bluuebunny/crossref_metadata_2025_split huggingface dataset:
The Role of Entrepreneurial Orientations in Talent Retention Amongst Malaysian Engineers
Authors: Osman Idris , Noordin Fauziah , Mohd Idaya Husna , Loon Koe Wei 
Published: August 2020

This paper examines the linkage between entrepreneurial orientation (EO) and talent retention amongst Malaysian engineers from the perspective of entrepreneurial orientation theory.A cross-sectional survey of 104 engineers from private organisations in Malaysia was conducted to test the hypothesised relationships between constructs. The population comprised graduate and professional engineers who were registered under the Board of Engineers Malaysia (BEM). The purposive sampling method was employed for data analysis purposes. Data was analysed using partial least square-structural equation modelling technique. The results of this study indicated a significant relationship between innovativeness, proactiveness, risk-taking, and competitive aggressiveness and the intention to stay (ITS). Autonomy was found not significant in predicting engineers’ ITS the same jobs. Engineers require EO to support their freedom of ideas and thoughts to exploit opportunities, produce creativity, and solve engineering task-related problems and uncertainty situations. EO dimensions can be used to predict engineers’ ITS current employments. This study provides crucial information for the organisations and policy makers to develop mechanisms and policies to enhance the engineers’ involvement of effective EO for increasing retention. Keywords: Engineers, Entrepreneurial orientation, Intention to stay, Talent, Malaysia
EFFECTS OF INTEGRATING DIRECT CASH AID INTO FUEL SUBSIDY REMOVAL IN THE DOMESTIC COMMODITY MARKET IN MALAYSIA USING COMPUTABLE GENERAL EQUILIBRIUM (CGE) MODEL
Authors: Ying Loo Sze , Harun Mukaramah 
Published: August 2020

Direct cash aid has been introduced to protect the poor from the impact of rising fuel prices in efforts to remove subsidies in Malaysia. Thus, this paper is aimed at evaluating the changes in prices and quantities of consumer commodities produced by 17 sectors in response to the integration of direct cash aid into fuel subsidy removal. Specifically, the direct cash aid was a reallocation of saved resources through the complete removal of fuel subsidy. This study was carried out using the Lofgren-based computable general equilibrium (CGE) model, by simulating the before and after imposition of fiscal integration. With the withdrawal of government fuel subsidy, the findings showed that recipients of the cash aid tended to spend on basic necessities such as food and beverages, and petrol (for individual vehicle consumption). Nonetheless, the sudden increase in consumer expenditure led to higher consumer prices as current supplies was unable to catch up with increase in demand. Thus, it is advisable to have other effective, concurrent development programs to stimulate future economic development. Keywords: Fuel subsidy removal, Direct cash aid, Computable general equilibrium (CGE) model.
INTERPERSONAL COMMUNICATION SKILLS OF NURSE MANAGERS AND NURSING PERFORMANCE
Authors: Ibrahim Yuliani , Ahamat Amiruddin 
Published: August 2020

Interpersonal communication between the nurse manager and the executing nurse is needed for the continuity and productivity of the profession, whereby one’s productivity is strongly influenced by performance. Therefore, this study aims to know the extent of the relationship between the interpersonal communication skills (leadership, communication process, motivation, and negotiation skills) of the nurse managers, (independent variable), and the performance of nurses, (dependent variable) at Tgk. Chik Ditiro Sigli Hospital and Harapan Bunda Banda Aceh Hospital in Indonesia. The population in this study were all nurses at the two hospitals consisting of 331 respondents. The results showed a significant relationship between the interpersonal communication skills of the nurse managers and the performance of the nurses at the two hospitals. The test results also showed that there was a significant difference between the interpersonal communication skills of the nurse managers and the performance of nurses at Tgk. Chik Ditiro Sigli Hospital and at Harapan Bunda Banda Aceh Hospital. The only variable that showed similarities between the two hospitals was motivation. Keywords: interpersonal communication, leadership, communication process, negotiation, motivation, performance.
JANGKA MASA PELAKSANAAN PEMBUATAN LEAN MEMPENGARUHI PRESTASI ORGANISASI: ANALISIS SYARIKAT PEMBUATAN DI MALAYSIA MENGGUNAKAN MODEL RASCH (TIME FRAME OF LEAN MANUFACTURING IMPLEMENTATION AFFECTS ORGANISATIONAL PERFORMANCE: AN ANALYSIS ON MANUFACTURING COM
Authors: Mohd Asaad Mohd Norhasni , Iteng Rosman , Saad Rohaizah 
Published: August 2020

