Abstract
Organisations are increasingly transforming themselves to remain profitable and obtain sustainable competitive advantages. Business processes are as important as technology in promoting organisational transformation. Organisational transformation ultimately entails combining existing business components, whether or not with the same use and design, with new ones to generate novel products and services. For example, one particular type of organisation transformation is digital transformation. This notion, which covers even the subjective aspects of organisational transformation, is currently under intensive discussion and suffers from the semantics terms fluctuation related to the notion of ‘organisational transformation’. We argue that this topic could strongly benefit from an ontological analysis and conceptual clarification of these notions. This paper contributes with an attempt in this direction by proposing a Core Ontology of Organisational Transformation (COOT). This ontology comprises concepts and relations central to creating a reference model representing the organisational transformation paradigm. COOT was applied in a real-world case study on a car rental company.
Introduction
Organisations are increasingly confronted with the need to respond creatively and adapt to changes in order to remain viable and develop sustainable competitive advantages. Many organisations will cease to exist unless they keep up with technology trends (Ioannou, 2014). However, more than merely incorporating information technology (IT) into business processes is needed to allow organisations to be innovative and remain competitive in the Digital Age (vom Brocke et al., 2016). These can also prompt profound business strategy changes, as it often implies combining existing business components of various kinds to generate novel products and services (Henfridsson et al., 2018).
In order to define digital transformation, Bogea Gomes et al. (2020a) proposed the Digital Transformation and Innovation Business Process Management Ontology (DT&I-BPM-Onto). This ontology was then used in a case study on a car rental company. This study examined the extent to which DT&I-BPM-Onto could support the representation of a digital process transformation (Bogea Gomes et al., 2020b). From the results, we observed that a thorough definition of some fundamental concepts related to subjective aspects of an organisational transformation was still required. These are listed in the sequel.
First, the subject of transformation, i.e., the organisation itself, should be described in detail. DT&I-BPM-Onto defines Business Organisation as a limited liability company or partnership that sells goods or services to make a profit (Bogea Gomes et al., 2020b). According to Ferrario et al. (2018), organisations and their relationships are studied by many disciplines, considering their conceptual or concrete aspects. For example, while most firms have only one location, a single firm can also consist of one or more establishments as long as they fall under the same ownership. Furthermore, the same business organisation can have a wide variety of business units, such as a business unit for retail and a business unit for corporations. All those concepts needed to be included in DT&I-BPM-Onto. Second, organisation transformation events needed to be described in DT&I-BPM-Onto. Digital or otherwise, organisational transformation is a type of organisational change (Porras and Silvers, 1991). None of these notions has been adequately explored either by DT&I-BPM-Onto or in the literature.
Transformation is an important topic on many organisations’ strategic agendas because they need to change constantly to remain viable and ensure sustainable competitive advantages (Henriette et al., 2016). While transformation is ideally undertaken preemptively, in practice, it is much more an intentionally generated response to challenging circumstances (Reeves et al., 2018). Such transformations may impact business models, operational processes and end-user experiences, as well as produce technological shifts (Henriette et al., 2016).
Numerous researchers have examined the topic of organisational transformation, mainly to discuss the impacts of management, processes, practices, integration, culture, leadership and implementation. For example, Yazdani et al. (2018) propose a change management model for implementing business process management; Labusch and Winter (2013) discuss what activities and information inputs can be provided by enterprise architecture management (EAM) to manage enterprise transformation; Safrudin et al. (2011) present a conceptual model explaining how required management services are orchestrated during such a business transformation initiative; Bahner and Stroh (2004) introduce a Transformation Management Investment Model aiming to enable organisations to respond more quickly and creatively to changing market conditions, business and customer needs; Zaoui and Souissi (2018) explain the concept of organisational transformation through the identification of the digital transformation conceptual components required for designing a knowledge model, and Sen and Sinha (2016) describe how their ontology captures the knowledge of the practice transformation process. In order to fulfil their goals, all those authors explain the concept of organisational transformation. However, according to Reeves et al. (2018), the research underpinning the design and execution of corporate transformations is surprisingly poor and lacks an evidence-based approach. Primarily, the question of what exactly is transformed and how still needs to be satisfactorily answered.
In order to address these open issues, in this work, we propose a contribution towards a Core Ontology of Organisational Transformation (COOT). In particular, we propose the first ontology module of this ontology to investigate the following research questions:
With COOT, we intend to establish a proper ground for understanding organisational transformation phenomena. In particular, we intend to address the missing point of view in DT&I-BPM-Onto. On the one hand, COOT is more general than DT&I-BPM-Onto, as it goes beyond the specific aspects of digital transformation. On the other hand, it is much more detailed, thus providing a basis for representing those specific aspects. We are acutely aware that the ontology proposed here addresses a subset of the notions involved in the organisational transformation domain. So, despite providing a deep analysis of the notions involved in answering the aforementioned RQs, the work presented here should be taken as the first of many COOT ontology modules, given that it covers a specific aspect of this complex domain.
COOT is a Core Ontology grounded in the Unified Foundational Ontology (UFO) (Guizzardi, 2005). Moreover, it reuses and integrates two other relevant Core Ontologies, namely: (a) COVER (Common Ontology of Value and Risk) (Sales et al., 2018); (b) the W3C organisation Ontology (W3C, 2014). Although there are alternative ontologies of organisations, e.g., (Ferrario et al., 2018), we decided to reuse (b) for its simplicity. In particular, it focuses on the minimal aspects of organisational structuring and decomposition germane to this article’s purposes. This aspect of simplicity is an essential non-functional requirement here, given that we want our ontology to be used by scholars and practitioners in organisational studies, who often lack a formal logic and formal ontology background. By being an international standard intended for a broad and multi-disciplinary audience, the W3C organisation ontology was designed with such a simplicity goal in mind.
COOT was engineered following the SABiO methodology (de Almeida Falbo, 2014). In this paper we revisit the aforementioned real-world case study of a car rental company, demonstrating how COOT can articulate and represent notions that are missing in (Bogea Gomes et al., 2020b).
