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Adler, P. S., Forbes, L. C., & Willmott, H. (2007). Critical
management studies. The Academy of Management Annals, 1,
119–179. Retrieved from Business Source Complete.
This chapter provides a comprehensive overview of critical
management studies (CMS). It explores common themes of CMS
as well as the progression of the movement and motivating
factors for implementing the theory.
•Baker, D. P., Thorne, S., Gamson, D., & Blair, C. (2006,
August 11).Cognition, culture, and institutions: Affinities
within the social construction of reality. Paper presented at the
American Sociological Association Annual Conference in
Montreal, Canada.
This paper explores the social construction of reality (SCR)
paradigm, including the history, growth, and key elements of
the paradigm.
•Harvey, M., & Buckley, M. R. (2002). Assessing the "
conventional wisdoms" of management for the 21st century
organization. Organizational Dynamics, 30(4), 368-378.
Retrieved from Science Direct.
This article discusses the usefulness of both conventional
management theories and emerging management techniques. It
addresses important factors of management, including time,
globalization, and technology.
•Parmar, B. L., Freeman, R. E, Harrison, J. S., Wicks, A. C., de
Colle, S., & Purnell, L. (2010). Stakeholder theory: The state of
the art [Abstract]. Cambridge, England: Cambridge University
Press. Retrieved from
http://www.esade.edu/itemsweb/content/produccion/4004901.pd
f
Submission Requirements
Create a MS Word document that includes your responses to all
questions. Also, submit
your working MS Access Database for questions 7-8.
1. (3 points) Identify appropriate attributes for the following
entities in the personal
healthcare context. Show your attributes for the three entities
using the format in
Figure 7.4 of UML for DB Design. (Note: You can also create
the entities in Visio using
the UML Database Notation template and paste into your
submission document.)
The purpose of the data model is to capture all of the data
needed for a person to
measure and track their health over time.
person that is a
patient, e.g, contact information. It will include one instance for
every person
that is using the database to keep track of their health related
data.
measures that are
available from the system. It will include one instance for each
thing a patient
can measure on their own, e.g., weight, heart rate, blood
pressure.
time a
HealthMeasure is recorded for a patient. It will include many
instances for each
patient, e.g., one instance for each weight measurements
recorded during a
year, i.e., 52 instances if a person weighed weekly for one year.
It will also
include many instances for each instance of the HealthMeasure
table, e.g., one
instance for every time blood pressure was measured for a
patient.
Patient
PatientID: Char (25)PK
PatientFirstName:Varchar(25)
PatientLastName:Varchar(25)
Patient_DOB:Date
2. (3 points) Define the primary key for each of your
entities/classes. To assign the primary
key consider the rules for primary keys from the virtual lecture
for assignment 1, most
importantly that the attribute(s) must have a unique value for
every instance of the
entity/class. Indicate the primary keys using a PK notation.
Define any foreign keys in
your entities.
3. (3 points) Using UML DataBase Notation in Visio, create a
diagram showing any
relationships among your entities. (Use Figure 7.5 from UML
for DB Design, appendix #1
and appendix #4 as examples of UML diagram notation). Paste
this diagram into your
submission document.
4. (3 points) Expand the UML diagram from question #3 by
creating entities with attributes
and keys (in the same format as question 1) that will allow a
patient to keep track of any
medications they take. Include at least two additional entities
that you define/create to
provide this capability. Note any assumptions. Extend the
diagram you created in
question 3. Paste this new diagram into your submission
document.
5. (2 points) Convert the UML diagram (created in question #4)
to a relational model. Note
any assumptions. (Use appendix #2, #3 and #4 (below) as the
basis of the expectation of
the correct answer.)
Relational model format is:
RelationName (Key Attribute underlined, Foreign Key italics,
Attribute1, Attribute2, etc.)
6. (3 points) Compare your relations to the tables presented in
Appendix #6. Briefly (a
paragraph or so) describe any differences you observe in your
submission document.
7. (3 points) Create the tables from appendix #5 in Access.
Insert the instances given in
appendix #6 into these tables. Submit your Access Database to
show completion of this
question and question 8.
