Dear Sir could you provide answers for few of the questions 1. Name three products that are culturally unacceptable. What marketing strategies would use to overcome their cultural resistance? 2. Illustrate with suitable example about various sampling techniques used inmarketing research. Suggest a suitable sampling plan to collect information from the students of a university regarding the recreation facility available. 3. Critically examine the globe – hex strategies for the Indian government. 4. Comment on this statement. “Often neither the least expensive strategy nor the most expensive may be the most productive strategy”. Many thanks for you inputs Regards Girish.H
ANSWER: 1.Name three products that are culturally unacceptable. What marketing strategies would use to overcome their cultural resistance? Socially unacceptable products were defined as those products(and
services) that despite consumer satisfaction are considered by large portions of society to be unacceptable because of the potential and/or actual harm to individuals and/or society.
Examples include cigarettes, alcoholic beverages, gaming, violent video games, pornography and firearms. In social marketing terms these are ‘pleasing’
products, that is, they give short run pleasure but cause long run harm Therefore, these companies are profitable and their consumers
are satisfied with the products. However, large sections of the community believe these products to be harmful and expect such companies to become more 'socially responsible.' This poses a dilemma for such companies - how can they become more socially responsible without negatively affecting their relationship with their consumers and stockholders? Yet if they don't take up the challenge of social responsibility then they can expect greater
government interference and regulation in their industries. This paper explores this dilemma in relation to institutional legitimacy and how governments and social marketers can leverage these companies' desire for institutional legitimacy
Concerns in Relation to Socially Unacceptable Products
Concerns by companies marketing socially unacceptable products include legitimacy, legal problems, rites of passage and paranoia(Davidson(2003). In relation to legitimacy, socially unacceptable products have clearly lost some degree of legitimacy .
Legitimacy is defined as 'a generalised perception or assumption
that the actions of an entity are desirable, proper or appropriate within a socially constructed system of norms, values, beliefs and definitions.' The most telling sign of loss of legitimacy is that socially unacceptable product categories are taxed(a ‘sin’ tax). Another sign is that other businesses try to distance themselves from businesses producing socially unacceptable products. Davidson cites the case of Kimberly-Clark shareholders who did not want the
company to supply paper to cigarette manufacturers .
Legal problems arise from the addictive nature of socially unacceptable products. Of the products , cigarettes are the most addictive since they are
physically addictive. Alcoholic beverages are perhaps the next most addictive(physically and
psychologically) due to ready access to the products. Other socially unacceptable products are psychologically addictive. Gambling, or ‘gaming’ as it is now known to reduce connotations with the concept of gambling and to imply that gaming is something different and more about
‘games’, is addictive to susceptible people and causes harm due to social disruption and criminal activities. Violent video games and pornography are perhaps on an equal level in terms of addictive qualities. Lastly, fast food hamburgers have been in the spotlight as being possibly chemically addictive due to changes in the brain chemistry, although the addictive
properties of fast foods have yet to be proven . Since socially
unacceptable products are addictive, companies involved with socially unacceptable products
are very profitable).
Socially unacceptable products, with the possible exception of fast food hamburgers, are also associated with the rite of passage from adolescence to adulthood. Therefore, producers of these products promote them in this way. They are communicated as being exciting because
sampling such products means that the young consumer has joined the adult world, something they are keen to do. Of course, most teenagers do not wait to become adults before trying these products. Company sponsored campaigns to encourage young adults not to smoke
appear to have the opposite effect, since the message is that when you are old enough you can make the ‘choice’ of smoking. Alcohol advertising is geared towards acceptance of alcohol
consumption as a demonstration of good old fashioned ‘mateship’ which young males are
culturally expected to emulate. ‘Don’t drink and drive’ emphasises not driving rather than not
drinking, despite the fact that the two usually go hand in hand with young males.
To counteract the paranoia that companies producing socially unacceptable products
experience as a result of community criticism, and sometimes anger, they often engage in
programs to show how socially responsible they are. McDonalds contributes to the local community and has now developed a healthy choices menu which few enjoy. This is demonstrated by the results of a New Zealand marketing communication campaign to
promote the healthy choices menu. Although there was a 12 percent increase in sales during the campaign, only 40 percent came from the two new menu items of Salads Plus and HeaLTHY Meal Choices. The remaining increase was from the consumption of the McDonalds
‘unhealthy choices’ menu concluded that people felt more comfortable eating the traditional menu items because the
brand had been repositioned as somewhat healthy.
A dilemma exists for companies providing socially unacceptable products since although greater social responsibility implies greater legitimacy and hence less government
intervention and regulation, socially responsible behaviour is logically incompatible with the wants of two major stakeholder groups - consumers who want greater access to the products
and guilt free enjoyment - and stockholders who are interested in more sales leading to bigger profits. Therefore, governments and social marketers should do more to leverage this need for legitimacy
Strategic Legitimacy for Providers of Socially Unacceptable Products
three forms of institutional legitimacy; moral legitimacy,
cognitive legitimacy and strategic legitimacy. The form of legitimacy which characterises of
providers of socially unacceptable products is strategic legitimacy, which is '…sought
outwardly by the organization as an appeal to key constituents', and '…is a resource to be
extracted from society according to a utilitarian calculus of whether the costs and benefits of
legitimacy are necessary to achieve the ends of continued organizational activity'
). In other words, legitimacy is a strategy for providers of socially
unacceptable products to continue their activities without further interference of governments
and/or increased pressure from community groups.
Ironically, because companies involved in socially unacceptable products are so profitable,
they have ample financial resources available to demonstrate socially responsible behaviour.
