Global Warming And Its Effects - 946 Words

The advancement of human civilization time stamped with industrial revolution influenced higher standards of living with urbanization, the development of factories, metallurgy, mining, transportation, and mass production. The developments where driven by coal, which became a continuous and powerful resource of energy. As energy, mass production and technology progressed the human species had distinctly in rapid time left a unique foot print in Earth’s history. This unique foot print marked by pollutants, caused a rapidly changing environment. Within decades sea levels started to rise and a change in rainfall became apparent, areas with drought started to receive less precipitation, thus high temperatures started to cause a reduction in global harvest. Thus, scientist discovered global warming was influenced by the human production of greenhouse gas that could potentially cause irreversible climate change, which could continue for 1000 years. Although, these facts are daunting, optimistic approaches for combating global warming are obtainable. Global recognition of climate change has influenced a cap on carbon emissions and stimulated the use of renewable energy, but this may not be enough considering the time greenhouse gas lingers in the stratosphere. Therefore, geoengineering may be a new approach for resurrecting our climate, in an attempt to counteract the effects of global warming. For this to be an evident and positive approach three factors should be taken intoShow MoreRelatedGlobal Warming And Its Effects985 Words   |  4 PagesEnvironmental Science Professor Mahoney 11/11/14 Global Warming Over the last few decades global warming has become one of the biggest environmental issues of all times. Every year, global warming gets worse and it’s affecting the way people live, it is affecting the atmosphere in general, and other living organisms in our planet. Global warming is the gradual and increasing rise of the overall temperature of the Earth caused by the greenhouse effect due to the increased levels of carbon dioxide andRead MoreGlobal Warming And Its Effects Essay1040 Words   |  5 PagesGlobal warming is directly causing the rise in temperature of the Earth. The melting of the polar ice caps causes some of the most pressing issues including the endangerment of species indigenous to this region and the rise of ocean levels. Global Warming Global warming is the steady rise of temperature of the Earth’s surface. What exactly causes global warming? Numerous sources fuel global warming, such as deforestation, permafrost, and even sunspots. Obviously, many factors contribute to thisRead MoreGlobal Warming And Its Effects1331 Words   |  6 PagesGlobal Warming Global warming is the causation of the Glaciers melting, sea levels rising, cloud forests drying, and wildlife struggles today. Humans are making this possible because of their release of heat-trapping gasses known as greenhouse gasses by their modern devices. Global warming is the abnormal speedy increase in the Earth’s average surface temperature. It is believed that this is due to the greenhouse gasses that people release into the atmosphere by burning fossil fuels.The greenhouseRead MoreGlobal Warming And Its Effects976 Words   |  4 PagesAs global warming, we understand that is the rise in the average temperature of Earth’s atmosphere and oceans. It has been an immense concerning all over the world for the past decades since the current cycle of global warming is changing the rhythms of climate that humans, animals and plants rely on. Scientists have studied the natural cycles and events that are known to influence the change in climate to discover what i s originating the current global warming. However, the amount and pattern ofRead MoreGlobal Warming And Its Effects1571 Words   |  7 PagesAs global issues today become increasingly controversial, many people are inclined to believe that Global Warming is an issue that can take a backseat to more significant issues that plague today’s society. The information presented throughout my research in regards to the rising sea levels and the melting of glaciers and ice shelves, highly indicates that it cannot. What many Americans fail to realize is that if sea levels continue to rise due to Global Warming, then more than half of LouisianaRead MoreGlobal Warming And Its Effects1544 Words   |  7 PagesGlobal warming is one of the vigorously discussed topic on Earth today. According to a TechMedia Network, â€Å"Global warming is the term used to describe a gradual increase in the average temperature of the Earth’s atmosphere and its oceans, a change that is believed to b e permanently changing the Earth’s climate.