Design of a unified data with business rules storage model for OLTP and OLAP systems

This paper reviews the literature concerning the practice of using Online Analytical Processing (OLAP) systems to recall information stored by Online Transactional Processing (OLTP) systems. Such a review provides a basis for discussion on the need for the information that are recalled through OLAP systems to maintain the contexts of transactions with the data captured by the respective OLTP system. The paper observes an industry trend involving the use of OLTP systems to process information into data, which are then stored in databases without the business rules that were used to process information and data stored in OLTP databases without associated business rules. This includes the necessitation of a practice, whereby, sets of business rules are used to extract, cleanse, transform and load data from disparate OLTP systems into OLAP databases to support the requirements for complex reporting and analytics. These sets of business rules are usually not the same as business rules used to capture data in particular OLTP systems. The paper argues that, differences between the business rules used to interpret these same data sets, risk gaps in semantics between information captured by OLTP systems and information recalled through OLAP systems. Literature concerning the modeling of business transaction information as facts with context as part of the modelling of information systems were reviewed to identify design trends that are contributing to the design quality of OLTP and OLAP systems. The paper then argues that; the quality of OLTP and OLAP systems design has a critical dependency on the capture of facts with associated context, encoding facts with contexts into data with business rules, storage and sourcing of data with business rules, decoding data with business rules into the facts with the context and recall of facts with associated contexts. The paper proposes UBIRQ, a design model to aid the co-design of data with business rules storage for OLTP and OLAP purposes. The proposed design model provides the opportunity for the implementation and use of multi-purpose databases, and business rules stores for OLTP and OLAP systems. Such implementations would enable the use of OLTP systems to record and store data with executions of business rules, which will allow for the use of OLTP and OLAP systems to query data with business rules used to capture the data. Thereby ensuring information recalled via OLAP systems preserves the contexts of transactions as per the data captured by the respective OLTP system.

Closed-loop feedback computation model of dynamical reputation based on the local trust evaluation in business-to-consumer e-commerce

Trust and reputation are important factors that influence the success of both traditional transactions in physical social networks and modern e-commerce in virtual Internet environments. It is difficult to define the concept of trust and quantify it because trust has both subjective and objective characteristics at the same time. A well-reported issue with reputation management system in business-to-consumer (BtoC) e-commerce is the “all good reputation” problem. In order to deal with the confusion, a new computational model of reputation is proposed in this paper. The ratings of each customer are set as basic trust score events. In addition, the time series of massive ratings are aggregated to formulate the sellers’ local temporal trust scores by Beta distribution. A logical model of trust and reputation is established based on the analysis of the dynamical relationship between trust and reputation. As for single goods with repeat transactions, an iterative mathematical model of trust and reputation is established with a closed-loop feedback mechanism. Numerical experiments on repeated transactions recorded over a period of 24 months are performed. The experimental results show that the proposed method plays guiding roles for both theoretical research into trust and reputation and the practical design of reputation systems in BtoC e-commerce.

B2B electronic markets: a conceptual model for analyzing the sources of business value

This paper describes research supporting the development of a conceptual model for understanding the sources of business value of Business-to-Business (B2B) Electronic Markets. Based on six case studies and an analysis of current literature, Aggregation, Matching, and Integration emerged as the three key sources of business value. The framework provides a structured and systematic approach for understanding various B2B Electronic Market models, and helps develop strategies to leverage these sources of business value.

Benchmarking e-business security : a model and framework

The dynamic nature of threats and vulnerabilities within the E-business environment can impede online functionality, compromise organisational or customer information, contravene security implementations and thereby undermine online customer confidence. To negate these problems, E-business security has to become proactive, by reviewing and continuously improving security to strengthen E-business security measures and policies. This can be achieved through benchmarking the security measures and policies utilised within the Ebusiness, against recognised information technology (IT) and information security (IS) security standards.

E-business security benchmarking : a model and framework

The dynamic nature of threats and vulnerabilities within the e-business environment can impede online functionality, compromise organisational or customer information, contravene security implementations and thereby undermine online customer confidence. To negate these problems, e-business security has to become proactive, by reviewing and continuously improving security to strengthen e-business security measures and policies. This can be accomplished through benchmarking the security measures and policies utilised within the e-business, against recognised Information Technology (IT) and Information Security (IS) security standards.

A model of business ethics

It appears that in the 30 years that business ethics has been a discipline in its own right a model of business ethics has not been proffered. No one appears to have tried to explain the phenomenon known as ‚business ethics’ and the ways that we as a society interact with the concept, therefore, the authors have addressed this gap in the literature by proposing a model of business ethics that the authors hope will stimulate debate. The business ethics model consists of three principal components (i.e. expectations, perceptions and evaluations) that are interconnected by five sub-components (i.e. society expects; organizational values, norms and beliefs; outcomes; society evaluates; and reconnection). The introduced model makes a contribution to the creation of a conceptual framework for business ethics. A few tentative conclusions may be drawn from the introduced model of business ethics. The model aspires to be highly dynamic. The ultimate outcome is dependent upon the evolution of time and contexts. It is also dependent upon and provides reference to the behaviours and perceptions of people. The model proposes business ethics to be a continuous and an iterative process. There is no actual end of the process, but a constant reconnection to the initiation of successive process iterations of the business ethics model. The principals and sub-components of the model construct the dynamics of this continuous process. They provide guidance on what and how to explore our common efforts to understand the phenomenon known as business ethics. The model provides opportunities for further research in the field of business ethics.

