Scenarios in Strategic Information Systems Management

Today’s CIO is faced with an increasingly complex business environment, making the strategic management of information systems (IS) a daunting task. Technological change, shifting customer needs and wants, and the trend toward globalization are just a few of the external factors that impact IS strategy during the formulation stage. Scenario planning is a technique that has been used in strategy formulation for decades in both industry and government. A review of the literature reveals a wide range of areas in which scenarios are being applied in the context of IS management. Examples involving industry trends, emerging technologies, IT project management, and systems analysis and design are presented. This paper links the inclusion of scenario planning as an integral component IS strategy development. A case study from the telecommunication industry demonstrates its value as a means to support IS strategy

Strategic communication in the modern hybrid warfare

In today’s world, the combination of propaganda, disinformation, psychological pressure, and attacks on information and communication systems pose a danger no less than conventional armament. Productive scenarios for counteracting hybrid threats are based on the use of modern technologies of strategic communications, management of subjects of military conflicts, and information processing. This article is aimed at analyzing the basic concepts of modern hybrid warfare and finding place, purpose, objectives, and features of strategic communications. An integrated use of strategic communications and reflexive control technologies is proposed to develop hybrid warfare scenarios

A proposal on how to apply the balanced scorecard to the collective investment managerial firms

lity. Consequently these firms need to reformulate their strategic forecast for the next years. This need arises, among other factors, from the collapse of global financial markets, progressive liberalizations in tax and company regulation and the evolution in information technology. Collective investments are very appealing for small investors, as they allow them to benefit from the skills of a professional management, as well as to spread different risks with a diversified portfolio in the different mutual funds. Nevertheless in moments of crisis such as the world is experiencing now, the great volatility of markets and capital losses clearly offset the attractiveness of the portfolio management. The starting point is to take into account the new scenario now developing in collective investment management firms: increasing competence, less captive clients, a more independent sales force, and decrease in their P&L account. With this background we propose to use a planning tool that, in the last ten years, has proven itself to be a great help in improving the management of the firms. The aim is to identify their core activities in order to define a better strategy, gain new clients, and improve the quality of their services. The final purpose is to increase their return on investment. Taking into account all the above mentioned reasons we have considered the collective investment management firms in Spain a good field to apply Balanced Scorecard as a device to improve management control . In our research paper, we propose a balanced scorecard model, exploring three possible strategic scenarios, together with an operating simulation of this device with a five years´scope for these type of firms. To obtain this model we have used dynamic systems theory and other information technology instruments.

Enterprise Architecture, an enabler of change and knowledge management

Organizations around the world require a sound process of change management to innovate and remain competitive over time. Change and knowledge management needs to be supported with the right tools to overcome the challenges of transformations and transitions in the business models and processes of diverse organizations. Steering boards can use enterprise architecture (EA) to implement new knowledge management initiatives in their strategic planning. EA allows companies to model the current situation (as-is models) of the organization and the desired future scenarios (to-be models) and to establish road maps to enable adequate transformations. Different frameworks exist in the market that support the management of organizations, for example: Control Objectives for Information and Related Technologies (COBIT), Information Technology Infrastructure Library (ITIL), quality models such as the one proposed by the European Foundation for Quality Management (EFQM) and systems such as the Balanced Scorecard (BSC) are widely used for the management of business and information technologies (IT).  However, EA is not widely used with the other mentioned tools. This paper analyzes EA as a tool for change and knowledge management and compares its functionality with other frameworks in the market. The analysis performed in this paper checks if EA can be used and is compatible with other frameworks. To answer this question, an analysis of the most important processes, good practices, perspectives and tools provided by each framework was performed

