MULTIVARIATE METHODS FOR MONITORING STRUCTURAL CHANGE

Detection of structural change is a critical empirical activity, but continuous ‘monitoring’ for changes in real time raises well‐known econometric issues that have been explored in a single series context. If multiple series co‐break then it is possible that simultaneous examination of a set of series helps identify changes with higher probability or more rapidly than when series are examined on a case‐by‐case basis. Some asymptotic theory is developed for maximum and average CUSUM detection tests. Monte Carlo experiments suggest that these both provide an improvement in detection relative to a univariate detector over a wide range of experimental parameters, given a sufficiently large number of co‐breaking series. This is robust to a cross‐sectional correlation in the errors (a factor structure) and heterogeneity in the break dates. We apply the test to a panel of UK price indices. Copyright © 2011 John Wiley & Sons, Ltd.     

Combination of “combinations of <Emphasis Type="Italic">p</Emphasis> values”

We investigate the impact of an uncertain number of false individual null hypotheses on commonly used p value combination methods. Under such uncertainty, these methods perform quite differently and often yield conflicting results. Consequently, we develop a combination of “combinations of p values” (CCP) test aimed at maintaining good power properties across such uncertainty. The CCP test is based on a simple union–intersection principle that exploits the weak correspondence between two underlying p value combination methods. Monte Carlo simulations show that the CCP test controls size and closely tracks the power of the best individual methods. We empirically apply the CCP test to explore the stationarity in real exchange rates and the information rigidity in inflation and output growth forecasts.     

The power of quality models: The example of the SIQ model for performance excellence

Most contemporary total quality management (TQM) practice is influenced, directly or indirectly, by structured, acontextual and standardized quality models. The present paper focuses on the strategic introduction of one such model, namely the Swedish Institute for Quality (SIQ) model for performance excellence, in a Swedish public-sector organization, which we refer to as ‘the Authority.’ We take our theoretical stance from Foucault's concept of ‘power/knowledge.’ In describing the case, we focus on the management team of one of the Authority's ten regions. Our analysis shows the members of the management team using the SIQ model to objectify both the organization and themselves as managers. However, contrary to many critical or managerial accounts, the SIQ model was not totalizing: management subjectivities changed but were not entirely reconstituted, and some resistance to them was generated by the members of the management team, in their role as professionals.     

Thriving in the New Normal: The HR Microfoundations of Capabilities for Business Model Innovation. An Integrated Literature Review

Firms need to respond to the increasing competition and change of the current New Normal environment by being more innovative, and especially in developing new business models. This paper seeks to explore how microfoundations, particularly with respect to human resource management, play a key role in facilitating innovation in business models through the development of key needed capabilities. Four themes are identified with respect to business model innovation (BMI) in the New Normal: BMI as an enabler to create and operate across industries and product-markets; BMI as a mechanism for firms to better navigate changing institutional landscapes; BMI as giving rise to business model portfolios; and concurrent and cumulative innovations that can lead to BMI. This paper also develops a conceptual framework that presents a synoptic view of the five essential capabilities for BMI, which include analogical reasoning, sensemaking, dynamic capabilities, organisational ambidexterity, and organisational learning. Finally, it is shown how the microfoundations of a bespoke, development-oriented BMI HR architecture can support the advancement of these capabilities and thus contribute to the strategic HR literature.     

An almost ideal demand system for alcoholic beverages in British Columbia

An almost ideal demand system for alcoholic beverages in British Columbia is estimated based on five beverage categories. Estimates of the model unrestricted and restricted to satisfy homogeneity and symmetry are presented. The restrictions are tested: as is common in applied demand analysis a number of rejections are encountered, although within-equation tests tend to support homogeneity. The rejections which are encountered are not mitigated by the inclusion of dynamic elements. The Slutsky matrix is used to examine the concavity of the expenditure function, which is found to be mildly violated. Marshallian and Hicksian own-, cross-price, and income elasticities are calculated and are found to be largely consistent with previous findings, although some noteworthy results are obtained.     

Combining “real effort” with induced effort costs: the ball-catching task

We introduce the “ball-catching task”, a novel computerized task, which combines a tangible action (“catching balls”) with induced material cost of effort. The central feature of the ball-catching task is that it allows researchers to manipulate the cost of effort function as well as the production function, which permits quantitative predictions on effort provision. In an experiment with piece-rate incentives we find that the comparative static and the point predictions on effort provision are remarkably accurate. We also present experimental findings from three classic experiments, namely, team production, gift exchange and tournament, using the task. All of the results are closely in line with the stylized facts from experiments using purely induced values. We conclude that the ball-catching task combines the advantages of real effort tasks with the use of induced values, which is useful for theory-testing purposes as well as for applications.     

Educating business schools about safety & health is no accident

This paper summarizes the consequences of safety and health inattentiveness, and reviews four primary dangers in the workplace. In addition, perspectives of employee health and safety are presented from industry and academia which provide the basis for a strong recommendation to include safety and health issues in business school curricula. Wayne H. Stewart's areas of research and teaching interest include Social Responsibility in Management, Entrepreneurship, and International Business. Wayne is currently on the editorial board of the International Journal of Case Studies, and has published in the Journal of Management Learning, as well as participating in several academic conferences. Donna E. Ledgerwood is currently the Secretary for the Southern Management Association. Donna was President of the Southwest Academy of Management in 1993 and served as the Academy of Management's Director of Exhibits/Publisher Relations and Director of Advertising from 1983–1991. Having written one of the first articles on sexual harassment in 1980, Donna serves on the Editorial Review Board for the Journal of Business Strategies and has published in the Labor Law Journal, the Monthly Labor Review, and the Personnel Administrator. Ruth C. May's areas of expertise are International Business, Business Policy and Strategy and International Human Resource Management. Specializing in the transfer of Western management practices to the former Soviet Union, Ruth is currently involved in the development of training programs and privatization processes in central Russia. She has published in the Academy of Management Executive, Multinational Business Review, and Socialist Labor (Russia).     

Customer satisfaction and customer behavior: The differential role of brand and category expectations

Previous research has suggested that consumers use multiple strands to evaluate their satisfaction with a product and to establish postpurchase behavioral intention. However, prior empirical research has focused on which individual standard best predicts satisfaction. In contrast, this article develops and tests a model of consumer satisfaction and postpurchase behavioral intention in which consumers simultaneously use multiple standards—perceptions of performance, brand expectations, and category expectations. The results of an experiment for a simulated service encounter provide support for the proposition that consumers use multiple standards and that these standards have differential effects on such postpurchase outcomes as satisfaction, repurchase intention, and willingness to recommend. Brand expectations are shown to be better predictors of affective outcomes (such as satisfaction), while category expectations are shown to be better predictors of behavioral outcomes (repurchase and recommendation). Consistent with prior research, perceived performance is shown to have a strong effect on both satisfaction and behavioral intention.