Home > Free Essays > Business > Industry > Car Preferences for Dubai Car Users

Car Preferences for Dubai Car Users Essay

Exclusively available on IvyPanda Available only on IvyPanda
Updated: Apr 5th, 2022

Dubai’s auto industry has shown significant growth and stability in the past years. This makes it a viable industry to invest. However, it is important to understand the characteristic of the industry to ensure profitable investment. The aim of this report is to present an overview of Dubai’s car market. The information presented in the report will serve as a map, guiding the decisions of players in the auto industry. The findings in this research are based on an investigation into current and possibly future customer preferences of motorists in Dubai while making car purchase decisions. There has been an increase in the purchase of secondhand vehicles in Dubai (HSBC, 2013). This research will investigate the factors that influence the prices of cars. Considering the increase in secondhand vehicle choices amongst consumers, the study will focus on identifying the relationship between preferred vehicle price and car mileage.

Research methodology

The research is performed by identifying and analysing different analyzable data. Secondary and primary data are sourced for effective analysis. It is important to understand Dubai’s auto industry from the perspective of already concluded research before delving into the current study. Secondary data will summarise different findings concerning Dubai’s auto industry. The variables included in the primary research study will be a product of findings in the secondary data.

The primary data for this research study was collected through a survey of Dubai residents. The targets data related to the participants’ car preferences. The questionnaire will be distributed online and will be developed in such a way that repos ends can easily respond to the questions. All questions included in the questionnaire will be close-ended to derive results that are easily analyzable. The links to the questionnaire will be emailed to the participants and they may respond to the questionnaire at their convenience. The link will be closed after three weeks and 50 fully completed questionnaires will be collected and analysed.

The analysis will try to relate the participants’ car preferences with their demographics. The first title in the questionnaire (Target Market) comprises the independent variables, which include gender, age group, and income. The other titles are the dependent variables. By correlating respondents’ demographics, with their preferences, cost expectations, and their buying decisions, the demographic market that fits the different car types can be identified. Conclusions will be drawn from the outcomes of the analyses. The questionnaire is presented in the Appendix section of this report (Appendix I).

Dubai’s automotive market overview

Numerous articles and surveys focus on reviewing Dubai’s auto mobile industry (Jafza, 2013).It will be difficult to state the exact methods and results of each survey and research concerning Dubai’s auto industry. However some important points were drawn from a review of these studies.

Firstly, trends indicate that vehicle users in Dubai are preferring second hand cars (Jafza, 2013). A 40% growth in sales of second cars was recorded in 2013 only. This is an indication of consumers’ preference of cars in this category. Most of the second hand cars purchased by consumers, fall under the saloon/sedan category. The shift to second hand cars is influenced mainly by pricing (Jafza, 2013). Customers seek cheaper options when trying to purchase vehicles, and they price these second hand cars according to the car mileages (Jafza, 2013).

Findings and Data analysis

Target Market

The first part of the questionnaire investigated the demographics of the participants. The following charts summarises participants’ characteristics.

Gender

One of the variables considered for the user demographics was gender. The survey explored the gender variation the participants because of the importance of gender as a demographic. Understanding the gender distribution of the participants will help the researcher conclude if the results are inclined towards only a specific gender or if they are applicable for both male and female consumer. The table breaks down the percentage distribution with respect to gender. The results show that 54% of the participants were male, while 46% of them were female. While the results of the study will be more applicable to male consumers, the distribution is quite balanced.

Gender
Frequency Percent Valid Percent Cumulative Percent
Valid Male 27 54.0 54.0 54.0
Female 23 46.0 46.0 100.0
Total 50 100.0 100.0
Gender

The chart illustrates the distribution. It is obvious that the blue segment, which represents male participants, is larger than the green segment. This shows the presence of more male, than female participants.

Age Group

Age is another important characteristic in demographic analysis. The participants’ age distribution was considered in the survey. Understanding the age distribution of the participants will help the researcher conclude if the survey results are applicable towards only a specific age group or if they are applicable for consumers in the different age groups. The table breaks down the percentage distribution with respect to participants’ age groups. The results show that majority of the participants are within the 20 to 44 years of age. This age group is sufficient for the analysis of the results since most vehicles users would fall within this age group.

