Influence of product life cycle stage on consideration set size: the case of 'think products'

2010 ◽  
Vol 10 (1) ◽  
pp. 41-55 ◽  
Author(s):  
Fumiaki Kikuchi
Keyword(s):  
Life Cycle ◽  
Product Life Cycle ◽  
Life Cycle Stage ◽  
Consideration Set ◽  
Product Life ◽  
Set Size

Linking Balanced Scorecard Measures to Size and Market Factors: Impact on Organizational Performance

2000 ◽  
Vol 12 (1) ◽  
pp. 1-17 ◽  
Author(s):  
Zahirul Hoque ◽  
Wendy James
Keyword(s):  
Life Cycle ◽  
Organizational Performance ◽  
Balanced Scorecard ◽  
Product Life Cycle ◽  
New Products ◽  
Life Cycle Stage ◽  
Manufacturing Companies ◽  
Organization Size ◽  
Market Position ◽  
Product Life

This paper examines the relationship between organization size, product life-cycle stage, market position, balanced scorecard (BSC) usage and organizational performance. Using financial and nonfinancial measures, the BSC appraises four dimensions of performance: customers, financial (or shareholders), learning and growth, and internal aspects. Based on a survey of 66 Australian manufacturing companies, the paper suggests that larger firms make more use of a BSC. In addition, firms that have a higher proportion of new products have a greater tendency to make use of measures related to new products. A firm's market position has not been found to be associated significantly with greater BSC usage. The paper also suggests that greater BSC usage is associated with improved performance, but this relationship does not depend significantly on organization size, product life cycle, or market position.

scholarly journals Classification of product life cycle cluster to improve the performance of SMEs apple chips

Food Research ◽  
2020 ◽  
Vol 4 (6) ◽  
pp. 1859-1866
Author(s):  
C. Novia ◽  
I. Santoso ◽  
S. Soemarno ◽  
R. Astuti
Keyword(s):  
Life Cycle ◽  
Product Life Cycle ◽  
Life Cycle Stage ◽  
Product Life ◽  
Improved Performance ◽  
And Performance ◽  
Stage 1 ◽  
Consumer Tastes

Improved performance of apple chip SMEs in Malang Raya is strongly influenced by groups based on the product life cycle classification. The purpose of this study was to classify apple chip SMEs based on the results of the classification at the product life cycle stage, determine the prediction of apple chip sales and improve the performance of apple chip SMEs in Malang Raya. The research location was in Malang Raya area which consists of Malang Regency, Malang City, and Batu City. Data collection was obtained from thirty-one respondents who were the owners of apple chips SMEs in Malang Raya. Data analysis for cluster classification used the product life cycle stage and performance improvement using artificial neural networks for prediction of sales production and determination of dominant variables based on Cronbach's alpha and dominant indicators based on corrected item-total correlations. The results showed that stage 1 was 2 SMEs, stage 2 was 16 SMEs, stage 3 was 11 SMEs and stage 2 was SMEs. Improving the performance of apple chip SMEs in Malang Raya through sales predictions in 2019-2023 is more focused on improving innovation through the ability to see the development of consumer tastes and follow the development of technology related to product processing and marketing.

Study on Geometric Tolerances Information in Integrated Manufacturing Processes

2010 ◽  
Vol 37-38 ◽  
pp. 1292-1295
Author(s):  
Yan Chao ◽  
Hai Feng Zhang ◽  
Li Qun Wu
Keyword(s):  
Life Cycle ◽  
Data Model ◽  
Manufacturing Process ◽  
Product Life Cycle ◽  
Critical Role ◽  
Manufacturing Processes ◽  
Product Life ◽  
Internet Technologies ◽  
Geometric Tolerance ◽  
Geometric Tolerances

Tolerance information plays a critical role in many steps of the product life cycle. It is especially important due to the advances in Internet technologies and increasing integration requirements from industry. In this paper, geometric tolerances information in manufacturing process (IMP) is studied, and the layered conformance level of geometric tolerances is established according to ASME Y14.5-1994, STEP and DMIS. An EXPRESS-G data model of geometric tolerance information in IMP is established. The XML language is used to represent and program the geometric tolerances information in IMP.

Sign in / Sign up

Export Citation Format

Share Document