Digital transformation has become a defining feature of modern organizational environments, fundamentally altering how firms create value and compete. In an era characterized by rapid technological advancement and escalating market turbulence, organizations are increasingly compelled to integrate digital technologies to enhance efficiency, foster innovation, and ensure sustainability ([24]). The ability to navigate this transformation effectively hinges on strategic leadership. According to [16], strategic leadership involves influencing others to achieve objectives that align with organizational goals, particularly during periods of significant change. Such leadership is vital for steering digital initiatives and fostering organizational resilience.

One key attribute of effective leadership in this context is the capacity to formulate and execute a coherent digital transformation strategy. As [35] emphasize, these strategies provide the essential pathways for established organizations to achieve digital service innovation. In a rapidly evolving digital landscape, strategic decisions must often be made amidst uncertainty, necessitating a balance between visionary planning and agile execution. Leaders who can integrate diverse perspectives and leverage collaborative input are better positioned to navigate the complexities of digital change and mitigate associated risks ([17]).

Moreover, the development of digital dynamic capabilities has been identified as a critical organizational competency for thriving amidst digital disruption ([34]). These capabilities represent not only the capacity to recover from competitive shocks but also the ability to adapt and emerge stronger by reconfiguring resources ([10]). Strategic leaders play a pivotal role in building these capabilities by fostering a culture of digital innovation, optimizing resource utilization, and supporting organizational learning ([5]). The impact of such transformation extends to core performance metrics, with studies indicating a significant positive relationship between digital transformation and firm performance ([20]; [31]).

Furthermore, digital transformation is increasingly intertwined with broader strategic goals, such as enhancing Environmental, Social, and Governance (ESG) performance through green innovation ([42]) and contributing to sustainable development ([2]). Transparent and values-based leadership is another indispensable component during this transformative process. Leaders who demonstrate ethical integrity and communicate a clear digital vision are more likely to maintain stakeholder trust and employee engagement, which are essential for successful adoption ([28]).

Despite the wealth of research on digital transformation and strategic management, there remains a gap in understanding the interplay between established strategic leadership frameworks and their practical application in guiding multifaceted digital transformation journeys. This study explored how leaders can apply strategic leadership principles to manage digital transformation effectively, ensuring not only technological adoption but also sustained organizational performance and competitive advantage.

This systematic review addresses three primary questions:

1) What is the empirical evidence for the direct impact of digital transformation (DT) on firm performance?

2) Through which mechanisms (dynamic capabilities, innovation, and strategic flexibility) does DT influence performance, and what is the magnitude of these mediating effects?

3) How do management and strategic factors compare with technological capabilities in driving DT success?

Unlike prior syntheses by [15], which focused on organizational change mechanisms and [33], which mapped thematic clusters without quantitative synthesis, this review systematically extracts and compares reported effect sizes from empirical studies published between 2015-2025, providing a cross-study assessment of key relationships and identifying context-specific moderators such as industry, and firm size. It also explicitly incorporates qualitative and mixed-methods studies to capture implementation challenges.

Digital transformation has been extensively studied across various disciplines, focusing on its impact on strategic management and organizational performance. Research highlights the importance of digital transformation strategies, dynamic capabilities, and leadership in navigating this paradigm shift. For instance, [15] conducted a systematic review conceptualizing digital transformation as a profound organizational change that necessitates new strategic approaches. Similarly, [35] emphasized the role of deliberate digital transformation strategies as pathways to digital service innovation in established organizations.

The critical role of building digital capabilities has been explored as a foundation for successful transformation. [34] found that digital dynamic capability, moderated by a digital innovation orientation, is a key determinant of digital transformation performance in traditional industries. Furthermore, [1] argued that these capabilities are integral to improving performance metrics, such as those in the banking sector. Research on the performance outcomes of digital transformation underscores a generally positive relationship. [20] and [31] provided empirical evidence from different contexts, highlighting that digital transformation can significantly promote enterprise performance. This relationship is further supported by [41], who identified intellectual capital as a key resource that, when combined with digital transformation, enhances firm performance.

The interplay between digital transformation and strategic management has also garnered significant attention. [33] asserted that digital transformation necessitates a re-evaluation of traditional strategic management frameworks, a finding echoed by [7] and [21], who surveyed the profound impact of digitalization on strategic planning and execution. The impact of digital transformation on innovation has become a focal point in recent studies. [38] demonstrated the direct influence of digital technologies on turnover from innovation activities, while [5] synthesized how digital transformation is reshaping the field of innovation management itself.

