When do high‐level managers believe they can influence the stock price? Antecedents of stock price expectancy cognitions

Stock based rewards are often used to motivate high‐level managers to take actions to increase the stock price of the firm. However, numerous constraints may weaken the perceived link between individual effort and stock price appreciation for many recipients. This study introduces a new construct, stock price expectancy, which we define as individuals' perceptions of influence over their firm's stock price. We examined its antecedents in a sample of 349 high‐level U.S. managers and found that employment at corporate headquarters, firm size, hierarchical level, and contact with investment analysts predicted stock price expectancy perceptions. © 2010 Wiley Periodicals, Inc.     

Bootstrapping I(1) data

A functional law is given for an I(1) sample data version of the continuous-path block bootstrap of Paparoditis and Politis (2001a). The results provide an alternative demonstration that continuous-path block bootstrap unit root tests are consistent under the null.     

A systematic review of cost-effectiveness modeling of pharmaceutical therapies in neuropathic pain: variation in practice,key challenges,and recommendations for the future

Objectives: Complexities in the neuropathic-pain care pathway make the condition difficult to manage and difficult to capture in cost-effectiveness models. The aim of this study is to understand, through a systematic review of previous cost-effectiveness studies, some of the key strengths and limitations in data and modeling practices in neuropathic pain. Thus, the aim is to guide future research and practice to improve resource allocation decisions and encourage continued investment to find novel and effective treatments for patients with neuropathic pain.

Methods: The search strategy was designed to identify peer-reviewed cost-effectiveness evaluations of non-surgical, pharmaceutical therapies for neuropathic pain published since January 2000, accessing five key databases. All identified publications were reviewed and screened according to pre-defined eligibility criteria. Data extraction was designed to reflect key data challenges and approaches to modeling in neuropathic pain and based on published guidelines.

Results: The search strategy identified 20 cost-effectiveness analyses meeting the inclusion criteria, of which 14 had original model structures. Cost-effectiveness modeling in neuropathic pain is established and increasing across multiple jurisdictions; however, amongst these studies, there is substantial variation in modeling approach, and there are common limitations. Capturing the effect of treatments upon health outcomes, particularly health-related quality-of-life, is challenging, and the health effects of multiple lines of ineffective treatment, common for patients with neuropathic pain, have not been consistently or robustly modeled.

Conclusions: To improve future economic modeling in neuropathic pain, further research is suggested into the effect of multiple lines of treatment and treatment failure upon patient outcomes and subsequent treatment effectiveness; the impact of treatment-emergent adverse events upon patient outcomes; and consistent and appropriate pain measures to inform models. The authors further encourage transparent reporting of inputs used to inform cost-effectiveness models, with robust, comprehensive and clear uncertainty analysis and, where feasible, open-source modeling is encouraged.     

A two-stage realized volatility approach to estimation of diffusion processes with discrete data

This paper motivates and introduces a two-stage method of estimating diffusion processes based on discretely sampled observations. In the first stage we make use of the feasible central limit theory for realized volatility, as developed in [Jacod, J., 1994. Limit of random measures associated with the increments of a Brownian semiartingal. Working paper, Laboratoire de Probabilities, Universite Pierre et Marie Curie, Paris] and [Barndorff-Nielsen, O., Shephard, N., 2002. Econometric analysis of realized volatility and its use in estimating stochastic volatility models. Journal of the Royal Statistical Society. Series B, 64, 253–280], to provide a regression model for estimating the parameters in the diffusion function. In the second stage, the in-fill likelihood function is derived by means of the Girsanov theorem and then used to estimate the parameters in the drift function. Consistency and asymptotic distribution theory for these estimates are established in various contexts. The finite sample performance of the proposed method is compared with that of the approximate maximum likelihood method of [Aït-Sahalia, Y., 2002. Maximum likelihood estimation of discretely sampled diffusion: A closed-form approximation approach. Econometrica. 70, 223–262].     

Economic transition and growth

Some extensions of neoclassical growth models are discussed that allow for cross‐section heterogeneity among economies and evolution in rates of technological progress over time. The models offer a spectrum of transitional behavior among economies that includes convergence to a common steady‐state path as well as various forms of transitional divergence and convergence. Mechanisms for modeling such transitions, measuring them econometrically, assessing group behavior and selecting subgroups are developed in the paper. Some econometric issues with the commonly used augmented Solow regressions are pointed out, including problems of endogeneity and omitted variable bias which arise under conditions of transitional heterogeneity. Alternative regression methods for analyzing economic transition are given which lead to a new test of the convergence hypothesis and a new procedure for detecting club convergence clusters. Transition curves for individual economies and subgroups of economies are estimated in a series of empirical applications of the methods to regional US data, OECD data and Penn World Table data. Copyright © 2009 John Wiley & Sons, Ltd.     

