Some results about averaging in stochastic approximation

The paper presents some results concerning the averaging approach in a general linear regression model in one dimension under suitable conditions about the martingale structure of errors. At first asymptotics of the primary and averaged estimators are discussed. Then it is shown that variances of estimators can be consistently estimated by appropriate integrated squared deviations functionals. Finally applications to the construction of confidence regions are considered.     

Ranking efficiency units in DEA using bootstrapping an applied analysis for Slovenian farm data

This article explores how data envelopment analysis (DEA), along with a smoothed bootstrap method, can be used in applied analysis to obtain more reliable efficiency rankings for farms. The main focus is the smoothed homogeneous bootstrap procedure introduced by Simar and Wilson (1998) to implement statistical inference for the original efficiency point estimates. Two main model specifications, constant and variable returns to scale, are investigated along with various choices regarding data aggregation. The coefficient of separation (CoS), a statistic that indicates the degree of statistical differentiation within the sample, is used to demonstrate the findings. The CoS suggests a substantive dependency of the results on the methodology and assumptions employed. Accordingly, some observations are made on how to conduct DEA in order to get more reliable efficiency rankings, depending on the purpose for which they are to be used. In addition, attention is drawn to the ability of the SLICE MODEL, implemented in GAMS, to enable researchers to overcome the computational burdens of conducting DEA (with bootstrapping).     

Steering the Sales Force for New Product Selling: Why Is it Different,and How Can Firms Motivate Different Sales Reps?

This study investigates how to direct and assemble the sales force for new product selling. In a first step, the authors draw on self‐determination theory to explore and empirically test a threefold conceptualization of motivation. Results provide insights into why sales force steering works differently in the new product selling context. Specifically, results show that for new products’ financial performance, internalized new product selling motivation is more important than intrinsic and controlled motivation. In a second step, the authors show how firms can motivate different sales reps to achieve higher financial performance of new products. In doing so, they examine the interaction effects of sales reps’ predispositions and widespread firm‐steering instruments on new products’ financial performance. Results reveal that the new product sales orientation of the bonus strengthens the positive relationship between sales reps’ performance predisposition and new product financial performance but weakens the relationship between sales reps’ learning predisposition and financial new product performance. Moreover, results reveal that the new product sales orientation of the periodic review strengthens the positive relationship between sales reps’ learning predisposition and financial new product performance. A post hoc analysis shows that a differentiated steering approach that matches appropriate steering instruments with sales reps’ varying predispositions substantially enhances reps’ financial new product performance.     

Infinite-dimensional VARs and factor models

This paper proposes a novel approach for dealing with the ‘curse of dimensionality’ in the case of infinite-dimensional vector autoregressive (IVAR) models. It is assumed that each unit or variable in the IVAR is related to a small number of neighbors and a large number of non-neighbors. The neighborhood effects are fixed and do not change with the number of units (N), but the coefficients of non-neighboring units are restricted to vanish in the limit as N tends to infinity. Problems of estimation and inference in a stationary IVAR model with an unknown number of unobserved common factors are investigated. A cross-section augmented least-squares (CALS) estimator is proposed and its asymptotic distribution is derived. Satisfactory small-sample properties are documented by Monte Carlo experiments. An empirical illustration shows the statistical significance of dynamic spillover effects in modeling of US real house prices across the neighboring states.     

Temporal resolution of uncertainty,disclosure policy,and corporate debt yields

In this paper, we study how risk-shifting incentives and the design of debt covenants are affected by the pattern of temporal resolution of uncertainty (TRU) in the underlying technology of the firm. We show that the extent of risk-shifting as well as the yield demanded on corporate debt are larger the later the resolution of uncertainty (thus providing one explanation for the empirical evidence of Reisz and Perlich (2006)). We allow for contracting based on verifiable information disclosed by the manager. In this context, we characterize optimal covenants restricting investment. The effects of these covenants on the firm's investment policy and corporate bond yields under different disclosure policies and patterns of TRU are studied. Empirical implications are derived and discussed.     

Layering of IFRS and Dual Institutionality of Accounting Standards in Belarus

There is an ongoing debate about the applicability and efficacy of International Financial Reporting Standards (IFRS) adoption in countries with diverse institutional infrastructures. We examine financial reporting in Belarus and factors that are shaping its development. In Belarus, IFRS has been adopted through layering where it is an additional requirement to the existing reporting specified by the national accounting regulations. We explore how global standards were transposed and function in a highly specific institutional context. Based on an examination of reporting in the banking sector, we conclude that different objectives of IFRS and local reporting contribute to dual institutionality of standards where differing formats target the needs of diverse users. Thus, adoption through layering is unlikely to contribute to convergence between different reporting standards used for different purposes, and parallel reporting is expected to persist. By examining financial reporting practices in Belarus, we provide insights for practitioners, regulators, and standard-setters on implementation of IFRS in countries with similar heavy state involvement, and still using local regulations and traditions in parallel with IFRS.     

Becoming empowered: organization change in a telecom company

The notion of empowerment has been used in the management discourse since at least the 1980s. As a normative model for the distribution of decision-making mandate and administrative and operative responsibilities, empowerment serves as a new shopfloor model or ideology for decentralized organizations of the new workplace. The practice of empowerment is, however, not very often empirically researched, causing a confusion about what empowerment implies in terms of shopfloor activities. This paper presents an extensive organization development programme at a Swedish telecommunication company. Rather than being an easily implemented model, empowerment appears as a complex, heterogeneous process in which the empowering of employees is embedded in local practices and workplace cultures.     

A critical review of empirical research on open innovation adoption

The open innovation approach has been one of the most discussed topics in innovation management literature in the 2000s. Over the past few years, academic publications on open innovation have increased substantially. This paper attempts to summarize and review the state-of-the-art of empirical open innovation research and develop new opportunities for open innovation research in the future. In order to make the papers more comparable, a clear focus on large-scale quantitative-oriented studies was set. From a total of 282 documents, 30 studies were analyzed in detail along four key dimensions: Firstly, different methods of measuring open innovation adoption are compared. Then, the level of open innovation adoption is analyzed on a general basis. Thirdly, the level of adoption is compared at the level of the open innovation mode (inbound and outbound). Finally, the study results regarding the variables that influence open innovation adoption are compared and conclusions for future research directions are drawn.     

Personal responsibility in health benefits: looking backward, looking forward

Consumerism and care management continue to make inroads as cost-containment strategies for employers, as well as for employees who have endured the steady rise in benefit cost-shifting. The latest statistics and trends point the way to a new era of personal responsibility in health benefits. The author describes how this trend has grown, and where it is leading.