Sustainability has been further linked to digital transformation strategies. [42] analyzed how digital transformation strategy in manufacturing improves ESG performance through the mediating role of green innovation. Similarly, [2] highlighted the potential of digital transformation to contribute directly to sustainable development goals. The organizational and leadership dimensions of digital transformation have been extensively examined. [23] investigated whether management or IT is the true driving force, underscoring the strategic, rather than purely technical, nature of the change. Likewise, [28] derived critical lessons on the management challenges traditional organizations face, and [19] explored the emergence of new C-level roles, such as the Chief Digital Officer, to lead these initiatives.

Finally, digital transformation in specific functional areas and sectors has emerged as a distinct area of study. [11] explored its implications for strategic supply chain management, while [25] analyzed the current state of research in healthcare. [9], in an exploratory case study, identified the institutional logics that can hinder digital transformation even in non-traditional sectors like cultural heritage management.

This section provides a detailed account of the methodology employed to conduct a comprehensive review of the literature related to Digital Transformation. The methodology includes research design, data collection methods, inclusion and exclusion criteria, data analysis approach, and ethical considerations. Each step was meticulously planned and executed to ensure the credibility and reliability of the findings. This methodology was designed to ensure a rigorous and systematic review of the literature, enabling a comprehensive understanding of digital transformation. By integrating systematic search strategies, strict inclusion and exclusion criteria, thematic analysis, and ethical practices, this methodology provides a solid foundation for deriving actionable insights and identifying areas for future research.

ResearchDesign

The review adopted a systematic review methodology, which is widely recognized for its rigor and transparency in synthesizing evidence from existing literature. This approach was chosen to capture the breadth and depth of research on digital transformation while minimizing bias. Following the guidelines proposed by [37], a protocol was established to guide the review process, including predefined objectives, search strategies, and criteria for article selection. The thematic analysis framework was utilized to identify recurring themes such as adaptability, resilience, decision-making, and ethical leadership. This design allowed the study to critically evaluate and synthesize findings from diverse sources, providing a holistic understanding of then topic. This is a systematic review without quantitative meta-analysis; all reported effect sizes are from individual primary studies and are not pooled estimates.

DataCollectionMethods

The data collection process involved a systematic search of electronic academic databases to identify relevant peer-reviewed studies. Databases such as Scholar Indexing Society, PubMed, Scopus, Web of Science, and Google Scholar were selected for their comprehensive coverage of multidisciplinary research. A combination of keywords and Boolean operators was used to refine the search process.

Keywords included terms like “digital transformation”, “strategic management”, “firm performance”, “dynamic capabilities”, “innovation”. Boolean operators (e.g., AND, OR, NOT) helped combine or exclude specific terms to ensure relevance. To enhance the search’s precision, advanced filters were applied. These included limiting the publication years to 2015-2025 to focus on contemporary studies, selecting peer-reviewed journal articles to ensure quality, and restricting the search to studies written in English. A manual search of the reference lists of selected articles was also conducted to identify additional relevant studies, a process often referred to as “snowballing.” This dual approach of database searches and manual checks ensured a broad and comprehensive data collection.

SearchStrategy(Full)

The search was conducted on 15 January 2025. The following databases were selected for their comprehensive coverage of multidisciplinary research:

Scopus: for broad coverage of peer-reviewed management and technology journals.

WebofScience: for high-impact, cross-disciplinary research.

GoogleScholar: for grey literature and cross-disciplinary capture (used only for initial identification; full-text access verified via institutional subscriptions).

PubMed: for relevant for healthcare and public sector digital transformation studies.

Note: Scholar Indexing Society was initially considered but not used due to lack of coverage of peer-reviewed sources; it has been removed from the methods to align with the PRISMA flow.

Searchstringsused (adapted per database syntax):

Scopus:

TITLE-ABS-KY ((“digital transformation” OR “digitalization”) AND (“strategic management” OR “dynamic capabilities”) AND (“firm performance” OR “organizational performance”)) AND PUBYEAR > 2014 AND PUBYEAR < 2026 AND (LIMIT-TO (DOCTYPE, “ar”) OR LIMIT-TO (DOCTYPE, “cp”)) AND (LIMIT-TO (LANGUAGE, “English”))

WebofScienceequivalent:

TS = (((“digital transformation” OR “digitalization”) AND (“strategic management” OR “dynamic capabilities”) AND (“firm performance” OR “organizational performance”)))

Filters: Publication years: 2015-2025; Document types: Article or Proceedings Paper; Language: English.

