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Adding oil to a portfolio of stocks and bonds?Business practitioners increasingly seem to believe in the power of goal-based labels (i.e., labels that link assortment items to consumption goals). While previous literature has focused on feature-based approaches to increase choice satisfaction, we introduce goal-based labeling as a consumer-based approach to increase choice satisfaction. Since goal-based labels (e.g., a “Family Trip” camera versus a “Professional” camera) relate choice alternatives directly to consumption goals, they allow consumers to bypass translating product attributes into goal attainment. Quantitative and qualitative results of an experimental study indicate that novice consumers, but not experts, benefit from goal-based labeling in multiple ways. Novice consumers use goal-based labels as an important cue in their decision making. This can significantly increase their chances at making an optimal choice. Choosing from a goal-based labeled assortment also has a positive effect on the choice satisfaction of novices. Mediation analyses show that a decrease in the choice uncertainty drives the positive effect of goal-based labeling on choice satisfaction. Novices apparently do not blindly follow the labels that are provided but try to understand the link between labels and attributes. Hence, among novices, inaccurately labeled assortments not only result in suboptimal choice but also in higher uncertainty and lower satisfaction. For experts, goal-based labeling is largely irrelevant, as it does not have an effect on their choice satisfaction, nor on their likelihood to make an optimal choice.
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Adding value and HRM practice: evidence-based HRWe argue that although HR has a lot of tools and practices, it still lacks an overarching decision science that defines how organizations can obtain strategic success through their human resources. In order to support companies’ informed HRM decision-making, we recommend establishing a tradition of evidencebased HR practices. Evidence-based HR is a family of practices, combining research evidence with contextual information and individual judgment of HR professionals as essential sources of information. After having reviewed implications for HR practice from scholarly work, economic and societal trends as well as business tools from other managerial domains, we discuss the potential of Talentship as an evidence-based decision science and as a first step towards a general way of thinking to support HR decisions. As such, we believe the present chapter provides a significant contribution to the insights of practitioners and scholars into the further development towards evidencebased HR.
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An effective board makes the necessary trade-offsThe objective of this paper is to investigate the impact that individual raters have on maturity assessments of organizations in the particular context of business process management (BPM). The hypotheses tested relate to the extent of the impact of individuals on maturity score variances and with the enforcing effect of organizational size on the disagreement among employees within organizations. Eight multilevel random-effects analyses for eight separate maturity dimensions clarify the intra-class correlation (agreement) within organizations. The analyses are based on a data set with a strictly hierarchical two-level data structure of employees (1755) nested within organizations (61). Results show that variance within organizations is significantly larger than zero and is even more important than variance between organizations. We conclude that a large individual background effect exists when rating an organization's business process maturity. In addition, we find that the larger the organizations are, the more disagreement within organizations is visible. Copyright © 2012 John Wiley & Sons, Ltd.