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Crises precipitate strong fiscal responses by government – sometimes toward austerity, other times toward renewed social spending. This variation in approaches to crisis handling has the potential to highlight factors that drive public opinion toward government interventions that may be quite different from those in non-crisis times. This study aims to discuss the aforementioned issues.

This article brings together theories of government policymaking in crises, policy responsiveness and economic voting to assess how personal financial (egocentric) concerns and/or national financial (sociotropic) concerns may influence opinions toward government handling of direct financial supports in a crisis and, more generally, opinions toward social policy interventions. The authors assess this dynamic in the Canadian context using original national survey data collected in the initial stage of the pandemic-based crisis in June and July of 2020 (N = 1290).

The authors find strong evidence in support of sociotropic concerns shaping government approval and support for greater social policy interventions, but limited evidence to support egocentric concerns, suggesting that social policy attitudes may be more insulated from personal factors than anticipated.

The authors’ findings suggest that crises may prompt enhanced support for interventionist social policy measures that may lack broad-based support in non-crisis times.

The authors’ findings speak to the ongoing discussion around the possibility for crises to function as policy windows for enhanced social spending and for entrenching targeted financial supports for vulnerable individuals.

This study aims to analyze the individual and joint effects of institutional support by government and nongovernment institutions on early internationalizing firms’ (EIFs) performance. It also investigated the moderating impact of firm age and size on the institutional support-firms’ export performance relationships.

Data were collected from 705 EIFs in the apparel industry of Bangladesh and analyzed with hierarchical regression.

The positive influence of institutional support on exporting firms’ financial performance is stronger for the joint effect of government and nongovernment assistance than the individual impact. Firms’ size positively moderates the impact of individual government and nongovernment assistance, while age positively moderates their resource-bundling effect.

The findings suggest the necessity of integrating resources from diverse but complementary sources of institutional support for superior export performance. The findings also show the presence of the liability of smallness and liability of newness in the standalone and joint influence of institutional support, respectively.

Firms need to bundle resources obtained from the government (unrequited) and nongovernment (reciprocal) institutional support to overcome the liability of smallness they might encounter while availing of support from only one source.

Distinguishing between government and nongovernment institutional support, this paper sheds light on exporting firms’ resource-bundling mechanism for these two sources of support in the backdrop of an emerging economy. It also offers fresh insights into the critical role of the liabilities of newness and smallness in early internationalization, especially with regard to the home-country institutional environment.

This study uncovers how government interventions, in terms of stringency and support, shape coronavirus disease 2019's (COVID-19) detrimental impact on organizations' performance. Specifically, this paper studies whether stringency and support play complementary or substitutive roles in lowering COVID-19's impact on organizations' performance.

The authors gathered primary data from USA manufacturing companies and combined this with secondary data from the Oxford COVID-19 Government Response Tracker (OxCGRT) to test the proposed model with structural equation modeling (SEM).

The results show that the stringency approach increases the detrimental impact on both operational and financial performance, while economic support (to households) and fiscal spending (to organizations) work differently on lowering the impacts of COVID-19. Further, these combinative effects only influence the firm's operational performance, albeit in opposite directions.

This study advances the knowledge of government interventions by examining stringency and support's direct and interaction effects on firm performance as a result of the COVID-19 pandemic. The findings contribute to the literature by uncovering the unique roles of both supportive policies, thus differentiating economic support (to individuals/households) from fiscal spending (to organizations) and providing important academic, managerial and policy insights into how government should best initiate and blend stringency and support policies during the COVID-19 pandemic.

This study aims to investigate the impact of government support on the coupling coordination degree of innovation chain and capital chain in integrated circuit (IC) enterprises and to explore the mechanism for considering talent in the influence path.

This paper uses coupling coordination degree model to estimate the coupling of two chains, and applies dynamic panel system generalized method of moments (system-GMM) to analyze the impact of government support on coupling of two chains and conducts dynamic panel threshold regression to explore the threshold effect of talent in the influence of government support on coupling coordination degree.

Serious imbalance in the coupling of two chains is a major obstacle in IC enterprises. Government support significantly reduces the coupling coordination degree. The talent in IC enterprises has a significant threshold effect. When the number of talent is lower than the threshold value, government support has a negative impact. Once the number of talent reaches a certain level, government support can significantly enhance the coupling of two chains. Compared with state-owned enterprises, government support has a greater negative impact on the coupling of the two chains in non-state-owned enterprises. The former needs more talent to take advantage of government support.

This paper applies the concept of coupling into enterprises and deeply studies the coupling coordination degree of two chains. The influence mechanism of government support and talent on the coupling of two chains is explored, which reveals that government support cannot achieve the expected incentive effect without the support of talent. We also discuss the heterogeneous effect of government support and of talent in enterprises of different ownership types.

Digital freight platform is an innovation practice of green concept, sharing economy and crowdsourcing concept in China's logistics field. It has many advantages, such as improving the utilization rate of logistics resources, reducing carbon emissions, etc., so it has been highly regarded by the government. This paper systematically studies what types of government supports are available and explores the influence mechanism of these government supports on users' participation intention in digital freight platform.

In total 191 valid questionnaires were collected through a questionnaire survey in China. Then SmartPLS is used to analyze the collected data.

The empirical results show that user subsidies, standardization of tax administration and financial resource support have a significant impact on actual carriers' participation intention in digital freight platform. The impact of standardization of tax administration on actual carriers' participation intention is the most substantial, followed by that of financial resource support, while the user subsidies exert a minimum impact. Moreover, the impact of standardization of tax administration and user subsidies on legitimacy perception is related to enterprise scale.

This study enriches the field of crowdsourcing logistics research and provides referential suggestions for the formulation and implementation of government supports to promote the sustainable development of green crowdsourcing logistics platforms represented by digital freight platform. In addition, in the growth process of new models with strong social benefits, the government can promote its development through a variety of policy tools to improve the accuracy of government policies.

