According to Crawford (2013), data is not objective by nature as they are defined and interpreted in accordance with human logic and interferences, so there are hidden biases in both the collection and analysis stage, presenting considerable risks in researching. This weakness leads to the fact that data mining in big data analysis cannot be replaced by hypothesis-driven research. Another disadvantage is that the larger the data set, the more likely spurious correlations which are not useful will be identified, making big data analysis more time-consuming and much less cost-saving than originally planned. Big data analysis also presents challenges on how to protect the individual’s
These limitations can be because the person who is taking the survey is not being truthful with their answers. The survey may not be asking the right question in order to get the right answers. A lot of the time surveys are subjective and leaves a lot of room for assumptions. Quizzes are always going to ask questions that are driven to a specific answer. What they lack is a personal touch.
Upon the detailed analysis, it has been very much clear that organisation is full of weaknesses and threats which can be very difficult to address early. One of the major weaknesses of the organisation is the absence of training and development programs which has been felt since recruitment of some inexperienced people by human resource department. This is a threat to competitiveness of organisation because it would take time to get the new people trained and work in an effective way for organisation. The operations of the organisation are full of flaws and loopholes that are playing the key role in loosing market shares and it is also a threat that organisation would lose its rank further with the continuity of such operations. The system of the organisation is also obsolete which is also a matter of focus for the organisation because it is neither user friendly nor it is up-to-date.
The non-probability sampling method seemed the most appropriate as students were invited to participate in the research by completing a survey questionnaire anonymously. They were asked to voluntarily complete the questionnaire. The questionnaires were an advantageous aspect of collecting data, because they allowed me to cover more questions than the interviews in a shorter period of time. I did not have to be present when respondents filled the questionnaires, as some took them home and returned them to me at a later stage. My questionnaire was simple and straight to the point.
This does not mean that the former type is less successful, it does depend on the context and needs of the product and its interface. Even before creating a prototype, we need a flowchart for how we will create the prototype itself. These are some of the different ways of creating them: paper, static images, interactive on a device, video, and iPhone SDK, which is an app that lets developers create rough drafts of their app. There are pros and cons to each. For instance, paper prototypes are relatively cheap and can be changed with little cost or consequence.
But low responsive rate can be a problem and create troubles in finding the exact information from the questionnaire. This happens to the questionnaires with large number of questions or poor formation of the questions. This limitation is not going to affect the current research
First, there usually is no way to check whether that person actually bought and used the product, which makes it unreliable. Second, there have been quite a few scandals in which companies were shown paying people to write favourable testimonials for them. This could lead to biased and over-positive reviews. Last but not least is the fact that testimonials are never representative of the consumer base - some people might rave about quality, where others will bash the price. The main problem is: consumers will always differ and can be easily influenced, therefore presenting their opinions and testimonials in advertisements is unreliable and
Quality is expensive: Total quality management strategy is an expensive system and so each additional service would cost the company. Such costs include additional training costs, improvement costs and investments in machine inspections. We can conclude that total quality management strategy is not suitable for small management since the strategy will cost the company a
However the company is not able to fully exploit this potential and performance objectives are often unmet. • The major reason for failure to fully exploit the market potential is the top down approach in formulation of strategy. As a result of the foregoing there is no buy in from subordinates who are the drivers of the strategy • The mission is clear and spells out what the business stands for and intends to achieve. However the vision in too long and has some elements of a mission which makes it very confusing. Because of its length it is not easy to absorb and internalise.