However these companies tend to steer clear of corporate social responsibility activities
designed to solve the problems that the products create. For example, New Belgium Brewing Company focuses on environmental issues The Gambling Community Benefit Fund(resourced from
taxes on casinos) distributes grants to assist not-for-profit groups and volunteer-based
organisations around the State. 'Since 1994, the fund has distributed almost $308 million to
28,985 projects. With this support, local organisations have produced visible social and
economic benefits for their communities' British American Tobacco runs ‘responsible
marketing’ campaigns to tell children that smoking is an adult custom, making smoking more
attractive to children(
Most providers of socially unacceptable products have a portion of their websites devoted to
reports of their corporate sustainability. The Altria Group Inc.(formerly Phillip Morris)
portion of the website dedicated to Corporate Social Responsibility states:
“We’ve been living with the consequences of losing the public’s trust for some time now.
And as we work to rebuild that trust, we’ve learned tough lessons about the crucial line that
separates what’s legal –and society’s sense of what’s right.'
This eloquent ‘doublespeak’(Lutz 1987) demonstrates that the company is only too aware of
how important strategic legitimacy is to their business because they actually write about the
line between the legal and the legitimate. Another example is the Fosters ‘enjoy responsibly’
slogan().
The Responses of Governments to Socially Unacceptable Products
Social marketing programs which relate to socially unacceptable products include education,
fear advertising and intervention programs in an attempt to limit the consumption of socially
unacceptable products. For example, promotion campaigns in Queensland include the
‘gamble responsibly’ campaign, the ‘healthy eating’ campaign, and ‘drink smart’. The
Australia-wide QUIT program for smoking cessation is well known.
While governments conduct and/or assist in sponsoring campaigns to reduce consumption of
socially unacceptable products, they also profit from the companies that produce them in the
form of revenue derived from taxes on gambling and excise on alcohol and cigarettes. For
example, '…in the 12 months to January 2008, total losses to gaming machines in Queensland
reached $1.769 billion – nearly $5 million a day – while the number of pokies grew by more
than 500 to nearly 42,000. The spin-off for the Government is an expected $557 million in
pokie taxes and levies this financial year '(The Courier Mail, March 13, 2008).
However, it is easily argued that making socially unacceptable products illegal leads to other
social harms such as corruption in government agencies such as the police force, and black
markets. Therefore intervention by governments, in the form of regulations, taxation and
excise, seems like the lesser of two evils. This gives providers of socially unacceptable
products leverage in terms of their ability to project a socially responsible image. In fact it is
the use of legitimacy as '…a retrospective process in which managers purposely manipulate
their own goals to simply give the appearance of closer alignment to the current values and
interests of society(
Despite these efforts of various sectors within governments(Departments of Health for
example) the overall approach of politicians is ambivalent. Businesses providing socially
unacceptable products can be generous contributors to political parties, they have strong
pressure groups, and in many cases their CEOs have a prominent place in the business world.
Australasian Associated Brewers(a body which covers Australia and New Zealand) describes
itself as 'very policy focused, representing manufacturing brewers in legislative and regulatory
affairs and is supported in that work by an active membership of major brewers in both
countries.' On their website(www.aab.org.au/site/index.php) they refer to their social
responsibility efforts in relation to three areas; health, education and advertising. In terms of
advertising the body proudly promotes its involvement in the Alcohol Beverage Advertising
Code. However further investigation of the actual complaints dealt with by this code in 2006
ABAC Scheme Annual Report 2006) reveals that complaints about advertising of alcohol are
related to taste, decency and sexism rather than deeper issues such as promoting alcohol as a
rite of passage or an essential element of mateship. It could be said that companies producing
socially unacceptable products have managed their strategic legitimacy very well.
Legitimacy as Leverage
It appears that providers of socially unacceptable products have had a comfortable time in
relation to the way in which they use socially responsibility as a form of strategic legitimacy.
It is time to tip the balance to favour community concerns. I propose that governments use the
desired institutional legitimacy of these providers of socially unacceptable products as a
leveraging point.
To begin this process, government regulations on the promotion of socially unacceptable
products need to reflect changing societal values more accurately. Concerns about childhood
obesity should be mirrored in regulations concerning the advertising of fast and unhealthy
food. Advertising showing alcohol as a social lubricant and part of normal adult life needs to
be eliminated.
The type of government intervention that providers of socially unacceptable products(and
consumers and stockholders) fear most is reduced accessibility to the products because this
affects profits directly. In Norway, off sales of alcohol, that is, sales to customers outside of a
bar, are controlled by the state-run Vinmonopolets. More must be done by governments to
restrict supply, especially to the most vulnerable. Leaving this to providers of socially
unacceptable products does not work. For example, in Queensland, …'poker machine venues
have banned only 34 people from their gaming floors, while about 1100 problem gamblers
have banned themselves. This is a small proportion of the Government's own estimate of
14,000 problem gamblers in Queensland'(The Courier Mail, 10 June, 2008).
Conclusion
Companies providing socially unacceptable products have used greater social responsibility to
gain institutional legitimacy and therefore less government intervention and regulation, even
though socially responsible behaviour is logically incompatible with the wants of two major
stakeholder groups - consumers and stockholders. Form this position they have been very
good at using corporate social responsibility as a pathway to strategic institutional legitimacy
without doing any more than applying their ample profits to social responsibility efforts
unrelated to the problems their products cause, and including social responsibility as an issue
that they are 'dealing with', as they proudly announce on their websites. In this way they have
been able to avoid greater government intervention.
Governments have been slow to respond to community concerns regarding socially
unacceptable products. Much debate about the best way to resolve these concerns without
banning the products takes place and various strategies are tried, including social marketing
campaigns, with limited success. Self- regulation by the industry bodies that represent
providers of socially unacceptable products does not work as shown in this paper by examples
such as how few gamblers are banned from casinos by the management, how complaints
about the advertising of alcohol 'resolved' by industry bodies are about to trivial matters
unrelated to the real issues such as projecting alcohol as an essential component of mateship,
and how fast food providers use a 'healthy foods' menu to improve their brand image.
