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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.

Traditional adaptive analysis based on a coarse mesh, using finite element method (FEM) analysis, produces the original solution. Then post-processing the result and figuring out the regions should be refined and these regions refined once. Finally, this new mesh is used to get the solution of first refinement. After several iterations of above procedures, we can achieve the last result that is closer to the true solution, which takes time, making adaptive scheme inpractical to engineering application. The paper aims to discuss these issues.

This paper based on FEM proposes a multi-level refinement strategy with a refinement strategy and an indicator. The proposed indicator uses value of the maximum difference of strain energy density among the elements that associated with one node, and divides all nodes into several categories based on the value. A multi-level refinement strategy is proposed according to which category the node belongs to refine different elements to different times rather than whether refine or not.

Multi-level refinement strategy takes full use of the numerical calculation, resulting in the whole adaptive analysis that only need to iterate twice while other schemes must iterate more times. Using much less times of numerical calculation and approaches, more accurate solution, making adaptive analysis more practical to engineering.

Multi-level refinement strategy takes full use of the numerical calculation, resulting in the whole adaptive analysis only need iterate twice while other schemes must iterate more times. using much less times of numerical calculation and approaches more accurate solution, making adaptive analysis more practical to engineering.

The purpose of this paper is to propose novel factored approximate sparse inverse schemes and multi-level methods for the solution of large sparse linear systems.

The main motive for the derivation of the various generic preconditioning schemes lies to the efficiency and effectiveness of factored preconditioning schemes in conjunction with Krylov subspace iterative methods as well as multi-level techniques for solving various model problems. Factored approximate inverses, namely, Generic Factored Approximate Sparse Inverse, require less fill-in and are computed faster due to the reduced number of nonzero elements. A modified column wise approach, namely, Modified Generic Factored Approximate Sparse Inverse, is also proposed to further enhance performance. The multi-level approximate inverse scheme, namely, Multi-level Algebraic Recursive Generic Approximate Inverse Solver, utilizes a multi-level hierarchy formed using Block Independent Set reordering scheme and an approximation of the Schur complement that results in the solution of reduced order linear systems thus enhancing performance and convergence behavior. Moreover, a theoretical estimate for the quality of the multi-level approximate inverse is also provided.

Application of the proposed schemes to various model problems is discussed and numerical results are given concerning the convergence behavior and the convergence factors. The results are comparatively better than results by other researchers for some of the model problems.

Further enhancements are investigated for the proposed factored approximate inverse schemes as well as the multi-level techniques to improve quality of the schemes. Furthermore, the proposed schemes rely on the definition of multiple parameters that for some problems require thorough testing, thus adaptive techniques to define the values of the various parameters are currently under research. Moreover, parallel schemes will be investigated.

The proposed approximate inverse preconditioning schemes as well as multi-level schemes are efficient computational methods that are valuable for computer scientists and for scientists and engineers in engineering computations.

This study aims to explore the complex, multi-level institutional dynamics of smart city reforms and projects and their potential sustainability pressures on the implementation of a management accounting system in an Egyptian state-owned enterprise (SOE), which has a politically sensitive institutional character.

This study adds to institutional management accounting research using a multi-level perspective of institutional dynamics in the smart city context. Data were collected from an interpretive case study of an Egyptian SOE that was under socio-political sustainability pressures to implement a smart electricity network project in New Minya city.

Smart city projects have formed social and political sustainability pressures, which introduced the enterprise resource planning (ERP) network as a new management accounting system. A new (complex and multi-level) management accounting system was invented to reinvent the sustainable city as an “accounting city” (which appeared rhetorically as a “smart city”). “Smart” being the visibility and measurability of the sustainability performance of the collective body, which calls the city and its connectivity to different institutional levels brought out in a city network project for the ERP-enabled electricity distribution.

This study examines a single case study from a single smart city and identifies the accounting community’s need for multiple and comparative case studies to further analyse the potential impact of smart city reforms and projects on the sustainable implementation of management accounting systems.

