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CA 1 case studies

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LOVELY PROFESSIONAL UNIVERSITY
AT01 - Case Based Group Presentation
Mittal School of Business
Faculty member: Ravinderjit Singh
Course No. MGNM575
DEPARTMENT OF MANAGEMENT
Course Title: EMERGING TECHNOLOGIES FOR MANAGERS
Section: Q2109
Max. Marks: 30
Date of Allotment: 26th August, 2023
Date of Submission: 5th September, 2023 submission of PPT online through UMS. Presentations will be held as per the scheduled date (refer the schedule)
Objective
The topic of the Academic task
Evaluation Mode
To test the students
analytical and
presentation skills
Students (in groups of 6) have been
allocated case studies on business
application of different Emerging
Technologies and related Dilemmas.
Students will prepare an analysis covering
the following parameters and will present
in the class during the tutorials. (Refer the
next page for group-wise presentation
schedule and Case allocation).
Note: Students have to ensure equal
participation. The students should focus on
solving the issue discussed in the case and
practical solutions will be appreciated.
Evaluation is based on rubrics given below.
Evaluation Parameters:
Content (20 Marks) Group
presentation peer rating will be
applicable:
• Identification of the Main
Issues/Problems (2 marks),
• Analysis of the Issues (5 marks),
• Comments on effective
solutions/strategies (10 marks),
• Links to Course Readings and
Additional Research (3 marks)
• Presentation (10 marks)
Nature of
academic
task (Group/
individual/
field work)
Group
Course
Outcom
es
CO1,
CO2,
CO3,
CO4
Important Notes:
1. For contents group marks will be awarded and then peer rating will be taken to award individual marks.
2. For Presentation individual marks will be given.
Date:
Sign. of Faculty member
Remarks by HOD (Mandatory)
Sig. of HOD with date
Remarks by HOS (Mandatory)
Sig. of HOS with date
Bloom
Taxonom
y Level of
attainmen
t
L2, L3,
L4, L5,
and L6
Allotm
ent/
Submi
ssion
week
2/5
Presentation schedule and cases allocation details. (Download the cases from LPU Live class group).
Group No
RegnNumber
Name
Group Presentation
Date
Case
Group 1
12103013
12103337
12100864
12101167
12103616
12100539
Sagar Kumar
Khushi Bansal
Vansh Kashyap
Shikha Mishra
Shreya Simran
Adeeb Aslam
6th September
Group 01 - El Ordeno Implementing Blockchain
Group 2
12100301
12101201
12103617
12006701
12100733
12100727
Alangkrit Mitra
Aman Saw
Anubhav Singh
Kanak
Prakash Kumar Chaudhary
Naveen Kumar Raj
6th September
Group 02 - People Development Institute
Selecting a digital badging platform
Group 3
12100529
12102342
12101248
12100382
12109383
12103538
S Shaira
Khushbu Dey
Tanya Arora
Akhila Prakash
Allen C Saviour
Muhammad Zain
13th September
Group 03 - Will a Bank's New Technology Help
or Hurt Morale
Group 4
12101162
12103177
12109057
12102920
12103750
12111827
Isha Kulshreshtha
Siddhi Nanabhau Nerkar
Sajal Aggarwal
Sahil Raj Solanki
Khushi Garg
Harshit Tanwar
13th September
Group 04 - Open Innovation at Fujitsu
Group 5
12107815 Dorge Yash Baban
12101980 Yash Krishnamurti
12102748 Ishita khatri
20th September
Group 05 - PharmaCo
12106700 Ayush Rana
12108233 Suhaan Simran
12110820 Sanidhya Kumar
Group 6
12103897
12103884
12109457
12110264
12109685
12103552
Gurlal Kantor
Gurkaran Arora
Sanskriti Soni
Nadeem bashir
Uday Raj
Suhaib Rashid
20th September
Group 06 - Facebook Managing User-Generated
Content
Group 7
12113990
12101373
12100842
12103138
12103918
12102995
Virat Chaudhary
Vishesh Kapur
Kartik Bajaj
Ayush Arohan Senapati
Gogula Prabhas
Lucky Patel
27th September
Group 07 - Uber Africa Making Cash and
Alternative Payments Work in Kenya through
Contextual Leadership
Group 8
12102665
12102513
12102980
12109037
12108994
12103576
Vishal kumar
Anand Kumar
Simrandeep Singh
Raabet Areeb Siddiqui
Azim Khan
Vipinjot Singh
27th September
Group 08 - Evie.ai The Rise of Artificial
Intelligence, and the Future of Work
Group 9
12100460
12101160
12103676
12103178
12100431
12104938
Ishika Mehrotra
Sugam Wadhwa
Udit Rana
Rohit Kumar
Omkar Rawat
Manvendra singh
4th October
Group 09 - Harvest City The Intelligent
