...NTT DoCoMo: Marketing i-mode Why was NTT DoCoMo so successful? What is the most critical reason for its success? DoCoMo’s i-mode delivered a service that met the incipient need of a large target group in the market, namely a world wide web-like content service on a mobile phone, and rapid easy messaging; this was the critical driver of its success. Most of their strategic and marketing decisions, such as its choice of content, advertising, pricing, technology and hardware, revolved around appealing to young Japanese customers. Its consistent marketing approach created a service that consumers were previously not able to articulate. The service was a “blue ocean” (Kim & Mauborgne, 2005) - a standalone service that uniquely integrated the most appealing aspects of the internet and mobile communications. The following are the key decisions that supported the success of DoCoMo: Content DoCoMo chose not to control the entire value chain from content to network, but rather involved the work of third-party entrepreneurs to build content. Partners like Bandai (Moon et al., 2002, p.6), Japan’s largest producer of toys and video games, supplied emotionally appealing content for teenagers and young adults. In addition, a centralized and seamless billing structure facilitated payment to content providers by subscribers who valued convenience and who disliked small purchases made with credit cards. This service proved popular; in 2001 around half of i-mode’s customers were subscribing to...
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...NTT DoCoMo: Marketing i-mode To ease the congestion problem, in 1997, DoCoMo gave Enoki—a lifetime employee who had worked his way up through NTT’s engineering ranks—a mandate to convince DoCoMo subscribers to begin using their cell phones in a fundamentally different way. More specifically, the mandate was to build a wireless Internet service that would create demand for sending/receiving text-based data via cell phones. Enoki decided to use DoCoMo’s existing packet switched network for the new service, which minimized the overall investment associated with the project.3 One advantage of such a network was that instead of having to keep a wireless circuit open for the duration of a phone call, it was possible for DoCoMo to interweave text-based data packets into a voice stream—allowing multiple subscribers to “share” a single circuit. In building a team to help him create the mobile Internet service, Enoki began by recruiting two outsiders who he believed would help him break free of the rigid, technical mindset that permeated NTT’s engineering-driven culture. The first was Mari Matsunaga, a marketing guru who had achieved a reputation as an editor-in-chief extraordinaire at Recruit, a Japanese magazine publishing house. Given the fact that Matsunaga had zero technical expertise (she didn’t even own a cell phone at the time), Enoki’s decision to bring her on board took many in the company by surprise. Enoki explained: In traditional Japanese companies, you’re...
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...Thomas-Kilmann questionnaire to learn what others are doing in those situations and learn to understand your own behavior during tense moments. You can master these challenges with knowledge and practice. The Five Conflict-Handling Modes The Thomas-Kilmann Conflict Mode Instrument (TKI) assesses an individual’s behavior in conflict situations—that is, situations in which the concerns of two people appear to be incompatible. In conflict situations, we can describe a person’s behavior along two basic dimensions*: (1) assertiveness, the extent to which the individual attempts to satisfy his or her own concerns, and (2) cooperativeness, the extent to which the individual attempts to satisfy the other person’s concerns. These two dimensions of behavior can be used to define five methods of dealing with conflict. These five conflict-handling modes are shown below: C O M P E T I N G Competing is assertive and uncooperative, a power-oriented mode. When competing, an individual pursues his or her own concerns at the other person’s expense, using whatever power seems appropriate to win his or her position. Competing might mean standing up for your rights, defending a position you believe is correct, or simply trying to win. C O L L A B O R A T I N G Collaborating is both assertive and cooperative. When collaborating, an individual attempts to work with the other person to find a solution that fully satisfies the concerns of both. It...
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...Median, Mode New Statistical Notation • Σ : sigma – The symbol Σ means to sum (add) the scores Central Tendency What Is Central Tendency? • A score that indicates where the center of the distribution tends to be located. • Tells us about the shape and nature of the distribution. d b Measures of Central Tendency • Mode • Median • Mean The Mode • The most frequently occurring score. • Typically useful in describing central tendency when the scores reflect a nominal scale of measurement. l f The Mode • It does not make sense to take the average in nominal data. – Gender: 67 males --- 1 50 females ---- 2 14 13 14 14 10 15 13 12 17 15 13 14 11 14 14 15 13 15 Score S 17 16 15 14 13 12 11 10 f 1 0 4 6 4 1 1 1 What is the mode? N=18 Unimodal Distributions When Wh a polygon h l has one hump (such as on the normal curve) the distribution is called unimodal. 14 15 15 14 10 15 13 12 17 15 13 12 11 12 15 12 13 12 Score S 17 16 15 14 13 12 11 10 f 1 0 5 2 3 5 1 1 What is the mode? N=18 Bimodal Distributions When distribution Wh a di ib i has two scores that are most frequently occurring, it is called d bimodal. Example Score S 7 6 5 4 3 2 1 f 1 4 5 4 6 7 9 N=36 What is the mode? Uses of The Mode • In nominal data – Since we cannot use mean or median • Also in ordinal, interval or ratio data, along with mean and median ih d di Problems with The Mode • Gives...
