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The study proposes to empirically test a model that illustrates how identical elements (IEs), transfer design and trainer performance as training predictors affect trainees' motivation to improve work through learning (MTIWL) and training transfer (TT) in the Indian context.

An online survey was conducted to validate the study model. The quantitative data collected from 360 executives and managers were analyzed using the covariance-based structural equation modeling (CB-SEM) technique.

The study finds that trainees' MTIWL has a full mediation impact between transfer design, trainer performance and TT. However, a partial mediating impact of MTIWL was found between IEs and TT.

This is the first study that empirically explores the mediating mechanism of MTIWL between IEs, transfer design, trainer performance and TT. This study extends the current understanding of trainees' MTIWL that links the cumulative influence of training predictors to TT.

The study aims to enhance the detection and classification of conjunctival eye diseases' severity through the development of ConjunctiveNet, an innovative deep learning framework. This model incorporates advanced preprocessing techniques and utilizes a modified Otsu’s method for improved image segmentation, aiming to improve diagnostic accuracy and efficiency in healthcare settings.

ConjunctiveNet employs a convolutional neural network (CNN) enhanced through transfer learning. The methodology integrates rescaling, normalization, Gaussian blur filtering and contrast-limited adaptive histogram equalization (CLAHE) for preprocessing. The segmentation employs a novel modified Otsu’s method. The framework’s effectiveness is compared against five pretrained CNN architectures including AlexNet, ResNet-50, ResNet-152, VGG-19 and DenseNet-201.

The study finds that ConjunctiveNet significantly outperforms existing models in accuracy for detecting various severity stages of conjunctival eye conditions. The model demonstrated superior performance in classifying four distinct severity stages – initial, moderate, high, severe and a healthy stage – offering a reliable tool for enhancing screening and diagnosis processes in ophthalmology.

ConjunctiveNet represents a significant advancement in the automated diagnosis of eye diseases, particularly conjunctivitis. Its originality lies in the integration of modified Otsu’s method for segmentation and its comprehensive preprocessing approach, which collectively enhance its diagnostic capabilities. This framework offers substantial value to the field by improving the accuracy and efficiency of conjunctival disease severity classification, thus aiding in better healthcare delivery.

The primary objective of this chapter is to synthesize and organize prevailing theoretical perspectives on metacognition into a framework that can enhance understanding of metacognitive phenomena, with the aim of stimulating future research in the field of organizational behavior and human resources management (OBHRM). The author starts with a review of the history of metacognition research, distinguishing it from related theoretical constructs such as cognition, executive function, and self-regulation. Following this, the author outlines five constituent elements of metacognition – metacognitive knowledge, metacognitive experiences, metacognitive monitoring, a dynamic mental model, and metacognitive control – with discussions on their interrelationships and respective functions. Two approaches to metacognition, a process approach and an individual-difference approach, are then presented, summarizing key questions and findings from each. Finally, three broad directions for future research in OBHRM are proposed: examining metacognitive processes, considering mechanisms beyond learning to explain the effects of metacognition, and exploring both domain-specific and general metacognitive knowledge and skills. The implications of these research directions for personnel and human resources management practices are discussed.

Based on organizational learning theory, this study aims to investigate the performance consequences and potential contextual factors of outward foreign direct investment (OFDI) persistence.

A regression analysis was conducted on a sample of 19,950 OFDI events of 1,425 A-share listed Chinese enterprises from 2008 to 2022. The estimator used was ordinary least squares with residual analysis, which allowed us to obtain robust and reliable results.

The results indicated that persistence in both greenfield investments and cross-border M&As had a significant and positive impact on firm performance, and such relationship was positively moderated by organizational absorptive capacity.

This study only tested the economic performance of OFDI persistence rather than innovation and social performance. Exploring the effects of OFDI persistence on other aspects may also add new insights to the persistence literature. Besides absorptive capacity, it might be useful to conduct a more comprehensive consideration of moderators in the future.

