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The two main purposes of the paper are: first, to provide an empirical test of the widely‐held view among employers that overqualified workers are less committed as evidenced by heightened levels of job search, and second, to evaluate the three explanations of overqualification (matching theory, the theory of differential overqualification, and the career mobility hypothesis) in which job search plays a central role.

Maximum likelihood probit estimation is conducted on a sample of employed Canadians aged 18 and over who were surveyed in 2000. Predictors of job search are derived from the economic assumption that the employee's decision to undertake job search depends on a cost‐benefit assessment.

The empirical results indicate that overqualified workers are more active job searchers, and lend support to the matching theory view that overqualification is sub‐optimal from the worker's perspective.

This paper adds to the small number of European studies exploring the connection between overqualification and job search. The impacts of overqualification are especially important for Canadian employers given the high incidence of overqualification of the Canadian work force.

This study investigates whether cyclical turning points in the U.S. and U.K. stock markets are unevenly distributed over the year, that is, whether they are more likely to occur during certain months of the year. In examining this form of periodic seasonality, a Markov switching‐model is applied to U.S. and U.K. stock market chronologies of monthly peak and trough dates for the periods May 1835 through March 2000 and May 1836 through September 2000, respectively. In order to provide some evidence on robustness with respect to the sample data, results are obtained for the entire sample periods as well as for various sub‐. For both markets, the evidence indicates that while the probability of moving from an expansion to a contraction does not depend on the month of the year, the probability of switching from a contraction is greater for some months. Additionally, the durations of contractions, but not expansions, are dependent on the month of the year in which they begin.

Dynamic advertising, including television and online video ads, demands new theory and tools developed to understand attention to moving stimuli. The purpose of this study is to empirically test the predictions of a new dynamic attention theory, Dynamic Human-Centred Communication Systems Theory, versus the predictions of salience theory.

An eye-tracking study used a sample of consumers to measure visual attention to potential areas of interest (AOIs) in a random selection of unfamiliar video ads. An eye-tracking software feature called intelligent bounding boxes (IBBs) was used to track attention to moving AOIs. AOIs were coded for the presence of static salience variables (size, brightness, colour and clutter) and dynamic attention theory dimensions (imminence, motivational relevance, task relevance and stability).

Static salience variables contributed 90% of explained variance in fixation and 57% in fixation duration. However, the data further supported the three-way interaction uniquely predicted by dynamic attention theory: between imminence (central vs peripheral), relevance (motivational or task relevant vs not) and stability (fleeting vs stable). The findings of this study indicate that viewers treat dynamic stimuli like real life, paying less attention to central, relevant and stable AOIs, which are available across time and space in the environment and so do not need to be memorised.

Despite the limitations of small samples of consumers and video ads, the results of this study demonstrate the potential of two relatively recent innovations, which have received limited emphasis in the marketing literature: dynamic attention theory and IBBs.

This study documents what does and does not attract attention to video advertising. What gets attention according to salience theory (e.g. central location) may not always get attention in dynamic advertising because of the effects of relevance and stability. To better understand how to execute video advertising to direct and retain attention to important AOIs, advertisers and advertising researchers are encouraged to use IBBs.

This study makes two original contributions: to marketing theory, by showing how dynamic attention theory can predict attention to video advertising better than salience theory, and to marketing research, showing the utility of tracking visual attention to moving objects in video advertising with IBBs, which appear underutilised in advertising research.

Derived from field and telephone interviews, e-mail communications, and secondary sources, this two part case describes how Gerald Mahoney, a shoes salesman in a Foley's Department store, is faced with a problem - Macy's has bought out the Foley's chain and, in doing so, has upscale the product line of shoes and altered his commission-based compensation system. These changes have resulted in less sales for Mr. Mahoney and therein lower commission - a difficult situation since he, his wife, and his daughter were barely getting by on his currently salary. Part A of the case describes an opportunity that presents itself to Mr. Mahoney; to leave his current job with a guaranteed low salary with possible additional income from commissions for a job selling residential homes which becomes purely commission-based to start with after three months of a salary plus commission pay that includes job training. In Part B Mr. Mahoney has decided to take the sales job with ABC Home Builders and receives his assignment. He finds that the working conditions of the sales office are not conducive to selling. His office is located in the rear of a trailer that is extremely run down and is paired with a competitive, noncommunicative saleswoman. The case ends with Mr. Mahoney feeling hopeless and alienated.

This two part case has been written primarily for an undergraduate junior level course in career planning or sales management and deals with the issues of recruitment, placement, training, and compensation. The case may also be employed in a course dealing with human resource management (from an individual's perspective), salesmanship, and organizational behavior.

This study aims to investigate the extent to which the presence of chief supply chain officers (CSCOs) in top management teams (TMTs) helps firms to reduce the incidence of product recalls.

The authors identified all recalls for the period 2010–2017 issued by publicly held firms regulated by the US Consumer Product Safety Commission. These data were subsequently combined with information on TMT composition from BoardEx and financial performance data from Compustat to create a unique data set.