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...Running Head: A VARK Analysis A VARK Analysis of One Student’s Learning Style LorieAnn T Dailey Grand Canyon University: NRS-429v April 22, 2012 A VARK Analysis of One Student’s Learning Style This paper will discuss Fleming and Bonwell’s VARK analysis of learning styles. (2002). It will also discuss the results from this student’s use of the VARK instrument and will compare those results to this student’s own observations about her preferred learning styles or methods. Next, this paper will discuss possible changes this student could make in her learning methods that might tend to make her a more successful student in view of her results on VARK questionnaire. Finally, this paper will briefly address the analysis of this student’s learning style in the specific context of e-learning or distance learning. VARK, an acronym for Visual, Aural, Read/write, and Kinesthetic, is a system developed in its current form by Neil Fleming which uses a sixteen-question instrument to evaluate a part of student’s learning styles. (Fleming & Bonwell, 2002, FAQs (Frequently Asked Questions)). While VARK is commonly referred to as an analysis of learning styles, that is technically inaccurate. While “learning style”, as the term is generally understood, refers to several different factors such as working with others vs. working alone, physical conditions of the learning environment, and even biorhythms, VARK analyzes only one aspect of learning styles: the way a student receives...
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...column, all job category are listed. The Frequency column records the number of observations that fall within a particular job category. As I have sorted our using SPSS, Clerical, Office Trainee, Security Officer, College Trainee, Exempt Employee, MBA Trainee, and Technical job category represent 227, 136, 27, 41, 32, 5, and 6 respectively out of the total employees of 474. The percent column shows how much each job category possesses of total employees. As you can see, as Clerical, Office Trainee, Security Officer, College Trainee, Exempt Employee, MBA Trainee, and Technical employment category represent 47.9%, 28.7%, 5.7%, 8.6%, 6.8%, 1.1% and 1.1% respectively. The Cumulative frequency column lists the total of each frequency added to its predecessor, such as, Clerical job category itself represents 47.9% of all employees and then Office Trainee job category represents 28.7%, but both Clerical and Office Trainee represents 76.6% of the total population. If we consider, Clerical, Office Trainee, and Security Officer; all of them represent 82.3% of the total employees. This is what cumulative percent is all about. b) Using Chart Builder feature from Graphs Menu of SPSS 17.0, I have generated a Pie Chart that shows the percentages of employees within each job category: c) Using Chart Builder feature from Graphs Menu of SPSS 17.0, I have generated a Bar Chart that showing the distribution of employees within job categories: Question 2 a) Using Chart Builder...
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...I've selected GENDER and EXTRINSIC from data sheet. Here's Question:QMB350-1001A-07 Statistical Analysis Assignment Name: Unit 1 Individual Project Deliverable Length: 3 pages Details: The data set for our course is a sample of a survey conducted on the population of the American Intellectual Union (AIU). It is available via the following link: DataSet with DataSet Key which contains the following nine sections of data that will be used throughout our course: (1) Gender (2) Age (3) Department (4) Position (5) Tenure (6) Overall Job Satisfaction (7) Intrinsic Job Satisfaction – Satisfaction with the actual performance of the job (8) Extrinsic Job Satisfaction- Things external to the job, e.g., office location, your work colleagues, your own office (cubicle/hard walled office, etc), and (9) Benefits – Health insurance, pension plan, vacation, sick days, etc. In each of the assignments in this course you will be dealing with the following scenario: American Intellectual Union (AIU) has assembled a team of researchers in the United States and around the world to study job satisfaction. Congratulations, you have been selected to participate in this massive global undertaking. The study will require that you examine data, analyze the results, and share the results with groups of other researchers. Job Satisfaction is important to companies large and small and understanding it provides managers with insights into human behavior that can be used to strengthen the company's bottom line...