City policymakers and managers may benefit from the practical findings of this interpretive field-based case study in planning, implementing and monitoring smart city projects and objectives.

Individual and collective well-being may be enhanced through new management accounting forms of multi-level local governance and increased political, field and organisational sustainability.

This study provides important insights into the sustainability dynamics of management accounting in achieving smart city reforms. The achievement of sustainability management accounting systems has connected to multiple ERP roles at different institutional levels, which resulted in accommodating the socio-political objectives of smart city projects.

Sport participation is not exclusively determined by individual socio‐demographic factors (micro level) since infrastructure factors such as the availability of sport facilities and sport programmes (macro level) can also play a role in this regard. The purpose of this paper is to provide evidence for these determinants of sport participation using multi‐level analyses.

A survey among the resident population in the city of Munich was carried out in 2008 (n=11,715). Furthermore, secondary data on the available sport infrastructure in every urban district of Munich (n=25) were collected. Multi‐level analyses were conducted to find the micro and macro level determinants of sport participation.

The results show that aside from micro level factors, the availability of swimming pools and parks is especially important for residents’ sport activity. Moreover, sport activity in non‐profit sport clubs can be enhanced by both a good supply of sport programmes offered by sport clubs as well as a poor supply of programmes from commercial sport providers and the municipality.

Multi‐level analyses can be recommended for future research on sport participation. The use of GIS data would be fruitful in this regard.

It can be recommended that municipalities invest in the construction of swimming pools and parks.

The paper shows that multi‐level analyses are a relatively new method of analysis for research on sport participation and that they represent the most suitable approach for analysing multi‐level data.

The purpose of this paper is to explore the multi-faceted role of metaroutines in dealing with nested ambidexterity challenges experienced during new product introductions (NPIs) at Tata Motors, an Indian automotive giant.

This study utilizes an in-depth multi-level case study highlighting the ambidexterity dynamics across strategic, business unit and functional levels.

The authors visualize the NPI system found in the firm, including the interactions between structure, process and governance, as a metaroutine. Based on this visualization, the authors argue that certain ostensive (like voice of customer, commonality) and performative (role of leadership and creative recombination) aspects of the metaroutine aid exploratory and exploitative learning across levels at Tata Motors. Further, the authors argue that the role of embedded NPI metaroutine aspects in promoting multi-level ambidexterity offers a distinct form when compared with other academically established forms of structural, contextual and temporal ambidexterity.

This study focuses on the aspects of the NPI metaroutine that enable ambidexterity within the studied firm. The authors argue that apart from the structural, temporal and contextual mechanisms, managers also need to focus on the nuances of NPI metaroutines and their potential to promote ambidexterity across levels.

The authors visualize the interactions between the process, structure and governance mechanisms, related to NPI, as a metaroutine. The authors argue that metaroutine enabled approaches to ambidexterity offer a distinct form when compared with other academically established forms of structural, contextual and temporal ambidexterity. Also, metaroutine enabled ambidexterity explains a possible way through which multi-level ambidexterity can be promoted and managed within organizations.

The purpose of this paper is to explore the multi-level ambidexterity challenges through the metaroutine lens. Further, while confronting the ambidexterity challenges, it is found that what is paradox at one level can be understood as tradeoffs at another level. This study uses an in-depth multi-level case study of Tata Motors, an Indian automotive giant highlighting the ambidexterity dynamics across strategic, business unit and functional levels to demonstrate that paradoxes at the strategic level are converted to manageable tradeoffs at the business unit/ operational level. Also, metaroutine-enabled ambidexterity explains a possible way through which multi-level ambidexterity can be promoted and managed within organizations.

This study uses a case-based methodology (Eisenhardt, 1989) similar to the approach of Adler et al. (1999). The field research consisted of in-depth interviews, which focus on gathering information from the key involved members in the field, thus enabling us to understand how multi-level ambidexterity is promoted within Tata Motors. A semi-structured interview guide was used to collect data for this study.

