Automatic Data Processing, Inc. (NASDAQ: ADP) is a global provider of integrated computing and business outsourcing. ADP has nearly $9 billion in revenues[4] and approximately 570,000 clients.[5] ADP offers a range of HR, payroll, tax and benefits administration. ADP is headquartered in Roseland, New Jersey.[6]


Attractive - The customer is more satisfied when the product has this feature, but is not necessarily dissatisfied if it doesn’t. On a car, for example, an automatically retracting radio antenna is nice to have but its absence wouldn’t make a person choose not to buy the car.
Must-be - The product must have this feature or the consumer would be dissatisfied, but the consumer is neutral about it otherwise, because it’s an expected feature. Continuing with the car example, you expect a car to have good brakes.
One-dimensional - The more of the feature, the better. The better a car’s gas mileage, the happier the consumer is. If it doesn’t have it, people are dissatisfied.
Reverse - The customer does not want the feature and having it means dissatisfaction. An example might be a car’s color.
Indifferent - The customer doesn’t care either way. Having the feature doesn’t mean satisfaction or dissatisfaction.
Questionable - The customer’s responses on this feature contradict themselves.
"We had proposed using conjoint but there was a curiosity about this methodology," says Gunilla Broadbent, president of the Worldwide Services Division of BAIGlobal. "The client wanted to see if it might give more nuance. Conjoint gives you values which are linear, which is an advantage. You can really look at the difference in importance between attributes because the level of the utility is totally linear, which makes it easier to interpret but isn’t always totally correct, because there are certain things that, from an emotional point of view, might be more or less important to a person but they don’t come out."

"We were trying to look for an alternative that wouldn’t involve the cost and limitations of the traditional types of trade-off, conjoint and discrete choice," says Joe Lanzetta, director of global marketing research, Carrier Corp. "This approach allowed us to construct a survey where respondents could answer questions on 15 or 20 attributes and give us an idea of the importance of each. In the past we had used conjoint and discrete choice, which are good techniques, but one of the limitations is the number of attributes you can efficiently test. You can test a lot of attributes but it requires setting up more and more scenarios, and that can be time-consuming and expensive."

Broadbent says that while the Kano method does provide insights to the subtle reasons why one feature is preferred over another, the technique isn’t a replacement for conjoint. "This method presents a challenge, especially when you’re dealing with several different languages, to find the right nuance and the right way of expressing it, so we did a lot of pretesting before we were satisfied with the wording. It’s very difficult to always find exact equivalents to what you had in English, and here it’s especially important because if the nuance is wrong, the whole analysis becomes wrong. That’s a drawback to the technique; it is very sensitive to language."

"We had to be a little more careful on translation because we wanted to maintain the meaning of statements like ‘I like it that way.’ You had to make sure that you captured the essence," Lanzetta says.

Measuring price sensitivity was another facet of the research. Respondents were asked to indicate a range of prices, including prices at which they would view the product as so inexpensive that it might be shoddy, those at which it’s a bargain but a quality product, and those at which it’s unaffordable. "As the manufacturer, you have to define the prices, which may be difficult. This way the consumers define the price for you. By asking people how much they’re willing to pay you probably get an unrealistic price, but with the approach we used, you understand where the person is coming from, what is too cheap or too expensive, how big the normal price range is for that person and where it falls," Broadbent says.

Biggest lesson
Working on this study, his second international research project at Carrier, Whitwell says he learned a lot. The biggest lesson is that it’s helpful to have a research company handle the overseas interviewing and coordination. "For the first international project, we took the coordinator role and contacted individual research companies in each of the countries to do the field work. It was not an easy thing for us to do. We ended up spending a lot of time analyzing the results across countries and trying to draw conclusions on a global basis. In this case we used BAIGlobal to perform that function. That made it simpler for us. They had companies that they were familiar in each of the countries that we wanted to conduct research in so they handled a lot of those issues."

