The online stores have covered almost most of the retail industries nowadays and the brick and mortar companies are not able to tackle with the problem that consumers are bending towards the online stores. Myer and David Jones like departmental stores do not have concerns regarding online stores only but, their concern also associated to the international retailers and the consumer sentiments. The consumers’ needs and requirements are changing with the passage of the time and it gradually changes due to may reasons including technological advantage, new trends, new needs, and many more (Fernie & Sparks, 2014). The advancement in the technology allows individual to have better facilities and innovative services those could be better and enhanced. Myer and David tried to implement innovation however, those were not sufficient enough for attracting the consumers. Nowadays, retailing industry is strongly being influenced by online marketing strategies and this is a real concern for the bricks and mortar companies to tackle the customers’ attraction. The leading online retailing companies are Amazon, Flipkart, eBay, and others those have already strengthen their roots in retailing (Alexander, 2016). Proposing departmental stores can be a boon for offline stores or the retail companies those are handling the current consumer needs and requirements. The current tendency of the retail market is bending towards the availability of large number of products and range of verities along with the ease of selection and purchasing. There is the need of certain strategies and better decision-making that can promote the departmental stores as compared to that of the online rivals.
The purpose of this report is to analyze the existing customers’ behavior towards product purchasing and propose the better strategies those can allow the departmental stores to cope up with the competition among the online rival companies. The aim will be to understand the consumers’ needs and requirement and analyzing them with respect to the online and the offline departmental stores in manner to identify the sectors those could be vital for the departmental stores to deploy the strategies those could be much more beneficial and effective. The objective of the report could be listed as following:
To Analyze the existing needs and requirements of the consumers those are bending towards online retail companies.
To relate the consumer experience with the online stores and the offline departmental stores
To propose the strategies those could allow departmental stores to be ahead of the online stores
To propose the necessary changes and manipulations those could be implemented for enhancing the productivity and output through encouraging the involvement of the consumers.
The research will need the primary (both qualitative and quantitative data) and secondary data analysis in manner to propose an effective and efficient results for the readers in adopting strategies those could possibly enhance the incorporation of the consumers with the offline departmental stores (Burns, Bush & Sinha, 2014). The primary approach will be analyzing the perspective of the different experienced individuals in the departmental stores. This will be helpful in identify the major causes those have been real pain for the departmental stores. They will be guiding towards the regions those are vital for proposing the strategies and concerning the sectors in much expanded thought (Hainmueller, Hiscox & Sequeria, 2015). The collection of information from the relative audience for which the strategies being proposed will be helpful in mapping the research and targeting towards the same objective and goals. This approach will lead towards the collection of certain data those could be further analyzed through the data analysis application in manner to reach at certain conclusion that is effective and efficient enough for the audiences.
The second approach will be to identify and analyze the perspective of the consumers and collecting relative information and data those could be utilized for the research. This will ensure the strategies and decision-making those are best suited for the consumers while looking or buying for a product. This strategy will be focusing on pointing out the services and the way of service delivery that is best suited for the consumers.
The third approach will be conduct literature review in manner to cover a broad aspect of the project and reach to a certain point where deep learning could be helpful in getting the output of the research. Many researchers do primary data analysis based on the data collected from their side and thus, it will be boosting the research assuring reliability and feasibility of the research being delivered (Lim et al., 2016). Most of the peer-reviewed journals have the reliable information and thus, conducting research on various similar papers could be helpful in reaching at certain conclusion that can be beneficial for the departmental stores.
Fourth approach will be to relate the data and information collected via primary and secondary data analysis and finally, reaching at a point where conclusion can be proposed. This will be helpful in demonstrating the reliability and efficiency of the strategies being proposed for the delivery of the strategies those could allow coping up with the competition with the online rivals.
As part of the quantitative data collection a questionnaire will be developed based on the review of the secondary data and the structure of the questionnaire has been attached below:
The questionnaire is aimed at identifying the challenges that is faced by the Australian Departmental Store.
The population for the paper will be the customers of the firm and those who consume similar product as sold by the Australian Department Store. As the firm operates through offline means and is established in Australia so the population of the research work will be Australian and will belong to the geographical domain where the research is being conducted. Furthermore, the population will not only be limited to customer but will consider certain professionals who poses immense knowledge in context with the market, strategic planning and decision making skills. The organizational employee will also be included as part of the quantitative data collection. The decision for the inclusion of the organizational employee could be supported by the fact that they have past experiences about the customer and their choices. The sampling of the population will be done through random sampling which provided the entire population with the opportunity to become part of the research work that is to be conducted (Quinlan et al., 2019).
To conduct the research a sample size of 200 will be selected for the purpose of the proposed research work. Out of the 200 sample size 20 of them will the professionals that are skilled in the market analysis, decision making and strategic development. The remaining will include the customers and the organizational employees. The employee size will be limited to 30 and the remaining 150 will be customers.