8. (5 points) Using the tables from question #7 write simple
queries to show the following:
a. List the description, units, normal low range value, normal
high range value, and
health measure ID for all measures in the health measures table.
b. What is the average heart rate from the
Patient_Measurements table?
c. How many different Patient Measurements (count) were made
for patient id
1001?
d. Display the patient last name, first name, health measure
description, date of
the measurement, patient measurement value, and health
measure units for
any patients where their measure is greater than the high end of
the normal
range of the health measure. List these items for the patients
alphabetically last
name, then first name, then by measurement date.
e. Create a SQL statement named Measure_Units_View that
consists of
Health_Measure_ID, health measure description, and units from
the
Health_Measures_tbl. Use the Measure_Units_View query to
list the measures
that have units = “mmhg”.
Appendix #1 – Class diagram (created using UML notation)
• Airline Database ER Model
Pilot
Crew Flight Passenger
Booked
1..*
-IsReservedBy
1..*
-Reserves
Assigned
1..*
-AssignedTo
1..*
-IsAssigned
Appendix #2 – Rules for Converting E/R model to Relational
Model
• Converting ER Models to Relational
• Entities: All entities are converted to relations using the
identifier for the
entity as the primary key.
• Relationships:
• M-N: Form a new relation with the primary keys of the related
entity
sets. These keys make up a composite key for the new relation.
Add any
attributes that may be connected to this relation.
• 1-M: Add the primary key of entity(1) as a foreign key in
entity(M).
• (exception: if entity(1) is optional use rule for M-N)
• 1-1: Add the primary key of one entity to the other as a
foreign key
(exception: If any entity is optional then add the primary key of
the
mandatory entity to the other. If both entities are optional use
rule for
M-N)
• is-a/a kind of (ako)/generalization: Add the primary key of the
super-class
entity to the sub-class entity.
Class Attributes
Pilots: Hours_flown
Crew: Empid, Empname, Emp_tele
Flights: Flight_no, Origin, Destination, Dep_time, Arr_time
Passengers: Pid, Pname, Ptele, Paddress
Assigned: Day-of-week
Appendix #3 – Converted Relational Model
Converted Relational Model
Pilots(Empid, Hours_flown)
Crew(Empid,Empname,Emp_tele)
Flights(Flight_no,Origin,Destination,Dep_time,Arr_time)
Passengers(Pid,Pname,Ptele,Paddress,Flight_no)
Assigned(Empid,Flight_no,Day-of-week)
– Primary Key
– Foreign Key
– Composite Key
Appendix #4 – UML Notation
Customer Oder-IsPlacedBy
1..1
-Places
1..*
A one-to-many relationship; One customer places many orders.
Oder
Product
OrderedProduct
1..*-IsOrderedOn
1..*-Orders
A many-to-many relationship; One order can order many
products.
Appendix #5 – Pine Valley Clinic
The Pine Valley Clinic has the following entities (shown
below). As manager of the clinic,
you need to query your database to determine certain trends and
relationships in
various patient health measures. The relational model for the
clinic lists all relevant
relationships. The primary key fields are denoted in bold
letters, and the foreign keys
are denoted in italics and underlined.
Patient_tbl(Patient_ID, Patient_First_Name,
Patient_Last_Name,
Patient_Address_Line_1, Patient_City, Patient_State,
Patient_Postal_Code)
Health_Measures_tbl(Health_Measure_ID,
Measure_Description, MeasureName,
Normal_Low_Range_Value, Normal_High_Range_Value,
Measure_Units)
Patient_Measurements_tbl(Patient_Measurement_Number,
Patient_ID,
Health_Measure_ID, Measurement_Date, Measured_Value)
Note that these relations do not need to be normalized any
further.
