AMB200 Consumer Behaviour Assessment Item 2: CB ... · Web viewWord Count: 1508 Context and...
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AMB200 CB Report Kaxin MA n9118187
AMB200 Consumer Behaviour
Assessment Item 2: CB Report
Topic 2:
Convincing people to get early checks for cancer
Student Name: Kaixin MA
Student Number: N9118187
Tutor: Graham Fellows
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AMB200 CB Report Kaxin MA n9118187
Word Count: 1508
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I. Context and Problem/Opportunity
Cancer is a disease of leading cause of death with an estimated 45,700 people
passing away each year (Australian Cancer Research Foundation, 2014), in spite of
advanced technologies and highly developed medical level. David (2008b) states the
long history of fighting with cancer demonstrated the difficulty of full treatment or
cure of cancer. However, most people are not participating in the early detection
testing, because of lack of fundamental knowledge of cancers, over confidence or
even ignorance (Cancer Council Australia, 2015a). And this happens mostly among
younger women since the possibility of cancer diagnosis for them is lower. Thus it
becomes important for younger women to get early cancer detection to secure
effective early treatment and to improve overall outcome and results of cancer
treatment (American Cancer Society, 2014; Cancer Council Australia, 2015b).
II. Literature Review
The data from Australian Institute of Health and Welfare (2015) shows that cancer
has accounted for 30% deaths that registered in Australia in 2014. And the risk for
Australian males of being diagnosed with cancer was 1 in 2, while that for females
was 1 in 3 before year of 85. Australian Cancer Research Foundation (2014) indicates
that more than 123,000 new cases of cancer are diagnosed in Australian and are
affecting people of all ages with no discrimination. Among the heath system costs,
cancer costs was more than $4.5 billion which took up 6.9%, and cancer research
costs was $378 million which took over 22% of all heath research expenditure in year
2000 to 2001 (Cancer Council Australia, 2015b).
Australian Institute of Health and Welfare (2014) clearly states there exists positive
correlated relationship between age and the possibility of cancer diagnosis,
especially for people who are elder than 50 years old, and this statement supports
the research demonstrated by de Bock et al (2008). For instance, most early stage
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cancer patients could survive from cancer treatments, while the late stage cancer
patients are barely survived despite of treatments (David, 2008a).
In order to reduce the possibility of cancer diagnosis and to improve the outcome
and results of cancer treatment, early detection of cancer would be one of the most
effective solutions (Australian Cancer Network Colorectal Cancer Guidelines Revision
Committee, 2015). It is also clearly stated by Black & Welch (1993) that the high
degree of scrutiny assorts with technological advances and medical intervention can
be considered as a general principle of prevalence of disease like cancer.
Through the cancer study researched by Josephson (2006) self-management and
relevant environment would also be believed to assist early detection of cancer. In
practice, most people would think cancer can only be diagnosed after the age of 50
and there are low chances to be diagnosed as cancer when they were young. Rath &
Sharma (2005) define this phenomenon as lack of academic knowledge and
misjudgement of existing symptoms, which might lead to different cancer
development. On the other hand, besides self-recognise of cancer, Cancer Screening
helps protect health from early detection which can be completed free by general
practice doctors (Beatty & Koczwara, 2010). As a result of this, early signs or
symptoms can be discovered before any further development of the cancer
(Department of Health, 2015). As Yang, Tang & Chen (2012) expound that early
cancer detection testing such as Cancer Screening is able to improve the outcome of
cancer treatment so that the potential risks of cancer can be eliminated by more
than 60%. For younger people, especially younger women who have lowest
possibility of diagnosing cancer, discovering the cancer diagnosis at the very early
stage and apply with sufficient treatment can minimise the risks.
III. Theory/Model/Framework
The theory of planned behaviour can be used to explain the early check for cancers
by analysing behaviours (Ajzen, 1991). Bruijn, Wiedemann & Rhodes (2014) deem
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the theory of planned behaviour defines the relations among beliefs, attitudes,
behaviour intentions and behaviours, and can be considered as one of the most
predictive theories. In line with Figure 1 (Ajzen, 1991) in Appendix, it is obvious that
there are three variables, including attitude towards the behaviour, subjective
norms, and perceived behavioural control, which influence behavioural intention
thus different behaviours can be performed.
Firstly, Williams & French (2014) believe that attitude towards behaviour is
determined by behavioural beliefs and evaluation of behavioural outcomes. And
attitude towards behaviour can also be affected by personal belief, thus the positive
attitude towards early check for cancer might have influence on younger women to
participate in early cancer detection testing with high motivation. Additionally, the
positive attitude may also influence family members and friends by some external
surrounding (Barkworth, Hibbert, Horne, & Tagg, 2002) so that people would be
more likely to do early checks for cancers.