Age Group
Frequency Percent Valid Percent Cumulative Percent
Valid 18to 24 1 2.0 2.0 2.0
25 to 29 6 12.0 12.0 14.0
30 to 34 14 28.0 28.0 42.0
35 to 39 14 28.0 28.0 70.0
40 to 44 12 24.0 24.0 94.0
45 to 49 2 4.0 4.0 98.0
50 and above 1 2.0 2.0 100.0
Total 50 100.0 100.0
Age Group

The pie chart above is an illustration of the participants’ age group distribution. The brown, purple and, yellow segments of the chart are the largest and represent participants between 30 and 44 years.

Annual Remuneration

The purpose of selling cars is to make profits. Thus, it was necessary to consider the financial abilities of potential consumers. The following table highlights the distribution of the of the participants’ annual earnings in USD. The participants’ responses indicate that majority of the participants earn between 100000 to 150000 USD annually. It will be necessary to consider this when pricing the product.

Annual Remuneration
Frequency Percent Valid Percent Cumulative Percent
Valid Less than $20000 1 2.0 2.0 2.0
$20000 to $50000 10 20.0 20.0 22.0
$51000 to $100000 13 26.0 26.0 48.0
$101000 to $150000 16 32.0 32.0 80.0
$151000 to $200000 6 12.0 12.0 92.0
$201000 to $300000 3 6.0 6.0 98.0
Above $400000 1 2.0 2.0 100.0
Total 50 100.0 100.0
Annual Remuneration

The pie chart illustrates the distribution of the participants’ annual earning. The outcome of the research shows that majority of the participants earn between 51000 and 150000 USD annually, represented by the brown, purple, and green segments of the pie chart. The pricing of the products should therefore focus on this group.

Consumer Preferences

The previous section of the report summarized the demography of the participants. The current section investigates consumers’ preferences when purchasing cars. Consumers have different preferences and it is important to investigate them.

Preferred Car Type

Different classes of cars are produced and distributed in the market. It will be irrational to choose a car class to release in the market, without first identifying the preferred car type. This informed the need to investigate consumers’ car preferences when making buying decisions. The results, shown in the table below, indicate that saloons/sedans are the most preferred types of cars amongst the participants. 68% of the participants preferred saloons/sedans.

Preferred Car Type
Frequency Percent Valid Percent Cumulative Percent
Valid Micro car 2 4.0 4.0 4.0
hatchbacks 3 6.0 6.0 10.0
saloons/sedans 34 68.0 68.0 78.0
estate car 5 10.0 10.0 88.0
sports cars and grand tourers 3 6.0 6.0 94.0
convertible 3 6.0 6.0 100.0
Total 50 100.0 100.0
Preferred Car Type

The pie chart above illustrates the distribution of the participants’ preferred car types. The outcome of the research shows that majority of the participants (68%) prefer saloons/sedans, represented by the brown segment of the pie chart. The management should focus on release cars that fall under this category when targeting the marketing.

Preferred Car Pricing

As earlier, pricing is an important aspect of marketing. It is important to understand customers’ willingness to purchase a product at a particular price, before pricing the product. The participants chose their preferred type of cars. This question asked the participants to state the price range that was most rational for the car type they selected. The participants’ responses is summarised in the table below. Majority of the participants (46%) suggested that cars should be priced from 6001 to 9000. 20% of the participants said cars should be priced from 9001 to 12000.

Expected Price
Frequency Percent Valid Percent Cumulative Percent
Valid below 3000 2 4.0 4.0 4.0
3000 to 6000 10 20.0 20.0 24.0
6001 to 9000 23 46.0 46.0 70.0
9001 to 12000 10 20.0 20.0 90.0
12001 to 15000 4 8.0 8.0 98.0
18001 to 21000 1 2.0 2.0 100.0
Total 50 100.0 100.0
Preferred Car Pricing

The pie chart above illustrates the distribution of the participants’ preferred car prices. The outcome of the research shows that majority of the participants (56%), represented by the brown and purple segments of the pie chart, think cars should be priced from 6000 to 12000. The company should put this into consideration when releasing cars into the market.

