Implementation Of FEDI: A Pilot Study On The Banking Industry In Malaysia

Financial Electronic Data Interchange (FEDI) refers to making cash payment electronically rather than utilizing any from of traditional payment methods such as checks The prime objective of this paper is to ascertain how is FEDI currently being implemented by10 anchor banks in Malaysia. Specifically this paper examines the current business process that facilitates transfer of payment received by banks to its various agents. The paper also examines the security or precautionary measures established by anchor banks while engaging in financial electronic data interchange

E-Procurement In Accounting: A Macro Perspective Of Selection Techniques

Selecting an E-procurement accounting package is a complex process because of rapidly changing technology and the variety of options proposed by software providers.  There are many e-procurement packages available in the market, but most of these packages simply automate the ordering process.  Using an integrated system to place orders over the Internet can save time, reduce postage and paper cost.  But without integrating e-procurement packages within a company’s finance and accounting systems, one of the largest opportunities for savings is missed out.  To achieve full advantage of e-procurement, the procurement system must be integrated not only within the financial system but also with vendors and customers. There are two main categories of e-procurement solutions: 1) buy-side and 2) marketplace.  While the full range of benefits might be better secured with buy-side procurement solutions, application costs make marketplace solutions more affordable.  For smaller companies, costs of development of buy-side solutions will most often outweigh benefits and therefore marketplace solutions will be more suitable.  For large businesses that choose buy-side solutions, careful evaluation is required in selecting the best software that can best suit the company requirements.  No matter how good a product is, users must still depend on reliable and continued support from vendors

Managing Knowledge For ESAR: An Ontology-Based Approach

Most organizations face difficult challenges in managing knowledge for crisis response, particularly in the context of emergency search and rescue (ESAR) initiatives. It is crucial for response effectiveness that such challenges be overcome.  Organizational members and numerous stakeholders must share the knowledge needed to plan for such eventualities.  They also must be able during a crisis to access relevant plans and communicate about their responses to it.  This paper examines the role and relevance of knowledge management ideals (using an ontology based approach) in support of crisis response, in general, and ESAR, in particular

Achieving Interoperability in E-government Services with two Modes of Semantic Bridging:

Abstract Data heterogeneity in the public sector is a serious problem and remains to be a key issue as different naming conventions are used to represent similar data labels. The e-government effort in many countries has provided a platform for government entities and their business partners to exchange data through Information Communication Technologies (ICT) and standards such as RosettaNet (B2B data exchange standard), EDIFACT (Electronic Data Interchange for Administration, Commerce, and Transport), XML (Extensible Markup Language) and EDI (Electronic Data Interchange). However, e-government efforts have not really resolved data heterogeneity problems significantly due to limitation of these standards. One such limitation is the inability of data inheritance. In order to solve this problem with emphasis on Service Oriented Architectures (SOA) and Web Services, a semantically enriched web service for the public sector is needed. Thus we propose an ontology-based solution which allows data inheritance and polymorphism. This goal of this paper is to show how heterogeneous e-government documents can be semantically matched. We propose a shared hierarchical knowledge repository approach and a detailed process methodology for semantic mediation. A two-part semantic mediation approach using SRS (Semantic Relatedness Scores) and SWRL (Semantic Web Rule Language) is highlighted. Both measures are complimentary and provide the semantics necessary for resolving schema heterogeneity. Our approach incorporates a rule-based engine that reads and executes SWRL rules (i.e. RacerPro). We also adopted several tools for proof-of-concept such as Protégé (i.e. ontology editor) and JESS (Java Expert Shell System)

Knowledge based emergency management information systems: Mapping DERMIS principles

Recent disasters which were composed of major floods and landslides events proved that despite past experiences and strong disaster management mechanism, life and property losses are still unavoidable.Emergency managers need a robust system that can ease the challenges faced. This paper proposes a functional system based on the working principle of The Dynamic Emergency Response Management Information Systems(DERMIS): Design Premise, Conceptual Design, System Specification and Supporting Design Considerations. These four principles are coupled with specific end-user requirements derived from our on-going work. The impact of this study on disaster management is significant to the scientific group within disaster management domain, the government agencies for policy and strategy formulations to preempt, deal with and, ultimately, improve survival rate in disaster