Appendix #6 – Data for Pine Valley Clinic
Tables
Table Name: Patient_tbl
Patient_ID Patient_First_Name Patient_Last_Name
Patient_Address City State Postal_Code
1001 Homer Simpson 1355 S. Hines Blvd. Gainesville FL 32601
1002 Bart Simpson 15145 S.W. 17th St. Plano TX 75094
1003 Marge Simpson 1900 Allard Ave. Albany NY 12209
1004 Elmer Fudd 1925 Beltline Rd. Carteret NJ 07008
1005 Porky Pig 5595 Westcott Ct. Sacramento CA 94206
1006 Buggs Bunny 325 Flatiron Dr. Boulder CO 80514
1007 Daffy Duck 394 Rainbow Dr. Seattle WA 97954
1008 Daise Duck 816 Peach Rd. Santa Clara CA 69615
1009 Mickey Mouse 66789 College Ave Carlisle PA 17013
1010 Minnie Mouse 4132 Main Street Ogden UT 84403
Table Name: Health_Measures_tbl
Health_
Measure_ID Description Units
Normal
Low
Normal
High
1 LDL Cholesterol mg/dL 40 130
2 HDL Cholesterol mg/dL 65 130
3 Heart Rate bpm 60 100
4 Blood Glucose mg/dL 70 120
5 Blood pressure-systolic mmHg 110 130
6 Blood pressure-diastolic mmHg 75 85
Table Name: Patient_Measurements_tbl
Patient_
Measurements
_Number Patient_ID Health_Measure_ID
Measurement
_Date Measured_Value
119101 1001 1 07/05/11:13:39 140
119102 1001 2 07/05/11:13:39 60
119103 1001 4 07/05/11:13:39 125
119104 1002 3 07/05/11:13:50 104
119105 1003 3 07/05/11:14:20 90
119106 1004 5 07/05/11:14:39 119
119107 1004 6 07/05/11:14:39 84
119108 1005 4 07/05/11:15:01 180
119109 1006 4 07/06/11:09:31 105
119110 1006 1 07/06/11:09:31 145
119111 1006 2 07/06/11:09:31 100
119112 1007 1 07/06/11:10:01 170
119113 1007 2 07/06/11: 10:01 60
119114 1008 3 07/06/11:10:28 66
119115 1008 4 07/06/11: 11:28 165
119116 1009 5 07/06/11: 11:28 95
119117 1009 6 07/06/11: 11:28 70
119118 1001 1 07/09/11:13:39 140
119119 1001 2 07/09/11:13:39 60
119120 1001 4 07/09/11:13:39 125
119121 1002 3 07/09/11:13:50 104
119122 1002 4 07/09/11:14:20 100
119123 1004 6 07/09/11:14:39 119
119124 1004 8 07/09/11:14:39 84
119125 1005 4 07/09/11:15:01 180
119126 1006 4 07/09/11:09:31 105
119127 1006 5 07/09/11:09:31 145
119128 1006 7 07/09/11:09:31 100
119129 1007 1 07/09/11:10:01 170
119130 1007 2 07/09/11: 10:01 60

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  • 1. Adler, P. S., Forbes, L. C., & Willmott, H. (2007). Critical management studies. The Academy of Management Annals, 1, 119–179. Retrieved from Business Source Complete. This chapter provides a comprehensive overview of critical management studies (CMS). It explores common themes of CMS as well as the progression of the movement and motivating factors for implementing the theory. •Baker, D. P., Thorne, S., Gamson, D., & Blair, C. (2006, August 11).Cognition, culture, and institutions: Affinities within the social construction of reality. Paper presented at the American Sociological Association Annual Conference in Montreal, Canada. This paper explores the social construction of reality (SCR) paradigm, including the history, growth, and key elements of the paradigm. •Harvey, M., & Buckley, M. R. (2002). Assessing the " conventional wisdoms" of management for the 21st century organization. Organizational Dynamics, 30(4), 368-378. Retrieved from Science Direct. This article discusses the usefulness of both conventional management theories and emerging management techniques. It addresses important factors of management, including time, globalization, and technology.
