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The use of digital technology is crucial for building resilience and shaping competitive advantages in project-based organizations (PBOs). The purpose of this study is to explore the impact of digital elements on organizational resilience and resilience enhancement paths in PBOs represented by the construction industry in the context of digitization.

This study uses multivalue-set qualitative comparative analysis (mvQCA). First, we collect digitization keywords from the annual reports of PBOs in the construction industry and classify them as process digitization, digital technology application and production intelligence while also considering word frequency statistics as antecedent conditions. Second, through a literature review and the use of the data collected, we define organizational resilience as the ability of organizations to defend, resist, recover and develop. Then, we use the mvQCA approach to examine how digital antecedent variables collectively advance PBO resilience.

By collecting data on 79 listed Chinese construction companies and utilizing mvQCA, we identify five combinations of conditions that produce high levels of organizational resilience, and the solution coverage is 1. These methods are (1) digital technology application-oriented, (2) process digitalization-oriented, (3) digitized multifactor coupling, (4) process digitization and digital technology application-driven and (5) process digitalization and production intelligence-driven.

These findings have important theoretical and practical implications for revealing the digital-driven path to high levels of PBO resilience. In theory, this study enriches the research on organizational resilience and expands the application scope of organizational resilience theory and the QCA method. Furthermore, this study provides new ways and ideas for PBOs to effectively integrate and utilize internal and external digital resources to increase their levels of organizational resilience.

This study aims to propose a research framework grounded in the technology acceptance model (TAM) to assess the new service experiences in the medical industry through examining the intention to use online-to-offline (O2O) medical platforms. It focuses on the connections between immediacy of connection, context-based affordability, reliability and perceived convenience and perceived usefulness. This study also looks at how these determinants affect users’ intentions to use O2O medical platforms, with a particular emphasis on the moderating effect of customer online reviews.

This study was a quantitative research endeavour grounded in the TAM model that analysed usage intention of O2O medical platforms. Conducted in Sarawak, within the Borneo region, a total of 251 rows of data were collected by questionnaire and underwent initial analysis using SPSS, followed by a more in-depth two-stage partial least squares structural equation model analysis conducted with SmartPLS4.

According to this study’s findings, perceived usefulness and perceived convenience are significantly impacted by the proposed predictors – immediacy of connection, context-based affordability and reliability. Furthermore, intention to use O2O medical platforms was discovered to have a positive and significant impact from perceived usefulness and perceived convenience. It is noteworthy that the association among perceived convenience and perceived usefulness – which leads to usage intention of O2O medical platforms – did not show the moderating effect of customer online reviews.

The findings suggested that context-based affordability, immediacy of connection and reliability need to be focused on by the information and communication technology developers, policymakers and medical professionals, as these variables can influence perceived convenience and usefulness, which will further impact the intention to use O2O medical platforms.

The formulated research framework holds significance in comprehending the usage intention of O2O medical platforms among consumers in Sarawak. O2O medical platforms have experienced global growth; however, limited studies were found in the Malaysian context. Hence, the objective of this study is to examine the intention to use O2O medical platforms in a relatively understudied area, specifically in Sarawak, an island located in Borneo, Malaysia.

The purpose of this study is to provide evidence that government financing behavior has an impact on the outward foreign direct investment (OFDI) of enterprises.

This paper uses debt data from local government financing vehicles to measure the local government debt in China. Based on the data of listed manufacturing firms in China from 2010 to 2018, this paper uses the Tobit model to verify the impact of local government debt and firms' OFDI.

The results indicate that local government debt impedes firms' OFDI, with a more pronounced impact on state-owned enterprises (SOEs) and those with higher political connections. Furthermore, our study suggests that the dampening effect of local governments on firms' OFDI is mitigated in regions following the implementation of the Local Government Debt Management Act.

