...York Library Journals and Magazines: HR, Management, & Organizational Behaviour All of the following journals are available in print and/or electronic format from the York University Libraries. Electronic journals are available only to current York University students, faculty and staff. In order to access the journals online from off-campus locations, you will need to login with your Passport York ID or an active library card i.e. YU Card and PIN. • Human Resource Management and Organizational Behaviour Titles • Industrial Relations Titles • Related Journals Human Resource Management and Organizational Behaviour Titles Academy of Management Executive Academy of Management Journal Also available in print: v.48, 2005 - Bronfman Business Library. Call no.: HF 5001 A24, non-circulating. Freely available E-journal. Academy of Management Learning & Education Also available in print: v.5, 2006 - Bronfman Business Library. Call no.: HD 30.4 A28, non-circulating. Freely available E-journal. Academy of Management Proceedings Academy of Management Review Also available in print: v.30, 2005 - Bronfman Business Library. Call no.: HF 5001 A25, non-circulating. Freely available E-journal. Across the Board Also available in print: v.32, 1995 - v.43, no.4, 2006. In stacks; v.13, no.10, 1976 - v.31, 1994. In storage. Bronfman Business Library. Call no.: HC 101 N3 Administrative Science Quarterly Also available in print: v.53, 2008 – Frost Library...
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...Marketing Management MKTG 5150, 007, 077, 080, 086 Fall 2013 8W Instructor: Kenneth N. Thompson, Ph.D. Professor of Marketing & Logistics Office Hours: 1:30 – 3:30 TTh and by appointment E-‐mail: kenneth.thompson@unt.edu. Only use this e-‐mail address if you cannot reach me via the Blackboard Learn e-‐mail facility. Use the ‘e-‐mail’ selection on the Learn menu bar (left side of the Learn window). E-‐mail traffic initiated via Blackboard Learn is specifically flagged to get my attention. By the way, do not expect me to respond to e-‐mail on weekends or after 5:00 p.m. on weeknights. I am often online during these times, but there are no guarantees with my extensive travel schedule this Summer. Roger Kerin and Robert Peterson (2010), Strategic Marketing Problems: Cases and Comments, 12th Ed. (Upper Saddle River, NJ: Pearson Prentice Hall) ISBN-‐13: 978-‐0-‐13-‐...
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...->> | Do you use Friendly Market regularly | | | | | | Column Variable ->> | I always pay cash. | | | | | | | | | | | | | | | | Observed Frequencies | | | | | | | | | Disagree | Neutral | Agree | Grand Total | | Statistical Values | No | 9 | 62 | 19 | 90 | | Chi Sq | df | Sig | Yes | 16 | 39 | 17 | 72 | | 5.38 | 2 | 0.07 | Grand Total | 25 | 101 | 36 | 162 | | | | | | | | | | | | | | There is NO significant association between these two variables. | | | | | (95% level of confidence) | | | | | | | | In total of 162 populations provide the answer for both questions, in those 17 peoples agrees the statement, 19 peoples not agreeing the statement, in total of 101 peoples giving neutral answers ,in that 62 peoples agrees the statement, 39 peoples not agreeing the statement. Using the chi square calculation, chi square values is 5.38, with degree of freedom 2, the significance of chi square value is 0.077 so, the null hypothesis is true therefore probability of 0.077(0.077%) case payment in the friendly market either in cash or credit card. Recommendation: The customer does not care about the mode of payment. Cross tabulation Analysis | | | | | | | | | | | | | | | | | | | | | | | | | | CROSSTABS VARIABLES ANALYZED | | | | | | | Row Variable ->> | Do you use Friendly Market regularly | | | | | | Column Variable ->>...
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...BRYANT/SMITH CASE 32 WHAT FACTORS INFLUENCE PAYING BILLS ON TIME??? Ernest G. Hamilton III Keller Graduate School of Management GM 533 – Applied Managerial Statistics December 14, 2010 INTRODUCTION As you requested, the following information below illustrates my analysis in determining whether the dollar of a bill has an effect of the number of days the bill is late. Additionally, I have obtained information that determines if the bill is from a residential or commercial customer has any effect on the number of days the bill is late. The statistical analysis of the data includes regression analysis. Data The collection agency supplied a sample of 96 randomly selected customer bills. These bills demonstrate the following information: * One dependent variable (y), which is the number of days to collect the payment * Two independent variables (x1 & x2), which are the amount of the overdue bills and the specific type of customer accounts Results * The model depicts an average time of 50 days late for the bill * The average amount per bill was approximately $174 * According to the model, it suggests there is a correlation between the number of days the bill is late, the size of the bill, and the kind of customer account. * Analysis shows that when the size of the bill increases, the number of days the bill is late decreases, thus proving the relationship between the two variables is inversely proportional * Since the customer type...