  • 2. •Parmar, B. L., Freeman, R. E, Harrison, J. S., Wicks, A. C., de Colle, S., & Purnell, L. (2010). Stakeholder theory: The state of the art [Abstract]. Cambridge, England: Cambridge University Press. Retrieved from http://www.esade.edu/itemsweb/content/produccion/4004901.pd f Submission Requirements Create a MS Word document that includes your responses to all questions. Also, submit your working MS Access Database for questions 7-8. 1. (3 points) Identify appropriate attributes for the following entities in the personal healthcare context. Show your attributes for the three entities using the format in Figure 7.4 of UML for DB Design. (Note: You can also create the entities in Visio using the UML Database Notation template and paste into your submission document.) The purpose of the data model is to capture all of the data needed for a person to measure and track their health over time. person that is a patient, e.g, contact information. It will include one instance for every person that is using the database to keep track of their health related
  • 3. data. measures that are available from the system. It will include one instance for each thing a patient can measure on their own, e.g., weight, heart rate, blood pressure. time a HealthMeasure is recorded for a patient. It will include many instances for each patient, e.g., one instance for each weight measurements recorded during a year, i.e., 52 instances if a person weighed weekly for one year. It will also include many instances for each instance of the HealthMeasure table, e.g., one instance for every time blood pressure was measured for a patient. Patient PatientID: Char (25)PK PatientFirstName:Varchar(25) PatientLastName:Varchar(25) Patient_DOB:Date 2. (3 points) Define the primary key for each of your
  • 4. entities/classes. To assign the primary key consider the rules for primary keys from the virtual lecture for assignment 1, most importantly that the attribute(s) must have a unique value for every instance of the entity/class. Indicate the primary keys using a PK notation. Define any foreign keys in your entities. 3. (3 points) Using UML DataBase Notation in Visio, create a diagram showing any relationships among your entities. (Use Figure 7.5 from UML for DB Design, appendix #1 and appendix #4 as examples of UML diagram notation). Paste this diagram into your submission document. 4. (3 points) Expand the UML diagram from question #3 by creating entities with attributes and keys (in the same format as question 1) that will allow a patient to keep track of any medications they take. Include at least two additional entities that you define/create to provide this capability. Note any assumptions. Extend the diagram you created in question 3. Paste this new diagram into your submission document. 5. (2 points) Convert the UML diagram (created in question #4) to a relational model. Note any assumptions. (Use appendix #2, #3 and #4 (below) as the
  • 5. basis of the expectation of the correct answer.) Relational model format is: RelationName (Key Attribute underlined, Foreign Key italics, Attribute1, Attribute2, etc.) 6. (3 points) Compare your relations to the tables presented in Appendix #6. Briefly (a paragraph or so) describe any differences you observe in your submission document. 7. (3 points) Create the tables from appendix #5 in Access. Insert the instances given in appendix #6 into these tables. Submit your Access Database to show completion of this question and question 8. 8. (5 points) Using the tables from question #7 write simple queries to show the following: a. List the description, units, normal low range value, normal high range value, and health measure ID for all measures in the health measures table. b. What is the average heart rate from the Patient_Measurements table? c. How many different Patient Measurements (count) were made
  • 6. for patient id 1001? d. Display the patient last name, first name, health measure description, date of the measurement, patient measurement value, and health measure units for any patients where their measure is greater than the high end of the normal range of the health measure. List these items for the patients alphabetically last name, then first name, then by measurement date. e. Create a SQL statement named Measure_Units_View that consists of Health_Measure_ID, health measure description, and units from the Health_Measures_tbl. Use the Measure_Units_View query to list the measures that have units = “mmhg”. Appendix #1 – Class diagram (created using UML notation) • Airline Database ER Model Pilot Crew Flight Passenger
