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The present study aims to examine the relationships between digital business transformation, organizational learning, frugal innovation and Small and Medium Enterprises (SMEs) resilience in emerging markets.

Empirical data collection has been implemented using a questionnaire method from 214 owners and managers of SMEs. The partial least squares structural equation modeling (PLS-SEM) approach was used to examine the measurement model and test hypotheses.

The results show that digital business transformation significantly impacts frugal innovation and SMEs' resilience in emerging markets. They also confirm the significant impact of frugal innovation on SMEs' resilience. Furthermore, the results revealed that organizational learning significantly impacts digital business transformation, frugal innovation and SMEs' resilience.

This study provides novel insights into the existing theories and literature regarding the determinants of SMEs' resilience in emerging markets. It also provides practical contributions, confirming the SMEs' need to develop their dynamic capabilities, including digital transformation, frugal innovation and organizational learning to maintain their resilience.

This study examines how intellectual capital (IC) drives firm performance via the lens of dynamic capabilities (DCs). Drawing on resource-based view (RBV) and dynamic capability view (DCV), the authors elaborate the mediating role of learning, integration and reconfiguration DC in the Indian banking context.

A sample of 358 top- and middle-level managers from the Indian banking sector was administered with structured questionnaires for data collection. Structural equation modeling (SEM) and Sobel test were used to analyze the data and test the hypothesized mediating effect.

The findings reveal that learning and integration DCs are key mediators in IC and banks' performance relationships in an emerging economy context. In contrast, the analysis revealed partial mediating role of reconfiguration DC. Furthermore, the learning DC has been identified as the primary mediating mechanism for transforming bank's IC into performance benefits.

This study provides an important implication for the IC and DC link by empirically developing and validating a model in the Indian banking sector and making a several contributions to the related literature. This sector needs to incorporate and strengthen their IC and DCs to attain enhanced performance in today's dynamic environment. Bank managers can use these findings to bring their knowledge-related activities to channelize specific DCs to transform banks' IC when seeking to improve overall performance. Theoretically, this study extends previous research by outlining a set of organizational elements that tend to influence firm performances with the help of IC, learning, integration and reconfigurations DCs.

Although several studies have investigated the links between IC, DC and firm performance, studies on emerging economies are scarce. This study is one of the most in-depth investigations of the relationship between IC, learning, integration and reconfiguration DCs and firm performance in an integrated framework, with a particular focus on the banking sector of an emerging economy.

This study aimed to analyze the role of organizational learning capability and entrepreneurial orientation on frugal innovation and, consequently, operational performance within the Brazilian textile industry.

The sample consisted of 257 valid questionnaires from the textile industry in the state of Santa Catarina, Brazil. Data were analyzed using structural equation modeling using SmartPLS software.

The results showed that organizational learning capability is a strong driver of the operational performance when mediated by frugal innovation. Evidence also showed that relationships between entrepreneurial orientation, organizational learning capability, frugal innovation and operational performance are significant once the direct effect has more power than the indirect effect. Results elucidated different outcomes that are not in accordance with previously seen studies. Moreover, the latter shines a light on a possible interference caused by the COVID-19 pandemic.

The study clarifies the relationship that entrepreneurial orientation and organizational learning capability unleash in frugal innovation and operational performance. It also shows a new situation when looking at the relationship between entrepreneurial orientation, organizational learning capability and operational performance.

Using dynamic capabilities (DCs) theory, the authors assess whether micro, small and medium-sized enterprises (MSMEs) can leverage DCs to improve operational capabilities (OCs) during the COVID-19 pandemic. The authors also identify whether organizational learning (OL) affects the relationship between DCs and OCs.

The authors test these propositions on a sample of 419 MSMEs from Australia and New Zealand.

DCs have no direct effect on OCs, technological or marketing capabilities (TCs or MCs). OL moderates the effect of DCs on both TCs and MCs.

The study assesses only MCs and TCs as OCs and does not explicitly measure pandemic impacts on organizations. However, the results illustrate the importance of OL during crises for recovery purposes.

Managers can use the findings to improve structure, processes and knowledge management emanating from MCs and TCs within organizations impacted by the COVID-19 pandemic.

The authors use a multi-dimensional measure of OL and show that during the pandemic, OL is a critical factor that allows organizations to transform the benefits conferred by DCs into MCs and TCs.

