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For many innovative organisations, Industry 4.0 paves the way for significant operational efficiencies, quality of goods and services and cost reductions. One of the ways to realise these benefits is to embark on digital transformation initiatives that may be summed up as the intelligent interconnectivity of people, processes, data and cyber-connected things. Sadly, this interconnectivity between the enterprise information technology (IT) and industrial control systems (ICS) environment introduces new attack surfaces for critical infrastructure (CI) operators. As a result of the ICS cybersecurity risk introduced by the interconnectivity between the enterprise IT and ICS networks, the purpose of this study is to identify the cybersecurity capabilities that CI operators must have to attain good cybersecurity resilience.

A scoping literature review of best practice international CI protection frameworks, standards and guidelines were conducted. Similar cybersecurity practices from these frameworks, standards and guidelines were grouped together under a corresponding National Institute of Standards and Technology (NIST) cybersecurity framework (CF) practice. Practices that could not be categorised under any of the existing NIST CF practices were considered new insights, and therefore, additions.

A CI cybersecurity capability framework comprising 29 capability domains (cybersecurity focus areas) was developed as an adaptation of the NIST CF with an added dimension. This added dimension emphasises cloud computing and internet of things (IoT) security. Each of the 29 cybersecurity capability domains is executed through various capabilities (cybersecurity processes and procedures). The study found that each cybersecurity capability can further be operationalised by a set of cybersecurity controls derived from various frameworks, standards and guidelines, such as COBIT®, CIS®, ISA/IEC 62443, ISO/IEC 27002 and NIST Special Publication 800-53.

CI sectors are immediately able to adopt the CI cybersecurity capability framework to evaluate their levels of resilience against cyber-attacks, given new attack surfaces introduced by the interconnectivity of cyber-connected things between the enterprise and ICS levels.

The authors present an added dimension to the NIST framework for CI cyber protection. In addition to emphasising cryptography, IoT and cloud computing security aspects, this added dimension highlights the need for an integrated approach to CI cybersecurity resilience instead of a piecemeal approach.

This paper aims to investigate the applicability of Grant’s framework in the current changing and dynamic environment.

In this paper, a critical review of Grant’s paper was conducted to identify the limitations and weaknesses of the framework, which prevent its effective application in the current digital age.

As a result, this paper presented a modified framework and four propositions to consider dynamic capabilities in the new turbulent environment and extend the relationships between a firm’s resources, capabilities, dynamic capabilities, competitive advantage and competitive strategy. Findings tied to this initiative will provide important contributions to research.

Rooted in resource-based view (RBV), the proposed framework puts forward a valid theoretical foundation on how to create a competitive advantage from a firm’s internal factors, including strategic resources, capabilities and dynamic capabilities. Furthermore, it contributes to RBV literature by considering dynamic capabilities, as the firms’ most crucial factors in the current dynamic digital market.

The purpose of this study is to use critical success factors (CSFs) to develop a process maturity and determine the current maturity levels of stakeholder organisations in public–private partnership (PPP) project implementation in Nigeria. The success of any PPP project is largely dependent on the country’s maturity on CSFs that made PPP projects successful. Thus, the identification of metrics and standards for measuring the maturity of stakeholder organisations on CSFs for PPP project implementation remains a challenge.

The study adopted literature review and six PPP project case studies including interviews in each case study and expert forum. The outcome of a comprehensive literature review provides a total list of 14 CSFs that made PPP projects successful in Nigeria. These CSFs were used for capability maturity levels ' definition ranging from level 1 (Ad hoc) to level 5 (Optimising) in line with capability maturity model concept. Quantitative assessment was considered as a support tool for making an overall assessment of both the public and private organisations ' current capability maturity levels and for comparison approach.

A capability enhancement framework for stakeholder organisations in PPP project was developed. This framework was used in assessing the current capability maturity levels of stakeholder organisations involved in PPP projects in Nigeria. Using this framework, it was found that public sector organisations were positioned between maturity level 1 and maturity level 2 (out of five maturity levels) on CSFs applicable to them. While, most private sector organisations were placed in maturity level 2 on CSFs associated with them.

The results emanated from this study provided both the theoretical and practical implications. The theoretical implication provides new insights into the usefulness of CSFs in PPP projects and indicates that merely identifying possible CSFs for PPP projects is not sufficient. The practical implication shows that the framework developed in this study had provided the benchmark for the identification of methodical approach, and standard to process improvement in PPP infrastructure projects, which can be replicated in both the developed and developing countries. Thus, the framework could be used to benchmark future studies.

