Digital Transformation Organisational Change Systematic Literature Review

Introduction

Digital transformation has become one of the most frequently invoked, and least precisely defined, constructs in contemporary management scholarship. Over little more than a decade it has migrated from the vocabulary of information systems practitioners into the core concerns of strategy, organisation theory, marketing and operations research. The phenomenon it names is deceptively broad: the use of digital technologies to reconfigure the value propositions, operating models, structures and routines of organisations in ways that are qualitatively distinct from earlier waves of information technology adoption. What makes the topic analytically demanding is precisely this breadth. Digital transformation is simultaneously a technological, strategic, structural and cultural phenomenon, and the literature that studies it is correspondingly fragmented across disciplinary boundaries that rarely speak to one another.

This fragmentation matters for doctoral research. A candidate entering the field confronts a body of work that is large, fast-growing and terminologically inconsistent, in which the same word is used to describe very different organisational realities and in which cumulative theory-building is hampered by the absence of shared definitional foundations. A systematic literature review is therefore not merely a preliminary formality but a substantive contribution in its own right: it imposes a transparent, reproducible structure on a sprawling evidence base, surfaces the theoretical lenses that have been mobilised, and locates the gaps that a programme of empirical work might credibly address. This chapter is written as a model of how such a review can be conducted and reported at doctoral standard.

Background and Rationale

The intellectual roots of the current debate lie in a long tradition of research on the organisational consequences of information technology. Early work established that technology and organisation are mutually constitutive rather than independent, and that the effects of a given technology are produced in use rather than fixed in the artefact (Orlikowski, 1992). This insight remains foundational, because it cautions against the technological determinism that still colours much practitioner discourse on digital transformation. Where the present wave of scholarship departs from its antecedents is in the scale, pervasiveness and generativity of the technologies involved. Cloud computing, mobile connectivity, data analytics, platform architectures and, more recently, machine learning are not discrete systems bolted onto an unchanged organisation; they are infrastructural conditions that reshape the boundaries of the firm, the locus of innovation and the very logic by which value is created and captured (Nambisan et al., 2017).

Against this backdrop, the past decade has produced a proliferation of conceptual papers, maturity models, case studies and, latterly, large-sample empirical studies. Influential reviews have attempted to consolidate the field, offering integrative frameworks and research agendas (Vial, 2019; Verhoef et al., 2021; Hanelt et al., 2021). Yet each of these contributions also documents persistent problems: definitional pluralism, a bias toward large incumbent firms in developed economies, an over-reliance on cross-sectional and retrospective designs, and a weak connection between the rich practitioner literature and the theoretical traditions of organisation studies. These are not merely gaps to be filled but structural features of a field still in the process of consolidating. A doctoral review is well placed to interrogate them systematically, which is the purpose this model pursues.

It is worth being explicit at the outset about why digital transformation resists the analytical tools developed for earlier technological changes. Three properties of digital technologies combine to produce effects that are qualitatively, and not merely quantitatively, novel. The first is reprogrammability: a digital artefact can be repurposed after it has been built, so that its functions are not fixed at the point of design but remain open to reinterpretation in use. The second is the homogenisation of data: once information of any kind is rendered in digital form it becomes separable from the device that captured it and recombinable with other data, dissolving boundaries between previously distinct industries and products. The third is the generativity of digital infrastructures, their capacity to produce unprompted change through the independent contributions of a large and uncoordinated population of actors. Together these properties mean that the organisational consequences of digital technologies cannot be fully anticipated, cannot be contained within the firm that adopts them, and cannot be managed as a one-off implementation project. This is why the literature increasingly treats digital transformation as a continuous condition rather than a discrete event, and why a review of that literature must attend as much to its theoretical assumptions as to its empirical findings.

Review Aim and Research Questions

The aim of this review is to synthesise, appraise and map the scholarly literature on digital transformation and organisational change, with a particular emphasis on how the two are theorised in relation to one another. The review is organised around four questions:

• RQ1. How is digital transformation conceptualised across the management literature, and how is it distinguished from adjacent constructs such as digitisation and digitalisation?
• RQ2. Through what mechanisms does digital transformation drive, and interact with, organisational change in strategy, structure, capabilities and culture?
• RQ3. Which theoretical perspectives dominate the field, and with what consequences for the cumulative development of knowledge?
• RQ4. What theoretical and methodological gaps remain, and what research agenda do they imply for doctoral and subsequent inquiry?

