The rapid pace of technological innovation necessitates that information technology (IT) services firms continually invest in replenishing the skills of their key asset base, the human capital. We examine whether human capital investments directed toward employee training are effective in improving employee performance. Our rich employee level panel data set affords us the opportunity to link formal training with performance at the individual employee level. Using a dynamic panel model, we identify a significant positive impact of training on employee performance. A unit increase in training is linked to a 2.14% increase in an employee's performance. Interestingly, we find that in the IT sector, skills atrophy and consequently high-experience employees reap higher returns from training, which highlights the uniquely dynamic nature of IT knowledge and skills. We also find that general training that an employee can utilize outside the focal firm improves employee performance. However, specific training pertinent to the focal firm is not positively linked to performance. On the other hand, although domain and technical training both enhance employee performance individually, the interaction between the two suggests a substitutive relationship. Thus, our findings suggest that the value of training is conditional on a focused curricular approach that emphasizes a structured competency development program. Our findings have both theoretical and practical significance. Most important, they justify increased human capital investments to fuel future growth in this important component of the global economy. This paper was accepted by Lorin Hitt, information systems.

No abstract

The ongoing digitization of multiple industries has drastically reduced the half-life of skills and capabilities acquired by knowledge workers through formal education. Thus, firms are forced to make significant ongoing investments in training their employees to remain competitive. Existing research has not examined the role of training in improving firm level productivity of knowledge firms. This paper provides an innovative econometric framework to estimate returns to such employee training investments made by firms. We use a panel dataset of small-to-medium sized Indian IT services firms and assess how training enhances human capital, a critical input for such firms, thereby improving firm revenues. We use econometric approaches based on optimization of the firm's profit function to eliminate the endogenous choice of inputs common in production function estimations. We find that increase in training investments is significantly linked to increase in revenue per employee. Further, marginal returns to training are increasing in firm size. Therefore, relatively speaking, large firms benefit more from training. For the median company in our data, we find that a dollar invested in training yields a return of $4.67, and this effect approximately grows 2.5 times for the 75 th percentile sized firm. A variety of robustness checks, including the use of Data Envelopment Analysis, are used to establish the veracity of our results.

Full terms and conditions of use: http://pubsonline.informs.org/page/terms-and-conditionsThis article may be used only for the purposes of research, teaching, and/or private study. Commercial use or systematic downloading (by robots or other automatic processes) is prohibited without explicit Publisher approval, unless otherwise noted. For more information, contact permissions@informs.org.The Publisher does not warrant or guarantee the article's accuracy, completeness, merchantability, fitness for a particular purpose, or non-infringement. Descriptions of, or references to, products or publications, or inclusion of an advertisement in this article, neither constitutes nor implies a guarantee, endorsement, or support of claims made of that product, publication, or service. Copyright © 2014, INFORMS Please scroll down for article-it is on subsequent pagesINFORMS is the largest professional society in the world for professionals in the fields of operations research, management science, and analytics. For more information on INFORMS, its publications, membership, or meetings visit http://www.informs.org T his study examines the role of project managers' (PM) practical intelligence (PI) in the performance of software offshore outsourcing projects. Based on the extant literature, we conceptualize PI for PMs as their capability to resolve project related work problems, given their long-range and short-range goals; PI is targeted at resolving unexpected and difficult situations, which often cannot be resolved using established processes and frameworks. We then draw on the information processing literature to argue that software offshore outsourcing projects are prone to severe information constraints that lead to unforeseen critical incidents that must be resolved adequately for the projects to succeed. We posit that PMs can use PI to effectively address and resolve such incidents, and therefore the level of PMs' PI positively affects project performance. We further theorize that project complexity and familiarity contribute to its information constraints and the likelihood of critical incidents in a project, thereby moderating the relationship between PMs' PI and project performance. Information Systems ResearchTo evaluate our hypotheses, we analyze longitudinal data collected in an in-depth field study of a leading software vendor organization in India. Our data include project and personnel level archival data on 530 projects completed by 209 PMs. We employ the critical incidents methodology to assess the PI of the PMs who led these projects. Our findings indicate that PMs' PI has a significant and positive impact on project performance. Further, projects with higher complexity or lower familiarity benefit even more from PMs' PI. Our study extends the literatures on project management and outsourcing by conceptualizing and measuring PMs' PI, by theorizing its relationship with project performance, and by positing how that relationship is moderated by project complexity and familiarity. Our study provides unique empir...

No abstract