Digital Transformation Framework Inspired by Organisational
Semiotics: An Analysis Based a Chinese SOE Manufacturer
Wenxuan Li
1
, Qi Li
1
and Yixuan Liu
2
1
Henley Business School, University of Reading, Whiteknights, Reading, U.K.
2
Faculty of Arts, The University of Hong Kong, Hong Kong
Keywords: Digital Transformation, Organisational Semiotics, Organisational Onion, Strategic Alignments.
Abstract: This study examines the process of digital transformation (DT) in a Chinese state-owned enterprise (SOE)
using the Organisational Onion Model (OOM) alignment framework inspired by Organisational Semiotics
(OS). The research explores how alignments among technical, formal, and informal layers contribute to
successful DT. It proposed an OMM alignment model and applied in a case of a Chinese SOE manufacturer,
where strategic priorities initiated a top-down approach to adopt new digital systems and reengineer business
processes. These changes subsequently influenced organisational culture and employee engagement. Key
findings highlight the role of iterative adjustments and feedback loops in achieving alignment, emphasising
the interplay between strategy, culture, technology, and process. Three propositions are proposed: alignments
can occur at any stage of DT, can be led by different layers in both top-down and bottom-up directions, and
are facilitated by digital champions. While the study primarily focuses on the initial stages of DT, future
research is encouraged to explore complete DT journeys and identify additional elements in each
organisational layer to deepen understanding of alignment dynamics and their impacts.
1 INTRODUCTION
Digital transformation (DT) has emerged as a critical
driver of innovation and competitiveness across
industries. It refers to a strategic shift inspired by new
technologies within organisations to seize new
opportunities in a changing environment (McAfee,
2009). For example, many businesses have adopted
cloud computing to reduce operating costs by
transitioning from CAPEX to OPEX, while others
view generative AI as a mean to enhance service
capabilities and expand their business scope (Krishna,
2024). Even traditional industries like mass
manufacturing are gradually evolving their business
operations with the power of digital technology.
Data-driven decision making can help predict the
changes in market demands in the future and guide
the design of current production schedule.
However, DT is more than just a change in
technology, but also achieving an alignment between
technology and other non-technical aspects, such as
business process. Polakova (2023) pinpoints
misalignment between IT and business during the
process of DT tends to be a major factor causing the
failure of DT project. Thus, addressing these
challenges requires a holistic approach that aligns
technological advancements with organisational
goals, stakeholder needs, and cultural dynamics.
Inspired by Stamper (1993) and Liu and Li
(2015), Organisational Semiotics (OS), a theoretical
framework rooted in the study of signs and their
interpretation in organisational contexts, offers a
unique perspective for tackling these challenges. OS
provides valuable insights into how information
flows within an organisational. Especially,
organisational onion model (OOM), as an important
model in OS, offers a morphological view of an
organisation, conceptualises organisations as multi-
layered entities encompassing technical, formal and
informal parts. Achieving alignment among these
layers ensures coherence and sustainability in DT
efforts.
As extended research of Lie et al. (2017) which
pinpoints the alignment initiated from informal layer,
and then extended to technical and formal layers, this
research further discovers the IT-business alignment
process in a context of state-own manufacturer, in
order to understand the major stages and content.
Li, W., Li, Q. and Liu, Y.
Digital Transformation Framework Inspired by Organisational Semiotics: An Analysis Based a Chinese SOE Manufacturer.
DOI: 10.5220/0013423700003929
Paper published under CC license (CC BY-NC-ND 4.0)
In Proceedings of the 27th International Conference on Enterprise Information Systems (ICEIS 2025) - Volume 2, pages 875-882
ISBN: 978-989-758-749-8; ISSN: 2184-4992
Proceedings Copyright © 2025 by SCITEPRESS Science and Technology Publications, Lda.
875
Specifically, this research will look into the
alignments took place among different layers and
component in the organisational context.
