Search results

The contrast of multilevel and comparative research may seem counterintuitive at first. After all, one might argue that comparative research on organizations by necessity spans several levels of analysis (Rokkan, 1966). Yet, multilevel and comparative research on organizations present rather distinct traditions in organization studies, each with its own epistemological assumptions and associated methods. Accordingly, an approach that aims to incorporate both multilevel and comparative ideas needs to start with taking inventory of these prior literatures to situate itself. In the following, we thus turn to the literatures on multilevel and comparative research as different traditions with surprisingly little overlap.

To identify the typical multilevel issues in social science, as well as illustrate the theoretical basis, hierarchical models and empirical exemplars of multilevel paradigm.

Hierarchical and multilevel data are extremely common in social systems, but multilevel analysis is constrained by statistical techniques. With the development of social system theory and empirical methods such as hierarchical structure modeling and latent growth modeling, multilevel paradigm can be used to analyze multilevel data. So it is necessary to identify typical multilevel phenomena in social science and discuss multilevel modeling techniques.

This paper identifies four typical multilevel phenomena in social system study: hierarchical and clustered sampling, collective construct research, longitudinal repeated measures, and event history analysis. Hierarchical structure modeling and latent growth modeling are effective multilevel analysis techniques in social science because of their advantages in the integration of social system research.

The quality and availability of multilevel data are the main limitations regarding which model will be applied.

The paper can aid the provision of effective multilevel models to social workers.

This paper provides information on application of multilevel modeling in social science.

This paper aims to improve the understanding of competence management in innovative small and medium-sized enterprises (SMEs) through a multilevel approach.

This paper adopts a three-part structure to propose a conceptual and theoretical framework. It first explores the full scope of multilevel approaches to human resource management research, both in theory and in practice. It then reviews the literature on competence management in innovative SMEs, before demonstrating that the topic is a multilevel phenomenon. Finally, it reflects on the research and methodology implications, identifies limitations and provides suggestions for future research.

This literature review shows that competence management in innovative SMEs is a multilevel phenomenon. It outlines the research and methodology implications, identifies limitations and suggests future research directions.

The overarching contribution is to offer a literature review and a research agenda for a multilevel approach to competence management in the development of innovative SMEs.

Despite the growing belief that multilevel research is necessary to advance human resource management (HRM) understanding, there remains a lack of multilevel thinking – the application of principles for multilevel theory building. The purpose of this paper is to propose a systematic approach for multilevel HRM research.

The paper proposes an agenda for multilevel HRM research by addressing three obstacles (concerning questions, theories and methods) that impede advancement in this field.

The paper provides an inclusive definition of multilevel HRM research that serves to advance its use, and maps out a multilevel HRM research landscape that captures the various aspects of this concept. The paper identifies unanswered multilevel questions within 16 research domains and develops a systematic approach to tackle these research questions by invoking three relevant theories and methodologies.

Some of the identified research questions could not be answered due to limitations in mainstream multilevel theories and methodologies. In response, this paper proposes theories and methodologies that can address some of the multilevel HRM research questions identified in this paper.

The findings can help HRM academics working on cross-disciplinary and cross-level research problems with a clearly structured approach to what multilevel HRM research is and what steps should be taken in conducting such research.

The originality lies in the systematic approach that precisely describes multilevel HRM research, and addressing obstacles that inhibit rigorous and relevant multilevel HRM research by highlighting relevant research questions, theories and methodologies.

The purpose of this paper is twofold. The first is to review the extant literature on hospitality management by tracking past research patterns and critically reviewing the use of multilevel theory and techniques in this stream of research. The second is to suggest potential research opportunities to stimulate a leap forward in the current multilevel research.

To answer the four main research questions raised by the current review, the author performed a critical analysis of a total of 149 selected articles published between 2011 and 2021 in seven leading hospitality management journals.

Overall, the number of multilevel studies has increased significantly since 2017. However, some deficiencies remain: a lack of fit between the level of theory and the level of measurement, the revelation of insufficient information, misspecification of the multilevel model and small sample sizes at higher levels. Furthermore, several interesting and understudied topics are also identified as ripe for future investigation.

In addition to encourage the scholars in hospitality management to assess the possibility of using the multilevel research design for their research topics, the current article also provides recommendations and opportunities for the future multilevel research.

This article is a pioneer in providing a critical synthesis of multilevel research in the field of hospitality management. Although reviews of the issues involved in multilevel research are available in the existing literature, none of them focuses on the situation and needs of hospitality management. As multilevel research increases in popularity, this review offers a snapshot of the introductory phase and outlines important issue in conducting such research.

This study aims to posit that managerial value would be one of the responsible factors for the difference in corporate social responsibility practice among businesses. It then empirically tested the effect of managerial value, with the moderation of organizational culture, on corporate social responsibility practice.

