Information System Project Selection Research Articles

An integrated FAHP–ZODP approach for strategic marketing information system project selection

This study presents a new integrated approach based on the fuzzy analytic hierarchy process (FAHP) and zero–one desirability programming (ZODP) for selecting strategic marketing information system projects. The FAHP is employed to prioritize the criteria, and the ZODP is used to select a set of appropriate projects. The proposed integrated FAHP–ZODP approach maximizes the overall desirability value under various objectives, limited resources, and preferences. The findings of this study support decision makers in project selection when conflicting attributes are involved, ensure effective decision making with an understanding of the marketing environment, and assist project management under certain and uncertain environments.

AHP AND WAFGP HYBRID MODEL FOR INFORMATION SYSTEM PROJECT SELECTION

The aim of this study is to propose an integrated Analytic Hierarchy Process (AHP) and Weighted Additive Fuzzy Goal Programming (WAFGP) method for the selection of information system projects that can use all types of linear membership functions and offer more flexibility. The proposed methodology includes three steps. First, an expert team was formed to identify the decision criteria and build a hierarchical model for the information system project selection. Then, the AHP was used to estimate the relative weights of the criteria. Finally, a WAFGP model was formulated and used to select the projects. A hypothetical example is given to show how to use this methodology and its advantages. In comparison to other approaches, the AHP-WAFGP hybrid model gives better support for information system project selection by selecting projects that make the best use of available resources and better satisfy the decision goals. Furthermore, the sensitivity analysis reveals that the proposed model is robust, adaptable, and not sensitive to small changes. Nevertheless, the proposed methodology does not include interdependencies among criteria and alternatives.

A Sustainability‑Based Multi‑Criteria Decision Approach for Information Systems Project Selection

An effective approach for evaluating and selecting information systems (IS) projects in project management from a sustainability perspective is highly desirable in contemporary organisations with sustainable objectives. Such an approach, however, is absent from the literature. This paper presents a multi‑criteria analysis approach for effectively evaluating and selecting IS projects for project management in organisations based on their sustainability performance under environmental, economic, and social dimensions. Such an approach considers the subjective and uncertain nature of the IS project selection process using linguistic variables approximated by fuzzy numbers and effectively aggregates the subjective assessments for determining the overall sustainable performance of individual IS projects across all the selection criteria and their associated sub‑criteria. The proposed multi‑criteria decision‑making approach provides organisations with a proactive mechanism for effectively evaluating and selecting IS projects from a sustainability perspective. An IS project selection problem is presented to demonstrate the effectiveness of the approach.

A framework for managing uncertainty in information system project selection: an intelligent fuzzy approach

ABSTRACTInformation System Project (ISP) Selection is the most significant strategic consideration to each management of organizations, in terms of business intelligence (BI) as critical factors must be considered from large volume of information, known as Big Data (BD). In today’s competitive environment, the main objective is selecting suitable and effective ISP to reduce the risk of investment, maximize overall performance of management of organization by mitigating uncertainty. As these types of decisions generally involve several criteria and it is often necessary to compromise among possibly conflicting factors, the multiple criteria decision making (MCDM) becomes a useful approach to solve this kind of problem. This paper establishes a novel intelligent model by integrating fuzzy Shannon entropy and Fuzzy Technique for Order Preference by Similarity to Ideal Solution Method (FTOPSIS) techniques as a decision tool for solving MCDM problem using linguistic values, which smoothly aids decision makers dealing with uncertain or incomplete information without losing existing quantitative information. The novelty of this paper is to propose a framework of BI in management of an organization to determine suitable ISP where all the meaningful information, relevant knowledge and visualization retrieved by analyzing BD based on decision making to enhance any organizational performance worldwide.

Multicriteria Decision Making for Evaluating and Selecting Information Systems Projects: A Sustainability Perspective

This paper develops a multicriteria analysis method for effectively making the selection decision on information systems (IS) projects for project management in organizations from a sustainability perspective. The triple bottom line principle of sustainability in organizations is carefully considered in formulating the IS project selection process as a multicriteria analysis problem. The subjectiveness of the decision-making process is modelled by linguistic variables approximated by fuzzy numbers. The positive and the negative ideal solution concepts are used to calculate the overall sustainability performance of individual IS projects in a comprehensive manner. A decision support system framework is then constructed with the use of the developed method for facilitating the IS project selection process. Such a system can provide organizations with an effective mechanism for comprehensively evaluating available IS projects from a sustainability perspective. An example is presented for demonstrating the flexibility and effectiveness of the proposed method in solving the IS project selection problem.

