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Gender diversity is known to trigger creative and relationship conflicts alike, the former a boon for innovation and the latter a bane. This study aims to explore the possibility of a gender mix that is “just right” for balancing the intensities of varied forms of conflict to boost innovation in firms in India. Specifically, this paper investigated the presence of an optimal level of women as a percentage of the firm’s full-time permanent employees (Percent-Women) that maximized the firm’s likelihood of product innovation (Product–Innovation–Likelihood).

Logistic regression analyses of firm-level data of Indian establishments of varied sizes and industries from World Bank Enterprise Surveys 2014 was performed. Instrumental variable addressed the potential endogeneity of Percent-Women.

The analysis demonstrated an inverted U-shaped relationship between Product–Innovation–Likelihood and Percent-Women. Product–Innovation–Likelihood peaked when Percent-Women lay between 35% and 58%, i.e. when the firm was gender-balanced or close to it.

The finding of an optimal level of female inclusion presents to firms a defined target of gender mix to be achieved, failing to which they may be limiting their innovation potential. It compels firms to view gender diversity as a business imperative with definite implications for their long-term performance.

For India, the demonstrated relationship between workplace gender diversity and innovation brings additional reason and urgency to public initiatives, such as female literacy, for boosting female economic engagement. Innovation can power the next stage of the Indian growth story by engaging the heretofore insufficiently tapped female worker.

By demonstrating an optimal degree of female inclusion at which innovation potential peaks, the study reconciled opposing theories of diversity-driven conflicts and went beyond the commonly observed simple linear relationship between female inclusion and innovation. Further, the paper focused on India, a major developing economy with a vast female populace and growing innovation ambitions but scarcely researched for gender diversity’s role in innovation.

This paper aims to investigate the effect of the COVID-19 pandemic market shock on house pricing, time-on-market (TOM) and probability-of-sale functions using local multiple listing service data from Richmond, Virginia, USA.

The empirical analyses use a two-stage residual inclusion model to simultaneously address endogeneity and nonlinearity in modeling sales price and TOM, and a Heckman two-stage procedure to account for sample selection bias in estimating the probability-of-sale.

The pandemic shock not only directly impacted average home prices, TOM and probability-of-sale, but it also caused the coefficients of some of the factors that influence these metrics to change while others were stable to the exogenous shock of the pandemic. The authors find that coefficients in the hedonic pricing, TOM and probability-of-sale models did not shift instantaneously; instead, the impact evolved over several months at the beginning of the pandemic until stabilization.

The results should be of interest to buyers and sellers of residential properties, agents specializing in residential properties and researchers looking to better capture the impact of exogenous events on housing prices and buyer preferences.

To study the key determinants of chronically high inflation in Iran.

Relying on annual data from 1978 to 2019, the authors employ an Auto-Regressive Distributed Lag (ARDL) model and Error Correction Model (ECM) to study the inflationary effects of monetary and fiscal policies as well as exchange rate swings and sanctions intensification.

The authors find that increase in money supply, depreciation of nominal exchange rate, increase in fiscal deficit and intensification of sanctions are among the key drivers of inflation in Iran. Their impact is profound in the long run, but in the short run only money supply and currency depreciation are significant. Also, when exploring the inflation in different components of Consumer Price Index (CPI), we find robust long- and short-run effects from money supply and exchange rate, while the effects of fiscal deficit and sanctions vary across different components.

The authors contribute to the literature by setting apart the long-vs short-run effects of key variables on inflation in Iran. The authors also employ improved measures of fiscal deficit and sanctions that are shown to be of significance in the long run. Lastly, the authors go beyond the aggregate index and examine the variations in different CPI components.

This paper assesses the lending risks associated with the level of total household indebtedness at the local authority level across the UK.

Using GIS-based Exploratory Data Analysis and mapping, the paper identifies local concentrations of household borrowing, both secured and unsecured, which is referenced against regional Gross Added Value.

Significant local differences are revealed which are tracked over the period 2013–2019. Total debt relative to the size of economy is larger in London and local authorities around London. A positive correlation was revealed between areas of multiple deprivation in England and those local authorities with proportionally high unsecured lending, confirming that the less well-off require access to debt facilities and in the absence of availability of secured loans, resort to unsecured borrowing.

Understanding where the additional lending risks are located across the UK is relevant when evaluating the robustness of the economy to recession, with its uneven effects on different sectors and households and the impact of monetary policy changes, particularly sharp rises in interest rates. The mapping of these risks is illuminating and aids understanding.

Integrating anxiety and uncertainty management (AUM) theory and theory of organizing, this study aims to contribute to the knowledge management literature by examining the interdependent and bidirectional nature of knowledge transfer between expatriates and host country nationals (HCNs). Specifically, the authors investigate how receivers’ cognitive response to senders’ behaviors during their interactions becomes an important conduit between senders’ behaviors and the successful transfer of knowledge.

The authors used the actor partner interdependence model to analyze data from 107 expatriate-HCN dyads. The authors collected the responses of these expatriate-HCN dyads in Shanghai, Taipei, Hong Kong, Vietnam, South Korea, Malaysia, Thailand, Indonesia and India.

Receivers’ interaction anxiety and uncertainty, as a response to senders’ relationship building behaviors, mediate the relationship between senders’ relationship building behaviors and successful knowledge transfer. When senders are expatriates, senders’ communication patience and relationship building behaviors interact to reduce the direct and indirect effects of both receivers’ interaction anxiety and uncertainty. However, when senders are HCNs, the moderation and moderated mediation models are not supported.