The remainder of the chapter proceeds as follows. It first sets out the search strategy and review methodology in sufficient detail to be reproducible. It then presents a bibliometric overview of the illustrative corpus assembled for this model. A four-theme synthesis follows, after which the evidence base is critically appraised. The penultimate section articulates a theoretical gap analysis and research agenda, and the chapter closes with a short conclusion.

Search Strategy and Review Methodology

The review follows the established three-phase logic for systematic reviews in management research, in which planning, conducting and reporting are treated as distinct and documented stages (Tranfield, Denyer and Smart, 2003). Reporting is structured in accordance with the PRISMA 2020 guidance, which provides a checklist and flow logic for transparent accounting of records identified, screened, excluded and retained (Page et al., 2021). The intention throughout is methodological transparency: a reader should be able to reconstruct the corpus and, in principle, reproduce the selection decisions.

Information Sources and Search Terms

Two multidisciplinary citation databases, Scopus and Web of Science, were designated as the primary information sources because of their coverage of peer-reviewed management, information systems and organisation research and their support for structured query syntax and bibliometric export. The search was confined to peer-reviewed journal articles and review articles published in English between January 2010 and December 2025, a window chosen because the construct of digital transformation, as distinct from earlier notions of e-business or IT-enabled change, consolidated during this period. The search string combined a technology-and-transformation block with an organisation-and-change block using Boolean operators, applied to titles, abstracts and author keywords. The illustrative search architecture is summarised in the table below.

Both British and American spelling variants were included, since author keywords are inconsistent on this point, and truncation was used to capture derivatives of key terms. The search was supplemented by backward and forward citation tracking of the most influential review articles, a step that mitigates the well-known tendency of database queries to miss conceptually central but idiosyncratically titled work.

Inclusion and Exclusion Criteria

Explicit eligibility criteria were specified in advance to reduce selection bias. Studies were included where they were peer-reviewed, published within the review window, written in English, and substantively concerned with the relationship between digital technologies and organisational change at the level of the firm or business unit. Studies were excluded where digital transformation featured only as incidental context, where the focus was purely technical with no organisational dimension, where the unit of analysis was the individual consumer rather than the organisation, and where the output was an editorial, conference abstract or non-peer-reviewed practitioner note. Sector was not used as an exclusion criterion, in order to preserve the breadth needed for a mapping review, but sector was recorded as a coding variable.

Screening and Selection

Screening proceeded in the standard two stages. Titles and abstracts were first assessed against the eligibility criteria, and records that clearly failed were removed. The remaining records were then retrieved in full and assessed in detail. To illustrate the reporting discipline expected at doctoral level, the selection flow for this model corpus is set out below; the figures are illustrative of the process rather than claims about the field as a whole.

Documenting exclusions with reasons is central to the credibility of a systematic review. In this illustrative corpus the commonest reasons for exclusion at full text were a purely technical orientation, treatment of digital transformation as background rather than object of study, and the absence of any theoretical framing that would allow the study to contribute to the synthesis. Recording these reasons allows a reader to judge the defensibility of the boundary that has been drawn around the field.

Quality Appraisal Approach

Because the included studies spanned conceptual, qualitative and quantitative designs, a single checklist would have been inappropriate. Instead, a design-sensitive appraisal was adopted. Conceptual contributions were appraised for the clarity and originality of their argument and their grounding in prior theory; qualitative studies for the transparency of sampling, data collection and analytic procedure and for the plausibility of the link between data and claims; and quantitative studies for construct validity, sampling adequacy and the appropriateness of inference. Appraisal was used not to exclude studies mechanically but to weight their contribution to the synthesis, so that strongly designed studies carried greater interpretive weight than weakly specified ones. This approach reflects the consensus that quality appraisal in management reviews should inform interpretation rather than operate as a crude filter.

Data Extraction and Coding Framework

A structured data-extraction protocol was applied to every included study to ensure that the synthesis rested on systematically gathered evidence rather than on the reviewer’s selective recall. For each study, descriptive attributes were recorded first: authorship, year, outlet and disciplinary home, geographic setting, sector, organisational size, and research design. A second layer of coding captured the substantive content of the study, including the definition of digital transformation adopted or implied, the theoretical lens mobilised, the dimensions of organisational change examined, the antecedents and outcomes considered, and the principal findings. A third, interpretive layer recorded the reviewer’s appraisal of methodological quality and the study’s distinctive contribution to each of the review’s four questions.

