Autoliv is a Swedish-American company with headquarters in Stockholm, Sweden, that in 1997 sprung from the merger of the Swedish company Autoliv AB and Morton Automotive Safety Products, Inc., a division of the American firm Morton International.
Autoliv develops and manufactures automotive safety systems for all major automotive manufacturers in the world. Together with its joint ventures Autoliv has 80 facilities with more than 43,000 employees in 29 countries. In addition, the company has ten development and engineering centers in nine countries around the world, including 20 test tracks, more than any other automotive safety supplier.The second assumption is that the sample size is adequate. In cross tabulation procedures, cells are formed by the combination of measures. None of the cells should be empty. Expected frequencies of less than five in 2 x 2 tables present problems. In larger tables, many researchers use the rule of thumb that not more than 20% of the cells should have frequencies of less than five (SPSS, 1999; p. 67). If the cells do not contain adequate numbers, then the variables should be restructured to have fewer categories.

The third assumption is that the measures are independent of each other. This means that categories created are mutually exclusive; that is, no subject can be in more than one cell in the design, and no subject can be used more than once. It also means that the response of one subject cannot influence the response of another.

The fourth assumption is that there is some theoretical reason for the categories. This ensures that analysis will be meaningful and prevents “fishing expeditions.” The latter could occur if the researcher kept recategorizing subjects, hoping to find relationship between variables. Research questions and methods for analysis are established before data collection. Although these may be modified to suit the data actually obtained, the basic theoretical structure remains.
software.

Descriptive Statistics

In the descriptive statistics, it is likely that the study will be inexpensive and swift. It can also propose unexpected hypotheses. Nevertheless, this statistics will be very firm to rule out different clarifications and principally deduce causations. This descriptive statistics utilizes observations in the study. In descriptive statistics measures of central tendency (e.g. mean, median, and mode) and measures of dispersion (e.g. standard deviation, range, variance) will be computed.



Correlation[1]

According to Guilford & Fruchter (1973), the strength of the linear association between two variables is quantified by the correlation coefficient. Since this paper is in quantitative approach which is also mainly limited to counting, coming up with frequency and cumulative distributions, and computations of percentages, then these methods of analysis yield facts and data, the uses are quite limited. Facts in and of themselves do not speech much, for instance, of achievement or performance are related to other factors that such phenomena are better understood, predicted and to some extent even controlled.

The basic purposes of sciences are description, explanation, prediction and control. Differences in a performance, for example, are better explained if other phenomena, events or even other performance are used to account for each difference. This is achieved through a process called correlation. In a sense t-tests and F-tests are special cases of correlation. Sometimes such relationship show cause-effect but sometimes it is just plain relationship.

Correlations may either be bivariate (at least) or multivariate. Actually, in this paper, the use of Pearson Product moment correlation is considered. The Pearson Product moment correlation is used if the purpose is to determine the relationship or co-variation between two variables that are usually of the interval type of data. Basically, there are two types of correlation depending on the nature of correlation. Correlation may either be positive or negative. Correlation is positive if the objects, items or cases who got high in one variable are also those who got high in another variable, and those who got low in one variable also got low in the other variable.


Carrier had conducted trade-off research on its line of hi-wall ductfree split air conditioning units, which are used in commercial and residential settings, but that research had focused on issues like efficiency, sound level, size, etc. As designers readied new models, the company wanted to find out which control features (things like timing functions and air distribution options) would be most desirable and feasible, given the amount of money budgeted for control features during product development. In addition, was there an opportunity to make Carrier’s products stand out in the individual foreign markets by offering features customized to those markets?

"Our products and those of our competitors offer a menu of features. We wanted to look at those features currently offered, as well as others we thought were possible, and try to understand which ones were most valued by customers," says Bob Whitwell, director, global ductfree split systems, Carrier Corp.

"We wanted to see if we could use the same product in every market and, if so, what the potential impact of doing that would be on customer satisfaction. We also wanted to understand if there were opportunities for differentiation in individual markets by providing some features that aren’t generally valued on a global basis."

Kano method
Rather than a standard conjoint study, which it had used in the past, Carrier and its research partner, BAIGlobal, Tarrytown, N.Y., conducted face-to-face interviews with potential commercial and residential users of the ductfree systems in Italy, Spain, Korea and Singapore using the Kano method.
 
