Purpose – This research discussed ethics, shared values, university image, and trust as factors of student loyalty. This investigation is performed to discover aspects that influence loyalty. Student loyalty factors were previously researched, but the bulk of the research covered only major loyalty factors such as shared values, trust and university image, but overlooked university ethics as a student loyalty determinant. Research methodology – This study is fundamentally a quantitative study using the methodology of survey research. The information is evaluated using AMOS by means of exploratory factor analysis and structural equation modelling (SEM). Findings – The results show how the image of the university, the ethics and the shared values of the graduates positively influence the trust, which affects loyalty. Research limitations – Regarding the limitations of the study which also reconfigure lines of future research, it is important to note, in the first place, the geographical restriction of the population under study to three Moroccan universities. Practical implications – Educational providers can use the findings to know what increase the loyalty and allocate resources to improve the determinants that affect the trust of the students, thus increasing the allegiance of the learners. Originality/Value – This research provides innovative knowledge regarding the maintenance of the university’s relations with its graduates.

Big data (BD) analytics is emerging as a valuable innovative research area for academics and professionals, showing the substantial requirement in an information-motivated economy focused on knowledge for answers to the market issues. It isn’t simple to effectively utilize the emerging technology, and it’s actually more difficult to evaluate the BD involvement in enhancing company performance. Furthermore, empirical research exploring the effects on financial performance and market value of the BD remain limited. In evaluating its impact on firm value, this research suggested employing the companies intellectual (IC) capital as a substitute for the BD efficiency deployment. This research utilized the VAIC technique to determine IC, through its principal constituents: capital employed efficiency, structural capital efficiency, human capital efficiency and subsequently applied the SEM method to examine the model fit. The data in this research comprise 29 Moroccan firms registered on the Casablanca Stock Exchange (CSE). These firms are part of 8 sectors: Food producers and processors, banks, Insurance, building and construction materials, participation and promotion real estate, distributors, mining, hardware, software and IT services. The chosen information covering a period of six years, from 2013 to 2019. The test findings indicated that capital employed efficiency and human capital efficiency affect positively and significantly the financial performance and market value.

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Purpose: In this study, a meticulous summary of all the main investigations in response to the link between intellectual capital and innovation is achieved. Methodology: A meta-analysis technique was implemented to establish the data in context and to determine the proposed research utility, this approach enables systematic review sources of information correlated with two variables predicted research associate intellectual capital and innovation. Main findings: The results of the systematic review reveal that intellectual capital is a generator of innovation in corporations. Implications: This paper will provide support to investigators who are intended to work in this area. Novelty: This article sheds some light and gives future researchers answer to questions like what are the signifiers in which works are involved with? What theories are established in this area and data selection mechanisms chosen by scientists in the field?