Factors influencing Consumer Choices

Various factors may influence a consumer’s choice to purchase a car. It is important to understand the preferences of consumers in Dubai’s auto market in order to effectively position the cars to be sold. The questions investigated the factors that influenced participants’ car decisions the most.

Pricing

Price was the first factor to be considered. Participants were asked if they considered a car’s price when making buying decisions. 86% of the respondents agreed that the price of a car played a major role on their buying decision. 34% of these participants strongly agreed that pricing was important.

Price
Frequency Percent Valid Percent Cumulative Percent
Valid Strongly Disagree 2 4.0 4.0 4.0
Agree 5 10.0 10.0 14.0
Agree 26 52.0 52.0 66.0
Strongly Agree 17 34.0 34.0 100.0
Total 50 100.0 100.0
Price

The pie chart above illustrates the distribution of the participants’ perception of the importance of a car’s price in influencing their choice. The outcome of the research shows that majority of the participants (86%) agree that pricing is important (brown and purple segments of the pie chart). 34% (illustrated in the purple segment) strongly agree that car pricing is very important.

Fuel Consumption

Consumers also consider a car’s cost of maintenance. Fuel expense is an important maintenance cost. Participants were asked if they considered a car’s fuel consumption when making buying decisions. 90% of the respondents agreed that the fuel consumption of a car played a major role on their buying decision. 36% of these participants strongly agreed that fuel consumption is an important factor.

Fuel consumption
Frequency Percent Valid Percent Cumulative Percent
Valid Agree 2 4.0 4.0 4.0
Indifferent 3 6.0 6.0 10.0
Agree 27 54.0 54.0 64.0
Strongly Agree 18 36.0 36.0 100.0
Total 50 100.0 100.0
Fuel Consumption

The pie chart above illustrates the distribution of the participants’ perception of the importance of a car’s fuel consumption, in influencing their choice. The outcome of the research shows that majority of the participants (90%) agree that fuel consumption is important (brown and purple segments of the pie chart). 36% (illustrated in the purple segment) strongly agree that fuel consumption pricing is important.

Car Size

The size of a car may influence customer’s perception of a car. Participants were asked if they considered a car’s size when making buying decisions. 82% of the respondents were indifferent. 16% strongly disagreed and 2% agreed that car size was an important factor influencing their buying decisions.
Size
Frequency Percent Valid Percent Cumulative Percent
Valid Strongly Disagree 8 16.0 16.0 16.0
Agree 1 2.0 2.0 18.0
Indifferent 41 82.0 82.0 100.0
Total 50 100.0 100.0
Car Size

The pie chart above illustrates the distribution of the participants’ perception of the importance of a car’s size, in influencing their choice. The outcome of the research shows that most participants (82%) are indifferent about a car’s size (brown segment of the chart). 10% (illustrated in the purple segment) disagree that car size is an important factor influencing their buying choice.

Payment Affordability

Car companies may offer affordable payment methods to attract consumers to their products. The payment affordability of a car may influence customer’s perception of a car. Participants were asked if they considered the affordability of the payment options when making buying decisions. 76% of the respondents were indifferent, 20% strongly disagreed, and 4% agreed.
Affordable payment options
Frequency Percent Valid Percent Cumulative Percent
Valid Strongly Disagree 10 20.0 20.0 20.0
Agree 2 4.0 4.0 24.0
Indifferent 38 76.0 76.0 100.0
Total 50 100.0 100.0
Payment Affordability

The pie chart above illustrates the distribution of the participants’ perception of the importance of payment affordability on their choice. The outcome of the research shows that most participants (76%) are indifferent about a car’s size (brown segment of the chart). 20% (illustrated in the purple segment) strongly disagree that car payment option flexibility is an important factor influencing their buying choice.