2 THEORETICAL
UNDERPINNINGS:
ORGANISATIONAL
SEMIOTICS AND
ORGANISATIONAL ONION
Organisational Semiotics (OS), as a doctrine of signs
in the context of organisations, offers an inspiring
perspective on understanding how information can be
delivered and comprehended within organisations
(Stamper, 1997). It highlights the making sense of
information not only depended on the physical media,
but also driven by the shared understanding, purposes
and social contexts. Then OS has been applied to
understand how an information system can be
adapted in an organisation, especially highlighting the
alignment between its technical and social systems
(Liu and Li, 2015).
Organisational onion model (OOM), was derived
from the OS fundamental principle of IT and social
system alignment. It further contributes a
comprehensive view of understanding the structure of
a business organisation. As a breakthrough of
traditional view of an organisation by functions e.g.
organisational chart and structure, it defines an
organisational as a social system and divide it to three
layers by the nature of information content and
communication (Stamper, 1996). The inner layer is
technical layer, which refers to the hardware and
software for automating business activities and
facilitate communication within and between
organisations. It acts a fundamental media in an
organisation for exchanging information. The middle
layer is formal part, which refers the written rules and
procedure to guide people’s behaviours within an
organisation. It plays a key role to guide people’s
actions to make sure of technical systems for
achieving the best performance. The outer layer is
informal part, which refers the non-written rules in an
organisation, such as strategy and values. It can shape
people’s behaviour and understanding on the process
(Figure 1).
Figure 1: Organisational Onion with alignments (derived
from Stamper, 1996 and Guo and Liu, 2023).
Inspired by Liu et al., (2016), OOM has been
applied in understanding IT-business alignment, by
highlighting the alignment between IT and business
process tends to a key contributor to the success of
DT. Business strategy also shapes this alignment in
long run, where the shift on technology and process
should serve the long-term objectives in business
strategy. In addition, Liu et al. (2017) specifies the
alignment among different layers of OOM in a top-
down pattern. It underscores that DT can be led by its
business strategy, and then lead to introducing new
technologies and new business processes. Therefore,
this research will further explore the process of
alignment among three layers and then understand its
sequence and focuses on each layer.
3 OOM ALIGNMENT MODEL
FOR DIGITAL
TRANSFORMATION
Based on OOM, an organisation can be viewed in
three layers, including technical, formal and informal.
Developed from Liu et al. (2017), the alignments can
also be defined into three categories (Figure 1).
Alignment 1 refers the informal-technical alignment,
where strategy or organisational culture leads the
introduction of new technology, and the development
of new technology impulse the emergence of new
business strategic focuses or new feature in
organisational culture. Alignment 2 refers to
informal-formal alignment, where a strategy shapes
business process or the evolution of business process
inspires the shift of strategic focuses. Alignment 3
refers to formal-technical alignment, where
introduction of new technology improves the
efficiency of business process. Alternatively, the
business process might need to the restructured in
order to lever the power of new technologies.
Alignment 4 refers to the internal alignment within
the informal layer, where the strategic focus(s) needs
to align with the organisational culture. In order
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words, the proposed strategic focus(s) can be
recognised and accepted by the employees, and they
are willing to put in practice. Specially, the alignment
process can be divided into four stages.
3.1 Stage One: Top-down Approach
In Figure 2, DT can be initialised a strategic focus
from the top management team in a company e.g. to
control operational risks by enhancing the capacity of
data-driven decision making. Then the strategic
initiative can trigger the purchase of new
infrastructure and software for collecting, storing and
analysing data, for the purposes of ensuring the
available data for analysis (1). Meanwhile, the
strategic focus led to the design of a new business
process (2), which requires employees to input,
analyse, and retrieve information on the different
steps during the business process. Finally, strategic
focus will can be communicated to all employees via
announcement and employee training programme, in
order to let them understand the business value of
adapting data-driven decision making and enhance
their skills to make use of data analysis software and
follow the required business process (3). Overall, the
first stage demonstrates a top-down approach to lead
the changes on technical, formal and informal layers
with a strategic focus.
Figure 2: Top-down approach to digital transformation
across organisational layers.
