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To draw management and scholarly attention to two missing capabilities in a knowledge management program: segmentation capability and destruction capability.

An opinion paper based on consulting and research experiences of the authors.

Organizations that consider the two missing capabilities have witnessed significantly improved knowledge management programs compared with when the capabilities were missing from their agenda. In addition to the two missing capabilities, the third capability – protection capability – may need due attention.

The two missing capabilities can be further investigated as important constructs. The two capabilities complement and augment their peer capabilities (creation, transfer, storing, retrieving and applying). The intricacies of the missing capabilities and the known capabilities need to be further studied.

If an organization neglects the two capabilities, the benefits of their knowledge management program will be limited. Organizations can cultivate the two missing capabilities effectively and efficiently by following the suggestions of the paper.

This is the first paper that discusses the two missing knowledge management capabilities exclusively and connects their role and importance to known capabilities.

In the landscape created by digital transformation, developing the ability to adapt and innovate by absorbing and generating new knowledge has become a strategic priority for organizations. The theory of dynamic capabilities, especially from a knowledge-based perspective, has proven particularly useful in studying the phenomena of transformation and change. Moving from this premise, this paper aims to map the state of research and to define guidelines for the actualization of dynamic capabilities theory in the digital transformation era.

A structured literature review of 75 papers, using descriptive, bibliographic and content analysis, was performed to analyze the evolution of dynamic capabilities in the context of digital transformation.

Studies concerning knowledge-based dynamic capabilities for digital transformation have been clustered into five main research areas: the micro-foundation of dynamic capabilities for digital transformation; dynamic capabilities for value creation in digital transformation; dynamic capabilities for digital transition in specific industries; dynamic capabilities for “data-driven organizations”; and dynamic capabilities for digital transformation in SMEs and family firms. A future research agenda for scholars in strategic management is presented.

A conceptual framework and a future research agenda are presented to highlight directions for this promising research field concerning the renewal of dynamic capabilities in the context of digital transformation.

The originality of the paper lies in the conceptual framework aiming to systematize current research on knowledge-based dynamic capabilities for digital transformation and to provide a new conceptualization of digital dynamic capabilities, clarifying how organizations create and share knowledge in the era of digitalization.

Knowledge management in any organization is important in enhancing the organization’s performance. This study aims to explore the influence of knowledge management capability on organizational performance with the mediation role of opportunity recognition and the moderation effect of environmental dynamism.

This study used an effective and well-developed survey to collect data from 387 managers working in different service organizations in the Kingdom of Saudi Arabia. Further, SmartPLS software was used for data analysis.

The outcomes confirm that knowledge management capability is directly and indirectly (via opportunity recognition) related to organizational performance. Environmental dynamism moderates the linkage between knowledge management capability and opportunity recognition, as well as between opportunity recognition and organizational performance.

This study provides a valuable and novel managerial and theoretical approach for management to improve firm performance with the help of knowledge management capabilities, opportunity recognition, and environmental dynamism. The findings of this paper can be implemented not only in the service sector but also in the production sector. Future studies can use this conceptual framework in different countries with the current data. Moreover, other analytical approaches can be used to check the variability of these findings.

This study contributes to connecting research gaps in the literature and advancing insights into how knowledge management capabilities affect organizational performance. The study explores the mediating role of opportunity recognition and environmental dynamics as moderators between knowledge management capability and opportunity recognition and between opportunity recognition and organizational performance.

This paper sets out to integrate research on knowledge management with the dynamic capabilities approach. This paper will add to the understanding of dynamic capabilities by demonstrating that dynamic capabilities can be seen as composed of concrete and well‐known knowledge management activities.

This paper is based on a literature review focusing on key knowledge management processes and activities as well as the concept of dynamic capabilities, the paper connects these two approaches. The analysis is centered on knowledge management activities which then are compiled into dynamic capabilities.

In the paper eight knowledge management activities are identified; knowledge creation, acquisition, capture, assembly, sharing, integration, leverage, and exploitation. These activities are assembled into the three dynamic capabilities of knowledge development, knowledge (re)combination, and knowledge use. The dynamic capabilities and the associated knowledge management activities create flows to and from the firm's stock of knowledge and they support the creation and use of organizational capabilities.

The findings in the paper demonstrate that the somewhat elusive concept of dynamic capabilities can be untangled through the use of knowledge management activities. Practicing managers struggling with the operationalization of dynamic capabilities should instead focus on the contributing knowledge management activities in order to operationalize and utilize the concept of dynamic capabilities.

The paper demonstrates that the existing research on knowledge management can be a key contributor to increasing our understanding of dynamic capabilities. This finding is valuable for both researchers and practitioners.

The purpose of this research is to identify and clarify the important variables in knowledge management capabilities that affect product/service innovation in entrepreneurial companies in Jordan.

A five-point Likert scale questionnaire was designed for measuring knowledge-based (infrastructural and dynamic) capabilities and product/service innovation in entrepreneurial companies in Jordan that specialized in information and communication technology. A questionnaire was distributed to 297 individuals in 40 companies, and only 202 questionnaires were completely filled and returned by the entrepreneurs at King Hussein Business Park and Al Hassan Business Park. Structural equation modeling was applied to statistically test the research hypotheses.

The research findings showed that knowledge-based infrastructural capabilities are a prerequisite for knowledge-based dynamic capabilities. On the other hand, knowledge combination capabilities have a statistically significant mediating effect between knowledge based infrastructural capabilities and product/service innovation.

This research contributes to the literature by studying and investigating the key variables in knowledge management that affect product/service innovation and by providing a comprehensive understanding of the knowledge management capabilities and innovation in entrepreneurial companies. This research provides academicians with a framework for better understanding of the different factors of knowledge management capabilities and how they affect product/service innovation.

