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The purpose and theoretical contributions of this paper are to improve current knowledge on culture's role in firms' digital transformation, as well as to identify and add a cultural “digital maturity” lens to well-known, already actionable frameworks for the digital transformation of firms.

To increase current knowledge on culture's role in firms' digital transformation, as well as to identify and add a cultural “digital maturity” lens to well-known and actionable frameworks for the digital transformation of firms, a multi-step approach was chosen, including both literature reviews as well as a qualitative study of one company case.

Early generations of digital transformation frameworks, mainly from the field of information systems (IS), did not take into consideration firms' culture. More recent research in the fields of management and organization, however, emphasizes the role of culture and key cultural attributes favorable for a digital transformation. By integrating key findings on digital transformation from these research fields, a multi-disciplinary framework could be presented, allowing any organization to plan, organize and monitor a digital transformation from three essential lenses: technical (processes and actions for transforming), social (transformation of norms and behavior) and macro (transformation of the perception of the outside world).

Only one case study was included in this study. The developed multi-disciplinary framework needs to be tested in more cases.

Practitioners can use the new integrated framework above for evaluating the conditions for, and the progression of a digital transformation, by using the developed framework and by applying the three lenses.

The paper contributes a new multi-disciplinary integrated framework for the digital transformation of enterprises and a further understanding of the impact of culture in the transformation of the firm.

Public and private sector organisations are widely endorsing digital transformation processes, but little is known about the level of digitalisation of an organisation as a whole. The purpose of this paper is to develop a framework to assess an organisation’s level of digital transformation as a whole, taking the field of museums as an exemplary case of application.

The framework draws upon a scoping literature review of studies examining dimensions, metrics and methods for the assessment of the digital transformation of organisations. The framework has been validated by applying it to a sample of 400 Italian museums and further interviews with museum directors.

The authors propose an assessment framework composed of five main dimensions: people, technology, process, customer and strategy and investment. These dimensions are further deployed in sub-dimensions measured through a set of questions. The weighted average of results per dimension and sub-dimension supported the development of a composite index of organisational digital readiness.

The developed framework contributes to the current debate on the measurement of an organisation’s level of digital transformation as a whole, and it can offer practitioners a managerial tool to assess the organisation’s digital readiness.

The digitization process has increased the pressure on large firms to transform. However, current frameworks on digital transformation are not well explaining what factors contribute to, or hinder, a firm's digital transformation. Innovation diffusion theories could complement existing frameworks, and for this reason, the purpose of this paper is to expand the existing body of knowledge on what contributes to, or hinders, an industrial firm's digital transformation by applying a validated framework based on innovation diffusion theories on two pioneer cases: General Electric and Siemens EHR/Health Services.

The framework used in this paper is based on several years' empirical studies and iterative literature reviews on innovation diffusion theories. Further, each use case is based on literature reviews and unique empirical data, collected by the authors of this paper as a result of taking active part of respective company's multi-years transformation.

Common drivers of, and clear inhibitors to the two firms' transformation, were identified. The innovation diffusion framework was found to work very well in identifying those factors.

The implications are that researchers better can analyze/explain a digital transformation of a firm, and business managers can better plan or improve their firms' transformation processes.

The theoretical contributions of this paper are two: first, complement existing frameworks with a validated framework for innovation diffusion; second, provide an extension of our body of knowledge on factors that contributes to, or hinders, industrial firm's digital transformation.

Existing literature has reported a barrier list that could affect the implementation of digital transformation in higher education, yet the research question of how to identify barriers remained unanswered. Thus, this study intended to address this gap.

The research design adopted a mixed-methods approach based on the problem-centered design science research (DSR) process model for the development and evaluation of framework.

This study proposed a systematic framework of three sets of components: (1) the initial set of barriers; (2) the barrier rating scheme and (3) the barrier scoring matrix. The three-component of the framework is to identify and prioritize barriers to the successful implementation of digital transformation in higher education.

The evaluation of the framework was only based on an expert opinion.

This study provided a direction to the policymakers for designing sensible strategies to increase the chances of a successful digital transformation in higher education.

This study contributes to the knowledge body by offering a more systematic understanding of barriers to digital transformation in higher education.

The research aims to investigate how firms can develop their sensing capabilities for Industry 4.0 (I4.0) technology adoption through reframing their opportunity perceptions related to learnings from I4.0 initiatives.

