T-Shaped Competencies in Academic and IT Service Synergies
Zuzana Schwarzov
´
a, Leonard Walletzk
´
y, Patrik Proch
´
azka, Kl
´
ara Kub
´
ı
ˇ
ckov
´
a and Janka Marschalkov
´
a
Faculty of Informatics, Masaryk University, Brno, Czech Republic
{433529, 133, 418277, 492710, 493097}@muni.cz
Keywords:
T-Shaped Professional, Education Models, Multidisciplinary, Interdisciplinary.
Abstract:
In the 21st century, education and business face increasingly complex challenges that require multidisciplinary
approaches. This paper explores the concept of T-shaped competencies, which combine deep knowledge in
one domain with a broad range of skills across other areas. By examining case studies from both academia and
business, the paper highlights the importance of multidisciplinary education and collaboration in fostering in-
novation and competitive advantage. The findings emphasize the need for continuous adaptation of knowledge
and skills, as well as the potential impact of AI tools on multidisciplinary competencies. The paper concludes
that a synergistic relationship between academia and business is essential for addressing complex problems
and driving value co-creation.
1 INTRODUCTION
In the 21st century, education faces increasingly com-
plex problems that cannot be addressed by a single
discipline alone. The traditional approach of focus-
ing on one area of expertise is no longer sufficient to
tackle the multifaceted challenges of today’s world.
As highlighted by Kunze, Stadler, and Greiff (Kunze
et al., 2023), complex problem-solving is a crucial
skill for the 21st century, requiring a multidisciplinary
approach to education. Multidisciplinary teams have
become essential for success in service design. These
teams bring together diverse expertise, enabling inno-
vative solutions and fostering service innovation. Ac-
cording to Joly et al. (Joly et al., 2019), leveraging a
multidisciplinary approach in service design is key to
creating new forms of value co-creation.
However, achieving a common understanding
within such teams remains a core challenge. The solu-
tion lies in multidisciplinary education, which equips
individuals with the skills to collaborate effectively
across different fields. This approach is equally ap-
plicable to academic research, where interdisciplinary
collaboration can lead to groundbreaking discoveries.
In the business world, service provision increas-
ingly relies on multidisciplinary knowledge. Under-
standing how this approach is perceived and imple-
mented in business is crucial for fostering innovation
and competitiveness. Mirafzal et al. (Mirafzal et al.,
2023) emphasize the importance of knowledge man-
agement in multidisciplinary service design organiza-
tions, highlighting the role of diverse expertise in im-
proving performance. Spohrer and Maglio (Spohrer
et al., 2007) also discuss the importance of service
systems and the role of multidisciplinary teams in
driving innovation and value co-creation.
The aim of this paper is to present both academic
and business perspectives on multidisciplinary ap-
proaches. By showcasing case studies from both do-
mains, we aim to illustrate the benefits and challenges
of fostering multidisciplinary competencies in educa-
tion, research, and business.
2 MULTIDISCIPLINARY AND
INTERDISCIPLINARY
The terms ”multidisciplinary” and ”interdisciplinary”
have distinct meanings. Multidisciplinary approaches
involve multiple disciplines working together on a
common project, each retaining its methodologies
and perspectives. For example, a healthcare team
might include doctors, nurses, and social workers,
each contributing their expertise without blending
methods.
In contrast, interdisciplinary approaches integrate
knowledge and methods from different disciplines to
create a unified approach. For instance, an interdis-
ciplinary research project might combine psychology,
sociology, and neuroscience to study human behavior,
with researchers actively integrating their approaches.
Schwarzová, Z., Walletzký, L., Procházka, P., Kubí
ˇ
cková, K. and Marschalková, J.
T-Shaped Competencies in Academic and IT Service Synergies.
