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This paper’s main aim is to check the mediating effect of supply chain memory in the relationship between using digital technologies and both supply chain resilience and robustness. In addition, the impact of the COVID-19 disruption was tested as a moderator of the impact of supply chain memory on supply chain resilience and robustness.

Altogether, 257 supply chain managers answered the questionnaire, and data were analysed through structural equation modelling.

This paper contributes to theory and practice by demonstrating that the experience, familiarity and knowledge to deal with disruptions partially mediate the relationship between digital technologies, resilience and robustness. Moreover, our results show that memory is less efficient for the supply chain to maintain an acceptable level of performance in case of a new extreme disruptive event like COVID-19. The full model was able to explain 36.90% of supply chain memory, 41.58% of supply chain resilience and 46.21% of supply chain robustness.

The study helps to understand how to develop supply chain memory, positioning digital technologies as an antecedent of it. The impact of supply chain memory on supply chain resilience and robustness is proved. Knowledge about the impact of industry 4.0 technologies on disruption management is quantitatively improved. It demonstrates that digital technologies impact resilience and robustness mainly through supply chain memory. The study proves that supply chain memory is less efficient for the chain remains effective when a non-routine disruptive event occurs, but it is still imperative to recover from it.

The spread of technology usage and the increasing popularity of network technology have formed a basis for alternative working systems as virtual teams and teleworking in the working environment. However, social relations have weakened in these working systems and loneliness has become a common emotion in the workplace. Hence, the concept of loneliness has attracted significant interest in recent years. Yet, despite this interest, research examining loneliness in the workplace is limited in the literature. This study aims to investigate the role of workplace loneliness on intrinsic motivation and the effect of intrinsic motivation on employee well-being through the moderating role of organizational nostalgia.

Data were collected from 380 respondents working in different sectors. The hypotheses were tested by using structural equation modeling and PROCESS macro for SPSS.

Results empirically showed that workplace loneliness negatively relates to intrinsic motivation, intrinsic motivation positively relates to employee well-being, intrinsic motivation mediates the link between workplace loneliness and employee well-being and organizational nostalgia moderates the link between workplace loneliness and intrinsic motivation. Furthermore, organizational nostalgia also moderates the indirect effect of workplace loneliness on employee well-being through intrinsic motivation.

To the best of the authors’ knowledge, this study contributes to the existing literature on workplace loneliness by investigating underlying mechanisms and boundary conditions for loneliness in the workplace.

This research aims to identify the most suitable intergenerational learning strategies for the private higher education institutions, using the analytic network process.

In order to achieve this goal, two private higher education institutions from Curacao and Spain are analyzed. Data are collected based on a systematic literature review and Delphi studies and processed using the analytic network process.

The results show that teachers also learn at the workplace not only through the formal educational system but also through volunteering activities, mixed-aged teams, and mentoring, which are the most appropriate strategies for fostering intergenerational learning in the private higher education institutions. Besides, their selection is strongly influenced by institution's structural capital (namely, institutional policy, organizational culture, organizational memory) and by employees' psychological profile (such as interpersonal trust, knowledge self-efficiency, motivation).

This research helps the policymakers to prepare for the upcoming aging society by providing them with a viable tool for selecting the most suitable IGL strategy. Furthermore, it supports strategic thinking and scenario development by emphasizing how the situation could change if the importance of the individual and organizational factors varies.

This article explores memory work and storytelling as an organising tool through family histories, offering theoretical and methodological implications and extending existing conceptualisations of memory work as a feminist method. This approach is termed as impressionist memory work.

To illustrate impressionistic memory work in action, the article presents two family histories set during Second World War and invite the reader to engage in the “undoing” of these stories and dominant ways of knowing through storytelling. This method challenges the taken-for-granted roles, plots and detail of family histories to uncover the obscured or silenced stories within, together with feminine, affective and embodied subjectivities, marginalisation and social inequalities.

This study argues that impressionistic memory work as a feminist method can challenge the silencing and gendering of experiences in co-constructed and co-interpreted narratives (both formal and informal ones).

This study shows that engagement with impressionistic memory work can challenge taken-for-granted stories with prominent male actors and masculine narratives to reveal the female actors and feminine narratives within. This approach will offer a more inclusive perspective on family histories and deeper engagement with the marginalised or neglected actors and aspects of our histories.

This study aims to investigate the impact of environmental scanning on organizational resilience through the mediation of organizational learning and innovation based on organizational information processing theory (OIPT) within Egyptian small and medium enterprises (SMEs) during the COVID-19 pandemic.

This study adopted a cross-sectional design to collect the data used to carry out mediation analysis. A self-administered questionnaire was used to collect data from a sample consisting of 249 Egyptian SMEs. The smart partial least square structural equation modeling (PLS-SEM) technique was adopted to test the hypotheses.

Environmental scanning does not have a direct effect on organizational resilience. However, organizational learning and innovation fully mediate the relationship between environmental scanning and organizational resilience.

The sample size was small, covering only Egyptian manufacturing SMEs. The results may differ in the service sector and other countries. The study was cross-sectional which is limited to tracing the long-term effects of environmental scanning, organizational learning and innovation on organizational resilience. Accordingly, a longitudinal study may be undertaken.

