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Purpose of Study
Our firm seeks to find what makes for a good coffee house
 in the Western Massachusetts and Northern Connecticut
                          region.

               Research Question
   Do you have to have a certain atmosphere, location,
                         products
   and service in order to make a good coffee house in
   Western Massachusetts and Northern Connecticut?

                     Hypothesis
A good coffee house does not depend upon the taste of the
coffee served. Instead, other contributing factors based on
 atmosphere, location, products and service make a good
                      coffee house.
Research Procedures
The following research procedures have been implemented in our study:

1. Research thoroughly reviewed on the history of coffee and how it has
evolved since inception.

2. Critical analysis of the history of coffee houses and how and why they
have survived through so many years.


3. Details on the past and present market trends of coffee houses.


4. Implement the research through observation strategies in the field.

5. Analyze the observable data through methods of coding.

6. Draw interpretations and conclusions from all the research collected to the

purpose of this study.
The History of Coffee
Growth in the Coffee Market




      _____Coffee Sales - $11 Billion

      _____Coffee Sales - $19 Billion


      _____50 Coffee Houses
      _____14,000 Coffee Houses
Initial Data Collection




•   Observation Notes: The actual text written to describe the observer’s experience.
•   Observer: The person observing and writing the text.
•   Category: Some responses were categorized by the observer and
    we did not want to lose this fact thus we kept it in the case we needed it.
•   Address: The address of the establishment observed.
•   Date: The date the observation was made.
•   Start Time: The beginning time of the assumed half hour observation.
•   The name of the
    independent
    shop visited. This column was left blank for the Dunkin’ Donuts and Starbucks
    observations.
Move into MSAccess Database Format




    •   Standardize Addresses
    •   In the 1st Column, an Observation ID which uniquely identifies each row of
        data.
    •   In the 8th Column, the Place Type which was mentioned previously.
    •   In the 10th Column, the Weekday derived from the Date field.
    •   In the 11th Column, the Time of Day derived from the Start Time field.
Rate the Response
Response Categories
Data Possibilities
Research Limitations
• Time Constraints – Lack of time did not allow for further investigations.
     With more time the consultants would have performed more field work
     including: customer, employer, employee interviews and questionnaires.

 • Determining Customer Motivations – This could not be determined with
    observable data.
Surveys and questionnaires for the customers on reasons why they would
stay and/or leave must be conducted.

• Customer Demographics & Socioeconomic Status – A study of this
  information must be conducted to further analyze if this has an effect on a good
  coffee house.

• Observers – The participant observers are untrained and were able to visit the
  coffee houses any day of the week and at any time.
Research Limitations
• Coding – Based on two consultants and their interpretation of the data.

• Area Researched – Observations were taken from a large area span from
  Western Massachusetts and Northern Connecticut. This cannot be
  generalizable
  to the nation as a whole.

• Definition of Coffee House – Each observer has their own definition of a
  coffee
  house. This could have been a problem when choosing an independent coffee
  house.
Observable Data                                                      12 observers
                                                          • 971 observations
  Rank                 CatGroup                            Category              Total
                                                          • 1,659 ratings
          1Atmosphere and Location   Ambience                                          213
                                                          • 32 coffee house locations
          2Other                     Clientele Type/Demographics/Class                 211

          3Service                   Procedural - Competency, Accuracy, Quality        171
          4Products     The results Presentation top ten categories
                                    show the                                            97
                     mentioned by the observers include the following:
          5Atmosphere and Location   Décor                                              95
          6Atmosphere and Location   Lounge - Comfortable Seating                       81

          7Atmosphere and Location   Facility                                           75

          8Service                   Personal - Feel Welcomed and Valued                69
          9Products                  Variety                                            66
         10Products                  Coffee                                             57
Observable Data
           CatGroup                         Category            Total    Negative       Positive
Atmosphere and Locationresults show
                The       Ambience    the top ten categories mentioned 45
                                                                  99                               54
Service    by the observers only including negative and positive ratings:
                       Procedural - Competency, Accuracy, Quality 83   32                          51
Service                   Personal - Feel Welcomed and Valued       52              3              49
Products                  Presentation                              45          19                 26
Products                  Variety                                   36              1              35
Atmosphere and Location   Lounge - Comfortable Seating              32              7              25
Products                  Coffee                                    31              1              30
Atmosphere and Location   Decor                                     31              7              24
Products                  Take Home Items Available                 25              1              24
Atmosphere and Location   Accessibility                             25              2              23
Observable Data
POSITIVE                     This shows the rank order of codes.
Rank Coffee House Total Rankings
1 Starbucks 228
2 Independent 165
3 Dunkin’ Donuts 110