DOI: 10.5220/0013288400003932
Paper published under CC license (CC BY-NC-ND 4.0)
In Proceedings of the 17th International Conference on Computer Supported Education (CSEDU 2025) - Volume 2, pages 729-736
ISBN: 978-989-758-746-7; ISSN: 2184-5026
Proceedings Copyright © 2025 by SCITEPRESS – Science and Technology Publications, Lda.
729
In summary, multidisciplinary work involves par-
allel contributions from different disciplines, while
interdisciplinary work integrates knowledge and
methods to create a cohesive approach. Both have
their merits, with interdisciplinary work often seen as
more effective for complex problems, while multidis-
ciplinary work offers flexibility.
3 TYPES OF KNOWLEDGE
STRUCTURES
Professionals can be categorized into knowledge
structures based on depth and breadth of their com-
petencies, skills and knowledge. These knowledge
structures, or knowledge profiles, are represented by
different shapes (Fig. 1) with the most common be-
ing I-shaped, Dash-shaped, H-shaped, M-shaped and
T-shaped profiles (Demirkan and Spohrer, 2015):
I-shaped: professionals possess deep knowledge
in one domain, excelling in their field but often
lacking interdisciplinary cooperation and commu-
nication (Saukkonen and Kreus, 2022), which can
be a disadvantage in modern challenges (Bierema,
2019).
Dash-shaped: individuals, represented by a hor-
izontal line, have broad competencies across do-
mains but lack deep expertise, which benefits in-
terdisciplinary collaborations (Ninan et al., 2022).
H-shaped: professionals have deep knowledge
in two domains, represented by two vertical lines
connected by a horizontal line, symbolizing their
ability to integrate both of these areas into their
professional work (Saukkonen and Kreus, 2022).
Their dual expertise limits expansion into other
domains (Ninan et al., 2022).
M-shaped (comb-shaped): individuals have ex-
pertise in multiple domains, represented by mul-
tiple vertical lines, though their knowledge is less
in-depth compared to I-shaped or H-shaped pro-
fessionals (Ninan et al., 2022).
T-shaped: professionals combine the strengths
of dash-shaped and I-shaped profiles, with deep
knowledge in one domain and interdisciplinary
overlaps into secondary domains (Ninan et al.,
2022).
4 T-SHAPED PROFILE
The term ’T-shape’ can be traced back to 1991, when
Guest (Guest, 1991) described the need for a ’renais-
sance man’, that would combine IT skills with busi-
ness expertise (Conley et al., 2017). Amber (Amber,
2000) expanded this idea, calling for T-shaped indi-
viduals with deep expertise in one area and the abil-
ity to extend into unknown fields, enabling them to
solve multidisciplinary problems. Tim Brown, CEO
of IDEO, later popularized the term (Brown, 2010).
The detailed design for this knowledge profile has
been adjusted by multiple researchers (Barile et al.,
2014; Saviano et al., 2016; Gardner, 2017; Saukko-
nen and Kreus, 2022), leading to a mostly unified de-
sign presented in Figure 2. The skills in the horizon-
tal part of the T can depend on interpretation, how-
ever they usually enable the person to collaborate with
professional from another domain without difficulties.
These skills can include project management, com-
munication and soft skills, creative thinking, team-
work, and they can be also from other scientific or
engineering disciplines, such as statistics, economics,
arts, etc. However, the breadth of these skills does not
match the depth of expertise found in the vertical bar
(Kruusmaa, 2017).
4.1 Academia Perspective
Social and economic changes, like globalization, have
led to specialized roles and educational paths. While
specialized knowledge addresses specific problems,
these models struggle with modern challenges due
to overlapping dimensions and rapid changes (Sa-
viano et al., 2016). Educating students with a mul-
tidisciplinary focus is key for future organizations.
However, the current educational system still empha-
sizes single-domain expertise, creating I-shaped pro-
fessionals (Demirkan and Spohrer, 2018).
4.1.1 Adapting T-Shape into Curriculum
The research results of universities introducing T-
shape into their educational curriculum show that be-
ing a T-shaped professional can prove beneficial in
various domains.
