Managing Design Complexity to Improve on Cost, Quality, Variety, and Time-to-Market Performance Variables

1997 ◽  
Author(s):  
Spiridon (Spyros) Vassilakis (Vasilakis)
2017 ◽  
Vol 6 (2) ◽  
pp. 1
Author(s):  
Edward J. Lusk ◽  
Michael Halperin

In this third examination of the CapitalCubeÔ Market Navigation Platform [CCMNP] we have selected the previously vetted set of embedded variables: Market Performance Variables [MPV] for their Linguistic Qualifiers [LQ] considering their directional market effects or MPV[LQ[{Neutral: Unfavorable: Favorable}]]. In the testing, we are interested in the Sensitivity and the Specificity of these vetted variables over the annual S&P500 Panel from 2005 to 2013. The inference framework employed a Median Split: High or Low for each of the 13 MPV tested and a random selection to avoid the FPE-jeopardy that is part of the Chi2 testing model. We used the Tamhane & Dunlop cut-off to identify Chi2 cells effects of interest and used these to develop the Sensitivity and the Specificity tests. Results: We were able to reject the a priori Nulls proffered for the testing protocols indicating that one may reject the supposition that the labeling of the LQ is formed by random processes in the CCMNP.     


2018 ◽  
Vol 22 (04) ◽  
pp. 1850034 ◽  
Author(s):  
GREGORY STOCK ◽  
NOEL GREIS ◽  
WILLIAM FISCHER

Using archival data from two different industries, this paper examines the relationship between organisational slack and new product time to market performance. Prior research has shown that there is a relationship between slack and performance, but this prior research has primarily considered slack as it relates to financial performance or the innovativeness of a firm or its products. In this paper, using data from the computer modem and video game industries across more than 40 years, we test the hypotheses relating organisational slack time to market performance for new products. Cox regression analysis in general supports the hypothesised relationships, although there are some differences in the exact nature of the relationship across the two industries. We conclude by discussing the implications of these results for research and practice.


Author(s):  
Augustine I. Duru ◽  
Raghavan J. Iyengar

This paper investigates the relationship between several different CEO compensation components and several firm performance metrics using canonical correlation analysis (CCA).  The principal findings presented in this paper offer evidence supporting the pay-performance relationship in corporate America. CEOs bonuses   are closely associated with accounting measures of performance whereas CEO’s long-term compensation is directly linked to firm’s market performance.  Furthermore, a substantial portion of the variance in CEOs bonus is explained by firm performance variables.  Firm performance measures have some predictive power for CEO bonus but very little predictive power for other compensation measures.


Controlling ◽  
2001 ◽  
Vol 13 (4-5) ◽  
pp. 211-218
Author(s):  
Bernd Wiedemann ◽  
Torsten Büssow
Keyword(s):  

Author(s):  
Valerio Viero ◽  
Tamara Triossi ◽  
Daniele Bianchi ◽  
Alessandro Campagna ◽  
Giovanni Melchiorri

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