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The significance of organizational culture (OC) pervades all workplaces, extending even to health systems. While numerous studies have examined the perceptions of OC among nurses and physicians, there is a notable gap in understanding the perspectives of non-patient-facing health system employees. This study aims to fill this void by investigating the perceptions and drivers of OC among non-patient-facing personnel within health systems.

This study employed a mixed-methods approach, starting with a 31-question survey disseminated to health system employees through trade organizations to capture diverse perspectives on OC. Subsequently, employees were invited to participate in semi-structured interviews. A total of 23 interviews were conducted to explore the underlying factors shaping employees’ perceptions of OC.

A total of 67 surveys were completed, with 61 used in the analysis. The results revealed a predominantly positive outlook, highlighting the significance of supportive leadership and involvement in decision-making processes. The qualitative analysis identified four key themes: effective communication and transparency, coordinated teamwork, supportive leadership and the impact of external factors like the coronavirus disease 2019 (COVID-19) pandemic.

Effective leadership should prioritize open communication, employee autonomy and involvement in decision-making. These strategies foster a culture of trust, accountability and engagement, enhancing employee morale and job satisfaction while promoting a collaborative and innovative work environment conducive to long-term success and growth.

This research examines the often-overlooked perspectives of non-patient-facing health system staff, providing valuable insights and strategies for leaders to improve OC and create a more positive, inclusive and supportive work environment.

This study has applied the model by Baldwin and Ford (1988) to empirically examine the influence of select trainee characteristics (i.e. instrumentality and motivation to transfer) and transfer design as a training design factor on the transfer of training to work. It also investigates the possible mediating role of the motivation to transfer and the moderating role of social support at work (comprising supervisor and peer support) in the transfer mechanism.

A self-reported questionnaire was used to survey employees working in a power major in India. In the first stage, we selected one geographical region of the organization using judgmental sampling. In the next stage, executives and non-executives from all five coal-based power stations in that region were selected using systematic sampling. Responses from 411 such employees were analyzed using PROCESS Macro in SPSS. A mediation analysis was done using Model 4, while the moderated mediation hypotheses were tested using Model 7 in PROCESS Macro.

Instrumentality and transfer design were found to impact training transfer through motivation to transfer. While supervisor support moderated the mediational impact of both predictors through transfer motivation, peer support moderated only the impact of instrumentality on transfer through transfer motivation.

This is the first empirical work that has integrated important predictors at trainee, training design, and work environment levels based on the perspective of factors an organization can control. Besides, establishing supervisor and peer support as contextual factors adds to the celebrated model by Baldwin and Ford.

This study aims to explore the dynamic interplay of key resources (i.e. research and development (R&D), advertising and exports) in affecting the performance of USA manufacturing firms. Specifically, the authors examine the dynamic impact of joint resources and predict differential effect scales contingent on firm capabilities.

This study presents a combined multiple regression analysis (MRA)-multilayer perceptron (MLP) neural network modeling and investigates the complex interlinkage of capabilities, resources and performance. As an innovative approach, the MRA-MLP model investigates the effect of capabilities under the combinatory deployment of joint resources.

This study finds that the impact of joint resources and synergistic rents is not uniform but rather distinctive according to the combinatory conditions and that the pattern is further shaped by firm capabilities. Accordingly, besides signifying the contingent aspect of capabilities across a range of resource combinations, the result also shows that managerial sophistication in adaptive resource control is more than a managerial ethos.

The proposed analytic process provides scientific decision support tools with control mechanisms with respect to deploying multiple resources and setting actionable goals, thereby presenting pragmatic benchmarking options to industry managers.

Using the theoretical underpinnings of the resource-based view (RBV) and resource orchestration, this study advances knowledge about the complex interaction of key resources by presenting a salient analytic process. The empirical design, which portrays holistic interaction patterns, adds to the uniqueness of this study of the complex interlinkages between capabilities, resources and shareholder value.

This study investigates the implications of trade, institutional and geographical variables on economic growth. The proposed analytical framework extends the seminal works of Frankel and Romer (1999), Rodrik et al. (2004), Silva and Tenreyro (2006) and Squalli and Wilson (2011).

Applying a comprehensive panel database that includes 133 countries during the period 1996–2014. Our estimators encompass three dimensions (fixed effects) and use the Pseudo Poisson Maximum Likelihood (PPML) approach to create an instrument for trade. This approach effectively addresses the issues associated with endogenous regressors.

Findings from this study demonstrate a significant correlation between economic growth and the variables of trade, institutions and geography, with trade surfacing as the most influential factor. Notably, the impact of these factors appears to be diminished in low-income countries, especially in the parameters that reflect the role of institutions on per capita income.

The originality of the study is underscored by four key aspects: the employment of a unique econometric approach, the use of a three-dimensional panel database with fixed effect estimators and PPML, the inclusion of a novel measure of trade openness diverging from the conventional literature in the bilateral trade equation, and finally, the implementation of robustness tests probing the sensitivity of per capita income to institutions, trade and geography.