Governments have the option to leverage the desire of these companies for legitimacy. This
requires greater focus on strategies and laws that make providers of socially unacceptable
products socially accountable. 1
the reasons for multicultural advertising[
People tend to live within their cultural boundaries; i.e., people have their own cultural values and norms, which influence the way they think, feel and act. People in a particular ethnic group tend to share the language, customs, values, and social views, and these influence people’s cognitive(beliefs and motives), affective(emotion and attitude) and behavioral(purchase and consumption) processes. Based on this notion of “advertising as a mirror,” cultural values and standards are implanted in ads in such a way that consumers can “see themselves” and identify with the characters in the ads and feel affinity with the brands.
Value of Multicultural Marketing[
Multicultural marketing can have a positive influence on "mainstream" marketing in a variety of ways:
• Innovation: Charting a multicultural marketing strategy goes beyond identifying communications programs and promotions tailored to these markets. Multicultural marketing is an engine for innovation.
• Growth: If multicultural segments are growing at higher rates than the general population, it implies that they are also consuming most products at higher rates than the rest
• Globalization: Once a corporation acknowledges the value of multicultural marketing and begins investing in research and development of products and new marketing capabilities, these can be leveraged in the global environment.
Skills required[
It is suggested that the following skills are required in the field of multicultural marketing.[1]
1. To spot patterns that allow subcultures to be grouped together, so that a common marketing strategy may be extended to several subcultures in a group(“transcultural” marketing)
2. To develop a distinct marketing strategy for each subculture, if there is a significantly distinct cultural dimension that is important to the specific culture(multicultural marketing)
3. To further segment audiences in a subculture, if needed, in terms of cultural affinity, cultural identity or acculturation level(tactical adaptation within a subculture)
4. To develop parameters of culturally acceptable marketing stimuli; and
5. To establish a protocol for measuring cultural effectiveness of the stimuli.
This process is also known as ethnic marketing.[2]
Creating a multicultural marketing strategy[
Multicultural marketing focuses on customizing messaging and marketing channels for each target group, as opposed to simply translating a general message into different languages, or including token representation of different ethnic groups in imagery.[3]
Multicultural marketing is also complicated by the degree of mainstream cultural assimilation within ethnic groups themselves. Some segments, such as recent immigrants, may highly prefer use of their mother tongue, have limited proficiency in the local language, and be highly geographically concentrated. Other groups, such as second-generation individuals born in the new homeland, may be bicultural but have less proficiency in their parent's mother tongue and be more geographically dispersed.
An ethnic marketing strategy is developed around the values and attitudes distinctive to a particular ethnic group, and generally includes the following aspects:
• Identification and collaboration with community leaders
• The promotion of culture, symbols and celebrations important to a precise target
• Enhancing and focusing on the cultural uniqueness of ethnic group
1) Understand cultural differences in communication patterns, values, and behavior in the target ethnicities. 2) Assess cultural affinity among ethnic audiences. 3) Segment the ethnic audiences based on the level of cultural affinity, 4) Evaluate the need for adjustments in strategy and tactics. 5) Explore culturally acceptable/unacceptable, sensitive/insensitive advertising messages among the identified segments, 6) Develop the most effective and efficient advertising tactics targeted to the identified segments. 7) Evaluate the effectiveness of advertising campaigns among different target segments. ##########################################################
2. Illustrate with suitable example about various sampling techniques used in marketing research. Suggest a suitable sampling plan to collect information from the students of a university regarding the recreation facility available. A "sample" is a miniature representation of and selected from a larger group
or aggregate. In other words, the sample provides a specimen picture of a
larger whole. This larger whole is termed as the "population" or "universe".
In research, this term is used in a broader sense; it is a well defined group
that inay consist of individuals. objects, characteristics of hunlati beings, or
even the behaviour of inanimate objects, such as, the throw of a dice 01. the
tossing of a coin.
It It is not possible to include all units of'a populatio~li n a study in ordcs to
arrive at a valid conclusion. Moreover, the sizes of populations are often so
large that the study of all the units would not only be expensive but also
cumbersome and time consuming. For example, there are more than fifty
thousand undergraduate students in IGNOU. For our research, it is impossible
to collect information about the study habits of all these students. So, a
researcher will have to select a representative few, i.e., a sample from the
population of the survey. This process is kilowil as sampling.
Representativeness and Adequacy
Basically there are two requirements of a sample: it has to be
'representative' and adequate. If the nature of the population has to be
Methods of Sampling
interpreted from a sample, it is necessary for the sample to be truly
representative of the population. Moreover, it calls for drawing a
representative 'proportion' of the population. The population may contain a
finite number of members or units. Sometimes, the population may be
'infinite' as in the case of air pressure at various points in the atmosphere.
Therefore, a population has to be defined clearly so that there is no
ambiguity as to whether a given unit belongs to the'population or not.
Otherwise, a researcher will not know what units to consider for selecting a
sample. For example, we want to understand the study habits of distance
education students. Here, the population is not well defined : we are not told
about the universityluniversities that have to be included in this survey.
After all, there are more than fifty universities in India, that provide distance
education and there are about nine state open universities. Hence, to define
it accurately, we have to specify the group as, say, undergraduate students of
IGNOU.
The second issue related to the representation of a sample is'to decide about
the 'sampling frame', i.e., listing of all the units of the population in
separate categories. In the above study, there can be different sampling
I frames, such as malelfemale students, employed/unemployed students, etc.
The sampling frame should be complete, accurate and up-to-date, and must
1 be drawn before selecting the sample.
Thirdly, a saniple should be unbiased and objective. Ideally, it should
provide all information about the population from which it has been drawn.
Such a sample, based on the logic of induction, i.e., proceeding from the
particular to the general, falls within the range of random sampling errors.