Secondly, it is stated by Hobbs, Dixon, Johnston & Howie (2013) that subjective norm
is complied and identified by normative beliefs and motivations. For instance, if
there is high public awareness of how early cancer detection is important among the
whole society, then personal subjective norm will be positively influenced on
behavioural intention and then behaviour, so that individuals would participate in
early checks for cancers.
Lastly, perceived behavioural control is decided by control beliefs and perceived
powers (Bruijn, Wiedemann & Rhodes, 2014), thus the high perceived behavioural
control could be a strong intention which may motivate or directly affect an actual
behaviour. In this case, providing transparent and adequate information of the
importance and significance of early cancer checks would improve the confidence of
an individual on the motivated intention to join early checks for cancers.
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IV. Recommendations
In accordance with the brief analysis of the planned behaviour theory and the
multiple and interwoven contributing factors, three strategies can be recommended
to address the factors on younger women participating early cancer detection
checks.
- Promotion
The first marketing strategy is to promote the early cancer detection in public areas
such as hospitals, schools and workplaces through media.
Australia Cancer Council should primarily put effort on the expansion of public
awareness of importance and advantages of taking early cancer checks. Through this
process, the cooperation with government can be used, such as printing posters on
the buses that younger passengers can be noticed. Multiple media channels can be
used as well, including traditional media channels such as magazines and televisions,
and also including new media channels such as websites and social media (Dutta-
Bergman, 2010). In aim of young people, promotion is required in schools and
universities to change the attitude of younger people so that they can gain more
knowledge of early cancer checks.
Furthermore, certain fundamental strategies should be provided as well, such as
detailed check lists and handouts. The check lists can be handed out on buses, trains
and universities, so that the external surroundings can be changed and then the
attitude of individuals can be influenced (Barkworth, Hibbert, Horne, & Tagg, 2002).
As a result of this, the positive attitude could be intentions that younger people can
be motivated and reinforced to do early cancer detection tests.
- Product
The other strategy can be considered to use is providing appropriate medical
products or services for people who have decided to participate in the early cancer
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checks, for example, the Cancer Screening. For instance, it is already acknowledged
that BreastScreen Australia is a free program serviced for women aged between 50
and 74 every 2 years, with the purpose of reducing deaths from breast cancer
though early detection (Department of Health, 2016). It can be noticed that the
targeting group of the Cancer Screen is middle-aged and elder women, while
younger women are not in the range. To improve the awareness and to firm the
beliefs of younger women toward the early cancer check the Department of Health
should take expanding the age range from younger women to elder women for the
Cancer Screening. This action can effectively reduce the risks of letting cancer
develop to late stage without discovery, so that early treatment can be provided as
well. The service should be free for Australians as well, so that every younger woman
can live a healthier life with early detection of cancer without worrying about if they
are able to afford the test or not.
- Physical Evidence
The last strategy is the physical evidence which is aimed at combining subjective
norms of individuals with the early cancer checking behaviour. The personal norms
about early cancer detection test will increase when the normative belief of the
society is positive (Ajzen, 1991). Younger women might think themselves very
healthy after an actual check for early cancer, and positive subjective norm from the
experience could therefore motivate the behaviour of them. From the study done by
Friedenreich & Orenstein (2002), participants with previous physical activities or
assessments about primary prevention of cancer are conducting positive changes
and aspects towards the experience, even there are higher survival possibility after
diagnosis. Overall, physical evidence is also vital for younger women to gain positive
norms to motivate the intention behaviours so that the final behaviour of early
cancer detection testing can be done.
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V. References
Ajzen, I. (1991). The theory of planned behavior. Organizational Behavior and
Human Decision Processes, 50(2), 179-211. doi:10.1016/0749-5978(91)90020-T
American Cancer Society. (2014, January 10). Lifetime risk of developing or dying
from cancer. Retrieved from
http://www.cancer.org/cancer/cancerbasics/lifetime-probability-of-developing-
or-dying-from-cancer
Australian Cancer Network Colorectal Cancer Guidelines Revision Committee. (2015).
Guidelines for the prevention, early detection and management of colorectal
cancer. Sydney: The Cancer Council Australia and Australian Cancer Network.