Although businesses continue to take up artificial intelligence (AI), concerns remain that companies are not realising the full value of their investments. The study aims to provide insights into how AI creates business value by investigating the mediating role of Business Process Management (BPM) capabilities.

The integrative model of IT Business Value was contextualised, and structural equation modelling was applied to validate the proposed serial multiple mediation model using a sample of 448 organisations based in the EU.

The results validate the proposed serial multiple mediation model according to which AI adoption increases organisational performance through decision-making and business process performance. Process automation, organisational learning and process innovation are significant complementary partial mediators, thereby shedding light on how AI creates business value.

In pursuing a complex nomological framework, multiple perspectives on realising business value from AI investments were incorporated. Several moderators presenting complementary organisational resources (e.g. culture, digital maturity, BPM maturity) could be included to identify behaviour in more complex relationships. The ethical and moral issues surrounding AI and its use could also be examined.

The provided insights can help guide organisations towards the most promising AI activities of process automation with AI-enabled decision-making, organisational learning and process innovation to yield business value.

While previous research assumed a moderated relationship, this study extends the growing literature on AI business value by empirically investigating a comprehensive nomological network that links AI adoption to organisational performance in a BPM setting.

Influenced by factors such as fluctuations in market supply and demand and the rapid development of new technologies, manufacturing companies are facing greater challenges to transform and upgrade. The existing relevant studies about sustainable innovation capabilities mostly focus on classification of innovation or from a static resource-based view and less on quantitative measurement from a dynamic perspective and inter-organizational relationships. This paper takes a dynamic capabilities and social capital theory, explore the concept and dimensions of sustainable innovation capabilities and then makes development of a new scale.

This paper uses a combination of qualitative and quantitative research methodologies to develop a measure of sustainable innovation capabilities in two studies. Grounded theory methodology is used to explore the concept definition and dimensions of sustainable innovation capabilities. Exploratory factor analysis and confirmatory factor analysis are conducted to refine and validate the factor structure, and then the authors developed the sustainable innovation capabilities scale.

The results show that sustainable innovation capabilities composed of ideation capabilities, opportunity capture capabilities, agile learning, creative inheritance and networking capabilities. The sustainable innovation capabilities that firms should possess are reflected at the firm level and inter-organizational relationship level, and the culture-specific dimension of creative inheritance reflects the influence of national and organizational culture.

The research reveals the internal driving force of the manufacturer's sustainable innovation capabilities, as well as the role and uniqueness embodied in the specific culture, providing a new perspective for improving the manufacturer's sustainable innovation capabilities.

The purpose of the present study was to identify the conditions that affect the absorptive capacity (AC) of knowledge, discover its consequences and design an AC paradigm pattern in public academic libraries. To do so, AC was investigated at the levels of individual and organizational learning.

In this paper, to answer the three major questions of this qualitative-survey study, the views of 24 experts were examined using an in-depth semi-structured interview and grounded theory strategy. The data were collected using a nonrandom combined targeted sampling procedure (targeted and snowball) and analyzed based on Strauss and Corbin’s (1998) approach and utilizing MAX Qualitative Data Analysis (MAXQDA) software.

Throughout the grounded analytic stages, 121 open codes were identified. These were distributed around the AC axial category in academic libraries in terms of individual and organizational learning. The 33 axial concepts were then categorized into 16 selective general categories. The paradigm pattern was initially designed to explore the relationships between causal, intervening, strategies, context and consequences conditions. The transition from academic libraries to learning organizations, their increased functional value and the development of their innovation were identified as the consequences of AC development.

This qualitative research is the first in the field of Library and Information Science (LIS) to support AC both theoretically and empirically in terms of learning in academic libraries. This study thus not only addresses a key research gap in LIS but also provides significant insights and direction to interested librarians and researchers.

This study aims to answer the question of how incumbent firms cultivate dynamic capabilities through knowledge management so that they can efficiently adapt to the changing external environment.

This study adopts a case study approach and collects data through interviews and secondary public information on the lighting industry and two lighting firms in Lin'an, China. It qualitatively examines the challenges and strategic recommendations for incumbent firms in the context of discontinuous technological change from a knowledge management perspective.

