Nathan P. Podsakoff

Bio: Nathan P. Podsakoff is an academic researcher from University of Arizona. The author has contributed to research in topics: Organizational citizenship behavior & Construct (philosophy). The author has an hindex of 28, co-authored 41 publications receiving 59152 citations. Previous affiliations of Nathan P. Podsakoff include University of South Carolina & University of Florida.

Effects of theoretical contribution, methodological rigor, and journal quality, on the impact of scale development articles in the field of entrepreneurship

Abstract: Despite the widespread belief that empirical studies that are firmly grounded in theory and use valid measures of their focal constructs are more critical to the advancement of science than studies that do not possess these attributes, it is only recently that this belief has begun to be empirically tested. Unfortunately, most of the tests that have been conducted have some limitations. Therefore, the purpose of this study is to examine the effects that an article's theoretical contribution, the rigor of its scale validation procedures, and the quality of the journal in which it is published have on its impact in the field of entrepreneurship. Using expectancy theory as a conceptual framework, we develop and test our hypotheses in a sample of 88 entrepreneurship articles that reported scale development and validation evidence. Our hypotheses were supported in that the results showed that an article's theoretical contribution, methodological rigor, and journal quality significantly predicted the number of citations the article received, even after controlling for article age- and author-related variables. When taken together, the article characteristics and control variables accounted for 66 percent of the variance in article citations. Implications of these findings for researchers in the field of entrepreneurship are discussed. Copyright © 2011 Strategic Management Society.

One (rating) from many (observations): Factors affecting the individual assessment of voice behavior in groups.

Abstract: This article reports an investigation into how individuals form perceptions of overall voice behavior in group contexts. More specifically, the authors examine the effect of the proportion of group members exhibiting voice behavior in the group, the frequency of voice events in the group, and the measurement item referent (group vs. individual) on an individual’s ratings of group voice behavior. In addition, the authors examine the effect that measurement item referent has on the magnitude of the relationship observed between an individual’s ratings of group voice behavior and perceptions of group performance. Consistent with hypotheses, the results from 1 field study (N = 220) and 1 laboratory experiment (N = 366) indicate that: (a) When group referents were used, raters relied on the frequency of voice events (and not the proportion of group members exhibiting voice) to inform their ratings of voice behavior, whereas the opposite was true when individual-referent items were used, and (b) the magnitude of the relationship between observers’ ratings of group voice behavior and their perceptions of group performance was higher when raters used group-referent, as opposed to an individual-referent, items. The authors discuss the implications of their findings for scholars interested in studying behavioral phenomena occurring in teams, groups, and work units in organizational behavior research

Sources of Method Bias in Social Science Research and Recommendations on How to Control It

Abstract: Despite the concern that has been expressed about potential method biases, and the pervasiveness of research settings with the potential to produce them, there is disagreement about whether they really are a problem for researchers in the behavioral sciences. Therefore, the purpose of this review is to explore the current state of knowledge about method biases. First, we explore the meaning of the terms “method” and “method bias” and then we examine whether method biases influence all measures equally. Next, we review the evidence of the effects that method biases have on individual measures and on the covariation between different constructs. Following this, we evaluate the procedural and statistical remedies that have been used to control method biases and provide recommendations for minimizing method bias.

Confirmatory Factor Analysis for Applied Research

Abstract: "With its emphasis on practical and conceptual aspects, rather than mathematics or formulas, this accessible book has established itself as the go-to resource on confirmatory factor analysis (CFA). Detailed, worked-through examples drawn from psychology, management, and sociology studies illustrate the procedures, pitfalls, and extensions of CFA methodology. The text shows how to formulate, program, and interpret CFA models using popular latent variable software packages (LISREL, Mplus, EQS, SAS/CALIS); understand the similarities and differences between CFA and exploratory factor analysis (EFA); and report results from a CFA study. It is filled with useful advice and tables that outline the procedures. The companion website offers data and program syntax files for most of the research examples, as well as links to CFA-related resources. New to This Edition *Updated throughout to incorporate important developments in latent variable modeling. *Chapter on Bayesian CFA and multilevel measurement models. *Addresses new topics (with examples): exploratory structural equation modeling, bifactor analysis, measurement invariance evaluation with categorical indicators, and a new method for scaling latent variables. *Utilizes the latest versions of major latent variable software packages"--

An assessment of the use of partial least squares structural equation modeling in marketing research

Abstract: Most methodological fields undertake regular critical reflections to ensure rigorous research and publication practices, and, consequently, acceptance in their domain. Interestingly, relatively little attention has been paid to assessing the use of partial least squares structural equation modeling (PLS-SEM) in marketing research—despite its increasing popularity in recent years. To fill this gap, we conducted an extensive search in the 30 top ranked marketing journals that allowed us to identify 204 PLS-SEM applications published in a 30-year period (1981 to 2010). A critical analysis of these articles addresses, amongst others, the following key methodological issues: reasons for using PLS-SEM, data and model characteristics, outer and inner model evaluations, and reporting. We also give an overview of the interdependencies between researchers’ choices, identify potential problem areas, and discuss their implications. On the basis of our findings, we provide comprehensive guidelines to aid researchers in avoiding common pitfalls in PLS-SEM use. This study is important for researchers and practitioners, as PLS-SEM requires several critical choices that, if not made correctly, can lead to improper findings, interpretations, and conclusions.

Technology Acceptance Model 3 and a Research Agenda on Interventions

Abstract: Prior research has provided valuable insights into how and why employees make a decision about the adoption and use of information technologies (ITs) in the workplace. From an organizational point of view, however, the more important issue is how managers make informed decisions about interventions that can lead to greater acceptance and effective utilization of IT. There is limited research in the IT implementation literature that deals with the role of interventions to aid such managerial decision making. Particularly, there is a need to understand how various interventions can influence the known determinants of IT adoption and use. To address this gap in the literature, we draw from the vast body of research on the technology acceptance model (TAM), particularly the work on the determinants of perceived usefulness and perceived ease of use, and: (i) develop a comprehensive nomological network (integrated model) of the determinants of individual level (IT) adoption and use; (ii) empirically test the proposed integrated model; and (iii) present a research agenda focused on potential pre- and postimplementation interventions that can enhance employees' adoption and use of IT. Our findings and research agenda have important implications for managerial decision making on IT implementation in organizations.

기독교 사역과 Leadership

Abstract: Building Leadership Effectiveness This program encourages leaders to develop practices that transform values into action, vision into realities, obstacles into innovations, and risks into rewards. Participants will be introduced to the five practices of exemplary leadership: modeling the way, inspiring a shared vision, challenging the process, enabling others to act, and encouraging the heart Coaching & Communicating for Performance Coaching & Communicating for Performance is a highly interactive program that will give supervisors and managers the opportunity to build skills that will enable them to share expectations and set objectives for employees, provide constructive feedback, more effectively engage in learning conversations, and coaching opportunities. Skillful Conflict Management for Leaders As a leader, it is important to understand conflict and be effective at conflict management because the way conflict is resolved becomes an integral component of our university’s culture. This series of conflict management sessions help leaders learn and put into practice effective strategies for managing conflict.