Selecting most efficient information system projects in presence of user subjective opinions: a DEA approach

Information System (IS) project selection is a critical decision making task that can significantly impact operational excellence and competitive advantage of modern enterprises and also can involve them in a long-term commitment. This decision making is complicated due to availability of numerous IS projects, their increasing complexities, importance of timely decisions in a dynamic environment, as well as existence of multiple qualitative and quantitative criteria. This paper proposes a Data Envelopment Analysis approach to find most efficient IS projects while considering subjective opinions and intuitive senses of decision makers. The proposed approach is validated by a real world case study involving 41 IS projects at a large financial institution as well as 18 artificial projects which are defined by the decision makers.

Decision support based on single valued neutrosophic number for information system project selection

Abstract. Neutrosophic sets and its application to decision support have become a topic of great importance for researchers and practitioners alike. In this paper, a new model for decision making in the selection of information system projects is presented based on single valued neutrosophic number (SVN-numbers) allowing the use of linguistic variables with multiples points of view from experts. The proposed framework is composed of four activities, framework, gathering information, rating alternatives and information system project selection. Project alternatives are rated based on the Euclidean distance to the ideal alternative. A case study is developed in information system, showing the applicability of the proposal. Further works will concentrate in extending the model for dealing with heterogeneous information and in developing a software tool.

Intuitionistic Fuzzy Multicriteria Group Decision for Evaluating and Selecting Information Systems Projects

Evaluating and selecting information systems projects for development in an organization are a multicriteria group decision-making problem in which multiple, often conflicting criteria have to be considered by several decision makers whose preferences in the decision making process are often inter-dependent. To effectively solve this problem, this study presents an intuitionistic fuzzy approach with the use of intuitionistic fuzzy values for adequately modeling the subjectiveness and imprecision of the decision making process. The inter-dependence of the preferences of the decision makers are properly represented by the use of fuzzy measure. An intuitionistic fuzzy group decision making method with Choquet integral-based TOPSIS is utilized for determining the overall performance of alternative information systems projects across all the criteria, leading to effective decisions being made in evaluating and selecting information systems projects. An example is presented for demonstrating the applicability of the proposed approach for solving the information systems project evaluation and selection problem in the real world setting.

The Influence of Technology, Environment and User Acceptance on the Effectiveness of Information System Project Selection Using SEM

The selection of the present information system project is difficult because of the many factors that influence it. Information system project should pay attention to the user acceptance, technology and the environment in terms of their influence on the information system project selection. The purpose of this paper is to determine how much influence user acceptance, technology and the environment have on the information system project selection. This research uses data obtained from several ministries and analyzed using SEM (Structural Equation Models). The results found that the technology and the environment affects user acceptance. Moreover, technology and environment affect the effectiveness of the information systems project selection through the mediating effect of user acceptance. User acceptance, tested by the incorporation of usefulness and ease of use, the results are more modest and in line with previous theories. Furthermore, the external environment highly impacts the information system project selection.

Hybrid Multicriteria Group Decision Making Method for Information System Project Selection Based on Intuitionistic Fuzzy Theory

Information system (IS) project selection is of critical importance to every organization in dynamic competing environment. The aim of this paper is to develop a hybrid multicriteria group decision making approach based on intuitionistic fuzzy theory for IS project selection. The decision makers’ assessment information can be expressed in the form of real numbers, interval-valued numbers, linguistic variables, and intuitionistic fuzzy numbers (IFNs). All these evaluation pieces of information can be transformed to the form of IFNs. Intuitionistic fuzzy weighted averaging (IFWA) operator is utilized to aggregate individual opinions of decision makers into a group opinion. Intuitionistic fuzzy entropy is used to obtain the entropy weights of the criteria. TOPSIS method combined with intuitionistic fuzzy set is proposed to select appropriate IS project in group decision making environment. Finally, a numerical example for information system projects selection is given to illustrate application of hybrid multi-criteria group decision making (MCGDM) method based on intuitionistic fuzzy theory and TOPSIS method.