The coding framework was developed iteratively. An initial deductive scheme, derived from the research questions and from the integrative frameworks already present in the field, was applied to a pilot subset of studies and then refined inductively as categories that the pilot revealed, but the initial scheme had not anticipated, were incorporated. This hybrid approach combines the discipline of a priori categories with the openness needed to capture concepts the literature itself generates. A reflexive audit trail recorded the rationale for each coding decision and each revision of the scheme, so that the path from individual study to synthesised theme is traceable. Although a single-reviewer process cannot claim the inter-rater reliability of a team review, documenting decisions in this way is the accepted means of demonstrating rigour in a doctoral review conducted by one researcher, and it is the standard this model is written to illustrate.

Bibliometric Overview of the Corpus

Before synthesising the substance of the literature, a bibliometric overview was produced to map the structure of the field. Bibliometric mapping complements narrative synthesis by making visible patterns that are difficult to perceive through reading alone: the trajectory of scholarly attention, the intellectual communities that cluster around shared references, and the conceptual vocabulary that organises the debate. The descriptive statistics and co-occurrence structures reported here are derived from the illustrative corpus and are presented to demonstrate method rather than to assert field-level facts.

Publication Trends and Growth

The temporal distribution of the corpus follows the pattern characteristic of an emerging and then consolidating field. Output was sparse in the early part of the window, with a small number of conceptual and practitioner-facing contributions establishing the vocabulary of digital transformation. From the middle of the 2010s the annual output rose steeply, with a pronounced inflection after 2017 as the topic entered the mainstream management journals and as large-sample empirical designs began to appear alongside conceptual pieces. In the illustrative corpus roughly four in five included studies were published in the second half of the review window, a concentration that has an important methodological implication: much of the field’s theoretical architecture was laid down recently and has not yet been subjected to sustained replication or longitudinal testing.

The disciplinary origins of the corpus are similarly informative. Information systems and strategic management journals accounted for the largest shares, followed by general management, innovation and marketing outlets. This distribution signals both the strength and the weakness of the field. Its strength is multidisciplinary vitality; its weakness is that the disciplines tend to cite within rather than across their own traditions, so that insights generated in one community diffuse only slowly to the others.

The geographic distribution of the illustrative corpus reinforces a concern taken up in the appraisal. The empirical settings of the included studies clustered heavily in North America and Western Europe, with a smaller but growing contribution from East Asia and only a sparse representation of Latin American, African and South Asian contexts. Because institutional environments, factor-market conditions and the maturity of digital infrastructure vary enormously across these settings, a body of evidence so concentrated cannot safely be assumed to travel. The point is not that the existing studies are wrong but that their scope conditions are rarely stated, so that readers are left to infer for themselves whether a finding generated in a large Western incumbent applies to a resource-constrained firm in a different institutional setting.

Co-citation Structure and Intellectual Base

A co-citation analysis, which examines which prior works are repeatedly cited together and so reveals the intellectual base on which the field draws, produced a structure with an instructive shape. A tightly connected core of recent integrative reviews and conceptual statements was co-cited across almost the entire corpus, indicating that the field has rapidly converged on a small number of anchoring references (Vial, 2019; Verhoef et al., 2021; Matt, Hess and Benlian, 2015). Surrounding this contemporary core was an older stratum of foundational theory, including the dynamic capabilities perspective and the sociotechnical and process traditions of organisation studies (Teece, 2007; Orlikowski, 1992). The relationship between these two strata is revealing: the recent core is densely interconnected, whereas the links back to the foundational stratum are comparatively thin and run through a limited number of bridging papers.

This pattern has a double significance. On the one hand, rapid convergence on shared anchors is a sign of a maturing field acquiring a common vocabulary. On the other, the thinness of the connection to the deeper theoretical base suggests that much recent work engages with foundational theory at second hand, through the integrative reviews, rather than drawing directly on the primary sources. A field that cites its own recent reviews more readily than the theory those reviews rest upon risks a form of intellectual short-circuiting, in which assumptions are inherited without being examined. Recognising this structure is itself part of the contribution a bibliometric mapping can make to a doctoral review, because it identifies precisely where the most productive theoretical re-engagement is likely to lie.

Keyword Co-occurrence and Thematic Clusters

A keyword co-occurrence analysis of the corpus produced a small number of densely connected clusters, which were used to inform, though not to determine, the thematic synthesis that follows. Three clusters were especially prominent, and are summarised below with illustrative representative terms.

The co-occurrence structure also revealed a loosely connected definitional discourse that sits across all three clusters, in which authors devote considerable attention to distinguishing digital transformation from digitisation and digitalisation. This cross-cutting conversation is treated as a theme in its own right in the synthesis below, because the way a field defines its central construct conditions everything that follows from it.

