Question
SOCIO-CULTURAL ENVIRONMENT
Approximately 5 pages, double-spaced.
This section MUST incorporate a minimum of 20 years (i.e. 4 census data points from Stats Can), and preferably 30 years, of demographic TREND data for the region in which the selected firm competes.
Note: Long-term TREND data is required because demographic trends emerge and change very slowly over time because human capital is long lasting (i.e., the average life span in Canada is 84 years for females and 82 for males).
Important:
If the selected firm is targeting young people in Canada, you MUST provide demographic data for the youth component TREND in Canada segmented by gender, income, ethnicity, etc.
This section MUST provide:
- quantitative data for EVERY socio-cultural TREND identified (e.g., aging);
- ID each demographic TREND as a threat or opportunity;
- Stats Canada collects most demographic data on Canadians;
- For example:
- age distribution of population;
- ethnic, religious, national, distribution;
- education distribution (percentage for public school, high school, undergraduate and graduate students);
- regional distribution of population in country;
- income distribution by percentage in each quintile;
- annual births/deaths;
- fertility rates for country (where the firm does business);
- mortality rates for the country;
- population growth rate;
- population density;
- percentage of home ownership.
- ID relevant attitudinal or behavioral data
- Each national polling firm e.g. Ipso Reid, Gallop, Pew Research Centre, provides a search engine and access to all past polls that the firm completed (e.g., polls on attitudes to banks, European trade deal or pipelines).
- Attitudes towards e.g. oil sands, e.g. foreign investment, e.g. the environment, e.g. alcohol sold in corner stores.
Hint: Review Intro Marketing where many of these issues are analyzed.
- d) Power of Suppliers
Approximately 3 pages, double spaced.
In this section, you MUST:
- identify the aggregate numbers of firms and revenues in the supplier industry;
- analyze the availability of substitutes for the products supplied;
- identify whether the supplier industry is concentrated or fragmented (i.e., less than 5 firms account for more than 50 percent of industry sales);
- determine whether suppliers are “price takers” or “price makers”.
- e) Power of Buyers: Customers and Consumers
Approximately 3 pages, double spaced.
In this section, you MUST:
- identify the aggregate number of buyers/consumers. Use the NAICS code for industry buyers;
- analyze buyer power under the categories of:
- Customers – distributors or retailers (i.e., NAICS code for corporate buyers);
- Consumers – final end buyer (i.e., you and I).
- provide empirical data showing whether buyers/customers are concentrated or fragmented:
- Can buyers/customers threaten to backward integrate?
- Are there switching costs? If so, you must analyze them.
- Is the product a commodity that gives buyers more power if there is no differentiation between the commodities except price?
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| Subject | Sociology | Pages | 15 | Style | APA |
|---|
Answer
Socio-Cultural Environment: Telus Communication Company
Telus is a product of the merger between Telus Communications and Telus mobility in 2005. Its headquarters is located in Vancouver, British Columbia. Currently it is the second largest telecommunications company in Canada with 29000 employees. It is a national provider of wireless communications and offers a range of other services including voice, data, and internet protocol. The target population of Telus Company is the working age population both men and women from all provinces and regions in Canada. The social cultural environment including demography, level of education, lifestyles, income and expenditure, as well as cultural and racial orientations largely influence consumer-buying behavior[1]. This paper proceeds to analyze the social-cultural environment of the Canadian population based on the above-mentioned factors to identify how they are likely to affect business.
The current statics estimates the Canadian population at 35,540,400 as per 2013. Immigration is cited as the major source of population growth in the country. Stats projects that the population will continue to grow in the next 50 years to reach 40 million people by 2065 largely because of immigrations[2]. Most provinces will experience population growth with only a few expected to decline including Nova Scotia, Newfoundland, and New Brunswick. Talus focus should be on the needs and preferences of the immigrant customers since they will form the bulk of the working age-population in the near future. Migrants account for two thirds of the total population increase in Canada. Natural increase is also substantial contributor to population increase although it remains low in some provinces. The proportion of the population that speaks English at home and in the offices accounts for the largest percentage at 71 percent followed by French at 21 percent[3]. This implies that Telus needs also to consider language in its business strategy for these two dominant languages.