Lunar Exploration Architecture Level Key Drivers and Sensitivities

Strategic level analysis of the integrated behavior of lunar transportation and lunar surface systems architecture options is performed to assess the benefit, viability, affordability, and robustness of system design choices. This analysis employs both deterministic and probabilistic modeling techniques so that the extent of potential future uncertainties associated with each option are properly characterized. The results of these analyses are summarized in a predefined set of high-level Figures of Merit (FOMs) so as to provide senior NASA Constellation Program (CxP) and Exploration Systems Mission Directorate (ESMD) management with pertinent information to better inform strategic level decision making. The strategic level exploration architecture model is designed to perform analysis at as high a level as possible but still capture those details that have major impacts on system performance. The strategic analysis methodology focuses on integrated performance, affordability, and risk analysis, and captures the linkages and feedbacks between these three areas. Each of these results leads into the determination of the high-level FOMs. This strategic level analysis methodology has been previously applied to Space Shuttle and International Space Station assessments and is now being applied to the development of the Constellation Program point-of-departure lunar architecture. This paper provides an overview of the strategic analysis methodology and the lunar exploration architecture analyses to date. In studying these analysis results, the strategic analysis team has identified and characterized key drivers affecting the integrated architecture behavior. These key drivers include inclusion of a cargo lander, mission rate, mission location, fixed-versus- variable costs/return on investment, and the requirement for probabilistic analysis. Results of sensitivity analysis performed on lunar exploration architecture scenarios are also presented

Construction IT in 2030: a scenario planning approach

Summary: This paper presents a scenario planning effort carried out in order to identify the possible futures that construction industry and construction IT might face. The paper provides a review of previous research in the area and introduces the scenario planning approach. It then describes the adopted research methodology. The driving forces of change and main trends, issues and factors determined by focusing on factors related to society, technology, environment, economy and politics are discussed. Four future scenarios developed for the year 2030 are described. These scenarios start from the global view and present the images of the future world. They then focus on the construction industry and the ICT implications. Finally, the preferred scenario determined by the participants of a prospective workshop is presented

Exploiting Qualitative Information for Decision Support in Scenario Analysis

The development of scenario analysis (SA) to assist decision makers and stakeholders has been growing over the last few years through mainly exploiting qualitative information provided by experts. In this study, we present SA based on the use of qualitative data for strategy planning. We discuss the potential of SA as a decision-support tool, and provide a structured approach for the interpretation of SA data, and an empirical validation of expert evaluations that can help to measure the consistency of the analysis. An application to a specific case study is provided, with reference to the European organic farming business

Modeling Clinical Pathways - Design and Application of a Domain-Specific Modeling Language

Networking and collaboration in clinical care are increasingly entailing new requirements on supporting medical processes. The information technology (IT) in public health accordingly earns strategic relevance and encounters new potentials as well as challenging demands. The application of conceptual models in health care domain is almost entirely restricted to documentation tasks. Approaches like Model-Driven-Architectures or Workflow Management Systems have shown that the application of models, e.g. transformation, execution and formal interpretation, has huge potential. This article presents a modeling language for modeling clinical pathways. Three scenarios show the potential of conceptual models in health care domain and provide foundations for language requirements. Presenting a state-of-the-art of modeling languages for clinical domain and evaluating existing approaches to the requirements provide the gap to develop a domain-specific language. The potentials of the language and the use of corresponding models in medical treatment are demonstrated exemplarily including a discussion on model-driven management

Techniques for assessing the investment attractiveness of a commercial organization based on classical methods of strategic economic analysis

Purpose: The development of methodological support for assessing the investment attractiveness of a commercial organization, considering modern information requests of stakeholders. Design/Methodology/Approach: As part of the research, the authors have developed an algorithm for investment attractiveness assessment of a commercial organization by using the scenario method of economic analysis. Findings: It is proved that the main disadvantages of the existing methods of assessing investment attractiveness are: the lack of strategic orientation of the assessment; ignoring the influence of most external and internal factors of activity; the inability to assess the risk of investing in the analyzed object; the need to compare with the level of investment attractiveness of similar organizations for an objective interpretation of the results. Practical implications: To eliminate the significant shortcomings of modern methodological support in this area, the authors recommend the use of scenario method of strategic economic analysis in the process of assessing the investment attractiveness of the organization. Originality/Value: The scenario method of strategic economic analysis proposed by the authors complements the existing approaches with the ability to take into account potential risks when making a far-sighted decision to invest in an organization by combining the results of retrospective analysis and forecasting changes in the quantitative and qualitative characteristics of financial and economic activity.peer-reviewe