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The chapter attempts to evaluate the utility of applying multi-level governance outside of the EU, and also outside of the group of democratic states, to states that have defied the third wave of democratization and that are characterized by a so-called new authoritarianism. The case is the People’s Republic of China, and the focus falls on policy-making and implementation in the field of hydropower with special attention to the issue area of environmental protection.

The chapter draws on the notion of scales and indigenous Chinese governance concepts and brings these into a conversation with the concept of multi-level governance. Case studies on hydropower decision-making in China contribute empirical data in order to investigate the utility of multi-level governance in the Chinese governance context.

The chapter argues that if multi-level governance is to have utility in other cultural contexts it needs to move away from a consideration of pre-given scales as locus of authority and consider indigenous governance concepts and notions of scale, and it crucially needs to map power relationships in the making and implementation of policies in order to reach analytical depth.

The case of China shows that authoritarian regimes can be analysed in terms of multiple levels as authoritarianism no longer automatically implies strict top-down entities. Instead, autocracies can be highly fragmented and subject to complex decision-making processes that can arise during processes of administrative reform. This can lead to vibrant and reflexive systems of governance that exhibit adaptive skills necessary to ensure regime survival amidst a continuously diversifying society and changing external circumstances. As a consequence, a research programme looking at the new authoritarianism from a multi-level governance perspective has the capacity to uncover and describe new forms of governance, by bringing the concept into a conversation with indigenous governance concepts.

In China, informal networks between the energy bureaucracy and hydropower developers determine the hydropower decision-making process. This is particularly detrimental at a time when the Chinese government emphasizes the importance of the rule of law and social stability. Informal networks in which key government agencies are involved actively thwart the attempt of creating reliable institutions and more transparent and accountable processes of decision-making within the authoritarian governance framework.

The findings show the dominance of informal networks versus the formal decision-making process. This sidelines the environmental bureaucracy and fails to fully realize the importance of public input into the decision-making process as one potential element of institutionalized conflict resolution.

The chapter builds on existing multi-level governance approaches and fuses them with notions of scales and indigenous Chinese governance concepts in order to enable the applicability of the concept of multi-level governance outside of its area of origin. This advances the explanatory depth and theoretical reach of multi-level governance.

Researchers and practitioners are interested in developing frameworks that can improve the understanding of the emerging field of global talent management (GTM) within and across the subsidiaries of multinational enterprises (MNEs). A few studies have proposed such frameworks but only implicitly include constructs at different levels of analysis. This paper is a step toward bridging the gap. Grounded in multi-level theory, international human resources management (IHRM) frameworks, and the ability-motivation-opportunity model, the purpose of this paper is to develop a multi-level framework that describes the processes through which antecedents at four levels of analysis affect a subsidiary’s GTM system, which in turn directly affects outcomes at three levels of analysis.

This paper develops a multi-level framework that describes the processes through which antecedents at four levels of analysis affect a subsidiary’s GTM system. Along with including four levels of analysis and highlighting cross-level interactions in our proposed multi-level framework, several testable propositions are offered.

The framework developed in this paper depicts the causal relationship between the subsidiary IHRM strategy (subsidiary level) and subsidiary GTM system (subsidiary level), and the several moderating variables that specify conditions under which the subsidiary IHRM Strategy affects a subsidiary GTM system. The moderator variables include national culture distance (country level), MNE headquarters (HQ) orientation (MNE HQ level), and the required dynamic cross-cultural competencies (expatriate level). In addition, the framework shows the outcomes of a subsidiary’s GTM system across three levels: knowledge transfer (MNE HQ level), localization (subsidiary level), and cross-cultural learning (expatriate level). In the context of multi-level analyses (the authors discuss this next), the framework shows several top-down processes (e.g. P2, P4 and P5) and several bottom-up processes (e.g. P3 and P7).

The proposed multi-level framework describes important antecedents and outcomes of a subsidiary’s GTM system, and proposes several propositions for future empirical and theoretical research that could be the focus of a systematic research program and agenda on GTM in subsidiaries. In addition, the proposed framework enables us to advance the GTM literature by improving the understanding of and offering insights about the GTM system of a subsidiary, and specifically contribute to research in IHRM and GTM in a number of ways.

Existing scholarly GTM frameworks used by practitioners do not take into account the multi-level complexities that exist when a subsidiary IHRM strategy may not align with the subsidiary GTM system. As such, both practitioners and researchers would benefit by adopting a multi-level framework that accounts for these complexities and how they interact with one another to influence the way subsidiaries manage their expatriate talent.

