IDENTIFYING DATA 2023_24
Subject (*) BUSINESS DECISION TECHNIQUES Code 16214112
Study programme
Bachelor's Degree in Business Administration and Management (2009)
Cycle 1st
Descriptors Credits Type Year Period
6 Compulsory Fourth 2Q
Language
Català
Department Business Management
Coordinator
MOLL GARCIA, DANIEL
NIÑEROLA MONSERRAT, ANGELS
FONTS RIBAS, ALBERT
E-mail albert.fonts@urv.cat
daniel.moll@urv.cat
angels.ninerola@urv.cat
Lecturers
FONTS RIBAS, ALBERT
MOLL GARCIA, DANIEL
NIÑEROLA MONSERRAT, ANGELS
Web
General description and relevant information <div><b>DESCRIPCIÓN GENERAL DE LA ASIGNATURA:</b></div><div><div><br /></div><div>This course aims at orienting students, from a practical approach, towards techniques for supporting decision-making , in order to face the current organizational context.</div><div><br /></div><div><br /></div><div><br /></div> </div>

Competences
Type A Code Competences Specific
 A4 Understand the nature of companies or other private or public institutions and how they work. They are also familiar with their functional areas, and understand their competitive and institutional field and strategic dimension.
 A6 Draw up projects about overall management or the functional areas of a company that reflect their ability to identify and carry out business initiatives.
Type B Code Competences Transversal
 B1 Learning to learn
Type C Code Competences Nuclear
 C3 Be able to manage information and knowledge

Learning outcomes
Type A Code Learning outcomes
 A4 Take coherent and correct decisions using information about a company and its competitors.
Be able to analyse the effects of different decisions.
 A6 Describe the most appropriate decision making techniques for each type of problem in each area of operation, or a company as a whole.
Appropriately manage team decision taking.
Type B Code Learning outcomes
 B1 Put into practice the approaches, methods and experiments put forward by the teaching staff in a disciplined fashion.
Adapt the learning objectives put forward by the teaching staff.
Have an overview of the various theories and methodologies of a subject.
Type C Code Learning outcomes
 C3 Locate and access information effectively and efficiently.
Critically evaluate information and its sources, and add it to their own knowledge base and system of values.

Contents
Topic Sub-topic
Part I: BASIC FOUNDATIONS FOR DECISION-MAKING
1. Conceptual framework 1.1. Decision-making concepts and definitions
1.2. Types of decisions
1.3. The decision-making process
1.4. Corporate information systems
1.5. Decision-making within teams
2. Decision-making models 2.1. Decision-making models
2.2. Bounded rationality and information asymmetries
2.3. The decision array: Decision-making in certain, risky and uncertain environments
2.4. Adding information in the decision-making process

Part II: DECISION-MAKING TECHNIQUES
Tema 3. Decision-making in companies I 3.1. Sequential and multi criteria decisions
3.2. Electra I i II
3.3. Decision-making with graph support: Pattern
3.4. Decision-making with graph support: CPE

Tema 4. Decision-making in companies II 4.1. Project management
4.2. Waiting queue theory
4.3. Stocks management

Planning
Methodologies  ::  Tests
  Competences (*) Class hours
Hours outside the classroom
(**) Total hours
Introductory activities
2 2 4
Lecture
A4
B1
20 36 56
Problem solving, exercises in the classroom
A6
C3
30 50 80
Personal attention
B1
2 0 2
 
Multiple-choice objective tests
A4
A6
B1
C3
2 0 2
Practical tests
A4
A6
B1
C3
2 0 2
Practical tests
A4
A6
B1
C3
2 0 2
Mixed tests
A4
A6
B1
C3
2 0 2
 
(*) On e-learning, hours of virtual attendance of the teacher.
(**) The information in the planning table is for guidance only and does not take into account the heterogeneity of the students.

Methodologies
Methodologies
  Description
Introductory activities Introduction of the course, assessment, learning outcomes, contents, methodologies and planning
Lecture Theoretical development about the main decision-making techniques
Problem solving, exercises in the classroom Practical exercices on decision-making applied to companies
Personal attention Solving doubts of students

Personalized attention
Description

The professors of the course will offer the students a weekly attention schedule, to resolve doubts related to the development and learning of the course.

Secondly, the Moodle Virtual Campus Doubts Forum will be available, also to share doubts and clarifications.

Finally, students will be able to contact professors through the URV email


Assessment
Methodologies Competences Description Weight        
Mixed tests
A4
A6
B1
C3
Final exam of theoretical and practical contents 60%
Multiple-choice objective tests
A4
A6
B1
C3
Test on Themes 1 and 2 10%
Practical tests
A4
A6
B1
C3
Practical exercises on Theme 3 15%
Practical tests
A4
A6
B1
C3
Practical exercises on Theme 4 15%
Others  
 
Other comments and second exam session

In the second call, the final grade will be the maximum that results between:

(A) Grade obtained in the continuous assessment tests carried out during the course (40%) and the grade obtained in the final test of the second call (60%).

(B) Qualification obtained in the final test of the second call (100%).

In case of not carrying out the continuous evaluation, the evaluation in the second call will be only through the final exam, which will have a weight in the final grade of 100%.

The student who does not take the final exam will obtain a grade of Not Presented.

The use of electronic communication and data transmission devices will not be allowed during the tests.


Sources of information

Basic
Basic references:
  • Córdoba Bueno, M. (2004), Metodología para la Toma de Decisiones, Madrid: Delta.
  • Díez de Castro, J., Redondo López, C. (1996), Administración de Empresas, Madrid: Pirámide.
  • Leon, O.G. (1994), Análisis de Decisiones. Madrid: McGraw-Hill.
  • Miranda, F.J., Rubio, S., Chamorro, A. BAñegil, T.M. (2005), Manual de Dirección de Operaciones. Madrid: Thomson.
  • Chase, R.B., Jacobs, R., Aquilano, N.J. (2005), Administración de la Producción y Operaciones para una ventaja competitiva. Madrid: Mc Graw and Hill. 
Complementary

Bibliografia complementària:

  • Hammond, J.S., Keeney, R.L., Rafia, H. (2000), Decisiones Inteligentes, Barcelona: Gestión 2000.
  • León, O.G. (2007), Tomar Decisiones Difíciles, Madrid: McGraw-Hill.
  • Rajagolapan, N., Rasheed, A.M.A., Datta, D. (1993), “Strategic decision processes: Critical review and future directions”, Journal of Management, Vol. 19: 349-384.
  • Schwenk, C. (1995), “Strategic decision making”, Journal of Management, Vol. 21: 471-493.
  • Weill, P., Aral, S. (2007), “Cómo mejorar el rendimiento de las inversiones en TI”, Harvard Deusto Business Review, Vol. 154: 14-28.
  • Ballou, R.H. (2004), Logística. Administración de la cadena de suministro. Ed. Prentice Hall - Pearson.
  • Krajewski, L.,Ritzman, L., Malhotra, M. (2008), Administración de operaciones. Procesos y cadenas de valor. Ed. Prentice Hall - Pearson.
Recommendations


Subjects that it is recommended to have taken before
OPERATIONS MANAGEMENT/16214108
(*)The teaching guide is the document in which the URV publishes the information about all its courses. It is a public document and cannot be modified. Only in exceptional cases can it be revised by the competent agent or duly revised so that it is in line with current legislation.