The Impact on Customers` Perception of Product Variety

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P37∼50
P5∼20
The Impact on Customers’ Perception of
Product Variety
Young Ah Kim∗
Abstract
Increasing product variety might have a strong impact on a firm’s business operations such as increasing manufacturing costs and complexity. Increasing product
variety raises the complexity of demand forecasting and matching supply with demand
along the supply chain (Whang and Lee, 1998). Therefore, companies that increase variety in their product lines should also understand the ramifications it may have on all
relevant costs as well other functions performed by its manufacturing, marketing, logistics, purchasing, and engineering departments. Consumers represent a major demand
source for variety with each individual having different quality valuations, tastes or
budget constraints; hence firms strive to satisfy their customers by offering a wide range
of products. Prior research shows that marketers should not overload consumers with
too much variety, as it may confuse consumers. In this paper, the literature on consumer’s variety seeking behavior is presented and a survey of consumers was designed
to better understand the customers’ perception on product variety, especially for consumer electronics and computer hardware products. Data from a survey of one hundred
and ten customers between the ages of 20 and 60 was collected and analyzed. This purpose was to investigate customers’ perception on product variety, when purchasing
computer hardware and consumer electronics products. An attempt was made to answer
the question and summary results are presented in the following paragraphs.
I. Introduction
Product variety can be defined as the range of different models/types offered
within a single product line or category. There are several other definitions of product
variety available in the literature. Fisher et al. (1999) stated that product variety can be
defined in two dimensions: the breadth of the products that a firm offers at a given time
and the rate at which the firm replaces existing products with new products. Martin et al.
(1996) defined two types of variety, spatial variety and generational variety, where spa∗ Research Professor, The Graduate School of International Studies, Korea University.
e-mail: yakim@korea.ac.kr
38 • Korea Review of International Studies
tial variety indicates the variety that a company offers the marketplace at a point in time,
and generational variety means variety across future generations of products. For manufacturing firms, product variety is defined as the various products types or models offered within a product line.
One of the main reasons for increases in variety within a product category is the
consumer. Consumers are the ultimate source of demand for product variety, as each
individual has a preference for different product variants. Companies try to satisfy their
customers by offering products, which ideally satisfy customer needs, in order to increase their sales, market share, and profits. This can also give companies a competitive
advantage by increasing customer value. Multi product firms increase variety within a
single product category to capture the surplus of customers, attracting new customers as
well as retaining existing customers.
II. Relation to Variety and Consumer Behavior
The consumer is one of the major sources of demand for variety. Each individual
is characterized by having different quality valuations, tastes or budget constraints;
hence firms strive to satisfy their customers by offering a wide range of products. Prior
research shows that marketers should not overload consumers with too much variety, as
it may confuse them.
One of the oldest reasons offered in the psychological and consumer behavior
literature as to why consumers seek product variety is that consumers get bored with
current selections and desire something new (Menon and Kahn, 1995; Kahn, 1998).
Consumers typically use a product until an optimal level is reached after which, satiation sets in and the consumer looks for something different (Jeuland, 1978; Mc Alister ,
1982). Few researchers have said that consumers seek variety because of their curiosity
to learn about new things (Raju, 1980; Hirschman, 1980). Another explanation is that
consumers seek variety not because they want to maximize the utility of each choice,
“local maximization,” but rather because they want to maximize the utility over a
stream of choices, “global maximization” (Kahn, 1998).
Larger assortments lead to stronger preferences because they offer more options,
and allow consumers to maintain flexibility when making a purchase decision. Experiments done by Greenleaf and Lehmann (1995) showed that consumers may delay purchases because they are unaware of the distribution of potential alternatives, and are
uncertain of the degree to which the available set of choices is representative of the entire set. Chernev (2003) through a series of experiments identified that consumers without a readily available ideal point are likely to face a rather complex two stage decision,
which might lead to weaker preferences when the assortment is large.