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...with its dispersion or in other words the variability. It is important to summarize a set of data with a single value of data when interpreting and analyzing data, as it serves the purpose and give a representative value for the overall data. The most common measures of central tendency are the arithmetic mean, the median and the mode. A central tendency can be calculated for either a finite set of values or for a theoretical distribution, such as the normal distribution. Occasionally authors use central tendency to denote "the tendency of quantitative data to cluster around some central value." [1][2] Mean: It is also known as the arithmetic average, mean is the sum of value of all the observation in a set of data divided by the total number of the observations. Median: when values are arranged in a descending or ascending order, the middle value in the distribution is known as the median. Mode: It is the most repeated or commonly occurring value in the distribution. [1] Dodge, Y. (2003) The Oxford Dictionary of Statistical Terms, OUP for International Statistical Institute. ISBN 0-19-920613-9 (entry for "central tendency") [2]Upton, G.; Cook, I. (2008) Oxford Dictionary of Statistics, OUP ISBN 978-0-19-954145-4 (entry for "central tendency") * Purpose Of Calculating Central Tendency * It is very useful to calculate the average. * Central position for very large amounts of data can easily be found. * It allows comparison between one set of data to another...
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...revenue over and above the accomodation charges. The aim of this report is to investigate the types of customers, length of their stay and their expenditure, over and above accomodation charges, from a random sample of 200 families who have stayed at CCResort. There are two key performance indicators that the Resort is aiming to meet: I. More than 40% of their customers stay for a full week II. The average customer spends more than $255 per day in excess of accomodation Through the statistical analysis of the sample provided to the Business Analytics Department (BAD), the first performance indicator is already being met, however the resort is failing to meet their second indicator. Customers The major variable that needs to be analysed when looking at the types of people attracted to CCResort is the number of people in the booking party. The key features of the number of people in the booking party can be seen in Table 1, below. Table 1: Key features of number of people Mean | 3.51 | Standard Deviation | 1.31 | Mode | 4 | Median | 4 | Max | 6 | Min | 2 | As seen in the table the mean number of people is 3.51 and the mode and median are 4, this reveals that CCResort are attracting small families. The minimum and maxiumum of 2 and 6 respectively also conveys how they are attracting a very small range of parties. This could be due to the range of activities they have like boat and bike hire, which is very accommodating for a family...
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...Running head: THE NATURE OF PROBABILITY AND STATISTICS Unit 1 Individual Project Charity Major BUSN 311-1005A-04 Instructor: Dr. Irene Tsapara November 14, 2010 Certification of Authorship: I certify that I am the author of this paper and that any assistance I received in its preparation is fully acknowledged and disclosed in the paper. I have also cited any sources from which I used data, ideas, words, either quoted directly or paraphrased. I also certify that this paper was prepared by me especially for this course. Student’s Signature: __________Charity Major_________________________ I randomly selected Gender and Extrinsic Job Satisfaction. I learned that median and mode had the same answer. I analysis by add up all the Gender for mean I got 1.56, median 2, and mode 2. I also added Extrinsic I got for mean is 5.42, median 5.6, and mode 5.6. Standard deviation and variance are the same square root of gender for mean is 1.25, median 1.41, and mode 1.41. The square root of Extrinsic for mean is 2.33, median 2.37, and mode 2.37. The number are applicable because they were found on the excel 2007 data set key sheet. In conclusion charts, graphs provide a great deal of visual appeal. They allow users to quickly spot trends, examine pronounced data, and see an actual picture. Settings, charts, graphs, and tables can be used to represent data, illustrate important patterns or relationships, and observe changes as data is altered. Central Tendency ...
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...CONFLICT MODE Thomas-Kilmann Instrument P R O F I L E A N D I N T E R P R E T I V E R E P OR T Kenneth W. Thomas and Ralph H. Kilmann Prepared for MICHAELS PAT March 19, 2001 PUBLISHED BY CONSULTING PSYCHOLOGISTS PRESS, INC. Copyright 1974, 2001 by Xicom, Incorporated. Xicom, Incorporated is a subsidiary of Consulting Psychologists Press, Inc. All rights reserved. Thomas-Kilmann MICHAELS PAT PAGE 2 OF 10 ........................................................................................Instrument .................................................................................... March 19, 2001 CONFLICT MODE The Five Conflict-Handling Modes The Thomas-Kilmann Conflict Mode Instrument (TKI) is designed to assess an individual’s behavior in conflict situations - that is, situations in which the concerns of two people appear to be incompatible. In such situations, we can describe a person’s behavior along two basic dimensions: (1) assertiveness, the extent to which the individual attempts to satisfy his or her own concerns, and (2) cooperativeness, the extent to which the individual attempts to satisfy the other person’s concerns. These two basic dimensions of behavior can be used to define five specific methods of dealing with conflicts. These five "conflict-handling modes" are shown below. A p S S E R T I V E N E S q S U N A S S E R T I V E A S S E R T I V E COMPETING COLLABORATING COMPROMISING AVOIDING UNCOOPERATIVE ACCOMMODATING ...