3.2 Stage Two: Conflict and
Compromise
In Figure 3, based on the experience of using the
newly introduced system, the workable working
process, referring to working process implemented in
the reality, can be drifted away from the pre-defined
to-be process (4). Since the to-be process was
designed based on past experience and strategic
focus, which might not be fully in line with the real
scenario. For example, when it comes to identify
valuable customers, to-be process emphasises to
assess the default risks based on the quantified
financial data from customers. However, in the
reality, it is also necessary to consider the customers’
long-term strategy and business lifecycle in order to
measure their business potential. Thus, due to the
limitations on the technical layer, the business
process can be compromised from the to-be one to the
actual one (5.2). In addition, some successful and
useful practices will also be inherited from the as-is
process on which employees are very familiar and
proficient (5.1). Especially it defines the weight of
different measures when engaging them into decision
making. As a result, the actual working process can
be adapted from to-be process, also being influenced
by the actual experience of using the new system and
the successful practices from as-is process.
In this stage, employees can experience the
conflicts between to-be and workable process, and
compromise from as-is process by taking good
practices from the experience, which can shape their
understanding of the DT project (6). For example, the
perceived improvement on work efficiency can
motive them to recognise the value of DT, and
embrace the change, which is aligned with what was
promoted with the strategic focus in stage 1.
However, employees’ frustration caused the
limitations of technical system and mismatching
between technical system and business processes will
cause the resistance emotion, where employees
cannot recognise the value of data transformation and
then refuse to accept the change.
Figure 3: Conflict and Compromise in Digital Transfor-
mation across organisational layers.
3.3 Stage Three: Bottom-up Approach
With an increasing amount of experience to using and
being engaged in the new system, the feedback from
technical layers and formal layers can inspire an
evolution on the strategic focus (informal layer)
(Figure 4). Different from the top-down approach of
Digital Transformation Framework Inspired by Organisational Semiotics: An Analysis Based a Chinese SOE Manufacturer
877
being instructed by the strategic focus, the feedback
from technical layer can offer a different possible
strategic focus. For example, a technical feature e.g.
big data analysis can help identify new details which
have never been discovered before, and then it can
contribute a new insight to seize a business
opportunity (7). In addition, based on the experience
of conflicts and compromises in stage 2, although the
workable process might be different from pre-defined
to-be process, it can indicate some initiatives in the
to-be process might not be feasible in the reality, and
then strategic focus needs to be adjusted to be more
closed to the reality (8.1). Also, alternative changes in
the business process can be proposed in order to better
fulfil the strategic focus (8.2). Finally, with time goes
by, new knowledge accumulated in the practice of
working with the new system, and then it can
constitute some new approaches which can spark new
innovations on strategic focus (9). Therefore, this
model raises the following two propositions related to
timing and directions of alignment.
Proposition 1: Alignment(s) can be happened any
stages during the process of digital transformation. It
can be initialised at the start, but with different
maneuverers and adjustment in the following stages.
Proposition 2: Alignment(s) can be led by
different layers, including both directions of top-
down and bottom-up.
Figure 4: Bottom-Up Approach to Strategic Evolution in
Digital Transformation.
3.4 Stage Four: Strategic Alignment(s)
In the long term, other than directly promoting the
changes on technical and formal layers, it is important
to align the top management team’s strategic focuses
with culture perceived by all employees (Figure 5).
For example, the achievement of accepting and
implementing the new system should be recognised
and then awarded for encouraging more employees to
participate in the transformation. On the contrary, the
challenges and difficulties of engaging in the new
system should be identified and analyse, and then
more support and necessary adjustment need to be
allocated to help employees overcome the barriers. In
addition, skill gaps should also be investigated, and
appropriate training should be scheduled to empower
employees to make use of the new system (10).
Resulted from the alignment between strategic
focus and culture, employees can feel more motivated
to embrace the new technology (11.2), as well as
being engaged in the new working process (11.2).
Then increasing active employees’ engagement in
technical, formal and informal layer can contribute to
more feedback to inform and enrich the content of
strategic focus (10). It constitutes a loop of
continuous improvement to maximise the outcome of
DT.
Thus, this model raises another proposition based
on key actions in alignment. Proposition 3: Digital
Champions, from both roles of leadership and
operations, facilitate the alignment(s) among three
layers in long run.