Pasaran global hari ini memerlukan strategi pembuatan baru untuk meningkatkan kecekapan dan pembuatan. Matlamat utama industri perkilangan hari ini ialah untuk meningkatkan produktiviti melalui pemudahan sistem, potensi organisasi dan penambahbaikan berterusan dengan menggunakan teknik canggih seperti sistem pembuatan lean. Tujuan kajian ini adalah untuk melihat secara khusus sama ada jangka masa pelaksanaan lean mempengaruhi prestasi organisasi dengan menggunakan penganalisisan Model Rasch. Kajian ini menggunakan dua ratus lima syarikat pembuatan, yang dipilih secara rawak dari direktori Pengilang Persekutuan Malaysia. Kajian ini mengukur persepsi eksekutif kanan atau para pengurus mengenai tahap pelaksanaan pembuatan lean di syarikat mereka. Hasil kajian mendapati jangka masa tahun pelaksanaan lean tidak mempengaruhi secara terus terhadap pencapaian prestasi organisasi. Selain itu, cabaran yang paling sukar dihadapi syarikat dalam melaksanakan pembuatan lean ialah berkaitan membina program pembangunan pembekal yang sistematik. Dapatan kajian ini akan memberi panduan yang bermanfaat bagi para pengurus untuk merancang dan mengekalkan pembuatan lean dalam organisasi mereka serta menjana langkah-langkah baru untuk meningkatkan prestasi organisasi supaya dapat berdaya saing. Kata kunci: Pembuatan lean, prestasi organisasi, Model Rasch. Abstract Today’s global market requires new manufacturing strategies to enhance efficiency and manufacturing. The main aim of today’s manufacturing industry is to increase productivity through systems facilitation, organisational potential and continuous improvement using state-of-the art techniques such as lean manufacturing system. The aim of this study is to specifically examine whether the time frame of lean implementation affects organisational performance using the Rasch Model analysis. This study employed 205 manufacturing companies, which were randomly selected from the directory of the Federation of Malaysian Manufacturers. This study measured the perception of senior executives or managers concerning the implementation level of lean manufacturing in their companies. Results of the study showed that the year period of lean implementation did not directly affect achievement in organisational performance. Besides, the most difficult challenge faced by companies which implemented lean manufacturing was related to building a systematic supplier development program. Findings of this study will serve as a beneficial guide for managers in planning and sustaining lean manufacturing in their organisation including generating new measures to improve organisational performance in order to be competitive. Keywords: Lean manufacturing, organisational performance, Rasch Model.
ASSESSMENT OF STUDENTS’ COGNITIVE–AFFECTIVE STATES IN LEARNING WITHIN A COMPUTER-BASED ENVIRONMENT: EFFECTS ON PERFORMANCE
Authors: Wang Ruili , Ryu Hokyoung , Katuk Norliza 
Published: August 2020