An Improved Methodology For Absorption Costing: Efficiency Based Absorption Costing (EBAC)

This paper presents an improved, efficiency based absorption costing method. Efficiency based absorption costing EBAC represent an algorithm that absorbs costs based on efficiency as the main driver and we compare its results with other methods such as ABC as proof-of-concept. EBAC results in significant cost changes compared to ABC and the traditional costing system (TCS). Businesses could embrace the more efficient EBAC for a host of their pertinent cost control and decision making needs. The EBAC methodology is both easy and convenient to apply as firms currently using ABC could instantly explore EBAC without the need to gather extra information

Review Of E-Commerce Issues: Consumers Perception On Security And Privacy

Web security has been a major issue of debate in the recent years. The lack of security is perceived as a major stumbling block for doing business online. Electronic cash payment systems are becoming more important than ever to facilitate online transactions and thus replacing traditional payment methods such as checks The prime objective of this paper is to determine the perception of consumers towards the security aspects of e-commerce technology. Specifically this paper examines the perception and awareness of security from the consumers standpoint especially in recent e-business processes that facilitate transfer of payment via electronic systems such as e-wallet, credit card and e-cash. The paper also examines the measures that can be taken so that the mindset of users can be changed to suit this new on-line culture

A Study Of Segment Reporting Practices: A Malaysian Perspective

With the increasing complexity of business enterprises and the growing popularity of conglomerate type businesses, it has become clear that consolidated financial statement reporting, while obviously necessary, may not necessarily provide users with sufficient insights for the making of informed decisions. Segment reporting[1] is therefore fundamentally indispensable and integral to investment analysis process (AIMR, 1993, pg 39; Berg 1990). This study highlights evidence on a fraction of Malaysian companies that do not provide any segment reports at all in contrast to their direct competitors who comply. Additionally it was found that the proprietary costs motive theory seem to hold true for the selected companies, where companies which experience high profit margin are the ones who choose not to disclose segment information. The consequences of non-disclosure of FRS 114[2] by Malaysian companies has far reaching impacts, right  from valuation of shares, to corporate governance and control mechanism (Burger and Hann, 2003; 2007). The adoption of suggestions recommended by this study is expected to solve this reporting problem to a certain extent, if not completely. The eventual outcomes of the effectiveness of the new FRS 8 in solving the problem mentioned above would be of great interest to financial analysts and general users. This could well be the direction of future research in this domain.[1] Segment reporting refers to the provision of additional disclosure in the audited annual reports [2] http://www.masb.org.m

Data Driven Models for Contact Tracing Prediction: A Systematic Review of COVID-19

The primary objective of this research is to identify commonly used data-driven decision-making techniques for contact tracing with regards to Covid-19. The virus spread quickly at an alarming level that caused the global health community to rely on multiple methods for tracking the transmission and spread of the disease through systematic contact tracing. Predictive analytics and data-driven decision-making were critical in determining its prevalence and incidence. Articles were accessed from primarily four sources, i.e., Web of Science, Scopus, Emerald, and the Institute of Electrical and Electronics Engineers (IEEE). Retrieved articles were then analyzed in a stepwise manner by applying Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISM) that guided the authors on eligibility for inclusion. PRISM results were then evaluated and summarized for a total of 845 articles, but only 38 of them were selected as eligible. Logistic regression and SIR models ranked first (11.36%) for supervised learning. 90% of the articles indicated supervised learning methods that were useful for prediction. The most common specialty in healthcare specialties was infectious illness (36%). This was followed closely by epidemiology (35%). Tools such as Python and SPSS (Statistical Package for Social Sciences) were also popular, resulting in 25% and 16.67%, respectively. Doi: 10.28991/ESJ-2023-SPER-02 Full Text: PD