Thematic Synthesis

The synthesis is organised into four themes derived from the integrated reading of the corpus and informed by the bibliometric structure. The themes are not mutually exclusive; rather, they represent distinct but interlocking conversations within the literature. Each is presented with attention both to what is known and to the limits of what is known, consistent with the appraisal-led stance adopted for this review.

The logic of the four-theme structure is cumulative. The first theme addresses the prior question of what digital transformation is, because the integrity of everything that follows depends on conceptual clarity. The second examines the content of transformation, what changes in a firm’s strategy and model when it transforms. The third turns inward to the organisational capacity that makes such change possible, and the fourth to the human agency through which that capacity is exercised or frustrated. Read in sequence, the themes trace a path from definition through strategic content to internal capability and finally to human enactment, which is also, in broad terms, the path a transformation itself must travel. The connections among the themes are at least as important as their distinctions, and the synthesis draws attention to these connections wherever the literature permits, because it is in the under-theorised spaces between the established conversations that the most promising research questions tend to lie.

Theme 1: Conceptualising Digital Transformation

The first and most persistent concern in the literature is definitional. A recurring move is to distinguish three levels of digital engagement: digitisation, the conversion of analogue information into digital form; digitalisation, the use of digital technologies to improve existing processes; and digital transformation, a more profound reconfiguration of value propositions, operating models and organisational identity. The most influential integrative review in the field defines digital transformation as a process in which digital technologies trigger disruptions to which organisations respond by pursuing changes in their value creation paths while managing the structural and barrier-related tensions that ensue (Vial, 2019). This process-oriented conception is valuable because it foregrounds response and adaptation rather than technology adoption alone, and because it explicitly incorporates the tensions and barriers that qualitative work repeatedly observes.

A complementary multidisciplinary synthesis frames digital transformation as a phased phenomenon moving from digitisation through digitalisation to transformation, and argues that genuine transformation entails changes not only to the firm but to its surrounding ecosystem and to the metrics by which performance is judged (Verhoef et al., 2021). The practitioner-oriented strand reaches a similar conclusion through a different route, insisting that transformation is driven by strategy and leadership rather than by technology itself, and that the decisive variable is managerial capability to envision and orchestrate change rather than the sophistication of the technology deployed (Kane et al., 2015; Westerman, Bonnet and McAfee, 2014).

Despite this apparent convergence, definitional pluralism persists. Some authors treat digital transformation as an outcome, a state a firm reaches; others as a process, something a firm does; and others as a strategic posture, a way a firm orients itself to a changing environment. These are not trivial differences, because they imply different dependent variables, different units of analysis and different criteria for judging success. A study that treats transformation as an outcome will measure the extent of technological integration; one that treats it as a process will trace sequences of change over time; one that treats it as a posture will examine strategic intent. The field’s failure to resolve, or at least to be explicit about, this ambiguity is a significant obstacle to cumulative knowledge, and it is a point to which the gap analysis returns.

A further definitional fault line concerns the scope of the phenomenon. A narrow reading confines digital transformation to the firm and its deliberate strategic choices; a broad reading extends it to the reconfiguration of entire value networks, industries and institutional fields, in which no single firm is the author of the change and all are, to some degree, its subjects. The broad reading is more faithful to the generativity of digital technologies, but it strains the managerial vocabulary of strategy and choice that much of the literature continues to employ. The resulting tension, between a phenomenon that is supra-organisational in its dynamics and a literature that remains firm-centric in its framing, is seldom confronted directly. It surfaces instead as a recurring awkwardness, in which authors acknowledge ecosystem-level change in their introductions and then revert to the firm as the unit of analysis in their empirical work.

For the purposes of this review, the most defensible position is not to adjudicate between these conceptions but to hold them in view simultaneously and to be explicit about which is in play at any given point. Digital transformation is best understood as a multi-level phenomenon in which technological change at the infrastructural level creates conditions to which firms respond strategically and which they enact, successfully or otherwise, through organisational change. Each level requires its own concepts and methods, and much of the confusion in the literature arises from the importation of concepts appropriate to one level into the analysis of another. This layered reading informs the synthesis that follows and is developed into a research recommendation in the gap analysis.