Students’ cognitive-affective states are human-elements that are crucial in the design of computer-based learning (CBL) systems. This paper presents an investigation of students’ cognitiveaffective states (i.e., engaged concentration, anxiety, and boredom) when they learn a particular course within CBL systems. The results of past studies by other researchers suggested that certain cognitive-affective states; particularly boredom and anxiety could negatively infl uence learning in a computer-based environment. This paper investigates the types of cognitive-affective state that students experience when they learn through a specifi c instance of CBL (i.e., a content sequencing system). Further, research was carried to understand whether the cognitive-affective states would infl uence students’ performance within the environment. A one-way between-subject-design experiment was conducted utilizing four instruments (i) CBL systems known as IT-Tutor for learning computer network, (ii) a pre-test, (iii) a post-test, and (iv) self-report inventory to capture the students’ cognitive-affective states. A cluster analysis and discriminant function analysis were employed to identify and classify the students’ cognitiveaffective states. Students were classifi ed according to their prior knowledge to element the effects of it on performance. Then, non-parametric statistical tests were conducted on different pairs of cluster of the cognitive-affective states and prior knowledge to determine differences on students’ performance. The results of this study suggested that all the three cognitive-affective states were experienced by the students. The cognitive-affective states were found to have positive effects on the students’ performance. This study revealed that disengaged cognitive-affective states, particularly boredom can improve learning performance for lowprior knowledge students.
FACTORS INFLUENCING CLOUD COMPUTING ADOPTION IN SMALL MEDIUM ENTERPRISES
Authors: Hassan Haslinda , Mohd Nasir Mohd Herry , Khairudin Norhaiza , Adon Iskandar 
Published: August 2020

Cloud computing offers information technology (IT) infrastructure, platform, and various applications via the Internet with minimum start-up cost, network access to a shared pool of configurable computing resources, and pay-per-use services. Although the potential for cloud computing is evident and much of the extant research has been carried out on cloud computing adoption, empirical studies on the factors that influence cloud computing adoption in the Malaysian Small and Medium Enterprises (SMEs) are, however, lacking. The objective of this study was to examine the factors that influence cloud computing adoption by the SMEs. We conducted a quantitative survey-based study to examine the relationship between perceived benefits, top management support, IT resources, external pressure, and cloud computing adoption. A free-form comment provided at the end of each section of the survey questionnaire was treated as qualitative data. We find that IT resources and external pressure significantly influence cloud computing adoption. Nonetheless, there is not enough evidence to support perceived benefits and top management support as significant factors of cloud computing adoption.
A HIGH AVAILABILITY CLUSTER-BASED REPLICA CONTROL PROTOCOL IN DATA GRID
Authors: Mabni Zulaile , Latip Rohaya , Ibrahim Hamidah , Abdullah Azizol 
Published: August 2020

Data replication is widely used to provide high data availability, and increase the performance of the distributed systems. Many replica control protocols have been proposed in distributed and grid environments that achieved both high performance and availability. However, the previously proposed protocols still require a bigger number of replicas for read and write operations which are not suitable for a large scale system such as data grid. In this paper, a new replica control protocol called Clusteringbased Hybrid (CBH) has been proposed for managing the data in grid environments. We analyzed the communication cost and data availability for the operations and compared CBH protocol with recently proposed replica control protocols called Dynamic Hybrid (DH) protocol and Diagonal Replication in 2D Mesh (DR2M) protocol. To evaluate CBH protocol, a simulation model was implemented using Java. Our results show that for the read operations, CBH protocol improves the performance of communication cost and data availability compared to the DH and DR2M protocols.
UNIVERSITY WEBSITE ACCESSIBILITY FOR TOTALLY BLIND USERS
Authors: Hassouna Mohammed Saleh , Sahari Noraidah , Ismail Amirah 
Published: August 2020

Researchers have discovered significant faults in the accessibility of university websites, especially for visually-impaired users. To determine the requirements for totally blind users, this study conducted a comprehensive literature review and accessibility evaluation on 15 Palestinian university websites. The determined factors were used in designing an accessible web page prototype. An online questionnaire was constructed to evaluate the accessibility of the prototype from the blind users’ perspective. From the evaluation of 16 blind participants, it was found that the prototype was highly accessible (mean score 4.19). The regression analysis test was utilised to determine the relationship between the items and the main principles of accessibility. The results show that there are statistically significant differences between these items. In conclusion, the accessibility factors have been indirectly validated.
MILITARY-BASED CYBER RISK ASSESSMENT FRAMEWORK FOR SUPPORTING CYBER WARFARE IN THAILAND
Authors: Hemanidhi Aniwat , Chimmanee Sanon 
Published: August 2020

