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database, consisting of 100 observations on 18 separate variables, is based on a market segmentation study of HBAT customers.

INSTRUCTIONS TO CANDIDATES
ANSWER ALL QUESTIONS

Background

HBAT industries (HBAT), is a premium manufacturer of paper products in U.S. Its paper products are used widely in the newsprint industry and the magazine industry both inside and outside of North America. It is a well established company with a fully developed Marketing unit. The company either uses it distribution channels or brokers channel to supply the paper products to the customer. But due to the changing customer perceptions and relationships, the company is facing challenges by newer companies. HBAT management is concerned and wants to change their marketing strategy for the next year to regain its market share. HBAT wants to identify and position itself accordingly to the characteristics of its customers and the relationships between their perceptions of HBAT, and their actions towards HBAT (e.g., satisfaction and likelihood to recommend).

 To help HBAT marketing unit, the management has hired Crimson Consulting Co. (Crimson). Crimson Consulting Co., is an established marketing research company. It has one of the well established lead-user groups. Crimson collected part of the data set through online surveys of HBAT customers completed on a secure website. Crimson contacts purchasing managers and encourages them to participate. To do so, managers log to the web and finish the survey. The survey data are supplemented by other information compiled and stored in HBAT’s data warehouse and accessible through its decision support system. 

Database

The database, consisting of 100 observations on 18 separate variables, is based on a market segmentation study of HBAT customers. As you already know, HBAT sells paper products to two market segments: the newsprint industry and the magazine industry. The paper products are sold to these market segments either directly to the customer, or indirectly through broker.

 Two types of information were collected in the surveys. The first type of information was perceptions of HBAT’s performance on 13 attributes. These attributes, developed through focus groups, a pretest, and variables used in previous studies, are considered to be the most influential in the selection of suppliers in the paper industry. Respondents included purchasing managers of firms buying from HBAT, and they rated HBAT on each of the 13 attributes using a 0-10 scale, with 10 being “Excellent” and 0 being “Poor”. The second type of information relates to purchase outcomes and business relationships (e.g., satisfaction with HBAT and whether the firm would consider a strategic alliance / partnership with HBAT).

 A third type of information is available from HBAT’s data warehouse and includes information

such as size of customer and length of purchase relationship. 

Data information and description

1 Adapted from J. F. Hair Jr. et al., Multivariate Data Analysis, 6th ed., Pearson, New Jersey (2006). 

Brief descriptions of the database variables are provided in Table 1-1, in which the variables are classified as either independent or dependent, and either metric or non-metric. A definition of each variable and an explanation of its coding are provided in the following sections. 

TABLE 1-1 Description of Database variables

Variable Description

Variable Type

Data Warehouse Classification Variables

X1

Customer Type

Non-metric

X2

Industry Type

Non-metric

X3

Firm Size

Non-metric

X4

Region

Non-metric

X5

Distribution System

Non-metric

 

Performance Perceptions Variables

X6

Product Quality

metric

X7

E-Commerce Activities/Website

metric

X8

Technical Support

metric

X9

Complaint Resolution

metric

X10

Advertising

metric

X11

Product Line

metric

X12

Sales Force Image

metric

X13

Competitive Pricing

metric

X14

Warranty and Claims

metric

X15

New Products

metric

X16

Ordering and Billing

metric

X17

Price Flexibility

metric

X18

Delivery Speed

metric

 

Outcome/ Relationship Measures

X19

Satisfaction

metric

X20

Likelihood of Recommendation

metric

X21

Likelihood of Future Purchase

metric

X22

Current Purchase/ Usage Level

metric

X23

Consider Strategic Alliance/ Partnership in Future

Non-metric

 

 Data Classification 

Data Warehouse Classification Variables

As respondents were selected for the sample to be used by the marketing research firm, five variables were extracted from HBAT’s data warehouse to reflect the basic firm characteristics and their business relationship with HBAT. The five variables are as follows:

 

X1

Customer Type

Length of time a particular customer has been buying from HBAT:

 

1= Less than one year

2= Between 1 and 5 years

3= Longer than 5 years

 

 

 

X2

Industry Type

Type of industry that purchases HBAT’s paper products:

0= Magazine industry

1= Newsprint industry

 

 

 

X3

Firm Size

Employee size:

0= Small firm, fewer than 500 employees

1= Large firm, 500 or more employees

 

 

 

X4

Region

Customer Location:

0= USA / North America

1= Outside North America

 

 

 

X5

Distribution System

How paper products are sold to customers:

0= Sold indirectly through a broker

1= Sold directly

 

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