Hybrid decision model for information project selection

Information project selection is an important and recurring activity in many organizations. Establishing a systematic project selection model thus is important for organizations. However, information system project selection is made difficult by the need to consider numerous quantitative and qualitative factors, such as business goals, benefits, project risks and limitations in available resources. This study proposes a hybrid measurement model for evaluating the overall effects of information projects. The selection model generates critical, quantitative and qualitative indicators to help managers realize the advantages/disadvantages of operational conditions. This hybrid selection model not only accelerates project evaluation and selection, but also helps organizations optimize project selection and thus achieve sustainable development.

Fuzzy multicriteria decision support for information systems project selection

This paper presents a fuzzy multicriteria group decision making approach for selecting information systems projects. The inherent subjectiveness and imprecision of the selection process is modeled by using linguistic terms characterized by triangular fuzzy numbers. To avoid the complex and unreliable process of comparing fuzzy numbers usually required in fuzzy multicriteria analysis, a new algorithm is developed based on the degree of dominance and the degree of optimality concepts. 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.

A multi-attribute group decision support system for information technology project selection

The increasing intensity of global competition and the rapid advances in information technology (IT) have led organisations to search for more efficient and effective ways to manage their business. With the rapid growth of IT and global complexity, selecting information system projects that further business objectives has become a complex task. This complexity is due to a larger number of alternatives, multiple and often conflicting attributes, and an increasingly turbulent business environment. Traditional assessment techniques overemphasise quantitative and economic analysis and often neglect to consider qualitative and non-economic factors in the formal selection process. Furthermore, prior research for IT project selection does not consider interdependencies among candidate projects. In this paper, a comprehensive multi-attribute decision-making (MADM) approach for IT project selection is proposed. This decision model is illustrated by a case study of enterprise information system project selection at a textile manufacturer in Philadelphia. The proposed approach considers both quantitative and qualitative attributes as well as the interdependencies among candidate projects in a hybrid model that integrates the technique for order preference by similarity to ideal solution (TOPSIS) with multi-objective decision-making (MODM). MADM is used for the sorting or the ranking of the IT projects according to multiple attributes, and MODM is used for driving a vector optimisation-based solution.

A comprehensive model for selecting information system project under fuzzy environment

In general, the development of any information system (IS) project requires large investments of resources, such as human resources, computer software and hardware resources, operational procedures adjustments, and so on. However, IS project selection is difficult because there are lots of factors to be considered, such as business goals, benefits, project risks and limited available resources. In fact, IS project selection takes place in an incomplete, vague and uncertain information environment. The aim of this paper is to present a multiple-criteria decision-making method (MCDM) for selecting an information system project based on the fuzzy measure and the fuzzy integral. In this paper, the subjective opinions of decision makers are described in linguistic terms expressed in trapezoidal fuzzy numbers. After aggregating the fuzzy ratings of all decision makers, the vertex method is applied to transform the aggregated fuzzy rating into a crisp value. And then, a new algorithm is developed to deal with the IS projects selection problems. Finally, a numerical example is given to demonstrate the procedure for the proposed method.

Enterprise information system project selection with regard to BOCR

Enterprise information systems, such as enterprise resource planning (ERP), manufacturing executive systems (MES), customer relation management (CRM) and so on, are grasping increasing attention, due to their ability to improve production and business performance, and raise competitive advantage for enterprises. However, what these enterprise information systems bring about are not only benefits and potential opportunities, but also costs and potential risks. So a comprehensive and systematic assessment is necessary for executives to select the most suitable project from many alternatives. This paper first proposes a decision method for project selection. Analytic network process (ANP) is used to make the decision with regard to benefits (B), opportunities (O), costs (C) and risks (R). Then this decision method is examined by a case study of MES project selection in a Chinese undershirt manufacturer. Although this case is about enterprise information system project selection, it contributes to the study of ANP application in project selection in broader areas besides enterprise information system project.

