More thinking on research methods for the resource‐based perspective

We re‐examine the benefits of using a broader set of research methods to address key questions associated with the resource‐based view (RBV) of the firm. In responding to Levitas and Chi, we consider how research inside organizations can complement and augment research relying on secondary data. Copyright © 2002 John Wiley & Sons, Ltd.     

Who Has the Time? Community College Students’ Time-Use Response to Financial Incentives

We evaluate the effect of performance-based scholarship programs for post-secondary students on student time use and effort and whether these effects are different for students we hypothesize may be more or less responsive to incentives. To do so, we administered a time-use survey as part of a randomized experiment in which community college students in New York City were randomly assigned to be eligible for a performance-based scholarship or to a control group that was only eligible for the standard financial aid. This paper contributes to the literature by attempting to get inside the “black box” of how students respond to a monetary incentive to improve their educational attainment. We find that students eligible for a scholarship devoted more time to educational activities, increased the quality of effort toward and engagement with their studies, and allocated less time to leisure. Additional analyses suggest that students who were plausibly more myopic (place less weight on future benefits) were more responsive to the incentives, but we find no evidence that students who are arguably more time constrained were less responsive to the incentives.

     

Fishing and consumption patterns of anglers adjacent to the Oak Ridge Reservation,Tennessee: higher income anglers ate more fish and are more at risk

The risks from consuming self‐caught fish are receiving international attention because of high levels of contaminants in some species. The ethnic, income, and educational differences in fishing and fish consumption patterns of 202 anglers fishing along the Clinch River arm of Watts Bar Reservoir adjacent to the US Department of Energy's Oak Ridge Reservation (ORR) or along Poplar Creek within ORR boundaries were analyzed to understand how to design a risk communication strategy. Because of elevated PCB concentrations in striped bass (Morone saxatilis), catfish (Ictalurus spp.), and sauger (Stizostedion canadense) due partly from contaminants released from the ORR in East Tennessee, the Clinch River arm of Watts Bar Reservoir is under a fish consumption advisory, while portions of Poplar Creek are under advisories because of mercury. Most studies find that a high proportion of anglers eat their catch, and people with lower incomes and less education generally eat more self‐caught fish than others fishing in the same region. Calculating fish consumption individually for each person indicated that a considerable number of people ate more fish from the study area than the amount used to calculate risks when developing fish consumption advisories, and people who ate fish more often usually ate larger portions. Unlike previous studies of fish consumption, this study indicated that a smaller proportion of anglers ate their fish, and those that ate the most were the high income anglers for this fishing population, rather than those with lower incomes. This suggests that risk communication strategies must include site‐specific information on the population at risk from fish consumption, and that targeting only low income, low education anglers will miss some people who are most at risk.     

Life course pathways to business start-up

We explore how socially embedded life courses of individuals within Britain affect the resources they have available and their capacity to apply those resources to start-up. We propose that there will be common pathways to entrepreneurship from privileged resource ownership and test our propositions by modelling a specific life course framework, based on class and gender. We operationalize our model employing 18 waves of the British Household Panel Survey and event history random effect logistic regression modelling. Our hypotheses receive broad support. Business start-up in Britain is primarily made from privileged class backgrounds that enable resource acquisition and are a means of reproducing or defending prosperity. The poor avoid entrepreneurship except when low household income threatens further downward mobility and entrepreneurship is a more attractive option. We find that gendered childcare responsibilities disrupt class-based pathways to entrepreneurship. We interpret the implications of this study for understanding entrepreneurship and society and suggest research directions.     

Setting realistic expectations for publishing in leading accounting research journals

At most colleges and universities, an accounting academic's publication record is a primary consideration in promotion and tenure decisions. Many institutions encourage and expect faculty members to publish in leading accounting research journals. No longer limited to institutions with strong research orientations, these expectations often become an informal part of promotion and tenure guidelines at other colleges and universities. This article evaluates the use of such criteria in light of a five-year study (1978–1982) of several attributes of academics who have published in two leading research journals, The Accounting Review and The Journal of Accounting Research. The objective is to initiate dialogue and promote reasonable expectations among and between accounting faculty and administrators.     

Co-calibrating quality-of-life scores from three pulmonary disorders: implications for comparative-effectiveness research

Background Efficient use of health resources requires accurate outcome assessment. Disease-specific patient-reported outcome (PRO) measures are designed to be highly relevant to patients with a specific disease. They have advantages over generic PROs that lack relevance to patient groups and miss crucial impacts of illness. It is thought that disease-specific measurement cannot be used in comparative effectiveness research (CER). The present study provides further evidence of the value of disease-specific measures in making valid comparisons across diseases.

