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Replication is essential to science for the purpose of (1) updating previously accepted knowledge and (2) testing the boundary conditions of this knowledge. Although Bader et al.’s (2018) impactful paper on gender harassment experienced by expatriates was only published five years ago, there have been two relevant exogenous shocks to the environment since they collected their data, making this study an excellent target for replication.

Three-hundred ninety-one expatriates who were currently working in 79 different countries completed an electronic survey that included scales for gender harassment, ethnicity harassment, general stress, frustration and job satisfaction. Data were analyzed using partial least-squares structural equation modeling (PLS-SEM) in Stata17.

Consistent with prior research, gender had a significant relationship with workplace gender harassment (ß = 0.228, p < 0.001) such that males experienced lower levels of harassment than other expatriates. The relationship between race/ethnicity and experiences of ethnicity harassment was dependent upon model specification. Workplace harassment had a negative relationship with job satisfaction (gender harassment, ß = −0.114, p = 0.030; ethnicity harassment; ß = −0.146, p = 0.002) and a positive relationship with frustration (gender harassment, ß = 0.231, p < 0.001; ethnicity harassment, ß = 0.213, p < 0.001).

Using a larger, more diverse sample than that used in prior research, the authors were able to test the generalizability of accepted knowledge. While the authors replicated many findings identified in prior research, they failed to replicate the effects pertaining to the relationship between macro-level variables and experiences of harassment. Given that macro-level variables play a key role in status construction theory (SCT), this research raises important questions for future work.

This study aims to examine whether two periods of extreme market conditions – the governance crisis and Sarbanes-Oxley Act regulatory shock of 2002 and the 2007–2008 global financial crisis – incrementally impacted the self-fulfilling prophecy effect, by examining the propensity of US firms receiving going concern modification (GCM) opinions to go bankrupt relative to their non-GCM distress risk-matched counterparts during these two crisis periods.

To assess the potential influence of the governance/regulatory shock of 2002 and the global financial crisis moderate or mitigate the self-fulfilling prophecy effect, the authors use multivariate logit analysis, regressing t + 1 bankruptcy status on time t GCM and other bankruptcy determinants, interacting crisis period dummies with the GCM variable.

GCM firms were more likely to declare bankruptcy than their distressed non-GCM counterparts, confirming prior research documenting the existence of a self-fulfilling prophecy effect. The authors also find that the self-fulfilling prophecy effect was exacerbated by the governance crisis/Sarbanes-Oxley Act regulatory shock, but not the global financial crisis, a financial/banking sector shock.

This study contributes to the financial crisis and auditing literatures by examining whether exogenous shocks exacerbate the self-fulfilling prophecy effect. The present analysis and findings have implications for future academic research related to systemic shocks and for auditors in documenting the inducement effect arising from the issuance of GCMs during crisis periods.

The purpose of this paper is to explore and analyse the dynamic relationship between remittances inflows of Egyptians working abroad and asymmetric oil price shocks.

This study uses a vector autoregressive (VAR) model to explain the impulse response functions (IRFs) and the forecast error variance decomposition (FEVD). The rationale behind using these tools is its ability to examine the dynamic effects of our variables of interest.

The impulse response functions confirmed that remittance inflows have various responses to asymmetric oil price shocks. For instance, inflowing remittances increase in response to positive oil price shocks, while it decreases in response to negative oil price shocks. Also, the results indicate that the responses are significant in the short and medium-run and insignificant in the long run. The magnitude of these responses reaches its peak or trough in the third year. Further, the variance decomposition reveals that oil price decreases are more influential than oil price increases.

This means that remittances inflows in Egypt are pro-cyclical with oil price shocks. That explained by the fact that more than one-half of those remittances sent from GCC countries where real economic growth is very pro-cyclical with the oil prices. This empirical assessment will help policymakers to determine the behaviour of remittances and highlights the impact of different kinds of oil prices shocks on remittances. Unlike the little existing literature, this study is the first study applied the VAR model using a novel dataset spanning 1960-2016.

The paper investigates the dynamic relationship between oil prices, the USA dollar exchange rate and the Saudi stock market index.

The authors perform a novel dynamic simulated the autoregressive distributed lag (ARDL) on weekly data from 2010 to 2021.