PubMed:

(“digital transformation” [Title/Abstract] OR “digitalization” [Title/Abstract]) AND (“strategic management” [Title/Abstract] OR “dynamic capabilities” [Title/Abstract]) AND (“firm performance” [Title/Abstract] OR “organizational performance” [Title/Abstract])

Filters: Publication date from 2015/01/01 to 2025/12/31; English.

GoogleScholar:

Advanced search with exact phrase “digital transformation” and at least one of “strategic management”, “dynamic capabilities”, “firm performance”. First 200 records screened due to volume limitations.

PRISMAFLOWDIAGRAM

InclusionandExclusionCriteria

Clear inclusion and exclusion criteria were established to maintain the review’s focus and ensure the quality of the selected studies. Articles were included if they met the following criteria:

1) They explicitly discuss digital transformation, strategic management, firm performance, dynamic capabilities, or innovation.

2) They provided empirical data, theoretical frameworks, or case studies relevant to digital transformation.

3) They were published in peer-reviewed journals to ensure the credibility of findings.

4) The studies were written in English to align with the reviewers’ language proficiency and ensure accurate interpretation.

5) Full-text access was available to allow for a thorough review of the content.

Conversely, articles were excluded if they:

1) Focused on unrelated topics, such as routine management practices outside digital transformation contexts.

2) Lacked empirical evidence or theoretical grounding, such as opinion pieces or editorial comments.

3) Were duplicates retrieved from multiple databases or unavailable in full-text format?

4) Did not align with the thematic focus of the review, such as studies emphasizing non-strategic aspects of digital transformation. This rigorous application of inclusion and exclusion criteria helped refine the pool of articles to those most relevant and reliable for addressing the research objectives.

QualityAppraisal

A formal quality appraisal was conducted to assess the rigor of included studies. Two reviewers (both authors) independently evaluated each study using the following tools:

Quantitativestudies(surveys,archival): JBI Critical Appraisal Checklist for Analytical Cross-Sectional Studies (9 items).

Qualitativestudies(casestudies,interviews): CASP Qualitative Checklist (10 items).

Mixedmethodsstudies: Mixed Methods Appraisal Tool (MMAT) version 2018.

Each study received a percentage score. Studies were not excluded based solely on low scores; however, findings from studies scoring below 60% were narratively flagged as lower confidence and not used in quantitative comparisons. Inter-rater agreement was κ = 0.82 (substantial). Disagreements were resolved by discussion or consultation with a third reviewer.

DataExtractionandCodingProcess

Data extraction was performed independently by the two authors using a standardised Excel form. The following fields were extracted:

Bibliographic: author(s), year, journal/conference, country, industry.

Methodology: design, sample size, data collection method.

Variables: independent, dependent, mediators, moderators.

Effect sizes: reported β coefficients, path coefficients, r, p-values, confidence intervals, R².

Key qualitative findings (themes, barriers, enablers).

Coding for thematic analysis was performed using NVivo 14. Initial codes were derived from the research questions; inductive codes were added as new themes emerged. Two reviewers coded a 20% random sample; inter-coder reliability was κ = 0.79. Disagreements were resolved through consensus.

DataAnalysisApproach

A thematic analysis was employed to systematically synthesize and interpret the data extracted from the selected studies. Initially, each article was screened for its abstract and keywords to determine its relevance. Articles passing this initial screening underwent a detailed full-text review to identify core findings and thematic patterns. These themes included digital strategy implementation, dynamic capabilities, innovation outcomes, and performance metrics. To ensure accuracy and traceability, qualitative data analysis software, such as NVivo, was used for coding and categorizing themes. Each study’s findings were coded into predefined categories, and emerging themes were identified iteratively. Cross-referencing between studies helped validate the consistency of themes and identify gaps in the existing literature. By organizing the findings into coherent thematic clusters, this approach facilitated a comprehensive synthesis of knowledge and insights related to strategic leadership in turbulent environments.

EthicalConsiderations

Although this study involved secondary data from published sources, ethical standards were upheld throughout the review process. Proper attribution was given to all authors of the reviewed studies, ensuring intellectual property rights were respected. Copyright laws were adhered to by accessing articles through institutional subscriptions or open-access platforms. Moreover, the review protocol was designed to minimize biases by employing predefined criteria for article selection and independent validation of selected studies by a second reviewer. Transparency was maintained by documenting each step of the review process, from database searches to data extraction and analysis. This ensured the review could be replicated or scrutinized by other researchers. Finally, care was taken to critically evaluate the quality and reliability of each selected study, ensuring that only credible and relevant sources were included in the analysis.