A common assumption is that a larger assortment is beneficial for consumers
since it provides for a best match possibility between the consumer’s preferences and
the products’ offerings. Past research suggests that increasing choices confuse customers (Dhar, 1997) and increases the probability of customers delaying their choice or not
The Impact on Customers’ Perception of Product Variety • 39
choosing at all (Greenleaf and Lehmann, 1995). Malhotra, (1982) investigated the effects of information overload on consumer decision making and found that the respondents felt more certain of their choices as the alternatives in the choice set increased, but
were also confused as the alternatives increased. Kahn (1998) through her research on
consumer behavior found that too much variety could complicate the choice or frustrate
the consumer. As a result, marketers should become more cognizant of customers’ preferences, and reduce information overload. The goal of the marketer is to reduce the
complexity of the assortment and to maximize the satisfaction of the customer.
III. Customers’ Perception of Product Variety
A survey was designed to obtain information regarding the impact on customer
perception of product variety. The survey questionnaire comprises seven questions with
all questions developed through the study of the literature. The survey was designed to
better understand how product variety can affect customer perception, especially with
regards to consumer electronics and computer hardware products. The questionnaire
was distributed to several customers between the ages of 20 and 60. Data was collected
from over 130 customers and 110 were analyzed.
Table 3.1: Survey Sample
Customers Contacted
Responses
Response Rate (%)
130
110
84.6
Number
The collected data was analyzed using different statistical methods with most
questions analyzed using descriptive statistical analysis (charts and frequency distributions). The mean and the variance of the sample were estimated and inferences were
drawn based on the data sample. Questions, which asked participants to rank various
options, were analyzed by assigning points to each option. Finally, points for each option were summed and the total points were used to analyze the data.
Q1. Are you willing to pay higher prices to have more variety / options / models within
a product?
Strongly Agree
Agree
Neither Agree nor Disagree
Disagree
Strongly Disagree
5[]
4[]
3[]
2[]
1[]
* The range of customers’ willingness to pay higher prices was divided into five categories from “Strongly Agree” to “Strongly Disagree”. Each Category represents a number
of points on a declining scale from five to one, where 5 points signifies Strongly Agree,
4 for Agree, 3 for Neither agree nor Disagree, 2 for Disagree, and 1 for Strongly Disagree.
40 • Korea Review of International Studies
Figure 3.1: Response Data Chart for Q1
Paying Highe r Prices for More O ptions/Varie ty
50
Percentage(%)
40
30
20
10
0
Strongly Agree
Agree
Neither Agree
Disagree
nor Disagree
Strongly
Disagree
Mean: 3.4, Standard Deviation: 0.911
As evident from the responses, around fifty-five percent of the customers were
willing to pay higher prices to have a greater variety of products within a product line.
Previous research indicates that companies tend to charge higher prices for offering
more variety of products within the same product line. Pashigian (1988) showed that
price is positively correlated to variety, and Kekre and Srinivasan (1990) showed that
companies with higher prices have higher relative prices. Companies tend to increase
their prices with variety because of increases in their costs (manufacturing, inventory,
etc) when manufacturing more models. The response data indicates that fifty-five percent of the respondents were willing to pay higher prices to have more variety; hence
companies can increase the variety of products they offer, in spite of increases in costs.
Comparision between Male and Female Responses:
Figure 3.2: Response Data Chart for Q1: Comparison between Female and Male
Paying Highe r Price s for More O ptions/ Varie ty
Strongly Disagree
Male
Neither Agree nor Disagree
Female
Strongly Agree
0
10
20
30
P ercentage (%)
* Female: Mean: 3.23, Standard Deviation: 0.848,
Male Mean: 3.53, Standard Deviation: 0.942
40
50
The Impact on Customers’ Perception of Product Variety • 41
The above data shows that forty-five percent of female respondents were willing
to pay more to have more variety. Thirty percent of respondents neither agreed nor disagreed and twenty-three percent of respondents were not willing to pay more to have
more variety. As evident from the responses, around sixty percent of male respondents
were willing to pay more to have more variety. Thirteen percent of respondents were
not willing to pay more to have more variety. We can conclude that the male respondents are willing to pay higher prices to have more options/models to choose from when
compared with female respondents.