† (â€Å"Global Warming †¦ Effects†). We have been witnessing the change in Earth’s climate since past few years, and we are well aware of the consequences of climate change as well. Global warmingRead MoreGlobal Warming And Its Effects1432 Words   |  6 Pageshas an effect on climate change and contributes to global warming. Yet people tend to turn a blind eye to global warming and label it as a myth, whether they do not believe in it or it is not in their best financial interest to believe in it. Let us take a closer look at global warming and the effects it has on our people, homes and environments. Global Warming has become a rising problem in our world’s climate. It’s time we show the initiative to understand the concept of global warming and showRead MoreGlobal Warming And Its Effects928 Words   |  4 PagesGlobal-Warming Mother Earth is burning as we speak; humanity has killed our precious Earth. Global-warming is a vicious killer that was created by the humans on this Earth, and there s no way to cure it. We, as humans, have the power to cleanse the Earth, but instead we destroy it. Heat is absorbed by carbon dioxide and greenhouse gases. A greenhouse gas absorb thermal radiation emitted by the Earth s surface. As the sun s energy reaches the Earth’s surface some of it goes back out into spaceRead MoreGlobal Warming And Its Effects1416 Words   |  6 Pages Global Warming The earth is getting warmer, animals and their habitats are declining, human health is at risk and the cause of all this terror is Global Warming. Global warming will cause many parts of the world to change. In the next 50 years climate change could be the cause of more than a million terrestrial species becoming extinct. Sea levels will raise which means more flooding and is not good for the plants. With too much water the plants will die and herbivores will lose theirRead MoreGlobal Warming And Its Effects1312 Words   |  6 PagesGlobal warming is presenting a lot of environmental and health problems to many countries. A lot of heat gets trapped on earth due to formation of a non-porous layer gases below the atmosphere. The worst effect is felt by developing countries, which are also geographically disadvantaged. The establishment of such countries is on low altitude areas. This position makes developing countries to be direct victims of floods from the melting snow at high altit ude areas. A lot of scientific research associates

Article Critique Enterprise Risk Management - 960 Words

Article Critique: â€Å"Enterprise Risk Management in SMEs: Towards a Structural Model† Enterprise Risk Management (ERM), which addresses strategic, operations, reporting and compliance objectives, is a process designed to identify potential events that may affect the entity, and manage risk to be within the risk an organization is willing to take in order to achieve its strategic objectives (Gelinas, Dull, Wheeler, 2015). â€Å"Enterprise Risk Management in SMEs: Towards a Structural Model† by Brustbauer (2016), analyses ERM in small and medium-sized enterprises (SMESs) by developing a structural model based on a postal survey questionnaire. Ultimately, the article evaluates ERM in terms of approach which affects the strategic orientation, preconditions for ERM implementation, the effect of ERM on business success, and a structural model of ERM in SMEs. Summary Risk The article provides the definition of risk as the probable uncertainty of outcomes stemming from a choice, and a reflecting variation in the distribution of potential outcomes probabilities and subjective values (March Shapira, 1987). Enterprise Risk Management (ERM) ERM evaluates risk from an all risks-encompassing perspective, which identifies, assesses and monitors all threats and opportunities facing a firm. Thus, promoting increased risk management awareness to support the firm-wide approach, and translate the approach into operational and strategic management decisions (Brustbauer, 2016). ERM is aboutShow MoreRelatedArticle Summary And Critique Of Intranets Can Mitigate Business Risks By James Robertson1072 Words   |  5 Pages Article Summary and Critique Charisa Garbo California Intercontinental University Introduction Information system management and practices have been a key driver to the success of many businesses in the 21st century (McNurlin, Sprague, Bui, 2004). Companies are aware of this fact, and the management of such enterprises have been in the forefront in embracing improved information system management and practices (Sousa Oz, 2015). The following paper discusses an article titled â€Å"IntranetsRead MoreCritical Success Factors For Enterprise Resource Planning Implementation Success1740 Words   |  7 Pagespaper is a critical review of the article ‘Critical Success Factors for Enterprise Resource Planning Implementation Success’ which was published in the ‘International Journal of Advances in Engineering Technology’. 