This leads us to the results expressed in terms of "probability".
A sample should not only provide representativeness, but should also be
adequate enough to render stability to its characteristics. What, then, is the
ideal size of a sample? An adequate sample is the one that contains enough
cases to ensure reliable results. If the population under study is
homogeneous, a small sample is sufficient. However, a much larger sample
is necessary, if there is greater variability in the units of population. Thus
the procedure of determining the sample size varies with the nature of the
characteristics under study and their distribution in the population.
Moreover, the adequacy of a sample will depend on our knowledge of the
population as well as on the method used in drawing the sample. For .
example, if we try to find out the study habits of undergraduate students of
Lady Irwin College, Delhi, the population will obviously be more
homogeneous than the population of undergraduate students of IGNOU,
with respect to socio-economic status, employment of students or study
hours available. However, it should be understood that the adequate size of
the sample does not automatically ensure accuracy of results. METHODS OF SAMPLING
In the last section, we suggested that the method used for drawing a sample
is significant to arrive at dependable results or conclusions. With this fact in
view,'here in this section, we shall now talk about the various samp.l ing.
methods. Sampling methods can be broadly classified into two categories:
i) Probability Sampling
ii) Non-probability Sampling
I.3 .1 Probability Sampling
Probability sampling is based on random selection of units from a
population. In other words, the sampling process is not based on the
discretion of the researcher but is carried out in such a way that the
probability of every unit in the population of being included is the same.
For example, in the case of lottery, every individual has equal chance of
being selected. Some of the characteristics of a probability sample are :
i) each unit in the sample has some probability of entering the sample,
ii) weights appropriate to the probabilities are used in the analysis 01
the sample and
iii) the process of sampling is automatic in one or more steps of the
selection of units in the sample.
Probability sampling can be done tlwough different methods, each method
,having its own strengths and limitations. A brief account of these is give11
below:
Methods of sampling
Simple or unrestrieted random sampling
Simple random sampling is a method of selecting a sample from a finite
population in such a way that every unit of the population is given an equal
chance of being selected [see item(i) above]. In practice, you can draw a
simple random sample unit by unit through the following steps:
i) Define the population
ii) Make a list of all the units in the population and number them from
1 to n.
iii) Decide the size of the sample, or the number of units to be included
in the sample.
iv) Use either the 'lottery method' or 'random number tables' to pick
the units to be included in the sample.
I
For example, you may use the lottery method to draw a random sample by
using a set of 'n' tickets, with numbers ' 1 to n' if there are 'n' units in the
population. After shuffling the tickets thoroughly, the sample of a required
size, say x, is selected by picking the required x number of tickets. The
units which have the serial numbers occurring on these tickets will be
considered selected. The assumption underlying this method is that the
tickets are shuffled so that the population can be regarded as arranged
randomly. Similarly, while selecting 500 students from the total population
of 50000 undergraduate students of IGNOU, you will write the roll numbers
of all the students on small pieces of paper. Jumble the chits well and then
choose five hundred roll numbers. .
The best method af drawing a simple random sample is to use a table of
random numbers. These random number tables have been prepared. Fisher
and Yates(1967). After assigning consecutive numbers to the units of
population, the researcher starts at any point on the table of random numbers
and reads the consecutive numbers in any direction horizontally, vertically
or diagonally. If the read out number corresponds with the one written on
a unit card, then that unit is chosen for the sample. Let us, suppose that a sample of 5 study centers is to be selected at random
from a serially numbered population of 60 study centers. Using a part of a
table of random numbers reproduced here, five two digit numbers(as the
total population of study centers, 60, is a two digit figure) are selected from
Table 1.
Table 1: An Abbreviated Table of Random Numbers
If you start with the first row and the first column, 23 is the first two-digit
number, 05 is the next number and so on. Any point can be selected to start
with the random numbers for drawing the desired sample size. Suppose the
researcher selects column 4 from row 1, the number to start with 83. In this
way helshe can select first 5 numbers from this column starting with 83.
The sample, then, is as follows:
Now, in selecting the sample of 5 study centers, two numbers, 83 and 75,
need to be deleted as they are bigger than 60, the size of the population. The
processes of selection and deletion are stopped after the required number of
five units get selected.
The selected numbers are 53,40, 05, 33 and 01. If any number is repeated
in the table, it may be substituted by the next number from the same
column. The researcher will go on to the next column until a sample of the
desired size is obtained.
Methods of Sampling
Simple random sampling, ensures the best results. However, from a
practical point of view, a list of all the units of a population is not possible
to obtain. Even if it is possible, it may involve a very high cost which a
researcher or an organisation may not be able to afford. Therefore, simple
random sampling is difficult to realize. Also, in case of a heterogeneous
population, a simple random sample may not necessarily represent the
characteristics of the total population, even though all selected units
participate in the investigation. In the case of undergraduate students of the
Open University in your country(assuming you have one), students may be
employed in different sectors and categories of services/industries. Inspite of
your best efforts you may not be able to list all the categories of
employment. In such a case, simple random sampling cannot help in
representing all the categories under study.
Systematic sampling
Systematic sampling provides a more even spread of the sample over the
population list and leads to greater precision. The process involves the
following steps:
i) Make a list of the population units based on some order -
alphabetical, seniority, street number, house number or any such
factor.
ii) Determine the desired sampling fraction, say 50 out of 1000; and
also the number of the K'~un it. [K=N/n= 1000/50 = 201.
iii) Starting with a randomly chosen number between 1 and K, both
inclusive, select every K'~un it from the list. If in the above example
the randomly chosen number is 4, the sample shall include the 4th,
24th, 44th, 64th, 84th units in each of the series going upto the
984th unit.
