• EPPR: blockchain for educational record sharing and recommendation using the Ethereum platform

      Alkouz, Akram; HajYasien, Ahmed; Alarabeyyat, Abdulsalam; Samara, Khalid; Al-Saleh, Mohammed; Higher Colleges of Technology; Al-Balqa' Applied University; Jordan University of Science and Technology (Inderscience, 2021-09-24)
      There has been a great deal of discussion of the challenges on privacy of Educational Professional Personal Record (EPPR). Therefore, it is required to reassess the current models, in which various parties generate, exchange and observe a huge amount of personal data with regard to EPPR. Ethereum blockchain has shown that trusted, auditable transactions are detectible using a decentralised network of nodes. In this paper, we propose a novel decentralised framework to manage EPPR using Ethereum blockchain. The framework provides the owner of the EPPR a comprehensive immutable log and accessibility to their educational records across the educational record editors and consumers. Furthermore, it provides a recommender engine to endorse skills and competencies to the education record owners and similar candidates for educational records editors and consumers. The aim of the proposed framework is to enable educational stakeholders to participate in the network as blockchain miners rewarded by pseudonymised data.
    • A heuristics approach for computing the largest eigenvalue of a pairwise comparison matrix

      Nachiappan, Subramanian; Ramanathan, Ramakrishnan (Inderscience, 2019-04-10)
      Pairwise comparison matrices (PCMs) are widely used to capture subjective human judgements, especially in the context of the Analytic Hierarchy Process (AHP). Consistency of judgements is normally computed in AHP context in the form of consistency ratio (CR), which requires estimation of the largest eigenvalue (Lmax) of PCMs. Since many of these alternative methods do not require calculation of eigenvector, Lmax and hence the CR of a PCM cannot be easily estimated. We propose in this paper a simple heuristics for calculating Lmax without any need to use Eigenvector Method (EM). We illustrated the proposed procedure with larger size matrices. Simulation is used to compare the accuracy of the proposed heuristics procedure with actual Lmax for PCMs of various sizes. It has been found that the proposed heuristics is highly accurate, with errors less than 1%. The proposed procedure would avoid biases and help managers to make better decisions. The advantage of the proposed heuristics is that it can be easily calculated with simple calculations without any need for specialised mathematical procedures or software and is independent of the method used to derive priorities from PCMs.
    • Micro-foundations as a grounding for readiness-for change in knowledge sharing initiatives

      Samara, Khalid; Al Serhan, Omar (Inderscience, 2021-11-17)
      While many organisations are often engaged in conventional change practices that usually involve top-down strategies for creating change, knowledge sharing initiatives differ where most of the complex processes are handled at the human-level. Therefore, knowledge sharing initiatives present a unique type of conundrum where there is a need to closely interconnect human behaviours and the person's readiness to identify the most effective approaches to achieve change. This paper investigates the individual level readiness-for change by studying organisational knowledge sharing initiatives from a micro-foundational perspective. These issues have been largely missing in the knowledge sharing literature which is integral to understanding of how to manage individuals at the micro-level who are experiencing a behavioural change as result of knowledge sharing initiatives. In this study an inductive grounded theory approach is being used to analyse the individuals' level experiences and origins of various influential factors supporting or inhibiting their readiness during knowledge sharing initiatives. The results indicate that asymmetries in communication and lack of awareness to knowledge sharing initiatives are fundamentally constructs akin to micro-level behaviours that have obvious effects on the individuals' readiness-for change.
    • Working with values: an alternative approach to win-win

      Williams, Sarah; Preston, Diane; University of Bedfordshire; Open University (Inderscience, 2019-05-01)
      In this paper we offer an alternative perspective on the business case for why organisations should embrace the arguments for corporate social responsibility (CSR). In particular we look at the win-win scenario often posited by both internal and external agencies where it is not only the business who wins by adopting a CSR agenda but also the environment; save money - save the planet. Using a case study of a group of SME managers belonging to a Green Business network in the UK, we offer a different approach to relying on the traditional win-win scenario that assumes businesses and managers are motivated largely by financial gain. Instead, we show how a series of workshops were used based on Schwartz's Value System with the aim of helping the managers to, firstly understand their own values and motivations toward CSR and, secondly, how they could translate this to better understand the values of their own managers and colleagues with regard to embedding CSR practice. The aim of the paper is to highlight the value of taking a perspective on CSR at the individual level as well as offering a tool that managers could use in their own practice.