By using multi-level theory to examine subsidiary GTM systems, the authors advance both the GTM literature and the IHRM literature. Overall, this paper attempts to shift the focus of each subsidiary’s GTM system to a broader, multi-level perspective and contribute to new theory building in GTM research, specifically in subsidiary GTM-MNE research and provide some thoughtful suggestions for HR practitioners wanting to enhance the effectiveness of their MNEs.

The purpose of this paper is to identify and expand upon the understanding of the reliability of high density interconnect (HDI) technologies containing multi‐level microvia interconnections with 2, 3 or 4 stacked and staggered configured structures.

Microvia testing was performed with interconnect stress testing (IST) using a modified methodology documented in the IPC test methods manual TM650, Method 2.6.26, titled DC current induced thermal cycle test. The IST coupon designs utilize mathematical modeling, in combination with prior experience in the fields of printed wiring board (PWB) processing, chemistry, materials and statistics, to improve the sensitivity of testing.

Single and 2 stack microvias are generally the most robust type of copper interconnection used in HDI applications, 3 stack and 4 stack require greater discipline to assure product reliability. Ranking the inherent reliability of 3 stack and 4 stack structures to other interconnects like plated through holes, blind, or buried vias, may need to be reconsidered in future reliability test programs.

This work was focused on the reliability of bare board and does not address failure modes associated with the additional stresses applied to the microvia structures created by the devices and their associated solder joints formed during surface mount assembly and rework operations.

This paper was written to improve the understanding of various aspects of design and their influence on reliability for stacked and staggered microvia structures. The design function must understand the physical construction as a critical influence on microvia reliability that should be taken into consideration in parallel with the electrical requirements.

Cross sector collaboration, particularly the use of Multi-Sectorial Partnerships, has recently developed as a crucial element of efforts to deliver and improve public service outcomes across developing countries. Yet for collaborations initiated to respond to emergencies, these have to cope with both a fluid problem and the context of operation. We utilise a literature grounded framework and draw on publicly accessible data on the empirical case study of the National COVID-19 Task Force (NTF) in Uganda to discern important considerations for effective governance of cross-sector initiatives in emergencies. Based on the analysis, we argue that a careful mix of considerations in the structures, processes and actors realms enable collaborative initiatives to remain effective in a continually evolving and wide scale response in emergency contexts. We specifically underscore the primacy of the adoption of whole-of-government approach, cascading of identical collaboration structures to lower levels of government, adoption of a unified communication strategy, participatory resource mobilisation and active involvement of initiative's champions. We have reinforced the enduring relevance of cross-sector initiatives for addressing wicked problems, foreshadowed ingredients for more agile partnerships and mainstreamed the consideration of evolving context in the collaboration discourse.

The purpose of this paper is to explore how Chinese enterprises overcome their lack of resource and capabilities and eventually fulfill global resource accumulation, fast innovative commercialization and significant technological breakthrough by establishing and coordinating innovation ecosystem at firm level.

This paper first reviewed the literature on the structure and coordinating mechanism of enterprise innovation ecosystem and identified two important gaps on the characteristics of ecosystem actors and the logic of innovative coordination. Then, the paper adopted grounded analysis about the construction and evolution of Haier’s innovation ecosystem based on longitudinal case data. On the basis of the case study, the construct of firm-level innovation ecosystem and new logic of coordination are formed.

This paper found the emerging phenomenon of sub-organizational ecosystem actors and depicted that the establishing process of firm-level innovation ecosystem went through three majors stages, and the corresponding coordinating logic changed from proactive intervention to reactive self-evolution.

This paper tried to make contributions to the studies of structure and coordinating mechanism of enterprise innovation ecosystem, and proposed the enterprise itself could build firm-level ecosystem within its organizational boundary and interact with external ecosystem. The findings enlightened the nested structure of ecosystem, opened the black box of organizational boundary and broke the limitation that existing researches only analyse innovation ecosystem at system level and regard firms as basic analytical unit. Besides, this paper proposed that the coordination of innovation ecosystem can be passively fulfilled by network effect and ecological evolution, where previous studies mainly focused on proactive institutional intervention and resource investment. This point could provide Chinese enterprises with good references.

Given the importance of the extent to which supervisors and their subordinates agree in their assessment of supervisors’ leadership, the purpose of this paper is to investigate the possible relationship between self-other agreement on supervisors’ transformational leadership and subordinates’ perceptions of supervisors’ in-role and extra-role performance, through the mediating role of leader-member exchange.