This study verifies the negative impact of local government debt activity on firms' overseas investments. This is not due to debt crowding out, but rather to the fact that local governments prefer to keep resources locally to stimulate the economy. This paper offers novel insights into the theoretical mechanisms by which local government behavior influences firms' investment activities in emerging markets.

This study aims to investigate the role of interfirm communication on the complementary effect between corporate political action (CPA) and research and development (R&D) investments under transaction costs.

A quasi-experiment study design was used, combining business game simulation and a public goods experiment with communication as a controlled variable. A fixed-effect regression analysis was performed on panel data collected from 72 students.

The findings indicate that collective CPA is positively and significantly associated with R&D investments, particularly when interfirm communication is present. Conversely, for non-communicating firms, the effect is limited to the relationship between individual CPA and R&D investment.

Despite advancing the research on political ties and innovation, the study acknowledges limitations related to framing effects and institutional variability.

The complementary effects indicate that institutional arrangements (i.e. business associations) may foster interfirm communication and cooperation in CPA efforts, mitigating opportunistic behaviours and legitimising CPA strategy towards innovation.

This study contributes to understanding how firms’ political and R&D decisions can positively impact innovation, despite the challenges of ex post transaction costs.

The positive effect of communication on political action and cooperation on firms’ innovation, even in weak institutional environments, is highlighted. An innovative methodological approach combining business games and economic experiments was used to examine participants’ decisions under transaction costs.

How does entrepreneurship flourish amidst persistent resource scarcity, market imperfections, underdeveloped infrastructure and institutional voids? In recent years, bricolage has emerged in the entrepreneurship literature as an effective form of resource mobilization in resource-constrained environments and crisis situations. The purpose of this study is to investigate the role of bricolage in new venture creation by examining the use of bricolage at each stage of the entrepreneurial process of opportunity discovery, development and exploitation.

The author conducted a qualitative analysis of 10 new business ventures established in the Philippines during the COVID-19 pandemic.

The author found a prevalence of bricolage at every stage of the entrepreneurial process in all cases, showing that bricolage was embedded in the behavior and decision-making of entrepreneurs throughout the process.

The finding have implications for policymakers aiming to support entrepreneurship in emerging economies.

This paper contributes to the literature by providing empirical evidence of bricolage behavior identified at every step of the entrepreneurial process in a specific emerging economy context.

The purpose of this study is to systematically investigate the novel phenomenon of rail corrugation on small radius curves with rail joints in mountainous city metros, characterized by the coexistence of short and long wavelengths (30–40 mm and 150–200 mm) on the low rail.

The finite element model of the wheel-rail system in the section with rail joint is constructed based on field surveys. The friction-coupled vibration characteristics of the wheel-rail system are studied from the perspective of friction self-excited vibration of the wheel-rail system and feedback vibration of the rail irregularity.

The rail corrugation with short wavelength is primarily induced by the friction self-excited vibration of wheel-rail system. In contrast, the rail corrugation with long wavelength is predominantly caused by the feedback vibration of rail joint irregularity. Additionally, the feedback vibration of corrugated irregularity accelerates the progression of corrugation depth without triggering the emergence of rail corrugation with new wavelength.

The research advances the understanding of the vibration inducement behind rail corrugation in mountainous city metros.

This study aims to examine companies’ socially responsible behaviors by studying the relationship between different proxies of corporate environmental responsibility (CER) and earnings management (EM) with emphasis on companies’ pro-environmental behavior and business ethics domain.

This meta-analysis synthesized the results from 31 studies with 110,024 firm-year observations concerning the relationship between CER and EM. The study has used corporate environmental disclosure index, corporate environmental performance ratings (CEPR), corporate environmental performance indicator and environmental regulations as proxies for CER to investigate the meta-results. Furthermore, the research then used emission level (measured using per capita CO₂ in metric tons), human development index for economic development, number of environmental mandatory policies (measured using Carrots and Sticks Report 2023) and western vs eastern culture as moderator variables.