The study identified a significant and negative association between CSCO presence and incidence of product recalls. The evidence also supports the conjecture that this association is stronger in larger firms, indicating that CSCOs are especially effective when operating within more complex supply chains.

The findings provide important insights into quality management in contemporary supply chains and indicate that assigning specific responsibility for supply chain management to a TMT member improves product reliability.

These findings contribute to the growing literature on the underlying causes of a product recall by identifying corporate governance antecedents of external quality failures of this kind.

This study addresses an important research question regarding how supplier-base concentration affects buyer efficiency. Drawing on the contradicting views of transaction cost theory (TCT) and resource dependence theory (RDT), the authors explore the main effect of supplier-base concentration on buyer efficiency and how this effect is contingent on buyers' characteristics (i.e. research and development (R&D) expenditure and market share).

Based on data collected from the Chinese manufacturing firms listed on National Equities Exchange and Quotations (NEEQ) between 2015 and 2019, the authors use a fixed-effect model as well as a two-stage least squares model to test the predictions.

The authors find that supplier-base concentration has a positive effect on buyer efficiency. In addition, when a buyer has higher levels of R&D expenditure and market share, the positive relationship between supplier-base concentration and buyer efficiency is strengthened.

This study contributes to a better understanding of the effect of supplier-base concentration. First, the authors provide theoretical and empirical evidence of the positive effect of supplier-base concentration on buyer efficiency. Second, the authors reveal the underlying mechanism of how to counter the potential drawbacks and benefit more from supply base reduction by introducing R&D expenditure and market share as contingencies.

The purpose of this paper is to empirically investigate the relationship among inventory performance, financial performance (FP) and product quality.

The empirical analysis is based on two-stage least squares analysis of detailed firm-transaction data from Chinese manufacturing export firms for the period between 2001 and 2013.

Results show that inventory performance has a positive impact on product quality while using inventory efficiency, inventory productivity and inventory leanness to measure inventory performance. Furthermore, the effect of inventory performance on product quality is found to be partially mediated by FP.

The research provides mangers evidence of the benefits of inventory performance as an antecedent of product quality. Managers without sufficient liquidity or cost advantage to get better FP can achieve product quality improvement through enhancing inventory management performance.

This study first empirically investigates the relationship between inventory performance and product quality, and examines the mediating effect of FP on this relationship.

The topic of organizational learning is populated with many theories and models; many relate to the enduring organizational learning framework consisting of knowledge acquisition, knowledge dissemination, and knowledge use. However, most of the research either emphasizes structural knowledge acquisition and dissemination as a composite construct, or focuses solely on the structural aspect of knowledge acquisition and dissemination. The primary objective of this study is to develop and test a model of organizational learning that incorporates both structural and informal knowledge acquisition and dissemination and as separate processes. The predictors of these processes are also proposed

A model of organizational learning that incorporates both structural and informal knowledge acquisition and dissemination constructs, along with three predictors of these organizational learning constructs were developed and quantitatively tested.

An inference to the research questions and hypotheses suggests that informal knowledge acquisition and dissemination have significant paths to market knowledge use, whereas structural knowledge acquisition and dissemination have, at best, a weak association with market knowledge use. Although the results were based on exploratory analysis, they provide tentative quantitative evidence that informal knowledge processes are at least as important as structural knowledge processes in market‐based organizational learning.

While the hypothesized model did not satisfy the goodness‐of‐fit tests, data‐driven exploratory analysis helped to refine two separate structural and informal models for future testing. The statistical explanation provided and procedures used to remedy the non‐fit issues should help future researchers to deal with structural equation‐modeling issues when similar non‐fit problems arise.

From the intra- and inter-regional dimensions, this paper investigates the linkage between industrial agglomeration and inventory performance, and further demonstrates the moderating role of firm size and enterprise status in the supply chain on this linkage.

Using a large panel dataset of Chinese manufacturers in the Yangtze River Delta for the period from 2008 to 2013, this study employs the method of spatial econometric analysis via a spatial Durbin model (SDM) to examine the effects of industrial agglomeration on inventory performance. Meanwhile, the moderation model is applied to examine the moderating role of two firm-level heterogeneity factors.

At its core, this research demonstrates that industrial agglomeration is associated with the positive change of inventory performance in the adjacent regions, whereas that in the host region as well as in general does not significantly increase. Additionally, both firm size and enterprise status in the supply chain can positively moderate these effects, except for the moderating role of firm size on the positive spillovers.

In view of firm heterogeneity, managers should take special care when matching their abilities of inventory management with the agglomeration effects. Firms with a high level of inventory management are suited to stay in an industrial cluster, while others would be better in the adjacent regions to enhance inventory performance.

This paper is the first to systematically analyze the effects of industrial agglomeration on inventory performance within and across clusters, and confirm that these effects are contingent upon firm size and enterprise status in the supply chain. It adds to the existing literature by highlighting the spatial spillovers from industrial clusters and enriching the antecedents of inventory leanness.