Procurement System Project
Group 10
12103942
12100508
12100515
12100992
Pritam Kumar Das
Yannam Swathi
Aarya Shree
Saurabh Kumar
4th October
Group 10 - Evaluating the Cognitive Analytics
Frontier
12101055 Pentareddy Mary Mahitha Reddy
12101252 Apurva Anand
Group 11
12102900
12103090
12109952
12103686
12100448
12102997
12014489
Shuvankar Pal
P K Davna
K R Kartik
Praveen Patel
Hridayansh Sharma
Soumyadip Mondal
Mrityunjay Kumar
11th October
Group 11 - The Phoenix Project Remediation of
a Cybersecurity Crisis at the University of
Virginia
MGN575 CA01 Case Based Presentation Rubric
1. CONTENT
Parameters
Marks
Excellent (80%-100%)
Identification of the
Main
Issues/Problems
2
Identifies & understands
all of the main issues in the
case study
Analysis of the
Issues
5
Insightful and thorough
analysis of all the issues
Comments on
effective
solutions/strategies
(The solution may
be in the case
already or proposed
by you)
10
Well documented,
Reasoned and pedagogically
appropriate comments on
solutions, or proposals
for solutions, to all
issues in the case study
Links to Course
Readings and
Additional Research
3
Excellent research into
the issues with clearly
documented links to
class(and/or outside)
readings
Good (60% to
80%)
Identifies and
Understands most
of the main issues
in the case study
Fair (40% to
60%)
Identifies and
Understands some
of the issues in the
case study
Thorough analysis Superficial analysis
of most of the issues
of
some of the
issues in the
case
Appropriate, well
Thought out
comments about
solutions, or
proposals for
solutions, to most
of the issues in the
case study
Good research and
Documented
links to the
material read
Poor (0 to 40%)
Identifies and
understands few of the
issues in case study
Incomplete analysis of
the issues
Superficial and/or
Little or no action
inappropriate
suggested, and/or
solutions to some inappropriate solutions to all
of the issues
of the issues in the case
in the case study
study
Limited research
and
Documented
links to any
readings
Incomplete research and
Links to any readings
2. PRESENTATION
Parameters
Delivery and
Enthusiasm
Marks
Excellent
2
Very clear and concise
Flow of ideas. Demonstrates
passionate interest in the topic and
engagement with the class.
Good
Clear flow of ideas
Demonstrates interest in topic and
engagement with the class.
Fair
Most ideas flow but focus is lost at
times
Limited evidence of interest in and
engagement with the topic
Poor
Hard to follow the flow
Of ideas. Lack of enthusiasm
and interest.
Visuals
2
Visuals augmented and extended
comprehension of the issue sin
unique ways
Use of visuals related to the material
Limited use of visuals loosely
related to the
material
No use of visuals.
Staging
2
Uses stage effects, such as props,
costumes, sound effects, in a unique
and dramatic manner that enhances
the understanding of the issues in
the case study
Uses stage effects, such as props,
costumes, sound effects, in an
effective manner to extend
understanding of
the issues in the case study
Limited use of stage effects, and/or
used in a manner that did not
enhance the understanding of the
Issues in the case study.
No use of stage effects
Involvement of
the class:
-Questions
-Generating
discussion
-Activities
2
Excellent and salient discussion
points that elucidated material to
develop deep understanding
Questions and discussion
addressed important information
that developed understanding
Questions and discussion
addressed surface features of the
topic
Little or no attempt to
engage the class in learning.
Appropriate and imaginative
activities used to extend
understanding in a creative
manner.
Appropriate activities used to
clarify understanding.
Limited use of activities to clarify
understanding.
Response to Class
Queries
2
Excellent response to
student comments and discussion
with appropriate content
supported by theory/research
Good response to class
questions and discussion with
some connection made to
theory/research
Satisfactory response to
class questions and discussion with
limited reference to theory and
research
Limited response to
questions and discussion
with no reference to
theory/research
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