This method provides a sample as good as a simple random sample and is
comparatively easier to draw. If a researcher is interested to study the
average telephone bill of an area in hisher city, he/she may randomly select
every fourth telephone holder from the telephone directory and find out
their annual tele.phone bills. However, this method suffers from the
following drawbacks because of departure from randomness in the
arrangement of the population units.
i) Periodic effects
Populations with more or less definite periodic trend are quite common.
I Students' attendance at a residential university library over seven days in a
week, sales of a store over twelve months in a year and flow of road traffic
past a particular traffic point on a road over 24 hours are a few examples to
show periodic trend or cyclic fluctuation in a given population. In such
, cases systematic sample may not represent the population adequately or
remain effective all the time.
Tools For Research
ii) Trend
Another handicap of systematic sampling emerges from the fact that very
often 'n' is not an integral multiple of 'k'. This leads to a varying number
of units in the sample from the same finite population.
Suppose a population of 100 counsellors is listed according to seniority and
a researcher wants to select a sample of 20. First helshe divides 100 by 20 to
get 5 as the size of the interval. Suppose he/she picks 4 at random from 1 to
5 as a starting number. Then, helshe selects each 5th name at 9,14,19, ....
until helshe draws the desired 20 names. If helshe picks 2 as the starting
point, another sample would consist 2,7,12, .... In the latter sample each
counsellors seniority is lower than hislher counterpart in the former sample.
The mean average of these two samples would be significantly divergent as
regards seniority and other associated variables. Many such samples can be
drawn by taking different starting points but there will be greater variation
among them.
Thus, the 'periodic effects' and 'trend' of the listed population unduly
increase the variability of the samples, and calculations made from such
samples cannot show the sources of variability. The main advantages of
systematic sampling are:
a) It involves simple calculations.
b) It is less expensive than random sampling.
Stratified sampling
Stratified random sampling takes into account the stratification of the main
population into a number of sub-populations, each of which is hoinogeneous
with respect to one or more characteristic(s). Having ensured this
stratification, it provides for selecting randomly the required number of
units from each sub-population. The selection of a sample from each subpopulation
may involve random or any other mode of selection. The steps
involved in the stratified sampling are given as follows:
i> Deciding upon the relevant stratification criteria such as sex,
geographical region, age, courses of study, etc.
ii) Dividing the total population into sub-populations based on the
stratification criteria.
iii) Listing the units separately in each sub-population.
iv) Selecting the requisite number of units from each sub-population by
using an appropriate random selection technique.
v) Consolidating the sub-samples for making the main sample.
Methods of Sampling
Shus, stratification improves the representativeness of a sample by
~ntroducinga secondary element of control. Howev,er., the efficiency of the
stratified random sample depends on the allocation of sample size to the
itrata. Rendering proportional weightage to each criterion improves it
further by allowing the use of a smaller sample and by helping in achieving
higher efficiency at a reduced cost.
Stratified random sample is very useful when lists of units or individuals in
the population are not available, It is also useful in providing more accurate
results than simple random sampling. For example, while selecting a sample
of undergraduate student of the Open University in your country, the
researcher may decide the whole population of undergraduate students as
males and females, north, east, south and west regions of the country and
then employed in government, private and autonomous institutions in the
country. All these will be different strata. From each stratum researcher
may select 50 students as a sample.
Sometimes stratification is not possible before collecting the data. The
stratum to which a unit belongs may not be known until the researcher has
actually conducted the survey. Personal characteristics such as sex, social
class, educational level, age etc., are examples of such stratification criteria.
The procedure in such situations involves taking of a random sample of the
required size and then classifying the units into various strata. The method is
quite efficient provided the sample is reasonably large, i.e., more than 20 irk
every stratum.
Cluster sampling
Cluster sampling is used when the population under study is infinite, where
a list of units of populatioi~d oes not exist, when the geographic distribution
of units is scattered, or when sampling of individual units is not convenient
for several administrative reasons. It involves division of the population of
elementary units into groups or clusters that serve as primary sampling
units. A selection of the clusters is then made to form the sample. Thus, in
cluster sampling, the sampling unit contains groups of elements or clusters
instead of individual members or items ;n the population.
For example, for the purpose of selecting a sample of high school children
in a state, a researcher 111ust enlist all high schools instead of children
studying in high schools and select randomly a 10 per cent sample(say) of
the schools or clusters of units. SheIHe either uses all the children as the
sample or randomly select a few of them.
1
This method of sampling is economic, especially when the cost of
measuring a unit is relatively small and cost of reaching it is relatively Inrge
Multi-stage sampling
Multi-stage sampling is used in large scale surveys for a morc
comprehensive investigation. The researcher may have to use two. thrrc(i;
Tools For Research
even four stage sampling. For example, in surveys mailed questionnaires are
generally used to gather information from people living in widely scattered
areas. Although the method is cost effective, partially completed
questionnaires may introduce a bias due to which a representative sample
cannot be obtained. To overcome this bias, two-stage sampling has to be
used. A second sample from non-respondents is selected at random by
contacting them personally. In this way the consistency of the data obtained
from the first sample can also be verified. Similarly, if a researcher goes
for a national survey of counsellors, helshe can draw a sample of five
states representing northern, eastern, southern, western and central regions.
From these five states, all the districts can be enlisted out of which a sample
of 30 to 40 districts can be drawn randomly. Out of this, all the study
centers in different districts can be enumerated. A random sample of about
300 to 400 study centers is then drawn. Further, a random sample of about
1500-2000 counsellors are drawn for the survey. The successive random
sampling of states, districts, study centers and finally counsellors also
provides a multi-stage sample.
Multi-stage sampling is advantageous as the burden on the respondents is
lessened, it is cost effective, time saving and efficient in formulating the
s-ub-sample data. However, this method is recommended only when it seems
impractical to draw a simple random sample.
