Performance of Cellular Bucket Brigades with Hand‐Off Times

A cellular bucket brigade is a way to coordinate workers along an aisle with work content on both sides. Each worker in a cellular bucket brigade works on one side of the aisle when he proceeds in one direction, and he works on the other side when he proceeds in the reverse direction. Although the cellular bucket brigade eliminates the unproductive walk‐back, it requires more hand‐offs to assemble a product than a traditional (serial) bucket brigade. These hand‐offs may waste significant production capacity as each of them requires an exchange of work, which can be complicated and time‐consuming in practice. This motivates us to investigate the impact of hand‐off times on the cellular bucket brigade's performance. We identify sufficient conditions to ensure no workers are idle in the long run and for the system to self‐balance in a model with hand‐off times. Our results suggest that even with significant hand‐off times, the cellular bucket brigade can remain substantially (about 50%) more productive than the traditional bucket brigade especially if the team size is small and the workers’ work velocities are close to their walk velocity.     

Back to basics: Re-examination of Demand-Control Theory of occupational stress

The Demand-Control model of occupational stress posits an interaction between job demands and job control predicting psychological strain, but previous research has found such an interaction only rarely or inconsistently. Such research, however, has often failed to measure either demands or strain faithfully to the model's constructs, or has simply failed to test for a statistical interaction. The present study corrected these shortcomings by going back to basics. Using a sample of 115 employees in a manufacturing company, it operationalized the variables more consistently with their original conceptualizations. However, when the hypothesized Demand-Control interaction was then tested, it still failed. Outcomes other than psychological strain (e.g. job dissatisfaction) were related negatively rather than positively to demands. This highlights the difference between psychological strain and dissatisfaction and casts doubt on models positing dissatisfaction as an intervening variable between stressors and strains.     

Measures of biomarker dependence using a copula-based multivariate epsilon–skew–normal family of distributions

In this note we develop a new multivariate copula model based on epsilon–skew–normal marginal densities for the purpose of examining biomarker dependency structures. We illustrate the flexibility and utility of this model via a variety of graphical tools and a data analysis example pertaining to salivary biomarker. The multivariate normal model is a sub-model of the multivariate epsilon–skew–normal distribution.     

Structure of Uncertainty and Decision Making: An Experimental Investigation*

Decisions in the real world usually involve imprecise information or uncertainty about the precesses by which outcomes may be determined. This research reports the results of a laboratory experiment which examined whether the structure of uncertainty, namely, both the center and the range of the probability distribution describing the uncertainty, is an important determinant of choice. Specifically, it examines how the uncertainty of audit by the Internal Revenue Service of income tax returns affects taxpayers' decisions about intentional noncompliance. The context is relevant as almost nothing is known about how taxpayers assess detection risks using the probability information they have. The study focuses on intentional noncompliance. The factors affecting it are distinct and separate from those affecting unintentional noncompliance. Other factors that affect intentional tax noncompliance, such as risk, tax rates, and penalty rates, were controlled in the experiment. It was hypothesized that the lower the mean and the lesser the range (ambiguity) of the perceived audit probability, the greater the international noncompliance. As hypothesized, the analysis indicates that both the mean and the range of the perceived audit probability rate affect intentional noncompliance, though the effect of ambiguity is greater at a relatively higher level of mean. This result suggests that the strength of the information describing an uncertain event is captured better by both the mean and the range of the uncertainty than either of those components singly.     

Feminized cultural capital at work in the moral economy: Home credit and working-class women

One of the defining features of the home credit sector is the role played by its agents—workers who act as intermediaries between lending companies and borrowers to facilitate lending and collect repayments. There is a prevailing and pervasive narrative in the sector that women make superior agents, largely based on the belief that female agents can manage relationships with borrowers more successfully than their male counterparts. This article analyzes data from 349,078 home credit accounts (loans), as well as 71 interviews with home credit agents and lending company managers, to evaluate both the myths and realities of women's roles in home credit. The data is also used to explore the opportunities for—and potential constraints on—women's career progression in home credit work, based on an understanding of the moral economy in which they operate. By exploring the moral economy of low-income communities, the article highlights the role of working-class women's cultural capital within the labor market. Despite women forming the majority of the agent workforce in home credit, women's capital is undervalued in comparison with their male counterparts' capital. The analysis within this article allows a greater understanding of the highly classed and gendered nature of the moral economy of low-income communities and the exchange value of women's capital within the labor market.