Business 2.0 : a novel model for delivery of business services

Web 2.0, regardless of the exact definition, has proven to bring about significant changes to the way the Internet was used. Evident by key innovations such as Wikipedia, FaceBook, YouTube, and Blog sites, these community-based Website in which contents are generated and consumed by the same group of users are changing the way businesses operate. Advertisements are no longer dasiaforcedpsila upon the viewers but are instead dasiaintelligentlypsila targeted based on the contents of interest. In this paper, we investigate the concept of Web 2.0 in the context of business entities. We asked if Web 2.0 concepts could potentially lead to a change of paradigm or the way businesses operate today. We conclude with a discussion of a Web 2.0 application we recently developed that we think is an indication that businesses will ultimately be affected by these community-based technologies; thus bringing about Business 2.0 - a paradigm for businesses to cooperate with one another to deliver improved products and services to their own customers.

A reflexive capability model for sustainable e-business environments in construction supply chains

Despite the increasing significance of e-business worldwide and construction market leaders developing innovative e-business applications, the widespread uptake in the Australian construction industry is lagging. There has been considerable literature related to e-business adoption focusing on drivers and barriers to adoption. However, there has not been an investigation that has applied fundamental supply chain theory concepts. In this paper a reflexive capability model for the individual firm in relation to e-business is developed which relies upon merging economic and social practices through an industrial organization economic theoretical lens and social science theories of communication. The reflexive
capability model proposed within this paper describes a framework for theorization of the different degrees of e-business adoption exhibited by individual firm’s and accounts for social-cultural, organisational-structural, communicative and economic (market and supply
chain) barriers, influences and pressures to adopt e-business.The model is proposed for the construction supply chain to enable awareness, engagement and realization of e-business technology and achieve long term construction e-business sustainability.

A decision-making model to choose business intelligence platforms for organizations

In recent time, technology applications in different fields, especially Business Intelligence (BI) have been developed rapidly and considered to be one of the most significant uses of information technology with special position reserved. The application of BI systems provides organizations with a sense of superiority in the competitive environment. Despite many advantages, the companies applying such systems may also encounter problems in decision-making process because of the highly diversified interactions within the systems. Hence, the choice of a suitable BI platform is important to take the great advantage of using information technology in all organizational fields. The current research aims at addressing the problems existed in the organizational decision-making process, proposing and implementing a suitable BI platform using Iranian companies as case study. The paper attempts to present a solitary model based on studying different methods in BI platform choice and applying the chosen BI platform for different decisionmaking processes. The results from evaluating the effectiveness of subsequently implementing the model for Iranian Industrial companies are discussed.

A maturity model of enterprise business intelligence

The implementation of an enterprise-level business intelligence initiative is a large-scale and complex undertaking, involving significant expenditure and multiple stakeholders over a lengthy period. It is therefore imperative to have systematic guidelines for business intelligence stakeholders in referring business intelligence maturity levels. Draw upon the prudent concepts of the Capability Maturity Model, this research proposes a multi-dimensional maturity model with distinct maturity levels for managing enterprise business intelligence initiatives. The maturity model, named Enterprise Business Intelligence Maturiy (EBIM), consists of five core maturity levels and four key dimensions, namely information quality, master data management, warehousing architecture, and analytics. It can be used to assist enterprises in benchmarking their business intelligence maturity level and identifying the critical areas to attain higher level of maturity.

Towards a business analytics capability maturity model

Business analytics (BA) systems are an important strategic investment for many organisations and can potentially contribute significantly to firm performance. Establishing strong BA capabilities is currently one of the major concerns of chief information officers. This research project aims to develop a BA capability maturity model (BACMM). The BACMM will help organisations to scope and evaluate their BA initiatives. This research-in-progress paper describes the current BACMM, relates it to existing capability maturity models and explains its theoretical base. It also discusses the design science research approach being used to develop the BACMM and provides details of further work within the research project. Finally, the paper concludes with a discussion of how the BACMM might be used in practice.

Developing a collaborative model of industry feedback for work placement of business students

Work-integrated learning (WIL) is a signature feature of study in many higher education institutions. In business degrees, industry feedback is recognized as an integral part of the assessment of WIL, yet the role played by industry in appraising student performance in the workplace has not been clearly defined. Based on interviews with industry supervisors and academic mentors, this paper addresses the integration of academic and industry supervisor assessment practices designed to maximize student learning outcomes and capture the depth of the learning experiences during a work placement. A model of industry feedback was developed to incorporate planned assessment practices that achieve the learning outcomes agreed to at the start of the placement by all stakeholders: the student, the academic mentor and the industry supervisor.