bluuebunny/crossref_metadata_2025_split huggingface dataset:
Perancangan Perniagaan dan Prestasi Perniagaan: Kajian Ke Atas PKS Islam di Malaysia
Authors: Mohd Saad Rosli , Abdul Ghani Abdullah , Ahmad Shuhymee 
Published: August 2020

Aktiviti perancangan perniagaan telah terbukti berjaya mempengaruhi hubungan yang signifikan dengan prestasi perniagaan. Namun demikian, terdapat segelintir pengkaji yang melaporkan bahawa aktiviti perancangan perniagaan tidak penting. Hal yang demikian ini memberi kesan dan mempengaruhi ramai usahawan untuk tidak menyedia dan melaksanakan aktiviti ini dalam perniagaan. Rentetan itu, makalah meneliti kecenderungan usahawan mengaplikasikan aktiviti perancangan perniagaan dan hubungan aktiviti tersebut ke atas prestasi perniagaan. Kajian dijalankan menggunakan strategi kutipan data secara pos dan berdasarkan pensampelan kebarangkalian kelompok. Kajian ini melibatkan 117 sampel daripada sektor perkilangan/pembuatan dan sektor pertanian dalam kalangan usahawan Perusahaan Kecil Sederhana (PKS) Islam di Malaysia. Penemuan kajian mendapati usahawan PKS Islam di Malaysia berkecenderungan mengaplikasikan aktiviti rancangan perniagaan dalam operasi perniagaan mereka. Selain itu, kajian juga mendapati perancangan perniagaan mempunyai hubungan yang signifikan positif dengan prestasi perniagaan. Kata kunci: Perancangan perniagaan, prestasi perniagaan, perusahaan kecil dan sederhana.
A Study on the Customer’s Acceptance Towards Islamic Banking Products Among Non-Muslim in Dual Banking System
Authors: Mohamad Juwairiah , Che Majid Muhammad Fakhirin 
Published: August 2020

Islamic banking products (IBP) are offered not only to the Muslim community, but also to communities of other religions who are free to choose products depending on their convenience. According to a report, the percentage of non-Muslim communities choosing IBP in Malaysia has been steadily increasing and is expected to continue to increase in future. The Dual Banking System is one of the initiatives that has been created in conventional banks as an extra facility for the communities to engage with IBP easily without going to Islamic Banks. This paper aims to study the factors that drive non-Muslim customers to accept IBP. Specifically, this paper examines the relationship between four factors: knowledge, understanding, perception and the level of awareness among non-Muslim customers regarding their acceptance on IBP in the Dual Banking System. About 140 non-Muslim IBP customers of the Dual Banking System around Changlun, Jitra and Alor Setar were selected based on convenience and were randomly picked as respondents of this study. Some data were also collected through interviews with the bank personnel and the bank’s customers besides the self-administered questionnaire survey. Employing the SPSS approach, the hypotheses of the study were tested. The findings showed that there are significance relationships between customer’s knowledge, understanding, positive perception, and the level of awareness perceived among non-Muslim customers and their acceptance of IBP. Keywords: Islamic banking products; non-Muslim customers; acceptance.
The Determinants of Foreign Direct Investment in China: A Spatial Panel Analysis
Authors: Yong Chen-Chen , Yew Siew-Yong , Huang Xin , Chin Mui-Yin 
Published: August 2020

China is currently the major foreign direct investment (FDI) destination arising from her open door policies since 1978. FDI has become a large impetus to China’s economic growth. However, the geographical distribution of FDI in China is severely biased with 83% concentrated in the eastern region. This is a result of not only differences in locational advantages but also the result of the initiating policies and temporal differences of FDI inflows among the regions. This study aims to examine the determinants of FDI and examine empirically the possible coherent policies for the three regions of China (Eastern, Central and Western) using the spatial panel analysis for the data within the period of 1994 to 2008. The empirical results show that the determinants of FDI vary among the three regions, depending on the motives of the investor and the results of policy bias. The entrepreneurial nature of competition of FDI among the provinces revealed by the spatial FDI factor is a conclusion that cannot be ignored. A more coherent policy on FDI inflows into China is an urgent necessity, though the policies for each region must be, of necessity, different for each of the three regions. Keywords: Foreign Direct Investment, China, Spatial panel model, spatial variables JEL: F14, C33
Petroleum Consumption and Financial Development in Malaysia
Authors: Chen Jen-Eem , Tan Yan-Ling , Lee Chin-Yu , Goh Lim-Thye 
Published: August 2020