This paper contributes to the research on the temporal dimension of internationalization by introducing the concept of OFDI persistence. Additionally, we used the OFDI spell to capture the notion of OFDI persistence, which is an endeavor to overcome the shortcomings of the traditional indicator. Finally, this paper also contributes to the organizational learning perspective by applying it to analyze persistent OFDI operations.

This study aims to examine the underlying process through which learning organization culture positively influences knowledge sharing. It specifically explored the mediating role of social capital, underscoring its critical impact on enhancing both knowledge sharing and fostering learning organization culture.

To test the proposed hypotheses, structural equation modeling (SEM) analysis was conducted with a sample of 231 employees from a manufacturing firm in South Korea.

The results of this study indicate significant direct effects of learning organization culture on social capital. Also, social capital indicates a positive effect on knowledge sharing. Although learning organization culture had no direct effect on knowledge sharing, it indirectly affected learning organization culture and knowledge sharing by mediating social capital.

This study proposes that a learning organization culture will be interconnected with social capital and knowledge sharing. Organizations that can effectively harness the wealth of knowledge unlocked by social capital, and subsequently integrate this knowledge into their activities, are poised for competitive advantage.

First, this study places a special emphasis on the mediating role of social capital between learning organization culture and knowledge sharing. Despite extensive research exploring diverse knowledge-sharing factors (Wang and Noe, 2010), it is plausible that examining social capital as a mediator could offer insights for facilitating knowledge sharing through its structural, relational and cognitive dimensions. Second, while a plethora of literature examines knowledge sharing, this study also seeks to unravel the multifaceted pathways through which the learning organization culture influences knowledge sharing and how these processes could be optimized in organizations.

Introduction: The idea of sustainability has become increasingly popular across many industries. To meet the demands of the present without compromising the capacity of future generations to meet their requirements, sustainable organisations prioritise integrating environmental, social, and economic aspects into their operations.

Purpose: To analyse the inter-relationship between sustainable organisations, high-potential employees (HPEs), and blended learning (BL) effectiveness. Organisations can gain a competitive edge, spur innovation, and contribute to a more sustainable and inclusive future by incorporating sustainability into their operations and offering sustainable workspaces.

Design/methodology/approach: This research approach offers a thorough understanding of the connections between sustainable organisations, HPEs, and workspaces by combining a literature review of 77 research papers, case studies, and surveys.

Findings: The dedication to sustainability draws high-potential workers and environmentally aware customers who favour supporting socially conscientious businesses.

Practical implications: The study provides valuable implications and suggestions for businesses looking to improve their sustainability and recruit top talent. These proposals should include the techniques for integrating sustainability into organisational culture, employee engagement programmes, talent recruiting and retention tactics, and designing environmentally friendly workspaces.

Originality/value: This research approach offers a thorough understanding of the connections between sustainable organisations, HPEs, and workspaces by combining literature reviews, case studies, surveys, interviews, and data analysis.

Although the literature on the effectiveness of team interventions is constantly expanding, there has been a strong focus on the process mechanisms that could explain their success, often overlooking the contextual aspects in which these interventions are carried out. Based on the Context-Mechanism-Outcome framework, this study aims to investigate the influence of contextual factors on the effectiveness of digital team coaching interventions that use social network visualisation to enhance team coordination and reduce interpersonal conflicts.

Using a multi-wave, longitudinal design, this research analysed 38 work teams from three organisations over three-time points. Data collection focused on manager and peer support, the mechanisms of training transfer and action plan implementation and the outcomes of these interventions. Surveys were administered in three organisations, involving 317 respondents across different phases. The intervention spanned six to eight months, incorporating three to four structured online group sessions. Each session involved a multi-stage process, concluding with a result-oriented action plan about work-related goals. The intervention included social network visualisation, discussions, coaching and continuous refinement of action plans.

The analysis highlights how manager support significantly correlates with team coordination and performance, mainly when teams are less engaged in implementing action plans. Peer support did not show a mediating effect on training transfer or outcomes but had direct positive impacts on team coordination and performance.

