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This study aims to assess the effectiveness of a scale measuring artificial intelligence capabilities by using the resource-based theory. It seeks to examine the impact of these capabilities on the organizational-level resources of dynamic capabilities and organizational creativity, ultimately influencing the overall performance of government organizations.

The calibration of artificial intelligence capabilities scale was conducted using a combination of qualitative and quantitative analysis tools. A set of 26 initial items was formed in the qualitative study. In the quantitative study, self-reported data obtained from 344 public managers was used for the purposes of refining and validating the scale. Hypothesis testing is carried out to examine the relationship between theoretical constructs for the purpose of nomological testing.

Results provide empirical evidence that the presence of artificial intelligence capabilities positively and significantly impacts dynamic capabilities, organizational creativity and performance. Dynamic capabilities also found to partially mediate artificial intelligence capabilities relationship with organizational creativity and performance, and organizational creativity partially mediates dynamic capabilities – organizational creativity link.

The application of artificial intelligence holds promise for improving decision-making and problem-solving processes, thereby increasing the perceived value of public service. This can be achieved through the implementation of regulatory frameworks that serve as a blueprint for enhancing value and performance.

There are a limited number of studies on artificial intelligence capabilities conducted in the government sector, and these studies often present conflicting and inconclusive findings. Moreover, these studies indicate literature has not adequately explored the significance of organizational-level complementarity resources in facilitating the development of unique capabilities within government organizations. This paper presents a framework that can be used by government organizations to assess their artificial intelligence capabilities-organizational performance relation, drawing on the resource-based theory.

Small and medium enterprises (SMEs) in emerging economies face significant challenges in formulating effective strategies to enter international markets, particularly amid uncertain conditions such as the COVID-19 pandemic. Consequently, there is a pressing need to examine the performance of these SMEs and evaluate their internationalization process. This study aims to examine the effects of international entrepreneurial orientation on the internationalization performance of SMEs and the mediating effects of organizational dynamic capability and organizational culture in Indonesia.

This study used a quantitative method with a survey approach by distributing questionnaires to 206 SMEs in Indonesia that have implemented internationalization practices. Partial least squares-structural equation modeling (PLS-SEM) was used to predict and estimate relationships.

This study finds that one of the SMEs’ strategies to encounter the new normal era of COVID-19 is to improve their internationalization performance, especially by actively participating in international markets. The empirical results show that organizational dynamic capabilities and organizational culture are proven to fully mediate the relationship between international entrepreneurial orientation and the internationalization performance of SMEs. Meanwhile, international entrepreneurial orientation does not directly affect SMEs’ internationalization performance. This study confirms the mediating role of organizational dynamic capabilities and organizational culture in dynamic capabilities theory and their relevance to internationalization.

This study provides valuable insights and encourages owner-managers and policy-makers in emerging economies, particularly Indonesia, to develop organizational dynamic capabilities and organizational culture that align with the demands of internationalization.

This study aims to examine the relationships between organizational learning capabilities, open innovation and firm performance (FP) in the context of small and medium enterprises (SMEs) in the emerging economies.

Data collected from 384 manufacturing SMEs operating across the seven emirates of the UAE were statistically analyzed using SmartPLS 3 to examine the hypotheses of this study.

The results show that organizational learning capabilities positively influences both inbound and outbound dimensions of open innovation (OI). Inbound open innovation (IP) practice positively impacted both market effectiveness and profitability, while outbound open innovation (OP) practice only affected profitability. Findings further confirmed the mediating role of IP practice on the relationships of organizational learning capabilities with market effectiveness and profitability. In contrast, OP practice did not mediate the relationships of organizational learning capabilities with market effectiveness and profitability.

To the best of the authors knowledge, this is among the first study contributing to the extant innovation literature in terms of investigations into the significant and complex interrelations of organizational learning capabilities, OI and FP in a single study, demonstrating various theoretical implications in the context of manufacturing SMEs in emerging countries. Overall, the findings of this study confirmed that the owners/managers of the UAE’s manufacturing SMEs need to be acquainted with the need of creating a working environment fostering organizational learning processes and capabilities to enhance IP and OP activities, thereby improving their market effectiveness and profitability.

Flexibility and efficiency are dual attributes of the organizational structure that are crucial for project-driven enterprises to achieve sustainable development in a dynamic environment. However, there is a lack of research on the patterns by which the dual attributes of a project-driven enterprise’s organizational structure affect business model innovation. Employing organizational theory, this study aims to assess the mediating mechanisms and dynamic capabilities through which the dual attributes of the organizational structure influence business model innovation in project-driven enterprises.

Data were collected from 242 employees from four project-driven companies across 26 cities (e.g. Beijing, Tianjin, Guangzhou and Shenzhen) in China. Structural equation modeling revealed the relationship between organizational structure’s dual attributes and business model innovation.