This paper aims to contribute to the existing literature by examining the dynamic relationship among petroleum consumption, financial development, economic growth and energy price. The sample of this study is based on the Malaysian annual data from 1980 to 2010. The model specification was examined in the Autoregressive Distributed Lag (ARDL) framework and the results revealed the existence of a long-run equilibrium. The findings indicated that financial development and economic growth cause a demand for energy to escalate in the long run. The Toda-Yamamoto (TYDL) non Granger-causality test provides evidence that there is unidirectional Granger-causality running from financial development and economic growth to energy consumption in the long run. This suggests that Malaysia is not an energy-dependent country. Hence, the government could implement energy conservation policies to reduce the waste of energy use. Given that development in the financial sector, and economic growth increase petroleum consumption in Malaysia, the policies pertaining to energy consumption should incorporate the development of the financial sector and economic growth of country. Keywords: Petroleum consumption, financial development, non-renewable energy, Autoregressive Distributed Lag (ARDL), Toda-Yamamoto (TYDL) non Granger-causality test
CORAK PEMBELIAN PRODUK BERASASKAN HERBA DI MALAYSIA (Buying Patterns of Herbal-Based Products in Malaysia)
Authors: Ismail Sarina , Mohd. Mokhtar Sany Sanuri 
Published: August 2020

Penggunaan herba semakin mendapat tempat dalam kehidupan masyarakat moden pada masa ini dan sering digunakan sebagai perubatan alternatif. Terdapat peningkatan pembelian produk berasaskan herba dalam pasaran sama ada keluaran tempatan mahupun antarabangsa. Akan tetapi, bagaimanakah caranya untuk usahawan industri herba menjadi lebih berdaya saing dalam memasarkan produk berasaskan tanpa mengetahui corak pembelian? Corak pembelian dianggap penting dan dapat membantu usahawan untuk mengetahui persoalan berkaitan dengan apa, di mana, bagaimana, dan berapa banyak pembelian untuk sesuatu produk? Lantaran itu, ianya dapat membantu usahawan dalam proses penentuan campuran pemasaran serta memastikan kelangsungan jangka hayat perniagaan, kepuasan hati para pelanggan dan juga mengenal pasti keberkesanan strategi pemasaran. Dalam menentukan pensampelan kajian, kajian ini menguna pakai kaedah pensampelan kuota untuk menentukan jumlah populasi, manakala kaedah mall intersep digunakan sebagai salah satu kaedah pengumpulan data, pemilihan kaedah ini dibuat adalah untuk mendapatkan kepelbagaian karakter responden. Dapatan kajian menunjukkan bahawa corak pembelian produk berasaskan herba terdiri daripada pembeli sering membeli produk pemakanan kesihatan berbanding produk yang lain serta membeli di kedai yang menjual produk berasaskan herba berbanding lokasi pembelian yang lain. Para pembeli juga didapati lebih mempercayai maklumat yang disampaikan oleh rakan-rakan berbanding saluran maklumat yang lain. Hasil daripada analisis ini juga menunjukkan bahawa pembeli lelaki lebih kerap membeli dan lebih lama menggunakan produk berasaskan herba berbanding pembeli wanita. Kata Kunci: Corak pembelian; Produk berasaskan herba; Pensampelan kuota; Mall intersep; Malaysia.
ENTREPRENEURIAL SELF-EFFICACY DIMENSIONS AND HIGHER EDUCATION INSTITUTION PERFORMANCE
Authors: Bakar Muhammad Shukri , Ramli Azahari , Ibrahim Najafi Auwalu , Muhammad Ibrahim Garba 
Published: August 2020