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It is no doubt that there are still many debates towards strategy concept. In this essay, the article â€Å"crafting strategy† will be reviewed. This is analysed by putting the article in to a widerRead MoreCritique Paper on Completing the Audit and Post-Audit Reponsibilities2301 Words   |  10 Pages2013 Antonio, Mark Earl Angelo P. ACT162 – B74 3/3/2013 2013 Antonio, Mark Earl Angelo P. ACT162 – B74 3/3/2013 Critique Paper #03: Completing the Audit and Post-Audit Responsibilities Critique Paper #03: Completing the Audit and Post-Audit Responsibilities Summary The first article of Moez Bennouri, entitled â€Å"Does Auditors’ Reputation ‘Discourage’ Related Party Transactions? The French Case† studies the relationship between the frequency of RPTs and the external auditors’ reputationRead MoreBlackberry : An Tool For Growing Businesses1844 Words   |  8 Pagesanalyzed in this paper. Following the critique, a recommendation will be made at the end. P.E.S.T.L.E. 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The Gender Equity in Schools Free Essays

Gender Equality Report on Education This report is designed to inform on Gender Equity in Schools and educational fact; it was produced to raise awareness to those who seek knowledge in this area. StudentsSchools are working to become more gender equitable. Surveys show girls are loosing out to boys in areas such as who takes advancement classes, who graduates college and even the salary of a post college job. We will write a custom essay sample on The Gender Equity in Schools or any similar topic only for you Order Now Amazing as it is girls only make 14% of those who take advance classes, where as 26% of boys make advance classes (these values are slowly equaling). Also the vast majority of chemistry, physics, science and computer majors are male. This may be related to the fact that 75% of science and math teachers are male. Finally post college jobs on average offer 25% more salary to male employees. On higher level, there should be more equality to give girls a chance to earn positions higher than a traditional blue-collar job. Elementary Level Education Starting at a early age girls begin to be dominated in educational and most recreational areas; for example boys on average raise their hands to answer questions asked by the teacher eight times more often than girls do. And it is very common for males to receive more praises or constructive criticism on their responses to the question that the teacher asks, where as girls get the more superficial â€Å"ok† reaction (but that is not always the case). In a typical schoolyard the area that boys play in is ten times larger than the area witch girls play in. Self-esteem Self-esteem is an important part of the success of all levels of education. Research states that an average girls are more likely to doubt their selves and are quicker to let go of their goals and to except failure. Even though girls are more likely to doubt their selves and are quicker to except failure doesn†t mean that boys don†t doubt their selves and don†t except failure quickly, it means that the majority of girls do. The number of teenager children who aspire to glamorous occupations such as rock stars, movie actors, and sport stars are overwhelmingly male. This â€Å"Glamour Gap† severely lowers the self-esteem of females to the point where their academic achievements drop and further increasing the â€Å"Glamour Gap†. Generally girls hopes are lower for their future careers than boys hopes for their future careers. The â€Å"Gender Gap† There are three new schools in Detroit, and two have only boy students. The Educational Council surveyed the schools and found only one girl at the age of five in one of the new schools. Teachers feel that this is a good opportunity for the children because there will be no fighting between girls and boys such as boys sexually harassing girls and boys teasing girls and viceversa. There also will be much less of a â€Å"Gender Gap†. The â€Å"Gender Gap† is boys receiving a higher level of education than girls because of dependent variables such as boys raising their hands more often than girls do, boys use ten times more area to play on than girls use to play on etc†¦ Math and Science Math and science teachers have the most dramatic and most easily measured effects on adolescent students. There is a serious relationship between math class, science class, and teenage self-esteem. When teenage students do well in math class and science class their self-esteem raises but a small decrease in these academic achievements can severely wound their pride and self-respect, therefore lowering their self-esteem drastically. Conclusion In conclusion, we would say there needs to be a major increase in gender equity not only in schools but also in the work place, sports, and all other recreational and non-recreational actives. If we don†t stop this at an early age then children won†t learn any thing they will continue their stereotyping and harassing behavior on life, after school, extracurricular actives, college, and work; and why will they carry it on in life? Because they were never taught right from wrong. Classes like Challenges is a very good way to get children from a young age to change their behavior (if it is an expectable), and it is a good way to incorporate fun and learning about every day topics like sexual harassment, conflict resolution and many other topics together. How to cite The Gender Equity in Schools, Papers