The remainder of this paper is organised as follows. Section 2 sets out the background knowledge used in this work. Section 3 describes the methodology to build and evaluate COOT. Section 4 presents the proposed ontology. Section 5 describes its evaluation, and Section 6 discusses the results and compares them with the findings of other studies. Finally, Section 7 concludes the paper with some final remarks, the study’s main contributions and limitations, and prospects.
Background knowledge
This section provides the theoretical background for developing COOT. Section 2.1 introduces the Unified Foundational Ontology (UFO) and the UFO-based modelling language OntoUML. Section 2.2 introduces UFO-B. Section 2.3 presents UFO-C. Section 2.4 elaborates on the organisation concept. Section 2.5 presents the COVER ontology, which defines the concept of value adopted in this study. Section 2.6 presents an overview of Digital Transformation and Innovation Business Process Management Ontology (DT&I-BPM-Onto), focusing on concepts directly related to transformation.
Unified Foundational Ontology (UFO) and OntoUML
UFO is an axiomatic formal theory based on contributions from Formal Ontology in Philosophy, Philosophical Logic, Cognitive Psychology, and Linguistics. UFO has been conceived as a foundation for conceptual modelling. Over the years, it has been successfully employed to support ontological analysis and conceptual clarification in many domains (Guizzardi, 2005; Guizzardi et al., 2008; Botti Benevides et al., 2019; de Oliveira Bringuente et al., 2011).
OntoUML is an extension of UML Class Diagrams whose meta-model has been designed to comply with the ontological distinctions and axiomatisation of UFO (Guizzardi, 2005; Fonseca et al., 2019; Guizzardi et al., 2021; Almeida et al., 2019a).
A recent study showed that UFO is the second-most used foundational ontology in conceptual modelling, with the fastest adoption rate (Verdonck and Gailly, 2016). This study also shows that OntoUML is among the most used languages in ontology-driven conceptual modelling.
UFO is structured into three modules; UFO-A (an Ontology of Endurants) (Guizzardi, 2005), UFO-B (an Ontology of Events) (Botti Benevides et al., 2019), and UFO-C (Guizzardi et al., 2008; de Oliveira Bringuente et al., 2011) (an Ontology of Social and Intentional Entities). UFO-A and UFO-B are directly reflected in the modelling primitives of OntoUML, as well as in the constraints that govern the relations between these primitives. UFO-C has been built on top of UFO-A and UFO-B to systematise social concepts such as plan, action, goal, agent, intentionality, commitment, and appointment, among many others. UFO-C, however, is represented as an OntoUML library with general categories that are later specialised by the corresponding domain-specific notions.
A brief explanation of a selected subset of the ontological distinctions set out by UFO is offered in the remainder of this section. We also show how these distinctions are represented by the modelling primitives of OntoUML (as a UML profile). Following that, we briefly present the categories comprising UFO-A; the two subsequent sections focus on the categories of UFO-B and UFO-C, respectively. For an in-depth discussion, philosophical rationale, formal characterisation and empirical support for these categories, one should refer to (Guizzardi, 2005), (Guizzardi et al., 2008), (Botti Benevides et al., 2019), (Guizzardi et al., 2022), (Verdonck et al., 2019). In this text, we highlight in
UFO makes a fundamental distinction between
Substantials are existentially independent entities. They can be either
Unlike substantials, aspects are parasitic entities and can exist only by inhering in other entities (their bearers), i.e., they are existentially dependent entities. Aspects can be
Inherence is a type of non-reflexive, asymmetric, anti-transitive and functional existential dependence relation (Guizzardi et al., 2022).
Let us first take a domain in reality that is populated by endurants. Entities in this domain will instantiate a number of
Endurant kinds and subkinds represent essential properties of endurants, also termed rigid or static types (Guizzardi, 2005). There are also types that represent contingent or accidental properties of endurants; these are termed anti-rigid types (Guizzardi, 2005). These include
Another example of an anti-rigid type is a
Kinds, subkinds, phases, and roles are categories of
Endurants are connected by relators while playing certain “roles”. For instance, people play the role of the spouse in a marital relationship; a person plays the role of president in a presidential mandate. ‘Spouse’ and ‘President’ (but also typically student, teacher, pet) are examples of what was technically termed a role in UFO. It is a relational contingent sortal since this type of role can be played only by entities of a single given kind. There are, however, relational and contingent role-like types that entities of multiple kinds can play. An example is the role of the ‘Customer’, which both people and organisations can play. We call these role-like types that classify entities of multiple kinds
Finally, UFO also considers the existence of
UFO-B (Guizzardi et al., 2008; Botti Benevides et al., 2019) explicitly differentiates between events and endurants regarding their relationships with time. Endurants are fully present at whatever instant of time they are present, i.e., they are in time in the sense that, if a substantial S has the property
For UFO-B (Botti Benevides et al., 2019): (i) events are possible transformations from one
Some authors, most notably (Galton, 2006), make a strong distinction between processes and events. For him: (a) processes are open-ended, whereas events are not, i.e., while events have a beginning and an end, processes go on from moment to moment and, in principle, can continue indefinitely (although extraneous factors can prevent them from doing so). In other words, an event is a piece of history, while a process can be experienced in the present; (b) processes are homeomerous, i.e., if a process goes on over some time interval, then it goes on over each subinterval of that interval; (c) processes (but not events) can be the direct objects of experience. In this respect, processes are almost more like endurants than perdurants: they are present from moment to moment, can be experienced directly, and undergo changes.
In UFO-B, in contrast, all events (atomic or complex, homeomerous or otherwise) are modally fragile entities (i.e., they cannot change) and only exist as past entities (Guizzardi et al., 2016). The term process is sometimes used to refer to complex events, but they are nonetheless entities of the same nature (Guizzardi et al., 2022). The notion of ongoing complex events is detailed in (Guizzardi et al., 2016), and, in a nutshell, ongoing events are modelled as having successive numerically distinct events of the same kind that are proper parts of their successors. A defined description as a constant (e.g., this walk to the station, this fall of the rock) gives the illusion of numerical identity of these different succeeding events and is individuated by a constant focus, namely a background endurant which is either the changing quality at hand (Guarino et al., 2022) (e.g., the vertical position of the falling rock) or the disposition of which the event is a manifestation (Guizzardi et al., 2016) (e.g., an intention to walk to the station).
