Analysis of new product mix selection at TFT-LCD technological conglomerate network under uncertainty

Chen, Hsing Hung; Lee, Amy H. I.; Yun-huan, Tong

doi:10.1016/j.technovation.2005.08.013

Cited by 23 publications

(14 citation statements)

References 39 publications

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“…This study is potentially valuable to researchers in its demonstration of still another application of fuzzy logic. Furthermore, compared with existing studies (Lin and Hsieh 2004;Chen et al 2006Chen et al , 2007Carlsson and Fuller 2007;Wang and Hwang 2007;Lin et al 2010;Wei and Chang 2011), the proposed approach offers the following distinct features:…”

Section: Discussionmentioning

confidence: 99%

“…Fuzzy logic therefore enables effective and efficient quantification of imprecise information in the reasoning process, and decision-making based on vague and incomplete data (Machacha and Bhattacharya 2000). In recent decades, to reduce complexity, ambiguity, and uncertainty, numerous fuzzy analysis and decision tools have been developed to assist managers in making more satisfactory NPD screening decisions (Coffin and Taylor 1996;Machacha and Bhattacharya 2000;Kuchta 2001;Lin and Chen 2004;Lin and Hsieh 2004;Chen et al 2006;Carlsson and Fuller 2007;Wang and Hwang 2007). For example, Coffin and Taylor (1996) and Machacha and Bhattacharya (2000) applied fuzzy logic to both software products and R&D project selection.…”

Section: Literature Reviewmentioning

confidence: 99%

“…Other researchers first used the fuzzy analytic hierarchy process to prioritize the relative importance of various evaluation criteria (Chen et al 2007). Moreover, both a general weighted average (Chen et al 2006) and a fuzzy weighted average (Chen et al 2007) have been applied to consolidate fuzzy ratings and weightings of evaluation criteria to obtain the fuzzy performance value of each project. Because the fuzzy weighted average approach produces a more informative result, Lin and Chen (2004) used this technique to devise a fuzzy possible-success rating for a new product.…”

Section: Literature Reviewmentioning

confidence: 99%

“…Previous studies have generally concentrated on only a few dimensions for evaluating projects, such as benefits (Carlsson and Fuller 2007;Wang and Hwang 2007), corporate strategies (Lin and Hsieh 2004;Lin et al 2010), and benefits and risks (Lin and Chen 2004;Wei and Chang 2011), and have tended to neglect potential risks, such as organizational factors or technical uncertainties (Chen et al 2006(Chen et al , 2007. Furthermore, models based on complex methodologies that are not generally understood are unconvincing and cannot obtain organizational buy-in (Griffin 1997).…”

Section: Literature Reviewmentioning

confidence: 99%

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A Linguistic Approach to Measuring the Attractiveness of New Products in Portfolio Selection

Lin

Yang

2014

Group Decis Negot

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To gain a competitive edge, companies must continually invest in new product development (NPD), and must decide how to strategically allocate limited resources. The most critical NPD activity is the accurate assessment of the attractiveness of new products, simultaneously considering favorable factors (project value and strategic fit) and unfavorable factors (project risks), especially in robust companies in developing countries. In the NPD development process, the attractiveness of products is often evaluated using information that is imprecise or ambiguous. Fuzzy logic is well-suited to inform NPD decision-making. Thus, a comprehensive method considering both favorable and unfavorable factors, and using a fuzzy weighted average to devise a fuzzy possible-attractiveness rating (FPAR) of an NPD project for portfolio selection, is proposed in this paper. FPAR is a measurement of information, which is able to retain the multiplicity of that information. The proposed evaluation technique was demonstrated using a Taiwanese company as an example. The results indicated that this method provided an accurate assessment of overall product attractiveness, necessary for obtaining organizational buy-in, and can effectively aid managers to conduct sensitive analyses, balance the impact of changes in strategy, and receive quick feedback on the results of such changes.

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Section: Discussionmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

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A Linguistic Approach to Measuring the Attractiveness of New Products in Portfolio Selection

Lin

Yang

2014

Group Decis Negot

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“…Marketing is the process of planning and executing the conception, pricing, promotion, and distribution of ideas, goods, and services to create exchanges that satisfy individual and organizational goals and consequently marketing strategy is a critical component of NPD 2,3 .…”

Section: Introductionmentioning

confidence: 99%

Criteria Weighting and 4P's Planning in Marketing Using a Fuzzy Metric Distance and AHP Hybrid Method

Gürbüz¹,

Albayrak²,

Alaybeyoğlu³

2014

IJCIS

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Production and consumption relationship shows that marketing plays an important role in enterprises. In the competitive market, it is very important to be able to sell rather than produce. Nowadays, marketing is customeroriented and aims to meet the needs and expectations of customers to increase their satisfaction. While creating a marketing strategy, an enterprise must consider many factors. Which is why, the process can and should be considered as a multi-criteria decision making (MCDM) case. In this study, marketing strategies and marketing decisions in the new-product-development process has been analyzed in a macro level. To deal quantitatively with imprecision or uncertainty, fuzzy sets theory has been used throughout the analysis.

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Using a hybrid MCDM methodology to identify critical factors in new product development

Yeh

Pai

Liao

2013

Neural Comput & Applic

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Analysis of new product mix selection at TFT-LCD technological conglomerate network under uncertainty

Cited by 23 publications

References 39 publications

A Linguistic Approach to Measuring the Attractiveness of New Products in Portfolio Selection

A Linguistic Approach to Measuring the Attractiveness of New Products in Portfolio Selection

Criteria Weighting and 4P's Planning in Marketing Using a Fuzzy Metric Distance and AHP Hybrid Method

Using a hybrid MCDM methodology to identify critical factors in new product development

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