Information systems evaluation: Mini-track introduction

abreast of technological innovations. Yet, companies are becoming more aware that a competitive advantage can not be achieved, or even maintained by utilizing the latest technology. Indeed, it is becoming more apparent that a strategic competitive advantage will not be achieved through embraced technology alone but, in the way companies approach the evaluation, management and exploitation of their human, organizational and technology based assets and infrastructure. In support of this, Sohal et al. (2001) reported the results of a large-scale survey that demonstrated the limited Information Technology (IT) enabled business benefits resulting in service and manufacturing sectors. The survey highlighted that many of the benefits achieved through adopting IT/IS were limited to improvements in productivity and cost alone. Clearly, such results are surprising given the emphasis the normative literature has placed on the strategic benefits achievable from IT/IS. As a result of the far reaching conclusions reported by Sohal et al. (2001), many organisational have begun to question the scope and depth of those IT-enabled business benefits that are not achieved by those companies proactively adopting IT/IS

Precise vehicle location as a fundamental parameter for intelligent selfaware rail-track maintenance systems

The rail industry in the UK is undergoing substantial changes in response to a modernisation vision for 2040. Development and implementation of these will lead to a highly automated and safe railway. Real-time regulation of traffic will optimise the performance of the network, with trains running in succession within an adjacent movable safety zone. Critically, maintenance will use intelligent trainborne and track-based systems. These will provide accurate and timely information for condition based intervention at precise track locations, reducing possession downtime and minimising the presence of workers in operating railways. Clearly, precise knowledge of trains’ real-time location is of paramount importance. The positional accuracy demand of the future railway is less than 2m. A critical consideration of this requirement is the capability to resolve train occupancy in adjacent tracks, with the highest degree of confidence. A finer resolution is required for locating faults such as damage or missing parts, precisely. Location of trains currently relies on track signalling technology. However, these systems mostly provide an indication of the presence of trains within discrete track sections. The standard Global Navigation Satellite Systems (GNSS), cannot precisely and reliably resolve location as required either. Within the context of the needs of the future railway, state of the art location technologies and systems were reviewed and critiqued. It was found that no current technology is able to resolve location as required. Uncertainty is a significant factor. A new integrated approach employing complimentary technologies and more efficient data fusion process, can potentially offer a more accurate and robust solution. Data fusion architectures enabling intelligent self-aware rail-track maintenance systems are proposed

A review of key planning and scheduling in the rail industry in Europe and UK

Planning and scheduling activities within the rail industry have benefited from developments in computer-based simulation and modelling techniques over the last 25 years. Increasingly, the use of computational intelligence in such tasks is featuring more heavily in research publications. This paper examines a number of common rail-based planning and scheduling activities and how they benefit from five broad technology approaches. Summary tables of papers are provided relating to rail planning and scheduling activities and to the use of expert and decision systems in the rail industry.EPSR

Open Innovation, ambiguity and technological convergence

Objectives. Current paper aims to provide a fresh conceptual framework on the relationship among open innovation, decision ambiguity, and technological convergence. We argue that there is a curvilinear relationship between open innovation and both technological convergence and ambiguity. Contained level of convergence and ambiguity foster open innovation, whilst an excess of them is an impediment to collaboration. Technological convergence further acts as a moderator for ambiguity, in light of the benefits of isomorphism. Methodology. We propose a conceptual framework for open innovation decisions after accurately reviewing the main literature antecedents. Findings. We suggest an inverse u-shaped relationship between open innovation and either ambiguity or technological convergence. Research limits. In future, the theoretical framework proposed by thus study has to be tested with robust and proper statistical techniques on large scale samples. Practical implications. The model offers a heuristic for open innovation decisions under ambiguity. Originality of the study. To the best of our knowledge, the relationship linking open innovation, technological convergence and ambiguity emerges as a literature gap. This study tackles this issue, proposing an interpretation for the analysis of alliances decision in innovation

When decision support systems fail: insights for strategic information systems from Formula

Decision support systems (DSS) are sophisticated tools that increasingly take advantage of big data and are used to design and implement individual - and organization - level strategic decisions . Yet, when organizations excessively rely on their potential the outcome may be decision - making failure, particularly when such tools are applied under high pressure and turbulent conditions. Partial understanding and unidimensional interpretation can prevent learning from failure. Building on a practice perspective, we study an iconic case of strategic failure in Formula 1 racing. Our approach, which integrates the decision maker as well as the organizational and material context , identifies three interrelated sources of strategic failure that are worth investigation for decision - makers using DSS and big data: (1) t he situated nature and affordances of decision - making ; (2) t he distributed nature of cognition in decision - making; and (3) the performativity of the DSS. We outline specific research questions and their implications for firm performance and competitive advantage. Finally, we advance an agenda that can help close timely gaps in strategic IS research

Teaching and learning mathematics and science in English in primary schools in the state of Johor, Malaysia