Figure 5: Strategic Alignments for Continuous Improve-
ment in Digital Transformation.
4 ANALYSE A DIGITAL
TRANSFORMATION PROJECT
IN A CHINESE
MANUFACTURER VIA OOM
ALIGNMENT MODEL
Based on Piccolo and Roberto (2017), OOM can be
indirectly influenced by the general environment
where the organisation operates. The observation in
this research is based on a state-owned manufacturer
in China. Therefore, it is necessary to acknowledge
that the observation results can be shaped by the
Chinese SEO cultural context with the characteristics
of high-power distance culture, long-term orientation
and collectivism, based on Hofstede dimensions
(Giacobbe-Miller et al., 2003).
Observation was based on an ongoing DT project
of developing a digital production cluster with a
highlight of developing data-drive production system.
The data input was mainly based on the authors’
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analysis and interpretation on project plan and
unstructured interview with the CIO in the
manufacturer.
The observation mainly focuses on the first stage
of DT. It begins with a top-down strategy,
emphasising the need to establish a clear direction
and commitment from organisational leadership. This
stage focuses on the Technical IS layer, where the
decision to purchase new digital systems is made.
Such a decision is often driven by strategic priorities
that aim to enhance organisational efficiency and
competitiveness through technological
advancements. The introduction of these systems
serves as the foundation for subsequent changes in
business processes and organisational culture.
A key aspect of this stage is aligning the technical
implementation with broader organisational
objectives. Leadership plays a vital role in
communicating the rationale behind the adoption of
new systems, ensuring that the investment aligns with
the long-term vision of the organisation. By initiating
change at the technical level, this stage sets the
groundwork for reshaping the Formal IS and Informal
IS layers in subsequent stages. This structured,
hierarchical approach ensures that the DT process
begins with a solid technological foundation, guided
by strategic imperatives.
Figure 6: Step 1-3 in digital transformation.
4.1 Step 1 - Building a Digital
Foundation with Strategic
Investments
In the DT project of this Chinese engineering
equipment manufacturer, the decision to purchase a
new system was not merely a conventional
acquisition of isolated technological tools. Instead,
the organisation undertook a more ambitious
initiative: the construction of an entirely new smart
industrial city, built entirely on advanced digital
systems. This approach represents a comprehensive,
top-down strategy to establish a cutting-edge digital
infrastructure, aligning with the Technical IS layer in
the Organisational Onion model.
The creation of the smart industrial city reflects a
shift from traditional system procurement to a
systemic overhaul, where the entire operational and
organisational framework is designed around digital
technologies. This initiative integrates advanced
systems such as IoT, AI, and big data analytics into a
cohesive platform, enabling seamless digitalisation
across the enterprise. By constructing a new,
technology-driven ecosystem, the organisation not
only addressed its immediate operational needs but
also laid the groundwork for adaptive, intelligent
business processes and future scalability.
This strategic move exemplifies a luxury-level
approach to system acquisition, where the focus
extends beyond technical functionality to encompass
organisational alignment and transformation. The
smart industrial city serves as a foundational enabler
for subsequent stages of DT, including business
process reengineering (Formal IS) and cultural
adaptation to digital innovation (Informal IS). This
systemic perspective ensures that technical
advancements are integrated with organisational
objectives, fostering long-term value creation.
Through the construction of the smart industrial
city, the organisation established itself as a pioneer in
DT, leveraging an ambitious technical foundation to
drive comprehensive changes across its operations,
processes, and culture. This approach underscores the
critical role of strategic, large-scale system adoption
in achieving alignment and enabling the transition
toward an intelligent, digitally enabled future.
4.2 Step 2 - Redesigning Business
Processes for Digital Integration
The phase of instructing a new business process
focuses on the systematic reengineering and
optimisation of organisational workflows to align
with the capabilities of newly adopted digital
systems. This stage involves the redesign and
integration of core business processes, ensuring
seamless coordination across organisational units
while leveraging advanced digital tools for execution.