Australian Cancer Research Foundation. (2014). Cancer Statistics Australia. Retrieved
from https://acrf.com.au/on-cancer/cancer-statistics-australia/
Australian Institute of Health and Welfare. (2015). Cancer. Retrieved from
http://www.aihw.gov.au/cancer/
Australian Institute of Health and Welfare. (2014). Cancer in Australia: an overview
2014. Canberra: AIHW.
Barkworth, L., Hibbert, S., Horne, S., & Tagg, S. (2002). Giving at risk? Examining
perceived risk and blood donation behavior. Journal of Marketing Management,
18(9-10), 905-922. doi: 10.1362/0267257012930376
Beatty, L & Koczwara, B. (2010). An effectiveness study of a CBT group program for
women with breast cancer. Clinical Psychologist, 14(2), 45-53. doi:
10.1080/13284207.2010.500307
Black, W. C. & Welch, H. G. (1993). Advances in diagnostic imaging and
overestimations of disease prevalence and the benefits of therapy. The New
England Journal of Medicine, 328, 1237-1243. doi:
10.1056/NEJM199304293281706
Bruijn, G., Wiedemann, A., & Rhodes, R. E. (2014). An investigation into the
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relevance of action planning, theory of planned behaviour concepts, and
automaticity for fruit intake action control. British Journal of Health Psychology,
19(3), 652-669
Cancer Council Australia. (2015a, November 9). Early detection. Retrieved from
http://www.cancer.org.au/about-cancer/early-detection/
Cancer Council Australia. (2015b, November 17). Facts and figures. Retrieved from
http://www.cancer.org.au/about-cancer/what-is-cancer/facts-and-figures.html
David, G. (2008a, June 2). Early detection of cancer, part 2: Breast cancer and MRI.
Science-Based Medicine. Retrieved from
https://www.sciencebasedmedicine.org/early-detection-of-cancer-part-2-
breast-cancer-and-mri/
David, G. (2008b, May 12). The early detection of cancer and improved survival:
More complicated than most people think. Science-Based Medicine. Retrieved
from https://www.sciencebasedmedicine.org/the-early-detection-of-cancer-
and-improved-survival-more-complicated-than-most-people-think/
de Bock, G. H., Jacobi, C. E., Seynaeve, C., Krol-Warmerdam, E. M., Blom, J., van
Asperen, C. J., … van Houwelingen, J. C. (2008). A family history of breast cancer
will not predict female early onset breast cancer in a population-based setting.
BMC Cancer, 203(8). doi: 10.1186/1471-2407-8-203
Department of Health. (2016). BreastScreen Australia. Retrieved from
http://www.cancerscreening.gov.au/internet/screening/publishing.nsf/
Content/breast-screening-1
Department of Health. (2015, April 22). Cancer Screening. Retrieved from
http://www.cancerscreening.gov.au/
Dutta-Bergman, M. J. (2010). Complementarity in consumption of news types across
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traditional and new media. Journal of Broadcasting & Electronic Media, 48(1),
41-60. doi: 10.1207/s15506878jobem4801_3
Friedenreich, C. M. & Orenstein, M. R. (2002) Physical activity and cancer prevention:
Etiologic evidence and biological mechanisms. The American Society for
Nutritional Sciences, 132(11), 34565-34645.
Hobbs, N., Dixon, D., Johnston, M., & Howie, K. (2013). Can the theory of planned
behaviour predict the physical activity behaviour of individuals?. Psychology &
Health, 28(3), 234-249.
Josephson, J. (2006). Chemical exposures: Prostate cancer and early BPA exposure.
Environmental Health Perspect, 114(9): A520.
Rath, G., & Sharma, D. (2005). Accelerated partial breast irradiation with high dose
rate brachytherapy for early breast cancer. Journal of Cancer Research and
Therapeutics, (3), 126.
Williams, S. L., & French, D. P. (2014). Theory of planned behaviour variables and
objective walking behaviour do not show seasonal variation in a randomised
controlled trial. BMC Public Health, 14(1), 1-19. doi:10.1186/1471-2458-14-120
Yang, P., Tang, J., & Chen, C. (2012). An evaluation study of a dementia screening
program in Taiwan: An application of the theory of planned behaviors. Journal of
Gerontological Social Work, 55(7), 626-640. doi:10.1080/01634372.2012.681108
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VI. Appendix
Figure 1. Theory of Planned Behaviour.
(Sourced from Ajzen (1991): The theory of planned behavior).
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AMB200 Consumer Behaviour: Assessment Item 2 - CB ReportName & Student No.: Kaixin MA N9118187
Tutorial Time & Tutor: Graham Fellows, Monday 8am
Topic:2
7 6 5 4 3 2-1Problem-Identification and research (40 marks)Problem/opportunityand perspective
You make a clear, accurate and up-to-datestatement about the argument you are presenting and have defined the key issues in the topic. You articulate a defined, realistic and clear perspective.