Data Classified According to Age:
Figure 3.3. Response Data Chart for Q1: Age Classification
Paying Highe r Price s for More O ptions/varie ty
Percentage (%)
60
Strongly Agree
40
Agree
Neither Agree nor Disagree
Disagree
20
Strongly Disagree
0
20-29
30-39
40-49
50-59
Age
The above chart indicates that more than fifty percent of the respondents between
the ages of 20 and 50 are willing to pay higher prices for more models/options within a
product line. When compared to older customers (50-59), younger and middle aged
customers are willing to pay more for product variety. Despite the increase in costs,
companies can gain by increasing the variety of products targeted to younger and middle-aged customers, as the customers of these age groups are willing to pay more for a
wider selection of options. Companies should consider carefully before deciding to increase the variety of products targeted towards older customers.
Q2. Are you willing to pay more to purchase models released with the latest technologies?
Strongly Agree
Agree
Neither Agree nor Disagree
Disagree
Strongly Disagree
5[]
4[]
3[]
2[]
1[]
42 • Korea Review of International Studies
Figure 3.4: Response Data Chart for Q2
Paying More for Late st Te chnology Products
60
Percentage (%)
50
40
30
20
10
0
Strongly Agree
Agree
Neither Agree nor
Disagree
Strongly Disagree
Disagree
Mean: 3.5, Standard Deviation: 0.906
Over sixty percent of respondents were willing to pay higher prices to purchase
the latest technology products released into the market. From the above data we can
conclude that companies may gain from releasing products into the market with new
and updated technologies. With customers willing to pay more for the latest technology
products, it may be advantageous for companies to invest in the research and development, and develop products with new features and functions.
Comparison between Male and Female Responses:
Figure 3.5. Response Data Chart for Q2: Comparison between Female and Male
Paying More for Late st Te chnology Products
Strongly Agree
60
40
Strongly Disagree
20
Agree
Male
0
Disagree
Female
Neither Agree nor Disagree
*Female: Mean: 3.39, Standard Deviation: 0.88,
Male: Mean: 3.57, Standard Deviation: 0.92
Around fifty-six percent of female and over sixty percent of male respondents
were willing to pay more for the latest technology products. Companies can therefore
conclude that both male and female customers are willing to pay higher prices for prod-
The Impact on Customers’ Perception of Product Variety • 43
ucts released with the latest technologies.
Data Classified According to Age:
Figure 3.6: Response Data Chart for Q2: Age Classification
Paying More for the Late st Technology Products
80
Percentage (%)
Strongly Agree
60
Agree
Neither Agree nor Disagree
40
Disagree
20
Strongly Disagree
0
20-29
30-39
40-49
50-59
Age
The chart clearly indicates that customers between the ages of 20 and 50 are willing to pay more for the latest technology products. However, customers above the age
of 50 are less willing to spend more on the latest technology products. This shows that
companies should focus on customers between the ages of twenty and fifty, as these
customers prefer more variety, are willing to pay higher prices for both more options/models within a product line and the latest technology products.
Q3. You prefer having to choose between several models within a product class because
you have several options before choosing a product.
Strongly Agree
Agree
Neither Agree nor Disagree
Disagree
Strongly Disagree
5[]
4[]
3[]
2[]
1[]
Figure 3.7: Response Data Chart for Q3
More Mode ls
60
Percentage (%)
50
40
30
20
10
0
Strongly Agree
Agree
Neither Agree nor
Disagree
Mean: 4.15, Standard Deviation: 0.756
Disagree
Strongly Disagree
44 • Korea Review of International Studies
The above data clearly indicates that customers want more variety /models
/options to choose from as over eighty-five percent of respondents said that they prefer
to have more variety within a class of product. Customers prefer more variety of products so that they can choose the product that satisfies their needs the most. Past research
indicates that more variety offered in a product enables customers to choose different
options to satisfy their needs. However, manufacturing firms should be cautious before
increasing variety within a single product category. Consumers view products of same
brand as similar, and tend to evaluate the products jointly when making the purchase
decision. This might lead to undesirable local competition, product cannibalism, and
therefore limit sales of the entire product line (Hui, 2004).
