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COLLABORATIVE DECISION SUPPORT
SYSTEMS: CLOUD, MOBILE AND SOCIAL
APPROACHES
Claudiu BRANDAS
West University of Timisoara
c...
Content
1. Introduction
2. Literature review
3. Research methodology
4. Results and discussions
Introduction
 Currently, cloud and mobile technologies,
combined with social networks have a
significant impact in the de...
 From an organizational perspective,
we can emphasize that fact that most
decision-making processes have a
group characte...
 To determine the potential that these
technologies can offer regarding
Decision Support Systems in
collaborative decisio...
Literature review
 The integration of cloud computing
and mobile technologies in
collaborative decision-making
processes ...
 Thimm (2012) described the design of
a cloud-based collaborative decision-
making support system entitled
GROPO-MOD Syst...
 Radu et al. (2014) presented a
collaborative and cloud-based group
decision support system entitled iDS.
According to th...
 Regarding the integration of the social
networks in the DSS, we can mention
the papers of Antunes and Costa [1]
[2], who...
Results and discussions
 Cloud-Based DSS
◦ Application and infrastructure level:
requires the use of cloud computing
tech...
◦ Concept and DSS paradigm level: cloud
computing technologies and models allow
the development of decision-making
clouds ...
 Mobile Technologies and DSS: this
involves the use of mobile
technologies within a cloud
infrastructure by the network o...
 Social Networks and DSS: this
involves the use of social networks to
create decision-making clouds based
on decision-mak...
 Scenarios and models of using cloud
computing, mobile technologies and
social networks in cloud-based
Collaborative Deci...
 (2) Scenario based on the Two-Tier
Cloud-Based Collaborative Decision
Support System Model.
 (3) Scenario based on the Three-Tier
Cloud-Based Collaborative Decision
Support System Model. In this
scenario, the thir...
 SWOT Analysis of cloud computing, mobile technologies and social
networks impact on Collaborative DSS
Conclusions
 The development of cloud computing,
mobile technologies and social
networks has a significant impact on
coll...
 The results of this research have
shown that:
◦ cloud computing is the most used
technology for developing collaborative...
 As further applied research, we want
to develop a prototype of Cloud-Based
Hybrid Decision Support System for
commercial...
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COLLABORATIVE DECISION SUPPORT SYSTEMS: CLOUD, MOBILE AND SOCIAL APPROACHES

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Conference presentation: The 13th International Conference on Informatics in Economy (IE 2014)

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COLLABORATIVE DECISION SUPPORT SYSTEMS: CLOUD, MOBILE AND SOCIAL APPROACHES

  1. 1. COLLABORATIVE DECISION SUPPORT SYSTEMS: CLOUD, MOBILE AND SOCIAL APPROACHES Claudiu BRANDAS West University of Timisoara claudiu.brandas@e-uvt.ro Otniel DIDRAGA West University of Timisoara otniel.didraga@e-uvt.ro The 13th International Conference on Informatics in Economy (IE 2014)
  2. 2. Content 1. Introduction 2. Literature review 3. Research methodology 4. Results and discussions
  3. 3. Introduction  Currently, cloud and mobile technologies, combined with social networks have a significant impact in the development of support systems for collaborative decision- making process within or outside organizations.  These technologies support: ◦ (1) the development of contextual- or subject- based decision makers grouped in a global network of brains; ◦ (2) the development and implementation of hybrid support systems like Cloud-Based Collaborative Decision Support Systems.
  4. 4.  From an organizational perspective, we can emphasize that fact that most decision-making processes have a group character based on collaboration and consensus [4].  On the other hand, the development of social networks has created an environment in which individuals, grouped in the communities, justify their decisions according to the behaviour and opinions of the community.
  5. 5.  To determine the potential that these technologies can offer regarding Decision Support Systems in collaborative decision-making processes requires a detailed analysis of the processes, scenarios, risks and limits of these systems.  In this paper, we conducted a study on current research and applications regarding the use of cloud computing, social networks and mobile technologies in the field of Decision Support Systems, Including a SWOT analysis.
  6. 6. Literature review  The integration of cloud computing and mobile technologies in collaborative decision-making processes is a recent topic, and it is too little addressed in the literature. Most approaches are practical and experimental prototype-based decision support systems based on these technologies [11] [13] [6] [8] [9].
  7. 7.  Thimm (2012) described the design of a cloud-based collaborative decision- making support system entitled GROPO-MOD System. According to the author, the system is designed to support a model-driven collaborative decision-making approach based on business process models with moderation elements and to support a cloud computing approach [14].
  8. 8.  Radu et al. (2014) presented a collaborative and cloud-based group decision support system entitled iDS. According to the authors, this Decision Support System will be based on a Business-as-a-Service cloud computing model [12].
  9. 9.  Regarding the integration of the social networks in the DSS, we can mention the papers of Antunes and Costa [1] [2], who analyzed the influence of the social network concepts (technical infrastructure, online communities, network analysis, and knowledge management) on DSS and traditional decision-making phases (intelligence, design and choice).
  10. 10. Results and discussions  Cloud-Based DSS ◦ Application and infrastructure level: requires the use of cloud computing technologies and models for the development and implementation of decision support systems for collaborative decision-making process support [14] [12] [11].The most important cloud service model for the development and use of collaborative decision support systems is BaaS (Business-as-a-Service).
  11. 11. ◦ Concept and DSS paradigm level: cloud computing technologies and models allow the development of decision-making clouds based on a global collaborative network of brains and decision-making applications.  Within these complex structures, decision- makers are decision points that contribute to collective decision-making or they are the basis for individual decisions based on collective decisions. These structures can be organized into contextual clusters depending on the area in which decision making occurs (e.g. trade, finance, medical, IT, social, etc.).
  12. 12.  Mobile Technologies and DSS: this involves the use of mobile technologies within a cloud infrastructure by the network of decision-makers in order to participate in collaborative decision-making processes. Through these technologies, decision-makers can be permanently connected to the decision-making clouds.
  13. 13.  Social Networks and DSS: this involves the use of social networks to create decision-making clouds based on decision-maker communities of practice and knowledge. The social networks can be used for decision- making sharing and consensus or voting process.
  14. 14.  Scenarios and models of using cloud computing, mobile technologies and social networks in cloud-based Collaborative Decision Support Systems: ◦ (1) Scenario based on the One-Tier Cloud-Based Collaborative Decision Support System Model.
  15. 15.  (2) Scenario based on the Two-Tier Cloud-Based Collaborative Decision Support System Model.
  16. 16.  (3) Scenario based on the Three-Tier Cloud-Based Collaborative Decision Support System Model. In this scenario, the third level consists of intelligent agents for assisting decision-making within collaborative cloud-based decision-making processes.
  17. 17.  SWOT Analysis of cloud computing, mobile technologies and social networks impact on Collaborative DSS
  18. 18. Conclusions  The development of cloud computing, mobile technologies and social networks has a significant impact on collaborative decision-making processes.  We can note that the paradigm of the collaborative decision-making process can rely on a global network of brains based on cloud, mobile and social networks.
  19. 19.  The results of this research have shown that: ◦ cloud computing is the most used technology for developing collaborative decision support systems and creating decision-making clouds; ◦ mobile technologies allow real-time access to the decision-making process for decision-makers in the decision cloud; ◦ social networks are a complex development environment for decision- maker communities in the form of clusters in areas of decision-making and sharing the context and decision-making processes.
  20. 20.  As further applied research, we want to develop a prototype of Cloud-Based Hybrid Decision Support System for commercial collaborative decision- making. This system will be developed based on the Two-Tier Cloud-Based Collaborative Decision Support System Model.

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