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Academic Journal
Management

“Earnings of Persons with Disabilities: Who Earns More (Less) from Entrepreneurial Pursuit?”

Earnings of Persons with Disabilities:
Who Earns More (Less) from Entrepreneurial Pursuit?
Abstract. Persons with disabilities (PWD) are among the largest and most diverse minority groups and among the most disadvantaged in terms of employment. Entrepreneurial pursuit is often advocated as a path toward employment, inclusion, and equality, yet few studies have investigated earning variation among PWD.
Methodology. We draw on social cognitive career theory (SCCT) and disability employment and entrepreneurship literatures to develop hypotheses about who among PWD are likely to earn more (less) from entrepreneurial pursuits. We then conduct analyses on the nationally representative sample of Canadian Survey on Disability including all PWD engaged in entrepreneurial pursuit and match each to an organizationally employed counterpart of the same gender and race, and of similar age and disability severity (n ≈ 810).
Findings. Entrepreneurial pursuit has a stronger negative association with earnings of PWD who experience earlier disability onset ages, who report more unmet accommodation needs, and who are female.
Originality. First, this study applies SCCT to help bridge literatures on organizational employment barriers for PWD and entrepreneurs with disabilities. Second, we call into question the logic of neoliberalism about entrepreneurship by showing that barriers to organizational employment impact entrepreneurial pursuit decisions and thereby earnings. Third, we extend understanding of entrepreneurial earnings among PWD by examining understudied disability and demographic attributes. Lastly, this study is among the first to use a matched sample to empirically test the impact of entrepreneurial pursuit on the earnings of PWD.
Keywords. disabilities, social cognitive career theory (SCCT), entrepreneurial pursuit, onset age, accommodation, disability origin
Details

2022 Emerald Yang Yang Mukta Kulkarni David Baldridge Alison Konrad View on: Google Scholar

Academic Journal
BIS

“EBizPort: Collecting and Analyzing Business Intelligence Information”

In this article, Marshall, McDonald, Chen, and Chung take a different approach to supporting search services to large and heterogeneous document collections. They propose development of a domain-specific collection by crawling the content of a small set of highly reputable sites, maintaining a local index of the content, and providing browsing and searching services on the specialized content. This resource, known as a vertical portal, has the potential of overcoming several problems associated with bias, update delay, reputation, and integration of scattered information. The article discusses the design of a vertical portal system's architecture called EbizPort, rationale behind its major components, and algorithms and techniques for building collections and search functions. Collection (or more broadly content) has an obvious relationship to the nature of the search interface, as it can impact the type of search functions that can be offered. Powerful search interface functions were built for EbizPort by exploiting the underlying content representation and a relatively narrow and well-defined domain focus. Particularly noteworthy are the innovative browsing functions, which include a summarizer, a categorizer, a visualizer, and a navigation side-bar. The article ends with a discussion of an evaluation study, which compared the EbizPort system with a baseline system called Brint. Results are presented on effectiveness and efficiency, usability and information quality, and quality of local collection and content retrieved from other sources (an extended search operation called meta-search service was also provided in the system). Overall, the authors find that EbizPort outperforms the baseline system, and it provides a viable way to support access to business information.
Details

873-891 pages 2004 Journal of the Association for Information Science and Technology Byron Marshall Dan McDonald Hsinchun Chen Wingyan Chung View on: Google Scholar

Academic Journal
Finance

“Effect of price limits: initial public offerings versus seasoned equities”

In this paper, we examine the effect of price limits on initial public offerings (IPOs) using Taiwanese data. On average, it takes 6.24 days for IPOs to reach their equilibrium prices in the presence of a 7% price limit. We compare IPOs with their industry- and size-matched seasoned equities (MSEs) and observe higher volatility levels on subsequent days for IPOs than for MSEs. However, the higher volatility decays within 2 days. Lower price limits interfere with trading and lead to higher trading activity on subsequent days for IPOs than for MSEs. We also observe delayed price discovery for both IPOs and MSEs. Overall, our results provide evidence about the effect of price limits on IPOs and generate important regulatory implications for countries imposing price limits on IPOs.
Details

295-318 pages 2009 Yong Kim Jimmy Yang View on: Google Scholar

Academic Journal
Supply Chain

“Effectiveness of Bonus and Penalty Incentive Contracts in Supply Chain Exchanges: Does National Culture Matter?”