Transport is responsible for around a quarter of global emissions. It is 91% fossil fuel dependent for energy, with emissions remaining stubbornly high, increasing in the EU since 1990 and falling since then by just 15% in the UK. The UK’s National Infrastructure Commission (NIC), in producing its second assessment, a major strategic overview for the next 30 years, emphasises a near universal dependency on electricity and hydrogen to decarbonise transport emissions. Locally distributed energy solutions are not considered part of their approach and neither do they consider where the products proposed for mass adoption – electric vehicles (EVs) are to be manufactured. Embodied carbon emissions are not taken into account, with emissions analysis focused on zero tailpipe emissions. Green gases which can be used in combustion engines and hybrids, harnessing existing supply chains and maintenance service provision, are also not seen as part of the solution, even during transition. Manufacturers are concerned that legislation and policy approaches, such as the Zero Emissions Vehicle Mandate, will lead to off-shoring of production. Zero Emissions Vehicles do not consider tyre emissions, which some research has shown to be many times higher than tailpipe emissions with devastating impacts on ecosystems. The chapter proposes the need for a greater holistic and circular approach to be taken to embodied carbon, mineral and resource utilisation together with biodiversity and planetary impacts.

This chapter dives deeper into how the circular economy is important for the tourism industry in the United Arab Emirates (UAE). In a region known for its remarkable growth and innovative endeavors, this chapter meticulously investigates how the principles of the circular economy hold the potential to not only shape the trajectory of sustainable development but also to become a catalyst for heightened economic growth and an embodiment of environmental stewardship within the UAE's dynamic tourism sector. It begins by explaining the multifaceted concept of the circular economy and its compelling relevance to the diverse realm of tourism. It also emphasizes the role of community involvement in making these principles work. The chapter showcases successful case studies in UAE's tourism sector, from eco-friendly hotels to innovative food services and community-based tourism. Finally, it ends with recommendations for stakeholders to work together for sustainable tourism development. As the chapter draws toward a conclusion, it ends with a collection of recommendations that underscore the essence of collaborative engagement among stakeholders – a driving force that is poised to propel the narrative of sustainable tourism development forward with unwavering resolve and unwavering impact.

How do citizens who live in municipalities that are in ‘news deserts’ find out about what is happening where they live? Developed in the United States and investigated in Brazil and the United Kingdom, the concept of ‘news deserts’ has aroused the curiosity of scholars and agents involved in the development of public policies in Europe, with the mapping of such areas being the target of a European Commission Call for Proposals to support local media in news-poor communities. The phenomenon of news deserts results from a systemic and wide-ranging crisis that journalism as a whole is facing, with profound effects on the local media. A ‘news desert’ is defined as a community without a local newspaper and also a community whose inhabitants face significantly reduced access to news that feeds the foundation of local democracy. One of the first mappings carried out in Europe, the News Deserts Europe 2022: Portugal Report, revealed that 25.3% of Portugal's municipalities did not have media outlets based in the municipality about which they produced contents, a phenomenon linked to more isolated communities with lower economic activity and smaller. But people somehow obtain information in these news deserts. Studies show that much of the local information in those regions is accessed through social media, such as Facebook pages and groups, which can be sources of disinformation and manipulation. When there is no media covering local affairs, communities are left without a point of reference.

This study aims to explore whether organization modularity affects the operation performance of manufacturing firms through the mediator of digital embeddedness and the moderator of organization compatibility.

Hierarchical regression, mediation effect test macro and bootstrap were conducted to empirically analyze two waves of longitudinal survey data from 284 Chinese manufacturing firms.

Digital embeddedness (digital technology, digital infrastructure and digital culture) mediates the relationship between organization modularity and operation performance. In addition, organization compatibility positively moderates the relationship between the three types of digital embeddedness and operation performance. Under a high organization compatibility degree, digital embeddedness has a positive impact on operational performance, but under a low organization compatibility degree, its impact is negative.

Organizational modularity is an important measure for manufacturers to gain competitive advantages, especially in the industrial transformation driven by the digital economy. Manufacturers need to realize modularity immediately and consider the compatibility of digitalization so that they can embed digital technology more flexibly and adaptively and gain operational advantages.

This study is very relevant for industrial manufacturers, as they urgently need to know how to gain competitive advantages through organizational change in digital transformation. This study provides many reliable theoretical guidelines. Specifically, this study tells manufacturers how to better realize digital embedding and performance through modularity and how to improve the compatibility between digitalization and organization.

The authors empirically examined the theoretically recognized industrial linkages between manufacturing and services from the trade perspective. In particular, they confirmed the trade effect of manufacturing on services, given that global value chain fragmentation pervades and splits manufacturing and services segments separately in developed and developing countries.

Based on observations of 47 countries with manufacturing and service trade data from 1990 to 2020 and with gravity model specification, the authors primarily used the Poisson pseudo-maximum likelihood (PPML) estimation with multiple levels of fixed effects. Considering that many zero values are included in the dependent variable and potential endogeneity, other methods such as Tobit regression, Heckman estimation and two-stage least squares estimation (2SLS) are used. Subsample estimation also supplemented the empirical research.

The results showed that manufacturing trade is a stepping-stone rather than an obstacle to service trade. This finding exhibited significant robustness under different model specifications, instrumental variable estimation and subsample checks. Moreover, in contrast to the north–north country ties, manufacturing trade between northern and southern countries has played a prominent stepping-stone role; meanwhile, manufacturing trade among core–peripheral countries has a considerably more significant impact than the outcomes of core–core and peripheral–peripheral countries.

The authors provided direct clarification and revealed that trade in manufacturing remains the demand basis for service trade. As trade in manufacturing and services are typical phenomena of transnational production linkages, the authors suggested exploring the underlying role of global value chain (GVC) fragmentation and the offset and even barrier effect of biased institutional arrangements on GVC fragmentation.