Brief statement of the problem
There are different surveys conducted at renowned platforms on Apple and Samsung war which proves that both the companies are constantly fighting to find their customers base (Chen & Ann, 016). Large market share helps the company in gaining profitability but it cannot be considered as best strategy to base the complete market strategy on it in long run. Therefore, in the war of Apple and Samsung any mid-priced phone in Samsung will not impact the ability of Apple to get customers into the current ecosystem of the company. The main reason for this is that the customer of the Apple usually sticks to the product and the company tries to take advantage of this fact most strongly (Nagpal, 2014). The war of price is never ending between both the companies since there is group of customers that are slowly becoming price sensitive.
Research aim and objectives
The price war and struggle between both the companies has forced both the companies to take different routes to get customer attention like discount and other similar base to understand the psychology of the product. Like Apple, provides a discount to any consumer who is able to trade in an older base of Smartphone for the company’s product (Fortunato, 2014). Similarly, Samsung plans the strategy here as per the move of Apple and all the discounts and other schemes are operated accordingly. All their offers are usually in connection with Apple decisions and schemes. The aim of the report is to study this in detail and draw conclusion price sensitive nature of consumer (Cusumano, 2013).
Report methodology: Quantitative research
The report will use the qualitative method for the research. The main emphasis of the research is based on measurement of goals and the overall statistics with math or other kind of analysis in numerical form (Pierce & Sawyer, 2013). Here data is actually collected with the help of poll, questionnaires and different kind of surveys or it can be manipulating different data already existing for the research with the help of computational tools. Quantitative research also aims on collecting various kinds of numerical based data and further making it general for many groups of people. It is also based on explaining a specific element (Anderson et al, 2015).
The exploratory based design will help in understanding the research problem more clearly. It is crucial specifically when there are very few or sometimes no previous studies to refer or understand. The main attention is on gaining some kind of insight and at the same time some kind of familiarity for investigation in later stage (Mollick, 2014).
The main goal of this kind of research is based on an intention to develop the following conclusions: -
- Getting familiar with fundamental details and many other similar concerns.
- Clear picture of the situation along with new kind of ideas along with developing different kind of tentative principles (Greene et al, 2015).
- Deciding about the feasibility of the study in coming future.
Type of data collection used
Documents and records: this report will examine the data and facts already existing in the form of databases, along with meeting minutes with reports as well as financial records or other kind of newsletters (Wright et al, 2016). This is actually a very inexpensive method to collect data however, one need to be careful since it can be incomplete source in some cases (Orkin, 2014).
Anderson, D. R., Sweeney, D. J., Williams, T. A., Camm, J. D., & Cochran, J. J. (2015). An introduction to management science: quantitative approaches to decision making. Cengage learning.
Chen, C. M., & Ann, B. Y. (2016). Efficiencies vs. importance-performance analysis for the leading smartphone brands of Apple, Samsung and HTC. Total Quality Management & Business Excellence, 27(3-4), 227-249.
Cusumano, M. A. (2013). The apple-samsung lawsuits. Communications of the ACM, 56(1), 28-31.
Fortunato, C. (2014). Cellular Serial Link between Microcontrollers.
Greene, P. G., Brush, C. G., & Brown, T. E. (2015). Resources in small firms: an exploratory study. Journal of Small Business Strategy, 8(2), 25-40.
Mollick, E. (2014). The dynamics of crowdfunding: An exploratory study. Journal of business venturing, 29(1), 1-16.
Nagpal, P. (2014). Key actors in the mobile phone industry: the smart phone wars. Journal of Management Information and Decision Sciences, 17(1), 87.
Orkin, K. (2014). Data Collection Methods. In Encyclopedia of Quality of Life and Well-Being Research (pp. 1430-1432). Springer Netherlands.
Pierce, W. C., & Sawyer, D. T. (2013). Quantitative analysis. John Wiley And Sons, Inc; London; Toppon Company, Ltd; Japan.
Wright, A. L., Wahoush, O., Ballantyne, M., Gabel, C., & Jack, S. M. (2016). Qualitative Health Research Involving Indigenous Peoples: Culturally Appropriate Data Collection Methods. The Qualitative Report, 21(12), 2230.