Theme 2: Strategy, Business Models and Value Reconfiguration

The second theme concerns the strategic content of transformation: what actually changes when a firm transforms. A substantial body of work argues that the most consequential changes occur at the level of the business model, as firms move from product-centric to service-centric and platform-centric logics, from linear value chains to networked value ecosystems, and from internally generated innovation to distributed, user- and partner-involved innovation (Nambisan et al., 2017). On this account, digital technologies do not merely make existing activities more efficient; they alter the architecture of value creation and capture, enabling new revenue models, new forms of customer relationship and new competitive dynamics in which the relevant unit of competition is often the ecosystem rather than the firm.

Scholarship on digital transformation strategy has sought to give this process managerial structure. Influential frameworks identify the dimensions along which a transformation strategy must be deliberately shaped, including the use of technologies, changes in value creation, structural changes, and the financial aspects that both constrain and are reshaped by transformation (Matt, Hess and Benlian, 2015; Hess et al., 2016). The contribution of this strand is to treat digital transformation as an object of strategic choice rather than an exogenous force, and to insist that a digital transformation strategy is distinct from, though necessarily aligned with, both the overall business strategy and the functional IT strategy. The weakness of the strand is its tendency toward prescriptive frameworks that are rarely tested against failure cases, so that the conditions under which the prescriptions hold remain underspecified.

Across this theme, value reconfiguration is repeatedly shown to be contingent. The same technology enables radically different business-model responses in different firms, and the determinants of that variation, including prior resource endowments, the structure of the industry, and the firm’s position in its value network, are better catalogued than explained. There is, in short, rich description of what changes and comparatively thin theory of why the same digital opening produces transformation in one firm and mere optimisation in another.

A recurring analytical distinction within this theme separates efficiency-oriented from innovation-oriented transformation. In the efficiency mode, digital technologies are deployed to do existing things better: to automate processes, reduce transaction costs and extract value from data about current operations. In the innovation mode, the same technologies are used to do new things altogether: to create offerings, revenue models and customer relationships that did not previously exist. The literature is clear that these modes demand different organisational arrangements, that the efficiency mode is more readily accommodated within existing structures while the innovation mode typically requires some degree of structural separation, and that firms frequently mistake the former for the latter, declaring themselves transformed when they have in fact only optimised. This conflation is consequential, because a firm that has improved its existing model is more exposed, not less, to a competitor that has reinvented it.

The platform and ecosystem literature pushes this argument furthest, contending that the most far-reaching transformations invert the traditional logic of the firm. Where a conventional business captures value by controlling a linear sequence of activities, a platform creates value by orchestrating interactions among external producers and consumers whom it does not own and cannot fully direct. Transformation of this kind is not an internal reorganisation but a repositioning of the firm within a wider architecture of value, and it requires competences, in governance, in the design of interfaces, and in the cultivation of complementors, that have no counterpart in the pre-digital firm. Yet because such transformations are rare and concentrated in a handful of celebrated exemplars, the literature’s confident generalisations about them rest on a precariously small and unrepresentative evidence base, a limitation the critical appraisal takes up directly.

Theme 3: Dynamic Capabilities, Culture and the Organising Logic

The third theme turns from the content of change to the internal capacity to achieve it. Here the dominant theoretical lens is the dynamic capabilities perspective, which conceptualises competitive advantage in turbulent environments as resting on a firm’s capacity to sense opportunities and threats, seize them through timely resource commitment, and transform its asset base and structures accordingly (Teece, 2007). This framework has been applied extensively to digital transformation, with scholars arguing that transformation depends on a distinctive bundle of digital sensing, digital seizing and digital transforming capabilities that must be built deliberately through an ongoing process of strategic renewal (Warner and Wäger, 2019). The attraction of the dynamic capabilities lens is that it accommodates the continuous, non-terminal character of digital transformation: because the technological environment keeps moving, transformation is less a project with an endpoint than a sustained organisational competence.

Alongside capability, the literature emphasises the organising logic and culture through which capability is exercised. Work on incumbent firms highlights the tension between exploiting established competences and exploring new digital possibilities, and argues that transformation requires firms to hold these in productive balance rather than allowing the established logic to crowd out the new. Culture recurs as both enabler and obstacle: adaptive, experimentation-friendly and data-informed cultures are associated with transformation, whereas risk-averse, siloed cultures are associated with stalled initiatives. Yet culture is frequently invoked as a residual explanation, a label attached to whatever organisational resistance remains once structure and strategy have been accounted for, rather than theorised as a mechanism in its own right.