Probability proportion to size sampling
When the units vary in size, it is better to select a sample in such a way that
the probability of selection of units is proportional to its size. For example, a
particular study center has a population of 200 learners and another one has
100. While drawing a sample,. the first study center will have double the
representation as compared to the second study center. Such a sample is
known as probability proportion to size sample or PPS sample 1.3.2 Non-probability Sampling
Non-probability sampling is based on the judgement of the researcher. The
guiding factors in non-probability sampling include the availability of the
units, the personal experience of the researcher and hidher convenience in
carrying out a survey. Since these samples are not prepared through random
sampling techniques, they are known as non-probability samples.
Depending on the technique used, non-probability samples are classified
into purposive, incidental and quota samples. A brief description of these
samples is given below.
Purposive sample .
A purposive sample is also known as a judgement sample. This type of.
sample is chosen because there are good reasons to believe that it is a
representative of the total population. This also reflects certain controls
identified as representative areas like a city, state or district; representative
characteristics of individuals like age, sex, marital status, etc; or types of
groups like school administrators, elementary school teachers, secondary.
school teachers, college teachers, etc.
Fig. 3: Non-probability Sample
A purposive sample differs from stratified random sample in that the actual
selection of the units to be included in the sample in each group is done
purposively rather than by random methods. For example, let us consider
Tools For Research
the achievement level of housewives opting for distance education courses.
This approach comes in handy where it is necessary to include a very small
number of units in the sample. For example, for study of 'gifted' children,
the researcher, on the basis of hislher past experience, selects certain
individuals giving extra ordinary performance in school while excluding all
others from the sample.
Incidental sample
The term incidental sample, also known as accidental sample, is applied to
samples that have been drawn because of the easy availability of units. An
investigator employed in the IGNOU may select learners enrolled for
Diploma in Distance Education while conducting a study on higher
education, as these learners are readily available and fulfil the conditions of
the study. But, neither of the two reasons may be of the investigator's
choice. Therefore, such casual groups rarely constitute random samples of
any definable population.
The merits of this procedure are mainly the convenience of obtaining units;
the ease of testing and completeness of the data collected. However, it is the
limitations that have defined population and no randomization has actually
been done. Therefore any attempt to arrive at generalised conclusion in
such cases will be erroneous and misleading.
Quota simple
Quota sanlple is another type of non-probability sample. It involves the
selection of sample units within each stratum or quota on the basis of the
judgement of the researcher rather than on calculable chance of the
individual units being included in the sample. Suppose a national survey has
to be done on the basis of quota sampling. The first step in quota sampling
would be to stratify the population region wise like rurallurban,
administrative districts etc. and then fix a quota of the sample to be selected.
In the initial state quota sampling is similar to stratified sampling. -
However, it may not necessarily employ random selection procedurd in the
initial stage in exactly the sanle way as probability sampling. The essential
difference between probability sampling and quota sampling lies in the I
selection of the final sampling units. The quota is usually determined by the
proportion of the groups. Suppose a researcher wants to study the attitude of
university teachers towards distance education. First of all, helshe may
stratify the university teachers in the category of sex and then as professors,
readers and lectures. Later, helshe may fix quotas for all these categories.
In this way, the quota sample would involve the use of strata but selection
within the strata is not done on a random basis.
The advantages of quota sampling are, its being less expensive,
conveaient, and more suitable in the case of missing or incomplete sampling
frames.
Methods of Sampling
The non-probability samples are generally considered to be convenient
when the sample to be selected is small and the researcher wants to get some
idea of the population characteristics within a short time. In such cases, the .
primary objective of the researcher is to gain insight into the problem by
selecting only those persons who can provide miximum insight into the
problem.
However, the following are some inherent limitations of non-probability
sampling methods:
i) No statistical theory has been devised to measure the reliability of
. results derived through purposive or other non-random samples.
Hence, no confidence can be placed in the data obtained from such
samples and results cannot be generalized for the entire population.
ii) The selective sampling based on convenience affects the variance
within the group as well as between the groups. Further, there is no
statistical method to determine the margin of sampling errors.
iii) Sometimes such samples are based on an obsolete frame which does
not adequately cover the population.
1.3.3 Choice of the Sarrlpling Method
The choice of sampling method depends on several considerations unique to
each individual project. These include issues related to the definition of
popuiaiion, availability of information about the structure of the-population,
the pararnctcs tr! be estimated, the objectives of the analysis including the
degree of precision required, and the availability of financial and other .
resources. This calls for appropriate selection of a sample for the conduct of
any research study.
1.3.4 Characteristics of a Good Sample
A good sample should have the characteristics of(i) Representativeness and
(ii) Adequacy.
It is essential that the sample should be 'representative' of the population if
the inforniatis:: from the sample is to be generalized for that population.
The term representative sample means an ideal 'miniature' or 'replica' of
the population from which it has been drawn.
A good sample should also be 'adequate' or of sufficient size to allow
confidence in the stability of its characteristics. An adequate sample is
considered to be one that contains enough cases to ensure reliable results.
Hence, planning the size'of the sample in advance is very important. It
varies with the nature of the characteristics under study and its distribution.
It may be mentioned that representativeness and adequacy do not
automatically .ensure accuracy of results. The sampling and data collection techniques need to be selected and employed carefully to obtain higher
degrees of precision in results and generalizations about the population.
Tools For Research
1.3.5 Determination of Sample Size .
Most Researchers find it difficult to determine the size of the sample.
Krejcie and Morgan(1 970) has given a table in which no calculations are
needed to determine the size of the sample. Table is reproduced here for
your reference.
Table for Determining Sa ple Size from a Given Population
Not9 - N is population size, S is sample size
Let us take one example. If you want to know the sample size required to be
representative of the opinions of 300 academic counsellors, refer table at
N=300. The sample size representative of the counsellors in this case will
be 169. he table given above is applicable to any defined population.
