Alison M. Konrad  Mark E. Moore  Eddy S. W. Ng  Alison J. Doherty  Katherine Breward 《英国管理杂志》2013,24(3):367-382

This study examines whether employment status and workplace accommodations are associated with perceived well‐being among workers with disabilities. Data from the 2006 Participation and Activity Limitation Survey conducted by Statistics Canada were used to test the relationship between employment status, receipt of workplace accommodations and well‐being. Findings indicated that fully utilized permanent employees showed greater life satisfaction and less perceived disability‐related discrimination than either temporary workers or permanent workers who were underemployed. These findings support the theory that inadequate employment is associated with deleterious effects on employee well‐being due to inferior need fulfilment and reduced social status. Workplace accommodations were associated with higher levels of well‐being for all workers with disabilities and helped to mitigate the negative effects of temporary status and underemployment. These findings supported the theoretical extension of main effect and buffering models of workplace stress to the prediction of perceived workplace discrimination.  相似文献   

    

Alan M. Rugman  Chang Hoon Oh 《英国管理杂志》2013,24(4):463-479

Much of the literature in international business analysing the multinational enterprise uses the country as the relevant environmental parameter. This paper presents both theoretical and empirical evidence to demonstrate that country‐level analysis now needs to be augmented by analysis at the ‘regional’ level of the broad triad markets of Europe, North America and the Asia Pacific. The great majority of the world's 500 largest firms concentrate their activities within their home region of the triad. This study uses variance component analysis and finds that this home region effect outperforms the country effect. Together, the regional and industry effects explain most of the geographic expansion of multinational enterprises (MNEs), whereas country, firm and year effects are very minor. The new data and variance component analysis on the activities of large MNEs reported here suggest that new thinking is required about the importance of large regions of the triad as the relevant unit of analysis for business strategy to supplement the conventional focus on the country.  相似文献   

    

Derya Eren. Akyol  Ren B. M. De Koster 《Production and Operations Management》2013,22(3):739-751

Urban freight contributes significantly to pollution, noise disturbance, traffic congestion, and safety problems in city centers. In many cities, local governments have introduced policy measures, in particular time‐access restrictions, to alleviate these problems. However, setting time windows is very challenging due to the conflicting interests and objectives of the stakeholders involved. In this article, we examine whether it is possible to develop time‐window policies that enhance environmental sustainability and distribution efficiencies, while meeting the objectives of the municipalities. We develop a framework for balancing retailer (costs), municipality (satisfaction), and environmental (emissions) objectives, using data envelopment analysis, under different urban time‐window policies. The approach is illustrated by a case study of three Dutch retail organizations, with a large number of stores affected by such time windows. On the basis of an evaluation of 99 different time‐window policies, our results show that harmonizing time windows between neighboring cities leads to the best overall performance. The currently used time‐window policy appears to perform reasonably well, but can be improved on all dimensions . However, harmonizing time‐window policies may be difficult to realize in practice.  相似文献   

    

Kris M. Jamsen  Lyle C. Gurrin 《Australian & New Zealand Journal of Statistics》2012,54(3):393-393

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Carey E. Priebe  Jeffrey L. Solka  David J. Marchette  Avory C. Bryant 《Statistical Analysis and Data Mining》2012,5(3):178-186

‘The identification of potential breakthroughs before they happen’ is a vague data analysis problem and ‘the scientific literature’ is a massive, complex dataset. Hence QHS for MTS might seem to be prototypical of the data miner's lament: ‘Here's some data we have… can you find something interesting?’ Nonetheless, the problem is real and important, and we develop an innovative statistical approach thereto—not a final etched‐in‐stone approach, but perhaps the first complete quantitative methodology explicitly addressing QHS for MTS. © 2012 Wiley Periodicals, Inc. Statistical Analysis and Data Mining5: 178–186, 2012  相似文献   

    

S. Ejaz Ahmed  S.M. Enayetur Raheem 《Wiley Interdisciplinary Reviews: Computational Statistics》2012,4(6):541-553

In predicting a response variable using multiple linear regression model, several candidate models may be available which are subsets of the full model. Shrinkage estimators borrow information from the full model and provides a hybrid estimate of the regression parameters by shrinking the full model estimates toward the candidate submodel. The process introduces bias in the estimation but reduces the overall prediction error that offsets the bias. In this article, we give an overview of shrinkage estimators and their asymptotic properties. A real data example is given and a Monte Carlo simulation study is carried out to evaluate the performance of shrinkage estimators compared to the absolute penalty estimators such as least absolute shrinkage and selection operator (LASSO), adaptive LASSO and smoothly clipped absolute deviation (SCAD) based on prediction errors criterion in a multiple linear regression setup. WIREs Comput Stat 2012, 4:541–553. DOI: 10.1002/wics.1232 This article is categorized under:

