A New Approach to Information Extraction in User-Centric E-Recruitment Systems

In modern society, people are heavily reliant on information available online through various channels, such as websites, social media, and web portals. Examples include searching for product prices, news, weather, and jobs. This paper focuses on an area of information extraction in e-recruitment, or job searching, which is increasingly used by a large population of users in across the world. Given the enormous volume of information related to job descriptions and users’ profiles, it is complicated to appropriately match a user’s profile with a job description, and vice versa. Existing information extraction techniques are unable to extract contextual entities. Thus, they fall short of extracting domain-specific information entities and consequently affect the matching of the user profile with the job description. The work presented in this paper aims to extract entities from job descriptions using a domain-specific dictionary. The extracted information entities are enriched with knowledge using Linked Open Data. Furthermore, job context information is expanded using a job description domain ontology based on the contextual and knowledge information. The proposed approach appropriately matches users’ profiles/queries and job descriptions. The proposed approach is tested using various experiments on data from real life jobs’ portals. The results show that the proposed approach enriches extracted data from job descriptions, and can help users to find more relevant jobs

The mediating role of innovation in the relationship between market orientation and university performance in Pakistan

Universities globally are going through a paradigm shift with a need to become more innovatively market-oriented to handle the issue of growing competition for funding, as well as attracting/retaining the international/local competent students and academicians. However, there appears to be a dearth of research on how such state of affairs could be addressed, particularly in the emerging economies like Pakistan. In the light of resource-based theory (RBT), as well as organizational-learning theory (OLT), literature suggests that market-orientation (MO) and innovation are to be the desirable unique resources, as well as the guiding philosophies, to enable universities for a more competitive performance. Hence, this study investigated how resources like marketorientation (MO), and innovation, can influence university performance (UP). The study also tested empirically the potential mediating effect of innovation on the MOUP relationship. In addition, how the dimensions of MO influenced the innovation and university performance (UP) were also tested empirically in the universities of Pakistan. Results of the PLS path modelling (with 369 respondents from the target public-sector universities) firstly confirmed significant effect of the “universal construct of MO” and two of its dimensions “the advising and mentoring, as well as the intelligencegeneration and response” on UP. However, one dimension of MO, which is the administration-leadership, was not significantly supported to directly influence the UP. Secondly, the study confirmed that there were significant direct effects of the “universal construct of MO”, as well as all of its dimensions, on innovation. Thirdly, the study also found that there was a significant effect of innovation on UP. Furthermore, the bootstrapping results found significant mediation of innovation between the MO-UP relationship. Hence, the results show that UP can be directly enhanced through MO and innovation. Even the use of innovation as a mediator can further strengthen the MO-UP relationship. Based on the findings, the study offers theoretical and practical implications, followed by its limitations and directions, for future research

The mediating role of innovation in the relationship between market orientation and university performance in Pakistan

Universities globally are going through a paradigm shift with a need to become more innovatively market-oriented to handle the issue of growing competition for funding, as well as attracting/retaining the international/local competent students and academicians. However, there appears to be a dearth of research on how such state of affairs could be addressed, particularly in the emerging economies like Pakistan. In the light of resource-based theory (RBT), as well as organizational-learning theory (OLT), literature suggests that market-orientation (MO) and innovation are to be the desirable unique resources, as well as the guiding philosophies, to enable universities for a more competitive performance. Hence, this study investigated how resources like marketorientation (MO), and innovation, can influence university performance (UP). The study also tested empirically the potential mediating effect of innovation on the MOUP relationship. In addition, how the dimensions of MO influenced the innovation and university performance (UP) were also tested empirically in the universities of Pakistan. Results of the PLS path modelling (with 369 respondents from the target public-sector universities) firstly confirmed significant effect of the “universal construct of MO” and two of its dimensions “the advising and mentoring, as well as the intelligencegeneration and response” on UP. However, one dimension of MO, which is the administration-leadership, was not significantly supported to directly influence the UP. Secondly, the study confirmed that there were significant direct effects of the “universal construct of MO”, as well as all of its dimensions, on innovation. Thirdly, the study also found that there was a significant effect of innovation on UP. Furthermore, the bootstrapping results found significant mediation of innovation between the MO-UP relationship. Hence, the results show that UP can be directly enhanced through MO and innovation. Even the use of innovation as a mediator can further strengthen the MO-UP relationship. Based on the findings, the study offers theoretical and practical implications, followed by its limitations and directions, for future research

