Combining information for prediction in linear regression

This article deals with the prediction problem in linear regression where the measurements are obtained using k different devices or collected from k different independent sources. For the case of k=2, a Graybill-Deal type combined estimtor for the regression parameters is shown to dominate the individual least squares estimators under the covariance criterion. Two predictors ŷ _c and ŷ _p are proposed. ŷ _c is based on a combined estimator of the regression coefficient vector, and ŷ _p is obtained by combining the individual predictors from different models. Prediction mean square errors of both predictors are derived. It is shown that the predictor ŷ _p is better than the individual predictors for k≥2 and the predictor ŷ _c is better than the individual predictors for k=2. Numerical comparison between ŷ _c and ŷ _p shows that the former is superior to the latter for the case k=2.     

Effect of modern rice varieties and irrigation on household income distribution in Nepalese villages

Since high-yielding modern rice varieties (MVs) are adopted only in favorable production environments, significant regional productivity differentials have emerged in Nepal. This study explores the distributional consequences of such differential MV adoption based on an intensive survey of favorable and unfavorable villages. We found that MV adoption increased returns to land but decreased family labor earnings from rice production, as it facilitated the substitution of hired for family labor. As a result, the differential MV adoption did not significantly worsen the household income distribution according to the results of the counterfactual Gini decomposition analysis.     

Financial Distress in the Great Depression

We use firm‐level data to study corporate performance during the Great Depression era for all industrial firms on the NYSE. Our goal is to identify the factors that contribute to business insolvency and valuation changes during the period 1928‐1938. We find that firms with more debt and lower bond ratings in 1928 became financially distressed more frequently during the Depression, consistent with the trade‐off theory of leverage and the information production role of credit rating agencies. We also document for the first time that firms responded to tax incentives to use debt during the Depression era but that the extra debt used in response to this tax‐driven “debt bias” did not contribute significantly to the occurrence of distress. Finally, we conduct an out‐of‐sample test during the recent 2008‐2009 Recession and find that higher leverage and lower bond ratings also increased the occurrence of financial distress during this period.     

Enterprise Risk Management and the Financial Reporting Process: The Experiences of Audit Committee Members,CFOs, and External Auditors

The recent financial crisis has brought to the forefront the need for companies to effectively manage their risks. In this regard, one approach that has gained prominence is enterprise risk management (ERM). Importantly, little is known about the link between ERM and the financial reporting process. This link is critical, because it is imperative that financial reporting adequately depicts the financial status (e.g., valuations, estimates) and associated risks of a company as revealed by ERM. Additionally, from an auditing perspective, ERM affects the risks of misstatement, which should impact audit planning. Accordingly, the objective of this study is to examine the experiences of audit partners, CFOs, and audit committee (AC) members (“the governance triad”) on the link between ERM and the financial reporting process. To determine whether members of the governance triad focus on monitoring, strategy, or both, we also examine their definition of and experiences with ERM with respect to agency and/or resource dependence theory. To address these issues, we conduct semistructured interviews of experienced individuals that form the governance triads from 11 public companies. There are three major findings from our study. First, importantly, all three types of participants see a strong link between ERM and the financial reporting process. Second, despite recognition of the broad nature of ERM, the predominant experiences of the actual roles played by triad members center on agency theory, while resource dependence may be relatively underemphasized by all triad members. Finally, CFOs and AC members indicate that auditors may be especially underutilizing ERM in the audit process, suggesting an “expectations gap.”     

Capability hierarchy in electronic procurement and procurement process performance: An empirical analysis

This paper examines the interrelationship between two hierarchically structured functional capabilities pertinent in the organizational procurement process, and the impact of these capabilities on procurement process performance. These functional capabilities operate at different levels in an organization's procurement process. We draw upon resource- and knowledge-based views of the firm to theorize that in this hierarchy of information technology-enabled procurement capabilities, the higher-level capability – procurement integration competence – enables firms to develop and deploy a lower-level capability – digital procurement competence. Further, we theorize that the lower-level capability impacts procurement process performance directly and completely mediates the relationship between higher-level capability and performance. Thus, although performance is impacted directly only by the lower-level capability, the higher-level capability facilitates the development and use of the lower-level capability. Our research model is tested using survey data from a large sample of 412 manufacturing firms. The results provide strong support for the proposed research model. In particular, we find that as hypothesized, the impact of procurement integration competence on performance is completely mediated by digital procurement competence. Our results suggest that when examined at the procurement process level, the impact of higher-level capabilities may be manifested completely through the lower-level capabilities. Theoretical and practical implications of the research are discussed.     

Experiments on strategic choices and markets

Much of experimental research in marketing has focused on individual choices. Yet in many contexts, the outcomes of one’s choices depend on the choices of others. Furthermore, the results obtained in individual decision making context may not be applicable to these strategic choices. In this paper, we discuss three avenues for further advancing our understanding of strategic choices. First, there is a need to develop theories about how people learn to play strategic games. Second, there is an opportunity to enrich standard economic models of strategic behavior by allowing for different types of bounded rationality and by relaxing assumptions about utility formulation. These new models can help us to more accurately predict strategic choices. Finally, future research can improve marketing practice by designing better mechanisms and validating them using experiments.     

Factors influencing mentors’ learning from mentoring relationships: insights from a serial mediation study in India

The primary objective of the present study is to understand mentoring relationships in Indian organizations from the mentors’ perspective. In particular, the study examines whether the learning goal orientation of a mentor can significantly influence the mentoring process and outcomes for the mentor in a mentoring relationship. Two hundred and thirty‐six participants were selected using purposive sampling. Data were gathered using standardized questionnaires. Mediating effects were investigated using the PROCESS model by Hayes, Introduction to Mediation, Moderation, and Conditional Process Analysis: A Regression Based Approach. The results indicate high levels of support for several hypotheses examining the direct effects of learning goal orientation on willingness to engage by the mentor, mentoring functions provided and mentor outcomes (personal learning and self enhancement). The overall findings of the study suggest that mentors are not only ‘providers’ but also ‘receivers of learning’. Limitations and directions for future research are also discussed in the paper.     

Education Crisis,Workforce Preparedness,and COVID‐19: Reflections and Recommendations

This article explores the impact of COVID‐19 on the higher education crisis and its implications for workforce preparedness and the future of work. It takes an integrative look at the evolving role of three primary actors involved in higher education: traditional universities, corporate universities, and educational technology companies, before, during, and after the pandemic. We conclude with recommendations for reframing discussions about higher education and workforce preparation to achieve a better balance between the workforce needs of the corporate world and those of society.     

Inference on Reliability in Two-parameter Exponential Stress–strength Model

The problem of hypothesis testing and interval estimation of the reliability parameter in a stress–strength model involving two-parameter exponential distributions is considered. Test and interval estimation procedures based on the generalized variable approach are given. Statistical properties of the generalized variable approach and an asymptotic method are evaluated by Monte Carlo simulation. Simulation studies show that the proposed generalized variable approach is satisfactory for practical applications while the asymptotic approach is not satisfactory even for large samples. The results are illustrated using simulated data.