Last edited:

jamescord

MP Guru
Autoliv is a Swedish-American company with headquarters in Stockholm, Sweden, that in 1997 sprung from the merger of the Swedish company Autoliv AB and Morton Automotive Safety Products, Inc., a division of the American firm Morton International.
Autoliv develops and manufactures automotive safety systems for all major automotive manufacturers in the world. Together with its joint ventures Autoliv has 80 facilities with more than 43,000 employees in 29 countries. In addition, the company has ten development and engineering centers in nine countries around the world, including 20 test tracks, more than any other automotive safety supplier.The second assumption is that the sample size is adequate. In cross tabulation procedures, cells are formed by the combination of measures. None of the cells should be empty. Expected frequencies of less than five in 2 x 2 tables present problems. In larger tables, many researchers use the rule of thumb that not more than 20% of the cells should have frequencies of less than five (SPSS, 1999; p. 67). If the cells do not contain adequate numbers, then the variables should be restructured to have fewer categories.

The third assumption is that the measures are independent of each other. This means that categories created are mutually exclusive; that is, no subject can be in more than one cell in the design, and no subject can be used more than once. It also means that the response of one subject cannot influence the response of another.

The fourth assumption is that there is some theoretical reason for the categories. This ensures that analysis will be meaningful and prevents “fishing expeditions.” The latter could occur if the researcher kept recategorizing subjects, hoping to find relationship between variables. Research questions and methods for analysis are established before data collection. Although these may be modified to suit the data actually obtained, the basic theoretical structure remains.
software.

Descriptive Statistics

In the descriptive statistics, it is likely that the study will be inexpensive and swift. It can also propose unexpected hypotheses. Nevertheless, this statistics will be very firm to rule out different clarifications and principally deduce causations. This descriptive statistics utilizes observations in the study. In descriptive statistics measures of central tendency (e.g. mean, median, and mode) and measures of dispersion (e.g. standard deviation, range, variance) will be computed.



Correlation[1]

According to Guilford & Fruchter (1973), the strength of the linear association between two variables is quantified by the correlation coefficient. Since this paper is in quantitative approach which is also mainly limited to counting, coming up with frequency and cumulative distributions, and computations of percentages, then these methods of analysis yield facts and data, the uses are quite limited. Facts in and of themselves do not speech much, for instance, of achievement or performance are related to other factors that such phenomena are better understood, predicted and to some extent even controlled.

The basic purposes of sciences are description, explanation, prediction and control. Differences in a performance, for example, are better explained if other phenomena, events or even other performance are used to account for each difference. This is achieved through a process called correlation. In a sense t-tests and F-tests are special cases of correlation. Sometimes such relationship show cause-effect but sometimes it is just plain relationship.

Correlations may either be bivariate (at least) or multivariate. Actually, in this paper, the use of Pearson Product moment correlation is considered. The Pearson Product moment correlation is used if the purpose is to determine the relationship or co-variation between two variables that are usually of the interval type of data. Basically, there are two types of correlation depending on the nature of correlation. Correlation may either be positive or negative. Correlation is positive if the objects, items or cases who got high in one variable are also those who got high in another variable, and those who got low in one variable also got low in the other variable.


Carrier had conducted trade-off research on its line of hi-wall ductfree split air conditioning units, which are used in commercial and residential settings, but that research had focused on issues like efficiency, sound level, size, etc. As designers readied new models, the company wanted to find out which control features (things like timing functions and air distribution options) would be most desirable and feasible, given the amount of money budgeted for control features during product development. In addition, was there an opportunity to make Carrier’s products stand out in the individual foreign markets by offering features customized to those markets?

"Our products and those of our competitors offer a menu of features. We wanted to look at those features currently offered, as well as others we thought were possible, and try to understand which ones were most valued by customers," says Bob Whitwell, director, global ductfree split systems, Carrier Corp.

"We wanted to see if we could use the same product in every market and, if so, what the potential impact of doing that would be on customer satisfaction. We also wanted to understand if there were opportunities for differentiation in individual markets by providing some features that aren’t generally valued on a global basis."

Kano method
Rather than a standard conjoint study, which it had used in the past, Carrier and its research partner, BAIGlobal, Tarrytown, N.Y., conducted face-to-face interviews with potential commercial and residential users of the ductfree systems in Italy, Spain, Korea and Singapore using the Kano method.

hey friend,

please check attachment for Annual Report on Autoliv, Inc.
 

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