The microfoundations of these capabilities deserve closer attention than the literature typically gives them. To speak of a firm possessing a digital sensing capability is a convenient shorthand, but the capability is in fact constituted by the routines, decision processes and interpretive habits of identifiable individuals and groups. Sensing depends on who in the organisation is positioned to notice technological signals and whether their interpretations are heard; seizing depends on the governance arrangements that allow resources to be committed quickly and reversibly; transforming depends on the organisation’s ability to reconfigure structures and reward systems without provoking paralysing internal conflict. When the literature treats capabilities as firm-level attributes without tracing them to these microfoundations, it gains parsimony at the cost of explanatory depth, and it offers managers little purchase on the question of how a capability that is currently absent might actually be built.

An important and under-exploited resource for this theme is the older sociotechnical tradition, which insists that technology and organisation are recursively constituted and that the effects of technology are enacted in situated practice rather than determined by the artefact (Orlikowski, 1992). This tradition offers a corrective to the capability literature’s occasional slide into treating capabilities as possessions a firm either has or lacks. Read through a practice lens, capabilities are better understood as patterned activity, continuously accomplished and therefore continuously vulnerable to breakdown. The relative neglect of this tradition in the recent digital transformation literature is itself a finding, and it signals an opportunity for theoretically ambitious doctoral work.

The question of ambidexterity recurs throughout this theme and merits separate comment. Incumbent firms face the problem of transforming while continuing to run the business that funds the transformation, and the literature offers a familiar menu of responses: structural separation of the new digital venture from the established organisation, temporal sequencing of exploitation and exploration, and contextual ambidexterity in which the same units are expected to do both. Each response carries characteristic failure modes. Structural separation protects the new venture but risks its permanent isolation and the eventual reabsorption or expulsion of its innovations; sequencing is vulnerable to the pace of external change outrunning the firm’s internal rhythm; contextual ambidexterity places heavy demands on individuals and can collapse into the dominance of the established logic under pressure. That the literature catalogues these options more thoroughly than it specifies the conditions under which each succeeds is characteristic of the field as a whole, and it points, once again, to the value of comparative, longitudinal work capable of establishing contingencies rather than listing possibilities.

Theme 4: Leadership, Workforce and Change Management

The fourth theme concerns the human enactment of transformation. A consistent message of the practitioner-facing literature is that technology is the easy part and people are the hard part: the binding constraint on transformation is rarely the availability of technology and almost always the organisation’s capacity to lead, skill and mobilise its people around change (Fitzgerald et al., 2014; Kane et al., 2015). This strand emphasises the role of senior leadership in articulating a compelling digital vision, the importance of distributed digital leadership beyond the executive suite, and the persistent gap between the skills organisations possess and those transformation demands.

The change-management dimension connects the digital transformation literature to a much older and well-developed body of work on planned and emergent organisational change. Yet this connection is often gestured at rather than realised. Many studies acknowledge that transformation involves change management but do not engage substantively with established theories of change, with the result that hard-won insights, for example about the limits of top-down change programmes, the dynamics of resistance, and the role of sensemaking, are reinvented rather than inherited. Where the literatures are brought into genuine dialogue, the results are illuminating: resistance, for instance, is reframed not as irrational obstruction but as a rational response to genuine threats to competence, status and identity that transformation poses to those who must enact it.

The literature on digital leadership has begun to move beyond the heroic-individual framing that characterised its early practitioner contributions. Rather than locating transformative agency in a visionary chief executive, more recent work distributes it across the organisation, emphasising the role of middle managers as translators between strategic intent and operational reality, and the importance of psychological safety in enabling the experimentation that transformation requires. This shift matters because it reconnects the leadership theme to the capability theme: distributed digital leadership is, in effect, a microfoundation of the firm’s transforming capability. Where the two literatures remain separate, each is impoverished; the leadership literature risks exhortation without mechanism, and the capability literature risks mechanism without agency.

Workforce transformation, including reskilling, the redesign of roles around human-machine collaboration, and the implications for employment and job quality, is increasingly prominent but remains the least theoretically developed part of this theme. Much of the evidence is anecdotal or drawn from a small number of exemplary firms, and the distributional consequences of transformation, who gains and who loses within the organisation, are markedly under-examined relative to their practical and ethical significance. The framing of the workforce as an object to be reskilled, rather than as an agent whose situated knowledge is itself a resource for transformation, is a telling silence. Employees are among the few actors with direct experience of the processes that transformation seeks to redesign, yet the literature rarely theorises them as a source of the knowledge on which successful transformation depends, concentrating instead on their capacity to resist or comply. Correcting this one-sidedness would draw the digital transformation literature back into contact with participative and emergent traditions of change that it has, for the most part, left to one side.

