A Mashup Application to Support Complex Decision Making for Retail Consumers

Walczak, Steven; Kellogg, Deborah L.; Gregg, Dawn G.

doi:10.4018/jisss.2010100103

Cited by 10 publications

(4 citation statements)

References 51 publications

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“…Decision making effectiveness can bring about organizational durability and prosperity. Thus, the effective employment of the appropriate strategic decisions can help to ensure the process viability of a business (Moundalexis & Nag, 2013;Walczak, Kellogg & Gregg, 2010). Hence, in the Business Intelligence (BI) literature, there are three approaches relating to storing data in a Data Warehouse (DW): the top down approach (Raffaeà, Leonardi, Marketos, Andrienko, Andrienko, Frentzos, Giatrakos, Orlando, Pelekis, N., Roncato & Silvestri, 2011;Tryfona, Busborg & Christiansen, 1999), the bottom up approach (Kimball, Reeves, Ross & Thornthwaite, 1998) and the middle out approach (Sapia et al, 1998;Eckerson, 2007;Yao & Wang, 2009).…”

Section: State Of the Artmentioning

confidence: 99%

Moving Beyond Traditional Decision Support Systems

Azaiez

Akaichi

Hsu

2017

International Journal of Information Systems and Social Change

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Integrating the concept of mobility into the professional and organizational realm offers the possibility of reducing geographical disparities related to organization services. The advances made in technology, geographic information systems and pervasive systems equipped with global positioning (GPS) technologies have been able to bring about an evolution from classic data approaches towards the modeling of trajectory data resulting from moving activities of moving objects. As such, trajectory data needs first to be loaded into a Data Warehouse for analysis purposes. However, the traditional approaches used are poorly suited to handle spatio-temporal data features and also the decision making tasks related to mobility issues. Because of this mismatch, the authors propose to move beyond traditional approaches and propose a repository that is able to analyse trajectories of moving objects. Improving decision making and extracting pertinent knowledge with reduced costs and time expended are the main goals of this revised analysis approach. Thus, the authors propose an approach in which they employ the Bottom-up approach to modeling a Decision Support System which is designed to support Trajectory Data. As an example to illustrate this approach, the authors use a creamery and dairy milk mobile cistern application to demonstrate the effectiveness of their approach.

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Section: State Of the Artmentioning

confidence: 99%

Moving Beyond Traditional Decision Support Systems

Azaiez

Akaichi

Hsu

2017

International Journal of Information Systems and Social Change

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“…Decision making effectiveness is responsible for the organisation DSS durability and its material prosperity. Thus, the appropriate strategic decisions can keep a business alive (Moundalexis & Nag, 2013;Walczak, Kellogg & Gregg, 2010). Consequently, a DW must be adaptable to all changes which may affect it.…”

Section: Towards Trajectory Decision Support System Evolution Handlingmentioning

confidence: 99%

What is the Impact of Mobility Data Integration on Decision Support Systems' Modelling and Evolution?

Azaiez

Akaichi

2016

International Journal of Information Systems in the Service Sector

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Classic data seems unable to keep pace with the technology era. In fact, the incredible progress related to geographic information systems, pervasive computing, and positioning technologies have motivated classic data to evolve towards new data kind called mobility data. For decisional purposes, these later have to be analysed; therefore, their integration into a decision support system becomes a must. However, the data warehouse used to store classical data seems to be inadequate for mobility data storage and analysis. This gave the birth of a new central repository type called trajectory data warehouse which is able to support mobility data extraction, transformation, loading, and analysis and/or mining. As classic data warehouses, the trajectory one often changes its content as well as its structure for various reasons such as the organizational business processes progressing over time, the evolving needs of decision makers that lead to DW structure enrichment with additional analyses axes, or even the incompleteness of needs initially captured during the design phase of the DW . This work proposes a survey that gathers the research works that deal with the issue of trajectory data warehouse modelling and evolution; then the authors present comparative study of the proposed solutions.

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“…Again, these tools can be chained together to form a process, but no assistance is provided to the facilitator on how best to form this process, helping him or her select and tie together meeting activities. Information systems can support complex decision making, reducing information overload and improving decision quality (Walczak et al, 2010).…”

Section: Meeting Workmentioning

confidence: 99%

Tools to Assist Meeting Planning

Vivacqua

Ferreira

Souza

2013

International Journal of Information Systems in the Service Sector

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Meetings take up a large amount of time, especially at the upper managerial levels. To help meetings progress smoothly and reach desired goals, meeting facilitators are frequently called in. Facilitators have at their disposal a number of techniques, including thinkLets. Through the use of thinkLets, facilitators can plan the meeting beforehand, deciding which activities to perform at each point. However, even with the use of thinkLets, designing a meeting is not an easy task, in particular for novice facilitators. A number of considerations must be made when selecting activities and designing the meeting dynamics. In this paper, the authors discuss this problem and present a framework and a system to assist the design of meetings, electronic or otherwise, using thinkLets and compatibility rules. The framework implements rules to help facilitators select and link thinkLets together in and orderly fashion, designing the meeting in the process.

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A Mashup Application to Support Complex Decision Making for Retail Consumers

Cited by 10 publications

References 51 publications

Moving Beyond Traditional Decision Support Systems

Moving Beyond Traditional Decision Support Systems

What is the Impact of Mobility Data Integration on Decision Support Systems' Modelling and Evolution?

Tools to Assist Meeting Planning

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