Incumbent firms often face a variety of challenges when responding to discontinuous technological change. These challenges include identifying opportunities, overcoming path dependence and dealing with employee resistance to change. To overcome these difficulties, three strategies have been proposed to enhance the dynamic capabilities of incumbent firms through knowledge management: cross-border search helps firms improve their knowledge acquisition capabilities and better understand their environment to identify opportunities; building strategic leadership overcomes path dependence and improves knowledge integration capabilities; organizational learning deepens employees’ understanding of change and enhances organizational knowledge application capabilities.

Previous research attributes a firm's ability to cope with discontinuous technological change solely to its general resources, which weakens the importance of knowledge management in this context. This study emphasizes the importance of knowledge as a crucial strategic resource in developing the essential dynamic capabilities for incumbent firms to cope with discontinuous technological change.

This study provides an in-depth analysis of incumbent firms' coping strategies in the new context of discontinuous technological change and further promotes cross-disciplinary research.

This study provides an in-depth analysis of coping strategies in the new context of discontinuous technological change, furthermore theoretically advancing the interdisciplinary research of firm transformation and knowledge management. Meanwhile, it is crucial to identify the preconditions for cultivating dynamic capabilities, especially from a knowledge-based view, which enhances the depth of knowledge management research.

Within the context of an open innovation business environment, the frequent interaction and coordination activities among heterogeneous partners have a significant impact on enterprises' business model. Nevertheless, fewer empirical research has been made to explore how to match external partners and update organizational dynamic capabilities at an ecosystem level. Therefore, this paper attempts not only to investigate the direct impact of partner match on different business model innovation (BMI) themes (efficiency-centered BMI and novelty-centered BMI) but only to shed light on the pivotal mediating role of interfirm dynamic capabilities.

This paper utilized the methodology of Partial Least Squares Structural Equation Modeling (PLS-SEM) to investigate the impact of diverse partner selection criteria and interfirm dynamic capabilities on two distinctive themes of BMI. More than 20 industry clusters with multiple industries were selected as representatives of the creative ecosystem, predominantly from the Yangtze River Delta region. Valid data were collected from 254 managers by both online questionnaires and offline interviews.

The findings of the study show that different partner match criteria have distinct direct impacts on BMI themes. Partner complementary and partner synergy, deriving from the “task-related criteria”, are significantly correlated with both EBMI and NBMI. Conversely, partner compatibility, deriving from “Partnering-related Criteria”, shows a positive correlation with EBMI but not NBMI. Furthermore, compare the indirect effect on EBMI, the paper’ results demonstrate interfirm dynamic capabilities as mediator can more maximize external benefits to promote NBMI.

The study findings effectively help enterprises implement different BMI themes. From a management perspective, whether pursuing EBMI or NBMI, enterprises should consciously seek partners who can provide complementary support or share mutual goals across diverse industries. This strategic approach can significantly enhance the opportunities for sustainable and innovative business development. Furthermore, to successfully accomplish NBMI, enterprises must cultivate interfirm dynamic capabilities encompassing a comprehensive range of cross-organizational innovation capacities, such as bolstering organizational learning capability, establishing interactive network platforms to enhance coordination capabilities and engaging in integrative activities to foster a collective mindset.

This paper contributes to the match theory by introducing three critical matching criteria, enabling enterprises to discern partners based on diverse organizational characteristics. Additionally, this paper broadens the scope of the dynamic capability literature by adopting a network perspective to strengthen interaction and relationship mechanisms. The authors primarily elucidate the concept of interfirm dynamic capabilities as a formative higher-order model formed by three sub-capabilities (absorptive capacity, coordination capability and collective mind). Finally, this paper combines matching theory with dynamic capacity theory to the field of BMI, which adds depth and complexity to the existing ecosystem innovation research.

The purpose of this study is to investigate the role of knowledge management (KM) practices on innovation performance. It also examines whether organisational creativity and organizational learning mediate the relationship between KM practices and innovation performance.

The study uses a quantitative method by surveying (n = 291) hotel employees from Malaysia using self-administered questionnaires. Data collected were analysed by using partial least squares structural equation modelling.

Findings reveal that KM positively impacts innovation performance among Malaysian hospitality workers. This study further reveals that organisational learning and organisational creativity significantly mediate the relationship between KM and innovation performance.

Theoretically, this study establishes how KM practices influence innovation performance. Organizations that practice organizational learning and creativity are more likely to benefit from increased innovation outcomes through KM practices.