online master in technology management la salle campus barcelona

Online Master of Science in Technology Management and Digital Innovation

Lead Information and Communication Technologies management and be a pioneer of the digital and innovation transformation amidst technological revolution. The program that trains CIOs: 3rd Best Master´s in Spain

Innovation Management

Description
Innovation is today a basic process to manage in companies, which must ensure the day-to-day management mechanisms (quality, efficiency, customer service) and combine them with the implementation of a medium-term vision (what we want to do, what we can do). In this course the student will learn through exercises and dynamics how people and teams can develop their skills in companies to generate customer value. The different solutions that companies around the world have applied to innovate in different ways and in all parts of the company will be analyzed. For this, it is necessary for the company to define its own model of what it has to innovate and how to organize itself for this purpose. During the sessions the following competencies are worked on: creativity, results orientation, flexibility and adaptability.
Type Subject
Primer - Obligatoria
Semester
Second
Course
1
Credits
5.00
Previous Knowledge
Objectives

At the end of the course the student should be able to:
- Know how to define the main concepts related to knowledge generation, research, development and innovation.
- Learn to discriminate between the different types of innovation.
- Understand the objectives of innovation in the company and the need to have a balanced process.
- To understand the need to change in order to adapt the company to the environment, and to learn how to implement innovation projects in organizations.
- To understand the role of technology in innovation processes.
- To analyze the behavior, attitudes and capabilities of people who innovate.
- To know how to apply methodology to move from the challenge to the idea, testing its viability.

Contents

- Session 1: Let's talk about innovation
- Session 2: Teams and people
- Session 3: Differentiation
- Session 4: Technology and Innovation
- Session 5: Companies that innovate
- Session 6: Structuring innovation
- Session 7: Organizing to innovate
- Session 8: Innovative culture

Methodology

Online modality:

The teaching methodology used in the online modality is based on a proprietary methodology developed by La Salle URL called SDBL (Self Directed Based Learning). SDBL is an active methodology based on situational learning and self-directed learning. With situational learning, the student is taught, through challenges, to address real problems and situations of the company with which he/she can consolidate the new knowledge acquired. With self-directed learning, the student decides how to advance in their training based on their previous experience.

On a weekly basis, the LMS (Learning Management System) platform releases the content of a new topic. The way the week works is as follows:

- Synchronous kick-off session:
o The teacher gives an overview of the contents and tasks that the student will encounter during the week. The objective of this meeting is to try to discover and reveal on a personal level which aspects of the week's topics may be more difficult for the individual student.
o The teacher solves possible doubts of the students about the previous week's topic.
- Between synchronous connections:
o The student visualizes the content of the sessions and develops the tasks given to him/her about the week's topic to consolidate knowledge and identify doubts.
- Synchronous check point session:
o The teacher solves any doubts the students may have about the contents of the current week.
o The teacher presents additional content or case studies that are of interest to the students.
o The teacher generates debate and discussion among the students about the contents of the week in course with the objective of helping the students in their assimilation, therefore, improving their learning.
o The teacher provides oral feedback on the deliverables recorded by the students in the previous week's feedback well, emphasizing the difficulties and errors encountered. This instance is for feedback only and not for grading. The feedback wells are an instrument for the students to validate with the mentor, in general terms, the resolution of the tasks set. In this way, the feedback wells are created to give the mentee an opportunity to test the answers with the mentor. From the feedback provided by the mentor, the student will be able to finish developing the task and present it as a final deliverable, with the advantage of having had previous advice from the teacher.
- Rest of the week. The objective is to finish the development of the tasks of the current week based on the clarifications received in the synchronous check point session to overcome the exercises, tasks and/or deliverables of the topic. It is worth mentioning that most of the time dedicated during this last part of the week should be spent on solving the tasks and deliverables, rather than on assimilating content (an aspect that should have been resolved between the kick-off and check point sessions).

The LMS platform opens the content gradually (week by week) so that the whole group follows the same academic path. In other words, the sequential opening of topics is done so that all students in the program are working on the same subjects simultaneously.

