Missing Links: Referrer Behavior and Job Segregation

How does referral recruitment contribute to job segregation, and what can organizations do about it? Current theory on network effects in the labor market emphasizes the job-seeker perspective, focusing on the segregated nature of job-seekers’ information and contact networks, and leaves little role for organizational influence. But employee referrals are necessarily initiated from within a firm by referrers. We argue that referrer behavior is the missing link that can help organizations manage the segregating effects of referring. Adopting the referrer’s perspective of the process, we develop a computational model which integrates a set of empirically documented referrer behavior mechanisms gleaned from extant organizational case studies. Using this model, we compare the segregating effects of referring when these behaviors are inactive to the effects when the behaviors are active. We show that referrer behaviors substantially boost the segregating effects of referring. This impact of referrer behavior presents an opportunity for organizations. Contrary to popular wisdom, we show that organizational policies designed to influence referrer behaviors can mitigate most if not all of the segregating effects of referring

Stakeholder Relationships and Social Welfare: A Behavioral Theory of Contributions to Joint Value Creation

Firms play a crucial role in furthering social welfare through their ability to foster stakeholders’ contributions to joint value creation, i.e., value creation that involves a public-good dilemma due to high task and outcome interdependence - leading to what economists have labeled the ‘team production problem’. We build on relational models theory to examine how individual stakeholders’ contributions to joint value creation are shaped by stakeholders’ mental representations of their relationships with the other participants in value creation, and how these mental representations are affected by the perceived behavior of the firm. Stakeholder theory typically contrasts a broadly-defined ‘relational’ approach to stakeholder management with a ‘transactional’ approach based on the price mechanism - and has argued that the former is more likely to contribute to social welfare than the latter. Our theory supports this prediction for joint value creation, but also implies that the dichotomy on which it is based is too coarse-grained: there are three distinct ways to trigger higher contributions to joint value creation than through a ‘transactional’ approach. Our theory also helps explain the tendency for firms and their stakeholders to converge on ‘transactional’ relationships, despite their relative inefficiency in the context of joint value creation

Reexamining the Pay Differentials-Organizational Outcomes Relationship in Korea : The Role of Organizational Identification

This research examines the effects of pay differentials on financial performance and employee turnover in Korea by considering a critical employee-based factor: organizational identification. Incorporating tournament theory and social identity theory, authors theorize that pay differentials increase financial performance and employee turnover without considering employees organizational identification. If considered, however, whereas the positive effects of pay differentials on financial performance will be weaker, the effects on turnover will be stronger. Using a sample of Korean cross-industry firms, results show pay differentials have a positive influence on only financial performance. Also, as predicted, while the positive relationship between pay differentials and financial performance became weaker, the relationship with turnover became stronger when employees organizational identification is high. Theoretical and practical implications for strategic pay structures are discussed

Common Method Variance in IS Research: A Comparison of Alternative Approaches and a Reanalysis of Past Research

Despite recurring concerns about common method variance (CMV) in survey research, the information systems (IS) community remains largely uncertain of the extent of such potential biases. To address this uncertainty, this paper attempts to systematically examine the impact of CMV on the inferences drawn from survey research in the IS area. First, we describe the available approaches for assessing CMV and conduct an empirical study to compare them. From an actual survey involving 227 respondents, we find that although CMV is present in the research areas examined, such biases are not substantial. The results also suggest that few differences exist between the relatively new marker-variable technique and other well-established conventional tools in terms of their ability to detect CMV. Accordingly, the marker-variable technique was employed to infer the effect of CMV on correlations from previously published studies. Our findings, based on the reanalysis of 216 correlations, suggest that the inflated correlation caused by CMV may be expected to be on the order of 0.10 or less, and most of the originally significant correlations remain significant even after controlling for CMV. Finally, by extending the marker-variable technique, we examined the effect of CMV on structural relationships in past literature. Our reanalysis reveals that contrary to the concerns of some skeptics, CMV-adjusted structural relationships not only remain largely significant but also are not statistically differentiable from uncorrected estimates. In summary, this comprehensive and systematic analysis offers initial evidence that (1) the marker-variable technique can serve as a convenient, yet effective, tool for accounting for CMV, and (2) common method biases in the IS domain are not as serious as those found in other disciplines.common method variance, method biases, marker variable, logit analysis, path analysis

Role of human-computer interaction factors as moderators of occupational stress and work exhaustion

Software professionals perform boundary-spanning activities, and thus need strong interpersonal, technical, and organizational knowledge to be professionally competent. They have to perform in a demanding work environment characterized by strict deadlines, differing time zones, interdependency in teams, increased interaction with clients, and extended work hours. These characteristics lead to occupational stress and work exhaustion. Yet, the impact of stress is felt in different ways by different people, even if they perform the same functions. These differences in the perception of stress can be caused by varying confidence in their technical capabilities. People possess varying technical capabilities, based on their acquisition of technical skills, comfort level in using the technology, and intrinsic motivation. These attributes represent the human-computer interaction (HCI) personality of software professionals. This article examines whether these HCI factors moderate the relationship between occupational stress and work exhaustion. Data were collected from software professionals located in Chennai and Bangalore in India. The data revealed that HCI factors had a main effect but no significant moderating effects on work exhaustion. The control over the technology variable emerged as the key variable among the HCI factors that affected software professionals' ability to cope with stress and work exhaustion