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...Quantitative Literacy Mat143 LN12 Group Black Nicole Luck Lisa Becquet Sandra Soto Heather Wicker Jared Gunter Exploring the Average I. Background Information * The three most common measures of center: Mean The mean is the best-known and most widely used measure of central tendency. It is what most people call the "average." The mean is calculated by adding up all the scores and dividing the result by the number of scores in the distribution. Median The median represents the exact middle of a distribution so that half of the cases are above it and half are below it. It is the middle case in a distribution when the scores are arranged in order from lowest to highest. Mode The mode is the category or score with the highest frequency in the distribution. In other words, it is the most common score, or the score that appears the highest number of times in a distribution. * Skewness A distribution is said to be skewed when the data points cluster toward one side of the scale than the other, creating a curve that is not symmetrical. In other words, the right and the left side of the distribution are shaped differently from each other. There are two types of skewed distributions. A distribution is positively skewed if the scores fall toward the lower side of the scale and there are very few higher scores. Positively skewed data is also referred to as 'skewed to the right' because that is the direction of the 'long tail end' of the chart. A distribution...
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...8.2 MEASURES OF CENTRAL TENDENCY Measures of central tendency are also called because they describe values which stand for magnitudes near the center of the distribution or around which the other values tend to cluster. Examples: Mean, median and mode 8.2.1 The Arithmetic Mean This is commonly known as the average. An ordinary average is one which is obtained by simply adding all the values observed, then dividing he sum by the number of values added. WEIGHTED ARITHMETIC - Another type of average. - obtained by first multiplying each observed value by a corresponding assigned weight before summing up the products then dividing the sum of he weights. In both instances, the arithmetic mean was computed simply by summing up then dividing the sum by the number of values added up. Symbolically, if X stands for the mean and each X¡ represents individual values to be added up to n number of variants and [∑] represents summation sign, then: 8.2.1.1 Ungrouped Data Raw data are values obtained directly either from observations or from the questionnaire results. Nothing has not yet been done to convert the data into any form, except to copy or to record them as values obtained from the direct observations. Example: TABLE 8.4 8.2.1.2 Grouped Data Values which have undergone some treatment, possibly in terms of arrangement into similar categories called groups or classes. To do this the following terms should be clearly understood: Class – refers to the...
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... median, and mode are differing values that furnish information regarding a set of observations. The mean is used when one desires to determine the average value for data ranked in intervals. The median is used to learn the middle of graded information, and the mode is used to summarize non-numeric data. The mean is equal to the amount of all the data in a set divided by the number of values in that set. It is typically used with continuous figures. The result will probably not be one of the values in the data set, but is a representation of all those values. In other words, if I want to find the mean salary at a particular company, I would add together all the salaries and divide by the total number of salaries added: $50,000 + $56,000 + $54,500 = $53,500. The problem with mean figures is they are easily slanted by one figure that stands far above or below the others. In the previous example, if I have three annual salaries of $50,000, $56,000, and $54,500, and then the company president’s salary of $260,000, I will derive an average salary of $105,125. This mean is double the actual salaries of the lower paid workers. In this case it would be more appropriate to find the median salary. To find the median salary in the previous example, we arrange the data according to value: $50,000, $54,500, $56,000, and $260,000 and find the middle which would be $55,250. If I wanted to know the breakdown of salaries in the company, I would use mode. Using this method, I could compile...
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...lots 200 150 60 50 40 500 price per lotweighted price 20 4000 22 3300 28 1680 30 1500 50 2000 150 12480 Total Compute the average price per lot 12480 / 500 =25 Do not round to closest dollar The average price per lot is $ 25 3.If the arithmetic mean of 22 observations is 553, what will be the mean if one of the values changed from 959 mean= 553 for 22 observations mean =( x+959 )/ 22 = 553 so after solving we find that x = 11207 New mean = (11207 +453) / 22 = 530 The new mean would be 530 4.The mean of 10 numbers is 177. Nine of the numbers are as follows: 58 82 47 23 15 a) Determine the value of the missing number (58+82+47+23+15+79+36+61+25 +x )/10 = 177 to solve the equation first I will add the nine numbers togother = 426 $ 24.96 so (426+x)/10 = 177 now 177*10 = 1770 and will move the 426 to the other side as a minuse so that will be x = 1770-426 so x is 1344 The value for the missing number is 1344 b) Considering the magnitude of the missing number, is the mean a representative measure for the group of numbers? Explai yes , the mean is a representative measure . Because it measure the average of all number /# of numbers. It is also very helpful measure in finding missing numbers .Because we can use the equation to find any missing number. The missing number is an extremely large value...
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