Assignment Essay Example

Assignment Essay Example Assignment Essay Assignment Essay Introduction: Electronic commerce or e-business can be defined as the process of buying, selling, serving consumers, collaboration between business partners, transferring information and conducting electronic transaction within organisation via computer network. E-business transactions can be carried out between various parties. The common types of e-commerce tractions are as follows: * Collaborate commerce * Business-to-consumers (B2C) * Consumers to business (C2B) * Consumer-to-consumer (C2C) * Intra business commerce * Government to citizens (G2C) Government Business Person or consumer Supplier Business Partner Questions You are required to choose a (B2B, B2C, C2B or C2C) business and based on the history of the business in the last ten years answer the following four questions Q. No. 1 Applying at least five analytical tools in strategic management formulate a suitable E-business strategy for the company. Your proposed strategy should be based on your analysis, and supported by evaluation of your proposed approach, indicating its suitability for the organisation, and also its relation to the company’s business strategy Ans: I want to choose a Business to Customer Business topic for my assignment Business to customer (B2C) business: 1. Introduction: It is also known as e-tailing. In this type of e- business, the sellers are organisations and the Byers are individuals. It deals about various activities of business about products and services to consumers. It applies that selling of products or services to consumers by any organisation or business over their own use internet. E. g Dell, Amazon etc. Q. NO. 3 In relation to the company, evaluate the Critical Success Factors (CSFs) for E-business success in current economic downturn. ANS: To occupy high rank position in online shopping market it is very important for retailers to work hard and to analyze critical success favtors. Such factors are considered as critical because failure to excel any of them may cause considerable damage to the company. These factors include: * Develop customer’s trust: As the retailers take the responsibility of many business processes so it is very important to have customers trust over their retailers. * Developing personal websites for customers: It is very important to tailored individual customer. As for example: when you open the site of Amazon. om then it first greets personally to each individuals and offering a choice of products based upon personal preferences. * Providing a variety of a product: Customer wants varieties of each product. Therefore, online retailers must exceed to offer varieties of product to develop loyalty to the business. * Reliability and quality of the products: It is very important to provide reliable products with excellent quality too attract customers. * Competitive prices: The internet makes pricing visible to every customers so that customers can easily compares between the prices of same product from different retailers. Suitability of available information: Available information should be used in effective ways and try to make it commercially attractive. * Creating suitable payment procedure: Retailers should give more emphasis in payment method and make it easy and error free. There are also many success factors for the development and sustainability of e-business such as: * Technology infrastructure: It includes suitability of the software with other specific software systems. It should be reliable and able to perform with large numbers of members. * Income Stream: There have been various business models to explain how e-marketplace makes profit which are related to services in various markets, commission on trades etc. * Transition administration system: Software of e-business is responsible to carryout payments and contracts appropriately and helps to manage membership services. * Participants: It is generally assumed that, it is better to motivate existing suppliers and customers rather than to involve new participants. Moreover, the existence of any e-business is entirely depends upon its number of members. So that it is considered as major issues. * Fulfilment of participant needs: The success or failure of any e-business can be analysed whether or not they become able to satisfy their participants. An e-business that become able to satisfy their participants are considered as successful e-business. * Relationship management: It is very important factor to develop and maintain trust between the participants of the market place. * Security: It is very important to maintain a security in relation to financial transactions and in the confidential information.