Figure1: Growth rate
(Source: Statistics Canada, 2015)
The proportion of the population under the working age bracket is high in Canada. This presents a positive factor for TCC. It implies that the proportion of the population under the category of those with high purchasing power in the country is high and that more people have the capability to buy. Unemployment is lower compared with the last decade but still high. Unemployment rates are expected to decline in the near future. This will have a positive impact on the business since more people will enter the bracket of those with high purchasing power. However, the share of the population above 75 years is expected to be more than double the present in the next 50 years rising from 7 percent to 15 percent. The country’s dependency ratio will in turn increase from 46 percent to 70 percent[4]. The increase in the aging population is attributed to increasing longevity and the falling fertility rates. This is a negative factor to the business of Telus since the proportion of the population with high purchasing power will decline.
Figure 2: Labor force characteristics
|
Labor force characteristics, by sex |
|||
|
|
1991 |
2001 |
2011 |
|
thousands |
|||
|
Labor force |
14,336 |
16,105 |
18,699 |
|
Males |
7,925 |
8,689 |
9,859 |
|
Females |
6,412 |
7,416 |
8,841 |
|
Employed |
12,857 |
14,941 |
17,306 |
|
Males |
7,067 |
8,035 |
9,085 |
|
Females |
5,791 |
6,906 |
8,221 |
|
Unemployed |
1,479 |
1,164 |
1,393 |
|
Males |
858 |
654 |
774 |
|
Females |
621 |
510 |
619 |
|
|
% |
||
|
Unemployment rate |
10.3 |
7.2 |
7.4 |
|
Males |
10.8 |
7.5 |
7.8 |
|
Females |
9.7 |
6.9 |
7.0 |
|
Participation rate |
66.6 |
65.9 |
66.8 |
|
Males |
75.0 |
72.3 |
71.5 |
|
Females |
58.4 |
59.7 |
62.3 |
|
Employment rate |
59.7 |
61.1 |
61.8 |
|
Males |
66.9 |
66.8 |
65.9 |
|
Females |
52.8 |
55.6 |
57.9 |
|
Source: Statistics Canada, CANSIM table 282-0002. |
|||
(Source: Statistics Canada, 2015)
Education is another key factor in the social demographic of the population affecting Telus business. The average level of literacy is very high in Canada and this implies that the operating environment for Talus is that of sophisticated consumers[5]. These consumers present a good market for telecommunication services especially data and voice. The current generation “internet generation” presents a good market for internet services.
Figure 3: Education
|
Educational attainment of working-age population |
|||
|
|
2000 |
2005 |
2010 |
|
thousands |
|||
|
Working-age population |
24,090 |
25,780 |
27,659 |
|
|
% |
||
|
0 to 8 years of study |
10.4 |
8.4 |
6.5 |
|
Some high school |
17.8 |
15.3 |
13.6 |
|
High school graduate |
19.6 |
19.9 |
19.7 |
|
Some postsecondary |
9.4 |
8.6 |
8.3 |
|
Postsecondary certificate or diploma |
27.3 |
29.8 |
30.9 |
|
All university degrees |
15.5 |
18.1 |
20.9 |
|
Bachelor's degree |
10.4 |
12.4 |
14.4 |
|
Above bachelor's degree |
5.1 |
5.6 |
6.5 |
|
Note: Population aged 15 and older based on Labour Force Survey estimates. |
|||
|
Source: Statistics Canada, CANSIM table 282-0004. |
|||
(Source: Statistics Canada, 2015)
Statistics on family income in Canada indicates a good economic environment for business. Families show improved incomes in the last three decades with males having higher incomes than females[6]. This is also a positive factor for Telus in terms of the family expenditure and purchasing power.