The Gender Equity in Schools Free Essays

Gender Equality Report on Education This report is designed to inform on Gender Equity in Schools and educational fact; it was produced to raise awareness to those who seek knowledge in this area. StudentsSchools are working to become more gender equitable. Surveys show girls are loosing out to boys in areas such as who takes advancement classes, who graduates college and even the salary of a post college job. We will write a custom essay sample on The Gender Equity in Schools or any similar topic only for you Order Now Amazing as it is girls only make 14% of those who take advance classes, where as 26% of boys make advance classes (these values are slowly equaling). Also the vast majority of chemistry, physics, science and computer majors are male. This may be related to the fact that 75% of science and math teachers are male. Finally post college jobs on average offer 25% more salary to male employees. On higher level, there should be more equality to give girls a chance to earn positions higher than a traditional blue-collar job. Elementary Level Education Starting at a early age girls begin to be dominated in educational and most recreational areas; for example boys on average raise their hands to answer questions asked by the teacher eight times more often than girls do. And it is very common for males to receive more praises or constructive criticism on their responses to the question that the teacher asks, where as girls get the more superficial â€Å"ok† reaction (but that is not always the case). In a typical schoolyard the area that boys play in is ten times larger than the area witch girls play in. Self-esteem Self-esteem is an important part of the success of all levels of education. Research states that an average girls are more likely to doubt their selves and are quicker to let go of their goals and to except failure. Even though girls are more likely to doubt their selves and are quicker to except failure doesn†t mean that boys don†t doubt their selves and don†t except failure quickly, it means that the majority of girls do. The number of teenager children who aspire to glamorous occupations such as rock stars, movie actors, and sport stars are overwhelmingly male. This â€Å"Glamour Gap† severely lowers the self-esteem of females to the point where their academic achievements drop and further increasing the â€Å"Glamour Gap†. Generally girls hopes are lower for their future careers than boys hopes for their future careers. The â€Å"Gender Gap† There are three new schools in Detroit, and two have only boy students. The Educational Council surveyed the schools and found only one girl at the age of five in one of the new schools. Teachers feel that this is a good opportunity for the children because there will be no fighting between girls and boys such as boys sexually harassing girls and boys teasing girls and viceversa. There also will be much less of a â€Å"Gender Gap†. The â€Å"Gender Gap† is boys receiving a higher level of education than girls because of dependent variables such as boys raising their hands more often than girls do, boys use ten times more area to play on than girls use to play on etc†¦ Math and Science Math and science teachers have the most dramatic and most easily measured effects on adolescent students. There is a serious relationship between math class, science class, and teenage self-esteem. When teenage students do well in math class and science class their self-esteem raises but a small decrease in these academic achievements can severely wound their pride and self-respect, therefore lowering their self-esteem drastically. Conclusion In conclusion, we would say there needs to be a major increase in gender equity not only in schools but also in the work place, sports, and all other recreational and non-recreational actives. If we don†t stop this at an early age then children won†t learn any thing they will continue their stereotyping and harassing behavior on life, after school, extracurricular actives, college, and work; and why will they carry it on in life? Because they were never taught right from wrong. Classes like Challenges is a very good way to get children from a young age to change their behavior (if it is an expectable), and it is a good way to incorporate fun and learning about every day topics like sexual harassment, conflict resolution and many other topics together. How to cite The Gender Equity in Schools, Papers

Sales and Marketing Customer Loyalty