Comparison between Male and Female Responses:
Figure 3.8: Response Data Chart for Q3: Comparison between Male and Female
Various Mode ls to have Seve ral O ptions
70
60
Percentage (%)
50
40
Female
30
Male
20
10
0
Strongly
Agree
Agree
Neither Agree
Disagree
nor Disagree
Strongly
Disagree
*Female: Mean: 4.26, Standard Deviation: 0.647
Male: Mean: 4.07 Standard Deviation: 0.822
Over ninety percent of the female respondents and around eighty percent of the
male respondents said that they prefer to have more models/options to choose from before making their final purchase decision. It is clearly evident from the data that consumers prefer more variety. It can be recommended that companies increase the number
of models offered within their product lines.
Q4. What are the factors you consider before selecting a product? Please rank your options. Please rank the most important option as 1 and the least important option as 10.
[ ] Technology [ ] Price [ ] Features provided [ ] Design [ ] Quality
[ ] Size [ ] Performance [ ] Service [ ] Others_________________
The Impact on Customers’ Perception of Product Variety • 45
Respondents were asked to rank the factors they considered before selecting a
product. The factors were ranked (1-8) with the most important factor ranked 1 and the
least important factor ranked 8. Finally, the rank points were summed for each given
option and the average rank calculated. The option with the minimum rank points was
the most important factor customers considered before purchasing a product.
Figure 3.9: Response Data Chart for Q4
Factors
6.490
Service
4.154
P erformance
6.318
Size
3.109
Quality
5.227
Design
3.836
Features
2.918
P rice
3.554
Technology
0
1
2
3
4
5
6
7
Rank
As reported in the chart above, the top factors customers consider before choosing a product are price, quality, technology, and features respectively. The factors that
customers ranked least are performance, design, size, and service.
Even though customers are willing to pay more to have more options and models
to choose from, they are sensitive to the price of the product. Price is the primary factor
customers consider before purchasing a product. Over fifty percent of the customers
agreed that they are willing to pay more for the latest technology products, but seventythree percent of these customers also ranked price in the top four factors they consider
before selecting a product.
Multi-product manufacturing firms should take advantage of the situation that
customers are willing to pay more for the latest technology products, and capture the
surplus customers. Manufacturers can cover their costs, invested in developing and
manufacturing these products by charging more for these latest technology products.
Companies, before making a pricing decision, should keep in mind that even though
customers are willing to spend more on the latest technology products, they remain
price conscious. Therefore, the price of the products should not be so high that the customer might not purchase the product at all since customers might choose an alternative
product offered at lower prices.
46 • Korea Review of International Studies
Comparison between Male and Female Responses:
Figure 3.10: Response Data Chart for Q4: Comparison between Male and Female
Responses
Factors
Technology
7
6
Service
6.521 6.4
3
2.913
2.921
2
P erformance
P rice
53.390
3.782
4
3.531
4.260
1
4.086
Features
4.203
2.891
5.09
3.265
6.37
5.413
Size
6.23
Design
Female
Male
Quality
Female customers ranked both quality and price as the top factors they consider
before selecting a product. As indicated in the above data chart, the top factors male
customers consider before choosing a product are price, quality, technology, and features respectively. The factors that male customers ranked least are performance, design,
size, and service.