A key aspect of this phase is process integration,
where traditional linear workflows are transformed
into interconnected, data-driven processes. By
employing frameworks such as the RACI model, the
organisation establishes clear roles and
responsibilities, ensuring transparency and
accountability in process execution. This structured
approach facilitates the alignment of strategic
objectives with operational outcomes, creating a
robust foundation for DT.
Digital Transformation Framework Inspired by Organisational Semiotics: An Analysis Based a Chinese SOE Manufacturer
879
The integration of IT and OT technologies, along
with the adoption of Industry 4.0 principles, further
supports the dynamic realignment of business
processes. Data-driven mechanisms, such as KPI
monitoring and intelligent control towers, enable real-
time visibility and continuous optimisation of
workflows. This ensures that new business processes
are not only efficient but also adaptable to changing
operational demands.
Moreover, the restructured processes integrate
product design, supply chain management, and
manufacturing operations into a unified value chain.
Systems such as BOM and MES establish seamless
connections across planning, execution, and feedback
loops, enabling the realisation of an end-to-end digital
ecosystem. This holistic approach to business process
design ensures that operational efficiency is
maximised while fostering a culture of continuous
improvement and responsiveness to external and
internal challenges.
4.3 Step 3 - Driving Cultural and
Managerial Shifts Through Data
Insights drawn from an interview with the
organisation's Chief Information Officer (CIO)
emphasise that the essence of DT lies in shifting from
experience-based to data-driven decision-making
across all organisational levels. The CIO highlighted
that digitalisation is not merely about adopting
advanced systems or platforms but fundamentally
about transforming the enterprise's decision-making
processes. This shift enables organisations to make
more objective and precise decisions, enhancing their
ability to navigate complex market environments.
The CIO provided a practical example, explaining
how, in the past, sales personnel relied on subjective
experience to evaluate customer credit, predict
payment capabilities, and assess sales costs and
returns. While such methods could be effective in
specific scenarios, they often lacked scientific rigour
and carried inherent limitations due to the variability
of individual experience. Through digitalisation, the
organisation systematically collects and analyses data
such as customer credit reports and annual
statements, building accurate, data-based customer
models. These models provide objective insights,
allowing the organisation to manage risks more
effectively and make more reliable business
decisions.
The interview further highlighted how DT
impacts employees at different levels of the
organisation. For senior management, the value lies
in accessing comprehensive, data-driven insights that
support strategic decision-making. Middle-level
managers benefit from improved visibility and real-
time monitoring of operational performance, enabling
them to adjust strategies effectively. Grassroots
employees experience increased efficiency through
automation and reduced manual workload, allowing
them to focus on critical tasks and improve
productivity.
The CIO also acknowledged the challenges of
embedding digitalisation into the organisational
culture. Resistance to change and the reliance on
traditional decision-making methods can impede the
adoption of a data-driven paradigm. To address this,
the organisation prioritises training programs, cross-
departmental collaboration, and the establishment of
unified data standards. These initiatives aim to build
trust in digital tools and foster a culture of innovation
that aligns with the organisation's strategic focus.
This analysis demonstrates how the organisation
leverages digitalisation not only as a technological
advancement but also as a cultural and managerial
shift. By effectively communicating the value of DT
and aligning it with both strategic objectives and
employee engagement, the organisation lays a strong
foundation for sustained innovation and long-term
competitiveness.
4.4 Step 4 & 5 - Achieving Alignment
Through Iterative Adjustments
In the organisation’s DT journey, the introduction of
new technologies (Technical IS) necessitated
iterative adjustments to align existing business
processes ("as-is") with the envisioned target
processes ("to-be"). This process was characterised
by resolving conflicts through optimisation and
compromise, leading to the development of
functional "workable processes" that balanced
technical capabilities with operational realities.
One significant challenge the organisation faced
involved the integration of its production planning
and execution systems. Gaps between the enterprise
resource planning (ERP) system and the
manufacturing execution system (MES) created
inefficiencies, particularly in synchronising
production schedules with real-time operational data.
For example, discrepancies in data flow between
these systems prevented the seamless adaptation of
production schedules to actual shop floor conditions.