Figure 4: Population by economy family type
|
Median after-tax income, by economic family type |
|||
|
|
1989 |
1999 |
2009 |
|
$ constant 2009 |
|||
|
Economic families, two people or more |
56,200 |
55,100 |
63,800 |
|
Elderly families |
39,200 |
39,300 |
46,800 |
|
Married couples only |
35,200 |
38,700 |
46,400 |
|
All other elderly families |
52,200 |
41,900 |
49,000 |
|
Non-elderly families |
58,400 |
58,200 |
68,100 |
|
Married couples only |
53,900 |
53,900 |
63,800 |
|
Two-parent families with children |
61,300 |
63,500 |
75,600 |
|
Married couples with other relatives |
80,400 |
82,800 |
97,300 |
|
Lone-parent families |
28,600 |
30,100 |
39,700 |
|
All other non-elderly families |
48,600 |
51,100 |
58,500 |
|
Unattached individuals |
22,400 |
20,600 |
25,500 |
|
Elderly males |
21,000 |
21,100 |
26,700 |
|
Elderly females |
17,900 |
19,400 |
22,400 |
|
Non-elderly males |
28,000 |
24,500 |
28,200 |
|
Non-elderly females |
22,700 |
19,200 |
25,300 |
(Source: Statistics Canada, 2015)
Chinese and South Asian immigrants represent the largest proportion in Canada. Visible minorities are the second largest proportion of the Canadian population[7]. This implies that Telus needs to consider composition f then population in this aspect.
Figure 5: Population projection
|
Population projection, by visible minority |
||||
|
|
2006 |
20311 |
||
|
thousands |
% |
thousands |
% |
|
|
Total population |
32,522 |
100.0 |
42,078 |
100.0 |
|
All visible minorities |
5,285 |
16.3 |
12,855 |
30.6 |
|
Chinese |
1,269 |
3.9 |
2,714 |
6.4 |
|
South Asian |
1,320 |
4.1 |
3,640 |
8.7 |
|
Black |
815 |
2.5 |
1,809 |
4.3 |
|
Filipino |
427 |
1.3 |
1,020 |
2.4 |
|
Latin American |
317 |
1.0 |
733 |
1.7 |
|
Southeast Asian |
250 |
0.8 |
449 |
1.1 |
|
Arab |
276 |
0.8 |
930 |
2.2 |
|
West Asian |
164 |
0.5 |
523 |
1.2 |
|
Korean |
148 |
0.5 |
407 |
1.0 |
|
Japanese |
85 |
0.3 |
142 |
0.3 |
|
Other visible minorities |
213 |
0.7 |
489 |
1.2 |
|
Rest of the population |
27,237 |
83.7 |
29,222 |
69.4 |
|
1. Reference scenario, based on current demographic trends. |
||||
|
Source: Statistics Canada, Catalogue no. 91-551-X. |
||||
(Source: Statistics Canada, 2015)
Ontario, British Columbia, and Alberta are the three provinces representing the largest populations in Canada[8]. Telus focus should be largely on these provinces.
Figure 6: Population by Provinces
|
Table 1 Population |
|||
|
|
1996 |
2006 |
2011p |
|
number |
|||
|
Canada |
29,610,218 |
32,576,074 |
34,482,779 |
|
Newfoundland and Labrador |
559,698 |
510,313 |
510,578 |
|
Prince Edward Island |
135,737 |
137,920 |
145,855 |
|
Nova Scotia |
931,327 |
938,010 |
945,437 |
|
New Brunswick |
752,268 |
745,674 |
755,455 |
|
Quebec |
7,246,897 |
7,631,552 |
7,979,663 |
|
Ontario |
11,082,903 |
12,665,346 |
13,372,996 |
|
Manitoba |
1,134,196 |
1,184,031 |
1,250,574 |
|
Saskatchewan |
1,018,945 |
992,122 |
1,057,884 |
|
Alberta |
2,775,133 |
3,421,253 |
3,779,353 |
|
British Columbia |
3,874,317 |
4,243,580 |
4,573,321 |
|
Yukon |
31,387 |
32,276 |
34,666 |
|
Northwest Territories |
41,741 |
43,198 |
43,675 |
|
Nunavut |
25,669 |
30,799 |
33,322 |
|
p preliminary |
|||
|
Note: Population estimates as of July 1. |
|||
|
Source: Statistics Canada, CANSIM table 051-0005. |
|||
(Source: Statistics Canada, 2015)
Statistics indicate that births are the largest contributor to population growth currently followed closely by immigration[9]. Business need to consider how to tap into the various segments of the population.
