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“Multi-Level Issues in Organizational Behavior and Processes” is Volume 3 of Research in Multi-Level Issues, an annual series that provides an outlet for the discussion of multi-level problems and solutions across a variety of fields of study. Using a scientific debate format of a key scholarly essay followed by two commentaries and a rebuttal, we present, in this series, theoretical work, significant empirical studies, methodological developments, analytical techniques, and philosophical treatments to advance the field of multi-level studies, regardless of disciplinary perspective.

Constructing and evaluating behavioral science models is a complex process. Decisions must be made about which variables to include, which variables are related to each other, the functional forms of the relationships, and so on. The last 10 years have seen a substantial extension of the range of statistical tools available for use in the construction process. The progress in tool development has been accompanied by the publication of handbooks that introduce the methods in general terms (Arminger et al., 1995; Tinsley & Brown, 2000a). Each chapter in these handbooks cites a wide range of books and articles on specific analysis topics.

Purpose – The integration of librarians and technologists to deliver information services represents a new and costly organizational challenge for many library administrators. To understand how to control the costs of integration, this study uses structural contingency theory to study the coordination of librarians and technologists within the information commons.

Design/methodology/approach – This study tests the structural contingency theory expectation that an organization will achieve higher levels of performance when there is a positive relationship between the degree of workflow interdependence and the complexity of coordinative structures necessary to integrate these workflows. This expectation was tested by (a) identifying and collecting a sample of information common; (b) developing and validating survey instruments to test the proposition; and (c) quantitatively analyzing the data to test the proposed contingency theory relationship.

Findings – The contingency theory expectations were confirmed by finding both a positive relationship between coordination and interdependence and a positive relationship between perceptions of performance and degree of congruency between interdependence and coordination.

Limitations – The findings of this study are limited to both the context of an information common and the structures tested. Future research should seek to both broaden the context in which these findings are applicable, and test additional structural relationships as proposed by contingency theory

Practical implications – This study contributes to the library profession in a number of ways. First, it suggests that managers can improve IC performance by matching coordination structures to the degree of interdependence. For instance, when librarians and technologists are strictly co-located, managers should coordinate workflows using less resource-intensive policies rather than meetings. Second, the instruments developed in this study will improve the library manager's ability to measure and report unit interdependence and coordination in a valid and reliable manner. Lastly, it also contributes to the study of structural contingency theory by presenting one of the first empirical confirmations of a positive relationship between interdependence and coordination.

Originality/value – This study represents one of the first empirical confirmations of the structural contingency theory expectations of both a positive relationship between workflow interdependence and coordination, and a positive relationship between performance and coordination's fit to workflow interdependence. These findings are of value to both organizational theorists and to administrators of information commons.

It is generally recognized that multinational enterprises must take into account country differences in deciding the degree to which it makes sense to localize their human resource management (HRM) strategies and organization cultures to fit with the host country or rather standardize HRM strategies and organization cultures across countries. However, an important vein of academic work assumes that country differences, especially in national culture, are so important that management is “culturally dependent” (Hofstede, 1983) and that “national culture constrains variation in organization cultures” (Johns, 2006). I critically evaluate the logical and empirical evidence (including methodological issues regarding effect size) used to support such constraint arguments and conclude that the evidence is much weaker than widely believed. One implication then is that organizations may be less constrained by national culture differences in managing workforces in different countries than is often claimed. A second implication is that researchers may wish to re-think how they study such issues. I provide suggestions for future research.

The social relations model (SRM; Kenny, 1994) explicitly proposes that leadership simultaneously operates at three levels of analysis: group, dyad, and individual (perceiver and target). With this model, researchers can empirically determine the amount of variance at each level as well as those factors that explain variance at these different levels. This chapter shows how the SRM can be used to address many theoretically important questions in the study of leadership and can be used to advance both the theory of and research in leadership. First, based on analysis of leadership ratings from seven studies, we find that there is substantial agreement (i.e., target variance) about who in the group is the leader and little or no reciprocity in the perceptions of leadership. We then consider correlations of leadership perceptions. In one analysis, we examine the correlations between task-oriented and socioemotional leadership. In another analysis, we examine the effect of gender and gender composition on the perception of leadership. We also explore how self-ratings of leadership differ from member perceptions of leadership. Finally, we discuss how the model can be estimated using conventional software.

With an increasing urbanization trend over the last decades, urban agglomerations are facing different challenges that affect its inhabitants: pollution, traffic congestion, thriving population growth rates, and economic uncertainty. In the context of Latin America, where less than 20% of its inhabitants live in rural areas and with a projection to decrease to close to 10% by the year 2030, providing solutions to reduce the impact of this increase of population, on at least one of the issues, seems logical.

This study focuses on the urban logistics component to propose a classification method for homogeneous areas, using Factor Analysis (FA) and analysis of variance (ANOVA) as the main supporting tools. The proposed methodology builds up on the square kilometer (KM2) methodology developed by MIT Center for Transportation and Logistics, applying it in a neuralgic section of the downtown area of a mid-sized city in Latin America: Córdoba, Argentina. The selection was made considering the logistic restrictions, commercial density, and the relevance of the area for the city. Our proposed methodology uses relevant variables for urban logistics to perform the statistical analysis. The main goal is to develop a data-driven methodology to identify clusters to guide Córdoba's urban logistics policy and decision-making processes.

The results suggest a clear relationship between the different commercial activities and the location inside the area, splitting the area under study clearly into two main sections with similar overall characteristics and two subsections inside each one of them, which should be considered as a basis for further urban logistic analysis and implementation of specific best practices that fit the particular needs.

Israel, characterized by various knowledge-intensive entrepreneurial firms, provides an interesting case study for examining sector-based differences and “small country” regional patterns. This chapter has a dual goal of exploring sector and regional differences of knowledge-intensive firms in Israel. The first goal is to depict similarities and differences between firms in three knowledge-intensive sectors: Life Sciences, information technology, and Cleantech. The second goal questions whether the geographical distribution of these firms across regions is associated with different levels of knowledge concentration and organizational homogeneity. Regional and sector-based differences were measured by firm-level network structures, funding patterns, and innovation proxies. One way analysis of variance tests were conducted for attaining these research goals. The main findings show that while most regions exhibit similar patterns of firm and network characteristics, many differences exist on the sector level that are associated with sector-specific attributes. These findings support the notion of a “small country inter-regional homogeneity effect.”