The University of Southern California identified
weaknesses in their I-shaped software engineering
master’s students, recognizing the need for multidis-
ciplinary thinking. They adapted their courses to sup-
port the development of T-shaped professionals by
having students work on real-life service development
projects, engaging with the entire service design pro-
cess from client negotiation to maintenance planning
(Boehm and Mobasser, 2015).
Tallinn University of Technology highlights the
need for T-shaped professionals in the mining sector,
emphasizing the importance of developing these skills
CSEDU 2025 - 17th International Conference on Computer Supported Education
730
Figure 1: I-Shaped, Dash-shaped, H-shaped, M-shaped and T-shaped profiles. Adapted from: (Ninan et al., 2022).
Figure 2: Detailed design of the T-shaped knowledge archi-
tecture. Redrawn from: (Freund et al., 2024).
in master’s students and creating suitable work envi-
ronments to retain them (Robam et al., 2023).
The use of interactive models based on real data
has been shown to enhance T-shaped skills in hydrol-
ogy students at a US community college. Students
using real data in seminars demonstrated a better un-
derstanding of the hydrological domain, the role of
hydrology specialists, and the field’s impact on so-
ciety (Sanchez et al., 2016). Similarly, the Institute
for Water Education in Delft, Netherlands, proposed
incorporating T-shaped learning into their master’s
programs to foster effective teamwork. This would
involve students working on real-world problems in
various roles, including fieldwork and discussions
with professionals, with assessments designed to fur-
ther enhance different competencies (Uhlenbrook and
Jong, 2012).
The presented cases on modifying university cur-
ricula to foster T-shaped graduates highlight the im-
portance of integrating real-world examples into aca-
demic experiences. Collaborations between students
and industry partners extend professional roles be-
yond domain-specific expertise, aiding in the cultiva-
tion of essential skills for addressing complex, multi-
disciplinary problems. Exposure to real-world prob-
lems enhances students’ capacity to manage com-
plexity and contradiction, fostering leadership skills
(Tranquillo, 2017).
4.1.2 T-Shaped Researchers
The examples of adapting the universities’ educa-
tional practices can lead to a conclusion that by fos-
tering T-shaped skills at the undergraduate levels, the
doctoral students and academic researchers in the fu-
ture will be not only experts in their domain but pro-
ficient multidisciplinary collaborators as well. How-
ever, there is a gap in researching the T-shaped skills
in academic research and a further exploration is still
needed (Walletzk
´
y et al., 2024).
4.2 Business Perspective
In the business context, T-shaped professionals are
valued for their ability to drive innovation and en-
hance organizational resilience by combining deep
expertise in a core domain with broad, adaptable
knowledge. Their effective collaboration across busi-
ness functions fosters a responsive environment that
aligns with changing market demands and supports
long-term competitiveness.
4.2.1 The Role of T-Shaped Professionals in
Business Transformation
One of the most compelling applications of T-shaped
professionals is within digital and/or AI transforma-
tion, balancing specialized technical skills with ef-
fective communication across teams and disciplines
(Demirkan and Spohrer, 2018). They excel in envi-
ronments requiring flexibility, critical thinking, and
lifelong learning, crucial for adapting to technologi-
cal advancements (Bierema, 2019).
By facilitating a holistic view of customer ex-
periences, T-shaped professionals enable organiza-
tions to move beyond product innovation towards in-
tegrated service solutions, where technology is an en-
abler rather than the focus. The shift towards a ser-
vice focus requires changes in mindsets and behav-
iors. T-shaped professionals facilitate this by adopt-
ing an integrated perspective, moving organizations
T-Shaped Competencies in Academic and IT Service Synergies
731
beyond product innovation to innovative service so-
lutions that cater to customer and stakeholder needs
(Demirkan and Spohrer, 2015).
