A multicriteria decision model for the selection of information system for a logistics company using MMASSI/TI

The aim of this work is to apply a methodology of decision support based on a multi-criteria decision analyses (MCDA), model that allows the evaluation and selection of an information system in a Logistics context. We carried out a literature review on supply chain management, logistics and decision theory to support all the practical work. A multi-criteria methodology for decision making support – Multi-criteria Methodology for the Assessment and Selection of Information Systems / Information Technologies (MMASSI / IT) based on logistics processes was applied during the MCDA, supported by a computer application. The ranking of the information systems best suited the decisional context was obtained and its sensitivity and robustness analyses performed.info:eu-repo/semantics/publishedVersio

Solutions for decision support in university management

The paper proposes an overview of decision support systems in order to define the role of a system to assist decision in university management. The authors present new technologies and the basic concepts of multidimensional data analysis using models of business processes within the universities. Based on information provided by scientific literature and on the authors’ experience, the study aims to define selection criteria in choosing a development environment for designing a support system dedicated to university management. The contributions consist in designing a data warehouse model and models of OLAP analysis to assist decision in university management.university management, decision support, multidimensional analysis, data warehouse, OLAP

Assessments of Information Systems at Small and Medium-sized Enterprises in the Agri-food Sector

Integrated information systems under large-scale company conditions have become widespread over the past decades. Information, data management and systematic information produced from these data and arranged according to needs, however, are required by not only large-scale companies but small- and medium-sized enterprises as well in the agri-food sector. The improvement of information and communication technologies continuously influence the development of information systems, the introduction of different solutions in architecture and the application of new business models. Our research goals was to analyse the evolution of ERP (Enterprise Resource Planning), functional analysing of SME’s (Small and Medium-sized Enterprises) information systems and developing decision support tools for selection, comparison of ERPs and economical evaluation of ERP investment. This tools are partly developed and usable for SMEs in the agri-food sector

The Narrative Frame of Daniel: A Literary Assessment

This paper presents a fuzzy multicriteria group decision making approach for evaluating and selecting information systems projects. The inherent subjectiveness and imprecision of the evaluation process is modeled by using linguistic terms characterized by triangular fuzzy numbers. A new algorithm based on the concept of the degree of dominance is developed to avoid the complex and unreliable process of comparing fuzzy numbers usually required in fuzzy multicriteria decision making. A multicriteria decision support system is proposed to facilitate the evaluation and selection process. An information systems project selection problem is presented to demonstrate the effectiveness of the approach

Aplikasi Metode Saw dalam Pemilihan Jurusan Menggunakan Fuzzy Multiple Atribute Decision Making pada SMA N.1 Koto Baru Kabupaten Dharmasraya

 Education is one of the many areas that utilize technology to gain information. Selection of the majors on SMA N 1 Koto Baru still using manual processes using Microsoft office excel, this course requires a lot of time and energy. Therefore, to facilitate the school in the electoral process and to minimize majors operating costs, designing a decision support system for the selection of majors that can be used by the school to quickly and easily and can provide accurate information about the selection result graders majoring in SMA N 1 Koto Baru. Decision support system design election this department using fuzzy multiple attribute decision making with methods of saw. Using the model of the ASI (flow of information systems and the use of programing languages supported PHP MySQL database makes this system into a decision support system that can assist users in selecting majors in accordance with the wishes of student

Decision support for information systems management : applying analytic hierarchy process

Decision-making in the field of information systems has become more complex due to a larger number of alternatives, multiple and sometimes conflicting goals, and an increasingly turbulent environment. In this paper we explore the appropriateness of Analytic Hierarchy Process to support I/S decision making. AHP can be applied if the decision problem includes multiple objectives, conflicting criteria, incommensurable units, and aims at selecting an alternative from a known set of alternatives. An AHP analysis is described by using the project selection decision as an example. The strengths and weaknesses of AHP are investigated based on a set of eight criteria for evaluating I/S decision support methods. This evaluation shows that AHP scores well on most criteria. Given this promising performance, other possible applications of AHP within the I/S function are listed.

Changing the means of managerial work: effects of automated decision support systems on personnel selection tasks

To enhance the quality and efficiency of information processing and decision-making, automation based on artificial intelligence and machine learning has increasingly been used to support managerial tasks and duties. In contrast to classical applications of automation (e.g., within production or aviation), little is known about how the implementation of automation for management changes managerial work. In a work design frame, this study investigates how different versions of automated decision support systems for personnel selection as a specific management task affect decision task performance, time to reach a decision, reactions to the task (e.g., enjoyment), and self-efficacy in personnel selection. In a laboratory experiment, participants (N = 122) were randomly assigned to three groups and performed five rounds of a personnel selection task. The first group received a ranking of the applicants by an automated support system before participants processed applicant information (support-beforeprocessing group), the second group received a ranking after they processed applicant information (support-after-processing group), and the third group received no ranking (no-support group). Results showed that satisfaction with the decision was higher for the support-after-processing group. Furthermore, participants in this group showed a steeper increase in self-efficacy in personnel selection compared to the other groups. This study combines human factors, management, and industrial/ organizational psychology literature and goes beyond discussions concerning effectiveness and efficiency in the emerging area of automation in management in an attempt to stimulate research on potential effects of automation on managers’ job satisfaction and well-being at work