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The purpose of this paper is to contribute to the understanding of how to raise organizational performance in public sector organizations through human resource management. Specifically, this paper aims to investigate the link between structural empowerment and organizational performance, and the mediating role of the psychological empowerment of employees.

The authors apply multilevel structural equation modeling using a sample of 103 local governments’ managers and 461 employees from Spain.

The results show that structural empowerment is positively associated with organizational performance. Surprisingly, this relationship is not mediated by psychological empowerment, although it is a powerful antecedent of organizational performance.

In the context of new public management, structural empowerment emerges as a useful component of human resource management for improving organizational performance in public sector organizations. Nevertheless, scant research has combined structural empowerment practices and employees’ feelings of empowerment, which would create a global view to shed light on their role to increase organizational performance. Therefore, this paper examines the mediating function of psychological empowerment (individual level) in the structural empowerment–organizational performance link (organizational level) in the context of public sector organizations.

This paper describes an integrated structural optimization procedure in the vehicle structural concept design using multilevel decomposition technique. The structural responses in the lower level are represented in terms of local quantities that are the intermediate parameters or the detailed dimensions based on the parametric distributed screen from design and manufacturing constraints. And this technique is applied to develop the aluminum vehicle structure at concept design. We have the very efficiency results that decide the characteristics of master section and joint stiffness of vehicle structure. In the comparison with the base model the bending stiffness and torsional stiffness of the developed aluminum vehicle structure increase around 45% and 35% respectively, and the weight reduction is around 30%.

This study aims to examine the validation of both the model of direct effects and the model of indirect effects of principals' leadership on student academic achievement.

A longitudinal study was conducted in which 22 schools, 55 classes and 1,224 Cypriot primary students participated. Specifically, achievements in Greek Language and Mathematics were assessed at the beginning and at the end of the same school year. Moreover, leadership style of school principals and teachers as well as school and classroom culture was measured.

The findings provide some empirical support for the model of direct effects of principals' leadership on student academic achievement. Moreover, student achievement gains were found to be related with five factors at the school level: the principals' human resource leadership style and four dimensions of organizational culture. At the classroom level, three dimensions of learning culture significantly influence student achievement in each subject. Finally, relationships between effectiveness factors operating at different levels were identified.

The article presents an original empirical study which examined the relationship among school leadership, school culture and student achievement in order to validate both the model of direct effects and the model of indirect effects of school principals on student achievement.

This paper aims to provide an alternative explanation for how organizations could increase levels of organizational identification, in turn reducing employee turnover intention. Specifically, the study empirically tests the joint effect of two types of organizational resources – structural empowerment and serving culture (SE*SC) – on employee identification. Moreover, it investigates the mediating effect of organizational identification on the relationship between the joint effect (SE*SC) and turnover intention.

The data were collected in 2018 from employees working in a higher education institution located in the USA. Structural equation modeling was used to test the proposed model.

Statistical analysis reveals the positive joint effect (SE*SC) on organizational identification and the mediating effect of identification on the relationship between the joint effect (SE*SC) and turnover intention.

This study contributes to past research by revealing a new important mechanism. Business organizations could increase levels of employee identification and, in turn, reduce turnover by providing empowering resources that allow employees to successfully complete their jobs. Moreover, the study also contributes to practice by providing some recommendations that managers may implement to improve internal effectiveness in their respective organizations.

Purpose – The purpose of this chapter is to examine methodological trends in emerging market strategy research and to provide a comprehensive review of methods of assessing group variation in comparative studies.

Methodology/approach – This comprises a systematic review of the methodology of emerging market research over the past 10 years, followed by methodological best practices for comparative studies involving emerging and mature markets, with exemplars from the past research.

Findings – Despite previous calls for more comparative studies in emerging market research, most of the literature is reporting on single-country studies. There is some confusion in terminology and the methods used in this area of strategy research. Increased attention to the “East” calls for a reevaluation of methods utilized in comparative studies. The methods described in this chapter present best practices for comparative research.

Social implications – More comparative studies would substantially expand our understanding of the differences between the emerging and developed markets, and the potential impact of emerging markets on global economy. Rigorous research methods extend validity and generalizability of the studies.

Originality/value – This chapter is the first study to date to analyze the methodological trends of the entire field of emerging market research over the span of 10 years and to provide systematic methodological recommendations tailored to analyzing variation in comparative studies.

The purpose of this paper is to develop the concept of a high performance alliance macro-culture as a multilevel construct reflective of resilient collaborative systems of exchange within strategic alliances and explores the distinct capabilities of this multilevel approach in predicting alliance outcomes.

The hypotheses developed in this study are tested using primary data collected from 650 members of 15 non-profit organizations in two multi-organizational collaborative networks. Considering the multilevel nature of the study the structural hypotheses are tested using a multilevel confirmatory factor analysis and the predictive hypotheses are tested using multilevel structural equation modeling.

All but one structural hypothesis are supported and all predictive hypotheses are supported suggesting that a multilevel macro-cultural conceptualization is effective in exploring the relationship between collaborative exchange systems and their outcomes.

Limitations stem from the generalizability of the data collected as the alliances formed by non-profit firms may not be wholly reflective of the alliance structures and goals of other firm types.

This study primarily contributes to multilevel study of strategic alliances and the study of collaborative norms and structures of allied groupings. The results of this study lend support to the importance of taking a network governance perspective and illustrate the limitations of traditional single-level approaches when studying interfirm collaborative networks and structural resilience therein.

Multilevel approaches are generally well suited to group communication because what people say and do in groups is a function of intra- and trans-individual mechanisms. This chapter first provides a brief overview of group research as a multilevel problem and then describes more modern approaches to modeling nested data using latent variable models, including multilevel structural equation modeling and latent class analysis. The chapter concludes by addressing conceptual opportunities provided by multilevel latent modeling approaches to group communication.

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 aimed to explore how the attributes of heritage destinations become constraints on tourists' intention to revisit these destinations and to provide stakeholders with strategies to mitigate travel constraints, thereby increasing tourists' revisit intention.

A quantitative research approach was used, and data collection utilised a convenience sampling method. A total of 1,250 tourists completed self-administered, on-site surveys. To analyse the collected data effectively and to test hypotheses, multilevel analysis models were created.

Heritage-destination attributes are found to mediate the impact of perceived constraints on tourists' intention to revisit heritage destinations. Positive perceptions of heritage and cultural attractions among tourists can mitigate the adverse effects of constraints on their intentions.

This study only focused on examining the downward cross-level impact, i.e. from the macro level to the individual level. This could be beneficial for exploring an upward cross-level impact.

The findings provide strategic guidance for marketing programs to enhance the reputation of heritage destinations. By identifying and establishing attributes specific to heritage destinations that visitors perceive as the most appealing, program designers can effectively target their efforts. Additionally, the findings help stakeholders of heritage destinations develop and provide suitable heritage and cultural attractions and tourism infrastructure in line with tourists' preferences.

This study employed a multilevel approach to examine how heritage-destination attributes and related constraints on travelling on impact individuals' intentions to revisit destinations. The study considered a macro-based perspective to analyse these effects.

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.