The role of line managers in employee career management:an attachment theory perspective

Line managers increasingly play a key role in organizational career development systems, yet few studies have examined the nature of this role or its implications for employee career attitudes and behaviors. In two studies, we used attachment theory to explore this issue. In Study 1, in-depth interviews (N = 20) showed that employees viewed career management as a relational process in which line managers are expected to act as ‘caregiver’ to support individualized career development. Study 2 was a large-scale international survey (N = 891). Participants scoring higher on attachment avoidance in their line manager relationships reported more negative perceptions of career growth opportunities, lower participation in organizational career development activities and higher turnover intentions. Trust in the organization partially mediated the relationship. Theoretical and practical implications for HRM are discussed.

The role of manufacturing and market managers in strategy development:lessons from three companies

According to researchers and managers, there is a lack of agreement between marketing and manufacturing managers on critical strategic issues. However, most of the literature on the subject is anecdotal and little formal empirical research has been done. Three companies are investigated to study the extent of agreement/disagreement between manufacturing and marketing managers on strategy content and process. A novel method permits the study of agreement between the two different functional managers on the process of developing strategy. The findings consistently show that manufacturing managers operate under a wider range of strategic priorities than marketing managers, and that manufacturing managers participate less than marketing managers in the strategy development process. Further, both marketing and manufacturing managers show higher involvement in the strategy development process in the latter stages of the Hayes and Wheelwright four-stage model of manufacturing’s strategic role.

A comparison of sales response predictions from demand models applied to store-level versus panel data

In order to generate sales promotion response predictions, marketing analysts estimate demand models using either disaggregated (consumer-level) or aggregated (store-level) scanner data. Comparison of predictions from these demand models is complicated by the fact that models may accommodate different forms of consumer heterogeneity depending on the level of data aggregation. This study shows via simulation that demand models with various heterogeneity specifications do not produce more accurate sales response predictions than a homogeneous demand model applied to store-level data, with one major exception: a random coefficients model designed to capture within-store heterogeneity using store-level data produced significantly more accurate sales response predictions (as well as better fit) compared to other model specifications. An empirical application to the paper towel product category adds additional insights. This article has supplementary material online.

Drawing association rules between purchases and in-store behavior:an extension of the market basket analysis

Shopping behavior is often exclusively studied through consumer purchases, since they are an easily measurable ouput. Still, the observation of in-store physical behavior (paths, moves and actions) is crucial, as is the quantification of its impact on purchases. Using an innovative PDA tool to precisely record and time stamp consumer’s moves and gestures, we extend the classical Market Basket Analysis (MBA) by integrating this new kind of information. We draw associations not only from purchases but also from in-store consumer moves and actions. We compare results of our new method with classical MBA results and show a significant improvement.

Exploring the link between In-store physical shopping behavior and purchases

Only little research investigates the relationship between consumer purchases and in-store physical shopping behavior, largely because of the difficulty involved with reconciling a precise observation of in-store behavior with a robust statistical analyses of the data. Using an innovative data collection method, this article determines that physical shopping behavior manifests itself along two main dimensions: shopping width (behavioral scope throughout the store) and shopping depth (specific store elements). Both dimensions have strong impacts on purchases: the former tends to influence the number of items bought, and the latter affects the price of purchased items, depending on the product category.

Drawing association rules between purchases and in-store behaviour:an extension of the market basket analysis

Shopping behavior is often exclusively studied through consumer purchases, since they are an easily measurable ouput. Still, the observation of in-store physical behavior (path, moves and actions) is crucial, as is the quantification of its impact on purchases. Using an innovative PDA tool to precisely record and time stamp consumers' moves and actions, we extend the classical Market Basket Analysis (MBA) by integrating this new information: associations between product categories are measured not only from purchases but also from consumer physical behavior. We compare results of our new method with classical MBA results and show a significant improvement.

Corporate governance, managers' independence, exporting, and performance of firms in transition economies

Using data on 157 large companies in Poland and Hungary, this paper employs Bayesian structural equation modeling to examine the relations among corporate governance, managers' independence from owners in terms of strategic decision making, exporting, and performance. Managers' independence is positively associated with firms' financial performance and exporting. In turn, the extent of managers' independence is negatively associated with ownership concentration, but positively associated with the percentage of foreign directors on the firm's board. We interpret these results as indicating that concentrated owners tend to constrain managerial autonomy at the cost of the firm's internationalization and performance, but board participation of foreign stakeholders enhances the firm's export orientation and performance by encouraging executives' decision-making autonomy.