The purpose of this study is to investigate the impact of national culture on the effectiveness of bonus and penalty contract incentive structures in supply chain exchanges. We conduct laboratory experiments in Canada, China, and South Korea, involving transactional exchanges in which suppliers are presented with either bonus or penalty contracts. We then evaluate suppliers’ contract acceptance, effort level, and shirking comparatively across national culture. Our findings reveal critical cultural influences on contract efficacy. We show that while acceptance of bonus contracts is comparable across cultures, suppliers from Canada, associated with a national culture low in power distance and high in humane orientation, exhibit lower acceptance rates on penalty contracts. We also find some evidence that suppliers associated with collectivist cultures reward bonus contracts with greater effort and less shirking, but that these relationships are more complex. When contract effectiveness is compared across bonus and penalty contracts within a given cultural setting, we find that bonus contracts are accepted more than penalty contracts in all three countries. Also, after contracts are accepted, bonus contracts are more successful in China as suppliers exert higher efforts and shirk less under bonus contracts than penalty contracts, while accepted contracts are nearly indistinguishable in Canada and South Korea.
Details

59-74 pages 2018 Yun Lee Dina Ribbink Stephanie Eckerd View on: Google Scholar

Academic Journal
Business Analytics

“Efficient and Effective Calibration of Numerical Model Outputs Using Hierarchical Dynamic Models”

Numerical air quality models, such as the Community Multiscale Air Quality (CMAQ) system, play a critical role in characterizing pollution levels at fine spatial and temporal scales, but the model outputs tend to systematically over- or under-estimate pollutants concentrations. In this work, we propose a hierarchical dynamic model that can be implemented to calibrate large-scale grid-level CMAQ model outputs using point-level observations from sparse monitoring stations. Under a Bayesian framework, our model presents a flexible quantification of uncertainties by considering deep hierarchies for key parameters and can also be used to describe the dynamic nature of data structural changes. In addition, we adopt several newly developed techniques, including triangulation of research domain, tapering-based Gaussian kernel, Gaussian graphical model, variational Bayes, and ensemble Kalman smoother, which significantly speed up the entire calibration process. We demonstrate the effectiveness of our model using the daily PM2.5 datasets of China's Beijing-Tianjin-Hebei region, which consists of 68 monitoring stations and 2499 CMAQ 9-km grids. In contrast to the existing methods, our model produces more accurate calibration results, generates maps of higher-quality predictions, and operates at a higher computational efficiency. Overall, this methodology proves to be an effective calibration tool for large-scale numerical model outputs.
Details

1064-1089 pages 2024 Yewen Chen Xiaohui Chang Bohai Zhang Hui Huang View on: Google Scholar

Academic Journal
Marketing

“Embracing the Spotlight (Effect): How Attention Received Online Influences Consumers’ Offline Spotlight Biases”

In general, consumers perceive others to pay more attention to them than is actually the case (i.e., the spotlight bias). The present research examines how the magnitude of this bias (i.e., the relative inaccuracy of these attention-related perceptions) can be influenced by the attention consumers receive after sharing content online. Specifically, when consumers receive more (less) attention after sharing content online, they experience increased (decreased) egocentrism. This, in turn, increases (decreases) the inaccuracy of their perceptions regarding the attention others pay to their subsequent offline behavior—i.e., it increases (decreases) the magnitude of their spotlight biases. This effect is moderated by both consumers’ need for attention and their intensity of social media use. Thus, this research highlights how online feedback mechanisms can have a detrimental effect on consumers’ ability to accurately perceive their offline social environments. It also contributes to theory by demonstrating the online-to-offline contagion of egocentrism.
Details

45-47 pages 2024 Springer Matthew Hall View on: Google Scholar