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The paper develops a model for enhancing R&D productivity for Indian public funded laboratories. The paper utilizes the productivity data of five Council of Scientific and Industrial Research (CSIR) laboratories for analysis and to form the constructs of the model.

The weighted average method was employed for analyzing the rankings of survey respondents pertaining to the significant measures enhancing R&D involvement of researchers and significant non-R&D jobs. The authors have proposed a model of productivity. Various individual, organizational and environmental constructs related to the researchers working in the CSIR laboratories have been outlined that can enhance R&D productivity of researchers in Indian R&D laboratories. Partial Least Squares-Structural Equation Modeling (PLS-SEM) was used to find the predictability of the productivity model.

The organizational factors have a crucial role in enhancing the R&D outputs of CSIR laboratories. The R&D productivity of researchers can be improved through implementing the constructs of the proposed model of productivity.

The R&D productivity model can be adapted by the R&D laboratories to enhance researchers’ R&D involvement, increased R&D outputs and achieving self-sustenance in long run.

The R&D laboratories can initiate exercises to explore the most relevant factors and measures to enhance R&D productivity of their researchers. The constructs of the model can function as a guideline to introduce the most preferable research policies in the laboratory for overall mutual growth of laboratory and the researchers.

Hardly any studies have been found that have focused on finding the measures of enhancing R&D involvement of researchers and the influence of significant time-intensive jobs on researchers’ productivity.

Due to the rapid development of artificial intelligence (AI) technology, increasing the use of AI in healthcare is critical, but few studies have explored the extent to which physicians cooperate with AI in their work to achieve productive and innovative performance, which is a key issue in operations management (OM). We conducted empirical research to answer this question.

We developed a conceptual model based on the ambidextrous perspective. To test our model, we collected data from 200 Chinese hospitals. One senior and one junior physician from each hospital participated in this research so that we could get a more comprehensive view. Based on the sample of 400 participants and the conceptual model, we examined whether different types of AI use have distinct impacts on physicians’ productivity and innovation by conducting hierarchical regression and post hoc tests. We also introduced team psychological safety climate (TPSC) and AI technology uncertainty (AITU) as moderators to investigate this topic in further detail.

We found that augmentation AI use is positively related to overall productivity and innovative job performance, while automation AI use is negatively related to these two outcomes. Furthermore, we focused on the impacts of the ambidextrous use of AI on these two outcomes. The results highlight the positive impacts of complementary use on both outcomes and the negative impact of balance on innovative job performance. TPSC enhances the positive impacts of complementary use on productivity, whereas AITU inhibits the negative impacts of automation and balanced use on innovative job performance.

In the age of AI, organizations face greater trade-offs between performance and technology management. This study contributes to the OM literature from the perspectives of operational performance and technology management in three ways. First, it distinguishes among different AI implementations and their diverse impacts on productivity and innovative performance. Second, it identifies the different conditions under which automation AI use and augmentation are superior. Third, it extends the ambidextrous perspective by becoming an early adopter of this approach to explore the implications of different types of AI use in light of contingency factors.

This paper explains the mechanisms underlying the generation of two-way knowledge spillovers through the interaction of subsidiaries with differentiated local responsibilities and domestic firms.

The study is based on firm-level panel data from a census of Colombian manufacturing firms for the period 2003–2012. The estimation procedure involves two stages. In the first one, total factor productivity (TFP) of foreign and domestic firms is estimated. In a second step, we estimate conventional spillovers (from foreign-owned to local firms) and reverse spillovers (from local to foreign-owned firms) separately, using a random effect approach.

This study’s findings reveal that only locally creative subsidiaries enjoy positive and significant two-way knowledge spillover effects. The connectivity of subsidiaries to local and international networks is reinforced by reciprocal relationships among actors that enhance bidirectional knowledge flows, these being favored by the dynamics of clustering effects.

The paper contributes with new empirical evidence about the mechanism explaining how the technological heterogeneity of subsidiaries plays a determinant role in the generation of both knowledge flows from foreign to domestic firms and to the reverse, all integrated into the same framework.

The purpose of this study is to provide new insights into the relationship between fiscal policy and total factor productivity (TFP) while accounting for several economic and econometric issues of the phenomenon like non-stationarity, fiscal feedback effects, persistence in productivity, country heterogeneity and unobserved global shocks and local spillovers affecting heterogeneously the countries in the sample.

The paper is empirical. It builds an Error Correction Model (ECM) specification within a dynamic heterogeneous framework with common correlated effects and models both reverse causality and feedback effects.

The results of this study highlight some new findings relative to the existing related literature. The outcomes suggest some relevant evidence at both the academic and policy levels: (1) the causal effects going from fiscal deficit/surplus to TFP are heterogeneous across countries; (2) the effects depend on the time horizon considered; (3) the long-run dynamics of TFP are positively impacted by improvements in fiscal budget, but only if the austerity measures do not exert slowdowns in aggregate growth.