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...Introduction to Management Science MGT 3304 01 Case Study The Darby Company Table of contents: Introduction and Background………………………….P 2 Methodology * Chart……………………………………………… P 3 * Answers to Questions…………………..................P 3-6 Solution and recommendations………………………...P 7 Application in the Moroccan context…………………..P 7 Conclusion……………………………………………..P 7 Minutes of the meetings……………………………......P 8 Sources……………………………………………........P 9 Introduction and Background: The case involves a company named The Darby that manufactures and distributes meters used to measure electric power consumption. Before gradually building a customer base throughout Texas, the Darby Company started as a small production plant in El Paso. As a first step, a distribution center was created in Fort Worth, Texas and then in Santa Fe, New Mexico. The El Paso plant then marketed its meters in different states, including Arizona, California, Nevada, and Utah. A third distribution center was opened in Las Vegas and a second production plant in San Bernardino, California. Manufacturing costs alter from one production plant to another. El Paso plant produces at a cost of $10.50 per meter. However, the San Bernardino plant’s cost are $0.50 less than the cost of the El Paso plant since it utilizes newer and more efficient equipment. Concerning the efficiency of the distribution system, not much attention was paid because of the company’s quick growth, but the company’s management crew...
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...‘‘CONSUMER PERCEPTION & BRAND POSITIONING OF O’POTATO CHIPS In particular reference to AKIJ FOOD & BEVERAGE’’ Akij Food & Beverage Ltd. Submitted to: 1st Supervisor Kohinur Akter 2nd Supervisor Sumon Paul Chowdhury Lecturer’s BRAC BUSINESS SCHOOL Submitted by: Shariful Hasanul Huque ID:02104051 Page | 1 Letter of Transmittal May 10 ,2010 Ms.Kohinur Akter Lecturer BRAC Business School BRAC University. Subject: Submission of Internship Report. Dear Madam, Here is my report on “Consumer perception & Brand positioning of O’POTATO chips in particular reference to AKIJ FOOD & BEVERAGE.” It has been a pleasure as well as a challenge on my part to work on this report that has enabled me to know about Consumer perception & Brand positioning of O’POTATO chips. I wish you would be to kind to accept my Intern report and help me to complete my degree. Sincerely, Shariful Hasanul Huque Page | 2 Acknowledgement First of all I would like to thank the All Mighty for helping and supporting us to solve the assignment in time. I would also like to thank Mr. Shafiqul Islam Tushar ( AGM Brand ),Maidul hossain (Brand Executive),Mainul huq (Brand officer),Tuhin Sultana (Brand officer),Shamol Halder(B.O),Tazul Islam(Event Head),Sanaul Sikder(E.M.O), and Sumit Chakrabarty (AMO) & zahidul islam(research officer) of Akij Food and Beverage Ltd. for providing me enough support and guidance to enrich my report...
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...‘‘CONSUMER PERCEPTION & BRAND POSITIONING OF O’POTATO CHIPS In particular reference to AKIJ FOOD & BEVERAGE’’ Akij Food & Beverage Ltd. Submitted to: 1st Supervisor Kohinur Akter 2nd Supervisor Sumon Paul Chowdhury Lecturer’s BRAC BUSINESS SCHOOL Submitted by: Shariful Hasanul Huque ID:02104051 Page | 1 Letter of Transmittal May 10 ,2010 Ms.Kohinur Akter Lecturer BRAC Business School BRAC University. Subject: Submission of Internship Report. Dear Madam, Here is my report on “Consumer perception & Brand positioning of O’POTATO chips in particular reference to AKIJ FOOD & BEVERAGE.” It has been a pleasure as well as a challenge on my part to work on this report that has enabled me to know about Consumer perception & Brand positioning of O’POTATO chips. I wish you would be to kind to accept my Intern report and help me to complete my degree. Sincerely, Shariful Hasanul Huque Page | 2 Acknowledgement First of all I would like to thank the All Mighty for helping and supporting us to solve the assignment in time. I would also like to thank Mr. Shafiqul Islam Tushar ( AGM Brand ),Maidul hossain (Brand Executive),Mainul huq (Brand officer),Tuhin Sultana (Brand officer),Shamol Halder(B.O),Tazul Islam(Event Head),Sanaul Sikder(E.M.O), and Sumit Chakrabarty (AMO) & zahidul islam(research officer) of Akij Food and Beverage Ltd. for providing me enough support and guidance to enrich my report...