Methods The Asthma Life Impact Scale (ALIS, 22 items), Living with Chronic Obstructive Pulmonary Disease (LCOPD, 22 items) scale, and Cambridge Pulmonary Hypertension Outcome Review (CAMPHOR, 25 items) were completed by 140, 162, and 91 patients, respectively. The three samples were analyzed for fit to the Rasch model, then combined into a scale consisting of 58 unique items and re-analyzed. Raw scores on the three measures were co-calibrated and a transformation table produced.

Results The scales fit the Rasch model individually (ALIS Chi² probability value (p-Chi²)?=?0.05; LCOPD p-Chi^2?=^?0.38; CAMPHOR p-Chi^2?=^?0.92). The combined data also fit the Rasch model (p-Chi^2?=^?0.22). There was no differential item functioning related to age, gender, or disease. The co-calibrated scales successfully distinguished between perceived severity groups (p?<?0.001).

Limitations The samples were drawn from different sources. For scales to be co-calibrated using a common item design, they must be based on the same theoretical construct, be unidimensional, and have overlapping items.

Conclusions The results showed that it is possible to co-calibrate scores from disease-specific PRO measures. This will permit more accurate and sensitive outcome measurement to be incorporated into CER. The co-calibration of needs-based disease-specific measures allows the calculation of γ scores that can be used to compare directly the impact of any type of interventions on any diseases included in the co-calibration.     

Towards a General Managerial Framework for Performance Measurement: A Comprehensive Highway Maintenance Application

This paper describes the application of Data Envelopment Analysis (DEA) to a highway maintenance setting, using measures of inputs, outputs and outcomes reported by New Zealand local authorities. A general framework of performance measurement is developed and illustrated through application to the highway setting. The framework encompasses a performance pyramid embodying multiple-perspectives of the organisation with a structure of measures linking critical success factors to process drivers, methods of data analysis and influencing factors such as professional culture. Distinctions between measures of outcome, output and input enable finer partitioning of analyses into managerial notions of efficiency, effectiveness and economy. The impact of environmental factors on efficiency is explored through two approaches suggested in the literature.     

Effects of structural,relational and cognitive social capital on resource acquisition: a study of entrepreneurs residing in multiply deprived areas

ABSTRACT

Emerging research demonstrates that structural social capital facilitates the resource acquisition of entrepreneurs residing in multiply deprived areas. However, their usage of relational and cognitive social capital that translates to accessible resources is not well understood. We contribute to knowledge and comprehensively examine effects of structural, relational and cognitive social capital taken together on the resource acquisition of entrepreneurs residing in multiply deprived areas. Results from a national survey of entrepreneurs residing in multiply deprived areas across England show that large networks, bonding ties, trust, reciprocity, obligations and expectations, and shared language and codes facilitate their resource acquisition. Also, we demonstrate that they are reluctant or unable to bridge social distance and adopt narrative storytelling. Furthermore, the results indicate that entrepreneurs residing in multiply deprived areas in the most deprived regions suffer from less resource acquisition.     

Data Envelopment Analysis: A Practical Tool to Measure Performance

This paper describes a productivity method, data envelopment analysis (DEA), and how it can be used to measure performance using multiple performance measures. DEA compares organisations or parts of organisations that share common goals and use similar resources to produce similar products, and calculates the technical efficiency with which firms convert bundles of inputs into bundles of outputs. DEA has been used in both public and private settings, and the paper describes some of its applications within Australasia. A case study of New Zealand dairy farms is used to demonstrate the benchmarking capability of DEA. While built upon solid theoretical foundations, DEA is essentially a practical tool that can be used by academics for research as well as by managers and practitioners for improved performance measurement and accountability.     

Categorical and continuous non-discretionary variables in data envelopment analysis: a comparison of two single-stage models

Non-discretionary or environmental variables are regarded as important in the evaluation of efficiency in Data Envelopment Analysis (DEA), but there is no consensus on the correct treatment of these variables. This paper compares the performance of the standard BCC model as a base case with two single-stage models: the Banker and Morey (1986a) model, which incorporates continuous environmental variables and the Banker and Morey (1986b) model, which incorporates categorical environmental variables. Simulation analyses are conducted using a shifted Cobb-Douglas function, with one output, one non-discretionary input, and two discretionary inputs. The production function is constructed to separate environmental impact from managerial inefficiency, while providing measures of both for comparative purposes. Tests are performed to evaluate the accuracy of each model. The distribution of the inputs, the sample size and the number of categories for the categorical model are varied in the simulations to determine their impact on the performance of each model. The results show that the Banker and Morey models should be used in preference to the standard BCC model when the environmental impact is moderate to high. Both the continuous and categorical models perform equally well but the latter may be better suited to some applications with larger sample sizes. Even when the environmental impact is slight, the use of a simple two-way split of the sample data can produce significantly better results under the Categorical model in comparison to the BCC model.