Question: Discuss about the Sales and Marketingfor Customer Loyalty. Answer: Aim of the Project Customer loyalty and purchase trends can be analysed in a systematic way. Goods purchased at different periods by the same customers can be grouped into sequences. Methods of sequential pattern mining can then be used to investigate changes in customer consumption or loyalty, and suggest adjustments on the pricing and variety of goods in order to help retain customers and attract new ones (Bassi, 2009). By the end of the project, we shall be trying to answer the key questions that arise from this project. The key questions are: What does a Loyalty Card do for any type of retailer that cannot be observed from the level of details in the invoice and baskets? How can the success of these loyalty programs be measured? What data is to be mined for in the loyalty programs? What are the various data mining techniques? How to identify the loyal customers and support them from the loyalty program data? Project Background It is to be noted that any normal customer has to go through 5 different stages throughout their Lifecycle. These stages are being depicted in the figure 1 herein. Figure: 1 In each step, data analytics can be made use of as a tool to make the right decisions for the following: Right Customer / Prospect: based on the estimates from the Lifetime Profitability. Right Message: based on the resonance and connection with the targeted customer group. Right Channel: based on the estimates of ROI and the response rates. Right Promo / Offer: based on the estimates of ROI and the response rates. The entire process is often described to be a marketing process driven by the customers. At the core of the process lies the usage of the data that is available about the customers transactions along with the demographics and various other characteristics for segment targeting and personalising the marketing efforts of the organisation (Butler, 2005). Data Analytics and Methodology Customer Loyalty Systems The data, which is primarily to be used in the project, for understanding the marketing system oriented around the customer is generally taken from the Loyalty Management System of a retailer. Maximum of the retailers in the modern business world has adopted the above mentioned system (Czarniewski, 2014). This type of system is generally used for accumulation of reward points and its redemption. It is to be noted that Shoppers was the first organisation to step foot in this system with their initiative known as First Citizen and following the same, most of the major departmental stores have initiated similar loyalty program systems. The primary intention of the different loyalty programs were to be considered as additional incentive for the customers for increasing the level of purchases. With the passage of time, the different organisations started to accumulate data on the pattern of purchasing at the various levels of customers. Soon, the organisations learned the potential that the data had and the new business fronts that would open up based on these data (Dixon, 2010). The purchase pattern, which was primary gathering from the available data, shall be revealing the general preference for any customer, which is much more efficient than any data collected through different surveys, since: Customers can be hiding their true motive and preference in a survey. A survey is generally conducted over a very small scale population of the entire customer base. The cost of collating and fielding the results from the different surveys is very high. The different surveys have to be designed before their execution, thus the retailer needs to make some assumptions, which they are trying to validate or invalidate using the data from the survey. However, it is to be noted that the data from transaction does not have the similar disadvantages as stated above for data collected from surveys (Finlay, 2014). Moreover, the system that is being used for collection of data is already in operation and does not acquire additional high cost for leveraging it for the process of data analysis. Retailers will have the ability to understand preferences of the customers based on the demographic differences. It would be easier for any retailer to stock up on an item that would sell the most based on past purchasing behaviour of the customer base (Guenzi and Troilo, 2006). The ability of a retailer to cross sell and up sell at any POS turns out to be much more effective. The ability for targeting specific customer base with an approach that is focused on the customer instead of the concept of one size is fit for all. Business Brief The Client for the project is considered to be one of the leading lifestyle and apparel goods retailers, which is a subpart of larger conglomerate. The said business has been operating in the region for over 5 years and the previously mentioned client has over 30 stores all over the