Evolution of Decision Support Systems Research Field in Numbers

The scientific production in a certain field shows, in great extent, the research interests in that field. Decision Support Systems are a particular class of information systems which are gaining more popularity in various domains. In order to identify the evolution in time of the publications number, authors, subjects, publications in the Decision Support Systems (DSS) field, and therefore the scientific world interest for this field, in November 2010 there have been organized a series of queries on three major international scientific databases: ScienceDirect, IEEE Xplore Digital Library and ACM Digital Library. The results presented in this paper shows that, even the decision support systems research field started in 1960s, the interests for this type of systems grew exponentially with each year in the last decades.DSS, Numbers, Research, Materials

The necessities for building a model to evaluate Business Intelligence projects- Literature Review

In recent years Business Intelligence (BI) systems have consistently been rated as one of the highest priorities of Information Systems (IS) and business leaders. BI allows firms to apply information for supporting their processes and decisions by combining its capabilities in both of organizational and technical issues. Many of companies are being spent a significant portion of its IT budgets on business intelligence and related technology. Evaluation of BI readiness is vital because it serves two important goals. First, it shows gaps areas where company is not ready to proceed with its BI efforts. By identifying BI readiness gaps, we can avoid wasting time and resources. Second, the evaluation guides us what we need to close the gaps and implement BI with a high probability of success. This paper proposes to present an overview of BI and necessities for evaluation of readiness. Key words: Business intelligence, Evaluation, Success, ReadinessComment: International Journal of Computer Science & Engineering Survey (IJCSES) Vol.3, No.2, April 201

Sistem Informasi Kepegawaian Berbasis Web Sebaga Pendukung Keputusan Pimpinan di Stekom Semarang

Sekolah Tinggi Elektronika dan Komputer (STEKOM) Semarang yang berpusat di Jl. Majapahit 605 Semarang, memiliki beberapa kampus di Semarang dan di luar Semarang. Adanya kondisi lokasi kampus yang demikian menyulitkan bagian kepegawaian dalam menerima dan mengelola data kepegawaian yang uptodate. Disamping itu, penilaian kinerja pegawai tenaga kependidikan dan tenaga pendidik membutuhkan waktu yang lama karena harus mendapatkan data dari masing-masing kampus sehingga informasi yang diperoleh tidak cepat sampai ke pusat sehingga terlambat apabila digunakan sebagai pendukung pengambilan keputusan oleh pimpinan. Untuk itu penulis membuat rancang bangun sistem informasi kepegawaian berbasis web dengan pendekatan metode penelitian Research and Development (R&D), Borg and Gall (1983), melalui 6 tahapan (Research and information collecting, Planning, Develop preliminary form of product, Preliminary field testing, Main product revision, Main field testing) untuk menghasilkan sebuah prototype produk aplikasi sistem informasi kepegawaian. Pembuatan prototype produk aplikasi sistem informasi kepegawaian menggunakan software Macromedia Dreamweaver MX 2004 sebagai media desain dan PHP sebagai bahasa pemrograman yang dipakai, serta database MySql sebagai media penyimpanan. Penelitian ini dilakukan melalui tahapan desain sistem yang divalidasi oleh pakar dan prototype produk yang diuji lapangan dengan melibatkan pengguna. Hasil akhir dari penelitian ini berupa prototype produk sistem informasi kepegawaian berbasis web yang telah dinyatakan berfungsi baik sehingga dapat menghasilkan informasi-informasi yang berguna untuk update data pegawai dan informasi hasil kinerja pegawai yang dapat digunakan sebagai pendukung keputusan oleh pimpinan

Analysis of the quality of life after an endoscopic thoracic sympathectomy : a business intelligence approach

Primary hyperhidrosis, a disorder characterized by an excessive sweating, has been treated by endoscopic thoracic sympathectomy. As a consequence of the surgery, patients improved their overall quality of life. Their day-by-day activities are not affected, or are less affected, by this disorder, and their emotional state verifies a significant improvement, from a situation of shame and self-punishing to what we could say a normal life. This paper presents the analysis of the quality of life of 227 patients that were treated by an endoscopic thoracic sympathectomy. The study was based on the use of business intelligence technologies, which allowed the storage, the analysis and the reporting of all the relevant findings. In technological terms, this paper illustrates the database and data analysis developments needed in a specific healthcare application domain. For data storage, a data mart was designed addressing the relevant attributes. For data analysis, on-line analytical processing and data mining technologies were used to show the evolution of the patients’ health condition and the incidence of complications or side effects as consequence of the surgery.(undefined

Towards a Life Cycle Oriented Business Intelligence Success Model

Information System (IS) success has been an essential research issue in the IS community for nearly two generations of IS researchers. For the Business Intelligence (BI) domain we see the lack of a comprehensive, life cycle oriented success model. Based on an extensive review of BI success related literature, we propose a methodology for creating such success models in general and demonstrate the feasibility of the proposed approach within the context of BI. A life cycle oriented BI success model is presented including an outline of the constructs, their relationships, and associated measurement items. From a practical perspective, the results provide assistance for the future development of BI solutions in organizations. The paper deepens the understanding of success model adaptation and extension from a theoretical perspective

TOWARDS A CONSOLIDATED RESEARCH MODEL FOR UNDERSTANDING BUSINESS INTELLIGENCE SUCCESS

Research about the factors that determine the success of information systems (IS) suggests that IS success is an elusive phenomenon that can only be explained in terms of a multi-dimensional construct. Despite the usefulness and unique qualities of Business Intelligence (BI) solutions, the factors responsible for the success of BI solutions remain poorly understood. Our article attempts to illuminate a path towards a clearer understanding of how BI solutions succeed by drawing on the existing body of literature and critically reflecting on the updated model of information systems success presented by DeLone and McLean (2003) and Wixom and Watson’s (2001) model of data warehousing success. The principal research contribution consists of expanding, adapting, and synthesising these two models into a consolidated model for BI success. We derive a second order model, delineate its constructs, and conceptualise their relationships based on prior research related to IS success. The operationalization of these factors has the potential of leading to a more precise instrument for understanding, evaluating and analysing the success of BI solutions

From WIS.2 to Smart Forest – a sustainable forest management decision support system

WIS.2 is a DSS for monitoring and implementing the goal-oriented and sustainable management of forest ecosystems, especially with regard to the integral management of significant spatial and temporal scales in forest ecosystems. WIS.2 considers multiple ecosystem goods and services in silvicultural management and the implementation of silvicultural interventions, which are in accordance with the Swiss silvicultural tradition. WIS.2 takes a top-down approach, starting with the entrepreneurial strategy, and ending at short and mid-term interventions at stand level. WIS.2 structures the overall decision process across multiple scales and provides decision support for each decision to be taken by organizing and connecting available data and models. WIS.2 is based on MS Access and ArcGIS View and is composed of different applications, each handling a main aspect of the management of forest ecosystems. The tool is used at the level of higher education in forest management in Switzerland. WIS.2, initially developed during 2001-2005 within the framework of a PhD thesis at the ETH in Zurich (Rosset 2005a), has been successively improved through practical use in more than 10 case studies in five Swiss Cantons. The main challenge is now to advance from a prototype to an easily available consolidated IT product