The purpose of this paper is to investigate the government roles in cloud computing assimilation along two dimensions: government regulation and government support.

A research model was developed to depict the dual roles of government regulation and government support in cloud computing assimilation as well as the mediating effect of top management support (TMS). Using survey data collected from 376 Chinese firms that have already adopted cloud services, the authors tested the research model.

The impacts of both government regulation and government support on cloud computing assimilation are partially mediated by TMS. Government support exerts stronger impacts on TMS than government regulation.

This study extends the current information systems literature by highlighting the specific mechanisms through which governments influence firms’ assimilation of cloud computing.

Governments in developing countries could actively allocate funds or enact policies to effectively encourage cloud computing assimilation.

This study would complement previous findings about government regulation, and develop a more holistic understanding about the dual roles of governments in information technology innovation assimilation.

This paper aims to examine the effect of government support on the innovation performance of firms in the Chinese context.

We divided government support into vertical support and horizontal support, and adopted an empirical research approach in this study. We collected the data of 343 enterprises in China that had been identified as innovative enterprises, including their characteristic data, government support data and patent data. Negative binomial regression was used to quantitatively examine the relationship between government support and the innovation performance of firms.

Both vertical support in the form of direct research and development (R&D) subsidies and horizontal support in the form of regional innovation policy positively influence the innovation performance of firms. In addition, direct R&D subsidies are more likely to experience the enhanced benefits of carrying out tax credit policy on the innovation performance of firms.

This study contributed to the innovation literature by distinguishing two types of government support, namely, vertical support and horizontal support, and assessing the effects of government support on firm innovation in the Chinese context.

The importance of government policies in the formation and development of strategic networks has been widely recognized. Many countries have designed specific government policies with the aim to support network creation. However, the influence of these different government policies on the development process of strategic networks has never been considered so far. Therefore, the purpose of this paper is to investigate how different government policies influence the development process of strategic networks.

This research uses a multiple case study design with a descriptive and processual case study approach. The study compares two strategic networks where different government policies have been implemented: on the one hand, policies aimed to promote networking through the support of trade association and the design of specific laws; on the other hand, public policies providing financial support for network development.

The comparative analysis of two networks shows how the different activities along the development process are carried out based on the different support received, and it highlights that financing network creation and exerting a control function is not enough to stimulate network development and sustain its success.

Considering the limited generalizability of this exploratory study because of the analysis of two cases, future studies with a larger number of strategic networks can expand the understanding of the effects of different types of public support for network development.

The results contribute to make entrepreneurs and public bodies aware of the importance of a managerial support to strategic networks’ development. The authors provide a series of evidences to academics and practitioners regarding how the development process of strategic networks may be shaped depending on the different government support they receive.

The value of this contribution lies in demonstrating the influence of different government policies in the development process of strategic networks, which has not been investigated yet, despite the great attention governments are devoting to networking.

The COVID-19 pandemic has disrupted various systems that drove people to adapt to certain technologies, such as electronic government services, for daily survival and to meet social distancing requirements. Therefore, this study aims to determine the antecedents of e-government use based on prospect theory and modified unified theory of acceptance use of technology (UTAUT) during a pandemic.

Convenience sampling of 368 respondents from Vietnam was conducted, and questionnaires were distributed personally or by email. The data were analyzed following a two-stage structural equation modeling (SEM) using SPSS v23 and AMOS v23. The validity and reliability of the instrument were tested and ensured.

Results show that perceived severity drives government support and social influence while perceived security drives government support, social influence and trust. Social influence enhances government support and trust, which both drives e-government use. Mediation analysis shows that government support mediates perceived the influence of perceived severity on e-government use.

The integration of prospect theory and UTAUT brings into light what will drive the adoption of e-government in the context of Vietnam. Supporting mechanisms, such as security measures, trust-building, government support and social influence, will drive citizens to adapt to technologies provided by the government but would also rely on the perceived risks and benefits.

This study integrates prospect theory and a modified version of UTAUT to explain the drivers of e-government use. The results reveal that under uncertainties, government support is critical in driving the use of e-government for people to manage the daily lives for survival.

This study aims to investigate the motivations for the adoption of Industry 4.0 technologies among manufacturing firms in developing economies. Specifically, the effects of relative advantage of the technologies, competitive pressure, and government support on the adoption are explored. Moreover, the mediating role of top management support between environmental factors (government support and competitive pressure) and the adoption of Industry 4.0 technologies is examined.

A research model is developed based on the technology-organization-environment (TOE) framework strengthened by institutional theory. Structural equation modeling (SEM) approach is employed to evaluate the model using data obtained from 215 manufacturing firms through a cross-industry survey. Additionally, a post-hoc analysis is conducted using cluster analysis and ANOVA.

The results show that competitive pressure and government support significantly promote top management support, which in turn contributes to the adoption of Industry 4.0 technologies. Relative advantage of the technologies is not significantly related to the adoption.

This study does not explore the relationship between technology type and the specific needs of manufacturing firms. Future researchers can conduct a more comprehensive analysis by examining how different technology types align with the unique needs of individual companies.

The findings of this study have implications for both policymakers and managers. Policymakers can leverage these insights to understand the underlying motivations behind manufacturing firms' adoption of Industry 4.0 technologies and develop promoting policies. In turn, managers should keep an eye on government policies and utilize government support to facilitate technology adoption.

This study uncovers the underlying motivations—government support and competitive pressure—for the adoption of Industry 4.0 technologies among manufacturing firms in developing economies. Meanwhile, it complements previous research by showing the mediating role of top management support between environmental factors (government support and competitive pressure) and the adoption of Industry 4.0 technologies.