This section presents the findings aligned with the study’s objectives, focusing on the role of strategic leadership during crises. The results are organized into key themes: organizational resilience, decision-making, ethical leadership, digital transformation, and research gaps. Each objective is supported by detailed statistical evidence, highlighting critical insights and actionable recommendations. These findings provide a robust foundation for understanding and enhancing strategic leadership in turbulent environments.

The following discussion synthesises findings across studies narratively; reported effect sizes are from individual primary studies and are not pooled estimates. The findings of this analysis underscore the transformative role of digital transformation (DT) as a core component of modern strategic management. The results align with and extend existing literature on dynamic capabilities, innovation management, and organizational performance, providing a comprehensive understanding of how digital strategies drive value creation, sustainable outcomes, and competitive advantage in diverse contexts.

The pursuit of enhanced firm performance is a central objective of digital transformation, and the evidence confirms its significant impact. The findings of this analysis align closely with [20], who demonstrated a direct positive correlation between DT initiatives and the financial performance of Swedish listed companies. This relationship is further substantiated by [31], who found that digital transformation, when supported by conducive public innovation policies, can lead to increase in patent applications by 24.3%. The mechanism behind this performance boost is often rooted in the development of specialized capabilities. For instance, [34] showed that digital dynamic capability acts as a critical mediator, with their study of the textile industry revealing that a one-unit increase in this capability amplified the performance outcomes of technology adoption by 40%. Similarly, in the banking sector, [1] reported that digital transformation capabilities were responsible for an improvement in key performance indicators like customer satisfaction and operational efficiency among Jordanian commercial banks. These findings collectively affirm that DT is not a mere technological upgrade but a strategic lever for tangible business results.

While the “why” of digital transformation is clear, the “how” remains a critical area of focus. The findings reveal that successful implementation hinges on clear strategic pathways and robust organizational capabilities. This aligns with [35], who identified four distinct configurations of digital transformation strategies, moving beyond a one-size-fits-all approach and providing a roadmap for established organizations to achieve digital service innovation. The importance of leadership and talent in steering these pathways is paramount. [19] elucidated the role of the Chief Digital Officer (CDO) as a central figure in orchestrating DT, bridging the gap between technical and business domains. Furthermore, the research indicates that success is often contingent on fostering a digital innovation orientation. [34] quantified this, finding that a strong digital innovation orientation strengthened the relationship between digital technology adoption and performance by 30%, acting as a significant moderator. This underscores that technological investment must be matched by a supportive organizational culture and strategic intent.

A pivotal extension of the digital transformation discourse is its growing connection to sustainable and ethical business practices. The findings strongly support the role of DT in enabling sustainable development. [42] provided crucial empirical evidence for this link, demonstrating that a digital transformation strategy in large manufacturing firms improves ESG performance by an average of 32%, with green innovation acting as a significant mediator (indirect effect = 0.104). This suggests that digital technologies are key enablers of the circular economy and environmentally conscious operations. This perspective is reinforced by [2], who positioned digital transformation as a fundamental driver toward achieving the United Nations’ Sustainable Development Goals (SDGs), highlighting its capacity to optimize resource use and reduce environmental footprints. The intersection of digital and green strategies, therefore, represents a powerful synergy for building long-term, sustainable value.

Despite the clear benefits, the journey of digital transformation is fraught with challenges, particularly for specific organizational types. The findings highlight a significant gap in tailored strategies for small and medium-sized enterprises (SMEs). [36] directly addressed this, showing that while DT positively impacts SME performance, the effect is moderated by unique resource constraints and a lack of strategic clarity, with only 30% of the SMEs in their study having a formally documented DT strategy. This is consistent with the lessons from [28], whose work with traditional organizations revealed that legacy systems and entrenched cultural inertia are the most significant barriers, impeding over 65% of DT initiatives. Moreover, the research points to a fragmented understanding of the field. Systematic reviews by [15] and [5], analyzing 262 and 107 studies respectively, concluded that the literature on DT and strategic management is siloed across disciplines, lacking a unified theoretical framework to guide both research and practice.

This analysis provides robust evidence of digital transformation’s critical role in shaping contemporary strategic management, directly influencing financial performance, operational capabilities, and sustainability outcomes. The findings align with and extend existing literature, offering a nuanced view that balances the promise of DT with the practical realities of its implementation. Addressing the identified research gaps through future studies is essential. Specifically, there is a need for more longitudinal research to track the long-term performance impacts of DT, deeper exploration of DT strategies tailored to SMEs and specific sectors like the public sector, and the development of integrated frameworks that consolidate insights from disparate fields. By pursuing these directions, the field can evolve from isolated success stories to comprehensive, adaptable, and actionable strategic frameworks for thriving in the digital age.