A detailed literature review provided consistent justification for the effect of entrepreneurial self-efficacy (ESE) on entrepreneurial intention. Recently, the literature yielded similar relationship on the link between ESE to firm performance. Although there are a significant number of studies on this effect that was mostly conducted in the private sector, they mainly focused on the composite ESE construct. The present study replicated and validated these findings with data from the public sector, specifically, higher education institutions (HEIs). Moreover, the study focused on the individual effect of all dimensions of ESE identified by Chen, Greene, and Crick (1998). Using PLS-SEM and non-probability sampling, the data were collected from 180 academic leaders from selected HEIs in Kano, Nigeria. The findings indicated that three dimensions of ESE (financial control ESE, innovation ESE, and risk taking ESE) were found to be significantly related to HEI performance, while two (management ESE and marketing ESE) were insignificantly related to HEI performance. The practical implication and suggestion for future study are also discussed. Keywords: Entrepreneurial self-efficacy, HEIs, Performance
Impact of the New Public Management Paradigm on the Operation of Federal Establishments in Borno State, Nigeria
Authors: Umaru Usman D 
Published: August 2020

The study examined the impact of the New Public Management Paradigm on the operation of Federal establishments in Borno State, Nigeria. To achieve this objective, the collected data were analysed using Chi-square, Correlation and ANOVA. The study revealed that there is a significant improvement in the performance of the staff and the quality of service delivery in the Federal establishments under study. The study concluded that the outsourcing of services has improved the quality of service delivery. However, the policy was not being properly implemented because in some of the Federal establishments under study, the same services outsourced were being carried out by very few retained staff. They were not enough to do the job and the outsource firms given the contract, did not provide enough qualified staff to augment the short-fall. The study recommended that qualified service providers (outsourcing firms) in the relevant cadres be allowed to do the job or as an alternative, the Federal government can encourage the setting up of Independent Units in all its establishments to compete with the outsourcing firms in carrying out outsourcing services at a fee, in order to attain qualitaty service delivery. Keywords: New Public Management, Public service, Outsourcing and Service delivery.
MICROCREDIT COVERAGE IN MALAYSIAN MACROECONOMIC CONTEXT: AN EVIDENCE USING PANEL DATA ANALYSIS
Authors: Selvaraj Thilagarani , Abdul Karim Zulkefly , Abdul-Rahman Aisyah , Chamhuri Norshamliza 
Published: August 2020

This paper aims to examine the effect of macroeconomic condition on microcredit coverage in Malaysia. The Microcredit Organizations (MO) was established to complement the mainstream financial institutions but challenges remain with microcredit performances associated with microcredit coverage. The paper accordingly investigates the effects of macroeconomic condition on microcredit coverage in the Malaysian context. To achieve the objective, the static panel data technique is adopted, which comprises 13 states and three Federal Territories in the country, spanning 2011 to 2015. The findings reveal the resiliency of MO towards macroeconomic conditions in Malaysia. The increase in the inflation rate and agriculture GDP (LNAGDP) share shows significant negative and positive effects (non-resilient) on microcredit coverage. The main findings will assist in addressing the newly identified macroeconomic condition to improve on micro credit performance. Policy implications emanating from the study are expected to be relevant to the government, MOs and borrowers. The government accordingly can make important contributions to borrowers by maintaining macroeconomic stability (inflation and LNAGDP share) through appropriate policies in order to achieve good microcredit coverage. MOs may revisit the existing quality regulation (MOs risk weighing loan disbursement) based on the macroeconomic condition which, in turn, can be used in outreaching more microcredit borrowers. Finally, this study may also help to elucidate specific understanding of the government and MO objectives in outreaching microcredit borrowers. Keywords: microcredit coverage, macroeconomic condition, microcredit organisation, Malaysia
COMPUTER-AIDED SYSTEM FOR MODELLING MACHINERY PROCUREMENT DUE-DATE PREDICTION IN PRODUCTION INDUSTRIES
Authors: Akinnuli Basil O. , Oluwadare Samuel A. 
Published: August 2020