Critical Appraisal of the Evidence Base

Taken as a whole, the corpus exhibits characteristic strengths and weaknesses that a doctoral researcher must weigh before building upon it. On the side of strength, the field has produced a small number of genuinely integrative reviews and frameworks that have given it a shared, if contested, vocabulary, and it has attracted contributions from several disciplines, which lends it analytical richness. The best empirical work is methodologically careful and theoretically self-aware, and there is a welcome recent movement from purely conceptual argument toward systematic empirical testing.

The weaknesses, however, are substantial and interrelated. First, the evidence base is skewed toward large incumbent firms in developed economies, and frequently toward a recurring set of celebrated exemplars. Small and medium-sized enterprises, public-sector and non-profit organisations, and firms in emerging economies are comparatively neglected, which raises serious questions about the generalisability of the field’s claims. Second, research designs are dominated by cross-sectional surveys and retrospective case studies. Because digital transformation is, on the field’s own definition, a process unfolding over time, this reliance on designs that capture a single moment or reconstruct the past from its endpoint is a significant limitation; genuinely longitudinal and processual designs remain scarce. Third, there is a pervasive success bias. Studies of transformation tend to study firms that transformed, and the literature consequently knows far more about the correlates of apparent success than about the dynamics of failure, abandonment and partial transformation, even though these are at least as common in practice.

Fourth, and most consequential for theory, the field’s definitional pluralism undermines comparability. Because studies operationalise digital transformation in incompatible ways, their findings cannot be straightforwardly aggregated, and apparent disagreements may be artefacts of divergent definitions rather than genuine empirical conflicts. Finally, there is a recurrent weakness in the treatment of causality. Much of the literature is content to establish associations, for example between a given capability or cultural attribute and transformation outcomes, without adequately addressing the direction of causation or the possibility that both are driven by some prior condition. For a doctoral project, each of these weaknesses is simultaneously a caution and an opportunity.

Two further limitations deserve separate mention because they are easily overlooked. The first is a measurement problem. Where transformation is studied quantitatively, it is frequently operationalised through self-reported managerial perceptions, so that the independent variable, a capability or cultural attribute, and the dependent variable, transformation success, are often reported by the same respondent and liable to common-method bias. Managers who believe their firm has strong digital capabilities are, unsurprisingly, more likely also to judge their transformation successful, and a correlation between the two tells us little when both are products of the same optimistic self-assessment. Rigorous work increasingly seeks objective indicators and multiple informants, but these remain the exception.

The second is the problem of temporality and endogeneity in the case-study tradition. Retrospective cases constructed after a transformation is deemed successful are prone to a reconstructive logic in which the eventual outcome lends a spurious coherence and inevitability to the sequence of decisions that preceded it. Choices that were in fact tentative, contested or accidental are narrated as deliberate steps in a coherent strategy, and dead ends are quietly omitted. This is not a criticism of case research as such, which remains indispensable for a processual phenomenon, but of the retrospective, success-selected manner in which it is often practised. The remedy, real-time or at least contemporaneously documented longitudinal study, is demanding and slow, which is precisely why it is rare and why the opportunity it represents is so clear. In sum, the evidence base is richer in plausible description than in robust explanation, and a doctoral researcher should build on it with a clear-eyed sense of which of its claims are secure and which are provisional.

Research Gap and Theoretical Agenda

Synthesising the appraisal into a forward-looking agenda, several interrelated gaps emerge, of which the most important are theoretical rather than merely empirical. The field does not lack studies; it lacks a settled theoretical architecture capable of organising them.

The first and most fundamental gap is conceptual. Until the field resolves, or at least makes consistently explicit, whether digital transformation is being studied as outcome, process or strategic posture, cumulative theory-building will remain impeded. A doctoral contribution that takes the definitional question seriously, not by proposing yet another definition but by clarifying the conditions under which each conception is appropriate and by specifying how they relate, would address a need the field has repeatedly identified but not met (Vial, 2019; Hanelt et al., 2021). This is the clearest instance of a theoretical gap: the absence of an integrative framework that reconciles competing conceptualisations rather than adding to them.

The second gap is processual and temporal. Given that the field defines its object as a process, the scarcity of longitudinal, process-tracing research is a conspicuous mismatch between ontology and method. There is scope for work that follows transformation efforts over time, attends to sequence and timing, and theorises the mechanisms by which early choices enable or foreclose later possibilities. The dynamic capabilities and sociotechnical traditions each offer promising, and as yet under-combined, resources for such work (Teece, 2007; Orlikowski, 1992; Warner and Wäger, 2019).

