Exploring Industry Benchmarks for Continuous Improvement and Investment Decision-Making

International Journal of Information Technology & Decision Making ◽

10.1142/s0219622021500498 ◽

2021 ◽

pp. 1-28

Author(s):

Tien-Chin Wang ◽

Shu-Li Huang ◽

Chien-Hui Lee

Keyword(s):

Decision Making ◽

Continuous Improvement ◽

Investment Decision ◽

Operational Efficiency ◽

Efficiency Measurement ◽

Investment Decision Making ◽

High Investment ◽

Blue Chip

Measuring company efficiency is an important issue for both managers and investors. Efficiency measurement is always important because organizations are constantly striving to increase internal productivity. However, investors are more concerned about sustainability than many executives believe. Almost 75% of investment community respondents strongly believed that improvements in operational efficiency were often accompanied by progress in terms of sustainability. This study examined companies listed on the Taiwan 50 and Taiwan Mid-Cap 100 Indexes and measured and ranked their operational efficiencies, identifying representatives with high investment potential among these highly capitalized blue chip stocks from various industries. The results will provide managers with recommendations for improving operational efficiency through competitive mapping, as well as a list of the most attractive targets for investment.

Download Full-text

Application of Fuzzy Logic in Investment-Intensive Decision Making

Handbook of Research on Emerging Applications of Fuzzy Algebraic Structures - Advances in Computer and Electrical Engineering ◽

10.4018/978-1-7998-0190-0.ch021 ◽

2020 ◽

pp. 386-404

Author(s):

Prateek Pandey ◽

Shishir Kumar ◽

Sandeep Shrivastava

Keyword(s):

Decision Making ◽

Fuzzy Logic ◽

New Product Development ◽

Investment Decision ◽

High Stake ◽

Investment Decision Making ◽

High Investment ◽

Decision Making Processes ◽

Robust System ◽

Critical Process

Fuzzy logic has been serving the industry for decades by resolving the ambiguities that appear as a result of imprecise environment. High-stake decision-making processes require inputs from various stakeholders to incorporate. If the risk is high, as in the case of high investment decision making, a robust system of incorporating opinions from multiple stakeholders must be set in place in order to avoid any inconsistency or bad decisions. Fuzzy matrices and arithmetic can play a rescuer in such situations. In this chapter, the authors demonstrate a decision-making framework incorporating the use of fuzzy numbers and arithmetic to make critical decisions in strategic marketing and new product development. Forecasting in the domains of new products is an utmost complex and critical process because no relevant history is available owing to the product's ‘one-of-its-kind' nature. In such cases, computation via analogy is an interesting paradigm, which is also discussed in the chapter.

Download Full-text