Homework Question
Running Head: MARUTI SUZUKI CASE 2
MARUTI SUZUKI CASE STUDY 2
Maruti Suzuki Case Study
Instructor: Trevor Caskey, Ph.D.
Patricia Vela
QSO-500 Business Research
Maruti Suzuki Case Study
Descriptive Statistics
As shown in the case study, the exhibit and data on the Maruti Suzuki India performance have been availed with a trend that it can be analyzed properly using descriptive statistics. Both the quantitative and qualitative sets of data have been provided for various products and various periods. In that particular case, “the right data sets that need to be deployed in the descriptive statistics is the quantitative data. The central tendencies shall be employed the median, median or mode shall be deeply explored for the data set. Furthermore, dispersion measures such as standard deviation will be deployed in the analysis because these are the components that make up the descriptive statistics (Mukherje et al.,2015). However, much of the data found in the exhibits have already been statistically analyzed, providing a mean in various conditions and markets”.
Exhibit 2: Passengers Cars Sales (in thousand cars)
The sets of data indicate various car model sales in India as well as the ones that have been sold by “Maruti Suzuki India Limited ranging from the year 2008 to 2013. By use of descriptive statistics, there are two most crucial measures that need to be applied, which are the Standard deviation and the mean” (Mukherje et al.,2015). The data in the case shall be analyzed using periods and segments.
A-Segment Mean
The segments that are included are the mid-hatch, the entry-hatch and the premium for the A-segment. The Van, the “SUV/MUV and Sedan have as well been included in the total car industry” (Sekaran et al., 2016). Thus, the focus mainly on the research is the A-segment. The total number of cars that were for the A-segment were as follows:
|
Segment |
India |
MSIL |
|
Entry-hatch |
295 |
262 |
|
Mid-hatch |
498 |
189 |
|
Premium hatch |
128 |
110 |
|
Totals |
920 |
561 |
|
Mean Sales |
307 |
187 |
|
Standard deviation |
185 |
76 |
2009/2010
|
Segment |
India |
MSIL |
|
Entry-hatch |
341 |
268 |
|
Mid-hatch |
581 |
219 |
|
Premium hatch |
263 |
179 |
|
Totals |
1149 |
666 |
|
Mean Sales |
383 |
221 |
|
Standard deviation |
166 |
45 |
2010/2011
|
Segment |
India |
MSIL |
|
Entry-hatch |
478 |
373 |
|
Mid-hatch |
629 |
252 |
|
Premium hatch |
439 |
210 |
|
Totals |
1546 |
835 |
|
Mean Sales |
515 |
278 |
|
Standard deviation |
100 |
85 |
2011/2012
|
Segment |
India |
MSIL |
|
Entry-hatch |
487 |
332 |
|
Mid-hatch |
527 |
177 |
|
Premium hatch |
500 |
218 |
|
Totals |
1514 |
727 |
|
Mean Sales |
505 |
242 |
|
Standard deviation |
21 |
80 |
2012/2013
|
Segment |
India |
MSIL |
|
Entry-hatch |
435 |
285 |
|
Mid-hatch |
415 |
156 |
|
Premium hatch |
532 |
244 |
|
Totals |
1381 |
685 |
|
Mean Sales |
460 |
228 |
|
Standard deviation |
62 |
66 |
Mean, and Standard deviation has been used in the A-segment analysis above. The standard deviation has been used to show the spread or the dispersion of the segment values. The mean is the most appropriate to do the analysis because it shows the changes in mean for the sales from one period to another. The MSIL mean sales relative to the total sales in India look like they change from one financial period to another. There is a downward change in sales means from2008 to 2013.
Exhibit 3: Year-wise market share of India car manufacturers projections
For the data shown in the table shows only the percentage. The main look should be on the MSIL over the years covered (Creswell & Creswell,2017).
|
The manufacturer |
2008/2009 |
2009/2010 |
2010/2011 |
2011/2012 |
2012/2013 |
|
MSIL |
47% |
45% |
45% |
38% |
39% |
|
Mean loss or gain |
- |
2% |
1% |
7% |
1% |
There have been some substantial changes for the years mentioned for the market command. There are some companies that show the upward trend to gain the market, but the MSIL has been losing its share in the market.
Exhibit 5: The tata Nano Explanation of figures
There is a drop in sales of close 200 units in November year 2010 has been indicated. The reason is due to the safety reasons and the payment model as well, which does not encourage down payment. “Deals gain for the period May 2011 has been shown to be brought about by service agreement and Nano Facelift adaptation dispatch. Note that the organization in the investigation in this Exhibit is Tata which is one of the contenders of MSIL”.