  • 7. Booked 1..* -IsReservedBy 1..* -Reserves Assigned 1..* -AssignedTo 1..* -IsAssigned Appendix #2 – Rules for Converting E/R model to Relational Model • Converting ER Models to Relational • Entities: All entities are converted to relations using the identifier for the
  • 8. entity as the primary key. • Relationships: • M-N: Form a new relation with the primary keys of the related entity sets. These keys make up a composite key for the new relation. Add any attributes that may be connected to this relation. • 1-M: Add the primary key of entity(1) as a foreign key in entity(M). • (exception: if entity(1) is optional use rule for M-N) • 1-1: Add the primary key of one entity to the other as a foreign key (exception: If any entity is optional then add the primary key of the mandatory entity to the other. If both entities are optional use rule for M-N) • is-a/a kind of (ako)/generalization: Add the primary key of the super-class entity to the sub-class entity. Class Attributes Pilots: Hours_flown Crew: Empid, Empname, Emp_tele Flights: Flight_no, Origin, Destination, Dep_time, Arr_time Passengers: Pid, Pname, Ptele, Paddress
  • 9. Assigned: Day-of-week Appendix #3 – Converted Relational Model Converted Relational Model Pilots(Empid, Hours_flown) Crew(Empid,Empname,Emp_tele) Flights(Flight_no,Origin,Destination,Dep_time,Arr_time) Passengers(Pid,Pname,Ptele,Paddress,Flight_no) Assigned(Empid,Flight_no,Day-of-week) – Primary Key – Foreign Key – Composite Key Appendix #4 – UML Notation Customer Oder-IsPlacedBy 1..1 -Places 1..*
  • 10. A one-to-many relationship; One customer places many orders. Oder Product OrderedProduct 1..*-IsOrderedOn 1..*-Orders A many-to-many relationship; One order can order many products. Appendix #5 – Pine Valley Clinic The Pine Valley Clinic has the following entities (shown below). As manager of the clinic, you need to query your database to determine certain trends and relationships in various patient health measures. The relational model for the clinic lists all relevant relationships. The primary key fields are denoted in bold letters, and the foreign keys are denoted in italics and underlined. Patient_tbl(Patient_ID, Patient_First_Name,
  • 11. Patient_Last_Name, Patient_Address_Line_1, Patient_City, Patient_State, Patient_Postal_Code) Health_Measures_tbl(Health_Measure_ID, Measure_Description, MeasureName, Normal_Low_Range_Value, Normal_High_Range_Value, Measure_Units) Patient_Measurements_tbl(Patient_Measurement_Number, Patient_ID, Health_Measure_ID, Measurement_Date, Measured_Value) Note that these relations do not need to be normalized any further. Appendix #6 – Data for Pine Valley Clinic Tables Table Name: Patient_tbl Patient_ID Patient_First_Name Patient_Last_Name Patient_Address City State Postal_Code 1001 Homer Simpson 1355 S. Hines Blvd. Gainesville FL 32601 1002 Bart Simpson 15145 S.W. 17th St. Plano TX 75094 1003 Marge Simpson 1900 Allard Ave. Albany NY 12209
  • 12. 1004 Elmer Fudd 1925 Beltline Rd. Carteret NJ 07008 1005 Porky Pig 5595 Westcott Ct. Sacramento CA 94206 1006 Buggs Bunny 325 Flatiron Dr. Boulder CO 80514 1007 Daffy Duck 394 Rainbow Dr. Seattle WA 97954 1008 Daise Duck 816 Peach Rd. Santa Clara CA 69615 1009 Mickey Mouse 66789 College Ave Carlisle PA 17013 1010 Minnie Mouse 4132 Main Street Ogden UT 84403 Table Name: Health_Measures_tbl Health_ Measure_ID Description Units Normal Low Normal High 1 LDL Cholesterol mg/dL 40 130 2 HDL Cholesterol mg/dL 65 130 3 Heart Rate bpm 60 100 4 Blood Glucose mg/dL 70 120 5 Blood pressure-systolic mmHg 110 130 6 Blood pressure-diastolic mmHg 75 85
  • 13. Table Name: Patient_Measurements_tbl Patient_ Measurements _Number Patient_ID Health_Measure_ID Measurement _Date Measured_Value 119101 1001 1 07/05/11:13:39 140 119102 1001 2 07/05/11:13:39 60 119103 1001 4 07/05/11:13:39 125 119104 1002 3 07/05/11:13:50 104 119105 1003 3 07/05/11:14:20 90 119106 1004 5 07/05/11:14:39 119 119107 1004 6 07/05/11:14:39 84 119108 1005 4 07/05/11:15:01 180 119109 1006 4 07/06/11:09:31 105
  • 14. 119110 1006 1 07/06/11:09:31 145 119111 1006 2 07/06/11:09:31 100 119112 1007 1 07/06/11:10:01 170 119113 1007 2 07/06/11: 10:01 60 119114 1008 3 07/06/11:10:28 66 119115 1008 4 07/06/11: 11:28 165 119116 1009 5 07/06/11: 11:28 95 119117 1009 6 07/06/11: 11:28 70 119118 1001 1 07/09/11:13:39 140 119119 1001 2 07/09/11:13:39 60 119120 1001 4 07/09/11:13:39 125 119121 1002 3 07/09/11:13:50 104 119122 1002 4 07/09/11:14:20 100 119123 1004 6 07/09/11:14:39 119 119124 1004 8 07/09/11:14:39 84 119125 1005 4 07/09/11:15:01 180 119126 1006 4 07/09/11:09:31 105 119127 1006 5 07/09/11:09:31 145
  • 15. 119128 1006 7 07/09/11:09:31 100 119129 1007 1 07/09/11:10:01 170 119130 1007 2 07/09/11: 10:01 60