An Ontology of Social Entities (UFO-C)
One of the main distinctions made in UFO-C is between
Intentional Aspects include, besides Intentions,
Figure 1 depicts a fragment of UFO-C containing a summary of the categories discussed in this section. As previously discussed, this model is represented as a module in OntoUML.2
The OntoUML models in this paper use a colour convention employed by that community: light red is used for types whose instances are substantials, yellow for those whose instances are events, green for those whose instances are relators, blue for those whose instances are qualities, orange for those whose instances are situations, purple for those whose instances are higher-order types, and grey for those types whose instances can belong to one or more of these ontological categories. A strong variant of each of these colours is used to represent kinds within these categories (relator kinds, quality kinds, etc.), i.e., those types providing the principle of identity for their instances (Guizzardi, 2005).

A UFO-C fragment.
The organisation is the main subject of organisational transformation. Thus, characterising this notion is a central point of our work. We analysed the various concepts of organisation in the literature, according to (a) Guizzardi (2005), (b) Binder and Clegg (2007), (c) Guizzardi et al. (2008), (d) Bottazzi and Ferrario (2009), (e) Almeida and Cardoso (2011), (f) de Oliveira Bringuente et al. (2011), (g) Frank (2011a), Scheer (2012), (h) W3C (2014). Table 1 compares the definitions and highlighted points in common among them.
Organisation conceptualisation in the literature
Organisation conceptualisation in the literature
Organisations can be brought into existence (along with their parts, i.e., organisational units) by one particular type of normative description recognised by an organisation and termed the organisation’s
In artificial intelligence, there is currently interest in creating artificial agents’ societies (Bottazzi and Ferrario, 2009). This results in an increasing transformation of certain human agent positions into artificial ones in the digital transformation domain. Therefore, it is essential to define what an artificial agent is. An artificial agent is a non-human and non-legal entity to which true legal responsibility cannot be ascribed. An artificial agent may also perform certain actions in an organisation. Organisations are created by physical and social agents but can be sustained by both physical, social and artificial agents (Bottazzi and Ferrario, 2009).
The literature is not consensual about the differences between enterprise and organisation. For Bottazzi and Ferrario (2009), enterprises and organisations are different concepts. Enterprises can be considered a special kind of organisation. For example, a non-profit institute is an organisation, but it is not an enterprise. Nevertheless, for the European Commission (2003) (Binder and Clegg, 2007), an enterprise represents a collection of people organised together into a community or other social, commercial, or political structure. In this paper, we will refer to the enterprise as a type of organisation (Bottazzi and Ferrario, 2009).
For W3C (2014), a formal organisation is recognised in the world at large, with associated rights and responsibilities (as a corporation, charity, government or church), particularly in legal jurisdictions (W3C, 2014). In contrast, an informal organisation is an interconnected social structure that determines how people work together. An informal organisation (e.g., a special interest group) can be formed within a formal organisation.
An organisation can be composed of organisational units, which means that an organisation can comprise other organisations (sub-organisations), which are in some way associated and hierarchically ordered. In some cases, the sub-organisation can be regarded as standalone: a legally recognised business may be part of a larger group or holding company.
The W3C Organisation Ontology (W3C, 2014) represents explicitly the organisational role that the person fulfils (e.g., the W3C ontology models the responsibilities associated with the function). An agent’s situation fulfilling that role within an organisation is then expressed through instances of the membership relationship. The concept of Post represents a position in the organisation that may or may not be currently filled. Posts enable reporting structures and organisation charts to be represented independently of the person holding those posts. Posts can report to other posts. Therefore, a post can exist without someone holding it. In contrast, a membership represents a relationship between a particular person (agent) and the organisation and does not exist unless an agent partakes in the relationship. A post can have an associated role. An organisational structure comprises organisational units and their relationships. The elementary organisational unit, which cannot be further decomposed, is called a position.
In conclusion, as we observe in Table 1, the literature seems to agree that an organisation can act as a social agent. Thus, in this paper, we take that an organisation: is a Social Agent (UFO-C), which comprises a collection of agents organised together into a community (or other social, commercial or political structure, regardless of its legal form). These structures include partnerships or associations regularly engaged in collective activities, with some common purpose or reason for existence that goes beyond those of the set of agents involved in it. An organisation could be a single integrated organisation or a collection of inter-organisational partners.
Nothing is intrinsically valuable (Guarino et al., 2016). Value only exists because people ascribe it to things; thus, value is subjective to a great extent. Customers familiar with technologies might ascribe a high value to a digital business, whilst their grandparents are unlikely to do so. Value depends on the mental aspects of the value-ascribing stakeholders (henceforth value beholders), such as desires, goals, needs, and preferences (Sales et al., 2017). Moreover, for them, value is not a synonym for benefit. Value arises from weighing benefits and sacrifices. For instance, some people consider owning a smartphone of a specific brand (which is likely more expensive) to bring more benefits than the sacrifice of paying for it. Therefore, the value depends on the beholder and his or her mental aspects. However, this does not mean that an object’s intrinsic aspects (or parts) do not influence the value people ascribe to it.
According to Guarino et al. (2016), the analysis of value, value ascription mechanisms, and their motivating and influencing factors is helpful for decision-making processes. Several approaches have been developed in the value modelling literature, such as the Resource, Event, Agent (REA) Ontology (McCarthy, 1982), e3value (Gordijn and Akkermans, 2001; Gordijn, 2004), and the Value Delivery Modelling Language (VDML) (OMG, 2018). Guarino et al. (2016) present and discuss the Value Ascription Ontology (VAO), aiming at elaborating on the nature of the value ascription relationship. Sales et al. (2017) built upon the Value Ascription Ontology (VAO) to propose a theory of value propositions grounded in UFO. This theory elaborates on the nature of (economic) value, which “things” can have value, and how the process of ascribing value works. In particular, the authors adopt the interpretation of value as use value (or value-in-use), henceforth just ‘value’, as opposed to exchange (or market) value, given the former’s role in formulating value propositions. In this sense, the value of a thing is determined by how well its affordances match the goals/needs of a given agent in a given context.