Effect on Environment

The eco-friendly nature of a car may influence customer’s perception of that car. Participants were asked if they considered how environmentally friendly a car was, when making buying decisions. 70% of the respondents disagreed, with 28% out of them strongly disagreeing

.Eco-friendly
Frequency Percent Valid Percent Cumulative Percent
Valid Strongly Disagree 14 28.0 28.0 28.0
Disagree 21 42.0 42.0 70.0
Indifferent 13 26.0 26.0 96.0
Agree 2 4.0 4.0 100.0
Total 50 100.0 100.0
Effect on Environment

The pie chart above illustrates the distribution of the participants’ perception of the importance of environmental effects of a car on car their choices. The outcome of the research shows that most participants (28%) strongly disagreed that they consider a car’s effect on the environment when making their choices.

Luxury

The luxurious nature of a car may influence customer’s perception of that car. Participants were asked if they considered how luxurious a car was, when making buying decisions. Most (36%) of the respondents were indifferent. However, a considerable number (20%) strongly agreed that they would consider the luxurious nature of a car when making their buying decisions.

Luxury
Frequency Percent Valid Percent Cumulative Percent
Valid Strongly Disagree 2 4.0 4.0 4.0
Agree 5 10.0 10.0 14.0
Indifferent 18 36.0 36.0 50.0
Agree 15 30.0 30.0 80.0
Strongly Agree 10 20.0 20.0 100.0
Total 50 100.0 100.0
Luxury

The pie chart above illustrates the distribution of the participants’ perception of the luxurious nature of a car on their choices. From the distribution, it is observed that most of the participants are indifferent about luxury. However a considerable number of consumers consider luxury as being very important (illustrated in the yellow segment of the pie chart).

Techy-Nature

The techy nature of a car may influence customer’s perception of that car. Participants were asked if they considered how techy a car was, when making buying decisions. Most (30%) of the respondents were indifferent. However, a considerable number (32%) agreed that they would consider the techy nature of a car when making their buying decisions. The pie chart of the distribution is presented under the table.

Techy nature
Frequency Percent Valid Percent Cumulative Percent
Valid Strongly Disagree 5 10.0 10.0 10.0
Agree 9 18.0 18.0 28.0
Indifferent 15 30.0 30.0 58.0
Agree 16 32.0 32.0 90.0
Strongly Agree 5 10.0 10.0 100.0
Total 50 100.0 100.0
Techy-Nature

Aesthetics

The aesthetics of a car may influence customer’s perception of that car. Participants were asked if they considered the aesthetic value of a car, when making buying decisions. Most (50%) of the respondents were strongly agreed. Another 38% of the consumers agreed that they would consider the aesthetics of a car was an important factor to consider when making buying decisions.

Aesthetics
Frequency Percent Valid Percent Cumulative Percent
Valid Strongly Disagree 1 2.0 2.0 2.0
Agree 1 2.0 2.0 4.0
Indifferent 4 8.0 8.0 12.0
Agree 19 38.0 38.0 50.0
Strongly Agree 25 50.0 50.0 100.0
Total 50 100.0 100.0
Aesthetics

Speed

The performance of a car (in terms of its speed) may influence a customer’s perception of that car. Participants were asked if they considered a car’s speed, when making buying decisions. Most (40%) of the respondents were indifferent. However, a considerable number (32%) disagreed that they would consider a car’s speed as an important factor when making their buying decisions.

Speed
Frequency Percent Valid Percent Cumulative Percent
Valid Strongly Disagree 7 14.0 14.0 14.0
Disgree 16 32.0 32.0 46.0
Indifferent 20 40.0 40.0 86.0
Agree 6 12.0 12.0 98.0
Strongly Agree 1 2.0 2.0 100.0
Total 50 100.0 100.0
Speed

Durability

The durability of a car may influence customer’s perception of that car. Participants were asked if they considered how durable a car was, when making buying decisions. Most (46%) of the respondents agreed that durability was an important factor. 32% of the respondents strongly agreed that they would consider the durability of a car when making their buying decisions.