nation. It is to be noted that the Client for the project had initiated a program pertaining to Customer Loyalty in the mid period of the 2000s. During the period of time for the consideration of collection of data, the retailer had around 350,000 customers in its loyalty program (Inghilleri and Solomon, 2010). For the purpose of the project, two primary streams pertaining to direct marketing were used directing the same exclusively towards the members of the loyalty program. A half-yearly mailing of the brochure of the retailer, with emphasis being laid on the seasonal apparels. Different marketing campaigns focused on a single product, which is carried out by the usage of different campaign channels all through the year. Previously, the concept that one marketing scheme would be applicable for all was being utilised by the client. It was soon understood that this was not an ideal approach to the business. Thus the retailer sought to use the knowledge of data mining for customising their business plans and communication methods to efficiently transform their business and make the marketing process optimal in nature. Customer Segmentation The term segmentation is referring to the practices that help in identification of the homogenous groups that can be different from each other, yet same form the internal structure aspect. In terms of statistics, it I often referred to as groups having the least amount of distance within the group, while at the same time the same having the maximum distance between each other across the group once the identification of the different customer segments have been completed, then we have the task of marketing the best offers or the various promos based on the niche group from the segmented data La and Yi, 2015). Multiple analytical techniques have been used for the segmentation of the customer data, the most widely used technique being the Cluster analysis (Solomon, 2012). This method helps in identifying the segments that are naturally occurring within the entire data set or the customer base. It also helps in the identification of the major variables that are helping to drive the various segments. Moreover, there are advanced methods such as the Decision trees or Latent Class Analysis, etc for various situations where the algorithm for Cluster Analysis does not provide us with the intended results (Lawfer, 2004). Segmentation Basis The given can be based on a number of topics such as demography, latitudinal and even value based (Demographic information, 2000). The perfect basis for the different segmentation would be dependent on the ultimate objective of the business. The table below is an illustration of the segmentation scheme being dictated by the objectives of the business. Data The primary data source for the project is considered to be collected from the customer loyalty program, which is active within the clients business (Martirano, 2016). The system provided us with three primary streams of data. Customer Personal Details Loyalty Program Tenures Demographics Occupation, age, Marital Status, Gender, etc. Customer Transaction Details Basket Level Price of the different items that are brought together Level of Items in the basket The discount amount of the different items that have been purchased. Mode of payment preferred by the customer. Item Master Details Item Description and the Codes Hierarchy of the item across several levels. Store Master Details The size of the store, the period of operation of the store, intensity of competition and the area of catchment. Data Preparation The three major activities that shall be carried out within this section before the creation of the proper model for analysis are: Transformation of the raw data to the level of the customer by the aggregation of the primary key variables. Derivation of necessary variables dependent on the requirement of the scheme of segmentation from the basic primary variables (Merceron, Blikstein and Siemens, 2015). The total customer population is to be split into two sections. One for creation of the model and the other as a holdout sample for validation of the results from the created models. It is to be noted that at the level of the customer, the segmentation procedure would be applicable on the primary transactional variables such as the ones mentioned in the list herein below: Frequency, Recency and Monetary Variables. of visits by the customer to the retailer per year. of items that has been purchased upon every visit. Amount that has been spent on each category in every year. The behavioural patterns of a customer to chase after promotional values and offers and discounts. It is to be noted that the different variable for the customer profile are to be made from the basic information available, such as the preference in Lifestyle from the pattern of purchase across the different segments available for purchase (Mehta, 2008). Variables