The main originality of this study is methodological, with possible extensions to related phenomena. Relative to the existing literature, the gains of this study rely on the way econometric techniques, recently proposed in the literature, are adapted to the economic relationship of interest. The endogeneity due to the existence of reverse causality is modelled without implying relevant performance losses of the models. Moreover, this is the first article that questions whether the effects of fiscal budget on productivity depend on the impact of the former on aggregate output growth, thus emphasising the importance of the quality of fiscal adjustments.

By combining relevant literature and using quantitative methodology, this study aims to look into the role of knowledge management (KM) as a mediator between entrepreneurial competencies (ECs) and the sustainable performance (SP) of manufacturing small and medium-sized enterprises (SMEs).

The relationships in the proposed model were examined with data collected from 122 Malaysian SMEs using a cross-sectional technique and a standardized questionnaire and analyzed using structural equation modeling path analysis.

According to the findings, ECs have a positive and considerable impact on KM as well as the SP of manufacturing SMEs. Importantly, KM partially mediates between ECs and the SP of manufacturing SMEs.

This research provides a theoretical contribution through the integration of ECs, KM and SP within a unified framework that takes into account the viewpoints of the resource-based view, the knowledge-based view and the triple bottom line. The results corroborate that ECs directly affect SP and indirectly through KM. Nevertheless, the study’s use of cross-sectional survey data makes it impossible to draw conclusions about causes. This is because ECs, KM and SP all have effects on time that this empirical framework cannot account for.

The findings of this research provide valuable insights for managers and decision-makers in SMEs, who are expected to show an increasing interest in adopting KM processes into their companies through which ECs can be translated into SP.

By applying the proposed framework, SMEs can conduct their activities in ways that do not harm environmental and societal well-being while achieving appropriate economic performance at the same time.

As a result, the findings of this study can add to the literature on ECs and KM, as well as boost the chances of SME sustainability. Directions for future research are also provided in relation to a better understanding of the factors affecting the SP of SMEs.

The construction sector is recognized for subjecting its workers to various psychological pressures and mental stressors. As a result, it is crucial to explore and discover effective strategies to support these workers in managing and enduring these demanding circumstances. Mental toughness is a concept that has been advocated to aid individuals in coping and adapting to pressures and challenges. Therefore, it is imperative to explore strategies critical to developing mental toughness among construction professionals. Thus, the purpose of this study is to identify critical strategies for the development of mental toughness among construction professionals.

A comprehensive literature review was conducted using Google Scholar, Scopus, ScienceDirect and PubMed databases to identify the strategies for the development of mental toughness. These identified strategies were used to develop a structured closed-ended questionnaire to aid in data collection. Of the 317 questionnaires distributed, 207 were collected and used for data analysis. The data were analysed using mean score ranking and one sample t-test.

The study highlighted 12 critical strategies for the development of mental toughness among construction professionals. These include recognizing and rewarding achievements, taking time for self-care, organizing mental training programs, using positive self-talk, embracing a growth mindset, providing social support/developing a strong support network, creating a challenging training environment, engaging in regular physical exercise, fostering a mastery motivational climate, setting clear but challenging goals, practicing mental imagery and practicing reflection on setbacks and failures. The analysis results indicated that all of the strategies, except one (which involves practicing reflection on setbacks and failures), displayed significance. By incorporating these strategies, construction firms and the industry as a whole can empower their workforce to cope and/or overcome the various demands and stressors that work and life places on them.

The study highlights the significance of recognizing and rewarding achievements, fostering a growth mindset and implementing mental training programs to cultivate mental toughness among construction professionals. Moreover, promoting self-care practices and offering social support are essential strategies for enhancing mental resilience in the construction industry. By adopting these evidence-based approaches, construction organizations can create a mentally tough workforce capable of handling the challenges and demands of the industry effectively.

This study contributes significantly to the general body of knowledge in mental health management among employees in the construction industry. It does set the pace for the development of the general well-being of construction professionals in the achievement of mental toughness goals.

Although the significance of technological progress in economic development is well-established in theory and policy, it has remained challenging to agree upon shared priorities for strategies and policies. This paper aims to develop a model of how policymakers can develop effective and easy to communicate strategies for science, technology and economic development.

By integrating insights from economic complexity, competitiveness and foresight literature, a replicable research framework for analysing the opportunities and challenges of technological revolutions for small catching-up countries is developed. The authors highlight key lessons from piloting this framework for informing the strategy and policies for bioeconomy in Estonia towards 2030–2050.