An organisational transformation aims at value creation for the business. Although its focus is value creation, at the same time, the transformation does come with costs and risks, sometimes unforeseen. Therefore, it is essential to understand the opportunities and potential challenges surrounding its value creation. Since, in an organisational transformation, the nature of the value ascription (for example, the customer relationship) is more important than the value exchange between subjects, as value ascription concept considers “what” value is and “why” something is valuable, while the concept of value exchange between subjects disregards this understanding, we look to clarify the concepts involved. To that end, in our work, we reuse the concepts related to value and risk from the Common Ontology of Value and Risk (COVER) (Sales et al., 2017,2018). Moreover, we agree with (Guarino et al., 2016) on the importance of understanding “what” value is and “why” something is valuable.
Organisations need well-designed business strategies to gain a sustainable competitive advantage. One crucial aspect informing the design of business strategies are value propositions, which are types of value ascriptions. Value ascription is a judgement relationship between an agent (the value beholder) and a value bearer, which the beholder judges as having value for someone (the value beneficiary). A value ascription is an aggregation of “smaller” judgments, i.e., the value ascription components. Each component focuses on the beneficiary’s experience from the perspective of one of its mental aspects (including beliefs).
Value propositions are the answer to why customers engage in a business relationship with one organisation and not another – customers choose (Product and Service) offerings which they perceive to offer a superior value proposition. It may be beneficial for an organisation to redesign itself and its offerings to maximise the value created for its customers. Offerings describe how a product, service or feature create value for a target market segment. A business is segmented into market segments to better design offers to its customers and bring value to the business (Sales et al., 2017).
For Sales et al. (2018), value and risk are intrinsically connected. COVER shows this duality between value and risk, considering them both to be the same type of phenomena but with opposite polarity. Value is a composition of benefits (which emerge from goal satisfaction) and sacrifices (which emerge from goal dissatisfaction). Risk is one type of sacrifice, as a value reducing factor. This suggests the process of ascribing value is strongly related to the process of assessing risk.
Given this strong connection between these two concepts, COVER generalises the notions of value ascription and risk assessment into a type of relator that involves: (i) an agent who is responsible for the judgment, deemed the value and risk assessor, respectively; and (ii) the target of the judgment, that could be either an object or an event. According to COVER, the value/risk ascribed to an object is always derived from the value/risk ascribed to events (or experiences) “enabled” by their dispositions, regardless of whether these events are Intentional or not, and whether they affect one’s goals positively or negatively.
Representing value and risk as qualities means that they can also be measured according to a given scale, such as a simple discrete scale (e.g., ⟨Low, Medium, High⟩) or a continuous scale (e.g., from 0 to 100) (Sales et al., 2018).
Digital Transformation and Innovation Business Process Management Ontology (DT&I-BPM-Onto)
Digital transformation is defined as the combined effects of several digital innovations bringing about novel actors, structures, practices, values and beliefs that change, threaten, replace or complement existing organisations, ecosystems and industries (Loebbecke and Picot, 2015; Mangematin et al., 2014). Most of the new business forms related to digital transformation also include incorporating new business processes. The digital transformation through robotic process automation at Deutsche Telekom (Schmitz et al., 2019), and the well-known Uber case, are just two of the many examples where processes and technologies are side by side in promoting transformation.
In order to characterise processes and technologies side by side promoting transformation, Bogea Gomes et al. (2020a) proposed a Digital Transformation and Innovation Business Process Management Ontology, DT&I-BPM-Onto. DT&I-BPM-Onto provides a conceptual basis for business organisations to learn about Business Process Management (BPM) and digital transformation concepts and relationships, contributing to leveraging BPM in the digital era, exploring its relationship, and investigating to what extent BPM affects and is affected by digital transformation. In the following paragraphs, the terms written in

DT&I-BPM-Onto fragment (from Bogea Gomes et al., 2020a).
DT&I-BPM-Onto specialises the types of
A business has one or more business goals, an organisation’s short-term or long-term target that one or more DT&I outcomes achieve. A DT&I outcome is a result of one or more DT&I. DT&I-BPM-Onto explores the
The transformed
A new version of DT&I-BPM-Onto (henceforth simply called DTO) grounded in UFO will be developed as part of future work reusing the analysis and representation put forth in this paper.
A Systematic Approach for Building Ontologies (SABiO)
To develop the ontology presented in this paper (COOT), we followed the Systematic Approach for Building Ontologies (SABiO) (de Almeida Falbo, 2014), which supports the development of domain and core ontologies, as well as reference and operational ontologies. Ontologies encode knowledge and make them reusable at various levels. They are used by people, databases, and applications that need to share information. Ontologies “include a range of models of varying degrees of semantic richness and complexity” (Obrst et al., 2002). This paper takes a human-oriented approach, resulting in a conceptual model intended for communicating knowledge between humans.
SABiO prescribes an ontology development process comprising five phases: (1) Identification of Purpose and Elicitation of Requirements; (2) Ontology Capture and Formalisation; (3) Design; (4) Implementation; and (5) Testing. However, since COOT is a reference ontology, we are using SABiO’s reference ontology development process that involves only three phases: (1) Identifying Purpose and Eliciting Requirements, (2) Capturing and Formalising Ontology and (3) Testing the Ontology. The Design and Implementation phases are specific to the operational ontology development process. Moreover, SABiO considers five main supporting processes spanning the development process: Knowledge Acquisition, Reuse, Documentation, Configuration Management and Evaluation.
SABiO’s Identifying Purpose and Eliciting Requirements phase comprises four activities that occur iteratively in the following order: Identifying Purpose and Intended Uses, Eliciting Requirements, Identifying Competency Questions and Modularising the Ontology. Ontology requirements can be divided into functional and non-functional requirements. Functional requirements refer to the knowledge (i.e., content) to be represented by the ontology. They can be stated as competency questions, i.e., questions that the ontology should be able to answer. This determines what is and what is not relevant to the ontology. The competency questions establish the ontology’s scope and provide a means to evaluate it. The non-functional requirements refer to characteristics, qualities and general aspects that are not directly related to the ontology’s content. A literature review was conducted in previous research to identify and organise the relevant concepts and relations with the aim of eliciting the requirements for the proposed model. These requirements are presented in the following Section 3.2.