The findings show that the dual attributes (flexibility and efficiency) of the organizational structure have positive impacts on business model innovation. Moreover, dynamic capabilities mediate the relationship between the dual attributes and business model innovation in project-driven enterprises.

This study provides contributions to innovation research in the context of project-driven enterprises by revealing the influence of organizational structure on business model innovation through the firms’ dynamic capabilities. Such knowledge can enable managers of project-driven enterprises to develop effective interventions to promote business model innovation.

This study investigates the roles of market, technology, and management system-related adaptive capability variables on a firm’s manufacturing adaptive capability. In addition, the study examines the effects of a firm’s manufacturing adaptive capability on its effectiveness. Further, this study tests the moderating role of organizational redundancy on the relationship between the market, technology, and management system-related adaptive capabilities and the overall manufacturing adaptive capability of a firm.

This study utilizes questionnaire-based research to test the suggested hypotheses by gathering related data from 59 manufacturing firms.

This study determined that a firm’s technology and management system-related adaptive capability positively relates to firm's manufacturing adaptive capability. Further, market adaptive capability influences manufacturing adaptive capability via the levels of technology and management system-related adaptive capabilities. Manufacturing adaptive capability is also found to be positively associated with organizational effectiveness, and resource redundancy positively moderates the relationship between management systems adaptive capability and manufacturing adaptive capability. Conversely, resource redundancy negatively moderates the relationship between technology adaptive capability and manufacturing adaptive capability. Finally, this study demonstrates that information redundancy does not moderate the desired relationship between all the adaptive capability-related variables for firms.

This study has some limitations inherent in survey design, mainly for both convenient sampling and country context.

This study suggests that management should improve firm’s manufacturing adaptive capability to enhance firm's overall effectiveness. For that purpose, managers should consider the interrelationships between the market and a firm’s technology, management system, and manufacturing-related adaptive capabilities. Management should also consider the importance of using resource-related redundancy to leverage the relationship between a firm’s management adaptive capability and manufacturing adaptive capability. At the same time, management should be aware of certain reverse effects of resource redundancy on both technology adaptive capability and the manufacturing adaptive capability linkage of a firm.

This study expands the understanding of the adaptive capability of firms by examining how manufacturing adaptive capability can be further enhanced. The study also offers a model for the potential relationships that develop between different aspects of organizational adaptive capability by applying the contingency role of organizational redundancy variables.

This study draws on technological frames to provide an understanding of organizational processes of strategizing by exploring how strategizing organizational capabilities for industrial digitalization could be understood through managers' perceptions of digital technology applications. This study complements earlier research focused on industry outcomes by addressing technological frames to understand how strategizing organizational capabilities within industrial digitalization may provide insight into socio-cognitive aspects which may affect technology-induced organizational change.

The single case study uses 14 in-depth interviews collected over two years (October 2020 to February 2022). The study follows an interpretative research design exploring managers' perceptions of industrial digitalization through a digitalization project.

The case study contributes to research by emphasizing socio-cognitive aspects through technological frames exploring how and why managers' perceptions of industrial digitalization affect strategizing organizational capabilities. The study contributes to practice by bringing attention to the disparate views of industrial digitalization. By illustrating how socio-cognitive aspects shape organizational capabilities, this study offers managers valuable insight into the relationship between an organization's capabilities, the individual and the shared structures affecting a digitalization project.

The case study is limited to Swedish manufacturing industries and is not aiming to be transferred or generalized to other industrial contexts or countries.

This study recognizes that strategizing organizational capabilities depends on managers' ability to illuminate the socio-cognitive aspects. Hence, the study contributes to practice by bringing attention to the disparate views among managers on the enhancement efforts made using digital technologies.

Knowledge organisations perform knowledge processes, using their primary resources of intellectual capital, and their key input of information. Their effectiveness in performing these processes depends on their knowledge capabilities. In most cases these capabilities must be highly dynamic in order to respond to the changing environment of the organisation and resulting evolution of the required core knowledge processes of the organisation. All organisational development must be centred around developing those dynamic knowledge capabilities on an ongoing basis. The strategic capabilities of an organisation depend on its ability to process rapidly changing information and perspectives on the organisation and its business environment, so these are in fact high‐order knowledge capabilities. The development of organisational knowledge capabilities can be addressed most completely by considering the four fields of individual technology, organisational technology, individual skills and behaviours, and organisational skills and behaviours.

This paper aims at defining a model to properly evaluate knowledge management (KM) value. Empirical studies have found little or no improvement in organizational performance despite large KM investments.

