Toward an IT investment decision support model for global enterprises

Chen, Patrick Shicheng; Yen, David C.; Lin, Shu‐Chiung; Chou, Chien Shan

doi:10.1016/j.csi.2018.04.001

Cited by 13 publications

(9 citation statements)

References 45 publications

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“…The second most important tool applied in this research is the decision support system. For instance, in management of corporations (Chen, Yen, Lin, and Chou, 2018), when people decide on location of production facilities (Kuzmin, 2018) or a reasonable configuration of the product being designed (Buchert, Ko, Graf, Vollmer, Alkhayat, Brandenburg, Stark, Klocke, Leistner, and Schleifenbaum, 2019). Object ranking methods have been also in wide use and have faced their development (Asadabadi, 2018;Safarzadeh, Khansefid, and Rasti-Barzoki, 2018).…”

Section: Literature Reviewmentioning

confidence: 99%

Sustainable project management for multi-agent development of enterprise information systems

Batkovskiy¹,

Kurennykh²,

Семенова³

et al. 2019

JESI

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The paper includes a review of processes in managerial decision-making based on results of multi-agent simulation in development of enterprise information systems. Authors have proposed the multi-agent model, within which agents' actions depend on a hybrid function of preferences. On this basis, authors have formalized the method, with which it is possible to evaluate agents' judgments. The method combines qualitative, quantitative and fuzzy approaches provide by the decision-making theory and the idea of the criteria space divided into sectors. The synthesis of these approaches has made it possible to lower subjective uncertainty inherent in shared managerial decision making. For the multi-agent model, they have drafted event processing algorithms and identified criteria to evaluate simulation results necessary to support decision making in order to identify the most effective option in development of enterprise information system. Authors have also introduced a methodology-related toolkit in the form of software, including the multi-agent model, decision system and optimization module.

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Section: Literature Reviewmentioning

confidence: 99%

Sustainable project management for multi-agent development of enterprise information systems

Batkovskiy¹,

Kurennykh²,

Семенова³

et al. 2019

JESI

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“…Investment in technology, combined with IT management skills and knowledge, produces IT capabilities [12] [13]. IT investment is often associated with the company's business strategy, with the aim of increasing its competitive advantage [14]. IT investment is associated with other factors of production, labor, and capital.…”

Section: Information Technology (It) Investmentmentioning

confidence: 99%

“…Table 7. Selecting Project Use MCDM Method Authors Method [14] Adopt AHP method to analyze the weight of critical factors and measurement indicators in each level and the bulid a decision support model of IT investment-making [28] TOPSIS is proposed for portfolio selection problem that can solve real-world instances of the problem in a reasonable time [29] A new MCDM model that combines the Fuzzy Decision Making Trial and Evaluation Laboratory Model (DEMATEL), fuzzy Analytical Network Process (ANP) and fuzzy method Višekriterijumska Optimizacija i kompromisno Rešenje (VIKOR) [18] The weights of the criteria are determined by AHP method and the alternatives are evaluated by Grey-TOPSIS [6] Analytic Network Process (ANP) and Preference Ranking Organization Method for Enrichment Evaluations (PROMETHEE), used in combination to solve the best ERP selection problems [30] selection of the best alternative uses an analytic hierarchy process (AHP) and techniques for order preferences by similarity to the ideal solution (TOPSIS) as a hybrid approach [31] ELECTRE-TRI's various criteria decision-making methods are applied to help Brazilian retail distribution center companies to decide on new technology investments that will be implemented in the company's central data processing system [32] Fuzzy VIKOR is used to rank various sectors based on the importance of sustainability criteria. fuzzy AHP DEA shows IT projects on water resources, river & environmental development located in border efficiency areas.…”

Section: It Project Selectionmentioning

confidence: 99%

Literature Review – Using Multi-Criteria Decision-Making Methods in Information Technology (IT) Investment

Purwita¹,

Subriadi²

2019

Proceedings of the Proceedings of the 1st International Conference on Business, Law and Pedagogy, ICBLP 2019, 13-15 February 20

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The application of Multi-Criteria decision-making (MCDM) method was important in Information Technology (IT) project investment. The results of several studies it showed that use the MCDM method obtained were not accurate. Several MCDM methods were combined to help the more accurate results. Therefore, the study aims to determine the decision-making methods that have higher accuracy obtained from 30 research literature. A literature search was obtained from database providers such as ScienceDirect, IEEE Xplore, Emerald Insight, and ACM. Based on 30 literature obtained from the 2008-2018, MCDM was used in the process of evaluation and selection projects in IT investments. Both processes used three MCDM methods which have highest frequency of use, because they are considered easy to use. The method used was Analytic Network Process (ANP), Priority Order Technique based on Ideal with Ideal Solutions (TOPSIS), Analytic Hierarchy Process (AHP), and Data Envelopment Analysis (DEA). Then from the four methods, found that the AHP method was more accurate and easier to use in IT investment.

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“…Increasing competition with globalization lead enterprises to be more efficient and effective (Chen et al, 2018;Kargın, 2013). In a globally competitive environment, enterprises have inadequate technology, financial resources, knowledge and skills to survive and achieve profitability they aim (Öztürk, 2017).…”

Section: Introductionmentioning

confidence: 99%

Effects of Joint Production on Production Costs: Brick Factory Sample

Temel

Ertaş

2020

Muhasebe Ve Vergi Uygulamaları Dergisi

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Akio Morita, president of Sony emphasized the necessity of joint production with his remarks "No company is an island. In a world where companies are in need of each other should consider ways to work with other firms, if they want to compete in the global market." In the national and international markets, companies that are party to the competition have joint ventures under different names in order to enter different markets, gain cost advantage, share risk and create synergy. One of common types of joint ventures is joint production. Joint production is the production of one or few production processes in an establishment set up in joint with the competitors in the sector in order to reduce production costs. Since competitors carry out one or a few production processes jointly, joint production provides more reduction in production costs in comparison to individualized production costs, and this cost-reducing advantage should have a positive effect on any establishments. Our paper is aimed at examining the feasibility of joint production in brick factories to cut down on production costs and its effect on production costs of Erbaa brick factories in particular. Production processes in brick factories take place in four stages: raw material preparation, pressing, drying and baking. Results of the interviews with factory managers and technical staff, it was found that they could use the advantage of joint production in the raw material preparation stage. For the research, the production costs of the brick factory with 300 tones of tillage capacity per day and the raw material preparation plant with the tillage capacity of 3200 tons per day which can be used by 15 brick factories at different capacity levels were examined. As a result of the research, it is determined that production cost is 6.95 TRY/ ton in case of raw material preparation in individualized factory and production cost is 4.51 TRY / ton in case of joint production.

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Toward an IT investment decision support model for global enterprises

Cited by 13 publications

References 45 publications

Sustainable project management for multi-agent development of enterprise information systems

Sustainable project management for multi-agent development of enterprise information systems

Literature Review – Using Multi-Criteria Decision-Making Methods in Information Technology (IT) Investment

Effects of Joint Production on Production Costs: Brick Factory Sample

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