• Statistical Learning and Exploratory Methods of the Data Sciences > Modeling Methods
• Statistical Models > Linear Models

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Daniel J. Graham  James M. Hughes  Helmut Leder  Daniel N. Rockmore 《Wiley Interdisciplinary Reviews: Computational Statistics》2012,4(2):115-123

In the field of literature, there is an established set of techniques that have been successfully leveraged in the statistical analysis of literary style, most often to answer questions of authenticity and attribution. With the digitization of huge troves of art images come significant opportunities for the development of statistical techniques for the analysis of artistic style. In this article, we suggest that the progress made and statistical techniques developed in understanding visual processing as it relates to natural scenes can serve as a useful model and inspiration for visual stylometric analysis. WIREs Comput Stat 2012, 4:115–123. doi: 10.1002/wics.197 This article is categorized under:

• Statistical Learning and Exploratory Methods of the Data Sciences > Pattern Recognition
• Applications of Computational Statistics > Psychometrics
• Applications of Computational Statistics > Signal and Image Processing and Coding

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William F. Wieczorek  Alan M. Delmerico  Peter A. Rogerson  David W.S. Wong 《Wiley Interdisciplinary Reviews: Computational Statistics》2012,4(1):67-74

Geographic areas of different sizes and shapes of polygons that represent counts or rate data are often encountered in social, economic, health, and other information. Often political or census boundaries are used to define these areas because the information is available only for those geographies. Therefore, these types of boundaries are frequently used to define neighborhoods in spatial analyses using geographic information systems and related approaches such as multilevel models. When point data can be geocoded, it is possible to examine the impact of polygon shape on spatial statistical properties, such as clustering. We utilized point data (alcohol outlets) to examine the issue of polygon shape and size on visualization and statistical properties. The point data were allocated to regular lattices (hexagons and squares) and census areas for zip‐code tabulation areas and tracts. The number of units in the lattices was set to be similar to the number of tract and zip‐code areas. A spatial clustering statistic and visualization were used to assess the impact of polygon shape for zip‐ and tract‐sized units. Results showed substantial similarities and notable differences across shape and size. The specific circumstances of a spatial analysis that aggregates points to polygons will determine the size and shape of the areal units to be used. The irregular polygons of census units may reflect underlying characteristics that could be missed by large regular lattices. Future research to examine the potential for using a combination of irregular polygons and regular lattices would be useful. WIREs Comp Stat 2012, 4:67–74. doi: 10.1002/wics.196 This article is categorized under:

• Statistical Learning and Exploratory Methods of the Data Sciences > Clustering and Classification
• Statistical Learning and Exploratory Methods of the Data Sciences > Exploratory Data Analysis

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Brian S. Anderson  Jeffrey G. Covin  Dennis P. Slevin 《Strategic Entrepreneurship Journal》2009,3(3):218-240

This research explores the relationship between strategic learning capability—a firm's proficiency at generating, and then acting on, strategic knowledge—and entrepreneurial orientation (EO). While theory posits the inevitably of building strategic learning capability from behaving entrepreneurially, there is little empirical research to validate this proposition and even less understanding of how and why EO contributes to strategic learning capability. Empirical results from 110 manufacturing firms confirm the direct effect of EO on strategic learning capability, and support is found for three constructs—structural organicity, market responsiveness, and strategy formation mode—that fully mediate the EO‐strategic learning capability relationship. Copyright © 2009 Strategic Management Society.  相似文献   

    

M. P. Wand 《Australian & New Zealand Journal of Statistics》2009,51(1):9-41

Semiparametric regression models that use spline basis functions with penalization have graphical model representations. This link is more powerful than previously established mixed model representations of semiparametric regression, as a larger class of models can be accommodated. Complications such as missingness and measurement error are more naturally handled within the graphical model architecture. Directed acyclic graphs, also known as Bayesian networks, play a prominent role. Graphical model-based Bayesian 'inference engines', such as bugs and vibes , facilitate fitting and inference. Underlying these are Markov chain Monte Carlo schemes and recent developments in variational approximation theory and methodology.  相似文献