Commerce and Financial Management

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    Knowledge Management Orientation: A Synthesized Window for Future Research
    (South Asian Journal of Business Insights 2021, Faculty of Management and Finance University of Ruhuna, Sri Lanka, 2021) Jayampathi, E.K.; De Alwis, A.C.; Razi, M.J.M.
    The knowledge management behavior of an organization is discussed under the concept of knowledge Management Orientation (KMO). As one of the most important strategic resources of an organization, there is a growing interest among scholars and practitioners about KMO. Although the interest in KMO is widely spread all over the world, little attention has been given to integrate the findings of former surveys and assess the prevailing status of the research in this field. This study aims to conduct a systematic review of KMO research, to identify the various kinds of definitions of KMO, measurements of KMO, areas in which KMO studies are conducted, research gaps addressed in KMO research, limitations confronted by the former studies and the future focuses of the KMO research. By following multiple filtering processes, 35 scholarly works on KMO published during the period from 2015 to 2020 were identified. The study reveals that there is a high potential for future studies in KMO in association with numerous fields of study. Future scholars and practitioners who wish to conduct their studies on KMO can use the findings of this study as a motive to initiate their research work.
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    Investigation of IT Competence and Readiness of IT Students Facing The Industrial Revolution 4.0
    (IEEE, 2020) Arifin, Viva; Razi, M.J.M.; Kartiwi, Mira; Abdullah, Lili Marziana
    The focus of this research is to investigate IT competence and IT students' readiness to face the industrial revolution 4.0 based on student perception. In this preliminary study, a survey was distributed through an online survey to 50 Indonesian IT students. Respondents were students of Syarif Hidayatullah State Islamic University who were between 18-24 years old. The results show that the hard skills that are more in demand are Information Technology Governance and Management, and the least desirable is Information Technology Enterprise Architecture. Regarding soft skills, most of the students agreed that the important trait the IT graduates should uphold to is honesty. In general, 92 percent of respondents were ready to enter the era of the industrial revolution 4.0. These findings confirm that competence in the form of hard skills, soft skills, and readiness to face the era of the industrial revolution 4.0 is one of the core elements to determine the extent of preparation of IT students facing the era of the industrial revolution 4.0. Enhancing one competency to embark on the new industrial revolution is a must, and agility is indeed a critical identity that must be inherent in IT students in facing the industrial revolution 4.0.
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    Adopting e-hailing Application Among Malaysian Millennials
    (The 7th International Conference on Cyber and IT Service Management (CITSM), Jakarta Convention Center – Jakarta, 2019) Razi, M.J.M.; Tamrin, M.I.M.; Nor, R.M.
    e-hailing apps dominate the public taxi transport sector all over the globe. Different researchers study this disruptive business model from a different perspective. The current researchers look at this phenomenon from the technology acceptance perspective. Technology Acceptance Model (TAM) make the base for the study. The variables Performance Expectancy (PE) and the Effort Expectancy (EE) and another two variables Trust, and Enjoyment are also considered in this study. Data were collected from 352 university students who are millennials. Out of the four hypotheses proposed, Effort Expectancy (H2), Trust (H3), and Enjoyment (H4) positively influence Intention. The hypothesis related to PE (H1) was not supported. Implications are discussed.
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    Supervised Identification of Acinetobacter Baumanni Strains Using Artificial Neural Network
    (Journal of Information Systems and Digital Technologies, Vol. 1, No. 2, 2019) Tamrin, M.I.M.; Maifiah, M.H.M.; Azemin, M.Z.C.; Turaev, S.; Razi, M.J.M.
    In hospital environments around the world bacterial contamination is prevalence. One of the most commonly found bacteria is the Acinetobacter Baumannii. It can cause unitary tract, lung, abdominal and central nervous system infection. This bacteria is becoming more resistant to antibiotics. Thus, identification of the non-resistant from the resistant bacteria strain is of important for the correct course of treatments. We propose to use the artificial neural network (ANN) for supervised identification of this bacteria. The mass spectra generated from the liquid chromatography mass spectrometry (LCMS) were used as the features to train the ANN. However, due to the massive number of features, we applied the principle component analysis (PCA) to reduce the dimensions. Less than 1% of the original number of features were utilized. The hand out validation method confirmed that the accuracy, sensitivity and specificity are 0.75 respectively. In order to avoid selection biasness in the sampling, 5-fold cross validation was performed. In comparison, the average accuracy is close to 0.75 but the average sensitivity is slightly higher by 0.50
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    Knowledge management behavior among academicians: The case of a Malaysian higher learning institution
    (Journal of Information and Communication Technology, 2019) Razi, M.J.M.; Habibullah, M.; Hussin, H.
    to perform to the expectation including higher learning institutions (HLIs). Hence, struggling to perform is an indication of lack of KM initiatives. Though many facets of KM have been investigated in HLIs, more studies are needed as the previous empirical works have focused only on knowledge sharing behavior among academicians. An intensive literature review exposes that nonexistence of works employing KM-related theories. Therefore, this study seeks to investigate academicians’ perceived intention (KM Intention) and involvement in KM initiatives (KM Behavior) and its predictors in a Malaysian HLI, which is struggling to perform, by relating theory of knowledge creation. KM intention explains the perception and the attitudes towards KM while the KM behavior illustrates the real behavior. Both these variables were operationalized based on knowledge creation theory through the socialization, externalization, combination, and internalization (SECI) process. A conceptual framework was developed based on the theory of reasoned action and the theory of planned behavior. Six independent variables representative of the socio-cultural nature of KM - trust, management support, decentralization, IT support, performance expectancy, and effort expectancy - were considered as the predictors of KM intention, which in turn, predict KM behavior. Data were collected from 156 academicians from an HLI in Malaysia using questionnaires. The questionnaire items were adapted from previous studies. The structural model analysis confirmed that out of seven proposed hypotheses, four are supported: Trust, performance expectancy, and effort expectancy influence KM Intention, while KM Intention influences KM Behavior. Even though further research works are needed to generalize the findings, the current research and the findings can enrich the KM literature and provide some insights to the decision makers of the selected HLI on the appropriate KM implementation strategies.