The framework would provide a useful guide and roadmaps for improvement by indicating “what” needs to be done by stakeholder organisations involved in PPP projects in achieving higher capability maturity levels on identified CSFs for PPP projects in Nigeria and developing countries at large.

Organizations invest in novel digital innovations to improve their business processes. These innovations, including Industry 4.0 technologies, enable full organizational integration with business process management (BPM), thereby requiring interorganizational relationship (IOR) capabilities. Many organizations lack knowledge about areas of interorganizational (IO) capability for integrating digital innovations into their value chains. They therefore have difficulty understanding that, as a socio-technical concept, digitalization surpasses the intraorganizational level and requires tools to develop mandatory IOR capabilities. The authors’ systematic literature review (SLR) explores these capabilities within the discipline of BPM. The purpose of this paper is to address this issue.

This SLR follows the standard methodology for structuring a broad research field. The authors assessed capabilities relevant to manufacturing organizations from 58 academic articles published between 2011 and 2021.

Building on existing firm-centric capability frameworks, the authors developed individual capabilities into a novel framework of digital interorganizational value chain (DIOVC). The authors’ conceptual model provides a basis for researchers and practitioners to consider capabilities and the theoretical spectrum of IO value chains.

Future studies should validate these DIOVC capabilities as input for an updated model of BPM maturity aimed at improving business process performance through digital innovations.

This study provides organizations with IOR knowledge, supports decision makers in governing digital innovations and develops IO capabilities to improve their value chain performance.

The authors’ DIOVC capability framework is robust, with constructs and dimensions grounded in the literature, demonstrating theoretical and practical relevance.

The purpose of this paper is to clarify the concept of innovation capability and to show how the linkage between innovation capability and performance measurement can be formed.

The study is based on current literature of innovation capability and performance measurement and matching these two to find out how the measurement of innovation capability should be organized.

The paper describes the concept of innovation capability and presents a performance measurement framework for the measurement of innovation capability and its effects. As a result, a conceptual framework with five perspectives for measuring the relationship between innovation capability and business performance is presented. Also, the link between innovation capability and an organization's business performance is disclosed.

The paper shows a way forward of how to define measures of business performance in such a way that they are led from the development of innovation capability.

This paper aims to propose an assessment framework to evaluate companies' innovation capability in the context of industrial clusters.

The assessment framework was built based on the Graph-Theoretic Approach (GTA) to measure the influence of the factors and sub-factors of innovation capabilities. To quantify the level of interdependence between factors and sub-factors of innovation capability Delphi method was adopted. The authors developed five case studies in firms from an Information and Communications Technology and Creative Economy cluster in Northeastern Brazil to test the framework's applicability.

The results showed that identifying and evaluating the factors of innovation capability allows a larger understanding of what affects these capabilities to a greater or lesser extent and contributes to strategic decision-making.

The framework evaluates the innovation capability of each firm, not providing an index for the whole industrial cluster. Besides, the framework does not consider the innovations developed by the companies through the innovation's capabilities. As the Delphi technique was adopted to analyze the levels of influence or interdependence between factors and sub-factors of innovation capability, different experts may lead to different results.

Among the managerial implications, the authors can highlight the innovation capability index as a practical performance measure to stimulate improvement initiatives regarding innovations in industrial clusters. Besides, as the proposed framework is generic, research organizations, public institutions and regional governments can adopt it to analyze innovation capabilities in cluster-based companies.

Previous industrial cluster studies have concentrated on knowledge transfer as the main attribute influencing innovation capabilities. The literature also presents assessment frameworks focusing on qualitative analyses or innovation capabilities outcomes (patents and products). Differently, the authors proposed a quantitative assessment framework considering specific factors (and sub-factors) of innovation capabilities in industrial clusters.

This paper aims to present an alternative practical framework to classify the skill and knowledge of the individual trainees by comparing it with the expert in an organization. This framework gives the benefit to the organization in order to know the ability level of the personnel and to be able to provide the personnel development method both in academic learning and workplace learning.

This research develops the framework based on relevant methodologies. Competency-Based Development is applied to investigate the knowledge and skill of the specific task. Knowledge Engineering is used to capture the experiences and construct knowledge model from relevance parties. Capability Maturity Model is then adapted to develop the capability and maturity level of the personnel. It can then be used to cluster the knowledge and skill. Finally, the Substation Maintenance Department of Provincial Electricity Authority (PEA), Thailand, is selected as a case study to test the proposed framework.