Figure 7: Components of Population Growth
|
Components of population growth |
|||
|
|
1990/1991 |
2000/2001 |
2010/2011p |
|
number |
|||
|
Births |
402,929 |
327,107 |
386,013 |
|
Deaths |
192,439 |
219,114 |
252,561 |
|
Immigrants |
221,382 |
252,527 |
258,906 |
|
Emigrants |
43,692 |
47,766 |
52,456 |
|
Returning emigrants |
15,208 |
17,910 |
25,364 |
|
Net temporary emigrants |
.. |
25,563 |
20,163 |
|
Net non-permanent residents |
-52,853 |
39,592 |
11,495 |
|
p preliminary |
|||
|
.. not available for a specific reference period |
|||
|
Note: All figures are for the one-year period ending June 30. |
|||
|
Source: Statistics Canada, CANSIM table 051-0004. |
|||
(Source: Statistics Canada, 2015)
The population in Canada is vastly represented in terms of minority groups with over ten diverse groups. These diverse groups represent an important clientele base with varying consumer needs[10]. This can be both an opportunity and a threat to business depending on how well it is addressed.
Figure 8: Population projection, by visible minority
|
Population projection, by visible minority |
||||
|
|
2006 |
20311 |
||
|
thousands |
% |
thousands |
% |
|
|
Total population |
32,522 |
100.0 |
42,078 |
100.0 |
|
All visible minorities |
5,285 |
16.3 |
12,855 |
30.6 |
|
Chinese |
1,269 |
3.9 |
2,714 |
6.4 |
|
South Asian |
1,320 |
4.1 |
3,640 |
8.7 |
|
Black |
815 |
2.5 |
1,809 |
4.3 |
|
Filipino |
427 |
1.3 |
1,020 |
2.4 |
|
Latin American |
317 |
1.0 |
733 |
1.7 |
|
Southeast Asian |
250 |
0.8 |
449 |
1.1 |
|
Arab |
276 |
0.8 |
930 |
2.2 |
|
West Asian |
164 |
0.5 |
523 |
1.2 |
|
Korean |
148 |
0.5 |
407 |
1.0 |
|
Japanese |
85 |
0.3 |
142 |
0.3 |
|
Other visible minorities |
213 |
0.7 |
489 |
1.2 |
|
Rest of the population |
27,237 |
83.7 |
29,222 |
69.4 |
|
1. Reference scenario, based on current demographic trends. |
||||
|
Source: Statistics Canada, Catalogue no. 91-551-X. |
||||
(Source: Statistics Canada, 2015)
The proportion of the people who own houses in the population is high[11]. This implies that the standard of living is high and people’s purchasing power is high. This is a positive factor for the business.
Figure 9: Home Ownership
|
|
Owned dwelling with mortgage |
Owned dwelling without mortgage |
Rented dwelling |
|
% |
|||
|
Canada |
34 |
31 |
35 |
|
Newfoundland and Labrador |
32 |
46 |
22 |
|
Prince Edward Island |
37 |
33 |
30 |
|
Nova Scotia |
34 |
33 |
33 |
|
New Brunswick |
38 |
38 |
24 |
|
Quebec |
35 |
23 |
42 |
|
Ontario |
35 |
32 |
33 |
|
Manitoba |
37 |
29 |
34 |
|
Saskatchewan |
34 |
40 |
26 |
|
Alberta |
35 |
36 |
29 |
|
British Columbia |
31 |
32 |
36 |
|
Yukon |
30 |
28 |
42 |
|
Northwest Territories |
27 |
19 |
54 |
|
Nunavut |
.. |
.. |
80 |
|
.. not available for a specific reference period |
|||
|
Source: Statistics Canada, CANSIM table 203-0019. |
|||
(Source: Statistics Canada, 2015)
Socio-cultural factors play a critical role in determining the external environment within which a business operates. In order to compete favorably, a company needs to consider the different aspects of the population they serve in order to identify opportunities and threat.