In the phase of Capturing and Formalising Ontology, SABiO suggests that concepts and relations in a reference domain ontology should be identified, organised and analysed in light of a foundational ontology. For building reference domain ontologies, highly-expressive languages should be used. An example of an ontology representation language suitable for reference ontologies is the UFO-based language OntoUML. To develop COOT, we use UFO and OntoUML.
Once the reference ontologies are developed, they need to be evaluated (de Almeida Falbo, 2014; Guarino, 2004; Brank et al., 2005; Poveda-Villalón et al., 2012).
According to Brank et al. (2005), various ontology evaluation approaches have been considered in the literature for different types and purposes of ontologies. The authors present the following categories of evaluation: (b1) those based on comparing the ontology to a gold standard ontology3
“Gold standard” in the sense of comparing the syntax in the ontology definition with the syntax specification of the formal language in which the ontology is written (e.g. RDF, OWL, etc.) (Brank et al., 2006).
Suarez-Figueroa et al. (2013) also consider different approaches to help developers during the ontology evaluation process: (s1) comparison of the ontology to a “gold standard”, (s2) detection of common errors from catalogues in the ontology, (s3) use of dimensions and criteria for describing the quality and goodness of the ontology, (s4) use of the ontology in an application and evaluation of the results, (s5) comparison of the ontology with a data source from the domain to be covered, and (s6) evaluation by experts who check the ontology against the requirements. In addition, according to those authors, ontology evaluation can be supported by natural language techniques.
Walisadeera et al. (2016) argue that there is no agreed method or approach to evaluate an ontology in the current literature. The choice of a suitable approach depends on the purpose of validation or evaluation, the application in which the ontology is to be used, and on what aspect of the ontology we are trying to validate or evaluate.
Here, in line with SABiO’s Testing the Ontology phase, a COOT test case was designed, which involves two main evaluation processes: verification and validation. Verification aims to ensure that the ontology was built correctly, i.e., the artefact meets the competency specifications imposed at the outset. Validation, however, aims to ensure that the right ontology was built, i.e., the ontology fulfils its specific intended purpose. For verification, SABiO suggests checking whether the ontology meets its requirements during the Ontology Capture and Formalisation phase. This can be done by indicating which ontology elements (concepts and relations) are able to answer each competency question formulated. The methodology suggests that potential users evaluate the suitability of the ontology for their intended uses to demonstrate its ability to represent real world situations. In our case, in line with (Duarte et al., 2016), we used real data from a car rental company to instantiate our ontology.
We conducted a literature review to identify research works on the conceptualisation and modelling of the organisational transformation phenomena. We collected, classified, and synthesised the literature findings. In particular, we are interested in studies that investigate the differences between the terms organisational transformation and organisational change; the concepts, constructs, conceptualisations and definitions of these two terms, and the conceptual models, ontologies, strategies and theories used to represent or explain them.
The objective of the literature review was to use its outcome to define the knowledge to be represented by COOT (its functional requirements according to SABiO) and respond to the competence questions that the ontology should answer. The literature review was conducted based on the guidelines provided by (Kitchenham et al., 2009; Boell and Cecez-Kecmanovic, 2015). We selected the following sources for our search: ACM Digital Library, AISeL, EBSCO (includes IEEE Xplore Digital Library, Science Direct and Emerald Insight), Scopus, Google Scholar, and Springer Link.
We acknowledge that all systematic studies are limited by the search string being used. We included in our search string all variations of the terms related to organisational transformation and organisational change. As always, some works might be left out of the analysis, albeit potentially relevant to the domain at hand. The main findings from the literature review are presented below.
Organisations’ environments have been changing rapidly for them to survive and prosper (Binder and Clegg, 2007). Organisations themselves are increasingly executing complex transformations, such as mergers and splits, chain redesign, sharing and sourcing, and the rationalisation of products, processes and systems (Op’t Land et al., 2009; Op’t Land and Dietz, 2012). Thus, organisations require a broader definition to incorporate, as a single autonomous legal entity, the collaborative relationships outside its boundaries demanded by globalisation, outsourcing and virtualisation.
Organisational change: Revolutionary or evolutionary?
The topic of organisations and their transformations is not new. Porras and Silvers (1991) studied organisational change as an intentionally planned response, which can be classified into two general types: organisational development and organisational transformation. Organisational change can be planned or unplanned; it can also be revolutionary (organisational transformation) or evolutionary (organisational development). Most planned organisation changes are evolutionary regarding an organisation’s day-to-day adaptations (Burke, 2017). In this article, we study organisational transformation or revolutionary change (also referred to as disruptive, strategic or radical change) as directed primarily to create a new vision for the organisation (Porras and Silvers, 1991).
Several different categorisations for organisational changes are described in the literature. Hernaus (2008) and Purchase et al. (2011) differentiate change-related practices, for example, by their level of impact, scope, speed, focus, structure and nature. These classifications are not exhaustive, and they intertwine with each other. The change approaches differ conceptually in their content (what changes) and process (how the change occurs). Specifically, Purchase et al. (2011) specify what transformation means by illustrating the contrasting levels of significance or the extent of the desired changes and the impacts of such changes from three perspectives – as a response to radical changes in the economic, market, or social environment; a fundamental alteration of context; and a step change in performance – as criteria for distinguishing transformation from other more modest forms of change.
Moreover, it is interesting to observe that every organisation is a “world” with a particular view that influences what its members see and let in from the world outside. To some degree, this view inadvertently or deliberately selects what is shared, sometimes explicitly, sometimes implicitly (Sheldon, 1980). It can justify why the same transformation is successful in one organisation and not in another with similar characteristics (such as belonging to the same market segment and having similar products or services). Another approach to distinguishing transformation is the modification of context.