The authors have devised a “moderated micro-macro model” type of multilevel model, wherein managerial value took the micro (individual level) predictor variable role, stakeholder-based corporate social responsibility practice the macro (organizational level) outcome variable role and organizational culture the macro level moderating variable role. Because they need the attention of inquiry, large manufacturing firms in the Amhara region of Ethiopia, with a sample size of 53, constituted the organizational level units. The recent performance of the firms against corporate social responsibility practice and organizational culture have been judged by 473 randomly chosen employees. Managerial value has been rated by randomly picked managers, numbered 253. Analytically, Croon and van Veldhoven’s multilevel analytical package and Mplus software suited the designed model.

The study has revealed that managerial value, indeed, is a potential positive driver of CSR practice, the two managerial value dimensions demonstrated differential effects on corporate social responsibility practice and only one of the organizational culture dimensions, hierarchical culture, played a moderation role in managerial value – corporate social responsibility practice link.

The model and this empirical test have not been previously verified.

There is increasing evidence about the key role that intragroup conflicts have for teams’ performance and its members’ well-being. However, the existing measures in the Spanish-speaking context to address intragroup conflicts suffer from important theoretical and methodological flaws. In response, this study aims to provide a valid and reliable scale to measure intragroup conflicts in organizational settings: the Intragroup Conflict Scale in its 14-item version (ICS-14: Jehn et al., 2008).

In a cross-sectional survey design, the authors analyze the ICS’s internal consistency and reliability, factor solution and external validity by using a multilevel approach in a sample consisting of 588 workers nested in 55 production teams from a Spanish company.

Results indicated that the ICS-14 exhibited good Cronbach’s alpha (0.62-0.95), omega (0.63-0.95) and multilevel alpha coefficient (0.82-0.98). In addition, in line with the theoretical conception of three types of intragroup conflicts, results from a multilevel confirmatory factor analysis revealed that a three multilevel-factor solution presented the best fit to the data. Finally, multilevel analyses also showed that intragroup conflicts are associated to burnout, engagement at work and perceived team’s quality of service, which provided additional support for using the ICS-14 in the Spanish context.

This study offers a reliable and valid measurement of intragroup conflict, considering the whole instrument and its different dimensions, which can be used to develop team strategies and evaluate the effect of specific interventions on conflict.

The authors validate the most recent 14-item version of the ICS-14 by applying a multilevel approach to a group-level construct that overcomes previous methodological flaws.

The purpose of this paper is to address the statistical issues associated with the hierarchically structured data in previous studies that focused on servant leadership. To resolve these issues, multilevel modeling methods were applied to re-visit the construct validity of the servant leadership questionnaire developed by Barbuto and Wheeler (2006) and investigate the relationship between servant leadership and job satisfaction under a multilevel framework.

The survey data was obtained from a sample of 2,089 teachers from 117 primary and secondary schools in Hong Kong. The analyses were conducted using multilevel confirmatory factor analysis (MLCFA) and multilevel structural equation modeling (MLSEM).

The results revealed the significant and non-trivial variances that were explained at the organization level in the items measuring servant leadership, which justified the use of MLCFA and MLSEM. The results of MLCFA provided empirical support for the multidimensional construct as well as the second-order factorial structure of servant leadership measures at both the individual and organization levels. In addition, the positive relationships between servant leadership and the followers’ job satisfaction were found to vary at different levels.

This study reiterates the importance of using appropriate methods to capture a solid definition of the construct of servant leadership and provides new insights into the conceptual framework of servant leadership as well as the effects of servant leadership on individual and organizational outcomes.

This study examines how transformational leadership on the part of senior attorneys in law firms may affect their subordinate attorneys' performance in an industry experiencing both distinctive leadership challenges and widespread economic upheaval. Specifically, our multilevel theoretical model attempts to capture the moderated mediation relationships between transformational leadership, innovative climate, entrepreneurial orientation, and individual performance.

The study employs of a multilevel path analysis to examine the earlier described conceptual model utilizing primary data collected from 484 attorneys at 31 professional service firms.

The authors used multilevel path analysis to examine the existence and the extent of a multilevel mediation effect. They found that a firm's entrepreneurial orientation mediates the relationship between supervising attorneys' transformational leadership and individual attorneys' performances. The authors also found that the indirect effect of supervising attorneys' transformational leadership on individual attorneys' performances through entrepreneurial orientation is conditional on the degree of firm innovative climate.

The authors draw on theories of social learning to construct a dual-level theoretical model that connects domains within the leadership and entrepreneurship literatures. It does so by examining the relationships between the law firms' supervising attorneys' change-oriented leadership and their subordinate attorneys' billable hours during a period of severe economic disruption.

Purpose – This chapter provides an overview of multilevel modeling with a focus on the application of hierarchical linear modeling (HLM) in international management research.

Findings – The key topics covered include an introduction to hierarchical linear models, how to apply appropriate hierarchical linear models to address different types of international management research questions, and six methodological issues concerning international management research with a multilevel analysis.

Originality/value – The overview of HLM and its relevance for international management research facilitates researchers to apply this powerful analytical strategy in their future research.