The authors' work reveals three main results: First, a cointegration relationship exists between oil prices and the Saudi stock market index. Second, the Saudi stock market is strongly affected by fluctuations in oil prices in both the short and long run. Third, the exchange rate of the USA dollar has a slight influence on the movements of the Saudi stock market. The simulations show that the Saudi stock market index has a long-run upward trend after an oil price shock, while the dollar index rises moderately after a similar shock. Moreover, the first months of the COVID-19 pandemic coincided with a significant decline in the Saudi stock market index, particularly the substantial drop in oil prices.

These findings encourage domestic and foreign investors to benefit from an upward trend in oil prices, especially after the opening of the Saudi market to foreign investment. On the other hand, it raises questions about the Saudi economy's dependence on oil as the sole vehicle for output growth. It highlights the urgent need for diversification and productivity growth in the non-oil sector and other renewable natural resources to increase Saudi competitiveness.

The novelty of the research lies in the following. First, the authors apply one of the latest developments in time-series modeling techniques. This dynamic ARDL simulation model provides a worthwhile alternative way to explore dynamic correlations in the short and long run and assess the choc effects. Secondly, the study would enable us to track the impact of the COVID-19 health crisis on the Saudi stock market.

This paper aims to revisit the theme of fiscal-monetary coordination in a general equilibrium setup that allows for unconventional monetary policy, monetary policy transmission and developing country characteristics.

This paper uses a calibrated new Keynesian dynamic stochastic general equilibrium (DSGE) model to study fiscal-monetary interaction.

Debt sits at the center of monetary-fiscal interaction. Under high-debt conditions, the inflation-output trade-off rises with an increase in the strictness with which monetary policy targets inflation, undermining the standard prescription of strict inflation targeting. At the same time, the transmission of monetary policy is also impeded, due to which unconventional monetary policy becomes more appropriate. The need for coordination among the policies gets enhanced in the presence of borrowing cost channel. While the presence of borrowing cost channel increases the need for policy coordination regardless of the debt situation, features like higher share of non-Ricardian households and weaker monetary policy transmission affect monetary-fiscal interaction to a greater extent under high-debt environment.

First, this paper uses inflation-output trade-off as a metric, to analyze fiscal-monetary interaction. Second, this paper considers the impact of developing country characteristics (such as a higher share of non-Ricardian households, impeded monetary policy transmission and supply constraints/borrowing cost channel) on fiscal-monetary interaction. Third, the DSGE model developed in this paper incorporates open market operations that could shed light on the role of unconventional monetary policy in the presence of high fiscal deficit and debt, which is particularly relevant in the current context of the COVID-19 pandemic. Fourth, the model also permits an investigation into monetary policy transmission under different debt regimes.

Foreign direct investment in the real estate (FDIRE) sector is required to bridge the gap between investment needed and domestic funds. Further, foreign direct investment is gaining importance because other sources of raising finance such as External Commercial Borrowing and foreign currency convertible bonds have been banned in the Indian real estate sector. Therefore, the objective of the study is to explore the determinants attracting foreign direct investment in real estate and to assess the impact of those variables on foreign direct investments in real estate.

Johansen cointegration test, vector error correction model along with variance decomposition and impulse response function are employed to understand the nexus of the relationship between various macroeconomic variables and foreign direct investment in real estate.

The results indicate that infrastructure, GDP and tourism act as drivers of foreign direct investment in real estate. However, interest rates act as a barrier.

This article aimed at exploring factors attracting FDIRE along with estimating the impact of identified variables on FDI in real estate. Unlike other studies, this study considers FDI in real estate instead of foreign real estate investments.

The COVID-19 pandemic has profoundly impacted small and medium-sized enterprises (SMEs), inherently vulnerable entities, prompting a pivotal question of how to enhance SMEs’ organizational resilience (OR) to withstand discontinuous crises. Although digital innovation (DI) is widely acknowledged as a critical antecedent to OR, limited studies have analyzed the configurational effects of DI on OR, particularly stage-based analysis.

Underpinned by the dynamic capabilities view, this study introduces a multi-stage dynamic capabilities framework for OR. Employing Latent Dirichlet Allocation (LDA), digital product innovation (DPI), digital services innovation (DSI) and digital process innovation (DCI) are further deconstructed into six dimensions. Furthermore, we utilized fuzzy-set qualitative comparative analysis (fsQCA) to explore the configuration effects of six DI on OR at different stages, using data from 94 Chinese SMEs.