For Rouse (2005), enterprise is used as a synonym for ‘organisation’. Thus, enterprise transformation is at least partly driven by the external context, i.e., the economy and markets. The economy affects the markets, which, in turn, affects enterprises. The enterprise system is constituted by its input, output, state, and work processes. The concept of “state” is central to the theory of enterprise transformation. Other important constituents of an enterprise state include market advantage, brand image and employee and customer satisfaction. This author proposes that enterprise transformation is concerned with changes that substantially alter an organisation’s relationships with one or more key constituencies, e.g., customers, employees, suppliers and investors. Transformation can involve new value propositions regarding products and services, how they are delivered and supported, and how the organisation provides these offerings.
The motivation for organisational transformation
Although organisational transformation had become a central theme for researchers from various fields, given the large volume of publications and their various scopes and objectives, to the best of our knowledge, the most recent publications that state the problem of the lack of conceptualization are (Purchase et al., 2011; Rouse, 2005). According to Rouse and Baba (2006), the motivation for organisational transformation can be stated in terms of value deficiencies, work processes, decision making and social networks. Thus, they elaborate on two broad and complementary perspectives on transformation, namely the technical problem to be solved and the behavioural, social context and mechanisms of transformation, to contrast them and raise important issues concerning what to measure, how to collect data, and what tools are needed to model and manipulate these findings.
Živković et al. (2011) established that beyond the technical and social-technical perspectives, organisational transformation also needs to be supported by an appropriate process, as it involves all the organisation’s components, such as organisational culture, structure, strategy, management style, systems, personnel skills and shared values. However, the course of the change process depends on the content of the organisational changes. Moreover, the contents of organisational changes depend on the organisation itself and the chosen business model. Besides, for Živković et al. (2011) and Burke (2017), in a constantly changing world, the organisation is an open system that affects and is affected by its environment. For example, Živković et al. (2011) related organisational changes like mergers, takeovers and changes in ownership structure to the organisation’s age and size, its leader, business strategy and technology. However, it is crucial to remember that organisations are increasingly interconnected with other organisations located in different parts of the world, which also influence their new ways of creating value, including for their customers and partners (Keen and Qureshi, 2006). Furthermore, the characteristics of these organisational changes may also change (Živković et al., 2011).
According to Ismail et al. (2017), the work on the transformation of organisations can start at an external, internal or holistic point or a combination of them. External means, for example, when the focus is on enhancing the customer experience, eventually altering the organisation’s entire life cycle. Internal, on the other hand, means the transformation affects business operations, decision-making and organisational structures. Moreover, all business segments and functions are affected holistically, often leading to entirely new business models.
Some internal and external factors can motivate an organisation’s competitive transformation strategy towards pursuing sustainable competitive advantages (Ismail et al., 2017) and designing new value propositions. For Porter et al. (1996), competitive strategy is about being different in the following sense: deliberately choosing a different set of activities to deliver a unique mix of values different from those of rivals. By choosing the way to compete, a company makes organisational priorities clear.
Business model and organisational transformation
A business model can transform an organisation through a fundamental statement of direction and identity. However, a business model is not a strategy (Keen and Qureshi, 2006). The business model design is a schema of the organisation’s critical resources, transactions, and value proposition. A business model describes how an organisation creates, delivers, and captures value (Bock et al., 2020).
A business model is a hypothesis regarding who the customers are, what they value, and how the organisation will profit by delivering that value. The business model is a narrative that must be stated and helps mobilise leading stakeholders, including investors, customers, suppliers and other partners.
Keen and Qureshi (2006), Bock et al. (2020), besides other authors study business model design and organisational transformation because, despite the numerous practice-based approaches to business model design, there needs to be a greater understanding of why and how business models change.
Linz et al. (2017) argue that most established organisations have fine-tuned their business models to stay aligned with environmental changes, but these authors have yet to question their types of business model. Even though organisations know their business models inside out, sporadic changes and external trends pressure stable business models. The competition in innovation has shifted from technological and process innovation to business model innovation because start-ups, niche players and small and medium-sized businesses with relatively limited investments have the means to challenge established players.
Hernaus (2008) offers examples of transformation support frameworks. These transformation models generally comprise strategy, work processes, structure, management processes, reward systems, people competencies strategy, technology, business processes, people, management system, social system, behavioural system, critical competitive factors, culture, structure, internal economy, methods and skills, measurement instruments and reward systems.
Core Ontology of Organisational Transformation (COOT)
The Core Ontology of Organisational Transformation (COOT) aims to provide constructs central to creating a reference model of organisational transformation with its inherent social characteristics. COOT’s purpose and intended uses are to share a common understanding of organisational transformation and to enable the knowledge to be reused by interested organisations and researchers, either for integrating or extending it with other ontologies.
The following Competency Questions (CQs) were established to determine COOT’s precise scope:
CQ1. What is the organisation to be transformed?
CQ2. How to characterise organisational transformation?
CQ3. What motivates an organisational transformation initiative?
CQ4. How does an organisational transformation initiative emerge?
CQ5. Who are the agents involved in an organisational transformation?
CQ6. What are the roles of the agents involved in an organisational transformation?
CQ7. What organisational values are associated with organisational transformation?
CQ8. What factors enable organisational transformation?
CQ9. What are the transformable entities that originate in, and result from, an organisational transformation?
CQ10. What are the steps followed in an organisational transformation?
We used the literature review reported in Section 3.2 to identify the most important domain notions and formulate this ontology’s competence questions (SABiO’s phase 2). The results are reported in the next section. The concepts discussed here are the basis for the ontological choices when creating an ontology. In the models, we indicate the concepts of UFO and COVER which have been directly reused (by using the proper prefix UFO: Concept or COVER: Concept), and which have been extended (by using subtyping relations towards reused concepts). Some other concepts are based on notions correlated with other ontologies but are not directly reused. These are indicated in Table 2.
Concepts based on other ontologies
Concepts based on other ontologies
In the following sections, several concepts related to organisational transformation are analysed and represented in the ontology modules comprising COOT.
The two central concepts of COOT are the organisation and its transformation. In the following text, the terms written in

The organisation, its parts, members, intentions, and assets.
The first of these modules of COOT is depicted in Fig. 3. This module directly extends some categories from UFO-C (see Fig. 1), namely Agent and Social Agent, Intention and Closed Intention, Normative Description, Social Relator, Plan, and Role. Two new kinds of agents are established:
An
These are relations of functional parthood and, hence, material relations in the sense of Guizzardi (2009).
