Enterprise architecture development and implementation in public sector: The Malaysian perspective

Enterprise Architecture (EA) is gaining the attention from the public sector as a solution to improve the function of e-Government. However, public sector agencies are having difficulties with its development and implementation due to inflexibility and complexity of the agencies’ business function and information technology structures. The objective of this paper is to identify the challenges faced by the Malaysian public sector agencies that are in development and implementation phase of EA. In order to get the holistic perspective of EA development and implementation scenario in each organisation, a Balanced Scorecard (BSC) approach is applied. A multiple case study research approach is utilized to achieve this study objective. Data were collected through interviews with the agencies EA team, general observation during the EA workshops as well as review of EA related documents. The result shows there are twenty challenges identified which is consistent with other challenges stated in literature except for talent management issue. Thus, this provides a new insight on how the public sector should implement their EA as compared to any other organisation

A Conceptual Model for Electronic Document and Records Management System Adoption in Malaysian Public Sector

The government has spent a large amount of fortune in ascertaining that their information management practice meets the widely accepted standards of practice for enhancing the systematic, speedy, effective and efficient information service delivery. The rapid development of ICT has urged the public sector to shift their operations from manual to electronic system-based in handling the information-related works. Electronic Document and Records Management System (EDRMS) is one of the systems to be considered. However, the adoption rate of such a system is exceptionally below satisfaction due to users are not keen on using it. In this paper, the factors which influence the decision on whether EDRMS should be adopted or otherwise are identified. A qualitative study involving a critical review of the related literature in the area and interviews were employed. The interviews involve EDRMS experts from the Malaysian Administrative Modernisation and Management Planning Unit (MAMPU) and the National Archive of Malaysia (NAM). There are 14 factors identified as impacting the decision to adopt EDRMS offered by the Technology Adoption Theories and the literature review. However, only ten factors were given the consideration upon being validated and ranked by the selected experts. A new conceptual model for EDRMS adoption in Malaysian public sector was then constructed as the ultimate outcome of the study

Housing decision making technical information: an approach for improving quality housing delivery during the initiation development phase process

Incomplete communication between decision maker, proposer and secretariat happened due to time constraint and distance's factor among them in decision making process for housing development project. Consequently convenience to information becomes limited due to the restricted amount of data given by developer. The problem is to make the best decision in construction; it must come from various information sources and specialists, especially in housing where the sector is near to the public (social) objective. Due to these decision making problems, developer faces a late delivery and sick housing project conflict. This paper aims to identify the technical decision making information for housing development at the initiation phase in Malaysia. Delphi method is employed by using questionnaire survey which involved 50 private developers for the first round of data collection. However, only 34 developers contributed to the second round of the data collection process. At the last round, only 12 developers were finalised as the main contributor in the final process. As a result, the findings are work schedule, location and size of project are most necessary information in technical information part which are required during decision making for housing development among Malaysian developers. Moreover, the advancement of skill must be improved and developers should not be easily pleased with their achievement as the information technology advances at a pace we can hardly keep up with

Housing Decision Making Technical Information: An Approach for Improving Quality Housing Delivery during the Initiation Development Phase Process

Incomplete communication between decision maker, proposer, and secretariat happened due to time constraint and distance's factor among them in the decision-making process for housing development project. Consequently, the convenience of information becomes limited due to the restricted amount of data given by the developer. The problem is to make the best decision in construction; it must come from various information sources and specialists, especially in housing where the sector is near to the public (social) objective. Due to these decision-making problems, the developer faces a late delivery and sick housing project conflict. This paper aims to identify the technical decision making information for housing development at the initiation phase in Malaysia. Delphi method is employed by using questionnaire survey which involved 50 private developers for the first round of data collection. However, only 34 developers contributed to the second round of the data collection process. At the last round, only 12 developers were finalized as the main contributor in the final process. As a result, the findings are work schedule, location and size of project are most necessary information in technical information part which are required for decision making for housing development among Malaysian developers. Moreover, the advancement of skill must be improved and developers should not be easily pleased with their achievement as the information technology advances at a pace we can hardly keep up with

Factors for analysing and improving performance of R&D in Malaysian universities

This paper presents a model for analysing and improving performance of R&D in Malaysian universities. There are various general models for R&D analysis, but none is specific for improving the performance of R&D in Malaysian universities. This research attempts to fill a gap in the body of knowledge with regard to developing countries by explicitly focusing on factors that are relevant for analysing and improving R&D performance in Malaysian universities.\ud The project's methodology essentially entails a deductive route to identify and progressively refine the factors that determine R&D performance. It is based on extensive literature study aimed at developing a model that is appropriate for researching and improving R&D in an emerging economy. The paper addresses the development of the model and the research project’s approach. This model will be applied in collecting data from surveys and a number of field studies. The results will be used to improve the model as well as recommending points of improvement for Malaysian universities

Linerboard made from Soda-Anthraquinone (Soda-AQ) treated coconut coir fiber and effect of pulp beating

The performance of coir fiber in the production of linerboard made from soda-anthraquinone (soda-AQ) pulp was evaluated. Based on chemical analysis, the composition of coir fiber is suitable for the pulping process. Out of nine pulping conditions characterized, a pulping condition of 18% active alkali for 90 min cooking time was chosen. These conditions provided the highest screened yield (48.99%), a low rejection yield (0.27%), high viscosity (11.73 cP), and a kappa number (41) that is acceptable for unbleached linerboard production. Beating strengthened the coir pulp. Analyzing the beating revealed that coir pulp was optimized at 1000 to 2000 revolutions, based on a graph of freeness vs. burst index. For all beating conditions (1000 to 8000 revolutions), FESEM micrographs showed the presence of internal and external fibrillation of the fiber, which gradually increased fiber conformability and improved the inter-fiber bonding within the paper formation. Based on its burst strength of 4.57 kPa.m2/g and ring crush test of 1.76 Nm2/g, which complies with the minimum requirement of the industry standard, coir fiber can be considered an alternative fiber source for linerboard production

Minimization of tool path length of drilling process using particle swarm optimization (PSO)

In the era of challenging economic, the industry in our country has been forced to produce a good quality product and increase the productivity of machining process simultaneously in order to compete with other countries. Drrilling process is one of a very important cutting process in industry. In a drilling for machining by Computer Numerical Control (CNC) such as drilling machines, the parameter of the tool routing path for the machining operation plays a very important role to minimize the machining time (Tiwari 2013, Rao and Kalyankar 2012) . This machine can be used with procedures for drilling, spreading, weaning and threading with a lot of the holes precisely. In order to increase the efficiency and productivity of drilling process, optimization on parameters of process can lead to better performance. Optimization of holes drilling operations will lead to reduction in time order and better productivity of manufacturing systems. Optimizing the tool path has played an important role, especially in mass production because reducing the time to produce one piece eventually lead to a significant reduction in the cost of the entire series (Pezer, 2016). In various publications and articles, scientists and researchers adapted several methods of artificial intelligence (AI) or hybrid optimization method for tool path artificial immune system (AIS), genetic algorithms (GA), Artificial Neural networks (ANN) Ant Colony Optimization (ACO) and Particle Swarm Optimization (PSO) (Narooei and Ramli, 2014). These methods were been proven that can produce better performance and increase the productivity of drilling process. Therefore, in this study, the Particle Swarm Optimization (PSO) algorithm was develop in order to minimizing the tool path length in the drilling process which can produce the better results for the required machining time process. For this study, the main purpose is to apply the Particle Swarm Optimization (PSO) algorithm for use in searching for the optimal tool routing path for in simulation of drilling proces