Information Technology (IT) Risk Management is designed to confirm the sufficiency of information security. There are many risk management/assessment standards, e.g. IS0 27005:2011 and NIST SP 800-30rev1, which are mainly designed for general organizations such as governments or businesses. Cyber risk assessment focused on military strategy has been rarely studied. Hence, this paper presents an innovative cyber risk assessment conceptual framework named “Cyber Risk Assessment (CRA)” which is extended from previous work with Military Risk Evaluation (MRE). This proposed CRA is the collection and integration of both quantitative and qualitative data. The Vulnerability Detection (VD) tools in Network Risk Evaluation (the previous studies) were used for the quantitative data collection and the focus group in the MRE (the proposed method) was used to collect qualitative data, which enhance the general risk assessment standard to achieve the objective of the research. The complexity of cyberspace domains with a military perspective is thoughtfully contemplated into the cyber risk assessment for national cyber security. Results of the proposed framework enable the possibility of cyber risk evaluation into score for national cyber security planning.
THERAPEUTIC SERIOUS GAME DESIGN GUIDELINES FOR STIMULATING COGNITIVE ABILITIES OF CHILDREN WITH SPEECH AND LANGUAGE DELAY
Authors: Ahmad Zaki Nadia Akma , Tengku Wook Tengku Siti Meriam , Ahmad Kartini 
Published: August 2020

The creation of an effective therapeutic serious game (TSG) is highly dependent upon its design and the fundamental knowledge of the users. Furthermore, the TSG is designed for a purpose to the users by incorporating the needs of the users in all design components. Although numerous studies have been conducted on guidelines for designing serious games, to date, studies on the specific TSG’s design guidelines for stimulating the cognitive ability of children with speech and language delay (CSLD) has yet to be comprehensively studied. Therefore, this study focuses on the set of design guidelines for the development of TSG for CSLD, specifically on cognitive stimulation. The TSG design guidelines in this paper are derived through the study of relevant literature, and best practices gained from interviews with experts in the area of speech pathology. These guidelines would be useful for researchers and game designers to design TSG for CSLD focusing on cognitive stimulation.
CONSISTENCY OF ONLINE CONSUMERS’ PERCEPTIONS OF POSTED COMMENTS: AN ANALYSIS OF TRIPADVISOR REVIEWS
Authors: Khoo Foo Sheng , Teh Phoey Lee , Ooi Pei Boon 
Published: August 2020

Ratings and comments play a dominant role in online reviews. The question, thus, arises as to whether or not there is any consistency in consumer perception of the reviews, and how future choices might be influenced. We analysed 2000 comments of 20 different hotels posted on TripAdvisor to determine if the comments posted by previous guests of a hotel influence the decisions of potential guests. Two hundred human raters were asked to consider 20 reviews and to rate a hotel based on the reviews. The Cohen Kappa coefficient was used to evaluate the degree of agreement on the hotel quality as determined by the human raters and the star rating given by the original reviewer. The results showed a high consistency between the human raters’ evaluation and the reviewers’ star rating. This research reveals the importance of website feedback such as TripAdvisor in influencing consumer choice.
A LINEAR PROGRAMMING BASED MODEL TO MEASURE EFFICIENCY AND EFFECTIVENESS OF UNDERGRADUATE PROGRAMS
Authors: Mat Kasim Maznah , Kashim Rosmaini , Mohamed Nadhar Khan Sahubar Ali 
Published: August 2020

Measuring performance of an educational program based on its academic achievement is not sufficient without considering the cost and the impact of the program. This paper aims to demonstrate the construction of a measurement model consisting of the input, output and outcome variables. The model can estimate both the efficiency and the effectiveness of undergraduate programs. After the aforementioned variables were identified for each individual efficiency and effectiveness model, a linear programming based tool, Data Envelopment Analysis (DEA) was used as the analysis method to integrate the models since it has the ability to consider all the variables simultaneously. The two models were integrated as a product, and was defined as the final model which was verified by applying it to measure the performance of 26 undergraduate programs in a university. The results show that seven programs are efficient, six programs are effective, and six programs are both efficient and effective. The model is flexible since it can be extended to include more variables or it can be modified by defining new variables in measuring efficiency and effectiveness of other programs or organizations.
ENHANCED HEURISTIC ALGORITHMS WITH A VEHICLE TRAVEL SPEED MODEL FOR TIME-DEPENDENT VEHICLE ROUTING: A WASTE COLLECTION PROBLEM
Authors: Mat Nur Azriati , Benjamin Aida Mauziah , Abdul-Rahman Syariza 
Published: August 2020