Exhibit 6: India A-segment existing Consumers
It shows the mean occupation and household income in terms of percentage. “Independently employed individuals are the dominant part of clients with a fair, measured family. Individuals with under ₹50,000 are not many, and this unmistakably shows that it is difficult for them to manage the cost of the vehicles in any of the portion (Mukherjee et al., 2015). Discretionary cash flow and the normal family size subsequently are extraordinary determinants in the vehicle that a client chooses to buy”.
The exhibit 10: The A-segment cars bought from Maruti Suzuki Motivation
The data sets consist of the mid hatch, premium hatch and entry hatch which indicates that close to 48% are attracted into buying their first car from Maruti Suzuki India. “A portion of the reasons that may fuel this is modest buy costs. The rate anyway drops for those requiring extra vehicle from the organization. Just 27.3% would buy an expansion vehicle from Maruti Suzuki, and this could be because of the absence of development in the items and helpless administration. The most reduced level of 24.9% is seen on those requiring substitution from the organization”.
Exhibit 11: Petrol and Diesel vehicles Sales Trends
The factual investigation “gives the mean for the years in rate demonstrated that petroleum vehicles in the section and mid-incubate would lessen from 5% to 2% later. In a similar section, diesel vehicles are relied upon to increment from 5% to 25%. Be that as it may, there is a decrease in the extended deals” of petroleum vehicles just as diesel vehicles for premium-bring forth, Sedan and SUV/MUV fragments.
Inferential Statistics
The inferential statistics purpose to arrive at conclusions that go past the data available. Exhibit 3 and Exhibit 2 shows the MSIL negative growth (Becker,2015). The variance analysis clearly shows that. In the years to follow, Maruti Suzuki will see a decline in business just as its piece of the overall industry. If the organization doesn't actualize brisk techniques, the organization will likewise observe the improvement of firm rivalry in the A-segment. The yield will be misfortunes for the organization.
The result will be misfortunes for the organization. The market is changing. Thus, the organization must provide gadget instrument to stay on top. “Exhibit 4 shows the way that Nano Tata has followed to guarantee an improvement of the deals and piece of the overall industry. In this reference to this, unmistakably different organizations are adjusting to the buyer needs and accordingly expanding their stakes on the lookout. Inferential insights from this display show that Maruti Suzuki will be surpassed by different organizations like Tata who are improving their items to pull in more customers in the A-segment”.
Exhibit 6, 10 and 11shows the “need to enhance the items through cost reduction, fuel viability, and item improvement (Mukherjee et al., 2015). The general yield from the information introduced in the display places MSIL at a dark spot as far as disappointment and breakdown are concerned. If the organization doesn't make advancements, it is normal that different organizations will surpass it and increase control in the A-segment”.
The results meaning
The statistical analysis shows that MSIL is not doing well, and it is off track at the moment. The reduced sales and the market share loss show that there is a need to do something if the company stand a chance of rescuing itself in the A-segment (Avanzi et al., 2015). It was expected that you see that Maruti Suzuki would be doing well in the market and really providing real competition to the rivals. However, the company seem to have fallen in terms of management and product policies. There is no innovation in the company, and this has led to the negative statistics for the company. Therefore, the clearest hint is that the results showcase a negative performance and thus call for improvement is inevitable.
References
Avanzi, L., Schuh, S. C., Fraccaroli, F., & van Dick, R. (2015). Why does organizational identification relate to reduced employee burnout? The mediating influence of social support and collective efficacy. Work & Stress, 29(1), 1-10. Retrieve from https://www.tandfonline.com/doi/abs/10.1080/02678373.2015.1004225
Becker, T. E. (2015). Potential problems in the statistical control of variables in organizational research: A qualitative analysis with recommendations. Organizational Research Methods, 8(3), 274-289. Retrieve from https://journals.sagepub.com/doi/full/10.1177/1094428118775205
Creswell, J. W., & Creswell, J. D. (2017). Research design: Qualitative, quantitative, and mixed methods approach. Sage publications.
Mukherjee, Mathur and Dhar (2015). MARUTI SUZUKI INDIA: DEFENDING MARKET LEADERSHIP IN THE A-SEGMENT
Sekaran U. & Bougie, R. (2016) Research Methods for Business: A Skill-Building Approach (7th Edition). The United Kingdom. John Wiley and Sons Ltd. Retrieve from https://books.google.co.ke/books?hl=en&lr=lang_en&id=Ko6bCgAAQBAJ&oi=fnd&pg=PA19&dq=Sekaran+U.+%26+Bougie,+R.+(2016)+Research+Methods+for+Business:+A+Skill-Building+Approach+(7th+Edition).+United+Kingdom.+John+Wiley+and+Sons+Ltd.&ots=2CZPV0LVpM&sig=Ej73RYZNFKIYhSUFN3ifIE3pE_w&redir_esc=y#v=onepage&q&f=false