Utilizing a Value of Information Framework to Improve Ore Collection and Classification Procedures

This case study utilizes a value of information decision framework to provide mine managers guidance regarding the purchase of ore grade scanners. LKAB's Kiruna mine produces three types of iron ore to meet long-term contractual agreements on a monthly basis. There is a priori uncertainty regarding the ore type in any given mineable section of the orebody. In addition, there is extracted ore type uncertainty that is introduced by the mining process. These uncertainties are better understood by obtaining more precise (real-time) information. In addition, a better understanding of the uncertainties can improve the quality of operational decisions and increase the overall profitability of the mine. This case study provides a framework for measuring the economic impact of information purchases in a mining context and discusses the implications of those findings.     

Transfer of Marketing Knowledge Within Business‐Nonprofit Collaborations

Companies often develop collaborative joint ventures with nonprofits, and sometimes help their nonprofit partners with the marketing activities associated with these projects. Often, the assistance furnished is embodied in a transfer of knowledge from a firm to a nonprofit and involves knowledge about marketing techniques, strategies and methods. This article presents the results of a survey concerning the extents, natures and effectiveness of marketing knowledge transfers taking place between 291 UK enterprises and their nonprofit partner organisations. The survey covered the knowledge transfer methods that companies employed, the scope of the knowledge communicated, the factors that encouraged or impeded marketing knowledge transfer, and the considerations that determined which partner completed most of the marketing tasks associated with a project. It emerged that knowledge transfers occurred mainly through face‐to‐face communications, though with little formal teamworking. Both the extent and the effectiveness of transfers depended on the degree of marketing knowledge within the nonprofit partner, on levels of knowledge specificity and project complexity, and on the financial importance of the collaboration. The extent of knowledge transfer was additionally influenced by cultural and organisational distance. Similar considerations affected commercial partners' decisions to do most of the marketing work required by a collaboration. Such decisions were especially likely if anti‐marketing bias existed within the nonprofit organisation and if the nonprofit's staff knew little about marketing.     

Hear nothing,do nothing: The role of word of mouth in the decision-making of older consumers

Abstract

In some product categories, older consumers (aged 65+) tend to be more brand loyal, have smaller consideration sets and defer purchase more than younger consumers. This conservative behaviour may arise, in part, because older people are more socially isolated and thus receive less social influence relating to product options. In this multi-study research, the volume of word of mouth (WOM) is used as an indicator of social influence. The WOM received by men and women falls substantially beyond age 65, indicating that a deficit in advice may be part of the explanation for conservative decision-making. To test this proposition, the duration of customer tenure of the current brand (how long the respondent has been a customer) is used as a measure of purchase deferral and, as predicted, tenure is longer when less WOM is received. This evidence indicates that some older consumers experience a degree of social isolation, which affects their decision-making. In marketing and social policy, there is a need to promote procedures, technologies and institutions that help older people to connect with others.     

Building entrepreneurial tie portfolios through strategic homophily: The role of narrative identity work in venture creation and early growth

In this article, we present the results of a case study of an entrepreneur who successfully founded and grew a venture underpinned by a portfolio of strongly homophilous, dyadic ties. Building on our case, we discuss how the entrepreneur strategically constructed these ties through a form of narrative identity work, explore the shared identity narratives that he used to do so, and highlight the heterogeneous nature of the resulting tie portfolio. We go on to explore the factors that motivated the entrepreneur to purposefully construct an entrepreneurial tie portfolio in this way. Building on our findings, we discuss the nature of narrative identity work and its role in creating homophilous ties, explore the connection between the resulting shared identity narratives and trust, and discuss the central role of values in strategic homophily.     

Collaboration at work: An integrative multilevel conceptualization

The term collaboration has been used throughout a variety of research disciplines to describe multiple types of interaction; yet, a unified, comprehensive definition of the construct remains elusive. This lack of clarity regarding the distinctions and commonalities between collaboration and other interaction concepts has resulted in conceptual confusion that affects practice and research in human resource management. Practitioners see collaboration as more of a buzzword than as an effective human resource strategy. Previous theory development efforts have not yet taken a comprehensive multidisciplinary approach. This has resulted in failure to integrate key themes across disciplines into an overall view of collaboration, which is a commonplace practice in business and military sectors alike. This paper describes a multidisciplinary conceptualization of collaboration and discusses the implications of this integrative theory to human resource management and strategy development as well as future research efforts.