Self-other agreement was conceptualized as the degree of congruence between supervisors’ self-assessment and subordinates’ assessment of supervisors’ transformational leadership. Data were collected from 36 supervisors and 189 of their subordinates. Cross-level polynomial regressions and surface response analysis were used to analyze the hypothesized relationships.

Statistical analyses revealed that self-other agreement on idealized influence and individual support are positively associated with subordinates’ perception of leader-member exchange, and in turn leader member fully mediates the relationship between self-other agreement and subordinates’ perceptions regarding their supervisors’ performance. Results from polynomial analyses indicate that subordinates’ ratings of leader-member exchange would be highest for underestimator, second for in-agreement/good supervisors, third for in-agreement/poor and lowest for overestimator supervisors both for the idealized influence and individual support.

This is one of the pioneer studies investigating the potential relationship between self-other agreement on supervisors’ transformational leadership and the subordinates’ perceptions on their supervisors’ performance through social exchange. Since researchers have paid scant attention to intervening mechanisms, this study aims to extend previous research in the literature by investigating those associations through the mediating effect of leader-member exchange.

This paper provides an exploration of the concept and content of agile manufacturing (AM). It describes the nature of the content of AM and synthesises the literature to propose a comprehensive definition of purpose and process. Real agile manufacturing (RAM) is viewed as a strategic process; it is about surviving and prospering in the competitive environment of continuous and unpredictable change by reacting quickly and effectively to changing markets. The paper argues that RAM is evolutionary, in that it is developed from existing systems of management and technologies. However, it is also revolutionary because the full application of RAM involves a departure from existing systems. RAM is shown to be based upon four fundamentals. First, each partner must benefit; thus multiple winners (manufacturers, suppliers, customers) is the objective. Second, integration (recourses, methods, technologies, departments or organisations) is the means of achieving RAM. Third, IT is demonstrated to be an essential condition. Finally, core competence is seen to be the key.

This chapter reviews research on multi-level organizational justice. The first half of the chapter provides the historical context for this issue, discusses organizational-level antecedents to individual-level justice perceptions (i.e., culture and organizational structure), and then focuses on the study of justice climate. A summary model depicts the justice climate findings to date and gives recommendations for future research. The second half of the chapter discusses the process of justice climate emergence. Pulling from classical bottom-up and top-down climate emergence models as well as contemporary justice theory, it outlines a theoretical model whereby individual differences and environmental characteristics interact to influence justice judgments. Through a process of information sharing, shared and unique experiences, and interactions among group members, a justice climate emerges. The chapter concludes by presenting ideas about how such a process might be empirically modeled.

While scales were developed to measure individual adaptive performance (IAP), fewer contributions have been done to assess the construct at the team level of analysis. This issue is addressed through two related studies: Study 1 builds on Pulakos et al. (2000) to develop a measure of IAP. Study 2 follows from the results in Study 1 and tests a measure of team adaptive performance (Chan, 1998).

Scale development was done adopting a single level (Study 1) and multi-level (Study 2) structural equations modeling approach.

Results suggest that both measures of individual and team adaptive performance are reliable and show evidence supporting the adequacy of adopting referent-shift methodologies to the measurement and aggregation of team members’ rating of team adaptive performance.

The study offers a reliable, parsimonious and easy to apply measure of individual and team adaptive performance in organizational work environments.

The purpose of this paper is to identify the critical components of a complex system by using survival signature. First, a complex system is abstracted with varying scales and generates a multi-levels model. Then reliability evaluations can be conducted by survival signature from rough to fine for tracing and identifying them. Finally, the feasibility of the proposed approach is demonstrated by an actual production system.

The paper mainly applies a multi-level evaluating strategy for the reliability analysis of complex systems with components of multiple types. In addition, a multi-levels model of a complex system is constructed and survival signature also used for evaluation.

The proposed approach was demonstrated to be the feasibility by an actual production system that is used in the case study.

The case study was performed on a system with simple network structure, but the proposed approach could be applied to systems with complex ones. However, the approach to generate the digraphs of abstraction levels for complex system has to be developed.

So far the approach has been used for the reliability analysis of a machining system. The approach that is proposed for the identification of critical components also can be applied to make maintenance decision.

The multi-level evaluating strategy that was proposed for reliability analysis and the identification of critical components of complex systems was a novel method, and it also can be applied as index to make maintenance planning.