The findings of this study revealed a significant negative relationship between CER and EM. Among different combined proxies of CER, CEPR reveal a significant and negative relationship with EM. Furthermore, the study suggests that future studies can explore this understudied area using proxies of EM, i.e. real EM, earnings persistence, value relevance and accounting conservatism.

This study offers insights to managers for transparent auditing and supports CER as a long-term sustainability plan. The regulators need to develop a global framework for environmental responsibility that does not compromise the quality of nonfinancial disclosers.

The findings of this study provide valuable insights for investors to make more informed decisions regarding green investments and suggest implications for policymakers to promote policies related to environmental sustainability and corporate transparency, thereby benefiting both investors and society. On a global scale, this study contributes to discussions concerning the alignment of corporate behavior with long-term environmental and financial integrity.

The meta-analysis addresses the long-standing two-decade debate of 2003–2023 on whether companies use CER as a transparency tool or use it as a greenwash to conceal their unethical earnings practices. To the best of the authors’ knowledge, this is the first meta-analysis to provide a comprehensive view to measure CER using different proxies to examine corporate ethical earnings behavior.

We aim to clarify the effect of economic uncertainty on Chinese stock market fluctuations. We extend the understanding of the asymmetric connectedness between economic uncertainty and stock market risk and provide different characteristics of spillovers from economic uncertainty to both upside and downside risk. Furthermore, we aim to provide the different impact patterns of stock market volatility following several exogenous shocks.

We construct a Chinese economic uncertainty index using a Factor-Augmented Variable Auto-Regressive Stochastic Volatility (FAVAR-SV) model for high-dimensional data. We then examine the asymmetric impact of realized volatility and economic uncertainty on the long-term volatility components of the stock market through the asymmetric Generalized Autoregressive Conditional Heteroskedasticity-Mixed Data Sampling (GARCH-MIDAS) model.

Negative news, including negative return-related volatility and higher economic uncertainty, has a greater impact on the long-term volatility components than positive news. During the financial crisis of 2008, economic uncertainty and realized volatility had a significant impact on long-term volatility components but did not constitute long-term volatility components during the 2015 A-share stock market crash and the 2020 COVID-19 pandemic. The two-factor asymmetric GARCH-MIDAS model outperformed the other two models in terms of explanatory power, fitting ability and out-of-sample forecasting ability for the long-term volatility component.

Many GARCH series models can also combine the GARCH series model with the MIDAS method, including but not limited to Exponential GARCH (EGARCH) and Threshold GARCH (TGARCH). These diverse models may exhibit distinct reactions to economic uncertainty. Consequently, further research should be undertaken to juxtapose alternative models for assessing the stock market response.

Our conclusions have important implications for stakeholders, including policymakers, market regulators and investors, to promote market stability. Understanding the asymmetric shock arising from economic uncertainty on volatility enables market participants to assess the potential repercussions of negative news, engage in timely and effective volatility prediction, implement risk management strategies and offer a reference for financial regulators to preemptively address and mitigate systemic financial risks.

First, in the face of domestic and international uncertainties and challenges, policymakers must increase communication with the market and improve policy transparency to effectively guide market expectations. Second, stock market authorities should improve the basic regulatory system of the capital market and optimize investor structure. Third, investors should gradually shift to long-term value investment concepts and jointly promote market stability.

This study offers a novel perspective on incorporating a Chinese economic uncertainty index constructed by a high-dimensional FAVAR-SV model into the asymmetric GARCH-MIDAS model.

This work aims to empirically investigate the effects of financial development on crop productivity of India.

Time series data such as crop production index, International Monetary Fund’s (IMF) financial development index, gross domestic product (GDP) per capita, arable land, rural population, trade openness and physical capital from 1980 to 2020 was used. The autoregressive distributed lag (ARDL) bounds testing approach of cointegration was used to determine the long-run equilibrium relationship between the selected time series. Also, ARDL long- and short-run coefficients were estimated to examine the effects of selected variables on crop productivity. Furthermore, to establish the robustness of results, long-run estimators such as fully modified least squares and the dynamic least squares were also used. Finally, using the vector error-correction model, causality between the selected time series was examined.