Corporate governance, managers' independence, exporting and performance of firms in transition economies

Using data on 157 large companies in Poland and Hungary this paper employs Bayesian structural equation modeling to examine interrelationships between corporate governance, managers' independence from owners in terms of strategic decision-making, exporting and performance. It is found that managers' independence is positively associated with firms' financial performance and exporting. In turn, the extent of managers' independence is contingent on the firm's corporate governance parameters: it is negatively associated with ownership concentration, but positively associated with the percentage of foreign directors on the firm's board. We interpret these results as an indication that (i) risk averse, concentrated owners tend to constrain managerial autonomy at the cost of the firm's internationalization and performance, (ii) board participation of foreign stakeholders, on the other hand, enhances the firm's export orientation and performance by encouraging executives' decision-making autonomy.

Managers' perceptual errors revisited:the role of knowledge calibration

Insights from the stream of research on knowledge calibration, which refers to the correspondence between accuracy and confidence in knowledge, enable a better understanding of consequences of inaccurate perceptions of managers. This paper examines the consequences of inaccurate managerial knowledge through the lens of knowledge calibration. Specifically, the paper examines the antecedent role of miscalibration of knowledge in strategy formation. It is postulated that miscalibrated managers who overestimate external factors and display a high level of confidence in their estimates are likely to enact strategies that are relatively more evolutionary and incremental in nature, whereas miscalibrated managers who overestimate internal factors and display a high level of confidence in their estimates are likely to enact strategies that are relatively more discontinuous and disruptive in nature. Perspectives from social cognitive theory provide support for the underlying processes. The paper, in part, explains the paradox of the prevalence of inaccurate managerial perceptions and efficacious performance. It also advances the literature on strategy formation through the application of the construct of knowledge calibration.

Estimating the SCAN*PRO model of store sales: HB, FM or just OLS?

In this paper we investigate whether consideration of store-level heterogeneity in marketing mix effects improves the accuracy of the marketing mix elasticities, fit, and forecasting accuracy of the widely-applied SCAN*PRO model of store sales. Models with continuous and discrete representations of heterogeneity, estimated using hierarchical Bayes (HB) and finite mixture (FM) techniques, respectively, are empirically compared to the original model, which does not account for store-level heterogeneity in marketing mix effects, and is estimated using ordinary least squares (OLS). The empirical comparisons are conducted in two contexts: Dutch store-level scanner data for the shampoo product category, and an extensive simulation experiment. The simulation investigates how between- and within-segment variance in marketing mix effects, error variance, the number of weeks of data, and the number of stores impact the accuracy of marketing mix elasticities, model fit, and forecasting accuracy. Contrary to expectations, accommodating store-level heterogeneity does not improve the accuracy of marketing mix elasticities relative to the homogeneous SCAN*PRO model, suggesting that little may be lost by employing the original homogeneous SCAN*PRO model estimated using ordinary least squares. Improvements in fit and forecasting accuracy are also fairly modest. We pursue an explanation for this result since research in other contexts has shown clear advantages from assuming some type of heterogeneity in market response models. In an Afterthought section, we comment on the controversial nature of our result, distinguishing factors inherent to household-level data and associated models vs. general store-level data and associated models vs. the unique SCAN*PRO model specification.

"It's not my fault - but only I can change it":counterfactual and prefactual thoughts of managers

In testing for the self-serving bias in performance evaluation, the authors propose that comparing managers' counterfactual and prefactual thoughts about subordinates' performance is more conclusive than the attributional approach and also offers practical advantages. In a study with 120 managers, a 4-way interaction of subordinate performance, temporal perspective, direction, and reference confirmed the predicted pattern. Managers' thoughts about how a weak performance could have been enhanced had external references, but thoughts about how such a performance could be enhanced in the future focused on the leader. This asymmetry was only observed for weak performance. Results are discussed with regard to biases in leaders' performance evaluations and to how counter- and prefactual thoughts could be used for leadership research and practice.