Machinery procurement is carried out in both government and private sectors. One of the major criteria for the selection of vendors is their ability to meet the due-date of supply. Failure to meet the supply due-date will affect installation time, commissioning time, as well as start- up date negatively. The set target for the period will be difficult to meet and working overtime to recover the lost period will cause over-flogging of machine, increase in wear rate which can lead to the life-span reduction of the machine. To arrest this situation, a stochastic model was developed to predict machinery/equipment procurement flow time and set due-date for the supply of the machine by the vendor. The model utilized data on the procurement activities which were analysed based on optimistic, most likely and pessimistic time for each activity. The stochastic model used Project Evaluation and Review Techniques (PERT) for analysing these three time estimates from which expected time was predicted. The model accommodates procurement strategic decisions, flow chart development, data collection form, network analysis, activities paths determination and critical path identification. This research was able to develop a model for machinery procurement, develop computer software for implementing the model and validate the effectiveness of the model using an existing company as case study. The expected completion time is 45 days, with variance of 2 days while the probability of supplying the machine in not more than 2 days is 86%. This model will find application in small, medium and large scale industries in both developing and developed countries.
QUANTITATIVE METRIC FOR RANKING WEB ACCESSIBILITY BARRIERS BASED ON THEIR SEVERITY
Authors: Abuaddous Hayfa Yousef , Jali Mohd Zalisham , Basir Nurlida 
Published: August 2020

Web accessibility aims at providing disabled users with a barrierfree user experience so they can use and contribute. However, not all websites comply with WCAG 2.0 which results in Web accessibility barriers in websites. Thus, assistive technologies such as screen readers would not be able to interpret the presented contents on the monitor due to these barriers and this will contribute to making websites inaccessible to disabled users. This paper proposed an innovative metric that assigns measurable weight to each identified barrier based on its severity and impacts on the accessibility level, and then ranks the barriers accordingly. Following, Web developers can fix the highly ranked severe barriers instead of wasting time in studying and fixing less severe types of barriers that may rarely occur. An experiment was conducted to check the metric validity. We found the metric was valid and thereby we suggested the usage of the metric as a valid scientific measurement.
ROBUST WATERMARKING TECHNIQUE USING DIFFERENT WAVELET DECOMPOSITION LEVELS FOR SIGNATURE IMAGE PROTECTION
Authors: Thanki Rohit , Dwivedi Ved Vyas , Borisagar Komal 
Published: August 2020

This paper proposed a non-blind watermarking technique based on different wavelet decomposition levels for biometric image protection. In this technique, a biometric image is used as a watermark instead of a standard image, logo or random noise pattern type watermark. For watermark embedding, the original host image and the watermark biometric image are transformed into various levels of wavelet coefficients. The watermark biometric image is embedded into the host image by modifying the values of the wavelet coefficients of the host image using the values of wavelet coefficients of the watermark biometric image. Experimental results demonstrated that the proposed technique was able to withstand various watermarking attacks. The novelty of the proposed technique is that it is used to transform coefficients of the watermark biometric image instead of the Pseudo Noise sequences or any other feature extraction technique.
EFFICIENT MOBILE VIDEO TRANSMISSION BASED ON A JOINT CODING SCHEME
Authors: Boudjadja Rima , Azni Mohamed , Dahmani Abdelnasser , Zennir Mohamed Nadjib 
Published: August 2020

In this paper, we propose a joint coding design which uses the Symbol Forward Error Correction (S-FEC) at the application layer. The purpose of this work is on one hand to minimize the Packet Loss Rate (PLR) and, on the other hand to maximize the visual quality of video transmitted over a wireless network (WN). The scheme proposed is founded on a FEC adaptable with the semantics of the H.264/AVC video encoding. This mechanism relies upon a rate distortion algorithm, controlling the channel code rates under the global rate constraints given by the WN. Based on a data partitioning (DP) tool, both packet type and packet length are taken into account by the proposed optimization mechanism which leads to unequal error protection (UEP). The performance of the proposed JSCC unequal error control is illustrated over wireless network by performing simulations under different channel conditions. The simulation results are then compared with an equal error protection (EEP) scheme.
HIGH ACCURACY EEG BIOMETRICS IDENTIFICATION USING ICA AND AR MODEL
Authors: Kaewwit Chesada , Lursinsap Chidchanok , Sophatsathit Peraphon 
Published: August 2020