The Encyclopedia of Neutrosophic Researchers - vol. 1

This is the first volume of the Encyclopedia of Neutrosophic Researchers, edited from materials offered by the authors who responded to the editor’s invitation. The authors are listed alphabetically. The introduction contains a short history of neutrosophics, together with links to the main papers and books. Neutrosophic set, neutrosophic logic, neutrosophic probability, neutrosophic statistics, neutrosophic measure, neutrosophic precalculus, neutrosophic calculus and so on are gaining significant attention in solving many real life problems that involve uncertainty, impreciseness, vagueness, incompleteness, inconsistent, and indeterminacy. In the past years the fields of neutrosophics have been extended and applied in various fields, such as: artificial intelligence, data mining, soft computing, decision making in incomplete / indeterminate / inconsistent information systems, image processing, computational modelling, robotics, medical diagnosis, biomedical engineering, investment problems, economic forecasting, social science, humanistic and practical achievements

De-terminants of entreprneurial career: Experience of polytechnic students

Purpose- This study focuses on the factors influencing students’ choice of selecting entrepreneurship as their career after graduation. The paper aims to gain more understanding of how personality traits, entrepreneurship knowledge-experience and current economic environment affect entrepre-neurial career among polytechnic students in Malaysia. Design/methodology/approach- A theoretical framework based on a literature review is developed. Empirical results were derived from a quantitative approach based on survey method and a cross sectional study. Hypothesis testing were executed where multiple regression analysis utilized to verify the direct relationship between independent variables and dependent variables. Findings- Personality traits and favorable economic environment were proven important in explain-ing students intention to choose entrepreneurial career as their career choice after they graduated from study. Research Implications- The results shall aid polytechnics management in formulating their curricu-lum and programs that fit students’ priorities that they shall choose their future undertaking as an entrepreneur. Malaysian public policy regarding higher education should consider some changes required in higher learning institutions in the country. Annual budget and higher learning institutions entrepreneurship programs shall be revised accordingly after considering the results of the study. Originality/value- Entrepreneurial intention inquiries in Malaysian institutions have been very limited and an established framework need more serious efforts. This study contributes to entrepreneu-rial intention body of knowledge. Research Paper Reference to this paper should be made as follows: Awang, A., Ibrahim, I. I., Ayub, S. A.(2014). ―De-terminants of entreprneurial career: Experience of polytechnic students‖, Journal of Entrepreneur-ship, Business and Economics, Vol. 2, No. 1, pp. 21–40

Factors determining perceived job performance of University leaders in Pakistan

Universities within the tertiary education system perform an imperative job in developing the high-level researchers, specialists, scientists and professionals, required by the economy. World-class University is a need of today. The development of a world-class university requires strong leadership as it has widespread effects on the overall performance of the university. This research focused on the improvement of university leadership based on issues and problems related to it. In this regard, the study explored the effects of managerial competency, self-efficacy and learning orientation as predictors of university leaders’ job performance to enhance their effectiveness and efficiency. The notion of entrepreneurial leadership has received a somewhat little concentration in the tertiary education leadership studies. So the study proposed and analysed the mediating effect of entrepreneurial leadership through which university leaders can improve their job performance. In addition to that moderating effect of the dynamic environment was also examined on the above-stated relationships. The research used a quantitative method through survey instrument and 242 usable questionnaires were collected from the leaders of public higher education institutions of Punjab, Pakistan. Partial Least Squares (PLS) was employed to analyse the data. Results showed support for the theoretical model that was studied. The results implied that managerial competency, self-efficacy, and learning orientation are linked with performance. The mediating process was also empirically justified, but the moderating effect of the dynamic environment was not found on the proposed model. The study has validation for a theoretical framework to trigger the future research and theory on edifying university leadership and to comprehend how such leadership develop and has significance for effective job performance. By summarising the results of this research and building a link to its useful applications the study is also useful and has importance for policy makers, academicians and practitioners for further improving and developing university leadership

Upset or Collapse Detection System for ASD Children Using Smart Watch with Machine Learning Algorithm

ASD is characterised by severe and violent behavioural issues that are referred to as "meltdowns (upset) or tantrums (collapse)" and can include aggression, hyperactivity, intolerance, unpredictability and self-injury. This research work intends to develop and implement a non-invasive real-time Upset or Collapse Detection System (UCDS) for people with ASD. With a certain model of smart watch, the non-invasive biological indications such as Pulse Rate (PR), Skin Temperature (ST), and Galvanic Skin Reaction (GSR) can be artificially captured.  In order to create the UCDS, deep learning algorithms like CNN, LSTM, and the hybrid of CNN-LSTM are given the physiological signals that are captured to a server. The deep learning algorithm could recognise aberrant upset or collapse states from real-time physiological signs after being trained.  Deep learning algorithms including CNN, LSTM, and CNN-LSTM are used to train and test the proposed UCDS system, and it is discovered that hybrid CNN-LSTM beat them all with an average training and testing accuracy of 96% and a low mean absolute error (MAE) of 0.10 for training and 0.04 for testing.  Furthermore, the suggested UCDS system is supported by 93% of the ASD caretakers