In essence, T-shaped professionals provide the
adaptable, interdisciplinary skills that are essential for
navigating the complexities of service-oriented inno-
vation. Their ability to integrate technical proficiency
with a deep understanding of human-centered needs
empowers organizations to create more meaningful,
sustainable solutions that align with evolving cus-
tomer and market demands. T-shaped professionals
contribute to dynamic capabilities by bringing cross-
functional knowledge and collaborative skills, vital
for sustaining competitive advantage (Barile et al.,
2014). Their effective communication supports in-
terorganizational learning, enabling businesses to de-
velop new strategies and adapt to emerging trends
(Saviano and Barile, 2013).
For example, in fields requiring project manage-
ment and cross-functional teamwork, such as in-
frastructure development, the versatility of T-shaped
professionals is particularly valuable. Infrastructure
projects often face technical, social, and political
complexities that demand both in-depth knowledge
and a broad understanding of various stakeholder
needs (Ninan et al., 2022). T-shaped professionals,
with their combined depth and breadth of expertise,
can manage these complexities more effectively, co-
ordinating between technical and non-technical teams
to ensure project success (Ninan et al., 2022).
5 SELECTED CASE STUDIES
Our team has initiated the research into the role and
perception of T-shape in the IT domain, starting with
exploring the IT academic research and IT businesses.
We are conducting case studies in universities and
companies located in Brno, Czech Republic. Our goal
is to address the importance of T-shaped skills in these
two domains and investigate its role in their mutual
collaboration, knowledge and innovation sharing. We
have results from one university and one company to
date, which are presented in the following sections.
Research in other institutions is still ongoing.
5.1 T-Shape in Academia
The first case study (Walletzk
´
y et al., 2024) focused
on the role of T-shaped knowledge in IT academic
research, specifically at the Faculty of Informatics,
Masaryk University. A questionnaire survey targeting
research groups and laboratories was conducted to as-
sess how this concept is perceived by their members
— researchers and students alike.
5.1.1 Methodology
The case study data was collected through an on-
line, anonymous survey sent to research group leaders
at Masaryk University’s Faculty of Informatics, who
shared it with researchers and students. The survey
included both closed and open questions, with open
questions allowing respondents to elaborate. Partic-
ipation was voluntary, except for an initial question
gauging familiarity with the ”T-shaped” concept. The
survey focused on three main areas: characterizing
respondents’ skills and research focus, assessing their
proactive learning efforts outside their primary field,
and evaluating perceptions of T-shaped learning in
academia.
5.1.2 Results and Analysis
Survey was completed by 24 respondents from var-
ious research groups. The results showed that more
than half of the respondents engage in applied re-
search and more than 60 % identify themselves as
interdisciplinary researchers, combining knowledge
from multiple fields. Key skills outside their pri-
mary specialization included academic writing, social
skills, and project management, highlighting the need
for effective communication and teamwork in inter-
disciplinary settings.
A majority of respondents (over 75 %) actively
pursued knowledge beyond their primary field, de-
spite challenges such as time limitations and resource
availability. Strategies included engaging with ex-
perts, attending conferences, and self-study through
journals and online learning platforms, showcasing a
strong commitment to broadening their skill sets.
The perceived value of T-shaped knowledge was
particularly notable in research, where 100 % of re-
spondents found it beneficial, with majority marking
it as ”very useful”. It was also highly valued in study-
ing, though perceived slightly less useful in teach-
ing, where neutral responses reflected its varied rel-
evance among those not involved in teaching roles.
Respondents cited benefits such as enhanced com-
munication at conferences, enriched research through
cross-disciplinary insights, and improved adaptability
in teaching.
Overall, this initial case study presented the im-
portance of T-shaped knowledge in academic research
and its contribution to effective collaboration and in-
novation.
CSEDU 2025 - 17th International Conference on Computer Supported Education
732
5.2 T-Shape in Business
The second case study explores how T-shaped com-
petencies manifest in a business context by examining
the environment of a specific IT company. This study
focuses on a leading Enterprise Resource Planning
(ERP) provider, where the importance of T-shaped
professionals in integrating technical expertise with
business acumen is highlighted. Their ERP software
includes programs for all core business areas, such
as procurement, production, materials management,
sales, marketing, finance, and human resources. This
company develops standard software for business so-
lutions and continues to offer industry-leading ERP
solutions.