The aim of the study is to analyze how knowledge spillovers and knowledge management capabilities affect the innovation capabilities of hospitality sector companies in crisis environments.

A survey was completed by 63 hotel directors based in Portugal, gathering data on knowledge spillover, knowledge management capabilities and innovation capabilities. Two multiple linear regression models were used to estimate the impact of knowledge spillovers and knowledge management capabilities on innovative capability.

It has been concluded that knowledge spillovers work as external benefits of knowledge creation, increasing the innovation activities of companies in the hospitality sector, which reinforces that knowledge spillovers help to enhance innovation capabilities. The study's results show that it is essential for companies to manage knowledge. It also concludes that effective knowledge management facilitates the exchange of knowledge required in the innovation process. Knowledge spillovers improve the performance of innovation in companies through the development of new insights and innovation capabilities.

This research was carried out in a period of crisis. As expected in a troubled period, the results are extremely volatile. This study's sample is composed of Portuguese hospitality companies.

This research provides valuable insights into the overflow of explicit and tacit knowledge in the hotel industry. Moreover, this study offers new insights into the mediating role of knowledge management capability in the relationship between a hotel's knowledge overflow and its innovation performance.

This research unpacks the micro-mechanisms that exist between an organisation's ability to conduct big data analytics (BDA) and its achievement of strategic flexibility. Knowledge management capabilities and organisational ambidexterity have long been considered factors influencing the aforementioned relationship. In order to assess this, the authors build on dynamic capabilities as the main theoretical lens through which to examine.

Structural equation modelling (SEM) is the main methodological approach used in this research. A structural model was developed and tested based on 215 survey responses collected from managers of organisations in continental Europe.

The results indicate that BDA capabilities are a significant antecedent of an organisation's strategic flexibility. This relationship, however, is influenced by knowledge management capabilities and ambidexterity.

Managers wishing to properly exploit the potential of big data should invest in the elaboration of knowledge management processes across their organisation. This strategy can foster strategic flexibility.

Previous research has explored the theoretical links between big data, knowledge management and strategic flexibility. However, little attention has been paid to the quantitative investigation of the phenomenon.

The purpose of this paper is to evaluate the impact of specific knowledge management resources (i.e. knowledge management enablers and processes) on organizational performance.

The study uses survey data from 189 managers and structural equation modeling to assess the links between specific knowledge management resources and organizational performance.

The results show that some knowledge resources (e.g. organizational structure, knowledge application) are directly related to organizational performance, while others (e.g. technology, knowledge conversion), though important preconditions for knowledge management, are not directly related to organizational performance.

The survey findings were based on a single dataset, so the same observations may not apply to other settings. The survey also did not provide in‐depth insight into the key capabilities of individual firms and the circumstances under which some resources are directly related to organizational performance.

The study provides evidence linking particular knowledge resources to organizational performance. Such insights can help firms better target their investments and enhance the success of their knowledge management initiatives.

Prior research often utilizes composite measures when examining the knowledge management‐organizational performance link. This bundling of the dimensions of knowledge management allows managers and researchers to focus on main effects but leaves little room for understanding how particular resources relate to organizational performance. This study addresses this gap by assessing the links between specific knowledge management resources and organizational performance. The results show that some resources are directly related to organizational performance, while others are not.

Project delivery organizations (PDO) have to develop competitive advantage against new entrants. This study aims to explore the knowledge conversion transactions proposed by Nonaka and Takeuchi (1995) in project phases through the interplay of dynamic and operational capabilities. This study is based on a case study for a PDO in the engineering industry.

This study proposes a model of dynamics between the constructs, and its illustration with a case study of a PDO. The research extends the socialization, externalization, combination and internalization (SECI) model of knowledge management (KM).

This study provides an overview of existing research related to the constructs like applicability of operational and dynamic capabilities, knowledge configuration and knowledge management processes to individual projects delivered by a PDO for its clients. Further, this study provides an overview of the knowledge configuration adopted by an organization and how it helps to build the competitive advantage of an organization.

This study proposes a model for applying the constructs to each of the phases of a project. It then illustrates the knowledge value chain in a PDO in the field of engineering projects with detailed insights into the steps of sensing, seizing and sharing knowledge across the project life cycle.

Project-based firms can use the learnings and create their own SECI model linking the conceptual model of KM and PDO and KM value chain.

In social projects implementation, this conceptual model and process will be helpful in building efficiency and effectiveness.

This case study presents the knowledge value chain in a PDO in the field of engineering projects with detailed insights into the steps of sensing, seizing and sharing knowledge across the project life cycle.

The purpose of this paper is twofold: first, to evaluate the roles of a transactive memory system and the supply network flexibility (SNF) of the firm as antecedents of a firm’s supply chain agility (FSCA), also incorporating the moderating role of the transactive memory system; and, second, to evaluate the relationship between FSCA and operations performance (OP).

Four hypothesized relationships are tested with survey data from 190 high-tech firms using structural equation models.

FSCA can be enhanced through the transactive memory system and SNF, although a higher degree of transactive memory system weakens the positive relationship between SNF and FSCA. A positive relationship is identified between FSCA and OP, while FSCA mediates the relationship between SNF and OP.

Managers can increase FSCA and improve OP by developing both the transactive memory system and SNF. Given that firms have limited resources, investment in internal capabilities should be prioritized as this appears to be more effective at developing FSCA.

The findings expand the literature by exploring two antecedents of FSCA and by analyzing the impact of FSCA on different measures of OP. Few prior studies have highlighted the importance of the transactive memory system to the operations function.