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Artículos de revistas sobre el tema "Multi-Level framework"

Autor: Grafiati

Publicado: 30 de noviembre de 2024

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1

Lenka, Sambit, Vinit Parida, David Rönnberg Sjödin, and Joakim Wincent. "Towards a multi-level servitization framework." International Journal of Operations & Production Management 38, no. 3 (2018): 810–27. http://dx.doi.org/10.1108/ijopm-09-2016-0542.

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Purpose The dominant-view within servitization literature presupposes a progressive transition from product to service orientation. In reality, however, many manufacturing firms maintain both product and service orientations throughout their servitization journey. Using the theoretical lens of organizational ambivalence, the purpose of this paper is to explore the triggers, manifestation and consequences of these conflicting orientations. Design/methodology/approach A multiple case study method was used to analyze five large manufacturing firms that were engaged in servitization. Semi-structured interviews were conducted with 35 respondents across different functions within these firms. Findings Servitizing firms experience organizational ambivalence during servitization because of co-existing product and service orientations. This paper provides a framework that identifies the triggers of this ambivalence, its multi-level manifestation and its consequences. These provide implications for explaining why firms struggle to implement servitization strategies due to co-existing product and services orientations. Understanding organizational ambivalence, provides opportunity to manage related challenges and can be vital to successful servitization. Originality/value Considering the theoretical concept of ambivalence could advance the understanding of the effects and implications of conflicting orientations during servitization in manufacturing firms.

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2

Jia, Xinyu, and Costas Papadimitriou. "Hierarchical Bayesian learning framework for multi-level modeling using multi-level data." Mechanical Systems and Signal Processing 179 (November 2022): 109179. http://dx.doi.org/10.1016/j.ymssp.2022.109179.

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3

Morland, Kate V., Dermot Breslin, and Fionn Stevenson. "Development of a multi-level learning framework." Learning Organization 26, no. 1 (2019): 78–96. http://dx.doi.org/10.1108/tlo-04-2018-0080.

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Purpose This paper aims to examine multiple learning cycles across a UK housebuilder organization following changes made to their quality management routine at the organizational level, through to subsequent understanding and enactment at the level of the individuals involved. Design/methodology/approach This study uses a qualitative case study methodology based on an analysis of six-weeks of participant observation, semi-structured ethnographic interviews and documentation within three of the organization’s regional offices. Through an abductive process, it draws on gathered data and extant literature to develop a multi-level learning model. Findings Four levels of learning cycles are observed within the model: individual, team (within which inter-organizational relationships nest), region and organization. Three inter-related factors are identified as influencing feed-forward and feedback across the levels: time, communication and trust. The impact of these levels and factors on the process of learning is conceptualized through the metaphor of coupling and decoupling and discussed using examples from housing development projects. Originality/value While previous models of organizational learning highlight important multi-level interaction effects, they do not explore how the different levels of learning synchronize over time for learning to move between them. This paper addresses this gap by shedding important light on how layers of learning synchronize and why and when this can occur within multi-level organizations.

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4

Adobor, Henry. "Supply chain resilience: a multi-level framework." International Journal of Logistics Research and Applications 22, no. 6 (2018): 533–56. http://dx.doi.org/10.1080/13675567.2018.1551483.

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5

Dov, Zohar. "Safety climate and beyond: A multi-level multi-climate framework." Safety Science 46, no. 3 (2008): 376–87. http://dx.doi.org/10.1016/j.ssci.2007.03.006.

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6

Gupta, Divyansh, Bruno Artacho, and Andreas Savakis. "HandyPose: Multi-level framework for hand pose estimation." Pattern Recognition 128 (August 2022): 108674. http://dx.doi.org/10.1016/j.patcog.2022.108674.

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7

Liu, Zhongqiang, Farrokh Nadim, Alexander Garcia-Aristizabal, Arnaud Mignan, Kevin Fleming, and Byron Quan Luna. "A three-level framework for multi-risk assessment." Georisk: Assessment and Management of Risk for Engineered Systems and Geohazards 9, no. 2 (2015): 59–74. http://dx.doi.org/10.1080/17499518.2015.1041989.

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8

Bélanger, France, Mary Beth Watson-Manheim, and Bret R. Swan. "A multi-level socio-technical systems telecommuting framework." Behaviour & Information Technology 32, no. 12 (2013): 1257–79. http://dx.doi.org/10.1080/0144929x.2012.705894.

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9

Palanski, Michael E., and Francis J. Yammarino. "Integrity and leadership: A multi-level conceptual framework." Leadership Quarterly 20, no. 3 (2009): 405–20. http://dx.doi.org/10.1016/j.leaqua.2009.03.008.

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10

Qu, Wen Guang, Zhiyong Yang, and Zhongming Wang. "Multi-level framework of open source software adoption." Journal of Business Research 64, no. 9 (2011): 997–1003. http://dx.doi.org/10.1016/j.jbusres.2010.11.023.