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...Gülden Turhan, *Ahmet Özbek Factors Affecting Consumers’ Behavioural Intention Towards Apparel Stores: A Test of the Mediating Role of Brand Satisfaction Abstract The research studied the factors that affect consumers’ behavioural intention towards apparel stores. Three different aspects of behavioural intention were examined: consumers’ purchase intention (PI), willingness to pay more (WPAY), and brand recommendation (RECM). Specifically the authors propose a model in which consumer satisfaction with the store brand mediates the effects of attitude towards sales personnel and the convenience of the store’s payment conditions or options on PI, WPAY, and RECM. The relationships hypothesized in the model were tested using two apparel store brands familiar to consumers in the city of Istanbul, Turkey. All findings were in favour of the model proposed for both apparel store brands studied, which were either a sample of men or women. Key words: satisfaction, willingness to pay more, purchase intention, recommendation, payment conditions, attitude towards sales personnel. Marmara University, Faculty of Technical Education, Department of Textile Goztepe/Kadıkoy, 34722, Istanbul, Turkey E-mail: gturhan@marmara.edu.tr *Sinop University, Gerze Vocational High School, Department of Textile Samsun-Sinop Karayolu uzeri Ataturk Mah., 57600, Sinop, Turkey E-mail: ahmetozbek@sinop.edu.tr GENERAL PROBLEMS OF THE FIBRE AND TEXTILE INDUSTRIES n Introduction To date, a vast amount of...
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...Deans Foods Company, NYSE: DF Securities Analysis Professor: Paul Tovbin Keller University By: Roy Gavra 12/14/2012 Table of content The background of Deans Foods Company with a life cycle analysis……………..…………….3 Return on Equity……………………………………………………………………………….…4 Deans Foods Company projected future growth rate of earnings…………………………………5 An analysis of its required rate of return using the CAPM measurement………………………...5 Deans Foods Company intrinsic value using the discount valuation techniques…………………6 Refernces………………………………………………………………………………………….7 The background of Deans Foods Company with a life cycle analysis According to Reuters Dean Foods Company, incorporated in 1994. The stock is traded in the New York Stock Exchange (NYSE) under the symbol DF. As of December 14th 2012 the stock value is $16.46. The company is a food and beverage company. Dean Foods Company operates through two segments: Fresh Dairy Direct-Morningstar and WhiteWave-Alpro. Dean Foods Fresh Dairy segment is domestically processor and distributor of dairy products, the company sells its products through over 50 local and regional brands. Also, the company sells it product under range of private labels. The WhiteWave-Alpro segments emphasis Soy based products, the WhiteWave-Alpro very active in the International markets as well. When assessing the company life cycle stage will look on the industry and on the company performance. The recession proof industry is it in Maturity stage, with...
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...‘‘CONSUMER PERCEPTION & BRAND POSITIONING OF O’POTATO CHIPS In particular reference to AKIJ FOOD & BEVERAGE’’ Akij Food & Beverage Ltd. Submitted to: 1st Supervisor Kohinur Akter 2nd Supervisor Sumon Paul Chowdhury Lecturer’s BRAC BUSINESS SCHOOL Submitted by: Shariful Hasanul Huque ID:02104051 Page | 1 Letter of Transmittal May 10 ,2010 Ms.Kohinur Akter Lecturer BRAC Business School BRAC University. Subject: Submission of Internship Report. Dear Madam, Here is my report on “Consumer perception & Brand positioning of O’POTATO chips in particular reference to AKIJ FOOD & BEVERAGE.” It has been a pleasure as well as a challenge on my part to work on this report that has enabled me to know about Consumer perception & Brand positioning of O’POTATO chips. I wish you would be to kind to accept my Intern report and help me to complete my degree. Sincerely, Shariful Hasanul Huque Page | 2 Acknowledgement First of all I would like to thank the All Mighty for helping and supporting us to solve the assignment in time. I would also like to thank Mr. Shafiqul Islam Tushar ( AGM Brand ),Maidul hossain (Brand Executive),Mainul huq (Brand officer),Tuhin Sultana (Brand officer),Shamol Halder(B.O),Tazul Islam(Event Head),Sanaul Sikder(E.M.O), and Sumit Chakrabarty (AMO) & zahidul islam(research officer) of Akij Food and Beverage Ltd. for providing me enough support and guidance to enrich my report...
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...Ford Mustang Statistical Report To: Tom Jones, Director of Sales From: Statistician Date: 10/17/2010 Subject: Analysis of factors affecting selling price of Ford Mustangs Per your request, I am providing a statistical analysis of the factors affecting the selling price of Ford Mustangs. There are nine (9) variables that affect the selling price of Ford Mustangs. They are: Convertible or not Convertible, automatic or manual transmission, air conditioning or no air conditioning, GT model or non-GT, private or dealer owned, color, age of the car, mileage, and number of cylinders for engine. Data: The sales manager has provided me with the records of a randomly selected sample of 35 Ford Mustangs containing the variables listed above. I will provide you with analysis on each of the independent variables listed above in order. My analysis will include a null and alternate hypothesis. The hypothesis will be based on a 0.05 significance level. A 0.05 significance level means that I will be 95% certain of the results. I will start by evaluating the variables independently followed by the most significant variables (collectively) that affect the selling price of Ford Mustangs. Finally, I will present a conclusion based on my analysis that will accurately provide the variables that should be considered when establishing the selling price of Ford Mustangs. To determine the effect of a Ford Mustang’s selling price based on whether or not it is a convertible, I have...