Teams actively implementing action plans may require less immediate managerial support for effective coordination and high performance. The manager’s role becomes crucial, particularly in the early stages of the intervention or in those teams where online coordination alone may not be adequate for action plan implementation. Peer support for training transfer could enhance the effectiveness of the intervention in achieving desired team outcomes; therefore, cultivating a supportive peer environment is crucial for the success of such interventions. Monitoring and assessing team dynamics are vital to maximise the benefits of digital team coaching interventions.

This study stands out for its innovative exploration of the interplay between managerial and peer support in the context of digital team coaching, using social network visualisation as a novel approach to enhancing team dynamics.

We examined the impact of a leadership support training intervention implemented prior to the coronavirus (COVID-19) pandemic on support behaviors specific to COVID-19 during the pandemic. Primary intervention targets (i.e. family-supportive supervisor behaviors and sleep leadership behaviors) were explored as mediators between the intervention and supportive COVID-19 leadership behaviors.

A cluster randomized controlled trial intervention was implemented with service members and their supervisors in the Army and Air National Guard throughout 2017–2019. Follow-up survey data were collected after the intervention, including during the COVID-19 pandemic in 2020. Direct and indirect intervention effects were tested.

A pre-COVID intervention targeting leader support for family and sleep health had a direct effect on leader support specific to the COVID-19 pandemic. Additionally, sleep leadership, but not family-supportive supervisor behaviors, mediated the intervention effects on supportive COVID-19 leadership. These findings suggest that certain leadership training interventions can transfer across knowledge domains and time.

Findings from this study demonstrate that training leaders on support behaviors improves their ability to support employees during the COVID-19 pandemic and may translate to crisis leadership in other contexts.

We examined the long-term effects of an intervention that was implemented approximately 1–2 years prior to the COVID-19 pandemic on leadership support behaviors specific to the pandemic. Our findings contribute to the leadership, training, and organizational intervention literatures, and have implications for how leaders can support employees during crises.

The study directs attention to the psychological conditions experienced and knowledge management practices leveraged by faculty in higher education institutes (HEIs) to cope with the shift to emergency remote teaching caused by the COVID-19 pandemic. By focusing attention on faculty experiences during this transition, this study aims to examine an under-investigated effect of the pandemic in the Indian context.

Interpretative phenomenological analysis is used to analyze the data gathered in two waves through 40 in-depth interviews with 20 faculty members based in India over a year. The data were analyzed deductively using Kahn’s framework of engagement and robust coding protocols.

Eight subthemes across three psychological conditions (meaningfulness, availability and safety) were developed to discourse faculty experiences and challenges with emergency remote teaching related to their learning, identity, leveraged resources and support received from their employing educational institutes. The findings also present the coping strategies and knowledge management-related practices that the faculty used to adjust to each discussed challenge.

The study uses a longitudinal design and phenomenology as the analytical method, which offers a significant methodological contribution to the extant literature. Further, the study’s use of Kahn’s model to examine the faculty members’ transitions to emergency remote teaching in India offers novel insights into the COVID-19 pandemic’s effect on educational institutes in an under-investigated context.

Organizations increasingly use knowledge arbitrage to stimulate innovation and achieve competitive advantage. However, in knowledge management its use in startups is yet unexplored. This study aims to examine the utilization of knowledge arbitrage by startups, specifically during COVID-19.

This study employed an open-ended essay methodology to explore the drivers and barriers that startups face in utilizing knowledge arbitrage. We collected data from 40 participants to understand the role of knowledge arbitrage in startups’ knowledge management practices.

This study’s findings highlight the significance of knowledge arbitrage for startups. The benefits identified include organizational benefits such as building networks, innovating new products and achieving competitive advantage and financial benefits such as cost reduction and sales growth. The study also identifies several technological and organizational drivers and barriers that startups confront during knowledge arbitrage.

This study contributes to the existing literature on knowledge management by extending our understanding of knowledge arbitrage’s role in startups. Additionally, it sheds light on the importance of knowledge arbitrage for startups and the challenges they face, particularly in a disrupted environment reared by COVID-19. The study provides insights for the scholars and practitioners interested in effective knowledge management in startups.