•
• Probability Sampling
• Probability sampling is based on random selection of units from a population. In other words, the sampling process is not based on the
• discretion of the researcher but is carried out in such a way that the
• probability of every unit in the population of being included is the same.
• For example, in the case of lottery, every individual has equal chance of
• being selected. Some of the characteristics of a probability sample are :
• i) each unit in the sample has some probability of entering the sample,
• ii) weights appropriate to the probabilities are used in the analysis 01
• the sample and
• iii) the process of sampling is automatic in one or more steps of the
• selection of units in the sample.
• Probability sampling can be done tlwough different methods, each method
• ,having its own strengths and limitations. A brief account of these is give11
• below: • Non-probability Sampling
• Non-probability sampling is based on the judgement of the researcher. The
• guiding factors in non-probability sampling include the availability of the
• units, the personal experience of the researcher and hidher convenience in
• carrying out a survey. Since these samples are not prepared through random
• sampling techniques, they are known as non-probability samples.
• Depending on the technique used, non-probability samples are classified
• into purposive, incidental and quota samples. A brief description of these
• samples is given below.
• Purposive sample .
• A purposive sample is also known as a judgement sample. This type of.
• sample is chosen because there are good reasons to believe that it is a
• representative of the total population. This also reflects certain controls
• identified as representative areas like a city, state or district; representative
• characteristics of individuals like age, sex, marital status, etc; or types of
• groups like school administrators, elementary school teachers, secondary.
• school teachers, college teachers, etc.
• A purposive sample differs from stratified random sample in that the actual
• selection of the units to be included in the sample in each group is done
• purposively rather than by random methods. For example, let us consider • the achievement level of housewives opting for distance education courses.
• This approach comes in handy where it is necessary to include a very small
• number of units in the sample. For example, for study of 'gifted' children,
• the researcher, on the basis of hislher past experience, selects certain
• individuals giving extra ordinary performance in school while excluding all
• others from the sample.
• Incidental sample
• The term incidental sample, also known as accidental sample, is applied to
• samples that have been drawn because of the easy availability of units. An
• investigator employed in the IGNOU may select learners enrolled for
• Diploma in Distance Education while conducting a study on higher
• education, as these learners are readily available and fulfil the conditions of
• the study. But, neither of the two reasons may be of the investigator's
• choice. Therefore, such casual groups rarely constitute random samples of
• any definable population.
• The merits of this procedure are mainly the convenience of obtaining units;
• the ease of testing and completeness of the data collected. However, it is the
• limitations that have defined population and no randomization has actually
• been done. Therefore any attempt to arrive at generalised conclusion in
• such cases will be erroneous and misleading.
• Quota simple
• Quota sanlple is another type of non-probability sample. It involves the
• selection of sample units within each stratum or quota on the basis of the
• judgement of the researcher rather than on calculable chance of the
• individual units being included in the sample. Suppose a national survey has
• to be done on the basis of quota sampling. The first step in quota sampling
• would be to stratify the population region wise like rurallurban,
• administrative districts etc. and then fix a quota of the sample to be selected. In the initial state quota sampling is similar to stratified sampling. -
• However, it may not necessarily employ random selection procedurd in the
• initial stage in exactly the sanle way as probability sampling. The essential
• difference between probability sampling and quota sampling lies in the selection of the final sampling units. The quota is usually determined by the proportion of the groups. Suppose a researcher wants to study the attitude of university teachers towards distance education. First of all, helshe may stratify the university teachers in the category of sex and then as professors, readers and lectures. Later, helshe may fix quotas for all these categories.
• In this way, the quota sample would involve the use of strata but selection within the strata is not done on a random basis.
• The advantages of quota sampling are, its being less expensive, conveaient, and more suitable in the case of missing or incomplete sampling frames. • The non-probability samples are generally considered to be convenient when the sample to be selected is small and the researcher wants to get some idea of the population characteristics within a short time. In such cases, the primary objective of the researcher is to gain insight into the problem by selecting only those persons who can provide miximum insight into the problem.
However, the following are some inherent limitations of non-probability sampling methods:
i) No statistical theory has been devised to measure the reliability of results derived through purposive or other non-random samples.
Hence, no confidence can be placed in the data obtained from such samples and results cannot be generalized for the entire population.
ii) The selective sampling based on convenience affects the variance within the group as well as between the groups. Further, there is no statistical method to determine the margin of sampling errors.
iii) Sometimes such samples are based on an obsolete frame which does not adequately cover the population. #########################
3. Critically examine the globe – hex strategies for the Indian government. THE STRATEGIES FOR THE INDIAN GOVERNMENT--BEING
*proactive and planned participation
*export led growth strategy
*infrastructure depth
*agriculture promotion
*safeguard against unreasonable import
*import of raw material
###################
4. Comment on this statement. “Often neither the least expensive strategy nor the most expensive may be the most productive strategy”.
FOR THE MOST PRODUCTIVE STRATEGY
Developing Organizational Objectives and Formulating Strategies
Developing Objectives
Objectives are what organizations want to accomplish—the end results they want to achieve—in a given time frame. In addition to being accomplished within a certain time frame, objectives should be realistic(achievable) and be measurable, if possible. “To increase sales by 2 percent by the end of the year” is an example of an objective an organization might develop. You have probably set objectives for yourself that you want to achieve in a given time frame. For example, your objectives might be to maintain a certain grade point average and get work experience or an internship before you graduate.
Objectives help guide and motivate a company’s employees and give its managers reference points for evaluating the firm’s marketing actions. Although many organizations publish their mission statements, most for-profit companies do not publish their objectives. Accomplishments at each level of the organization have helped PepsiCo meet its corporate objectives over the course of the past few years. PepsiCo’s business units(divisions) have increased the number of their facilities to grow their brands and enter new markets. PepsiCo’s beverage and snack units have gained market share by developing healthier products and products that are more convenient to use.