The research follows a design science research approach. Following the case of I4.0 technology introduction at a large food manufacturer, the paper develops a theoretical framework (artefact) and validates the applicability and efficacy of the framework within the case study.

The theoretical framework highlights the different temporal (short-term/long-term) and locational (direct/indirect) value dimensions of I4.0 opportunities. The findings show that the use of the framework can shift managers’ perception regarding the business value of an I4.0 technology implementation. Specifically, the framework reversed initially negative perceptions around a narrowly scoped business case towards an opportunity-oriented attitude exploring further potentials of the technology.

The research adds to the debate when and why firms engage in, and sustain their I4.0 initiatives by providing a novel perspective on firms’ sensing capabilities. As a single-case study, the framework requires further validation in practice.

The proposed framework provides practitioners with an extended view concerning the potential value of digital transformation projects and serves as a conversational tool.

The presented wider frame for evaluating digital transformation projects, taking into account the more “intangible” value of their learnings, tackles the fundamental issue of translating explorative innovation efforts into exploitative value – a key challenge when dealing with innovation and one of the main barriers for the digital transformation.

Digital transformation continues to rapidly progress in higher education globally, spanning all aspects of higher education operations, values and culture. Despite expanding literature, guidance remains focussed on emergency application during pandemic lockdowns and/or on single organisational case studies. Digital transformation frameworks that move beyond these foci are heavily criticised for being commercially contextualised (outside of higher education) and are often too narrowly conceptualised. The purpose of this paper is to review the most common framework currently used in the UK, which takes a strategic and organisational perspective on digital transformation.

This is a technical review article that summarises key guidance for organisational digital capability and then reflects on its application in the UK (a developed economy and higher education system) and in Vietnam (one of the fastest-growing economies with a developing higher education committed to digital transformation) as an initial attempt to explore its applicability beyond the UK context. Vietnam has been chosen as a reference context, given its significant current digital transformation policy reform at the national level and as a collaboration partner with the UK in its digital transformation.

The guidance highlights six core areas to consider for digital capability: information and communication technology (ICT) infrastructure, content and information, research and innovation, communication, learning, teaching and assessment and organisational digital culture. Although the framework is normative, findings suggest it is sufficiently open-ended to enable its users to determine practical steps to drive digital transformation. However, complementary tools are suggested to deal with the rapidly developing digital transformation policy context of Vietnam.

This is the first time a review has been conducted from the perspective of different countries, with a view to supporting leaders, managers and policymakers in the UK, Vietnam and other Association of South Eastern Nations (ASEAN) networks in their own digital transformation transitions.

Artificial intelligence (AI) is one of the latest digital transformation (DT) technological trends the university library can use to provide library users with alternative educational services. AI can foster intelligent decisions for retrieving and sharing information for learning and research. However, extant literature confirms a low adoption rate by the university libraries in using AI to provide innovative alternative services, as this is missing in their strategic plan. The research develops (AI-LSICF) an artificial intelligence library services innovative conceptual framework to provide new insight into how AI technology can be used to deliver value-added innovative library services to achieve digital transformation. It will also encourage library and information professionals to adopt AI to complement effective service delivery.

This study adopts a qualitative content analysis to investigate extant literature on how AI adoption fosters innovative services in various organisations. The study also used content analysis to generate possible solutions to aid AI service innovation and delivery in university libraries.

This study uses its findings to develop an Artificial Intelligence Library Services Innovative Conceptual Framework (AI-LSICF) by integrating AI applications and functions into the digital transformation framework elements and discussed using a service innovation framework.

In research, AI-LSICF helps increase an understanding of AI by presenting new insights into how the university library can leverage technology to actualise innovation in service provision to foster DT. This trail will be valuable to scholars and academics interested in addressing the application pathways of AI library service innovation, which is still under-explored in digital transformation.

In practice, AI-LSICF could reform the information industry from its traditional brands into a more applied and resolutely customer-driven organisation. This reformation will awaken awareness of how librarians and information professionals can leverage technology to catch up with digital transformation in this age of the fourth industrial revolution.

The enlightenment of AI-LSICF will motivate library professionals to take advantage of AI's potential to enhance their current business model and achieve a unique competitive advantage within their community.