The above discussed sampling is for the quantitative data collection while for qualitative data collection a random sampling size of 20 will be selected of which 5 will be the organizational employee 5 of them will be the managerial position holders, 5 will be professionals and the remaining will be the customers. The managerial position holders have been included as part of the qualitative data collection because it will consist of open ended questions and the response from the discussed sample can be tested to gain an insight into the factors that are acting as a constraint for the organisation. The selection of the remaining samples could be justified similar to quantitative data collection.
As discussed the research work will account for mixed data collection and hence all three data will be collected. The secondary data will be collected from scholarly journals, government publications and other reliable online sources. The data for the quantitative data collection will be collected using an online questionnaire that will be developed using Google form. The data will be stored in the Google Spreadsheet and MS Excel. The qualitative data will be collected through interviews which can extend from face-to-face interview to VoIP (audio call, video call, instant chat and others) interviews depending on the comfort and availability of the respondent. It should also be noted that the review of the secondary data will be used for development of the questionnaire for the collection of quantitative data. While the quantitative data findings will be used to develop interview questions for qualitative data collection.
The data analysis for the quantitative data will be done through the ANOVA and T Test using the SPSS statistical analysis tool. The selection of the discussed testing could be justified by the fact that the aim of the paper is to identify relationships between the customer’s need and based on the same how decisions will be made (Brady et al., 2015). For the secondary and qualitative data theoretical analysis will be done which will include the ground theory approach (Pal, Ramamurthy & Mahajon, 2016). The discussed approach has been adopted so that necessary patterns and frameworks could be identified which will help in attaining the research objectives.
Task Name |
Duration |
Start |
Finish |
Predecessors |
Cost |
Research ideas in depth |
4 days |
Fri 12-10-18 |
Wed 17-10-18 |
$50.00 |
|
Proceed with the departmental stores case study |
3 days |
Thu 18-10-18 |
Mon 22-10-18 |
2 |
$50.00 |
Identifying problems |
5 days |
Tue 23-10-18 |
Mon 29-10-18 |
3 |
$50.00 |
Identification of research objectives |
3 days |
Tue 30-10-18 |
Thu 01-11-18 |
4 |
$50.00 |
Identification of research purpose |
2 days |
Fri 02-11-18 |
Mon 05-11-18 |
5 |
$50.00 |
Identification of the analysis method |
4 days |
Tue 06-11-18 |
Fri 09-11-18 |
6 |
$75.00 |
Identifying targeted sectors |
3 days |
Mon 12-11-18 |
Wed 14-11-18 |
7 |
$75.00 |
Identification of targeted audience |
5 days |
Thu 15-11-18 |
Wed 21-11-18 |
8 |
$25.00 |
Primary data analysis |
3 days |
Thu 22-11-18 |
Mon 26-11-18 |
9 |
$25.00 |
Secondary data analysis |
2 days |
Tue 27-11-18 |
Wed 28-11-18 |
11 |
$50.00 |
Using data analysis tools |
4 days |
Thu 29-11-18 |
Tue 04-12-18 |
12 |
$40.00 |
Proof reading research |
2 days |
Wed 05-12-18 |
Thu 06-12-18 |
13 |
$20.00 |
collecting reviews from qualified individuals |
4 days |
Fri 07-12-18 |
Wed 12-12-18 |
14 |
$30.00 |
Making necessary changes |
2 days |
Thu 13-12-18 |
Fri 14-12-18 |
15 |
$20.00 |
Writing conclusion |
2 days |
Mon 17-12-18 |
Tue 18-12-18 |
16 |
$25.00 |
research ends |
2 days |
Wed 19-12-18 |
Thu 20-12-18 |
17 |
$50.00 |
References
Alexander, A. (2016). The study of British retail history. The Routledge Companion to Marketing History, 155.
Brady, S. M., Burow, M., Busch, W., Carlborg, Ö., Denby, K. J., Glazebrook, J., … & Springer, N. M. (2015). Reassess the t test: interact with all your data via ANOVA. The Plant Cell, tpc-15.
Burns, A. C., Bush, R. F., & Sinha, N. (2014). Marketing research (Vol. 7). Harlow: Pearson.
Fernie, J., & Sparks, L. (2014). Logistics and retail management: emerging issues and new challenges in the retail supply chain. Kogan page publishers.
Hainmueller, J., Hiscox, M. J., & Sequeira, S. (2015). Consumer demand for fair trade: Evidence from a multistore field experiment. Review of Economics and Statistics, 97(2), 242-256.
Lim, Y. J., Osman, A., Salahuddin, S. N., Romle, A. R., & Abdullah, S. (2016). Factors influencing online shopping behavior: the mediating role of purchase intention. Procedia Economics and Finance, 35, 401-410.
Pal, S., Ramamurthy, A., & Mahajon, B. (2016). Arogyavardhini Vati: A theoritical analysis. Journal of Scientific and Innovative Research, 5(6), 225-227.
Quinlan, C., Babin, B., Carr, J., & Griffin, M. (2019). Business research methods. South Western Cengage.
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