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...Introduction ThyssenKrupp Ag employs 17,000 employees in 80 countries that are passionate and are experts in developing solution for sustainable progress. The company manages global growth with innovations and technical progress along with using finite resources in a sustainable way. ThyssenKrupp pushes the company to evolve which helps them to meet global challenges of the future with their innovation solutions. The company’s main activities are the development and marketing of people moving equipments, so they have been invited to submit a proposal for the development and installation of a series of cycle trains for a new airport terminal. These trains will be designed to carry out the same job such as the capacity/load, distance and time frames. The company must take in consideration factors that will affect the efficiency of the train which includes the weight of passengers and their luggage. Data from similar trains located at different airports are put together the amount of time it takes the trains to travel three thousand feet. The technical department and I are asked to aid in the development of a model to help calculate the length of time it will take for one of the company’s standard trains to travel three thousand feet in an installation. Part 1 Time 20 22 19 28 30 29 20 Passenger 66 80 60 102 115 100 70 Time 19 21 24 23 28 25 20 Passenger 65 70 85 80 100 96 71 Time 21 26 19 28 30 22 25 Passenger 75 88 60 99 110 88 90 Table 1 The regression...
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...Service Level Improvements County Hospital X-Ray Department Sullivan University MGT 620 David E. Beck Luke Bubenzer Joseph Brent Hardin Marco Monteiro Executive Summary County Hospital has identified an opportunity to improve the patient experience when utilizing the existing x-ray department. Patients have expressed dissatisfaction with the amount of time needed to complete the entire x-ray process. The process improvement team has identified several different tactics that can be pursued in order to improve the patient satisfaction. This proposal discusses several viable alternatives. X-Ray Department Current Operation Current system is not patient compatible in terms of time spent in the process. Current system is not patient compatible in terms of time spent in the process. The main concern with the current operation is the amount of time needed for each patient to complete the entire x-ray process. This process is defined as when the patient leaves his physician’s offices to go to the x-ray center. The process is complete when the patient leaves the x-ray center and the physician receives the developed x-rays via courier service. Excessive numbers of steps lead to patient dissatisfaction and excessive costs on wasted materials and labor. Excessive numbers of steps lead to patient dissatisfaction and excessive costs on wasted materials and labor. There are several keys steps in the process for each patient. The first step is that...
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...ROBERT GORDON BUSINESS SCHOOL Investment Appraisal for Zest Spa India A financial analysis 1411742 06.01.2015 Words: 2420 + 500 Appendix Table of contents 1. Company overview and appraisal ....................................................................................................... 1 2. Background .......................................................................................................................................... 1 2.1 Porter´s analysis ............................................................................................................................ 2 2.2. Indian government ....................................................................................................................... 2 3. Investment Thesis................................................................................................................................ 3 4. Valuation ............................................................................................................................................. 5 4.1 ARR ................................................................................................................................................ 6 4.2 IRR.................................................................................................................................................. 6 4.3 Limitations ...............................................................................................................
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...the results are shown in this paper, along with a graph for each set. The results are analyzed for recommendation to the company. Introduction Regression analysis is performed on three sets of variables – benefits and intrinsic job satisfaction, benefits and extrinsic job satisfaction, and finally benefits and overall job satisfaction. The results of the regression analysis are used to determine whether any relationship exists for the three sets of variables and the strength of the relationship. Benefits and Intrinsic Job Satisfaction Regression output from Excel Regression Statistics Multiple R 0.069642247 R Square 0.004850043 Adjusted R Square -0.004718707 Standard Error 0.893876875 Observations 106 ANOVA df SS MS F Significance F Regression 1 0.404991362 0.404991 0.506863 0.478094147 Residual 104 83.09765015 0.799016 Total 105 83.50264151 Coefficients Standard Error t Stat P-value Lower 95% Upper 95% Lower 95.0% Upper 95.0% Intercept 5.506191723 0.363736853 15.13784 4.79E-28 4.784887914 6.227496 4.784888 6.227496 Benefits -0.057165607 0.080295211 -0.71194 0.478094 -0.216394019 0.102063 -0.21639 0.102063 Graph Benefits and Extrinsic Job Satisfaction Regression output from Excel Regression Statistics Multiple R 0.161906 R Square 0.026214 Adjusted R Square 0.01685 Standard Error 1.001305 Observations 106 ANOVA df SS MS F Significance F Regression 1 2.806919 2.806919 2.799606 0.097293 Residual 104 104.2717 1...
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