Target‐Setting,Pay for Performance,and Quality Improvement: A Case Study of Ontario Hospitals’ Quality‐Improvement Plans

This study examines whether difficult targets and quality indicators in executives' pay‐for‐performance (P4P) plans affect performance. The impact of target‐setting and P4P plans on quality improvement in the public sector is unclear. The Ontario government initiated the Quality Improvement Plan (QIP), which requires hospitals to set targets for quality indicators annually and link executive pay to target achievement since 2011. Analyzing Health Quality Ontario's database and hospitals' 2012–2013 QIPs, this study shows greater quality improvement in hospitals with difficult targets than hospitals with easy targets or without assigned targets; however, the positive impact disappears for high‐performance hospitals relative to their peers. We find no significant effect of the use of quality indicators in executives' P4P plans on quality improvement. Copyright © 2018 ASAC. Published by John Wiley & Sons, Ltd.     

How Can We Better Understand Current and Future Workforce Values in the Global Business Environment?

Our study tested the predictive power of socioeconomic development theory and age differences theory to explain work values across cultures and across age groups. We compared the values orientations of future managers, business students under the age of 25, with those of current managers and professionals, who we split into three decade groups (30 to 39, 40 to 49, and 50 to 59). Our respondents (n = 1,518) come from six diverse societies: Brazil, Germany, Indonesia, Russia, the United States, and Vietnam. Our findings indicate that both theories contribute to our understanding of work values and behaviors. One implication is that while socioeconomic development theory makes an important contribution, it is clearly not sufficient by itself to explain work values/behavior differences in the global context. The study findings and the discussion of them will hopefully provide multinational managers with a clearer assessment of current and future workforce values/behavior. © 2012 Wiley Periodicals, Inc.     

Intended brand associations: Do they really drive consumer response?

Brand managers exhibit considerable effort to define intended brand associations to anchor in consumers' minds. They follow a credo deeply rooted in branding literature: intended brand associations drive consumer response and brand equity. This article investigates the benefits of a strong overlap of actual consumer brand associations and management-intended brand associations (brand association match). The article presents results from two large-scale studies (3353 and 1201 respondents) involving one consumer goods and one service brand with multiple operationalizations of consumer response (attitudinal and behavioral). The results show that consumers with high brand association match show more positive brand response. However, after accounting for the valence of associations match does not add explanatory power. This outcome challenges a key foundation of brand management. The discussion identifies reasons why match may not be necessary to achieve response and provides arguments why the results do not imply free play for brand managers.     

Branded product information search on the Web: The role of brand trust and credibility of online information sources

Drawing upon the cost–benefit framework and trust mechanism as a risk reducer, this study examines the influence of brand factors and source credibility on branded product information Web searches. The online survey was conducted within the pre-purchase context of digital camera brands. The results revealed that brand factors did not influence overall branded information search efforts. However, brand trust and source credibility appeared to influence the different types of online information sources sought.     

Dating and forecasting turning points by Bayesian clustering with dynamic structure: a suggestion with an application to Austrian data

The information contained in a large panel dataset is used to date historical turning points and to forecast future ones. We estimate groups of series with similar time series dynamics and link the groups with a dynamic structure. The dynamic structure identifies a group of leading and a group of coincident series. Robust results across data vintages are obtained when series‐specific information is incorporated in the design of the prior group probability distribution. The forecast evaluation confirms that the Markov switching panel with dynamic structure performs well when compared to other specifications. Copyright © 2009 John Wiley & Sons, Ltd.     

Stochastic model specification search for Gaussian and partial non-Gaussian state space models

Model specification for state space models is a difficult task as one has to decide which components to include in the model and to specify whether these components are fixed or time-varying. To this aim a new model space MCMC method is developed in this paper. It is based on extending the Bayesian variable selection approach which is usually applied to variable selection in regression models to state space models. For non-Gaussian state space models stochastic model search MCMC makes use of auxiliary mixture sampling. We focus on structural time series models including seasonal components, trend or intervention. The method is applied to various well-known time series.     

Industrial relations and organizational behaviour: a critical appraisal1

This paper is concerned with the growth and development of two fields of study which are customarily separated in both theory and practice. Those who specialize in one area, whether as students, teachers or research workers, are not necessarily familiar with, or required to learn, the state of knowledge in the other, although, as we shall show, there is a considerable commonality of interest. To some extent, this situation is an accident of history and the first part of this paper deals with the events and influences leading to the emergence of each field of study. In the second part, common strands and factors leading to the convergence of the two fields are considered. The third section examines the “state of the art” and evaluates current strengths and weaknesses. Finally, an appraisal is made of the direction of likely future trends.     

COGNITIVE MAPPING AND REPERTORY GRIDS FOR QUALITATIVE SURVEY RESEARCH: SOME COMPARATIVE OBSERVATIONS

A study of business strategy was carried out in 86 organizations in the crop protection industry. A multi-operational approach was used to enable validation of data by triangulation, including cognitive mapping used in an unusual way. This provided an unintended opportunity to conduct a comparative evaluation of interactive investigational methods in a relatively controlled, if unsophisticated manner. Results were interesting enough to suggest that further investigation is needed into the impact of various subject-generated factors such as face validity on methodological effectivness, as well as more traditional criteria such as construct validity of particular methods. Accordingly, process issues affecting repertory grids, cognitive mapping and software for the analysis of cognitive maps (COPE) are described and discussed. Recommendations are made for improvements to mapping and software and further studies suggested.