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The objective of this study is to analyze the conceptual and domain overlap of organizational learning and organizational resilience; specifically, the adaptation or renewal domain in organizational resilience. From the findings, strategies to foster collective learning leading to organizational resilience are identified and outlined.

Recent organizational resilience conceptual models were analyzed to identify the conceptual overlap between the renewal and adaptation domain of organizational resilience and organizational learning. From the analysis of the models, implications were drawn based on the conceptual overlap found in organizational learning and the adaptable or renewal domain of organizational resilience.

To build the renewal or adaptation domain of organizational resilience, organizations must embody learning into a capability. Systems are then required for learning to remain continuous and foster knowledge acquisition, distribution, interpretation, and organizational memory that leads to dynamic capabilities for renewal and adaptation. The learning strategies must then focus renewing what is known in traditional approaches to organizational learning that supports experiential learning, developing systematic approaches to learning, and creating contexts to facilitate organizational learning. When this knowledge is aggregated to an organizational level, it contributes to resilience.

As organizational resilience grows in attention and importance; it is necessary to investigate similarities and conceptual domain overlap. This study contributes to this need and identifies what can be implemented in learning strategies for organizations’ resilience capacity.

This study quantitatively investigates the impacts of digital and learning orientations on supply chain resilience (SCR) and firm performance (FP), aiming to fill the gaps in understanding their specific impacts in the context of Industry 4.0 developments and supply chain disruptions.

This study utilized survey techniques and structural equation modelling (SEM) to gather and analyse data through a questionnaire based on a seven-point Likert scale. Hypotheses were formulated based on an extensive literature review and tested using Amos software.

The study confirms SCR’s significant impact on FP, aligning with existing research on resilience’s role in organizational competitiveness. This study uncovers the nuanced impacts of digital and learning orientations on SCR and FP. Internal digital orientation (DOI) positively impacts SCR, while external digital orientation (DOE) does not. Specific dimensions of learning orientation – shared vision (LOS), open-mindedness (LOO) and intraorganizational knowledge sharing (LOI) – enhance SCR, while commitment to learning (LOC) does not. SCR mediates the relationship between DOI and FP but not between DOE and FP.

This research focuses on digital and learning orientations, recommending that future studies investigate other strategic orientations and examine the specific contributions of various digital technologies to SCR across diverse contexts.

The empirical findings emphasize the significance of developing internal digital capabilities and specific learning orientations to enhance SCR and FP, aligning these initiatives with resilience strategies.

This study advances knowledge by distinguishing the impacts of internal and external digital orientations and specific learning dimensions on SCR and FP, offering nuanced insights and empirical validation.

Resilience while learning is the capacity to initiate, persist and direct effort toward learning when experiencing unpleasant affective states. The underlying mechanisms of resilience are emotional buffering and self-regulation when experiencing unpleasant affective states. The authors identified four factors that support resilience while learning: positive emotional engagement, creative problem-solving, learning identity and social support. The authors developed and tested scales and found evidence to support the four-factor model of resilience. The authors offer a person-centered approach to resilience in learning by conducting a latent profile analysis that tested the likelihood of resilience based on profiles of differences in scores on these factors under two affective conditions: (unpleasant) learning during frustration versus (pleasant) learning during progress. A quarter of individuals activated the four resilience factors in pleasant and unpleasant affective states, while 75% of participants saw decrements in these factors when faced with frustration. The results support a four-factor, person-centered approach to resilience while learning.

The authors develop and test a four-factor model of resilience and test the model in a group of 330 management undergraduate and graduate students. Each participant identified two learning episodes in their responses, one while frustrated and one while making progress, and ranked the level of intensity on the four resilience factors. Analysis on an additional 88 subjects provided additional support for the validation and reliability of scales.

Results revealed 2 latent profiles groups, with 25% of the sample associated with resilience (low difference on resilience factors between the two learning episodes) and 75% who remain susceptible to unpleasant emotions (high difference between the two learning episodes).

The study supports a person-centered approach to resilience while learning (in contrast to a variable centered approach).

The study provides a means to classify individuals using a person-centered, rather than a variable-centered approach. An understanding of how individuals buffer and self-regulate while experiencing unpleasant affect while learning can help educators, consultants and managers develop better interventions for learning.

