7 research outputs found

    Mobile Business Intelligence Usage Patterns

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    The generation of new mobile devices and the need to make decisions ‘on the move’ led to a new technology coined as mobile business intelligence (m-BI). M-BI is different from traditional BI in terms of user profiles, level of analytics and functionalities. Although there is a growing interest from both practitioners and academics, very little is known about m-BI in general and even less on its usage. A case study research is conducted to explore how m-BI usage patterns emerge and develop. M-BI is used to investigate after a trigger, monitor real-time data, control and support liminality. Users engage with usage patterns based on the their mode (lean back or lean forward) and attention scope (narrow or wide). However, usage patterns developed are not static because m-BI users engage continuously with different usage patterns when shifting among different modes and attention scopes

    Factors affecting decision making effectiveness in Palestinian Banks

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    This study investigated the influence of information quality on decision-making effectiveness among Palestinian bank managers. Previous studies revealed the importance of information quality on decision-making effectiveness in different fields of management. Organisational structure was found to moderate information quality and decision-making effectiveness in different fields of management. However, the moderating effect of organisational structure on the relationship between information quality on decision-making effectiveness had not been addressed in the banking sector in Palestine. This cross-sectional quantitative study examined the relationship between information quality and decision-making effectiveness as being moderated by organisational structure. A total of 146 managers were surveyed in which they were required to respond to 55 items that elicited the three variables. Information quality was represented by six dimensions, organisational structure three dimensions, and decision-making effectiveness three dimensions. The data were analysed by SPSS and PLS-SEM software. The findings indicated the relevance and importance of information quality dimensions to decision-making effectiveness in the banking sector of Palestine. The result revealed four dimensions of information quality, namely, accuracy, completeness, relevancy and interpretability had a significant relationship with decision-making effectiveness. Two dimensions of organisational structure, namely, formality and centralisation, significantly moderated the relationship between information quality and decision-making effectiveness while complexity did not show a moderating effect. Overall, this study extends the understanding of the decision- making effectiveness. It contributes to building the model of the relationship between information quality and decision-making effectiveness in the banking industry. These findings will benefit bank managers in Palestine to understand the role of information quality better and utilise it towards developing sustainable banking services in Palestine

    Paradoxos vivenciados pelo uso das tecnologias móveis no processo individual de tomada de decisão

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    O crescimento do uso das Tecnologias da Informação Móveis e Sem Fio (TIMS) nas organizações tem viabilizado cada vez mais o trabalho móvel, trazendo tanto benefícios quanto desafios aos processos de trabalho. O objetivo desta pesquisa foi compreender quais são os paradoxos vivenciados com o uso de TIMS na tomada de decisão individual em contexto de mobilidade. Foi realizada uma pesquisa qualitativa por meio de um grupo focal e entrevistas semiestruturadas, com um total de 26 participantes (executivos e gestores de nível intermediário) que tomam decisões nesse contexto. Os resultados corroboram paradoxos já identificados na literatura, e que se manifestam nos processos de tomada de decisão em contexto de mobilidade: Ocupado e Disponível, Planejamento e Improvisação, Engajamento e Desengajamento, Competência e Incompetência. Além disso, novos paradoxos foram identificados: Pessoal e Profissional, Maior Colaboração e Menos Face a Face, Decisões mais Ágeis e Decisões com Maior Exposição ao Erro

    Quality of data model for supporting mobile decision making

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    This paper describes research towards implementation of a mobile decision support system. Our view is that the mobile decision maker will benefit if provided with a measure of the Quality of the Data (QoD) used in deriving a decision, and how QoD improves or deteriorates while he/she is on the move. We propose a QoD model taking into account static and dynamic properties of the mobile decision context, and use multicriteria decision analysis to represent decision model and derive a QoD measure. A prototype mobile decision support system has been developed to investigate the usefulness of the proposed QoD model

    Quality of data model for supporting mobile decision making

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    This paper describes research investigating ways in which a mobile decision support system might be implemented. Our view is that the mobile decision maker will be better supported if he/she is aware of the Quality of the Data (QoD) used in deriving the decision, and how QoD improves or deteriorates while he/she is on the move. We propose a QoD model that takes into account static and dynamic properties of the mobile decision making environment, use multicriteria decision analysis to represent the user’s decision model and to derive a single QoD parameter, and investigate use of powerful graphics to relay information to the user.<div><br></div><div>Presented at: IFIP International Conference on Decision Support Systems; 2004 Jul 1-3; Prato, Italy. p. 372-380.</div><div><br></div><div>Rights: Hodgkin, J., San Pedro, J., Burstein, F. © 2004. The authors grant a non-exclusive licence to publish this document in full in the DSS2004 Conference Proceedings. This document may be published on the World Wide Web, CD-ROM, in printed form, and on mirror sites on the World Wide Web. The authors assign to educational institutions a non-exclusive licence to use this document for personal use and in courses of instruction provided that the article is used in full and this copyright statement is reproduced. Any other usage is prohibited without the express permission of the authors.</div

    Quality of data model for supporting mobile decision making

    No full text
    This paper describes research investigating ways in which a mobile decision support system might be implemented. Our view is that the mobile decision maker will be better supported if he/she is aware of the Quality of the Data (QoD) used in deriving the decision, and how QoD improves or deteriorates while he/she is on the move. We propose a QoD model that takes into account static and dynamic properties of the mobile decision making environment, use multicriteria decision analysis to represent the user’s decision model and to derive a single QoD parameter, and investigate use of powerful graphics to relay information to the user
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