Types of Sampling Designs Used in Sociology

Types of Sampling Designs Used in Sociology Since its rarely possible to study an entire population of focus, researchers use samples when they seek to collect data and answer research questions. A sample is simply a subset of the population being studied; it represents the larger population and is used to draw inferences about that population. Sociologists typically use two sampling techniques: those based on probability and those that are not. They can generate different kinds of samples using both techniques. Non-Probability Sampling Techniques The non-probability model is a technique in which samples are gathered in a way that does not give all individuals in a population equal chances of being selected. While choosing a non-probability method could result in biased data or a limited ability to make general inferences based on the findings, there are also many situations in which choosing this kind of sampling technique is the best choice for the particular research question or the stage of research. Four kinds of samples may be created with the non-probability model. Reliance on Available Subjects Relying on available subjects is a risky model that requires a great deal of caution on the part of the researcher. Since it entails sampling passersby or individuals with whom researchers randomly come into contact, it is sometimes referred to as a convenience sample because it does not allow the researcher to have any control over the representativeness of the sample. While this sampling method has drawbacks, it is useful if the researcher wants to study the characteristics of people passing by on a street corner at a certain point in time, especially if conducting such research would not be possible otherwise. For this reason, convenience samples are commonly used in the early or pilot stages of research, before a larger research project is launched. Though this method can be useful, the researcher will not be able to use the results from a convenience sample to generalize about a wider population. Purposive or Judgmental Sample A purposive or judgmental sample is one that is selected based on the knowledge of a population and the purpose of the study. For example, when sociologists at the University of San Francisco wanted to study the long-term emotional and psychological effects of choosing to terminate a pregnancy, they created a sample that exclusively included women whod gotten abortions. In this case, the researchers used a purposive sample because those being interviewed fit a specific purpose or description that was necessary to conduct the research. Snowball Sample A snowball sample is appropriate to use in research when the members of a population are difficult to locate, such as homeless individuals, migrant workers, or undocumented immigrants. A snowball sample is one in which the researcher collects data on the few members of the target population he or she can locate and then asks those individuals to provide the information needed to locate other members of that population. For example, if a researcher wanted to interview undocumented immigrants from Mexico, she might interview a few undocumented individuals that she knows or can locate. Afterward, she would rely on those subjects to help locate more undocumented individuals. This process continues until the researcher has all the interviews she needs, or until all contacts have been exhausted. This technique is useful when studying a sensitive topic that people might not openly talk about, or if talking about the issues under investigation could jeopardize their safety. A recommendation from a friend or acquaintance that the researcher can be trusted works to grow the sample size.   Quota Sample A quota sample is one in which units are selected into a sample on the basis of pre-specified characteristics so that the total sample has the same distribution of characteristics assumed to exist in the population being studied. For example, researchers conducting a national quota sample might need to know which proportion of the population is male and which proportion is female. They might also need to know the percentage of men and women who fall under different age, race, or class brackets, among others. The researcher would then collect a sample that reflected those proportions. Probability Sampling Techniques The probability model is a technique wherein samples are gathered in a way that gives all the individuals in the population an equal chance of being selected. Many consider this to be the more methodologically rigorous approach to sampling because it eliminates social biases that could shape the research sample. Ultimately, though, the sampling technique you choose should be the one that best allows you to respond to your particular research question. There are four kinds of probability sampling techniques. Simple Random Sample The simple random sample is the basic sampling method assumed in statistical methods and computations. To collect a simple random sample, each unit of the target population is assigned a number. A set of random numbers  is then generated and the units of those numbers are included in the sample. A researcher studying a population of 1,000 might wish to choose a random sample of 50 people. First, each person is numbered 1 through 1,000. Then, you generate a list of 50 random numbers, typically with a computer program, and the individuals assigned those numbers are the ones included in the sample. When studying people, this technique is best used with a homogenous population, or one that does not differ much by age, race, education level, or class. This is because when dealing with a more heterogeneous population, a researcher runs the risk of creating a biased sample if demographic differences are not taken into account. Systematic Sample In a systematic sample, the elements of the population are put into a list and then every nth element in the list is chosen systematically for inclusion in the sample. For example, if the population of study contained 2,000 students at a high school and the researcher wanted a sample of 100 students, the students would be put into list form and then every 20th student would be selected for inclusion in the sample. To ensure against any possible human bias in this method, the researcher should select the first individual at random. This is technically called a systematic sample with a random start. Stratified Sample A stratified sample is a sampling technique in which the researcher divides the entire target population into different subgroups  or strata, and then randomly selects the final subjects proportionally from the different strata. This type of sampling is used when the researcher wants to highlight specific subgroups within the population. For example, to obtain a stratified sample of university students, the researcher would first organize the population by college class and then select appropriate numbers of freshmen, sophomores, juniors, and seniors. This would ensure that the researcher has adequate amounts of subjects from each class in the final sample. Cluster Sample Cluster sampling may be used when it is either impossible or impractical to compile an exhaustive list of the elements that make up the target population. Usually, however, the population elements are already grouped into subpopulations and lists of those subpopulations already exist or can be created. Perhaps a studys target population is church members in the United States. There is no list of all church members in the country. The researcher could, however, create a list of churches in the United States, choose a sample of churches, and then obtain lists of members from those churches. Updated  by Nicki Lisa Cole, Ph.D.