The case study was carried out in one specific lo-
cation, which is a part of a chain of research and de-
velopment entities. Since this location focuses on so-
lutions dealing with finance, sustainability, and busi-
ness intelligence and development, the employees
who participated in this case study come from this
specific background. The case study gathers both
quantitative and qualitative data to look for possible
trends and patterns as well as to better understand why
and how they might arise.
5.2.1 Methodology
The data for the case study were firstly gathered by an
on-line anonymous survey. During this survey, em-
ployees were asked both open and closed questions,
which focused on the T-shape concept. The survey
was divided into multiple sections. At the beginning,
we ensured that respondents were familiarized with
the concept of T-shape.
The first section then focused on the details of
their job, namely on the role in the company, the
amount of experience they have, the learning and mul-
tidisciplinarity their job requires and the distribution
and shape of their knowledge and skills.
The following section dealt with the educational
background of the participants and its allignment with
their current role. They were also asked about the
usefulness of different educational approaches in their
primary and secondary disciplines.
The last section focused on learning opportunities,
exploring how encouraged they feel to widen their
knowledge and focusing on their experiences when it
comes to interdisciplinary learning.
Additionally, research among hiring managers is
being conducted to better understand the current and
future role of T-shape and interdisciplinarity. This
research consists of a modified questionnaire and
follow-up interviews, which could provide qualitative
data and further insight into the concept. As this re-
search is still ongoing, no results are available yet.
5.2.2 Results and Analysis
The survey has gained 65 respondents, who came
from a diverse range of roles within the company.
Most of them occupied a technical position, char-
acterizing themselves as developers, however, other
roles such as product owners and quality assurance
were also represented. The majority of participants
reported being engaged in positions that require a mix
of technical knowledge, business understanding, and
communication skills.
Respondents came with a wide range of experi-
ence levels as depicted in Figure 3. Most represented
groups include employees with 2-3 and 12-15 years
of experience.
Figure 3: Years of experience.
About one third of the respondents (21) have
heard of the term “T-shaped” before.
When asked about the amount of coding required
in their daily jobs, which was to be indication a scale
from 1 (no coding) to 5 (pure coding). The results
(Fig. 4) show a wide distribution. The average rating
was 2.69 which would indicate that the job involves
coding, but the majority of the work consists of other
tasks. This highlights the varied nature of roles within
the organization, from non-technical positions to al-
most purely technical ones, emphasizing the need for
both deep expertise and a broader understanding of
multiple disciplines.
A question about interdisciplinarity uncovered
that a majority of employees still see one main skill
or discipline which dominates for them. Participants
were again asked to rate their jobs on a scale from one
(only one deep skill is required) to ve (multiple dis-
ciplines combined) and the average rating was 3.45
(Fig. 4).
Additionally, employees were asked about the
alignment of their education with their current roles.
For those whose education did not align, the re-
T-Shaped Competencies in Academic and IT Service Synergies
733
ported level of multidisciplinarity was above average
(4), suggesting they had to develop a broader skill
set. This trend was also observed among respon-
dents identifying as Product Owners or Area Prod-
uct Owners, whose roles involve communicating with
numerous stakeholders from diverse knowledge back-
grounds.
When asked about the level of learning required,
where one symbolizes none and five represents con-
stant, continuous learning with no information reuse,
the majority of employees perceive their roles as re-
quiring frequent or continuous learning as shown in
Figure 4. This highlights the importance of ongo-
ing training and development opportunities to support
employees in maintaining and enhancing their skills.
Figure 4: Level of coding, multidisciplinarity, and learning
required.
