IKEA Business Research Paper Essay

IKEA is a world noted furniture and home goods provider. Like all international businesses they grant challenges and dilemmas that picture how they approach different aspects of their business. By identifying issues and how to combat them by analyzing accurate info IKEA lot better handle speckles and ensure continued profitability and club success Statistical Analysis The first aim of touchstone that IKEA employ was nominal measurement. With this level of measurement, items were assigned into groups or categories.This surveyd selective information was definitive and was captured with the interrogations that obligate a yes or no answer. The next measurement level was the ordinal level of measurement. This level signified several specific reason rat the assignment and indicated an approximate ordering of the measurements. This evaluated the captured selective information using median(prenominal) and mode, with questions that sport the answer choice for spokesperson cheery and unsatisfied. This allowed IKEA to sterilize how often customers were satisfied or unsatisfied with their goods and services.The third level deals with the interval which classified on with ordered the measurements this level specified the distances surrounded by each interval on the scale were equal along the scale from low interval to gamey interval. The final level was the ratio level of measurement, this level the measurements support lose a value of zero and the divisions between the points on the scale run through an equivalent distance between them, and the rankings assigned to the items are according to their sizing (Marchal, William & Whaten 2009).To evaluate the info, each answer will be given a ranking excellent (100% satisfaction), average (50% satisfaction), and terrible (0% satisfaction). This was used to measure the level of consumer satisfaction. Challenges to Validity and Reliability Validity and reliability are the cardinal life-sustaining fact ors to be ingested during a sample design and data collection. Survey is a very expensive approach. Therefore it is very important to do it in good order in the first era.Carefully evaluating the potential challenges to rigor and reliability of mess question, data and analysis is crucial. Cooper, D & Schindler, P (2006) indicated that there were four study faults of the survey instrument design are 1) the respondent error 2) the situation error 3) the measurer and 4) the data collection instrument (Cooper, D. R. , & Schindler, P. S. 2006. ) At least dickens potential challenges for the survey should be considered. Different ethic group rank could relieve oneself different answer to a same question.For example, the customers in some(a) countries may be reluctant to select extremely satisfied or extremely satisfied in the survey questionnaire to express their satisfaction level. This could score the external validity issues when collecting the data. A defective instrument can cause distortion in a way of too puzzling and enigmatic. When the researchers design the questionnaire, they should consider the participants education level and comprehension capability. Leading questions, ambiguous meanings, mechanical defects are also mistakes that could cause instrument errors.For example, in the questionnaire maven question is What are the master(prenominal) reasons you chose IKEA for your shopping needs? This is an open question to the customers, the outcome of the answers may not be able to quantify for data analysis. It will be better to list the possible reasons to let the customers to choose. The researchers have to carefully determine the instrument scales Steps to Minimize Challenges Our reasoning for the minimization of these potential challenges is to save the order time and money.Having a the right way sketch and well prepared survey will lead to validity and reliability. two validity and reliability are again the two critical factors to con sider in the sample design and data collection processes. As state in our previous section, we have chosen to utilize the following two challenges ethnical differences and evaluation of the potential challenges to validity and reliability of survey question, data and analysis. Consideration for both challenges can be addressed and identified at a lower place the four major faults of the survey instrument design.In order to properly prepare the survey and minimize challenges, IKEA must act as the ending user. What essentially will happen is that IKEA will see how the final takings questions can be effected by multiple factors. These factors can accommodate the following but are not limited to age, race, background, and educational background. When looking at into these factors they will armed service to identify potential initial faults of the survey. Finally, the questions should be compared and analyse to avoid more simplistic issues.The following simplistic issues that cou ld occur and IKEA should be prepared for are the following leading questions, ambiguous meanings, mechanical defects, and comprehension. When concealment all of the bases listed in the above paragraphs only then can IKEAs final questionnaire/survey be complete. There is no way to authorise the margin for error in any test such as a questionnaire. However when properly addressed the potential for challenges effecting data validity and reliability can be minimized. Classification of FindingsCurrently, IKEAs main pore is on profit sustainability and determining if true brand loyalty or short term effects of the worlds recession have affected buying behaviors which has lead to an increase in profits. IKEA can consort the order of power using the fundamental categories nominal, ordinal, interval and ratio. The nominal measurement scales categorize or put items in groups. The data that can be collected from a nominal scale will be definitive. For example IKEA will be able to determine regular customers from first time buyers and will be better able to analyze the data accordingly.The data reported that 8 out of 10 IKEA shoppers were reversive customers. This data suggests that the delivery did not have an effect on determining on where consumers were deciding to shop. With the ordinal level of measurement, it will evaluate the captured data using median and mode, with questions that have an answer choice. The data retrieved showed that for every 10 customers 9 were satisfied, which suggested that customers were returning customers because of true satisfaction and company loyalty.The interval along with ratio determines the distances between each interval on the scale are equivalent along the scale from low interval to high interval (Marchal, William & Whaten 2009). This will help to determine trend. This will happen from data being retrieved from questions like what was your main reason for shopping at IKEA? If you could change something about your shopping g et it on what would it be? The ratio level is where the points on the scale have an equivalent distance between them, and the rankings assigned to the items are according to their size (Marchal, William & Whaten 2009).To evaluate the data each answer will be given a ranking excellent (100% satisfaction), good (75% satisfaction), average (50% satisfaction), poor (25% satisfaction) and terrible (0% satisfaction). From the data collected it shows that there was 100% satisfaction 90% of the time. From this data we can conclude that customers are generally satisfied. By collecting data in an accurate and reasonably cost effective manner IKEA can determine their business success and shortcomings. This allows management to make educated decisions to continue company profitability and success.