Client and research company worked to make sure the translation was accurate. After the surveys were translated into the local language, representatives from local Carrier offices in those countries checked the surveys to make sure the technical terminology was translated correctly.

In addition, usage examples and scenarios were tailored to the individual markets, to make them relevant, Whitwell says. "We wanted to give them a good baseline from which to make their comparison. For example, when we talked to commercial customers, we gave them a price and a system capacity that they would commonly consider putting into their application. We did the same for the residential customers. In Italy, for example, the typical application for a residential customer might be a bedroom, so he’s going to have a different capacity size than the residential customer in Korea, who might place it in his living room, and the pricing would be different, so we came up with a range of prices and applications depending on who was being asked the questions."

Opportunity exists
The research gave Carrier a good handle on the importance of the various features and confirmed company suspicions that it might be worthwhile to begin marketing products with features customized to the individual markets and applications, Whitwell says. "We had budgeted a certain amount of money in the cost of the product for the control features, and we wanted to provide the most valued features that we could for the cost that we had budgeted. If it was a ‘must-be,’ then we had to figure out the most cost-effective way to provide this feature. If it’s ‘one-dimensional,’ we have to make a judgement as to how much we can spend on it and what level to provide. ‘Attractive’ features we could put in if we had money left in our controls budget; ‘neutral’ we wouldn’t spend money on.

As indicated previously, this paper will initially base its findings through quantitative research methods because this allows iterative and flexible approach. All throughout of data collection the choice and design of methods are persistently modified, based on partial analysis.


Data Analysis Procedures

In global integration context, there are some instances that the used were classified on the basis of intervals of time constitute vital information in the control of business activity, since this the most effective method of showing the changes that are taking place in the business, an industry or in total economic activity. Closely related to the problem of measuring changes in business activity is the making of forecast of future activity. The management of operation requires a continual making of decisions regarding the future and the basis for such forecasts is the record of the past performance.

Data on debt, sales, income, assets, economic indicators or even firm valuation are important in determining the possible future of a certain business. The said data are of interests chiefly in order that the figures for one period maybe compared with similar figures for other figures.

When observations of this kind are arranged in a time sequence and separated by (or represent) more or less regular intervals of time (months, years, decades, etc.), the progression of values is known as a time series. The concept of trend in economic time series rests in large part upon the secular growth of population, capital and resources.

In addition, it would be very helpful in the application of business cycles to business forecasting if we knew, more completely than we do the causes of the different characteristic lengths of the different industry cycles. The vast amount of study that has been devoted to the theory and behaviour of business cycles over the past 30 years has been directed mainly to the discovery of the causes of periodic behaviour of the general business cycle. These studies have been designed to show why there is a periodic movement of some regularity instead of long, slow, and random periods of increase and decrease, in other words, why a fairly regular cyclical fluctuation of business activity is superimposed on the long-term growth or decline in the level of business or why these periodic increases and decreases in activity appear to be self-generating and cumulative. Booms seem to feed on themselves and then destroy themselves.

Apparently, all these changes--trend, seasonal variation, and cycle--can be explained as fluctuations of the rate of spending. The causes of business change are as numerous and as varied as the causes of the variations of the rate of spending. Broadly considered, business cycles are caused, just as other changes in business activity are caused, by changes in the effective demand for goods and services of various kinds, by the three groups of spenders--consumers, business firms, and government bodies. At times, effective demand is so large and so persistent that capacity to business fluctuations touches the periodicity or regularity of recurring movements. For these different periodic characteristics of different industries we have no adequate and satisfactory explanation, and it is these characteristics of different periodic industry cycles which possess the most interest for the business forecaster. It is necessary, as in so many other fields of experimental, empirical knowledge, for the forecaster to use the behaviour of cycles to predict the future whether or not he fully understands the causes of the behaviour we uses. From these details of the behaviour of data, this study will consider collection of information from the staff of mobile phone service companies.
 