Managers in Egyptian SMEs should use signals from environmental scanning activities as input for learning and transforming business processes through innovation to develop organizational resilience.

This study is the first to investigate the role of environmental scanning in building organizational resilience through organizational learning and innovation based on the perspective of OIPT within Egyptian SMEs during the COVID-19 crisis.

The purpose of this conceptual paper is to provide a foundation for human resource development (HRD) scholars in attempts to devise mechanisms for establishing and facilitating actionable pathways through which unlearning can be acknowledged and serve as a contributing agent for HRD interventions. This paper concludes with a call to action for our HRD colleagues to join us in further examination of unlearning interventions within the organizational context.

This paper narratively details the literature associated with the myriad social science domains that have investigated the unlearning process. Additionally, a cross-disciplinary literature review provides the basis for an operational definition of unlearning provided herein.

The field of HRD is devoted to creating learning organizations as well as utilizing change initiatives to develop organizations. However, unlearning has been largely ignored within the field of HRD.

The first contribution is by answering the call of scholars across varied disciplines to further investigate unlearning within the organizational context (Bettis and Prahalad, 1995; Hedberg, 1981; Nystrom and Starbuck, 1984). Additionally, this paper seeks to specifically address the role that unlearning holds within the field of HRD as it builds upon the definition provided by Wang et al. (2017) and offers its own operational definition. Finally, this paper provides the only known review of cross-disciplinary research pertaining to unlearning.

This study aims to answer pertinent questions related to the quality of the organisational learning capability measurement model.

A time-separated design informed data collection. The organisational learning capability was exposed to classical higher-order and bifactor confirmatory factor analyses. Multigroup confirmatory factor analysis facilitated measurement invariance testing. This study assessed the predictive validity of the organisational learning capability subscales using hierarchical regression analysis.

This study replicated the second-order organisational learning capability model with four subscales. Bifactor modelling confirmed the multidimensionality of the organisational learning capability. The organisational learning capability was invariant between gender groups. The organisational learning capability subscales accounted for a significant variance in innovative work behaviour.

The organisational learning capability exhibits robust properties, making it a plausible option for monitoring the quality of organisational learning. Organisations must appreciate the quality of this dynamic capability and leverage it to generate new sources of value.

This study fills a critical gap in organisational learning-related capabilities in sub-Saharan African contexts, providing a base to influence innovation-related trajectories positively.

This study aims to test the relationship between employee exit and knowledge retention. The study also tests the moderating role of organizational structure on the relationship between employee exit and knowledge retention.

A purposive sample of 310 in India was used. The hypotheses were tested using the exploratory factor analysis (EFA), structural equation modeling and moderating analysis using SmartPLS.

The results showed that employee exit positively affects knowledge retention. Moreover, the organizational structure does not moderate the relationship between employee exit and knowledge retention. Two factors were identified through the EFA, of which knowledge-based systems were found to be the most important, followed by management support.

The study attempts to test the relationship between employee exit and knowledge retention and also develops and validates the multidimensional measure of knowledge retention.

This paper aims to examine the relationship between organizational learning (OL) and technology through the lens of strategic factors and to ascertain future research directions.

The systematic literature review method was applied in three stages to the 76 articles obtained from Scopus, Web of Science, Google Scholar and EBSCO databases.

This research revealed the evolution of the role of OL in innovation, performance, knowledge management and technological adoption and showcases a detailed conceptual model relating technology outcomes (technological innovation and capabilities) to OL outcomes (technology absorptive capacity, technological proactivity, as well as information technology [IT] and organization process alignment).

This review includes articles mainly in English and excludes conference proceedings.

This research attempts to guide managers and policymakers to foster an organizational culture conducive to technological adoption and OL. It helps organizations develop strategies for new product development, including strategic alliances and strategic leadership.

This review formalizes the linkages between technological absorptive capacity, technological proactivity and IT with technological innovation and capabilities. It identifies research gaps and elucidates future research directions.

The purpose of this paper is to examine the contribution of big data in the transforming process of an IT firm to a learning organization.

The authors adopted a qualitative research approach to define and interpret the ideas and experiences of the IT firms’ employees and to present them to the readers directly. For this purpose, they followed a single-case study design. They researched on a small and medium enterprise operating in the IT sector in Düzce province, Turkey. This paper used a semi-structured interview and document analysis as data collecting methods. In all, eight interviews were conducted with employees. Brochures and website of the organization were used as data sources for the document analysis.

As a result of in-depth interviews and document analysis, the authors formed five main themes that describe perception of big data and learning organization concepts, methods and practices adopted in transforming process, usage areas of big data in organization and how the sample organization uses big data as a learning organization. The findings of this paper show that the sample organization is a learning IT firm that has used big data in transforming to learning organization and in maintaining the learning culture.

The findings contribute to literature as it is one of the first studies that examine the influence of big data on the transformation process of an IT firm to a learning organization. The findings reveal that IT firms benefit from the solutions of big data while learning. However, as the design of the research is single-case study, the findings may be specific to the sample organization. Future studies are required that examine the subject in different samples and by different research designs.

In literature, research on how IT firms’ managers and employees use big data in organizational learning process is limited. The authors expect that this paper will shed light on future research that examines the effect of big data on the learning process of the organization.