Durability
Frequency Percent Valid Percent Cumulative Percent
Valid Agree 2 4.0 4.0 4.0
Indifferent 9 18.0 18.0 22.0
Agree 23 46.0 46.0 68.0
Strongly Agree 16 32.0 32.0 100.0
Total 50 100.0 100.0
Durability

Place of Manufacture

The location a car was produced may influence customer’s perception of that car. Participants were asked if they considered the manufacturer’s location, when making buying decisions. Most (52%) of the respondents were indifferent. However, a considerable number (34%) strongly disagreed that they would consider the location of the manufacturer, when making their buying decisions.

Place of manufacture
Frequency Percent Valid Percent Cumulative Percent
Valid Strongly Disagree 4 8.0 8.0 8.0
Disagree 17 34.0 34.0 42.0
Indifferent 26 52.0 52.0 94.0
Agree 3 6.0 6.0 100.0
Total 50 100.0 100.0
Place of Manufacture

Availability of Maintenance Facilities

The availability of a car’s maintenance facilities may influence a customer’s perception of that car. Participants were asked if they considered the availability of maintenance facilities in their location, when making buying decisions. Most (52%) of the respondents agreed that there was need for maintenance facilities in the Dubai.

Availability of maintenance facilities
Frequency Percent Valid Percent Cumulative Percent
Valid Disagree 1 2.0 2.0 2.0
Indifferent 8 16.0 16.0 18.0
Agree 26 52.0 52.0 70.0
Strongly Agree 15 30.0 30.0 100.0
Total 50 100.0 100.0
Availability of Maintenance Facilities

Second hand Value

The second value of a car may influence customer’s perception of that car. Participants were asked if they considered how a car’s second value, when making buying decisions. Most (56%) of the respondents were indifferent. However, a considerable number (32%) agreed that they would consider the second value of a car when making their buying decisions.

Second-hand value
Frequency Percent Valid Percent Cumulative Percent
Valid Strongly Disagree 1 2.0 2.0 2.0
Agree 2 4.0 4.0 6.0
Indifferent 28 56.0 56.0 62.0
Agree 16 32.0 32.0 94.0
Strongly Agree 3 6.0 6.0 100.0
Total 50 100.0 100.0
Second hand Value

Marketing

A company’s marketing strategy may influence buyers’ purchasing choices. Participants were asked if they considered a manufacturer’s marketing strategy, when making buying decisions. No participant agreed. Most (38%) of the respondents were indifferent while the rest disagreed.

Marketing
Frequency Percent Valid Percent Cumulative Percent
Valid Strongly Disagree 12 24.0 24.0 24.0
Dgree 19 38.0 38.0 62.0
Indifferent 19 38.0 38.0 100.0
Total 50 100.0 100.0
Marketing

Peer Pressure

Peer pressure may be a factor influencing buyers’ choices. Participants were asked if they were influenced by their peers, when making buying decisions. The results were distributed. This may be because peer pressure is a personal trait that people respond differently to.

Peer pressure
Frequency Percent Valid Percent Cumulative Percent
Valid Strongly Disagree 14 28.0 28.0 28.0
Disagree 19 38.0 38.0 66.0
Indifferent 13 26.0 26.0 92.0
Agree 4 8.0 8.0 100.0
Total 50 100.0 100.0
Peer Pressure

Car Strength

A car’s strength may influence customer’s perception of that car. Participants were asked if they considered how strong a car was, when making buying decisions. Most (44%) of the respondents agreed that strength was an important factor. 36% of the participants strongly agreed that they considered car strength when making buying decisions.