This paper proposes a vehicle travel speed model to enhance two heuristic algoritihms from previous studies, namely current initial solution (CIS) and different initial customer (DIC). Both algorithms are used to solve a real-life waste collection vehicle routing benchmark problem with dynamic travel speeds. This problem is referred to as Time-Dependent Vehicle Routing Problem (TD-VRP) in previous literature. The benchmark problem consisted of ten sub problems, involving up to 2092 customers. Previous studies solved the benchmark problem using DIC and CIS algorithms with the assumption that the vehicles are travelling with a static speed when collecting the waste. However, in this paper the static speed that was considered in both algorithms were improved by introducing dynamic travel speeds to construct vehicle routes for the waste collection drivers. Compared to previous studies the enhanced CIS and DIC with dynamic travel speeds affected the waste collection problem in terms of the number of vehicles used, the total distance travelled and the total travel time. However, different settings of speed may give different impacts to the solution. The study reveals that with a setting of dynamic speed between 40 mph and 55 mph, DIC is able to reduce two vehicles (from 98 to 96 number of vehicles used), 7.85% of total distance travelled, and 19.10% of total travel time.
THE IMPACT OF PERSUASIVE TECHNOLOGY ON USER EMOTIONAL EXPERIENCE AND USER EXPERIENCE OVER TIME
Authors: Wan Ahmad Wan Nooraishya , Mohamad Ali Nazlena 
Published: August 2020

Experience is key in deciding whether or not to adopt a system such as persuasive technology, which aims to persuade people to take up a targeted attitude or behavior. Thousands of persuasive technologies have been developed for commercial and academic uses; however, many studies on experience have mainly been conducted on products and none have focused on studying experience in the context of persuasive technologies. Therefore, this study aims to investigate emotional experience and user experience when using persuasive technology. Twenty-five participants comprising university staffs and students were given 6 weeks to use two different persuasive web applications—one on health and the other on environmental issues. A pre-post interaction approach was carried out to analyze the participants’ emotional experiences; Positive and Negative Affect Schedule (PANAS) instruments and questionnaires were used to assess user experience based on the pragmatic, hedonic, and appeal quality of the web applications. From 20 PANAS emotions, only six emotions were found to have significant impact. Although a significant change happened in user experience perceptions from the pre-interaction to post-interaction stages, no significant change happened in user emotional experience. The findings imply that the changes in user experience perceptions over time may contribute towards altering persuasion, whether by increasing or reducing persuasion via persuasive technology. As a result, this study contributes new information to the theory of designing persuasive technology such that more concern is put on the hedonic quality and appealingness of a system for greater user experience and an emotionally impactful and successful persuasion.
SUMMARIZING INDONESIAN NEWS ARTICLES USING GRAPH CONVOLUTIONAL NETWORK
Authors: Garmastewira Garmastewira , Khodra Masayu Leylia 
Published: August 2020

Multi-document summarization transforms a set of related documents into one concise summary. Existing Indonesian news articles summarizations do not take relationships between sentences into account and heavily depends on Indonesian language tools and resources. In this paper, we employ Graph Convolutional Network (GCN) which accepts word embedding sequence and sentence relationship graph as input for Indonesian news articles summarization. Our system is comprised of four main components, which are preprocess, graph construction, sentence scoring, and sentence selection components. Sentence scoring component is a neural network that uses Recurrent Neural Network (RNN) and GCN to produce the scores of all sentences. We use three different representation types for the sentence relationship graph. Sentence selection component then generates summary with two different techniques, which are by greedily choosing sentences with the highest scores and by using Maximum Marginal Relevance (MMR) technique. The evaluation shows that GCN summarizer with Personalized Discourse Graph (PDG) graph representation system achieves the best results with average ROUGE-2 recall score of 0.370 for 100-word summary and 0.378 for 200-word summary. Sentence selection using greedy technique gives better results for generating 100-word summary, while MMR performs better for generating 200-word summary.