First, OR improvement hinges not on a singular DI but on the interactions among various DIs. Second, multiple equivalent configurations emerge at different stages. Before the crisis, absorptive capability primarily advanced through iterative DPI and predictive DSI. During the crisis, response capability is principally augmented by the iterative DPI, distributed DCI, and integrated DCI. After the crisis, recovery capability is predominantly fortified by the iterative DPI, expanded DPI and experiential DSI. Third, iterative DPI consistently assumes a supportive role in fortifying OR.

This study contributes to the extant literature on DI and OR, offering practical guidance for SMEs to systematically enhance OR by configuring DI across distinct stages.

As China shifts from a “human capital demographic dividend” to a “demographic dividend” as a source of economic growth, this paper examines the influence of social security system improvement on enterprises efforts to attract talent and enhance innovation ability.

This study uses a sample of Chinese listed firms from 2008 to 2019 to analyse the influences of social security contributions on enterprise innovation, and the mediating effect of human capital accumulation. The OLS, DID test, placebo test, 2SLS are used to test the research questions.

The authors find a significant positive correlation between social security contributions and enterprise innovation because social security contributions improve the accumulation of human capital, helping enterprises to attract talent, which in turn has a positive impact on corporate innovation. The positive correlation between social security contributions and enterprise innovation is more significant in private enterprises, STAR Market and GEM listed companies and labour-intensive enterprises.

These findings provide a theoretical basis for the formulation of relevant policies and the current reform of social security collection in China. The findings also have practical significance for the sustainable development of China's economy given its ageing population.

This study provides a new perspective, that is, from the perspective of human capital accumulation, to discuss the impact of social security contributions on enterprise innovation, and enriches the relevant literature on the economic consequences of social security contributions and the influencing factors of corporate innovation.

Reactance theory is applied to investigate consumer responses to “buy local” campaigns initiated by government to counteract the effects of an economic crisis, using the COVID-19 pandemic as an illustrative context.

A conceptual model is developed, aimed at revealing the extent to which “buy local” campaigns – explicitly justified by the need to fight an economic crisis – are likely to lead to (a) compliance (i.e. support for local products/retailers) or (b) freedom restoration (i.e. support for foreign products/retailers). The model is subsequently tested on samples of German (N = 265) and Italian (N = 268) consumers.

“Buy local” campaigns are likely to generate reactance amongst consumers and such reactance can lead to both non-compliance and, albeit less so, freedom restoration outcomes. At the same time, consumer ethnocentrism acts as a countervailing influence by attenuating the effects of generated reactance and its undesirable outcomes.

Psychological reactance theory offers a novel perspective for conceptually approaching the likely responses of consumers towards “buy local” campaigns and the empirical findings support the use of the theory in this context.

Policymakers seeking to encourage consumers to support the local economy during times of an economic crisis need to be aware that “buy local” campaigns may, against their intended communication goals, result in non-compliance as well as consumer responses in the opposite direction. Thus, the reactance-generating potential of such campaigns needs to be explicitly considered at the planning/implementation stage.

The findings confirm the relevance of reactance theory as a conceptual lens for studying the effects of “buy local” campaigns and have important implications for domestic/foreign firms as well as for policy makers seeking to encourage consumers to support the local economy during times of an economic crisis.

In the context of investment decisions, the intricate interplay between exogenous shocks and their influence on investor confidence significantly shapes their behaviors and, consequently, their outcomes. Investment decisions are influenced by uncertainties, exogenous shocks as well as the sentiments and confidence of investors, factors typically overlooked by decision-makers. This study will meticulously examine these multifaceted influences and discern their intricate hierarchical nuances in the sentiments of industrial entrepreneurs during the COVID-19 pandemic.

Employing the robust framework of the generalized linear latent and mixed models (GLLAMM), this research will thoroughly investigate individual and group idiosyncrasies present in diverse data compilations. Additionally, it will delve deeply into the exogeneity of disturbances across different sectors and regions.

Relevant insights gleaned from this research elucidate the adverse influence of exogenous forces, including pandemics and financial crises, on the confidence of industrial entrepreneurs. Furthermore, a significant discovery emerges in the regional analysis, revealing a notable homogeneity in the propagation patterns of industrial entrepreneurs' perceptions within the sectoral and regional context. This finding suggests a mitigation of regional effects in situations of global exogenous shocks.

Within the realm of academic inquiry, this study offers an innovative perspective in unveiling the intricate interaction between external shocks and their significant impacts on the sentiment of industrial entrepreneurs. Furthermore, the utilization of the robust GLLAMM captures the hierarchical dimension of this relationship, enhancing the precision of analyses. This approach provides a significant impetus for data-informed strategic directions.