Strength
Frequency Percent Valid Percent Cumulative Percent
Valid Agree 1 2.0 2.0 2.0
Indifferent 9 18.0 18.0 20.0
Agree 22 44.0 44.0 64.0
Strongly Agree 18 36.0 36.0 100.0
Total 50 100.0 100.0
Strength

Correlation Analysis: Relationship between Mileage and Pricing

The secondary and primary data indicate two interesting points. The secondary data shows that second hand cars have become popular in Dubai. The primary data on the other hand shows that consumers consider pricing as a very important factor when making their purchasing decisions. While second hand car value is measurable through mileage, pricing can be measured through different price ranges. A correlation analysis was performed to identify the relationship between mileage and car price. Consumers were asked to select the ideal price range for the car types they selected in relation to the car mileage. A total of 11 price ranges and five different mileage ranges were considered. The mileage ranges were 0, 50000, 100000, 120000, 140000, 150000, and 200000. The price ranges were and their respective coded values were as follows

1 = <3000

2 = (3000 to 6000)

3 = (6001 to 9000)

4 = (9001 to 12000)

5 = (12001 to 15000)

6 = (15001 to 18000)

7 = (18001 to 21000)

8 = (21001 to 23000)

9 = (23001 to 26000)

10 = (26001 to 29000)

11 = (30000 and above)

A correlation analysis, through a scatter plot diagram, was used to identify the relationship between vehicle mileage and preferred price. The figure below is an illustration of the outcome of the scatter plot diagram.

Relationship between Mileage and Preferred Price Range

From the figure above, there is an inverse relationship between vehicle mileage and consumer preferred price. Thus, the higher the vehicle mileage, the lower a customer is willing to pay for the vehicle.

Conclusions and Limitations of research

The aim of this research was to investigate the preferences of vehicle users in Dubai’s auto market. Secondary data were used to identify the trends in Dubai’s auto industry. The secondary data indicated that vehicle users in Dubai preferred used cars to new cars. However, it was important to identify other factors that users may consider, when making their purchasing choices. A survey was conducted to identify consumer vehicular needs. The outcome of the survey indicated the pricing was the strongest factor influencing consumer choices. It became necessary to relate current trends with consumer needs. A correlation analysis, through a scatter plot diagram, comparing second hand cars with consumer preferred pricing, indicated that consumer preferred price is inversely proportional to vehicle mileage. It is recommended that the company releases second hand saloon/sedan into the market and price these cars according to cars’ respective mileages.

The limitation of this research was that the sample population considered is rather small. It is important to consider the preserve of a wider population when performing such marketing surveys.

Appendices

Appendix I: Master Copy of Questionnaire

  1. Target market:

The target market will be identified by the following demographics:

  • Gender
    • Male
    • Female
  • Age Group
    • 18-24
    • 25-29
    • 30-34
    • 35-39
    • 40-44
    • 45-49
    • 50-Above
  • Annual Remuneration
    • < $20000
    • $20,000 to $50,000
    • $51,000 to $100,000
    • $101,000 to $150,000
    • $151,000 to $200,000
    • $201,000 to $300,000
    • $301,000 to $400,000
    • >$400,000
  1. Preferred Car Type:
    • Micro-car
    • Hatchbacks
    • Saloons/Sedans
    • Estate Cars/Station Wagons
    • Sports Cars and Grand Tourers
    • Convertible
    • Off-Roaders
    • Multi-Purpose Vehicles/Minivans
    • Van, Minibus
  2. Cost Expectations: What would you consider a suitable amount for your preferred car type?
    • (Less than 3000)
    • (3000 to 6000)
    • (6001 to 9000)
    • (9001 to 12000)
    • (12001 to 15000)
    • (15001 to 18000)
    • (18001 to 21000)
    • (21001 to 23000)
    • (23001 to 26000)
    • (26001 to 29000)
    • (30000 and above)
  3. What is the primary factor affecting your decision when purchasing cars? The following factor influences my car choice.
Factor Totally Disagree Disagree Indifferent Agree Strongly Agree
Price
Fuel consumption
Size
Affordable payment options
Eco-friendly
Luxury
Techy nature
Aesthetics
Speed
Durability
Place of manufacture
Availability of maintenance facilities
Second-hand value
Marketing
Peer pressure
Strength

What should be the price range of you preferred cars if the mileage is up to 50000?

  • (Less than 3000)
  • (3000 to 6000)
  • (6001 to 9000)
  • (9001 to 12000)
  • (12001 to 15000)
  • (15001 to 18000)
  • (18001 to 21000)
  • (21001 to 23000)
  • (23001 to 26000)
  • (26001 to 29000)
  • (30000 and above)

What should be the price range of you preferred cars if the mileage is up to 100000?