Upon analyzing the results grouped by experience
levels, a notable trend was observed in the degree of
multidisciplinarity and the amount of required learn-
ing (Table 1). The data indicates that multidisciplinar-
ity increases with experience, as the highest scores
are consistently reported by the most seasoned em-
ployees. However, this pattern did not manifest in the
context of required learning, which remained signifi-
cantly high across all experience levels. Interestingly,
the least experienced group reported the lowest levels
of required learning.
Table 1: Multidisciplinarity and Required Learning based
on Experience Levels.
Experience Multidisciplinarity Learning
0–1 year 2.50 3.50
2–3 years 2.93 4.14
4–5 years 2.63 3.75
6–8 years 3.50 4.13
9–11 years 4.00 4.00
12–15 years 3.69 3.69
16–19 years 4.00 3.80
20+ years 4.13 4.38
The primary discipline for a vast majority of
respondents could be summarized as development.
When asked about which knowledge areas they
needed to incorporate into their secondary disciplines,
the most common answers consisted of Social Skills
(46 responses), Agile Principles (40 responses) and
Finance (40 responses). This is showing that ef-
fective communication and interpersonal skills are
critical for collaboration, teamwork, and stakeholder
management in this company. Other frequent re-
sponses include Project Management (34 responses)
and Databases (31 responses).
Another pattern was identified upon evaluating the
experience-level data. Respondents were asked to as-
sess their knowledge across multiple areas of their
job. The collected data suggests that technical knowl-
edge maturity, which is the primary discipline for
most participants identifying as developers, peaked in
the 9-11 years of experience group. Conversely, other
disciplines, which may be considered secondary, ex-
hibited continuous growth throughout the experience
levels, reaching their maximum in the most experi-
enced group (20+ years).
Over 80 % (53) of the participants actively seeks
out opportunities to learn about subjects outside of
their primary discipline. For those who do not (12),
the mentioned obstacles included time constraints and
limited access to resources, as many respondents cited
a lack of time to engage in deep learning outside of
their day-to-day responsibilities. The other reason
was the lack of purpose in acquiring those skills, as
there are dedicated experts in the field available or the
focus could rather be on building primary discipline
rather than diversifying.
Interestingly, even those who do not see the pur-
pose of acquiring these skills reported their roles as
multidisciplinary and could, therefore, benefit from
education in other domains. Focusing on raising
awareness of multidisciplinary education and enhanc-
ing employee motivation could provide significant
benefits for the company.
The majority of respondents (60 out of 65) re-
ported that interdisciplinary knowledge is very ben-
eficial or beneficial in their jobs. Many respondents
noted that knowledge in secondary disciplines helped
them communicate more effectively across depart-
ments, especially in project management, finance, and
customer interactions. Respondents emphasized that
having interdisciplinary skills helped avoid common
design or implementation issues. Their broader un-
derstanding often led to more creative solutions and
smoother project execution.
When asked about the significance of T-shaped
skills in light of emerging technologies like AI and
machine learning, 34 respondents believed that an in-
terdisciplinary approach will become increasingly im-
portant. They argued that as technology advances, the
CSEDU 2025 - 17th International Conference on Computer Supported Education
734
ability to integrate technical expertise with broader
business or domain knowledge will be crucial for
staying competitive.
In response to whether companies should support
T-shaped learning, 54 respondents agreed that compa-
nies should actively support interdisciplinary learning
and help employees develop T-shaped competencies.
11 respondents were neutral on this issue, possibly
reflecting a lack of clarity on how interdisciplinary
learning might benefit them personally.
6 DISCUSSION
The growing recognition of T-shaped skills in
academia and business highlights their importance in
preparing individuals for a rapidly evolving world.
Traditional education models are being supplemented
with curricula that promote both depth and breadth
of knowledge, addressing modern challenges that re-
quire specialized expertise and interdisciplinary col-
laboration. Universities are adapting their programs
to cultivate T-shaped professionals with strong tech-
nical and soft skills. These professionals are invalu-
able in business environments, where their expertise
and flexibility help organizations remain agile, fos-
ter innovation, and address complex challenges. As
businesses prioritize adaptability and integrated ser-
vice models, the role of T-shaped professionals will
continue to expand, driving strategic growth and sus-
taining competitive advantage.