The ARDL cointegration test confirmed the existence of long-run equilibrium relationship among agricultural productivity, financial development, capital formation, GDP per capita, arable land, rural population and trade openness. The estimated long-run elasticities from all the three techniques and the short-run elasticities of ARDL have consistently suggested that the elasticity of financial development is higher (1.55% and 1.40%, respectively) in explaining the crop productivity of India. The short-run causality estimates indicated the presence of positive bidirectional causality between crop productivity and financial development and seven positive unidirectional causal relationships between the selected variables.

Agricultural credit being an important non-land input and essential for overall growth and sustenance of agricultural sector, the policymakers should ensure the overall development of its financial sector which will reduce the intermediation, informational and other transactional costs associated with agricultural credit. This will possibly result in timely availability and access to adequate and low-cost credit from institutional sources.

Though extensive research is available on the effects of financial development on economic growth, limited research is available concerning the impact of financial development on crop productivity, especially for an emerging economy like India. For India, predominantly studies have investigated the impact of farm credit on crop productivity but have not exclusively examined the effects of financial development on agricultural productivity. Therefore, this study not only adds to the empirical literature but also provides new evidence on the nexus between financial development and crop productivity by examining the effects of financial development on crop productivity using the composite financial development index developed by the IMF using the ARDL bounds test for cointegration and other econometric estimators.

The COVID-19 pandemic resulted in millions of lives lost. Beyond its devastating impact, did it also hurt consumer financial well-being? Consumer bankruptcy is often seen as a sign of experiencing extremely overextended debt burdens. This study aimed to identify factors associated with bankruptcy risks, specifically focusing on insolvency (when total debt exceeds total assets) and debt delinquency (being late in debt payments for 60 or more days).

Data were from the US 2022 Survey of Consumer Finances. Two bankruptcy risk variables included insolvency and debt delinquency. Potential influencing factors included in the analyses were COVID-19-induced shocks, financial capability, ownership of various debts and demographics. Logistic regression models were used to detect potential factors associated with bankruptcy risks.

First, a COVID-19-induced shock variable, new work schedule, reduced the risk of insolvency and four shock variables (COVID infection with serious persistent symptoms, work disruption due to childcare responsibilities, work reduction and work increase) increased the risk of debt delinquency. Second, financial capability factors played a crucial role. Desirable financial behavior reduced both risks of insolvency and debt delinquency. Subjective financial knowledge only reduced the risk of debt delinquency. Third, the types of debts held mattered. Holding credit card debt, student loans and other debts increased the risks of both insolvency and debt delinquency. Interestingly, holding auto loans reduced the risk of insolvency.

The data are limited to cross-sectional so that findings are only correlational. The data are from one developed economy, and the results may not be generalized to other economies, especially developing economies. Also, due to the lack of direct measure of consumer bankruptcy, only bankruptcy risks are measured in the study, but the findings can still be informative for understanding consumer bankruptcy behavior.

The results of this study have practical implications for government, business and nonprofit organizations to help consumers reduce the bankruptcy risks. The results suggest that when facing external shocks such as the COVID-19 pandemic, any work-related adjustments may help workers maintain income levels and reduce consumer bankruptcy risks, especially debt delinquency risk. Also, consumers should be encouraged to engage in desirable financial behaviors, such as spending within their income, seeking information before making financial decisions, using financial professionals and planning ahead, to reduce both insolvency and debt delinquency risks.

This study is the first to examine COVID-19-induced factors on bankruptcy risks, enriching the literature of COVID-19 impacts on consumers. Bankruptcy risks are used as negative indicators of consumer well-being, expanding the literature of consumer well-being. The study also examines if financial capability has the potential to reduce bankruptcy risks, an advancement in the literature of financial capability.