Last edited:

jamescord

MP Guru
Automatic Data Processing, Inc. (NASDAQ: ADP) is a global provider of integrated computing and business outsourcing. ADP has nearly $9 billion in revenues[4] and approximately 570,000 clients.[5] ADP offers a range of HR, payroll, tax and benefits administration. ADP is headquartered in Roseland, New Jersey.[6]


Attractive - The customer is more satisfied when the product has this feature, but is not necessarily dissatisfied if it doesn’t. On a car, for example, an automatically retracting radio antenna is nice to have but its absence wouldn’t make a person choose not to buy the car.
Must-be - The product must have this feature or the consumer would be dissatisfied, but the consumer is neutral about it otherwise, because it’s an expected feature. Continuing with the car example, you expect a car to have good brakes.
One-dimensional - The more of the feature, the better. The better a car’s gas mileage, the happier the consumer is. If it doesn’t have it, people are dissatisfied.
Reverse - The customer does not want the feature and having it means dissatisfaction. An example might be a car’s color.
Indifferent - The customer doesn’t care either way. Having the feature doesn’t mean satisfaction or dissatisfaction.
Questionable - The customer’s responses on this feature contradict themselves.
"We had proposed using conjoint but there was a curiosity about this methodology," says Gunilla Broadbent, president of the Worldwide Services Division of BAIGlobal. "The client wanted to see if it might give more nuance. Conjoint gives you values which are linear, which is an advantage. You can really look at the difference in importance between attributes because the level of the utility is totally linear, which makes it easier to interpret but isn’t always totally correct, because there are certain things that, from an emotional point of view, might be more or less important to a person but they don’t come out."

"We were trying to look for an alternative that wouldn’t involve the cost and limitations of the traditional types of trade-off, conjoint and discrete choice," says Joe Lanzetta, director of global marketing research, Carrier Corp. "This approach allowed us to construct a survey where respondents could answer questions on 15 or 20 attributes and give us an idea of the importance of each. In the past we had used conjoint and discrete choice, which are good techniques, but one of the limitations is the number of attributes you can efficiently test. You can test a lot of attributes but it requires setting up more and more scenarios, and that can be time-consuming and expensive."

Broadbent says that while the Kano method does provide insights to the subtle reasons why one feature is preferred over another, the technique isn’t a replacement for conjoint. "This method presents a challenge, especially when you’re dealing with several different languages, to find the right nuance and the right way of expressing it, so we did a lot of pretesting before we were satisfied with the wording. It’s very difficult to always find exact equivalents to what you had in English, and here it’s especially important because if the nuance is wrong, the whole analysis becomes wrong. That’s a drawback to the technique; it is very sensitive to language."

"We had to be a little more careful on translation because we wanted to maintain the meaning of statements like ‘I like it that way.’ You had to make sure that you captured the essence," Lanzetta says.

Measuring price sensitivity was another facet of the research. Respondents were asked to indicate a range of prices, including prices at which they would view the product as so inexpensive that it might be shoddy, those at which it’s a bargain but a quality product, and those at which it’s unaffordable. "As the manufacturer, you have to define the prices, which may be difficult. This way the consumers define the price for you. By asking people how much they’re willing to pay you probably get an unrealistic price, but with the approach we used, you understand where the person is coming from, what is too cheap or too expensive, how big the normal price range is for that person and where it falls," Broadbent says.

Biggest lesson
Working on this study, his second international research project at Carrier, Whitwell says he learned a lot. The biggest lesson is that it’s helpful to have a research company handle the overseas interviewing and coordination. "For the first international project, we took the coordinator role and contacted individual research companies in each of the countries to do the field work. It was not an easy thing for us to do. We ended up spending a lot of time analyzing the results across countries and trying to draw conclusions on a global basis. In this case we used BAIGlobal to perform that function. That made it simpler for us. They had companies that they were familiar in each of the countries that we wanted to conduct research in so they handled a lot of those issues."

