Examining the success of women of color-owned small and medium-sized enterprises in the United States: A system dynamics perspective

The objective of this study was to unravel the challenges confronting women of color (WoC)-owned small and medium-sized enterprises (SMEs) in the United States. This is based on findings that most WoC-owned SMEs fail within the first few years of establishment. The impact of the global financial crisis resulting from the COVID-19 pandemic on WoC-owned SMEs was also explored. System Dynamics (SD) is a computational modeling approach useful for understanding changes in a system over time and is applied in this study to illustrate WoC entrepreneurs' navigation through the startup and maturation of SMEs. The authors calibrated and validated the model with publicly available data. Findings revealed that more emphasis should be placed on failure reduction in the early years of establishment of these businesses. Also, there is the need for early intervention rather than focusing on the improvement of the successful business exit from the system. Results indicated that the creation of new businesses by WoC after the failure of existing businesses produced an increase in the number of failed enterprises. The authors assert that attention must be paid at the individual level through support to the entrepreneur. This study contributes to the extant literature by providing the first known SD model useful in depicting the SME system for WoC entrepreneurs in the US. The model serves as a potentially useful tool for informing effective policy making, education, and programmatic approaches to support the success of WoC entrepreneurs in the US.

     

Wisdom of the crowd and stock price crash risk: evidence from social media

Review of Quantitative Finance and Accounting - In this study, we investigate the impact of social media on future stock price crash risk. A stock price crash occurs when managers hoard bad news...     

Analysis of rural activity spaces and transport disadvantage using a multi-method approach

Current knowledge about the relationship between transport disadvantage and activity space size is limited to urban areas, and as a result, very little is known about this link in a rural context. In addition, although research has identified transport disadvantaged groups based on their size of activity space, these studies have, however, not empirically explained such differences and the result is often a poor identification of the problems facing disadvantaged groups. Research has shown that transport disadvantage varies over time. The static nature of analysis using the activity space concept in previous research studies has lacked the ability to identify transport disadvantage in time. Activity space is a dynamic concept; and therefore possesses a great potential in capturing temporal variations in behaviour and access opportunities. This research derives measures of the size and fullness of activity spaces for 157 individuals for weekdays, weekends, and for a week using weekly activity-travel diary data from three case study areas located in rural Northern Ireland. Four focus groups were also conducted in order to triangulate quantitative findings and to explain the differences between different socio-spatial groups. The findings of this research show that despite having a smaller sized activity space, individuals were not disadvantaged because they were able to access their required activities locally. Car-ownership was found to be an important life line in rural areas. Temporal disaggregation of the data reveals that this is true only on weekends due to a lack of public transport services. In addition, despite activity spaces being at a similar size, the fullness of activity spaces of low-income individuals was found to be significantly lower compared to their high-income counterparts. Focus group data shows that financial constraint, poor connections both between public transport services and between transport routes and opportunities forced individuals to participate in activities located along the main transport corridors.     

Bank systemic risk: An analysis of the sovereign rating ceiling policy and rating downgrades

We investigate the impact that the sovereign ceiling policy has on financial stability. In the event of a sovereign rating downgrade, we find that the rating agencies' sovereign ceiling policy leads to a disproportionate downgrade of the most creditworthy financial institutions in the economy and results in increased systemic risk. This asymmetric variation in bank ratings also impairs equity growth that further exacerbates bank insolvency. Our results are robust to several matching techniques, such as propensity score matching and entropy balancing, falsification tests, subsample analyses, alternative empirical proxies and model specifications.     

Causal relationship between apparel exports and macroeconomic factors

Apparel exports make a significant contribution to economic growth in major apparel exporting economies such as Bangladesh, Sri Lanka and Vietnam. This study aims to investigate the causal relationship between apparel export growth and its determinants such as GDP growth, infrastructure, financial development, foreign direct investment (FDI) and labour productivity using panel data from 11 major apparel exporting countries for the period 1996 to 2013. The results confirm a long-run equilibrium association among the variables and reveal that GDP growth, infrastructure, financial development, FDI, and labour productivity have a significant positive influence on apparel export growth. Furthermore, the heterogeneous panel non-causality test results suggest that GDP growth, infrastructure and labour productivity contribute to apparel export growth in the short-run. These findings have several policy implications for the governments of the countries under study.     

Encouraging knowledge sharing among employees: How job design matters

Job design is one of the most frequently researched practices in the Human Resource Management (HRM) literature, and knowledge sharing has become an important and heavily researched managerial practice. The links between these practices, however, have received little attention in the literature. We argue that job design matters to knowledge sharing for motivational reasons. Specifically, jobs contain characteristics that stimulate different kinds of motivation toward knowledge sharing, which have different effects on individual knowledge sharing behavior. We develop six hypotheses that unfold these ideas and test them on the basis of individual‐level data collected within a single firm. The hypotheses are tested in a LISREL model that confirms that job characteristics, such as autonomy, task identity, and feedback, determine different motivations to share knowledge, which in turn predict employees' knowledge sharing behaviors. © 2009 Wiley Periodicals, Inc.     

Preliminary test estimators of the parameters of simple linear model with measurement error

In this paper, we discuss the properties of preliminary test estimators (PTE) of the parameters of simple linear model with measurement error (ME model) when the slope of the linear model is suspected to be zero. Expressions of the bias, MSE and efficiencies are obtained under conditional as well as unconditional situations with known reliability coefficient. Conditional model results are compared to the standard model without measurement error. We also provide the unconditional model analysis in finite samples. Asymptotic theory under local alternatives is developed when the variance of measurement error or the ratio of the variance of the model error relative to the variance of the measurement error is known. Asymptotic expressions of bias and MSE of the estimators along with their efficiencies are obtained. In every case, it is shown that the measurement error tend to increase the variability of the estimators compared to the estimators without measurement error. Graphs and tables are provided to see these results and to determine optimum level of significance for minimum guaranteed efficiency. Received October 2001 RID="*" ID="*"  A. K. Md. E. Saleh is a Distinguished Research Professor and H. M. Kim is a Ph.D. candidate in the School of Mathematics and Statistics, Carleton University, Ottawa. Acknowledgment. The authors gratefully acknowledge the constructive suggestion of the referees to improve the paper. The research is supported by NSERC grant A3088.     

The audit expectation gap： A review of the contributing factors

The audit expectation gap is critical to the auditing profession because the greater the unfulfilled expectations from the public, the lower is the credibility, earning potential and prestige associated with the work of auditors. The aim of this paper is to uncover the causes of an audit expectation gap. It is revealed that the existence of an audit expectation gap is due to complicated nature of an audit function; conflicting role of auditors; retrospective evaluation of auditors＇ performance; time lag in responding to changing expectation; and self-regulation process of the auditing profession.