To address this, the organisation restructured its
workflows, prioritising the synchronisation of ERP-
generated plans with feedback from MES. This
adjustment ensured that existing processes adapted to
the new digital framework, enabling smoother
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operations and better alignment with technological
advancements.
The organisation also encountered challenges in
achieving the ambitious goals set for its target
processes. These "to-be" processes envisioned a fully
integrated factory system that unified factory layout,
material flows, and production systems under a
comprehensive digital blueprint. However, practical
constraints such as incomplete data connectivity and
limited IT-OT (information technology and
operational technology) integration necessitated
compromises. For instance, the initial plan to
establish real-time feedback loops between digital
twins and production lines had to be revised. Instead,
the organisation adopted a phased approach,
achieving partial connectivity milestones while
continuing to refine its systems. This compromise
ensured that progress was maintained while
addressing the limitations of current technology and
resources.
Through these adjustments, the organisation
successfully transformed its business processes into
"workable processes" that aligned with both its
operational needs and DT goals. These iterative
refinements allowed the organisation to optimise
resource allocation, enhance efficiency, and reduce
systemic bottlenecks, demonstrating the importance
of flexibility and compromise in navigating the
complexities of large-scale DT.
Figure 7: Step 4-5 in digital transformation.
5 CONCLUSIONS AND
FURTHER STUDY
This research focuses on the alignments among three
layers of OMM during the process of DT. Developed
from Liu et al. (2017), it proposed an OOM alignment
framework to highlights the alignments among
different components in technical, formal and
informal layers, and explained the process where
alignments took place. Overall, the DT can be
initialised by the strategic focuses, and then lead to
the change in IT systems, formal processes, culture to
embrace DT (stage 1). Based on the actual use of new
IT systems, employees will adopt a workable process,
derived from as-is process and the actual experience
of using the new IT systems, which can further shape
the culture of digitalisation within the organisation
e.g. acceptance or resistance (stage 2). In the stage 3,
the feedback from each layer, such as new features
from IT systems, user experience of being engaged in
the workable process, and new digitalisation culture,
can help influence the strategic focuses. Finally, the
shift of strategic focus will re-align with the
digitalisation culture in order to promote more
employees’ acceptance on the new IT system and
compliance with the new work process (stage 4).
Then three highlighted propositions about
alignments in DT process can be summarised as
follows.
Proposition 1: Alignment(s) can be happened any
stages during the process of digital transformation. It
can be initialised at the start, but with different
maneuverers and adjustment in the following stages.
Proposition 2: Alignment(s) can be led by
different layers, including both directions of top-
down and bottom-up.
Proposition 3: Digital champions, from both roles
of leadership and operations, facilitate the
alignment(s) among three layers in long run.
However, the limitations in this research can be
articulated below, followed by suggestions for future
studies.
Firstly, although a 4-stage OMM-inspired
alignment framework has been proposed in this
research, the interview in the Chinese SOE merely
illustrated the first and second stage. Thus, stage 3-4
has not been witnessed in a real case. In order words,
this research has not yet found evidence to support the
process of stage 2-4 which were developed based on
the reasoning on the original OMM and OS theories.
For future studies, they can consider conducting a
longitudinal study, either by analysing a complete
process of a DT case, or by following a company
through its complete journey of DT. Then they will
be able to articulate how the alignment process
happened in a real scenario and justify if it follows the
propositions raised in this research.
Secondly, although this research identified some
elements in each layer of OMM, such as strategic
focuses from top management team and digitalisation
culture conveyed by employees, more elements can
be specified on different layers when more in-depth
interviews have been incorporated in this research in
order to understand the challenges the SOE
encountered in the reality. For example, OOM
Digital Transformation Framework Inspired by Organisational Semiotics: An Analysis Based a Chinese SOE Manufacturer
881
alignment model indicates influenced by as-is process
and experience of using new IT systems, the
employees will adopt a workable process, which is
different from the predefined the to-be process.
However, in the reality, there might be different
process where some of them can be easily complied
and some not, and then they could influence the
digitalisation culture on different extents. Then the
conflicts and compromises might be happened more
on some processes than others, which can be further
discovered in the future studies.
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