Modern biometric identification methods combine interdisciplinary approaches to enhance person identification and classification accuracy. One popular technique for this purpose is Brain-Computer Interface (BCI). The signal so obtained from BCI will be further processed by the Autoregressive (AR) Model for feature extraction. Many researches in the area find that for more accurate results, the signal must be cleaned before extracting any useful feature information. This study proposes Independent Component Analysis (ICA), k-NN classifier, and AR as the combined techniques for electroencephalogram (EEG) biometrics to achieve the highest personal identification and classification accuracy. However, there is a classification gap between using the combined ICA with the AR model and AR model alone. Therefore, this study takes one step further by modifying the feature extraction of AR and comparing the outcome with the proposed approaches in lieu of prior researches. The experiment based on four relevant locations shows that the combined ICA and AR can achieve higher accuracy than the modified AR. More combinations of channels and subjects are required in future research to explore the significance of channel effects and to enhance the identification accuracy.
A SYSTEMATIC READING IN STATISTICAL TRANSLATION: FROM THE STATISTICAL MACHINE TRANSLATION TO THE NEURAL TRANSLATION MODELS.
Authors: Maazouzi Zakaria El , El Mohajir Badr Eddine , Al Achhab Mohammed 
Published: August 2020

Achieving high accuracy in automatic translation tasks has been one of the challenging goals for researchers in the area of machine translation since decades. Thus, the eagerness of exploring new possible ways to improve machine translation was always the matter for researchers in the field. Automatic translation as a key application in the natural language processing domain has developed many approaches, namely statistical machine translation and recently neural machine translation that improved largely the translation quality especially for Latin languages. They have even made it possible for the translation of some language pairs to approach human translation quality. In this paper, we present a survey of the state of the art of statistical translation, where we describe the different existing methodologies, and we overview the recent research studies while pointing out the main strengths and limitations of the different approaches.
IDENTIFYING SKYLINES IN CLOUD DATABASES WITH INCOMPLETE DATA
Authors: Gulzar Yonis , Aljuboori Ali Amer Alwan , Salleh Norsaremah , Al Shaikhli Imad Fakhri 
Published: August 2020

Skyline queries is a rich area of research in the database community. Due to its great benefits, it has been integrated into many database applications including but not limited to personalized recommendation, multi-objective, decision support and decision-making systems. Many variations of skyline technique have been proposed in the literature addressing the issue of handling skyline queries in incomplete database. Nevertheless, these solutions are designed to fit with centralized incomplete database single access. However, in many real-world database systems, this might not be the case, particularly for a database witha large amount of incomplete data distributed over various remote locations such as cloud databases. It is inadequate to directly apply skyline solutions designed for the centralized incomplete database to work on cloud due to the prohibitive cost. Thus, this paper introduces a new approach called Incomplete-data Cloud Skylines (ICS) aiming at processing skyline queries in cloud databases with incomplete data. This approach emphasizes on reducing the amount of data transfer and domination tests during skyline process. It incorporates sorting technique that assists in arranging the data items in a way where dominating data items will be placed at the top of the list helping in eliminate dominated data items. Besides, ICS also employs a filtering technique to prune the dominated data items before applying skyline technique. It comprises a technique named local skyline joiner that helps in reducing the amount of data transfer between datacenters when deriving the final skylines. It limit the amount of data items to be transferred to only those local skylines of each relation. A comprehensive experiment have been performed on both synthetic and real-life datasets, which demonstrate the effectiveness and versatility of our approach in comparison to the current existing approaches. We argue that our approach is practical and can be adopted in many contemporary cloud database systems with incomplete data to process skyline queries.