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Tona, Olgerta, et al.
(författare)
The Impact of the Organizing Vision on Mobile BI Adoption
2014
Ingår i: DSS 2.0 – Supporting Decision Making with New Technologies. - 0922-6389. - 9781614993988 ; 261, s. 303-313
Konferensbidrag (refereegranskat) abstract
Mobile Business Intelligence (m-BI) enhances the capabilities of organizations to take decisions 'on-the-move'. M-BI emerged as an extension of BI and many companies have or are considering implementing it. Being an innovation, m-BI reflects an organizing vision, created by a broad community, which is prominent during the comprehension process of this innovation. Little is known how the organizing vision affects the decision to adopt a certain innovation, and moreover these studies are completely lacking within the m-BI area. A qualitative approach has been embraced and interviews with different organizations that have already decided to adopt m-BI have been conducted. This study revealed that industrial research reports, vendors marketing campaigns and success stories produced by the collaboration among vendors, analysts, journalist and early adopters have a strong influence on the early phases of the organizational decision-making process to adopt m-BI. Increasing internal and external legitimacy, reducing the risk to be left behind, gaining competitive advantage, following the footsteps of high-performing companies, increasing their prestige and reputation, are the main reasons for why organizations may start the decision-making process to adopt m-BI; all this under the umbrella of the organizing vision.
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Andersson, Bo
(författare)
Harnessing Handheld Computing - Framework, Toolkit and Design Propositions
2012
Doktorsavhandling (övrigt vetenskapligt/konstnärligt) abstract
The rapid development of handheld technologies such as smartphones and personal digital assistants in recent years has created opportunities for the mobile workforce to take advantage of computerised information systems. To apprehend and harness the opportunities of computerised information systems implemented on handheld devices it is crucial to fully understand the user group and the handheld technology. However, there is a lack of comprehensive frameworks and toolkits supporting designers of computerised handheld information systems for the mobile workforce. The aim of this dissertation is to address this issue by developing both a framework and a toolkit for use early in the design process. To develop and evaluate the framework and the toolkit, various qualitative methods such as interviews, artefact studies, and experiments were applied for assessing both users’ and designers’ views on handheld computing. The analysis is made from a designers’ perspective and based on the entities, user, application, context and technologies. The proposed accentuated factors framework is a comprehensive framework of fifteen factors, evaluated and approved by experienced practitioners. The HISD Toolkit presented is based on the accentuated factors framework and supported by the design propositions Least Common Denominator, Flexible Forms, Tune-In and Defensive Design, which are also presented in this dissertation. The main implication for research is the use of the accentuated factors framework in analysis of handheld computing. The main implications in practice are the use of the HISD Toolkit in the design of handheld information systems, in the teaching of handheld computing, and in the evaluation of existing systems as in the procurement of computerised handheld information systems. The study has been supported by the Swedish Research School of Management and Information Technology (MIT)
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Bdeir, F, et al.
(författare)
Inter-Organizational Coordination of H1N1 outbreak: Data Collection, and Analyses of a Pilot Field Study
2014
Ingår i: Journal of Decision Systems. - : Informa UK Limited. - 2116-7052 .- 1246-0125. ; 23:2, s. 151-166
Tidskriftsartikel (refereegranskat) abstract
Improving effectiveness in response to H1N1 outbreaks requires us to understand how different organisations within the outbreak coordination network work collectively to share information needed to operate at optimal level. Research for developing reliable framework for the collection of inter-organisational coordinated response data and its impact on decision-making and support system for disease outbreak is lacking to date. We introduce a pilot field study using social networks based approach to capture H1N1 inter-organisational coordination data by introducing qualitative questionnaire and quantitative survey, which resulted in discovering the hidden social networks of coordination. Here, we propose a schema that can be used to classify the quantitative data collection and preparation for further empirical analysis, and suggest that lessons learned from this can be applied to explore possible data collection and analysis for other types of natural and man made crises.
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Bednar, Peter, et al.
(författare)
Supporting Business Decision-making: One Professional at a Time
2014
Ingår i: DSS 2.0 – Supporting Decision Making with New Technologies. - 9781614993988 - 9781614993995 ; 261, s. 471-482
Bokkapitel (refereegranskat) abstract
This paper discusses the potential for personalized, user-owned decision-support systems. It can be readily seen that there are benefits from analysis of ‘Big Data’ that could not be attained through more traditional means, e.g. insurance and credit card fraud can be detected more readily when it is possible to analyze integrated data across multiple servers owned and controlled by separate organizations. However, high-level data analysis, though useful, cannot be trusted to provide all the answers to organizational ‘questions’. Individuals need to be able to inform themselves in complex decision situations and for this purpose there can be no substitute for ‘little data’ from wherever this is to be drawn. We explore a potential type of support that could overcome the barriers to professional creativity arising through lack of trust in decision-support systems owned and controlled from senior management. The Virtual Personal Assistant described uses natural language processing to interact with a professional user in the context of messy, situated problems, and in private. It has capability to learn from user-interactions and therefore to co-evolve contextually. A ‘little data’ system such as this can therefore help to improve relevance of user understandings in a relatively risk free environment.
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