference is significant to p<0.05 (t=1.645). The mean interactions precision and calculated value using expert judge relevance ratings show a significant difference between visualization tool and textbook performance 3.74 against 2.61 for precision with calculated t=6.69.

The visualization tool helped students validate/check their learning of normalization process. Consequently, the paper shows that the tool has a positive impact on students' perception.

Education delivery via electronic media is becoming relevant in Nigeria educational systems, especially the universities. In spite of this, there are hindrances affecting the total acceptability of this technology.

In this paper, we investigated these critical factors by analyzing the questionnaires collected from three sampled universities in Nigeria: private, public and state owned universities.

The results obtained indicated that mass unawareness, low computer literacy level and cost were identified as the critical factors affecting the acceptability of the technology.

Analysis herein has shown the factors affecting the acceptability of e‐learning in Nigeria. The results obtained will assist policy makers by finding solutions to literacy problems in Nigeria.

The purpose of this paper is to develop a multi‐user electronic bill presentment and payment (EBPP) model that would enhance the present billing systems as well as overcome the problems of periodic generation of billing reports and mail volumes.

The paper evaluates three existing models of EBPP: Biller‐direct, consolidation, and invited pull models and identifies their limitations. Then, the thin consolidation model approach is modified by developing an Extensible Hypertext Markup Language based architecture that is capable of consolidating billing reports from a variety of disparate heterogeneous sources. The modified model is implemented using two case studies.

The modified consolidation model of the EBPP enhances quick subsequent notification of bills to the consumer for goods or services previously rendered. In the model, a user could pay for multiple services rendered by companies; this in turn overcomes mail volumes.

This paper develops a data integration and unification architecture that will allow billing reports from multiple billers to be integrated into a unified database.

The purpose of this paper is to develop the Great Green Wall (GGW) Project initially financed by the United Nation’s Global Environment Facility Trust Fund, is a Pan African proposal in greening the Sahel of Africa from West (Dakar) to the East (Djibouti). It aims at reducing poverty and soil degradation in this region, taking into account the effects of desertification and climate change on sustainability of livelihoods.

Several desertification attenuation projects in Nigeria are employing different methods for maximum benefits obtainable from the objectives of the particular projects. As noted above, however, the approach of GGW is to improve the alternative livelihoods of the people by their active participating in the implementation of the project. It is also noted that environmental impact assessment, community reconnaissance or needs assessments might be initial part of pre-project activities, thereby making the communities more aware and educated of the impending environmental problems.

Desertification has reached an alarming state in Nigeria. The frontline desert threatened States of Nigeria constitute 43 percent of the land mass of the country. With increased pressure of desertification, exacerbated by a period of prolonged drought of more than 20 years, climate change and human activities, it is becoming increasingly difficult to obtain sustainability in the management of the fragile lands and the region’s ecosystem. Strategic interventions in combating the problem of desertification in Nigeria have attenuated some of the detrimental social, economic and environmental impacts on the affected communities. Programmes and projects have strengthened the resilience of the people, participating in sand dune stabilization, the Great Green Wall Sahara Sahel Initiative, including shelterbelt developments. Government has sustained inputs in environmentally friendly agriculture and also encouraged synergetic collaborative activities with international and national NGOs, international agencies and local institutions.

These results/activities give evidence of the increased public awareness of environmental degradation due to desertification and climate change in Nigeria; the realization in environmental stabilization needs with ready participation of the communities for improved livelihoods in environmental activities and arid agriculture as supported by the National Great Green Wall (NAGGW) program of the country; resulting in internalization of these projects supporting livelihoods for sustainability in the Sahel of Nigeria.

The purpose of this paper is to evaluate the effects of housing finance institutional and financial context on beneficiaries’ context to low income earners in Bauchi Local Government Area, Bauchi, Nigeria

This paper adopted a quantitative research approach. Self-administered structured questionnaires were used to collect information from 357 primary school teachers in Bauchi Local Government Area, Bauchi, Nigeria. Partial least squares-structural equation modeling was used to analyze the data collected using SmartPLS 2 software

This study revealed that effectiveness of financial institutions and their performance has significant positive causal effect on low income earners housing ownership context, which shows that performance and effectiveness of the housing finance institutions is vital to housing ownership for the low income earners in the study area. Thus, performance of housing finance institutions and their effectiveness has direct effects on low income earners housing ownership through finance affordability

The prime consumer of these research findings are the financial institutions, this will make them bulk up in terms of their performance and effectiveness toward housing finance accessibility and affordability to the low income earners such as the primary school teachers in the study area.

This paper used the technology organization environment theory, which is a multi-perspective theory to evaluate the concepts of institutional, finance and beneficiaries context with respect to housing finance in Bauchi by conceptualizing institutional context as effectiveness and performance, finance context as affordability and accessibility and beneficiaries context as ownership.