Client and research company worked to make sure the translation was accurate. After the surveys were translated into the local language, representatives from local Carrier offices in those countries checked the surveys to make sure the technical terminology was translated correctly.

In addition, usage examples and scenarios were tailored to the individual markets, to make them relevant, Whitwell says. "We wanted to give them a good baseline from which to make their comparison. For example, when we talked to commercial customers, we gave them a price and a system capacity that they would commonly consider putting into their application. We did the same for the residential customers. In Italy, for example, the typical application for a residential customer might be a bedroom, so he’s going to have a different capacity size than the residential customer in Korea, who might place it in his living room, and the pricing would be different, so we came up with a range of prices and applications depending on who was being asked the questions."

Opportunity exists
The research gave Carrier a good handle on the importance of the various features and confirmed company suspicions that it might be worthwhile to begin marketing products with features customized to the individual markets and applications, Whitwell says. "We had budgeted a certain amount of money in the cost of the product for the control features, and we wanted to provide the most valued features that we could for the cost that we had budgeted. If it was a ‘must-be,’ then we had to figure out the most cost-effective way to provide this feature. If it’s ‘one-dimensional,’ we have to make a judgement as to how much we can spend on it and what level to provide. ‘Attractive’ features we could put in if we had money left in our controls budget; ‘neutral’ we wouldn’t spend money on.

As indicated previously, this paper will initially base its findings through quantitative research methods because this allows iterative and flexible approach. All throughout of data collection the choice and design of methods are persistently modified, based on partial analysis.


Data Analysis Procedures

In global integration context, there are some instances that the used were classified on the basis of intervals of time constitute vital information in the control of business activity, since this the most effective method of showing the changes that are taking place in the business, an industry or in total economic activity. Closely related to the problem of measuring changes in business activity is the making of forecast of future activity. The management of operation requires a continual making of decisions regarding the future and the basis for such forecasts is the record of the past performance.

Data on debt, sales, income, assets, economic indicators or even firm valuation are important in determining the possible future of a certain business. The said data are of interests chiefly in order that the figures for one period maybe compared with similar figures for other figures.

When observations of this kind are arranged in a time sequence and separated by (or represent) more or less regular intervals of time (months, years, decades, etc.), the progression of values is known as a time series. The concept of trend in economic time series rests in large part upon the secular growth of population, capital and resources.

In addition, it would be very helpful in the application of business cycles to business forecasting if we knew, more completely than we do the causes of the different characteristic lengths of the different industry cycles. The vast amount of study that has been devoted to the theory and behaviour of business cycles over the past 30 years has been directed mainly to the discovery of the causes of periodic behaviour of the general business cycle. These studies have been designed to show why there is a periodic movement of some regularity instead of long, slow, and random periods of increase and decrease, in other words, why a fairly regular cyclical fluctuation of business activity is superimposed on the long-term growth or decline in the level of business or why these periodic increases and decreases in activity appear to be self-generating and cumulative. Booms seem to feed on themselves and then destroy themselves.

Apparently, all these changes--trend, seasonal variation, and cycle--can be explained as fluctuations of the rate of spending. The causes of business change are as numerous and as varied as the causes of the variations of the rate of spending. Broadly considered, business cycles are caused, just as other changes in business activity are caused, by changes in the effective demand for goods and services of various kinds, by the three groups of spenders--consumers, business firms, and government bodies. At times, effective demand is so large and so persistent that capacity to business fluctuations touches the periodicity or regularity of recurring movements. For these different periodic characteristics of different industries we have no adequate and satisfactory explanation, and it is these characteristics of different periodic industry cycles which possess the most interest for the business forecaster. It is necessary, as in so many other fields of experimental, empirical knowledge, for the forecaster to use the behaviour of cycles to predict the future whether or not he fully understands the causes of the behaviour we uses. From these details of the behaviour of data, this study will consider collection of information from the staff of mobile phone service companies.

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