The metaroutine lens offers an alternative route to explain the multi-level ambidexterity dynamics at Tata Motors. The ambidexterity questions at different levels in Tata Motors seem to be a mixture of paradoxes and tradeoffs. However, a key trend emerges. At the strategic and business unit level, the firm wanted to exploit their existing products and explore new customer segments. At the product level, the strategic and NPI core team wanted to best combine the customer centric explorations with exploitations resulting in cost savings. The ambidexterity questions at these two levels seem to be paradoxes. However, as the authors analyze the functional domains, it appears that each individual domain was working under increased constraints. Hence, the ambidexterity questions at the domain level seem to be a tradeoff based on the constraints faced by individual functional domains.

This study presents an in-depth multi-level case study of an Indian automotive giant, Tata Motors. The authors present the role of metaroutines in shaping the ambidexterity issues during the development of passenger vehicles. This study builds on the seminal work of Adler et al., 1999, and extends the discussion to the framing of the ambidexterity question as a paradox and/or a tradeoff. The core argument of this paper is that balancing opposite polarities in business models is basically a paradoxical issue in the exploitation/ exploration relationship.

Driven by increasing concerns for sustainable development and digitalization, intermediaries have emerged as relevant actors who can help supply chains tackle grand societal challenges. They can also trigger significant changes in structure, shape and governance models of supply chains. The goal of this research is to advance the understanding of supply chain intermediation and digital governance as coordinating mechanisms for enabling multi-level collective action to address the world's grand challenges.

This is a conceptual research paper that uses a vignette approach, where real examples are described to help question and expand theoretical insights and provide a basis for future research. The examples are drawn from past and ongoing extensive primary and secondary data collection efforts in diverse types of supply chains.

Three contexts are proposed to illustrate how intermediaries and digital governance can play a key role in helping supply chains tackle grand challenges. The first and second context highlight the differences between material and support flow intermediaries in a triadic supply chain relationship. The third context illustrates intermediation within a multi-level network which can be industry-specific or span across industries. The three contexts are evaluated on the level of intervention, the focus on material or support flows, and traditional or digital governance. The specific Sustainable Development Goals which can be tackled through intermediary intervention are also indicated.

Intermediaries are often hidden actors in global supply chains and have received limited attention in the academic literature. The conceptual foundation provided in this manuscript serves as the basis for future research opportunities. Three main avenues for further research in this domain are proposed: (1) novel forms of intermediation beyond economic and transactional arrangements; (2) novel forms of digital governance; and (3) translating multi-level collective action into sustainable development outcomes. Research on intermediation driven by sustainable development and digitalization trends can spur empirical advances in sustainable supply chain and operations management with important societal impact.

In this paper, the stability characteristics of a class of multi‐level dynamical systems are investigated. Certain results concerning single‐loop multi‐level systems due to Levins are generalized and, in addition, corresponding results concerning multi‐loop multi‐level systems are presented.

The purpose of this paper is to introduce a new concept in selecting the values of the DC source voltages in cascaded multi‐level inverters in order to improve the output voltage THD.

In cascaded multi‐level inverters, it is usually assumed that the DC sources have the same constant voltage and output harmonics minimization is accomplished by applying proper switching angles. Employing different DC voltages with proper ratios can result in further reduction of the harmonics. After formulation of the system, i.e. describing the inverter's output voltage components in terms of the switching angles and unequal DC source voltages, a rule is applied to obtain the step heights of the staircase output waveform (DC source voltages), so that the output waveform becomes as close to the required fundamental sine wave as possible. Substituting the obtained DC source voltages into the harmonics elimination equations results in a set of equations, which are functions of switching angles only. Solving these equations leads to proper switching angles, which, regardless of the fundamental component's value, provide the specified harmonic conditions. The output voltage is then controlled by DC sources voltage regulation.

Computer simulations show that employing the proposed concept results in substantial improvement in the harmonic minimization, as well as, extending the operating range of the inverter, compared to the conventional methods with equal DC source voltage multi‐level inverters.

The proposed concept according to which the ratio of the DC source voltages are determined, is original.