Extending IT infrastructures in the service sector organisations through enterprise resource planning – a telecom case study

Copyright @ 2012 ISEing.Service Sector Organisations (SSOs) have significantly focused on adopting and implementing Enterprise Resource Planning (ERP) systems to automate their prime business processes, enhance organisational productivity with lower costs and prompt service delivery to fulfil consumer demands. Thus, ERP systems are considered as a principal source to provide imperative information vital for strategic decision making process. On the contrary, ERP systems adoption and implementation is also highly considered as a challenging and expensive process that not only requires rigorous efforts but also demands to have an exhaustive investigation of influential factors that are critical to the adoption and implementation of ERP systems. As a result, the authors exhibit that it is of great significance to investigate this area within SSOs. In so doing, this paper thus focuses on the ERP critical success factors from five different categories such as: stakeholders; process; technology; organisation; and project based on the literature analysis. These perspectives comprise of 24 factors that are imperative for a successful ERP adoption and implementation. These factors are validated through an in-depth qualitative single case study based research. The findings from the literature and empirical demonstrate that most of the factors influencing the decision making process for ERP adoption and implementation are highly significant with exception to few that have either low or medium importance

CAHRS Partners\u27 Implementation of Artificial Intelligence

[Excerpt] The ideas and uses for Artificial Intelligence (AI) are abundant, and each business is seemingly ripe for disruption, including HR. As the hype surrounding AI continues to be championed by popular press, we began our research in order to determine whether the press’ biased view that AI was here and ready to implement was accurate. We found that in reality, AI programs were far behind the progress discussed, as the software was slower, more expensive, and there was a general lack of amalgamation throughout the industry. From there, we asked CAHRS partners to tell us where AI was used in their company, and how it helped them deliver HR differently. Our research focused on how AI technology will disrupt, change, or bolster the HR function, specifically in Talent Acquisition and Learning and Development (L&D) spaces. We found our CAHRS partners dove into AI, and represented three key points along a spectrum of AI implementation. Of the 59 participants at 32 companies, 26% are Observers, 48% are Explorers, and 26% are Implementers. Observers were companies that did not believe AI fits with their strategy, and therefore do not intend to implement AI right now. Explorers are companies that have begun to actively explore AI through industry research, vendor exploration, and piloting AI and machine learning (ML) technologies. Implementers are companies that have either built in house or worked with an external vendor to implement an AI or machine learning technology. The CAHRS partners represented such a wide range along this spectrum because there are no best practices for AI implementation. However, each of our partners that leveraged AI understood the tool, while also understanding their business needs, people, and technology, which allowed them to utilize AI technology

Extending the IS-Impact model into the higher education sector

The study addresses known limitations of what may be the most important dependent variable in Information Systems (IS) research; IS-Success or IS-Impact. The study is expected to force a deeper understanding of the broad notions of IS success and impact. The aims of the research are to: (1) enhance the robustness and minimize limitations of the IS-Impact model, and (2) introduce and operationalise a more rigorously validated IS Impact measurement model to Universities, as a reliable model for evaluating different Administrative Systems. In extending and further generalizing the IS-Impact model, the study will address contemporary validation issues

The impact of enterprise application integration on information system lifecycles

Information systems (IS) have become the organisational fabric for intra-and inter-organisational collaboration in business. As a result, there is mounting pressure from customers and suppliers for a direct move away from disparate systems operating in parallel towards a more common shared architecture. In part, this has been achieved through the emergence of new technology that is being packaged into a portfolio of technologies known as enterprise application integration (EAI). Its emergence however, is presenting investment decision-makers charged with the evaluation of IS with an interesting challenge. The integration of IS in-line with the needs of the business is extending their identity and lifecycle, making it difficult to evaluate the full impact of the system as it has no definitive start and/or end. Indeed, the argument presented in this paper is that traditional life cycle models are changing as a result of technologies that support their integration with other systems. In this paper, the need for a better understanding of EAI and its impact on IS lifecycles are discussed and a classification framework proposed.Engineering and Physical Sciences Research Council (EPSRC) Grant Ref: (GR/R08025) and Australian Research Council (DP0344682)

Strategic development of the built environment through international construction, quality and productivity management

This thesis presents a coherent, sustained and substantial contribution to the advancement of knowledge or application of knowledge or both in the field of construction management and economics. More specifically, this thesis outlines the strategic development of the built environment through lessons from international construction, quality and productivity management. The strategic role of construction in economic development is emphasized. It describes the contributions transnational construction firms made towards modern-day construction project management practices globally. It establishes the relationship between construction quality and economic development and fosters a better understanding of total quality management and quality management systems in enhancing construction industry performance. Additionally, it prescribes lessons from the manufacturing industry for construction productivity and identifies the amount of carbon emissions reduced through lean construction management practices to alleviate the generally adverse effects of the built environment on global climate change. It highlights the need for integrated management systems to enhance quality and productivity for sustainable development in the built environment. The thesis is an account of how the built environment has evolved, leveraging on lessons from international construction, quality and productivity management for improvements over the past two decades

Internet of things security implementation using blockchain for wireless technology

Blockchain is a new security system which group many data into a block or so called classifying the data into a block. The block can have many types and each of them content data and security code. By using a decentralize mechanism, one security code protect all the data. That could happen at the server. In this research, a network of wireless sensor technology is proposed. The transmission of sensor data is via the Internet of things (Internet of Thing) technology. As many data transmitted, they have to classified and group them into a block. All the blocks are then send to the central processing unit, like a microcontroller. The block of data is then processed, identified and encrypted before send over the internet network. At the receiver, a GUI or Apps is developed to open and view the data. The Apps or GUI have an encrypted data or security code. User must key in the password before they can view the data. The password used by the end user at the Apps or GUI must be equivalent to the one encrypted at the sensor nodes. This is to satisfy the decentralized concept used in the Blockchain. To demonstrate the Blockchain technology applied to the wireless sensor network, a MATLAB Simulink function is used. The expected results should show a number of block of data in cryptography manner and chain together. The two set of data. Both have the data encrypted using hash. The black dots indicate the data has been encrypted whereas the white dot indicate indicates the data is not encrypted. The half white and half black indicates the data is in progress of encrypted. All this data should arrange in cryptography order and chain together in a vertical line. A protocol called block and chain group the data into the block and then chain then. The data appears in the blocks and send over the network. As seen in the simulation results, the yellow color represents the user data. This data has a default amplitude as 1 or 5. The data is chained and blocked to produce the Blockchain waveform Keywords: Blockchain, Internet of things, Wireless Sensor Network and MATLAB Simulin

The Current Status of Business Intelligence: A Systematic Literature Review

Business intelligence has gained much attention the last few years and corporations has invested a lot of money in its operation to better prepare for the future. Studies show improvements in organizations performance both when it comes to better insight but also better decision making. Business intelligence software has made it possible for easier transformation of data. This article presents a systematic literature review on business intelligence and address the challenges and benefits of BI, along with its critical success factors.publishedVersio