A comprehensive 0–1 goal programming model for project selection

Effective information system (IS) project selection in health service institutions necessitates incorporating the many conflicting objectives of decision-makers into decision models. Multiple factors that impact the decision to select an appropriate IS projects include decision-maker preferences and priorities (goals and objectives), benefits, costs (hardware, software, required manpower and other costs), project risk, required time of completion and for training, and the availability of other scarce resources. Existing methods of IS selection do not include all these criteria in one decision model. Among the many proposed methodologies of multicriteria decision making, goal programming is perhaps the most popular and widely used. In this paper, project selection models in other disciplines, such as R&D, capital budgeting, investment plans, etc., are synthesized to develop a project selection model for health service institutions that explicitly incorporates all of these factors. The decision model is formulated as a mixed-0–1 goal programming model which is validated by applying it to a real-world IS project selection data. The main contribution is in problem identification and development of the mathematical model for project selection.

An integrated approach for interdependent information system project selection

Information System (IS) project selection problems are Multi-Criteria Decision Making (MCDM) problems. Prior research for IS project selection does not reflect interdependencies among criteria and candidate projects. To consider project interdependent property provides valuable cost savings and greater benefits to organizations. Although goal programming incorporates multiple objectives and arrives at an optimal solution, its major drawback is that the decision maker(s) must specify goals and priorities a priori. In order to overcome this problem, group discussion is needed. In this paper, we suggested an integrated approach for interdependent IS project selection problems using Delphi, Analytic Network Process concept and Zero–One Goal Programming. The application of the proposed methodology is illustrated through an example.

Using analytic network process and goal programming for interdependent information system project selection

Information system (IS) project selection problems are multi-criteria decision-making (MCDM) problem. Existing methods for IS project selection does not reflect interdependencies among criteria and candidate projects. Considering these interdependencies among criteria provides valuable cost savings and greater benefits to organizations. When we evaluate project problems, we need to collect a group opinion because to know the interdependence relationship among criteria and criteria in considered project problems is very important. In order to collect group opinion for interdependent project problem, we use expert interview. In this paper, we suggest an improved IS project selection methodology which reflect interdependencies among evaluation criteria and candidate projects using analytic network process (ANP) within a zero–one goal programming (ZOGP) model. Scope and purpose When information system (IS) projects are selected from a suggested competing projects they are evaluated according to different criteria. Prior research neglected an important aspect of information technology, namely the interdependencies that exist among IS projects. When we select IS project in organization, to select IS project through recognizing and modeling these project interdependencies provides valuable cost savings to organizations. Among the proposed methodologies of multi-criteria decision making (MCDM), goal programming (GP) is widely used for IS project selection. Although GP incorporates multiple objectives and arrives at an optimal solution, its major drawback is dependent on the judgment of decision maker(s). In order to provide a systematic approach to set priorities among multi-criteria and trade-off among objectives, analytic network process (ANP) is suggested to be applied prior to GP formulation. In this paper, we present a methodology using analytic network process and zero–one goal programming (ZOGP) for IS projects selection problems that have multiple criteria and interdependence property.

Information system project-selection criteria variations within strategic classes

Effective information system (IS) project selection is critical to the success of organizations. Researchers have proposed that selection of projects varies by strategic orientation, but none have looked at how criteria vary within strategic classes. A survey of IS professionals, with a final respondent pool of 88, is directed at exploring these differences. Paired t-tests indicate that organizations with current strategic systems rate internal factors higher than external and project-related criteria. Organizations with an expectation of future strategic information systems rate internal concerns the highest, but they also place more emphasis on external conditions than on project-related issues. The results allow an organizational comparison to common practice for the purpose of modifying project-selection techniques or benchmarking to similar organizations.

A decision model for interdependent information system project selection

Existing methods for information system (IS) project selection neglect an important aspect of information technology, namely the interdependencies that exist among various IS applications (projects). Recognizing and modeling these project interdependencies provides valuable cost savings and greater benefits to organizations. In this paper, an IS project selection model is developed that identifies and models benefit, resource and technical interdependencies among candidate projects. The proposed model is formulated as a nonlinear 0–1 programming problem and represents a significant addition to existing IS, capital budgeting and R&D project selection models. The model is converted, using linearization techniques, and tested (validated) by applying it to real-world IS project selection data. By comparing the performance of this model with existing project selection models, the contribution of this model is highlighted.