Data Classified According to Age:
Figure 3.11: Response Data Chart for Q4: Age Classification
Factors Conside re d Be fore Product Se le ction
7
Rank
6
20-29
5
30-39
4
40-49
3
50-59
2
1
0
Te
Pr i
chn
ce
ol o
gy
Fe
at u
r
es
De
si g
n
Qu
al i
ty
Si z
e
Pe
Se
rfo
rv i
ce
rm
anc
e
The Impact on Customers’ Perception of Product Variety • 47
The top four factors customers between the ages of 20 and 29 consider before
choosing the product are quality, price, technology, and features respectively. The factors that customers ranked as least important are performance, design, size, and service
respectively. The top factors customers between the ages of 30 and 39 consider are price
and quality respectively. They ranked technology and features third. The factors that
customers of this age group ranked as least important are performance, design, service,
and size respectively. The top four factors customers between the ages of 40 and 49
consider before choosing a product are price, technology, performance, and features
respectively. The factors that customers ranked as least important are quality, design,
size, and service respectively. The top factors customers between the ages of 50 and 59
consider before choosing a product are price and quality. They ranked performance and
technology third and fourth respectively. The factors that customers of this age group
ranked as least important are features, design, service, and size respectively.
Q5. Why do you seek variety in the products you purchase? (Check all relevant options)
[ ] Getting bored with the current selection
[ ] Curiosity to learn about things
[ ] Several options to satisfy your needs
[ ] Desire of something new
[ ] To adapt to the changing environment
[ ] Others________________
Figure 3.12: Response Data Chart for Q5
Re asons for See king Varie ty
To have several options to satisfy your need
65.45
To adapt to the changing environment
45.45
Curiosity to learn about things
31.81
Desire of something new
42.72
19.09
0
10
20
30
40
50
60
(%)
Getting bored with the current selection
70
Past research in consumer behavior suggests that consumers seek variety because
of their desire for something new (Menon and Kahn, 1995 and Khan, 1998), curiosity to
learn about new things (Raju, 1980; Hirschman, 1980), to adapt to the changing environment, and because of boredom with the current selection (Khan, 1998). The above
data shows that the majority of customers prefer having more variety of options to satisfy their needs. From a behavioral aspect, over forty percent of respondents said that
they seek variety because of their desire for something new and to adapt to the changing
environment. Around thirty percent of respondents seek variety because of their curiosity to learn about new things. Less than twenty percent of the respondents said that they
seek variety because they are bored with the current products.
48 • Korea Review of International Studies
IV. Conclusions
A common notion until now is that larger varieties of products and a wider range
of options to choose from allow customers to better choose the products that satisfy
their needs the most. This research investigated how the existence of product variety
affects customer perceptions when purchasing computer hardware and consumer electronic products.
Past research indicates that companies tend to increase their prices as the variety
of products they offer increases. Pashigian (1998) showed that price is positively correlated with variety in a time-series study of price and sales data for department stores.
Also, Kekere and Srinivasan (1990) showed that firms with greater varieties offered had
higher prices in a cross-sectional study of over 1,400 business units. The data collected
clearly indicates that consumers prefer more variety (want more options to choose from)
as it offers them the opportunity to better match between their preferences with product
offerings. The results indicate that over fifty percent of respondents were willing to pay
more for a wider selection options to choose from and for purchases of new product
releases having the latest technologies.
Comparing the data for customers willing to pay more for more options / models
with customers willing to pay for the latest technology products, most of them were
willing to spend on the latest technology products. Companies releasing new models
should design models that do not have similar characteristics as the existing ones, and
should release models that have additional features and functionalities. The above data
implies that there is a greater willingness for customers to pay for the latest technology
products, and for products and models with new and updated design, features and functionalities.
Question 4 of the survey tried to determine which factors customers consider before making a purchase decision (in consumer electronic and computer hardware products) in order of importance. The data indicates that, the top four factors consumers consider before purchasing a product are price, quality, technology, and features respectively. The difference in the points assigned to each of these factors is negligible. The
next four factors considered, in the order of their ranks are performance, design, size,
and service.
Correlating the data for questions 1, 2, and 4 indicates consumers give significant weight to the price factor. Seventy-three percent of the respondents who were willing to pay more the latest technology products ranked price within the top four factors
before making a purchase decision, while fifty-two percent of respondents considered
price to be in the top two factors considered before making a purchase decision. Around
seventy-five percent of the respondents who were willing to pay more for variety ranked
price in their top four factors considered before purchasing a product. This data can be
interpreted in two ways. First, even though customers consider that price is one of the
most important factors, they are willing to spend more if the product has updated technology with new features and functionalities. Customers are sensitive to price, although
they are willing to spend more for the latest technology they are not willing to spend a
lot. Manufacturers should recognize that even though customers are willing to pay more
for the latest technology products, and for more models, they are also sensitive about the
The Impact on Customers’ Perception of Product Variety • 49
price. Companies who release new models should offer them at a reasonable price,
which is not too expensive for the customer and which is profitable to firm.