The study contributes to the knowledge management literature by investigating knowledge transfer between expatriates and HCNs using an interpersonal cross-cultural communication lens. The authors make refinements to AUM theory by going beyond the sender role to highlighting the interdependence between senders and receivers in the management of anxiety and uncertainty which, in turn, influences the effectiveness of cross-cultural communication. The study is also unique in that the authors underscore an important yet understudied construct, communication patience, in the successful transfer of knowledge.

Drawing on the challenge–hindrance stressor framework and the “too-much-of-a-good-thing” principle, this study examined the curvilinear effects of two emic social challenge stressors (guanxi beliefs and participative decision-making (PDM)) and the moderating effect of an etic social hindrance stressor (perceived organizational politics) on Hong Kong and United States nurses’ job satisfaction.

A quantitative survey method was implemented, with the data provided by 355 Hong Kong nurses and 116 United States nurses. Structural equation modeling was used to examine the degree of measurement equivalence across Hong Kong and US nurses. The proposed model and the research questions were tested using nonlinear structural equation modeling analyses.

The results show that while guanxi beliefs only showed an inverted U-shaped relation on Hong Kong nurses’ job satisfaction, PDM had an inverted U-shaped relation with both Hong Kong and United States nurses’ job satisfaction. The authors also found that Hong Kong nurses experienced the highest job satisfaction when their guanxi beliefs and perceived organization politics were both high.

The results add to the comprehension of the nuances of the often-held assumption of linearity in organizational sciences and support the speculation of social stressors-outcomes linkages.

Managers need to recognize that while the nurturing and development of effective relationships with employees via social interaction are important, managers also need to be aware that too much guanxi and PDM may lead employees to feel overwhelmed with expectations of reciprocity and reconciliation to such an extent that they suffer adverse outcomes and become dissatisfied with their jobs.

First, the authors found that influences of guanxi beliefs and PDM are not purely linear and that previous research may have neglected the curvilinear nature of their influences on job satisfaction. Second, the authors echo researchers’ call to consider an organization’s political context to fully understand employees’ attitudes and reactions toward social interactions at work. Third, the authors examine boundary conditions of curvilinear relationships to understand the delicate dynamics.

Are franking credit balances priced? This paper aims to investigate the valuation of franking credit balances via a determinant analysis and value relevance analysis.

The determinant analysis examines the factors that contribute to the increasing cumulative level of franking credit balances. Value relevance studies explore whether franking credit balances are priced in the market.

The results provide strong evidence of a size effect that the level of franking credit balances increases with firm size and weak evidence of an international focus effect that the level of franking credit balances increases with international ownership. They also find an individual dividend clientele effect that the level of franking credit balances decreases with individual ownership. They find significant evidence that franking credit balances are priced in the market. One dollar of franking credit is worth 1.4 dollars in firm value. That franking balances are capitalized at more than their face value suggests that franking credits signal firms' future dividend policy. They also find that the market valuation of franking balances increases with firm size but decreases with international focus.

This study provides direct evidence that franking credit balances are capitalized into equity prices. In the determinant analysis, this paper improves Heaney's (2009) model by using the percentage of international ownership as the proxy of international focus, thus addressing the limitation of his measure. In the value relevance tests, the study uses a modified model that includes log-transformation to reduce the skewness of variables based on Tanza's (2014) value relevance model. Moreover, the study suggests that the market valuation of franking credit balances increases with firm size, which contradicts Heaney's (2009) findings.

This paper aims at contributing to our understanding of how self-settled Syrian refugees (registered and non-registered) use informal practices to forge their non-political agency and how this agency could be considered as political acts.

This paper was conducted per the qualitative data analysis (in-depth interviews and participant observation), attributed to the critical ethnographic approach, through which refugees’ everyday struggle is explored, additionally, that was incorporated with the analysis of Syrians’ Facebook groups and formal sources.

The research paper concluded that everyday struggle strategies are considered as political acts by acquiring rights that many self-settled Syrian refugees are stripped of by international humanitarian agencies and host government. Hence, registered and unregistered refugees equally forge what is called “informal citizenship” through their presence via a blend of agency forms ranging from hidden agency to explicit one and via their incorporating into the informal contexts, leading them to carve a position of semi-legality that help them to circumvent the formal structural hardship.

This paper endeavors to study how urban refugees as change agents can convert their illegal presence to “probably refugeeness” to unsettle the prominent recognition of them as illegal non-citizens in southern cities.

We develop and test an innovative approach to teaching financial statement analysis (FSA) and assessing student learning outcomes based on making complex stock investment decisions compared to professional analysts. We train students to apply FSA and emphasize interdisciplinary factors and high integrative complexity. Our innovative FSA teaching approach, which we apply in an MBA financial reporting course, involves the instructor lecturing on FSA as a tool for integrative and complex decision making, students researching and applying FSA to public companies, and presenting the rationale for individual and group stock investment decisions. The instructor gives high-quality and timely feedback on the students’ application of FSA with a focus on investment judgments involving critical thinking, problem-solving, and teamwork skills. Our detailed efficacy analysis shows that our FSA teaching approach is effective. Students who perceive a public company to have credible management, effective competitive strategy, and an acceptable level of financial flexibility make comparable individual and group stock investment decisions as professional analysts.