This study addresses the growing concern over student success associated with increased dropout rates among undergraduate business students, and the failure of many management developments and executive training efforts. This study suggests that looking at specific variables may not provide insight into the complex relationship between learning outcomes and factors that support resilience in learning.

There is growing interest in understanding resilience factors from a person-centered perspective using analytical methods such as latent profile analysis. This is the first study to look at how individuals can be grouped into similar profiles based on four resilience factors.

This study explores resilience learning from uncertainty, taking a holistic view by considering individual, firm and contextual factors. Resilience development is understood by focusing on how uncertainty is related to entrepreneurs and their environment, suggesting that developing resilience needs to be a continuous learning process.

This qualitative study explores factors related to entrepreneurial uncertainty, resilience and learning. Evidence is drawn from interviews with rural entrepreneurs in two regions of Indonesia, and analyzed using a rigorous approach to generate codes, second-order themes and aggregate dimensions for the theoretical contributions.

Uncertainty readiness, uncertainty response and uncertainty opportunity for resilience emerge as the key learning areas from this study. They are related to resilience on a personal, community and systemic level. The proposed framework relates learning from uncertainty to the process of developing resilience for entrepreneurs and their communities.

This study proposes a framework based on resilience motivation and learning from uncertainty as usual. It explores the relationships between uncertainty readiness, responses and opportunities with personal, relational and systemic resilience factors. This contributes to entrepreneurship behavior research at the intersection of organization studies and management in the socio-economic and often informal context of developing countries.

The purpose of this paper is to empirically validate the positive effect of learning on organizational resilience and, within this relationship, understand the role of unlearning in the COVID-19 crisis context and progress the current knowledge about these concepts.

This paper uses online survey data from German and Austrian organizations’ employees to test hypotheses derived from frameworks by Duchek (2019), Stephenson (2010) and Fiol and O’Connor (2017). The used questionnaire is built out of three pre-tested questionnaires to increase reliability. Conceptually, this paper takes a capability approach and a process perspective.

The results support the positive effect of organizational learning on resilience, while rejecting the hypothesized moderating effect of unlearning on this relationship. Organizational learning showed to have a particularly strong positive effect on the adaptive capacity of resilience, compared to organizational resilience overall.

To build a learning capability for organizational resilience, managers should foster an open system culture in their organization, which aims to be generally open to learn and adapt to be able to withstand adversity. During an organizational crisis, managers have the chance to rebuild organizational structures for better information flow, e.g. implementing formal knowledge management structures.

To the best of the authors’ knowledge, this paper is the first to empirically test the causal connection between organizational learning and resilience in the Central European context during the COVID-19 crisis. The inclusion of unlearning enriches the discourse about its conceptualizations and fosters future research.

This study aims to examine the impact of environmental scanning on organizational resilience through organizational learning based on organizational information processing theory (OIPT) in Egyptian small and medium-sized enterprises (SMEs) during the COVID-19 pandemic. Furthermore, this study aims to examine the moderating role of environmental uncertainty in this relationship.

The data for the mediation analysis was obtained using a cross-sectional design. Using a self-administered questionnaire, the authors collected data from a sample of 249 Egyptian SMEs. The authors tested the hypotheses using the smart partial least square structural equation modeling approach.

Organizational learning affects organizational resilience. Environmental scanning does not have a direct effect on organizational resilience. However, organizational learning fully mediates the relationship between environmental scanning and organizational resilience. Furthermore, environmental uncertainty does not moderate the indirect relationship between environmental scanning and resilience.

The sample included only Egyptian manufacturing SMEs. The results in the service sector and in other countries may differ. This study was cross-sectional, which was limited in its ability to trace the long-term effects of environmental scanning and organizational learning on organizational resilience.

Egyptian SMEs’ managers should experience organizational learning as a pathway for environmental scanning to build organizational resilience.

To the best of the authors’ knowledge, this study is the first to investigate the role of environmental scanning in building organizational resilience through organizational learning and the moderating role of environmental uncertainty in this relationship.