Our initial research shows that most IT profes-
sionals and academic researchers have T-shaped pro-
files, even if they don’t recognize the term. Using
soft skills, effective communication, and management
practices enhances teamwork and prevents issues. In-
tegrating T-shaped skills leads to innovative solutions
and efficient task execution, crucial for addressing
challenges in ICT, especially with the rise of AI and
machine learning.
However, the application of the T-shaped compe-
tencies in both environments may differ. In academia,
T-shaped professionals can benefit from an interdisci-
plinary approach, where integrating knowledge from
various fields can lead to groundbreaking discoveries
and innovative solutions. This approach allows aca-
demic researchers to collaborate effectively and ad-
dress complex problems from multiple perspectives.
On the other hand, in the business context, T-shaped
professionals may need to adopt a more multidisci-
plinary approach to remain flexible and adaptable.
Businesses often require professionals who can col-
laborate across different functions and domains with-
out necessarily integrating their methodologies. This
flexibility allows businesses to respond quickly to
changing market demands and maintain a competitive
edge. However, this hypothesis requires further in-
vestigation to determine the optimal balance between
interdisciplinary and multidisciplinary approaches in
different contexts.
The presented case studies are an initial step in re-
searching T-shape competencies across IT-based aca-
demic and professional domains. Ongoing and future
case studies in various industries and universities will
provide insights into the roles, challenges, and bene-
fits of developing T-shaped professionals.
7 CONCLUSION
Integrating diverse expertise and collaborating across
disciplines is essential for addressing the complex
challenges of the 21st century. This paper highlights
that T-shaped competencies are crucial in fostering in-
novation and driving value co-creation.
In conclusion, interdisciplinary or multidisci-
plinary education and knowledge skills are fundamen-
tal sources of competitive advantage in both academic
and business contexts. Interdisciplinary approaches
are more typical for academia, where the integration
of knowledge from various fields can lead to inno-
vative solutions. In contrast, multidisciplinary ap-
proaches are more typical for business, where flex-
ibility and adaptability are crucial for responding to
changing market demands. To fully leverage the
benefits of multidisciplinary and interdisciplinary ap-
proaches, it is imperative to investigate the specific
knowledge and skills required for success in various
business domains. This investigation will help iden-
tify the key competencies needed to thrive in a rapidly
evolving landscape.
Furthermore, a more intensive collaboration be-
tween academia and business is necessary to spec-
ify and continuously update the required knowledge
and skills. The dynamic nature of the modern world
means that the specific set of competencies will
change over time, necessitating a clear mechanism
for adaptation. This ongoing collaboration will en-
sure that both academic curricula and business prac-
tices remain relevant and effective. It is evident that
no single domain, whether academia or business, can
address the entirety of complex problems alone. The
synergy between these domains is essential for holis-
tic problem-solving and innovation. By working to-
gether, academia and business can better understand
the challenges and develop more effective solutions.
Finally, the advent of AI tools, particularly large
language models (LLMs), presents both opportuni-
T-Shaped Competencies in Academic and IT Service Synergies
735
ties and challenges for multidisciplinary skills. While
these tools can enhance productivity and provide
valuable insights, they also necessitate reevaluating
the skills required for success. Understanding how AI
will impact multidisciplinary competencies is a criti-
cal area for future research and adaptation.
In summary, fostering multidisciplinary and in-
terdisciplinary education and collaboration between
academia and business is vital for addressing the com-
plex challenges of the modern world. We can create a
more innovative and resilient future by continuously
updating the required knowledge and skills and lever-
aging the potential of AI tools.
ACKNOWLEDGMENTS
The authors have used AI language tools to check the
grammar and enhance the formulation of the text.
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