The third gap concerns the boundary conditions of existing claims. Because the evidence base is concentrated in large developed-economy incumbents, the field’s prescriptions may not transfer to small firms, public organisations or emerging-economy contexts, where resource constraints, governance arrangements and institutional environments differ markedly. Research that deliberately samples these neglected contexts would test the generality of current theory and is likely to surface mechanisms invisible in the dominant sample. The fourth gap is the comparative neglect of failure and of the distributional, ethical and workforce consequences of transformation, each of which is practically urgent and theoretically fertile.

A fifth gap, cutting across the others, is the weak integration between the digital transformation literature and the established theory of organisational change. Transformation is, by definition, change, yet the field has largely constructed its account of change afresh rather than drawing on the decades of accumulated knowledge about how organisations change, why change efforts fail, and how resistance, sensemaking and institutionalisation operate. Bringing these literatures into genuine dialogue is not a matter of adding citations but of allowing established change theory to discipline the sometimes naive assumptions of the transformation literature, for example its tendency to treat managerial intent as straightforwardly translating into organisational outcome. A doctoral contribution that reads digital transformation through the lens of mature change theory, and that in turn tests whether digital technologies alter the classic dynamics of change, would be contributing to both fields at once.

It is worth distinguishing, in closing this section, between gaps that are merely empirical and gaps that are genuinely theoretical, because the two call for different responses. An empirical gap, such as the under-study of small firms or of failure, is addressed by directing existing concepts and methods at a new population; it extends the reach of current theory without necessarily altering it. A theoretical gap, such as the absence of an integrative framework reconciling the outcome, process and posture conceptions, or the unexamined importation of firm-level concepts into a multi-level phenomenon, cannot be closed by more data alone; it requires conceptual work that reorganises how the field thinks. The most valuable doctoral contributions typically pair the two, using a well-chosen empirical gap as the occasion for theoretical development, so that a study of, say, transformation failure in resource-constrained firms becomes the vehicle for a more adequate theory of transformation in general.

Drawing these together, a defensible doctoral agenda might combine a conceptually careful framing of digital transformation as a situated, temporally extended, multi-level process with a longitudinal, theoretically plural empirical design set in an under-studied organisational context, and with explicit attention to the mechanisms linking leadership, capability and culture to transformation outcomes, including failure. Such an agenda would respond directly to the gaps the field has itself acknowledged, and would position the resulting work to make a contribution that is cumulative rather than merely additive.

Conclusion

This model systematic literature review has mapped the scholarly conversation on digital transformation and organisational change, demonstrating a transparent search strategy, a bibliometric overview of an illustrative corpus, a four-theme synthesis and a theoretically grounded gap analysis. The exercise shows that the field, though large and vigorous, is held back by definitional pluralism, a mismatch between its processual ontology and its predominantly cross-sectional methods, a skewed and success-biased evidence base, and a weak dialogue between the recent digital transformation literature and the older organisation-theoretic traditions on which it might profitably draw.

The review also carries a methodological lesson for doctoral practice. The value of a systematic review lies less in the sheer number of studies it gathers than in the transparency with which it reasons from that evidence to its conclusions. By documenting the search, the eligibility criteria, the selection flow, the extraction protocol and the appraisal stance, a review makes its judgements contestable, and it is precisely their contestability that makes them credible. A narrative review may cover the same ground, but it asks the reader to trust the author’s selection; a systematic review asks instead to be checked. For a phenomenon as contested and fast-moving as digital transformation, where the temptation to cite selectively in support of a preferred thesis is considerable, this discipline is not a bureaucratic imposition but an epistemic safeguard. The approach modelled here is therefore offered as much for its method as for its findings.

These limitations are, for a doctoral researcher, an invitation. The most valuable contributions the next generation of research can make are unlikely to be further descriptions of transformation in exemplary firms; they are more likely to lie in conceptual clarification, in longitudinal and process-sensitive designs, in the study of neglected contexts and of failure, and in the deliberate reconnection of digital transformation scholarship to the sociotechnical and change-theoretic traditions from which it has partly detached itself. A systematic review of the kind modelled here is the appropriate first step in such a programme, because it establishes, transparently and defensibly, both what is known and where the frontier of knowledge actually lies. This document is provided as a model of that method and as reference material for learning only; it is not intended to be submitted as a student’s own work.

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