NEGATIVE
Rank Coffee House Total Rankings
1 Dunkin’ Donuts 78
2 Independent 60
3 Starbucks 26



NEUTRAL
Rank Coffee House Total Rankings
1 Dunkin’ Donuts 352
2 Independent 331
3 Starbucks 309
Coffee House Addresses

IN            598 Sumner Avenue, Springfield, MA
IN            60 Masonic Street, Northampton, MA
IN         PlaceTp Hopmeadow Street, Simsbury, CT
               712                       Address
IN    DD      College Highway, Southwick, MA CT
                    155 Hazard Avenue, Enfield,

IN    DD      Enfield1600 Northampton Street, Holyoke, MA
                      Sqare, 90 Elm Street, Enfield, CT
IN    DD      Pleasant Steet, Road, East Windsor, CT
                    17 North Northampton, MA

IN    DD             3 Allen Street, Hamden, MA
              Suffield Village 68 Bridge Steet, Suffield, CT
SB    DD      1089 EastPark Street,Avenue, Springfield, MA
                    44 Columbus West Springfield, MA

SB    DD            54 Hazard Avenue, Enfield, CT
              280A East Main Street, Westfield, MA
SB    DD            55 Maple Street, East Longmeadow, MA
              42 North Main Street, East Longmeadow, MA
SB    DD      50 HolyokePage Boulevard, Springfield, MA
                    694 Street, Holyoke, MA

SB    DD      620 Memorial Drive, Chicopee, MA CT
                   760 Park Avenue, Bloomfield,

SB    DD      852 Cottage Grove Avenue, West Springfield, MA
                    85 Memorial Road, Bloomfield, CT

SB    DD            93 Main Street, Westfield, MA
              9 Hazard Avenue, Enfield, CT
SB    DD      930 Hopmeadow Street, Simsbury, CT CT
                    Albany Avenue, West Hartrford,