In fact, an
A
The notion of organisational membership is akin to the notion of affiliation put forth by Bottazzi and Ferrario (2009). The authors define affiliation as “the conditions under which agents are a member of organisations”. Agents are affiliated with organisations by playing certain roles and undertaking rights and obligations associated with those roles. In our proposal, the connection between organisation members and (organisational) roles is established via membership relators, which are social/legal contracts, thus, entailing properties such as duties, rights, powers, etc. (Griffo et al., 2021). Although position assignments bind particular members to organisations, positions themselves can exist even if they are vacant – a notion not countenanced in Bottazzi and Ferrari’s original proposal. Both proposals allow non-human agents to be members of organisations. Finally, the notion of membership proposed here is more general than binding members to organisational positions. Hence, agents can be members of organisations without being their functional part, i.e., without occupying these “minimal units” of the organisation. In any case, as for Bottazzi and Ferrario, all memberships are bound to organisational roles and entail social/legal contractual properties.
All agents are able to bear intentions. A
Figure 4 shows the COOT module dealing with organisational transformation’s motivational aspects. Central to this model is a generalisation of the notions of Value Ascription and Risk Assessment from COVER (Sales et al., 2018) into the notion of
We thank João Paulo Almeida for suggesting the use of this term here.
As discussed in (Sales et al., 2018), a value experience is an event in the sense of (Guarino, 2017). These non-classical kinds of events are represented here with the stereotype «variable event».

Motivation for transformation.
A
The COOT module addressing a transformation initiative is depicted in Fig. 5. Here we have

The transformation initiative.
A
The
An

The transformation event.
The final module of COOT, as presented in Fig. 6, focuses on
As with all Events,
More specifically, an
Evaluation of COOT
COOT was evaluated following the guidelines proposed by SABiO (de Almeida Falbo, 2014). The two steps of the evaluation are Verification and Validation. We took a similar approach to the works of (Brank et al., 2005) and (Suarez-Figueroa et al., 2013) as the basis to evaluate the coverage and precision criteria of COOT, that is by using the ontology in an application (i.e. the case of Keyn’Go) and evaluating the results. The CQs are in non-sequential order to facilitate the narrative of the case.
The Verification step is an assessment-by-human approach to ontology evaluation and was performed manually, confirming that the concepts and relations defined in COOT were able to answer the competency questions, as shown in Table 3.
COOT verification by competency questions
COOT verification by competency questions
As for the Validation and Test Case Design, since a reference ontology should be able to represent real world situations, in order to validate COOT, its concepts and relationships were instantiated using data extracted from the Key’n Go® project. The Key’n Go® project was launched as a new digital business model at InterRent®, a car rental company of the Europcar® Group. Established in more than 140 countries, Europcar® is currently one of the main players in the car rental industry. The car rental business is a relevant sector, considering the growth of mobility systems in recent years and projections for the future (Lazov, 2017).
By instantiating concepts, test cases can be designed for the competency questions to ascertain whether the ontology can answer them when instantiated in real case scenarios. In the following paragraphs, each competency question is highlighted in bold at the beginning of the corresponding paragraph, and the terms marked in

Mental aspect of the organisational transformation.

The Keyn’Go® transformation event and initiative.
The Organisation to be transformed is InterRent®, a car rental company recognised as a
As with other car rental companies, in building a profitable rental operation (Value Ascription), InterRent® encountered challenges such as establishing service with “satisfactory” Value for customers. Given the market challenges, the InterRent® board decided to hear from its customers and interacted with them using a Customer Focus Group as a
InterRent® interacted with customers through a Customer Focus Group initiative to review the entire customer process and experience, collect data and identify problems. InterRent® then set up a group to examine the findings of the Customer Focus Group. This same
After that, InterRent® perceived (
One type of intention is closed intention, which is a commitment to pursue a Goal in a specific way. A Closed Intention is constrained by a particular type of Universal Action (termed a Plan in UFO-C, and a
A
Figure 7 depicts the model of the mental aspect of the
The Agents of the Key’n Go Project (
A
The Key’n Go® Project was a
The Beliefs that gave grounds for forming the (internal) commitment termed a
In such transformations, there are always entities to be transformed. These are termed
The customer journey process was one of the main examples of a
The Key’n Go® Project reviewed the entire customer journey process and defined a new path by eliminating each pain point one after another without jeopardising the promise of quality service for a fair price (Value Proposition). InterRent® changed certain
COOT’s goal is to represent what an
Concerning COOT Research Question 1 (i.e., “What is an organisational transformation?”), in our instantiated case, InterRent® is an organisation operated by a group of people (staff and managers) that are organised into a commercial structure. This group has a common goal to obtain profit by offering a car rental service, thus sharing the same business objectives and purposes. InterRent® has branches in more than 30 countries. This complex organisation, constituted by other organisations, including organisational units, was represented by means of COOT classes and relationships. InterRent® has internal roles (in COOT, these are
Given an organisation’s dependence on continual interaction with the environment in which it resides, any organisation is an open system (Burke, 2017) that promotes and enforces a set of restrictive guidelines, rules, incentives, and sanctions (Frank, 2011a). InterRent® depends on and continually interacts with the car rental market environment. One example is InterRent®’s motivation towards the Key’n Go® project strategy. The
In COOT, an organisational structure includes roles associated with positions. The positions are described in terms of tasks, responsibilities and required skills. Our case also confirmed the relationships among those concepts because, during the Key’n Go® project, InterRent® was involved simultaneously in a multi-organisational structure. During the project, InterRent® continued operating as usual. While part of the staff was working on the Key’n Go® project, other parts of the same organisation were operating on the current modus operandi of a low-cost segment with their partners and suppliers. In this case, a new rental service is launched, while the other services remain unchanged.