AI-LSICF development serves as a revelation, motivating university libraries and information professionals to consider AI in their strategic plan to enable technology to support university education. This act will enable alternative service delivery in the face of unforeseen circumstances like technological disruption and the present global COVID-19 pandemic that requires non-physical interaction.

Digital transformation using Industry 4.0 technologies can address various challenges in food supply chains (FSCs). However, the integration of emerging technologies to achieve digital transformation in FSCs is unclear. This study aims to establish how the digital transformation of FSCs can be achieved by adopting key technologies such as the Internet of Things (IoTs), cloud computing (CC) and big data analytics (BDA).

A systematic literature review (SLR) resulted in 57 articles from 2008 to 2022. Following descriptive and thematic analysis, a conceptual framework based on the diffusion of innovation (DOI) theory and the context-intervention-mechanism-outcome (CIMO) logic is established, along with avenues for future research.

The combination of DOI theory and CIMO logic provides the theoretical foundation for linking the general innovation process to the digital transformation process. A novel conceptual framework for achieving digital transformation in FSCs is developed from the initiation to implementation phases. Objectives and principles for digitally transforming FSCs are identified for the initiation phase. A four-layer technology implementation architecture is developed for the implementation phase, facilitating multiple applications for FSC digital transformation.

The study contributes to the development of theory on digital transformation in FSCs and offers managerial guidelines for accelerating the growth of the food industry using key Industry 4.0 emerging technologies. The proposed framework brings clarity into the “neglected” intermediate stage of data management between data collection and analysis. The study highlights the need for a balanced integration of IoT, CC and BDA as key Industry 4.0 technologies to achieve digital transformation successfully.

Digital transformation is a foundational change in how firms operate and deliver value to customers by using digital technologies to create new business opportunities. The purpose of this study is to offer a conceptual framework by reorganizing the elements of digital transformation, including resources, technology, capabilities and performance, into a workable process and investigating how firms integrate these resources, build new capabilities and transform them into enhanced performance.

This framework builds three blocks: resource integration, organizational capabilities and outcomes, exploring the impact of resource integration on outcomes through organizational capabilities. For resource integration, this study adopts a resource-based view (RBV) and service-dominant logic (SDL) to integrate organizational resources, including information technology (IT)-based resources, which play a role in moderating the effect of resource integration. Moreover, the author argues that firms’ capabilities have two levels: higher-order capabilities and lower-order capabilities, which will convert these resources through the capabilities into organizational performance.

This framework is built to understand the process of digital transformation and its antecedents for firms’ performance in business environments. Drawing on RBV, it provides a more holistic perspective that has been linked to resource integration, organizational capabilities and outcomes at the firm level. In this way, the theoretical basis for diminishing implicitness associated with the current perspective of digital transformation can be strengthened.

This paper offers a coherent discussion of digital transformation and explains the process of digital transformation, thus advancing prior work. The major contribution is connecting the process of digital transformation through which firms integrate resources, i.e. digital technologies and valuable, rare, inimitable and nonsubstitutable (VRIN) and nonVRIN resources as well, to build organizational dynamic capabilities based on RBV and SDL.

The implementation of e‐banking projects highlights the importance of digital transformation for contemporary organizations in order to survive and achieve competitive advantage in a digital economy. This paper aims to explore the development process of digital transformation through an e‐banking project based on the resource fit concept.

The qualitative method of case study is applied. In total, 17 in‐depth interviews and secondary data were collected and analyzed.

Numerous researches related to e‐banking have focused on either the resource‐based theory or strategic fit perspective, but not on both. This paper makes a unique contribution by constructing a resource fit framework that integrates these two theories. This framework offers a theoretical advancement in the resource fit literature. It includes four dimensions: external resource fit, internal resource fit, external capability fit, and internal capability fit. Through an actual empirical case examination of the resource fit framework, this study explored eight critical factors necessary for successful e‐banking project implementation.

This study fills a theoretical gap by developing an integrative framework and evaluating it via an empirical case study. Hence, examining this framework for organizational digital transformation in different industries and multiple case studies with cross‐cases comparison will be valuable for future research.

The study demonstrated that managing digital transformation can be challenging, but awareness of, and preparedness for, analysis of both the resources/capability and external demands through the resource fit perspective are necessary.

This paper offers a pioneer framework in the resource fit field and makes a practical case examination that can be useful for researchers and practitioners by taking a more detailed view of digital transformation development.