SB    IN            1344 Memorial Avenue West Springfield, MA
              Springfield, MA
      IN            185 Main Street, Northampton, MA
      IN            226 Broad Street, Windsor, CT
      IN            462 Main Street, Wilbraham, MA
Coffee House Addresses
Top Four Coffee House Elements
REFERENCES
Articles
Coffee. (1999). NationalGeographic.com. Retrieved February 17, 2008, from http://www.nationalgeographic.com/coffee/legend2.html
Coffee history. (2006). CoffeeResearch.org. Retrieved February 17, 2008, from http://www.coffeeresearch.org/coffee/history.htm
Ellis, M. (2002). The devil’s ordinary: consuming public culture in the coffee-house. Cabinet
Magazine Online. Retrieved February 15, 2008, from http://www.cabinetmagazine.org/issues/8/coffeehouse.php
Gale Group (2007). Specialty coffee. 11-10. Retrieved February 3, 2008, from http://galenet.galegroup.com/servlet/BCRC
Gupta, N. (2004, September). Grande Wi-Fi: understanding what Wi-Fi users are doing in coffee-shops. Retrieved February 16, 2008, from
http://www.newburyopen.net/pubs/Thesis_NeetiGupta.pdf
History of the coffee house, part I. (2006, December). SupermarketGuru.com. Retrieved February 17, 2008, from
http://www.supermarketguru.com/page.cfm/31270
Montalvo, K. V. (2006, June). A gourmet coffee nation?. Gourmet Retailer, 27(6), 74.
Little known facts about coffee. (n.d.). National Coffee Association of U.S.A., Inc. Retrieved February 17, 2008, from http://www.coffeescience.org
Suter, K. (2005, February). The rise and fall of English coffee houses. Contemporary Review, 107. Retrieved from Expanded Academic ASAP database.
The history of coffee. (n.d.). Retrieved February 17, 2008, from http://www.ncausa.org/i4a/pages/index.cfm?pageid=68
Thompson, C. J., & Arsel, Z. (2005, October 7). The Starbucks brandscape and the discursive mapping of local coffee shop cultures. Retrieved February
4, 2008, from http://www.bus.wisc.edu/nielsencenter/research/docs/brandcoffeejcr-7.pdf.
Waxman, L. K. (2004). More than coffee: an examination of people, place, and community with implications for design. Retrieved February 16, 2008,
from http://interiordesign.fsu.edu/symposium/2007/2007Proceedings.pdf
Maps
All Mapquest maps retrieved from http://www.dunkindounts.com
44 Park Street, West Springfield, MA
https://www.dunkindonuts.com/aboutus/store/Results.aspx?hdnLatitude=42.107353&hdnLongitude=-
72.617059&hdnType=ByLocation&rdoUnit=Mi&txtPostalCode=&txtAddress=44+park+street&txtCity=west+springfield&selStateProvince=MA&selCountry
=NN&txtDistance=10&txtMatchesperPage=5
1600 Northampton Street, Holyoke, MA
https://www.dunkindonuts.com/aboutus/store/Results.aspx?hdnLatitude=42.20994&hdnLongitude=-
72.630049&hdnType=ByLocation&rdoUnit=Mi&txtPostalCode=&txtAddress=1600+northampton+street&txtCity=holyoke&selStateProvince=MA&selCount
ry=NN&txtDistance=10&txtMatchesperPage=5
55 Maple Street, East Longmeadow, MA
https://www.dunkindonuts.com/aboutus/store/Results.aspx?hdnLatitude=42.063508&hdnLongitude=-
72.516377&hdnType=ByLocation&rdoUnit=Mi&txtPostalCode=&txtAddress=55+maple+street&txtCity=east+longmeadow&selStateProvince=MA&selCou
ntry=NN&txtDistance=10&txtMatchesperPage=5
Observations
All observations were submitted by students at The Graduate School at Bay Path College, Longmeadow, Massachusetts for the Fall 2007 MBA 607
Methods of Business Research and Analysis Wednesday night class with Dr. James M. Wilson, III.
Coffee House Success Factors

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Coffee House Success Factors

