عنوان مقاله
ادغام شبکه های اجتماعی و پشتیبانی از تصمیم گیری
فهرست مطالب
مقدمه
کلیاتی درباره شبکه اجتماعی پشتیبانی از تصمیم
شبکه اجتماعی برای پشتیبانی از تصمیم و بازسازی
نتیجه گیری
بخشی از مقاله
چارچوب پشتیبانی از تصمیم گیری و بازسازی تصمیم باید برخی فعالیتهای کلیدی را مد نظر قرار دهد: پشتیبانی از مشارکت ها، حفظ اطلاعات، ساخت ساختار، پشتیبانی از انتخاب و نمایش اطلاعات.
هدف اصلی در حفظ رکوردها، توانایی بازسازی رویدادهای گذشته می باشد. عامل اصلی در تصمیمات بازسازی، انتقال دانش و نهایتاً در اطلاعات حافظه سازمانی، فقدان و کمبود اطلاعات می باشد. منظور از فقدان اطلاعات خطاهای فنی نیست بلکه اعمال عمدی پاک شدگی، فرایندهای پاکسازی/ به روزرسانی خودکار، جمع بندی و مواردی از این دست می باشد
کلمات کلیدی:
Integrating Decision Support and Social Networks Francisco Antunes1, 2 and Joao Paulo Costa ˜ 1, 3 1 Institute of Computer and Systems Engineering of Coimbra, Rua Antero de Quental 199, 3000-033 Coimbra, Portugal 2Department of Business and Economics, Beira Interior University, Estrada do Sineiro, 6200-209 Covilha, Portugal ˜ 3 Faculty of Economics, Coimbra University, Avenida Dias da Silva 165, 3004-512 Coimbra, Portugal Correspondence should be addressed to Francisco Antunes, francisco.antunes@ubi.pt Received 14 July 2011; Revised 29 March 2012; Accepted 16 April 2012 Academic Editor: Arun Kumar Tripathi Copyright © 2012 F. Antunes and J. P. Costa. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. We elaborate on the shifting of decision support systems towards social networking, which is based on the concepts of Web 2.0 and Semantic Web technology. As the characteristics of the relevant components are different from traditional decision support systems, we present necessary adaptations when adopting social networks for decision support within an organization. We also present organizational obstacles when adopting/using such systems and clues to overcome them. 1. Introduction The overall objective of decision support systems (DSSs), whether individual or group based, is to counterbalance decision makers’ intuition, against rational techniques or models (multicriteria decision-aiding methods for instance), in order to improve decision-making. As a side effect, using DSSs also appears to reduce decision time, enhance user satisfaction, improve the ability to explain the reasons for deciding and accepting those decisions (i.e., decision reconstruction [1]), and facilitate knowledge acquisition (see, for instance, [2–4], for further insights, as well as [5– 7] for some of the process drawbacks). Decision-making can be seen as an organizational routine [8], traditionally consisting of an organized task, which requires the contribution of cooperative groups. According to [9], such groups have specific properties and they act in contexts that are different from the ones of negotiation, in the classic sense of that term. The characteristics that distinguish the two situations arise from differences in goals and objectives convergence, power relationships and interdependencies that are normally present, the possibilities of sharing information, and relevant behaviors (not to abandon a negotiation for instance). In the context of this work, a cooperative group is constituted by individuals who wish or need to reach a cooperative solution and that, therefore, are willing to contribute to the shared understanding of a problem [10]. To support decision-making, a large deal of work has been made since the earlier personal DSS. Literature on DSS thrived all over the years, with a great deal of prototypes for research demonstration of decision models or of enhanced collaboration functionalities, with only few, though remarkable, building their way into the market ([11–14], among many others). These systems followed the research advances in databases, artificial intelligence, operational research, psychology, and, especially regarding the focus of this paper, web development, which is supported by a group of technologies commonly known as Web 2.0 and Semantic Web—the so-called Web 3.0—which present an enhanced ability to connect and automatically organize the content of information spread across multiple pages or sites [15], being the basis of social networking. Social networking technology is changing the way common people and organizations interact and share information. Just to share a few numbers, by the time we wrote these lines, Facebook had more than 500 million users (http://www.facebook.com/press/info.php?statistics, last accessed 2011-07-05), LinkedIn: 100 million members in over 200 countries and territories (http://press.linkedin.com/ about, last accessed 2011-07-05), and Twitter: around
