Common Method Bias (CMB) represents one of the most frequently cited concerns among Information System (IS) and social science researchers. Despite the broad number of commentaries lamenting the importance of CMB, most empirical studies have relied upon Monte Carlo simulations, assuming that all of the sources of bias are homogenous in their impact. Comparatively analyzing field-based data, we address the following questions: (1) What is the impact of different sources of CMB on measurement and structural models? (2) Do the most commonly utilized approaches for detecting CMB produce similar estimates? Our results provide empirical evidence that the sources of CMB have differential impacts on measurement and structural models, and that many of the detection techniques commonly utilized within the IS field demonstrate inconsistent accuracy in discerning these differences.

This paper provided construct validity evidence for polychronicity in two related studies. Study 1 assessed the relationship between individuals' stated polychronicity preferences and peer ratings of polychronicity in a multitrait-multimethod design, which indicated that different raters were able to agree about an individual's polychronicity. Additional construct validity evidence was provided by linking polychronicity to several potentially related constructs such as achievement striving, impatience/irritability, stress, and performance. In study 2, hypothesized relationships between polychronicity and both time urgency and time management behavior dimensions were supported. In addition, similar relationships between polychronicity and time urgency dimensions were identified across French and US samples. Together, these two studies provide a clearer understanding of the correlates and potential outcomes of polychronicity. Directions for future research are also discussed.

Applying three mathematical modeling techniques, this study proposes and tests the fit of an academic performance model, and then estimates the relative importance of four performance predictors: academic ability, performance goal orientation, educational technology use, and social network density. Drawing on social network theory, findings from this study show that social network density is a statistically important and unique predictor of academic performance, suggesting that "who you know" matters in large classroom settings. However, this study also indicates that academic ability is the most dominant factor in the explanation of academic performance. Practical and theoretical implications for enhancing academic performance through social networks are discussed.

We explored whether voluntary survey completion by team members (in aggregate) is predictable from team members' collective evaluations of team-emergent states. In doing so, we reanalyze less-than-complete survey data on 110 teams from a published field study, using so-called traditional and modern missing data techniques to probe the sensitivity of these team-level relationships to data missingness. The multivariate findings revealed that a greater within-team participation rate was indeed related to a higher team-level (mean) score on team mental efficacy (across all four missing-data techniques) and less dispersion among team member judgments about internal cohesion (when the 2 modern methods were used). In addition, results show that a commonly used approach of retaining only those teams with high participation rates produces inflated standardized effect size (i.e., R²) estimates and decreased statistical power. Suggestions include research design considerations and a comprehensive methodology to account for team member data missingness.

The aim of the research is to reveal the role of internal motivations in the mechanism driving corporate social responsibility (CSR) strategy in construction corporations. A framework was constructed based on neo-institutional theory, and measurement scales were developed through interviews. Questionnaire surveys and hierarchical regression analysis were carried out to verify the framework in a sample of huge Chinese construction corporations. The results reveal the mediating and moderating roles of ethical leadership, managerial moral motivation, and managerial autonomy in driving CSR strategy, which will enrich the application of neo-institutional theory in future CSR research. Furthermore, this study developed indicators, scales, and analytical frameworks with full consideration of the theoretical generality and the industrial particularity of Chinese construction corporations, which deepened the understanding of the driving mechanism of CSR strategy in the construction industry.The findings have practical implications for HCCCs in terms of developing CSR strategy and ultimately improving their CSR performance.

Purpose Communities are best able to tackle complex social problems when solutions are achieved collaboratively. Inter-organizational partnerships are strongest and provide the greatest benefit to communities when the relationships are mutually compatible. The purpose of this paper is to introduce an evidence-informed approach to identifying and forming mutually compatible collaborations among organizations responsible for promoting community well-being and carrying out community-level interventions. Design/methodology/approach A three-stage case study examines the utility of a novel measurement tool for identifying opportunities for strategic collaboration. The strategic compatibility assessment (SCA) was designed to identify inter-organizational collaborative capacities within and across sectors as a means to motivate collaborative behaviors that are essential to community change initiatives that advance the collective impact. Findings The findings of this paper indicate the SCA is an effective tool for fostering mutually beneficial collaborative partnerships. A high degree of content, face and practical validity was evidenced in two independent studies of SCA, and organizations using the SCA tool reported a moderate-to-high degree of collaborative behavior in a post-intervention assessment of SCA outcomes. These findings provide field-based support for the SCA to promote cross-sector collaboration for community-level interventions. Originality/value The SCA tool describes the degree of collaboration among organizations that operate within a neighborhood; identifies potential points of mutual compatibility within the network; and creates pathways for leveraging collaborative behavior to promote community capitals. The aim of this research is to examine the potential of the SCA tool to shift the non-profit sector climate away from one characterized by competition toward one rich with collaboration.

No abstract

No abstract