  • 1.
  • 2.
  • 3. Purpose of Study Our firm seeks to find what makes for a good coffee house in the Western Massachusetts and Northern Connecticut region. Research Question Do you have to have a certain atmosphere, location, products and service in order to make a good coffee house in Western Massachusetts and Northern Connecticut? Hypothesis A good coffee house does not depend upon the taste of the coffee served. Instead, other contributing factors based on atmosphere, location, products and service make a good coffee house.
  • 4. Research Procedures The following research procedures have been implemented in our study: 1. Research thoroughly reviewed on the history of coffee and how it has evolved since inception. 2. Critical analysis of the history of coffee houses and how and why they have survived through so many years. 3. Details on the past and present market trends of coffee houses. 4. Implement the research through observation strategies in the field. 5. Analyze the observable data through methods of coding. 6. Draw interpretations and conclusions from all the research collected to the purpose of this study.
  • 5.
  • 6. The History of Coffee
  • 7.
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  • 12. Growth in the Coffee Market _____Coffee Sales - $11 Billion _____Coffee Sales - $19 Billion _____50 Coffee Houses _____14,000 Coffee Houses
  • 13.
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  • 19.
  • 20. Initial Data Collection • Observation Notes: The actual text written to describe the observer’s experience. • Observer: The person observing and writing the text. • Category: Some responses were categorized by the observer and we did not want to lose this fact thus we kept it in the case we needed it. • Address: The address of the establishment observed. • Date: The date the observation was made. • Start Time: The beginning time of the assumed half hour observation. • The name of the independent shop visited. This column was left blank for the Dunkin’ Donuts and Starbucks observations.
  • 21. Move into MSAccess Database Format • Standardize Addresses • In the 1st Column, an Observation ID which uniquely identifies each row of data. • In the 8th Column, the Place Type which was mentioned previously. • In the 10th Column, the Weekday derived from the Date field. • In the 11th Column, the Time of Day derived from the Start Time field.
  • 25. Research Limitations • Time Constraints – Lack of time did not allow for further investigations. With more time the consultants would have performed more field work including: customer, employer, employee interviews and questionnaires. • Determining Customer Motivations – This could not be determined with observable data. Surveys and questionnaires for the customers on reasons why they would stay and/or leave must be conducted. • Customer Demographics & Socioeconomic Status – A study of this information must be conducted to further analyze if this has an effect on a good coffee house. • Observers – The participant observers are untrained and were able to visit the coffee houses any day of the week and at any time.
  • 26. Research Limitations • Coding – Based on two consultants and their interpretation of the data. • Area Researched – Observations were taken from a large area span from Western Massachusetts and Northern Connecticut. This cannot be generalizable to the nation as a whole. • Definition of Coffee House – Each observer has their own definition of a coffee house. This could have been a problem when choosing an independent coffee house.
  • 27. Observable Data  12 observers • 971 observations Rank CatGroup Category Total • 1,659 ratings 1Atmosphere and Location Ambience 213 • 32 coffee house locations 2Other Clientele Type/Demographics/Class 211 3Service Procedural - Competency, Accuracy, Quality 171 4Products The results Presentation top ten categories show the 97 mentioned by the observers include the following: 5Atmosphere and Location Décor 95 6Atmosphere and Location Lounge - Comfortable Seating 81 7Atmosphere and Location Facility 75 8Service Personal - Feel Welcomed and Valued 69 9Products Variety 66 10Products Coffee 57
  • 28. Observable Data CatGroup Category Total Negative Positive Atmosphere and Locationresults show The Ambience the top ten categories mentioned 45 99 54 Service by the observers only including negative and positive ratings: Procedural - Competency, Accuracy, Quality 83 32 51 Service Personal - Feel Welcomed and Valued 52 3 49 Products Presentation 45 19 26 Products Variety 36 1 35 Atmosphere and Location Lounge - Comfortable Seating 32 7 25 Products Coffee 31 1 30 Atmosphere and Location Decor 31 7 24 Products Take Home Items Available 25 1 24 Atmosphere and Location Accessibility 25 2 23