A plethora of research highlights the pernicious effects of English language learning demotivation on students' language learning outcomes. Therefore, to prevent students' demotivation has been a challenging task for the English language teachers. To shed fresh insight into this problem, the prime purpose of the present study was to examine the possible constituents of Pakistani university students' language learning demotivation, and how they interact with the resilience and the two personality dimensions (i.e. conscientiousness and openness to experience).

The present quantitative research study administered a questionnaire consisting of four parts to 215 undergraduate students who were enrolled in the two public universities in Quetta, the capital city of Balochistan province of Pakistan. To analyze the data, both descriptive and inferential statistics were performed with the SPSS (version 24).

The results identified both external and internal salient demotivating factors. The external factors included classroom environment, classroom learning materials, characteristics of classes, whereas lack of language learning interest and experiences of failure were the internal factors. Additionally, the results of simple linear regressions and multiple linear regressions also revealed that resilience and the two personality dimensions influenced the English language learning demotivation.

The prevalence of demotivation in the language classrooms necessitates Pakistani university English language teachers to adopt motivational teaching strategies to elicit, enhance and sustain language learners' motivation. The present study also draws the attention of the university teachers to foster students' resilience, conscientiousness and openness to prevent their language learning demotivation. The findings also implicate the ministry of education of Pakistan to equip educational institutes with language learning facilities to lower the burgeoning issue of students' language learning demotivation.

The present study provides empirical evidence regarding the interaction of resilience and personality with demotivation in the Pakistani context and contributes to the sparse existing knowledge on this issue. Additionally, the present study also establishes the knowledge that despite experiencing demotivation, language learners can regain language learning motivation through their resilience as well as behavioral patterns (i.e. being conscientious and open).

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.

Drawing upon socio-technical system theory, this study intends to investigate the effects of the congruence and incongruence between artificial intelligence (AI) and explorative learning on supply chain resilience as well as the moderating role of organizational inertia.

Using survey data collected from 170 Chinese manufacturing firms, we performed polynomial regression and response surface analyses to test our hypotheses.

We find that the congruence between AI and explorative learning enhances firms’ supply chain resilience, while the incongruence between these two factors impairs their supply chain resilience. In addition, compared with low–low congruence, high–high congruence between AI and explorative learning improves supply chain resilience to a greater extent. Moreover, organizational inertia attenuates the positive influence of the congruence between AI and explorative learning on supply chain resilience, while it aggravates the negative influence of the incongruence between these two factors on supply chain resilience.

Our study expands the literature on supply chain resilience by demonstrating that the congruence between a firm’s AI (i.e. technical aspect) and explorative learning (i.e. social aspect) boosts its supply chain resilience. More importantly, our study sheds new light on the role of organizational inertia in moderating the congruent effect of AI and explorative learning, thereby extending the boundary condition for socio-technical system theory in the supply chain resilience literature.

Two main purposes guide this study. The first is to assess the level of individual, group, and organizational learning at Qatar University (QU), and the level of career resilience among its faculty members. The second is to explore the relationships between these levels of learning at QU and the career resilience of its faculty members.

This study is quantitative in nature and was conducted using a survey methodology as its research design. A variety of statistical techniques were utilized in this research. A multiple regression model, the Pearson production‐moment correlation coefficient (r), means, and standard deviations were used as the main statistical techniques.

The findings of this study indicated that faculty members at QU practice three different levels of learning – i.e. individual learning, departmental learning, and university learning – separately or combined in a moderately high way. Further, the results clarified that faculty members at QU perceived themselves to have a moderately high level of career resilience. In terms of the relationship between career resilience and the three different levels of learning, the results of the Pearson production‐moment correlation coefficient (r) and the coefficient of determination, R², statistically confirmed the positive, modest, and significant relationship between career resilience and the three levels of learning combined.

A hypothesized correlation between career resilience and organizational learning is affirmed. The results of this study confirm the feasibility of connecting two emerging frameworks, i.e. organizational learning and career resilience. Therefore, studying the organizational learning of faculty members is a device that can be used to predict the possibility of faculty members adopting the characteristics and values of a learning organization in their academic life individually or organizationally, while displaying minimal dysfunctional behavior through their career resilience.