This article attempts to highlight the opinions of the public on the effectiveness of the use of English in teaching and learning Mathematics and Science (PPSMI) in primary schools in Johor. After nearly six years of its implementation, some people found out that the students have not demonstrated a good command of the language and the acquisition of knowledge of Mathematics and Science is seen to be declining. The teachers also do not seem to adapt well in the implementation. A group of respondents from among the headmasters and headmistress have given their views through a questionnaire and structured interview that showed the government's intention to strengthen the English language in teaching and learning Mathematics and Science did not show an impressive result. Thus, the study suggests that the government can try to give an option of using both languages in the implementation of this policy

Cordaid-IICD Health Programme Uganda:Health Management Information Systems as a Tool for Organisational Development\ud

A Health Management Information System (HMIS) can be a powerful tool to make health care delivery more effective and far more efficient. This paper describes how an HMIS can also be used for organisational development and reports on the experiences of the HMIS programme of the Uganda Catholic Medical Bureau (UCMB) in Uganda. The programme forms part of a larger programme on ICTs for health in Uganda, Tanzania and Zambia and is supported jointly by the International Institute for Communication and Development (IICD) and the Catholic Organisation for Relief and Development Aid (Cordaid). The goal of the paper is to evaluate the project against a background of organisational development and to draw practical lessons from the project that may provide guidance to new HMIS projects in the development context.\u

Evaluating the reading performance of semi-passive RFID tags to enhance locating of warehouse resources: An experiment design

Copyright @ 2011 8th European, Mediterranean and Middle Eastern Conference on Information Systems (EMCIS 2011)In the supply chain, a warehouse is a crucial component for linking all chain parties. It is necessary to track the real time resource location and status to support warehouse operations effectively. Therefore, RFID technology has been adopted to facilitate the collection and sharing of data in a warehouse environment. However, an essential decision should be made on the type of RFID tags the warehouse managers should adopt, because it is very important to implement RFID tags that work in warehouse environment. As a result, the warehouse resources will be easily tracked and accurately located which will improve the visibility of warehouse operations, enhance the productivity and reduce the operation costs of the warehouse. Therefore, it is crucial to evaluate the reading performance of all types of RFID tags in a warehouse environment in order to choose the most appropriate RFID tags which will enhance the operational efficiency of a warehouse. Reading performance of active and passive RFID tags have been evaluated before while, semi-passive RFID tag, which is battery-assisted with greater sensitivity than passive tags and cheaper than active tags, has not been examined yet in a warehouse environment. This research is in- progress research and it is aiming to perform tests for evaluating the reading performance of semi-passive RFID apparatus to provide an extensive RFID performance comparison for formulating an efficient RFID solution in warehousing environment

Ecorestore: Decision Support System to Restore the Productivity of Degraded Rangelands in Southern Africa

Land degradation is a multifaceted problem that affects the agricultural productivity of land due to a loss of vegetation cover and can often be ascribed to bush encroachment in savanna and grassland rangelands. Bush encroachment entails the increase in abundance and density of indigenous and alien woody vegetation (i.e. shrub thickening), which has a negative impact on the tree-grass ratio, biodiversity, as well as on a range of ecosystem services that affect the well-being of land users, often causing an increase in poverty and the introduction of non-sustainable land management practices, especially in arid- and semi-arid regions mostly affected by climate change. In response, the North-West University, in collaboration with the Natural Resource Management (NRM) programme of the South African Department of Environment, Forestry and Fisheries (DEFF) and consultants, developed the Bush Expert Information Management System (BEIMS) that will help land users to make scientifically sound decisions regarding the restoration/rehabilitation and sustainable management of degraded land. The core components of the BEIMS are the EcoRestore Decision Support System (DSS) that contains guidelines for restoration after bush control and the Bushmon database that contains information (including spatial location) of bush encroachment restoration research projects. The BEIMS (abbreviated as Bush Expert) is a cloud-based, easily accessible online system which can also be linked to a standalone Global Information System via a spatial database link. Stemming from the BEIMS, the EcoRestore DSS can provide scientifically assessed information on projects where restoration technologies have been applied – including aerial photography that track the before and after successes of restoration/rehabilitation processes. To follow is a discussion of the results of a number of restoration applications derived with the aid of BEIMS, with due consideration for the current functionality and accessibility of the system

An intelligent framework and prototype for autonomous maintenance planning in the rail industry

This paper details the development of the AUTONOM project, a project that aims to provide an enterprise system tailored to the planning needs of the rail industry. AUTONOM extends research in novel sensing, scheduling, and decision-making strategies customised for the automated planning of maintenance activities within the rail industry. This paper sets out a framework and software prototype and details the current progress of the project. In the continuation of the AUTONOM project it is anticipated that the combination of techniques brought together in this work will be capable of addressing a wider range of problem types, offered by Network rail and organisations in different industries