You make a clear statement aboutthe argument you are presenting and define some of the key issues in the topic. You articulate a realistic and clear perspective.
You have attempted to make aclear statement about the argument you are presenting and define some of the key issues in the topic. You provide your perspective.
You have defined an issue inthe topic. Your perspective is not clear.
You fail to specify theargument you are presenting and do not define the key issues in the topic. Your perspective is not clear.
8.5 - 10 7.5 – 8 6.5 – 7 5 – 6 0 – 4.5
Literature review You critically analyse relevant researcharticles, demonstrate an excellent understanding of the literature, integrate readings into a coherent and logical argument, and display a comprehensive understanding of current thought on the topic. You use a minimum of 7 peer- reviewed scholarly sources in your literature review.
You critically analyse relevantresearch articles, demonstrate a strong understanding of the literature, convey the results of the readings into a useful argument, and display a functional understanding of current thought on the topic.
You analyse relevant researcharticles, demonstrate a sound understanding of the literature, convey the results of the readings into a useful argument, and display a functional understanding of current thought on the topic.
You describe, rather thananalyse the literature. You attempt to convey the results into an argument. You demonstrate some understanding of current thought on the topic.
You do not critically presentrelevant research or demonstrate an understanding of the literature. You describe rather than intergrate outcomes and do not display an understanding of current thought on the topic.
13 - 15 11.5 – 12.5 10 - 11 7.5 – 9.5 0 – 7
Use of information andappropriate theory/model/framework
You have demonstrated a very high levelof understanding of consumer behaviour theories relevant to the topic. This is likely to involve synthesis of theories and development of new ideas. You have selected a highly appropriate T/M/F.
You have demonstrated a highlevel of understanding of consumer behaviour theories relevant to the topic. You have selected a highly appropriate T/M/F.
You have demonstrated a goodlevel of understanding of consumer behaviour theories relevant to the topic. You have selected an appropriate T/M/F.
You have demonstrated asatisfactory level of understanding of consumer behaviour theories relevant to the topic. You have selected an appropriate T/M/F.
You fail to demonstrate asatisfactory level of understanding of consumer behaviour theories relevant to the topic. You have not selected an appropriate T/M/F.
13 - 15 11.5 – 12.5 10 - 11 7.5 – 9.5 0 – 7
Application (40 marks)Marketing solutions You have formulated three
recommendations using high level, relevant marketing principles and frameworks. The solutions are creative and original.
You have formulatedrecommendations using high-level marketing principles and frameworks. The solutions may be creative.
You have formulatedrecommendations using relevant marketing principles and frameworks.
You have formulatedrecommendations using some marketing principles and frameworks
You fail to formulaterecommendations using marketing principles and frameworks
25.5 - 30 22.5 - 25 19.5 - 22 15 - 19 0 – 14.5
Justification ofrecommendations
Your three recommendations are clearlylinked to the problem and T/M/F you identified, and clearly relate back to your literature review. You have clearly explained your recommendations.
Your recommendations are linkedto the problem and T/M/F you identified, and relate back to your literature review.
Your recommendations may belinked to the problem and T/M/F you identified, and may relate back to your literature review in some instances.
Your recommendations arenot clearly linked to the problem and T/M/F you identified, and are not clearly related back to your literature review.
Your recommendations areunclear. You fail to demonstrate any links to the problem and T/M/F you identified, and you do not relate back to your literature review.
8.5 - 10 7.5 – 8 6.5 – 7 5 – 6 0 – 4.5
12
AMB200 CB Report Kaxin MA n9118187Communication and interpersonal skills (20 marks)Written presentationstructure and format
You organise content clearly andprofessionally, and make no technical errors. You have followed the structural requirements closely. You are within the word count. The referencing style is consistent and correct with a wide range of appropriate, scholarly references.
You organise content clearly andlogically, and make no technical errors. You have followed the structural requirements closely. The referencing style is consistent and correct with a good range of appropriate, scholarly references.
You organise content clearlyand make very few technical errors. You have attempted to follow the structural requirements. The referencing style has minimal errors with appropriate references.
You attempt to organisecontent clearly and make some technical errors. You have attempted to follow the structural requirements. The referencing style has some errors and inconsistencies.
You present content in anincoherent way and make frequent technical errors through the paper. You do not reference your sources appropriately.
17 - 20 15 – 16.5 13 – 14.5 10 – 12.5 0 – 9.5
Total: / 100 Reweighted: / 35%
Comments:
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