  • (Less than 3000)
  • (3000 to 6000)
  • (6001 to 9000)
  • (9001 to 12000)
  • (12001 to 15000)
  • (15001 to 18000)
  • (18001 to 21000)
  • (21001 to 23000)
  • (23001 to 26000)
  • (26001 to 29000)
  • (30000 and above)

Appendix II: Frequency Tables

Descriptive Statistics
N Minimum Maximum Mean Std. Deviation
Price 50 1 5 4.02 1.059
Fuel consumption 50 2 5 4.22 .737
Size 50 1 3 2.66 .745
Affordable payment options 50 1 3 2.56 .812
Eco-friendly 50 1 4 2.06 .843
Luxury 50 1 5 3.52 1.054
Techy nature 50 1 5 3.14 1.143
Aesthetics 50 1 5 4.32 .868
Speed 50 1 5 2.56 .951
Durability 50 2 5 4.06 .818
Place of manufacture 50 1 4 2.56 .733
Availability of maintenance facilities 50 2 5 4.10 .735
Second-hand value 50 1 5 3.36 .749
Marketing 50 1 3 2.14 .783
Peer pressure 50 1 4 2.14 .926
Strength 50 2 5 4.14 .783
Valid N (listwise) 50

References

Caplin, A & Leahy, J 2010, Economic theory and the World of Practice: a celebration of the (S,s) model, Journal of Economic Perspectives, vol. 24 no.1, pp.12-24.

Gerhard, W & Gottfried, V 2002, Transactional information systems: theory, algorithms, and the practice of concurrency control and recovery, Morgan Kaufmann Press, South Melbourne.

Jafza, S 2013, Middle East automotive market projected to grow 20% yearly over next five years, Gulf News, Web.

Joshi, G 2013, Management information systems, Oxford University Press, New Delhi.

Laudon, C & Laudon, P 2009, Management information systems: managing the digital firm, Prentice Hall, New York.

O’Brien, J 1999, Management information systems–managing information technology in the internet worked enterprise, McGraw-Hill, Boston Irwin.

Sora, K Kai, L Min, K & Hee-Dong Y 2012, A multilevel analysis of the effect of group appropriation on collaborative technologies use and performance, Information Systems Research, vol. 23, no. 1, pp. 214-230, Web.

This essay on Car Preferences for Dubai Car Users was written and submitted by your fellow student. You are free to use it for research and reference purposes in order to write your own paper; however, you must cite it accordingly.
Removal Request
If you are the copyright owner of this paper and no longer wish to have your work published on IvyPanda.
Request the removal

Need a custom Essay sample written from scratch by
professional specifically for you?

801 certified writers online

Cite This paper
Select a referencing style:

Reference

IvyPanda. (2022, April 5). Car Preferences for Dubai Car Users. https://ivypanda.com/essays/car-preferences-for-dubai-car-users/

Reference

IvyPanda. (2022, April 5). Car Preferences for Dubai Car Users. Retrieved from https://ivypanda.com/essays/car-preferences-for-dubai-car-users/

Work Cited

"Car Preferences for Dubai Car Users." IvyPanda, 5 Apr. 2022, ivypanda.com/essays/car-preferences-for-dubai-car-users/.

1. IvyPanda. "Car Preferences for Dubai Car Users." April 5, 2022. https://ivypanda.com/essays/car-preferences-for-dubai-car-users/.


Bibliography


IvyPanda. "Car Preferences for Dubai Car Users." April 5, 2022. https://ivypanda.com/essays/car-preferences-for-dubai-car-users/.

References

IvyPanda. 2022. "Car Preferences for Dubai Car Users." April 5, 2022. https://ivypanda.com/essays/car-preferences-for-dubai-car-users/.

References

IvyPanda. (2022) 'Car Preferences for Dubai Car Users'. 5 April.

Powered by CiteTotal, cite machine
More related papers