On-site modality:

Prior to the beginning of the class, the student must read/view/listen to the academic material recommended by the professor, as well as solve the case study or exercises assigned. Classes will be based on the discussion of multiple case studies that will be associated to theoretical models of innovation.
The training activities carried out, with the corresponding distribution of the workload, are as follows:

Training activities: Lectures/ Exercises and examples/ Seminars.
Teaching methodologies: Theory
Distribution: 30%.

Training activities: Case discussions/ Debate forums/ Workshops
Teaching methodologies: Case-based learning.
Distribution: 30%.

Training Activities: Personal, individual or group work.
Teaching methodologies: Learning based on content development.
Distribution: 40%.

Evaluation

Online modality:

The evaluation of the course will be based on the individual performance of the student and the grade obtained for the group work, according to the following distribution:

- 40%: Resolution of cases proposed in class, in small teams or individually.
- 20%: Individual contributions and participation in classes and in the virtual platform.
- 40%: Personal interview. Individual presentation of team work.

On-site modality:

The evaluation of the course will be based on the individual performance of the student and the grade obtained for the group work, according to the following distribution:
A. 20%: Resolution of cases proposed in class, in small teams or individually.
B. 20%: Contributions and participation in classes and in the virtual platform.
C. 40%: Submission of assignments and exercises.
D. 20%: Knowledge test.

In both cases:

Demonstrate academic integrity in the totality of their work.

If the student is caught cheating in any type of exam, plagiarizing or rewriting exercises, activities, homework, presentations or delivering a team work in which he/she has not collaborated, it will be considered fraud, penalizing the final grade of the course or even being considered as not delivered.

The student and the group must ensure that the work they submit is their own. The student is responsible for citing all sources relied upon in their submissions, using quotation marks when language is taken directly from other sources.

Use of Artificial Intelligence tools

Artificial intelligence (AI) can help in the learning process, but its use must be acknowledged. If you have used any AI tools, include a paragraph at the end of any assignment that uses AI explaining what you used the AI for and what prompts you used to obtain the results. Failure to do so will be considered as an action that tends to falsify or defraud the academic evaluation systems and, therefore, the copying policy of La Salle Campus Barcelona - Copying Policy | La Salle | Campus Barcelona (salleurl.edu) will be applied.

In those subjects or teaching activities in which the academic guide indicates the prohibition of using AI tools, the use of these tools by students will be considered fraud and will entail the application of the copying policy of La Salle Campus Barcelona.

Evaluation Criteria

Online modality:

The following list is made up of the evaluation criteria for the subject deliverables:

- The format is excellent and makes it easy to interpret the key points.
- Delivered on time
- Assignment is completed in a timely manner
- Seamless classifications, aligned and consistent with concepts seen in class
- Seamless explanations, aligned and consistent with concepts seen in class.
- Concise and accurate descriptions

On-site modality:

- In the resolution of exercises and course work the criteria to be taken into account are:
- Understanding of the situation posed
- Definition and analysis of the problems posed by the case.
- Recording of the main issues
- Proposed solutions
- Realism and appropriateness of the proposed solution(s)
- Argumentation in defense of the proposed solution(s)
- Strengths and benefits of the proposed solution(s)
- Implications of the proposal(s) (economic and management)

Basic Bibliography
Additional Material

• Pasión por innovar. FRANC PONTI, XAVIER FERRAS, GRANICA, 2006.
• La Estrategia del Océano Azul. W. CHAN KIM, VERTICALES DE BOLSILLO, 2008.
• Las diez caras de la innovación. TOM KELLEY - JONATHAN LITTMAN. PAIDOS
• Alfons Cornella, (2019), Cómo innovar sin ser Google.
• Jordi Mané, (2020), Océano Azul, ¿Nadas en un mar rojo, o has descubierto tu océano azul?

• Xavier Marcet, (2021), Crecer haciendo crecer. El secreto de las empresas consistentes.

List of Professors
Ignasi Villalobos Motlló