  • 29. Observable Data POSITIVE This shows the rank order of codes. Rank Coffee House Total Rankings 1 Starbucks 228 2 Independent 165 3 Dunkin’ Donuts 110 NEGATIVE Rank Coffee House Total Rankings 1 Dunkin’ Donuts 78 2 Independent 60 3 Starbucks 26 NEUTRAL Rank Coffee House Total Rankings 1 Dunkin’ Donuts 352 2 Independent 331 3 Starbucks 309
  • 30. Coffee House Addresses IN 598 Sumner Avenue, Springfield, MA IN 60 Masonic Street, Northampton, MA IN PlaceTp Hopmeadow Street, Simsbury, CT 712 Address IN DD College Highway, Southwick, MA CT 155 Hazard Avenue, Enfield, IN DD Enfield1600 Northampton Street, Holyoke, MA Sqare, 90 Elm Street, Enfield, CT IN DD Pleasant Steet, Road, East Windsor, CT 17 North Northampton, MA IN DD 3 Allen Street, Hamden, MA Suffield Village 68 Bridge Steet, Suffield, CT SB DD 1089 EastPark Street,Avenue, Springfield, MA 44 Columbus West Springfield, MA SB DD 54 Hazard Avenue, Enfield, CT 280A East Main Street, Westfield, MA SB DD 55 Maple Street, East Longmeadow, MA 42 North Main Street, East Longmeadow, MA SB DD 50 HolyokePage Boulevard, Springfield, MA 694 Street, Holyoke, MA SB DD 620 Memorial Drive, Chicopee, MA CT 760 Park Avenue, Bloomfield, SB DD 852 Cottage Grove Avenue, West Springfield, MA 85 Memorial Road, Bloomfield, CT SB DD 93 Main Street, Westfield, MA 9 Hazard Avenue, Enfield, CT SB DD 930 Hopmeadow Street, Simsbury, CT CT Albany Avenue, West Hartrford, SB IN 1344 Memorial Avenue West Springfield, MA Springfield, MA IN 185 Main Street, Northampton, MA IN 226 Broad Street, Windsor, CT IN 462 Main Street, Wilbraham, MA
  • 32. Top Four Coffee House Elements
  • 33.
  • 34. REFERENCES Articles Coffee. (1999). NationalGeographic.com. Retrieved February 17, 2008, from http://www.nationalgeographic.com/coffee/legend2.html Coffee history. (2006). CoffeeResearch.org. Retrieved February 17, 2008, from http://www.coffeeresearch.org/coffee/history.htm Ellis, M. (2002). The devil’s ordinary: consuming public culture in the coffee-house. Cabinet Magazine Online. Retrieved February 15, 2008, from http://www.cabinetmagazine.org/issues/8/coffeehouse.php Gale Group (2007). Specialty coffee. 11-10. Retrieved February 3, 2008, from http://galenet.galegroup.com/servlet/BCRC Gupta, N. (2004, September). Grande Wi-Fi: understanding what Wi-Fi users are doing in coffee-shops. Retrieved February 16, 2008, from http://www.newburyopen.net/pubs/Thesis_NeetiGupta.pdf History of the coffee house, part I. (2006, December). SupermarketGuru.com. Retrieved February 17, 2008, from http://www.supermarketguru.com/page.cfm/31270 Montalvo, K. V. (2006, June). A gourmet coffee nation?. Gourmet Retailer, 27(6), 74. Little known facts about coffee. (n.d.). National Coffee Association of U.S.A., Inc. Retrieved February 17, 2008, from http://www.coffeescience.org Suter, K. (2005, February). The rise and fall of English coffee houses. Contemporary Review, 107. Retrieved from Expanded Academic ASAP database. The history of coffee. (n.d.). Retrieved February 17, 2008, from http://www.ncausa.org/i4a/pages/index.cfm?pageid=68 Thompson, C. J., & Arsel, Z. (2005, October 7). The Starbucks brandscape and the discursive mapping of local coffee shop cultures. Retrieved February 4, 2008, from http://www.bus.wisc.edu/nielsencenter/research/docs/brandcoffeejcr-7.pdf. Waxman, L. K. (2004). More than coffee: an examination of people, place, and community with implications for design. Retrieved February 16, 2008, from http://interiordesign.fsu.edu/symposium/2007/2007Proceedings.pdf Maps All Mapquest maps retrieved from http://www.dunkindounts.com 44 Park Street, West Springfield, MA https://www.dunkindonuts.com/aboutus/store/Results.aspx?hdnLatitude=42.107353&hdnLongitude=- 72.617059&hdnType=ByLocation&rdoUnit=Mi&txtPostalCode=&txtAddress=44+park+street&txtCity=west+springfield&selStateProvince=MA&selCountry =NN&txtDistance=10&txtMatchesperPage=5 1600 Northampton Street, Holyoke, MA https://www.dunkindonuts.com/aboutus/store/Results.aspx?hdnLatitude=42.20994&hdnLongitude=- 72.630049&hdnType=ByLocation&rdoUnit=Mi&txtPostalCode=&txtAddress=1600+northampton+street&txtCity=holyoke&selStateProvince=MA&selCount ry=NN&txtDistance=10&txtMatchesperPage=5 55 Maple Street, East Longmeadow, MA https://www.dunkindonuts.com/aboutus/store/Results.aspx?hdnLatitude=42.063508&hdnLongitude=- 72.516377&hdnType=ByLocation&rdoUnit=Mi&txtPostalCode=&txtAddress=55+maple+street&txtCity=east+longmeadow&selStateProvince=MA&selCou ntry=NN&txtDistance=10&txtMatchesperPage=5 Observations All observations were submitted by students at The Graduate School at Bay Path College, Longmeadow, Massachusetts for the Fall 2007 MBA 607 Methods of Business Research and Analysis Wednesday night class with Dr. James M. Wilson, III.

Notes de l'éditeur

  1. Hi Rachel, here is your slide.