The constructs discussed here allow us to state that, as with all events,
Concerning Research Question 2 (i.e., “What are the potential subjects (of change) in
For instance, in the case of the Business Model baseline (AS-IS Situation), the customer added extra things (such as insurance) in the rental, i.e., the
Concerning Research Question 3 (i.e., “What are the characteristics of a planned
An
Concerning Research Question 4 (i.e., “What are the
An appointment is a type of commitment whose goal is clearly tied to a certain amount of time. For example, a medical appointment (a type of appointment and also transformable entity) is a transformable entity («category») in a hospital
In the InterRent® case, the
A Transformation Initiative is “how to conduct a change” (Joseph and George, 2007). Organisational transformation is also referred to as business transformation (Safrudin et al., 2011; Maguire et al., 2008; Trad and Kalpic, 2017; Lee and Ivan, 2006), a roadmap (Joseph and George, 2007), and even a paradigmatic change (Sheldon, 1980). COOT captured those concepts from the literature and precisely describes what an organisational transformation is, how a planned organisational transformation event is characterised and what the outcomes from an organisational transformation are. COOT was able to cover the situations before and after the Key’n Go® project and its effects, to provide a clearer picture of the project by making the transformable entities explicit, along with the related desires, goals and needs of the value-ascribing stakeholders.
We searched for other ontologies that represent the concept of organisational transformation and, to the best of our knowledge, only one work was considered comparable to COOT. The work reports a preliminary integrated domain ontology – the Domain Ontology for Organisational Change (DOOC) – for articulating the scope of organisational change, with the intention to provide a foundation for developing interactive communication methods and tools to enable effective stakeholder engagement (Harris, 2018). Comparing DOOC and COOT competency questions (see details in Table 4), we conclude that while DOOC is related to change in general, which can be a transformational or developmental change, the scope of COOT is focused on transformational change. Moreover, DOOC focuses on what changes and why, whereas COOT covers concepts from the motivation for transformation to the conception of the transformation initiative, i.e., “How to transform?”. The general scenarios addressed by DOOC are related to engaging stakeholders in a collaborative definition of the scope of a change (why change?) and communicating the scope of organisation change to all affected stakeholders (what changes?).
One interesting difference between COOT and DOOC is that COOT considers all agents involved in an organisational transformation, whereas DOOC considers only the stakeholders who would benefit from the changes. The COOT competency questions CQ1, CQ2, CQ4, CQ6 and CQ10 are beyond the scope of DOOC. Regarding COOT CQ1 (What is the organisation to be transformed?) and CQ2 (What conceptualisations characterise organisational transformation?), DOOC does not address the concepts of Organisation and Organisational Change. It assumes that an organisational unit is “a defined group of responsibilities for accomplishing a specific purpose” and represents this entity as such. Conceptualising organisation is essential to COOT, because its parts, namely organisational units, can also be objects of a transformation (transformable entities).
Competency questions comparison
Competency questions comparison
Regarding COOT CQ4 (i.e., “How does an organisational transformation initiative emerge?”), DOOC concepts respond to the “what changes” question by “identifying any of the organisation’s operational structures and outputs where changes are needed to achieve the desired outcomes”, but it does not explain whether this change arises spontaneously or not. In COOT, in addition to operational structures and outputs, other organisational components, such as the strategy or the business model, are also subject to transformation, which is a type of change. The organisation itself is subject to change, for example, in a merger or acquisition. This characterisation is important because it is used as a basis for definitions and modelling in COOT.
Regarding COOT competency question CQ6 (i.e., “What are the roles of the agents involved in an organisational transformation?”), in DOOC, the motivation for change comes from stakeholder perceptions, without highlight the stakeholders role, and the organisation has certain goals in response to these perceptions. COOT, on the other hand, takes a broader perspective, i.e., change contemplates all agents that may be involved (for example, in the car rental company project, these involve customers, brokers and front office clerks).
Finally, concerning COOT CQ10 (i.e., “What are the steps in an organisational transformation?”), change steps are not part of the scope of DOOC.
The broader purpose of this study is to provide an explicit specification to guide the development of digital transformation initiatives. This paper aims to clarify the notion of organisational transformation and its related concepts based on an ontological analysis of the Digital Transformation and Innovation Business Process Management Ontology (DT&I-BPM-Onto), a domain ontology, and UFO. First, the organisational transformation concepts were revisited, and a detailed model was elaborated, establishing the understanding of business, organisation, agents, roles, business value proposition, organisation offering, transformable object and transformation initiative, as well as the dynamics of organisational transformation, grounded in UFO.
This paper’s main contribution is that it investigates the subject of organisational transformation and provides an unambiguous conceptual foundation for this domain based on an extensive literature review that captured the domain of interest through a collection of classes organised into a conceptual model. The formalism of UFO provides greater precision when defining domain-independent concepts and provides a solid theoretical basis to underpin the construction of specific vocabularies for each domain. With UFO, it was thus possible to take a step back and provide an in-depth conceptualisation of the root of the problem of organisational transformation, which will ultimately foster advancements in understanding change in a digital world. A new version of DT&I-BPM-Onto (now called DTO) will be grounded in UFO. Some classes of this ontology are already presented in this paper.
Future work will include incorporating COOT into DT&I-BPM-Onto and conducting an ontological analysis of all DT&I-BPM-Onto sub-domains. As this article considers Organisational Transformations, which may or may not be Digital Transformations, we also plan to use the ontology to analyse Digital Transformation cases and verify its feasibility to support Digital Transformation initiatives consistently.
In addition, the conceptual reference ontology proposed here will be further codified with the support of gUFO – a lightweight implementation of UFO in OWL 2 DL (Almeida et al., 2019b). The resulting artefact could then be used to support automated reasoning in semantic web organisation transformation initiatives.
Finally, in the spirit of works such as Nardi et al. (2013) for the domain of services, Azevedo et al. (2015) for capabilities, Amaral et al. (2020) for trust management, Sales et al. (2019) for value modelling, Sales et al. (2018) for risk modelling, and Oliveira et al. (2022) for Enterprise Risk Modeling, we intend to employ the ontology proposed here to provide an ontology-based evaluation and redesign of the Enterprise Architecture Standard Archimate regarding its support for Organisation Transformation, i.e., the so-called Archimate Migration and Implementation Layer (Josey et al., 2016).
Footnotes
Acknowledgements
This work has been partially supported by Portuguese National funds through FITEC – Programa Interface, with reference CIT “INOV – INESC Inovação – Financiamento Base”.
