A Simulation Metamodel for Response-Time Planning*

Field service management continues to be a major challenge for many service organizations as companies are required to provide more service with less resources. Especially in information intense environments, short response times for service calls are essential to avoid disruptions to a business office or production facility. Managers must regularly assess their manpower needs, and ensure that their allocation and operational decisions lead to the best service at the lowest cost. Xerox Corporation provides copiers, duplicators, and printing systems to an international market. Xerox operates a service network consisting of over 30,000 trained service personnel, each allocated to service regions by the service planning staff. Response-time planning involves many challenging problems: requirements planning at the national level, allocation planning at the district level, and operational planning at the team level. Customer service is critical and is commonly measured by response time—the time that elapses from when a service call is placed to when a service engineer begins service. This paper discusses how Xerox Corporation has used simulation models and metamodels to improve response-time planning and field service operations.     

Managing Functional Biases in Organizational Forecasts: A Case Study of Consensus Forecasting in Supply Chain Planning

To date, little research has been done on managing the organizational and political dimensions of generating and improving forecasts in corporate settings. We examine the implementation of a supply chain planning process at a consumer electronics company, concentrating on the forecasting approach around which the process revolves. Our analysis focuses on the forecasting process and how it mediates and accommodates the functional biases that can impair the forecast accuracy. We categorize the sources of functional bias into intentional, driven by misalignment of incentives and the disposition of power within the organization, and unintentional, resulting from informational and procedural blind spots. We show that the forecasting process, together with the supporting mechanisms of information exchange and elicitation of assumptions, is capable of managing the potential political conflict and the informational and procedural shortcomings. We also show that the creation of an independent group responsible for managing the forecasting process, an approach that we distinguish from generating forecasts directly, can stabilize the political dimension sufficiently to enable process improvement to be steered. Finally, we find that while a coordination system—the relevant processes, roles and responsibilities, and structure—can be designed to address existing individual and functional biases in the organization, the new coordination system will in turn generate new individual and functional biases. The introduced framework of functional biases (whether those biases are intentional or not), the analysis of the political dimension of the forecasting process, and the idea of a coordination system are new constructs to better understand the interface between operations management and other functions.     

Testing Models of Low‐Frequency Variability

We develop a framework to assess how successfully standard time series models explain low‐frequency variability of a data series. The low‐frequency information is extracted by computing a finite number of weighted averages of the original data, where the weights are low‐frequency trigonometric series. The properties of these weighted averages are then compared to the asymptotic implications of a number of common time series models. We apply the framework to twenty U.S. macroeconomic and financial time series using frequencies lower than the business cycle.     

Social Class and Conversion Capacity: Deprivation Trends in the Great Recession in Ireland

In this paper, we draw on Irish SILC data to examine the roles of social class, non-class risk groups and state policies in influencing enforced material deprivation as Ireland moved from a period of economic boom through deep recession and on to early recovery. We also employ Sen’s capability approach to explore the extent to which certain social risk groups differ in their capacity to convert social class-differentiated resources into increased capability in relation to avoiding material deprivation. The findings refute the notion of polarization either across time as a result of recession or as a result of more vulnerable social risk groups experiencing more pronounced social class differences. Instead, the impact of recession on social class and social risk group operated mainly in an additive manner with each having a relatively independent impact on deprivation. The exception was lone parents who were less able to convert the benefits of higher social class position into reduced deprivation levels.     

The effects of demand,competitive, and technological uncertainty on board monitoring and institutional ownership of IPO firms

This paper considers industry-specific contingencies that may account for some of the inter-firm heterogeneity in the deployment of specific corporate governance mechanisms in IPO firms. We examine how differences in demand, competitive, and technological uncertainty in the industry influence the levels of IPO firm monitoring by board outsiders and institutional investors. We test our theory using a sample of U.S. firms that completed an IPO in 24 manufacturing industries. The results indicate that industry uncertainty is, indeed, significantly related to the use of corporate governance mechanisms. In particular, the empirical results indicate that industry effects on IPO firm board monitoring and institutional investor ownership are the strongest and most consistent for demand uncertainty and competitive uncertainty.

Disabled people in Britain and the impact of the COVID-19 pandemic

This paper reports on in-depth qualitative interviews conducted with 69 disabled people in England and Scotland, and with 28 key informants from infrastructure organisations in the voluntary and statutory sectors, about the impact of COVID-19, and measures taken to control it. Participants were recruited through voluntary organisations. As with everyone, the Pandemic has had a huge impact: we discuss the dislocations it has caused in everyday life; the failures of social care; the use of new technologies; and participants' view on leadership and communication. We conclude with suggestions for urgent short term and medium term responses, so that the United Kingdom and other countries can respond better to this and other pandemics, and build a more inclusive world.     

The Australian Census Longitudinal Dataset: using record linkage to create a longitudinal sample from a series of cross‐sections

The Australian Bureau of Statistics is creating a longitudinal sample, called the Australian Census Longitudinal Dataset (ACLD), by linking person records across its five‐yearly Census of Population and Housing. This paper proposes a Multi‐Panel framework for selecting and weighting records in the ACLD. This framework can be applied more generally to selecting longitudinal samples from a series of cross‐sectional administrative files. The proposed framework avoids some significant limitations of the popular ‘Top‐Up’ sampling approach to maintaining the cross‐sectional and longitudinal representativeness of a sample over time.     

How Does a Campus Recovery House Impact Its Students and Its Host Institution?

This is a literature review about a growing trend in meeting the needs of students in recovery who wish to attend an institution of higher education. The trend is campus-based recovery community programs and, more specifically, campus-based recovery houses. The need for, development mechanisms for, and models of different recovery houses are discussed. Trends, disagreements, and gaps in the literature are addressed, as are recommendations for future research. To better understand the context of this type of intervention for recovering college students, long-standing formal and informal recovery tools are defined and addressed. Social support, a significant element of recovery, is given special attention as key to the success of campus recovery programs and houses.     

Gender‐based violence and young homeless women: femininity,embodiment and vicarious physical capital

This article discusses how the gender‐based violence of homelessness contributes to young women engaging in bodily alliances with men as a strategy for physical protection. The embedding of individualized and postfeminist discourses through the conditions of neoliberalism and the structural disadvantage of homelessness have meant that young women are required to adopt self‐regulatory practices and take personal responsibility for their physical safety. Drawing on Bourdieu's social capital theory and its development by Skeggs and Shilling, and based on qualitative research undertaken with fifteen young women who had experienced homelessness in Australia, I suggest that feminine capital is mobilized through necessity by young homeless women through the formation and maintenance of intimate relationships with men to access a sense of safety in an environment that is hostile to the female body. However, as the narratives presented here demonstrate, the value and privilege ascribed to (certain) male bodies is only accessible vicariously to young women, it is inherently precarious, it can undermine access to other types of capital and these intimate relationships can also be a source of gender‐based violence.