Commerce and Financial Management

Permanent URI for this collectionhttp://repository.kln.ac.lk/handle/123456789/215

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    Internal environmental factors and the level of adoption of HRIS
    (DAAAM International Symposium on Intelligent Manufacturing And Automation, 2019, 2019) De Alwis, C.; Andrlic, Berislav; Sostar, Marko
    Current study attempts to examine the relationship between internal environmental factors and the level of adoption HRIS. An integrated conceptual framework was integrated ideas and elements from the diffusion of innovation ...
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    E-learning in India and Sri Lanka : A Cross-Cultural Study
    (Sabaragamuwa University of Sri Lanka, 2019, 2019) Kurian, Simmy; Ramanathan, Hareesh N.
    E-learning is a planned effort towards providing interactive and experiential learning having flexibility in terms of time, place, pace, participation and accessibility. Globalization has set the stage for a social ...
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    The Influence of Social Commerce on Consumer Decisions
    (The International Technology Management Review, 2018) Hettiarachchi, H.A.H.; Wickramasinghe, C.N.; Ranathunga, S.
    Today, comprehending consumer behavior is becoming dynamically challenging with the emergence of social commerce. Business organizations are now striving to convince consumers by exploiting the advantage of social support empowered by online social networks. Importantly, social ties in such online social networks facilitate trust as the most compelling benefit while alleviating the perceived risk, which happened to be the major concerns with electronic commerce over the years. This research study is aimed at understanding the impact of social commerce on the consumer behavior, particularly consumer decision-making stages. Hence, this research was conducted as a quantitative study involving a cross-sectional survey and gathered valid responses from Facebook users. Structural Equation Modeling (SEM) was used to analyze data and test hypotheses. The findings exhibited significant positive effects from social commerce on all the consumer decision-making stages namely; need recognition, information search, alternative evaluation, purchase decision and post-purchase decision. Therefore, this study highlights the importance of employing an appropriate social commerce strategy for business organizations.
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    How Brands opt Social Media Influencers for Influencer Marketing on Instagram: A Study on Sri Lankan Beauty & Personal Care Brands
    (Sri Lanka Journal of Marketing, University of Kelaniya, 2019) Lakmal, K.G.P.; Hettiarachchi, H.A.H.; Anuranga, B.K.H.D.
    Prominent studies revealed that building the right relationship with the right social media influencer is one of the biggest challenges in influencer marketing. This study mainly aimed at exploring how Sri Lankan beauty and personal care brands opt social media influencers for their influencer marketing campaigns on Instagram. To fulfill the purpose of the study, the study adopted qualitative research approach based on semi-structured interviews to collect responses. The respondents were the personnel responsible for supervising influencer marketing campaigns of beauty and personal care brands in Sri Lanka. The study adopted thematic analysis to perform the analysis of the study and revealed that Sri Lankan beauty and personal care brands opt social media (Instagram) influencers based on top four “REAL” qualities, namely: Relatedness, Engagement, Authenticity and Loyalty. Moreover, researchers discovered the main reasons for choosing social media influencers by Sri Lankan beauty and personal care brands. In addition, study found that the same brands were not much interested in checking the demographic details when selecting social media influencers.
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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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    BENCHMARKING OF HALAL FOOD PRODUCTS USING SIMILARITY MEASURES - A CONCEPTUAL RETRIEVAL MODEL
    (Journal of Information Systems and Digital Technologies, 2019) Tamrin, M.I.M.; Turaev, S.; Azemin, M.Z.C.; Razi, M.J.M.; Maifiah, M.H.M.
    Muslims are concerned with the Halal status of food products sold in the supermarkets. Many products that are imported from overseas are not certified by JAKIM. In this paper, we proposed a conceptual model for benchmarking food products against certified Halal products. Our motivation is to provide similarity measurement between certified and non-certified food products based on their ingredients. This model comprises three main phases: ingredient acquisition, ingredient transformation and similarity measures calculation. In the first phase, web crawlers are employed to retrieve product information from JAKIM online database and supermarket web pages. In the second phase, an index structure will be constructed to allow faster ingredient retrieval which will be used for similarity calculation. In the last phase, Euclidian distance, cosine similarity measure and Jaccard correlation coefficient will be used to measure the similarities between two products. Our proposed model is to complement but not to replace the existing JAKIM procedure to verify food products by empowering Muslim consumers with informed decision making.
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    Influencing Factors of Social Commerce Behavior in Saudi Arabia
    (IEEE Digital Library, 2019) Razi, M.J.M.; Sarabdeen, M.; Tamrin, M.I.M.; Kijas, A.C.M.
    Social commerce is getting popular all over the world including in the middle eastern countries. The main objective of this work is to identify the factors that influence the purchasing intention and the behavior among the Y generation and millennials in the Kingdom of Saudi Arabia. For this purpose, a hypothetical conceptual model was developed based on proven theories and well-established literature. To test this model, data were collected from 178 university students using an online questionnaire. Data were analyzed using SPSS 25. The validity and the reliability of the questionnaire items were determined through factors analysis and Cronbach Alpha. All hypotheses were supported in linear regression analysis, however, the stepwise multiple regression analysis which shows the simultaneous effects of the independent variables, resulted in that out of 11 hypotheses 3 were not supported. Based on the findings a discussion was developed at the end of the paper.
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    Equity Risk Premium Puzzle: Evidence from Indonesia and Sri Lanka
    (Bulletin of Indonesian Economic Studies, 2019) Morawakage, P.S.; Nimal, P.D.; Kuruppuarachchi, D.
    This paper investigates the equity risk premium puzzle in the Indonesian and Sri Lankan stock markets in order to identify the relationship between the volatility of excess returns and the equity risk premium. The asymmetric impact of negative shocks on the equity risk premium is also examined using threshold and exponential GARCH-M models. We analyse data on the excess returns of the Indonesian and Sri Lankan stock markets from 2004 to 2013, and we find that the impact of the conditional volatility of excess returns on the equity risk premium is not significant in either country. Instead, we find an impact from negative return shocks on the equity risk premium only in Sri Lanka. Therefore, we conclude that investors are not compensated for the conditional volatility of the excess returns in these two markets, while Sri Lankan investors are compensated for the risk of negative shocks.
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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.