A firm’s marketing objectives should be consistent with the company’s objectives at other levels, such as the corporate level and business level. An example of a marketing objective for PepsiCo might be “to increase by 4 percent the market share of Gatorade by the end of the year.” The way firms analyze their different divisions or businesses will be discussed later in the chapter.
Formulating Strategies
Strategies are the means to the ends, or what a firm’s going to do to meet its objectives. Successful strategies help organizations establish and maintain a competitive advantage that competitors cannot imitate easily. PepsiCo attempts to sustain its competitive advantage by constantly developing new products and innovations, including “mega brands,” which are eighteen individual brands that generate over $1 billion in sales each.
Firms often use multiple strategies to accomplish their objectives and capitalize on marketing opportunities. For example, in addition to pursuing a low cost strategy(selling products inexpensively), Walmart has simultaneously pursued a strategy of opening new stores rapidly around the world. Many companies develop marketing strategies as part of their general, overall business plans. Other companies prepare separate marketing plans. A marketing plan is a strategic plan at the functional level that provides a firm’s marketing group with direction. It is a road map that improves the firm’s understanding of its competitive situation. The marketing plan also helps the firm allocate resources and divvy up the tasks that employees need to do for the company to meet its objectives. The different components of marketing plans will be discussed throughout the book and then discussed together at the end of the book. Next, let’s take a look at the different types of basic market strategies firms pursue before they develop their marketing plans.
Product and Market Entry Strategies
The different types of product and market entry strategies a firm can pursue in order to meet their objectives.
Market penetration strategies focus on increasing a firm’s sales of its existing products to its existing customers. Companies often offer consumers special promotions or low prices to increase their usage and encourage them to buy products. When Frito-Lay distributes money-saving coupons to customers or offers them discounts to buy multiple packages of snacks, the company is utilizing a penetration strategy. The Campbell Soup Company gets consumers to buy more soup by providing easy recipes using their soup as an ingredient for cooking quick meals.
Product development strategies involve creating new products for existing customers. A new product can be a totally new innovation, an improved product, or a product with enhanced value, such as one with a new feature. Cell phones that allow consumers to charge purchases with the phone or take pictures are examples of a product with enhanced value. A new product can also be one that comes in different variations, such as new flavors, colors, and sizes. Mountain Dew Voltage, introduced by PepsiCo Americas Beverages in 2009, is an example. Keep in mind, however, that what works for one company might not work for another. For example, just after Starbucks announced it was cutting back on the number of its lunch offerings, Dunkin’ Donuts announced it was adding items to its lunch menu.
Market development strategies focus on entering new markets with existing products. For example, during the recent economic downturn, manufacturers of high-end coffee makers began targeting customers who go to coffee shops. The manufacturers are hoping to develop the market for their products by making sure consumers know they can brew a great cup of coffee at home for a fraction of what they spend at Starbucks.
New markets can include any new groups of customers such as different age groups, new geographic areas, or international markets. Many companies, including PepsiCo and Hyundai, have entered—and been successful in—rapidly emerging markets such as Russia, China, and India. As Figure 2.12 "Product and Market Entry Strategies" shows, there are different ways, or strategies, by which firms can enter international markets. The strategies vary in the amount of risk, control, and investment that firms face. Firms can simply export, or sell their products to buyers abroad, which is the least risky and least expensive method but also offers the least amount of control. Many small firms export their products to foreign markets.
Firms can also license, or sell the right to use some aspect of their production processes, trademarks, or patents to individuals or firms in foreign markets. Licensing is a popular strategy, but firms must figure out how to protect their interests if the licensee decides to open its own business and void the license agreement. The French luggage and handbag maker Louis Vuitton faced this problem when it entered China. Competitors started illegally putting the Louis Vuitton logo on different products, which cut into Louis Vuitton’s profits.
The front of a KFC franchise in Asia may be much larger than KFC stores in the United States. Selling franchises is a popular way for firms to enter foreign markets.
Franchising is a longer-term form of licensing that is extremely popular with service firms, such as restaurants like McDonald’s and Subway, hotels like Holiday Inn Express, and cleaning companies like Stanley Steamer. Franchisees pay a fee for the franchise and must adhere to certain standards; however, they benefit from the advertising and brand recognition the franchising company provides.
Contract manufacturing allows companies to hire manufacturers to produce their products in another country. The manufacturers are provided specifications for the products, which are then manufactured and sold on behalf of the company that contracted the manufacturing. Contract manufacturing may provide tax incentives and may be more profitable than manufacturing the products in the home country. Examples of products in which contract manufacturing is often used include cell phones, computers, and printers.
Joint ventures combine the expertise and investments of two companies and help companies enter foreign markets. The firms in each country share the risks as well as the investments. Some countries such as China often require companies to form a joint venture with a domestic firm in order to enter the market. After entering the market in a partnership with a domestic firm and becoming established in the market, some firms may decide to separate from their partner and become their own business. Fuji Xerox Co., Ltd., is an example of a joint venture between the Japanese Fuji Photo Film Co. and the American document management company Xerox. Another example of a joint venture is Sony Ericsson. The venture combined the Japanese company Sony’s electronic expertise with the Swedish company Ericsson’s telecommunication expertise.
Direct investment(owning a company or facility overseas) is another way to enter a foreign market. For example, In Bev, the Dutch maker of Beck’s beer, was able to capture market share in the United States by purchasing St. Louis-based Anheuser-Busch. A direct investment strategy involves the most risk and investment but offers the most control. Other companies such as advertising agencies may want to invest and develop their own businesses directly in international markets rather than trying to do so via other companies.
Figure 2.14 Market Entry Methods
Diversification strategies involve entering new market