[1] Beaujot, R. (2009). Canada's Population in Global Context: An Introduction to Social Demography. American Review Of Canadian Studies, (3), 303.
[2] Siddiq, F., & Babins, S. (2013). Trends in Population Growth Inequality across Subnational Jurisdictions in Canada1.Canadian Public Policy, 39S41-S64. doi:10.3138/CPP.39.Supplement1.S41
[3] Barbiéri, M., Ouellette, N., Reeve, P. t., McCoy, J. t., & Dutreuilh, C. t. (2012). The Demography of Canada and the United States from the 1980s to the 2000s: A Summary of Changes and a Statistical Assessment. Population, English Edition, (2), 177.
[4] Goyal Wasan, P., & Tripathi, G. (2014). Revisiting Social Marketing Mix: A Socio-Cultural PerspectivE.Journal Of Services Research, 14(2), 127-144.
[5] Barbiéri, M., Ouellette, N., Reeve, P. t., McCoy, J. t., & Dutreuilh, C. t. (2012). The Demography of Canada and the United States from the 1980s to the 2000s
[6] Goyal Wasan, P., & Tripathi, G. (2014). Revisiting Social Marketing Mix: A Socio-Cultural PerspectivE
[7] Siddiq, F., & Babins, S. (2013). Trends in Population Growth Inequality across Subnational Jurisdictions in Canada1.Canadian Public Policy, 39S41-S64. doi:10.3138/CPP.39.Supplement1.S41
[8] Edmonston, B. (2014). Two centuries of demographic change in Canada. Canadian Studies In Population, 41(1/2), 1.
[9] Edmonston, B. (2014). Two centuries of demographic change in Canada. Canadian Studies In Population, 41(1/2), 1.
[10] Berekbussunova, G. (2014). Social and Psychological Support of the Person during Adaptation in New Socio-Cultural Environment
[11] Berekbussunova, G. (2014). Social and Psychological Support of the Person during Adaptation in New Socio-Cultural Environment
References
|
Barbiéri, M., Ouellette, N., Reeve, P. t., McCoy, J. t., & Dutreuilh, C. t. (2012). The Demography of Canada and the United States from the 1980s to the 2000s: A Summary of Changes and a Statistical Assessment. Population, English Edition, (2), 177. Beaujot, R. (2009). Canada's Population in Global Context: An Introduction to Social Demography. American Review Of Canadian Studies, (3), 303. Berekbussunova, G. (2014). Social and Psychological Support of the Person during Adaptation in New Socio-Cultural Environment. Procedia - Social And Behavioral Sciences, 159(5th World Conference on Psychology, Counseling and Guidance, WCPCG-2014, 1-3 May 2014, Dubrovnik, Croatia), 775-783. doi:10.1016/j.sbspro.2014.12.447 Edmonston, B. (2014). Two centuries of demographic change in Canada. Canadian Studies In Population, 41(1/2), 1. Goyal Wasan, P., & Tripathi, G. (2014). Revisiting Social Marketing Mix: A Socio-Cultural PerspectivE.Journal Of Services Research, 14(2), 127-144. Siddiq, F., & Babins, S. (2013). Trends in Population Growth Inequality across Subnational Jurisdictions in Canada1.Canadian Public Policy, 39S41-S64. doi:10.3138/CPP.39.Supplement1.S41 Statistics Canada: Retrieved on May 25, 2015 from http://www.statcan.gc.ca/pub/12-581-x/2012000/pop-eng.htm#t04
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