pertaining to the Life-Stage are also to be created by the use of marital status, age and the no. of children the customer has. Analytical Model After the data has been prepared in the previous step, an algorithm pertaining to the Non-Hierarchical method is to be used for determining the membership segment (Predictive Analytics: The Core of Data Mining, 2016). The process of modelling shall be looking into different combinations of clusters and the ideal one shall be the 5 cluster solution. The no. of exact segments was decided upon because of: Objective Statistical Criteria Primary Statistical Criterion such as the Pseudo F Statistic or the Cubic Clustering Criterion, RMSSTD, etc. Clusters having their own pattern over the modelling unit and the hold out sample unit. Sizes are same. The mean values of the different primary variables are same. Subjective Criteria Driven by Business The Size of the different clusters. The clusters should be large enough to give out meaningful action for the marketing solutions (Raphel, Raphel and Raye, 2005). Differentiation among the primary variables. The different clusters should be non-similar in nature on several factors such as, category wise purchase value, total purchase value, etc. Segmentation Results The Clusters that has been processed form the modelling process has been profiled based on the demographics of the customers for creation of a holistic description, which are given herein below: Loyal Families: 17% of the total customer population. Married Value Seekers (Loyal) Comprises of 18% of the total population (Stinson, 2008). Married Shoppers (Occassional) 34% of the total customer population Single Female (Pormo and Discount Hunter) Consists of 19% of the total customer population. Single Male (Value Seeker) Comprises of around 12% of the total customer base. Plan and Time Table The plan for the project has already been made. The data analytics and data mining model has been decided upon. A basic study of the retailer data has been made from the loyalty program. A further analysis of the same using the prescribed data analytics model would help us in finding out further characteristics of the different segments that has been mentioned herein above. Based on the different characteristics, the retailer would be able to focus their marketing process on the different segment and come up with different products, discounts and promotional offers for the different segments (Timm, 2001). Based on the plan a grant chart has been prepared depicting the various stages of the procedure and the total time it would take to execute the same. Task Days Planning the process Collection of Data from the Loyalty Program Designing the Analytical Model Data Analysis Recommendations References Bassi, F. (2009). Latent Class Models for Marketing Strategies.Methodology, 5(2), pp.40-45. Butler, T. (2005).Power conflict, commitment the development of sales marketing IS/IT infrastructures at Digital Devices, Inc.. 1st ed. Hershey, PA: Idea Group Pub. Czarniewski, S. (2014). Building Customer Loyalty on the Polish Market.ECONOMICS SOCIOLOGY, 7(3), pp.208-222. Demographic information. (2000). 1st ed. Oak Lawn, Ill.: The Village. Dixon, R. (2010).Methodology. 1st ed. Oxford [u.a.]: Oxford University Press. Finlay, S. (2014).Predictive analytics, data mining and big data. 1st ed. Basingstoke [u.a.]: Palgrave Macmillan. Guenzi, P. and Troilo, G. (2006). Developing marketing capabilities for customer value creation through MarketingSales integration.Industrial Marketing Management, 35(8), pp.974-988. Inghilleri, L. and Solomon, M. (2010).Exceptional service, exceptional profit. 1st ed. New York: American Management Association. La, S. and Yi, Y. (2015). A Critical Review of Customer Satisfaction, Customer Loyalty, Relationship Marketing, and Customer Relationship Management.Korean Marketing Review, 30(1), p.53. Lawfer, M. (2004).Why customers come back. 1st ed. Franklin Lakes, NJ: Career Press. Martirano, M. (2016). Transcendental Phenomenology: Overlooked Methodology for Marketing Research.International Journal of Marketing Studies, 8(3), p.58. Mehta, J. (2008).Advertising, marketing and sales management. 1st ed. Jaipur, India: Book Enclave. Merceron, A., Blikstein, P. and Siemens, G. (2015). Learning analytics: From big data to meaningful data.Journal of Learning Analytics, 2(3), pp.4-8. Predictive Analytics: The Core of Data Mining. (2016).International Journal of Science and Research (IJSR), 5(5), pp.2075-2079. Raphel, M., Raphel, N. and Raye, J. (2005).The complete idiot's guide to winning customer loyalty. 1st ed. Indianapolis, Ind.: Alpha Books. Solomon, M. (2012).High-tech, high-touch customer service. 1st ed. New York: American Management Association. Stinson, P. (2008).Sales, marketing, business and finance. 1st ed. New York: Ferguson Pub. Timm, P. (2001).Seven power strategies for building customer loyalty. 1st ed. New York: AMACOM.