The results have shown that the proposed framework can be utilized to identify the capability level of the individual personnel. Furthermore, the appropriate maturity development of the employees in each level can also be identified. This proposed framework provides better results when comparing to the current PEA competency model, as the criteria in this framework are systematically derived from experts rather than relying solely on the proficiency level. Although, this framework was tested with the switchgear maintenance task, the results and its systematic approach have indicated that it can also be used to develop the capability maturity model for other fields of work.

The main originality of this research is the proposed competency analysis table, which integrates human resource development with knowledge management, risks management and management information system. Rather than performing these tasks separately for continuous quality improvement, organization can practically plan and perform the quality improvement-related tasks spontaneously. Moreover, the application of the capability maturity model to classify knowledge and skill of the maintenance tasks into maturity level is another academic value presented in this paper. The proposed framework gives the benefit to organization to classify the capability of the personnel. This is potentially beneficial to the human resource development personnel than traditional methods in the sense that it provides the information on how to develop the specific skill of the employees.

This paper aims to develop frameworks to support implementation and competitive leveraging of distinct sustainable supply chain operations. This derives from conceptual definition of the dynamic capabilities required to support Hart’s (1995) natural-resource-based view resources in the supply chain.

This conceptual study uses qualitative content analysis to extract capabilities from review and analysis of literature related to natural-resource-based view (NRBV) and sustainable supply chain management. Intercoder reliability assessments support conceptual development of such capabilities into dynamic capability frameworks.

Specific interrelations between each NRBV resource and corresponding supply chain strategies are conceptualised. From this, capabilities are categorised to corresponding resources, dynamic capabilities activities and internal–external focus. This results in definition of 107 dynamic NRBV capabilities.

Contributions are threefold: distinct frameworks for competitive sustainable supply chain management is offered; the NRBV benefits from enhanced practical guidance via the definition of its dynamic capabilities, addressing the theory-practice gap; and understandings of dynamic capabilities and their role in both the NRBV sustainable supply chain management is advanced.

This paper offers four frameworks to allow firms to tailor sustainability strategies to suit their needs and guide competitive leveraging. Definition of capabilities offers practical guidance to operationalise NRBV resources.

This is the first holistic interpretation of NRBV capabilities and explicit application of dynamic capabilities. This forms the basis of a broader research agenda for the NRBV in sustainable supply chain management.

The purpose of this paper is to present a framework for improving innovation capability through performance measurement in small- and medium-sized enterprises (SMEs). The development of an organisation’s innovation capability is considered increasingly important in the current literature. Developing such capability is essential, as innovation plays a key role in the survival and growth of organisations. A review of current literature highlights the need for a framework on the development of innovation capability, especially in SMEs.

A literature review was used to form an understanding of previous work in the research area. Previous literature was used to define the key concepts and further to build the conceptual framework.

As a result of the study, a framework for improving innovation capability through performance measurement in SMEs is presented. Key issues that must be addressed are highlighted and discussed.

The paper contains suggestions for improving innovation capability through performance measurement. Using the results of this study, practitioners can enhance their innovation capability by measurement and by taking better account of different situations regarding the development of innovation capability. The framework clarifies the issue of how innovation capability and its determinants can be managed through measurement, and therefore it assists especially SMEs in their attempts to cope with the increasing need for innovation as an asset of their business performance.

There are very few examples in the current literature of frameworks for the issue, especially for SMEs. The role of performance measurement in developing innovation capability is also ignored in the current literature. The paper is relevant for academics, as it clarifies the existing body of knowledge and provides a platform for future research.

The Industry 4.0 phenomenon is bringing unprecedented disruptions for all traditional business models and hastening the need for a redesign and digitisation of activities. In this context, the literature concerning the digital supply chain (DSC) and its capabilities are in the early stages. To bridge this gap, the purpose of this paper is to propose a framework for digital supply chain capabilities (DSCCs).

This paper uses a narrative literature approach, based on the main Industry 4.0 elements, supply chain and the emerging literature concerning DSC disruptions, to build an integrative framework to shed light on DSCCs.

The study identifies seven basic capabilities that shape the DSCC framework and six main enabler technologies, derived from 13 propositions.

The proposed framework can bring valuable insights for future research development, although it has not been tested yet.

Managers, practitioners and all involved in the digitalisation phenomenon can utilise the framework as a starting point for other business digitalisation projects.

This study contributes to advancing the DSC literature, providing a well-articulated discussion and a framework regarding the capabilities, as well as 13 propositions that can generate valuable insights for other studies.