The integration of economic complexity research with traditional foresight methods establishes a solid analytical basis for a data-driven analysis of the opportunities for industrial upgrading. The increase in the importance of regional alliances in the global economy calls for further advancement of the analytical toolbox. Integration of complexity, global value chains and export potential assessment approaches offers valuable direction for further research, as it enables discussion of the opportunities of moving towards more knowledge-intensive economic activities along with the opportunities for winning international market share.

The research merges insights from the economic complexity, competitiveness and foresight literature in a novel way and illustrates the applicability and priority-setting in a real-life setting.

The authors assess the development potential of cowpea beyond grain in local markets in Mali by: (1) identifying trader types and types of cowpea products sold; (2) examining trader roles; (3) estimating gross margins and their determinants; and (4) discussing policy opportunities to further develop the value chain.

The authors analyze data collected through observation and semi-structured questionnaires from 487 sellers in 26 markets, including market, seller, and product characteristics. The authors also calculate gross margins and conduct a regression analysis to identify influential factors.

The authors identify several types of cowpea sellers in local markets, including processor-retailers, retailers of fresh leaves and fodder, and grain retailers, collectors and wholesalers. Women dominate the marketing of processed products and fresh leaves. The marketing of boiled cowpeas offers retailers higher margin rates compared to fritters and pancakes. Grain sellers, who are mostly men, have lower margins but sell larger quantities. Processor-retailers bring more value to the cowpea value chain. Specialization of the seller in cowpea, regional location of the market and day of the market fair all influence gross margins.

Future work should explore consumer preferences for different types of cowpea products.

This study of the cowpea value chain in Mali has revealed the multidimensional character of the cowpea plant, which goes far beyond its grain and highlight the important roles played by women.

The rise of cryptocurrencies and other digital assets has triggered concerns about regulation and security. Governments and regulatory bodies are challenged to create frameworks that protect consumers, combat money laundering and address risks linked to digital assets. Conventional approaches to confiscation and anti-money laundering are deemed insufficient in this evolving landscape. The absence of a central authority and the use of encryption hinder the identification of asset owners and the tracking of illicit activities. Moreover, the international and cross-border nature of digital assets complicates matters, demanding global coordination. The purpose of this study is to highlight that the effective combat of money laundering, legislative action, innovative investigative techniques and public–private partnerships are crucial.

The focal point of this paper is Australia’s approach to law enforcement in the realm of digital assets. It underscores the pivotal role of robust confiscation mechanisms in disrupting criminal networks operating through digital means. The paper firmly asserts that staying ahead of the curve and maintaining an agile stance is paramount. Criminals are quick to embrace emerging technologies, necessitating proactive measures from policymakers and law enforcement agencies.

It is argued that an agile and comprehensive approach is vital in countering money laundering, as criminals adapt to new technologies. Policymakers and law enforcement agencies must remain proactively ahead of these developments to efficiently identify, trace and seize digital assets involved in illicit activities, thereby safeguarding the integrity of the global financial system.

This paper provides a distinctive perspective by examining Australia’s legal anti-money laundering and counterterrorism financing framework, along with its law enforcement strategies within the realm of the digital asset landscape. While there is a plethora of literature on both asset confiscation and digital assets, there is a noticeable absence of exploration into their interplay, especially within the Australian context.

Children's food insecurity experiences are largely unrepresented in academic literature. Parents and caregivers cannot always accurately evaluate their children's attitudes or experiences, and even within the same family unit, children and their parents may report differing views and experiences of family food insecurity. The purpose of this narrative review is to identify studies that include children's voices and their perceptions, understanding, and experience of food insecurity in the household.

This narrative review aimed to address the following questions: (1) “What research studies of household food insecurity include children's voices?” and (2) “Across these studies, how do children perceive, understand and experience food insecurity in the household?”. A database search was conducted in October 2022. After inclusion and exclusion criteria were applied, 16 articles remained for review.

The findings from this review were organised into three themes: Theme 1: Ways children coped with accessing food or money for food; Theme 2: Food-related strategies children used to avoid hunger; and Theme 3: Children attempt to mask food insecurity.

Future research should further explore the long-term consequences of social pressures and informal economic engagement on children's well-being and social development. By addressing the social determinants of food insecurity, this study can strive to create supportive environments that enable all children to access adequate nutrition and thrive.

Overall, the findings of this review demonstrate the significant social pressures that shape children's responses to food insecurity. Results suggest that children's decision-making processes are influenced by the desire to maintain social standing and avoid the negative consequences of being food insecure. As such, this review underscores the need for a comprehensive understanding of the social context in which food insecurity occurs and the impact it has on children's lives. Understanding these dynamics is crucial for developing effective interventions and policies addressing the multifaceted challenges food insecure children face.

This review has highlighted a need for interventions to incorporate trauma-informed strategies to protect children from and respond to the psychologically distressing experiences and impact of living in food insecure households.