The KM-driven performances are rooted in knowledge resources based on the knowledge-based view. Further, the KM-driven performances are mediated by business process capabilities. Organizational learning is critically complementary to KM for being a moderator to knowledge resources. A model was proposed for defining the performance with the relationships between these issues. A survey was conducted for collecting empirical data. Partial least squares was used for path analysis.

Knowledge resources lay a foundation on the KM-driven performance through the mediator of business process capabilities. Specifically, knowledge assets and process capabilities are two different but relevant drivers in a value creation process. The findings particularly provide evidence to explain the knowledge-based view and the mediator of business process capabilities.

While an organization owns important knowledge resources in the industry, it should dedicate its effort to the improvement of business process capabilities for well-achieving final performance. The KM-driven performance should be considered for both financial and non-financial indicators in a complementary manner.

Extant theories may provide inadequate methods to evaluate KM-enabled performance. This study attempted to define an effective model for this issue. This model empirically demonstrated its capability to work on this issue.

This paper aims to find out how construction organizations can achieve excellence and enhance excellence through knowledge and workforce management. The combination of knowledge and workforce management, referred to here as the People Capability, is the key area of concern in this study.

The European Foundation for Quality Management (EFQM) model of organizational excellence is used as the basis for organizational excellence assessment and system dynamics is used as the modeling tool. Scenario analysis is conducted to identify the enabling factors that are more significant for organizational excellence, as well as how these factors operate and interact.

Based on the outcomes of the model, human resource development and training is the most important enabling factor that enhances organizational capabilities. Both workforce management and knowledge management are key components of People Capability, and they play crucial roles in the performance of construction firms. There is a high degree of dependence on these two components. Human resource development and training affect all capability areas and are key to the effective implementation of capability building programs.

Organizations might have various options in choosing different policies, and those policies can be planned and expressed in different manners and scales. How can an organization determine which scenarios end up producing desired performance results? Simulation techniques, especially system dynamics, have been used to answer these types of questions due to their ability to model causal relationships among various system components. The results of this research can help construction organizations identify effective knowledge and workforce management policies and capability-building programs that improve their organizational capabilities.

This paper aims to attempt to bring together various organisational aspects that have never been collectively investigated before in the strategic management literature. Its main objective is to examine the relationship between “strategic orientation” and “firm performance”, in the light of two firm-specific factors (“distinct manufacturing capabilities” and “organisational structure”). The proposed research model of the present study is built upon the resource-based view (RBV) of the firm and the organisational aspect of the VRIO framework (the “O” from the VRIO model).

The study proposes a newly developed research model that adopts a four-factor approach, while examining a number of direct and indirect effects. The examination of the proposed research model was made with the use of a newly developed structured questionnaire that was distributed on a sample of Greek manufacturing companies. Research hypotheses were tested using the structural equation modelling technique. The present study is explanatory (examines cause and effect relationships), deductive (tests research hypotheses), empirical (collects primary data) and quantitative (analyses quantitative data that were collected using a structured questionnaire).

The empirical results suggest the coexistence of three distinct categories of effects on “firm performance”: strategy or “utility” effects, depending on the content of the implemented strategy; firm-specific effects, depending on the content of the organisational resources and capabilities; and organisational effects, depending on the implemented organisational structure. More specifically, the statistical analysis underlines the significant mediating role of “strategic orientation” and the complementary role of “organisational structure”. Finally, empirical results support the argument that “strategy follows structure”.

The use of self-reported scales constitutes an inherent methodological limitation. Moreover, the present study lacks a longitudinal approach because it provides a static picture of the subject under consideration. Finally, the sample size of 130 manufacturing companies could raise some concerns. Despite that, previous empirical studies of the same field, published in respectable journals, were also based on similar samples.

When examining the total (direct and indirect) effects on “firm performance”, it seems that the effect of “organisational structure” is, almost, identical to the effect of “distinct manufacturing capabilities”. This implies that “organisational structure” (an imitable capability) has, almost, the same contribution on “firm performance” as the manufacturing capabilities of the organisation (an inimitable capability). Thus, the practical significance of “organisational structure” is being highlighted.

There has been little empirical research concerning the bundle of firm-specific factors that enhance the impact of strategy on business performance. Under the context of the resource-based view (RBV) of the firm, the present study examines the impact of “organisational structure” on the “strategy-capabilities-performance” relationship, something that has not been thoroughly investigated in the strategic management literature. Also, the present study proposes an alternate measure for capturing the concept of business strategy, the so-called factor of “strategic orientation”. Finally, the study adopts a “reversed view” in the relationship between structure and strategy. More specifically, it postulates that “strategy follows structure” and not the opposite (“structure follows strategy”). Actually, the empirical data supported that (reversed) view, challenging the traditional approach of Chandler (1962) and calling for additional research on that ongoing dispute.