Question 5 intended to study why consumers seek variety in consumer electronics and computer hardware products. Menon and Kahn (1995) and Khan (1998) studied
the variety seeking behavior of consumers and found that consumers seek variety because of their desire for something new, curiosity to learn about new things (Raju, 1980;
Hirschman, 1980), to adapt to the changing environment, and because of boredom with
the current selection (Khan, 1998). The data indicates that customers seek variety
mainly to satisfy their needs. When provided with many options, they are able to find
the product that satisfies their requirements best. Coming to the behavioral aspects, the
option selected most frequently by consumers is the need to adapt to a changing environment, which is closely related to their desire for something new.
With a survey of 110, which is considered to be a good sample size to analyze
the data, it is relatively small to draw inferences about the population.
References
Chernev. A. “When More is Less and Less is More: The Role of Ideal Point Availability and Asortment in Consumer Choice.” Journal of Consumer Research 30,
2003.
Dhar, R. “Consumer Preference for No-Choice Option.” Journal of Consumer Research 24, 1997:215-231.
Fisher, M., K. Ramdas, and K. Ulrich. “Component Sharing in the Management of
Product Variety: A Study of Automotive Braking Systems.” Management Science 45(3), 1999:297-315.
Greenleaf, E.A., and Lehmann, R.D. “Reasons for Substantial Delay in Consumer
Decision Making.” Journal of Consumer Research 22,1995:186-199.
Hirschman, E.C. “Innovativeness, Novelty Seeking, and Consumer Creativity.” Journal of Consumer Research 7, 1980:283-295.
Hui. K.L. “Product Variety Under Brand Influence: An Empirical Investigation of Personal Computer Demand.” Management Science 50(5), 2004.
Jeuland, Abel. “Brand Preference Over Time: A Partially Deterministic Operationalization of the Notion of Variety- Seeking,” in; Research Frontiers in Marketing:
Dialogues and Directions, 43, Educators’ Conference proceedings, American
Marketing Association, Chicago, 1978:33-38.
Kahn, B. “Variety: From the Consumer’s Perspective,” in; Research Advances in
Product Variety Management, Eds. Teck Ho and C. S. Tang, 1998.
Kekre, S., K. Srinivasan. Broader Product Line: A Necessity to Achieve Success.”
Management Science 36, 1990:1216-1231.
Malhotra, Naresh K. “Information Load and Consumer Decision-Making.” Journal of
Consumer Research 8, 1982:419-430.
Martin, M.V. and K. Ishii. “Design for variety: A Methodology for Understanding
Costs of Product Proliferation.” In; Proceedings of the 1996, ASME Design Engineering Technical Conferences and Computers in Engineering Conference, Ir-
50 • Korea Review of International Studies
vine, CA, August 18-22, 1996.
McAlister. L. “A Dynamic Attribute Satiation Model of Variety-Seeking Behavior.”
Journal of Consumer Research 9, 1982:141-150.
Menon, S., And Kahn B.E. “The Impact of Context on Variety-Seeking in Product
Choices.” Journal of Consumer Research 22, 1995:285-295.
Pashigian, B.P. “Demand Uncertainty and Sales: A Study of Fashion and Markdown
Pricing.” American Economic Review 78, 1998, 936-953.
Raju, P.S. “Optimum Stimulation Level: Its Relationship to Personality, Demographics, and Exploratory Behavior.” Journal of Consumer Research 7, 1980:272282.
Whang, S. and H. Lee. “Value of Postponement,” in; Research Advances in Product
Variety Management, Eds. Teck Ho and C. S. Tang, 1998.
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