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11

Khamparia, Aditya, Sagar Pande, Deepak Gupta, Ashish Khanna, and Arun Kumar Sangaiah. "Multi-level framework for anomaly detection in social networking." Library Hi Tech 38, no. 2 (2020): 350–66. http://dx.doi.org/10.1108/lht-01-2019-0023.

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Purpose The purpose of this paper is to propose a structured multilevel system that will distinguish the anomalies present in different online social networks (OSN). Design/methodology/approach Author first reviewed the related work, and then, the research model designed was explained. Furthermore, the details regarding Levels 1 and 2 were narrated. Findings By using the proposed technique, FScore obtained for Twitter and Facebook data set was 96.22 and 94.63, respectively. Research limitations/implications Four data sets were used for the experiment and the acquired outcomes demonstrate enhancement over the current existing frameworks. Originality/value This paper designed a multilevel framework that can be used to detect the anomalies present in the OSN.

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12

Wang, Zhiwei, Hui Liu, Jiliang Tang, Songfan Yang, Gale Yan Huang, and Zitao Liu. "Learning Multi-Level Dependencies for Robust Word Recognition." Proceedings of the AAAI Conference on Artificial Intelligence 34, no. 05 (2020): 9250–57. http://dx.doi.org/10.1609/aaai.v34i05.6463.

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Robust language processing systems are becoming increasingly important given the recent awareness of dangerous situations where brittle machine learning models can be easily broken with the presence of noises. In this paper, we introduce a robust word recognition framework that captures multi-level sequential dependencies in noised sentences. The proposed framework employs a sequence-to-sequence model over characters of each word, whose output is given to a word-level bi-directional recurrent neural network. We conduct extensive experiments to verify the effectiveness of the framework. The results show that the proposed framework outperforms state-of-the-art methods by a large margin and they also suggest that character-level dependencies can play an important role in word recognition. The code of the proposed framework and the major experiments are publicly available1.

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13

SUN, Cheng-Jie, Xiao-Long WANG, Lei LIN, and Yuan-Chao LIU. "A Multi-level Disambiguation Framework for Gene Name Normalization." Acta Automatica Sinica 35, no. 2 (2009): 193–97. http://dx.doi.org/10.3724/sp.j.1004.2009.00193.

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14

Nishii, Lisa H., and Hannes Leroy. "A Multi-Level Framework of Inclusive Leadership in Organizations." Group & Organization Management 47, no. 4 (2022): 683–722. http://dx.doi.org/10.1177/10596011221111505.

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15

Operti, Elisa, and Amit Kumar. "Network Structure And Regional Innovation: A Multi-Level Framework." Academy of Management Proceedings 2021, no. 1 (2021): 15868. http://dx.doi.org/10.5465/ambpp.2021.15868abstract.

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16

Durugbo, Christopher. "Collaborative networks: a systematic review and multi-level framework." International Journal of Production Research 54, no. 12 (2015): 3749–76. http://dx.doi.org/10.1080/00207543.2015.1122249.

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17

Cheung, W. M., and Y. C. Cheng. "A multi‐level framework for self‐management in school." International Journal of Educational Management 10, no. 1 (1996): 17–29. http://dx.doi.org/10.1108/09513549610105335.

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18

Hur, Taeho, and Sungyoung Lee. "Multi-Level Fusion Activity Recognition Framework using Smart Devices." Journal of KIISE 45, no. 9 (2018): 950–56. http://dx.doi.org/10.5626/jok.2018.45.9.950.

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19

Warleigh, Alex. "History repeating? Framework theory and Europe's multi‐level confederation." Journal of European Integration 22, no. 2 (2000): 173–200. http://dx.doi.org/10.1080/07036330008429084.

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20

SUN, Cheng-Jie, Xiao-Long WANG, Lei LIN, and Yuan-Chao LIU. "A Multi-level Disambiguation Framework for Gene Name Normalization." Acta Automatica Sinica 35, no. 2 (2009): 193–97. http://dx.doi.org/10.1016/s1874-1029(08)60073-7.

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21

Leung Pah Hang, Melissa Yuling, Elias Martinez-Hernandez, Matthew Leach, and Aidong Yang. "Towards a coherent multi-level framework for resource accounting." Journal of Cleaner Production 125 (July 2016): 204–15. http://dx.doi.org/10.1016/j.jclepro.2016.03.031.

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22

Braunstein, Laura Martin, James J. Gross, and Kevin N. Ochsner. "Explicit and implicit emotion regulation: a multi-level framework." Social Cognitive and Affective Neuroscience 12, no. 10 (2017): 1545–57. http://dx.doi.org/10.1093/scan/nsx096.

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23

Omidi, Mahdi, Qingfei Min, Ali Omidi, and Shaofeng Liu. "Multi-level analysis framework for reviewing IDT-based studies." Cogent Business & Management 4, no. 1 (2017): 1339338. http://dx.doi.org/10.1080/23311975.2017.1339338.

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24

Liang, Jiongqian, Saket Gurukar, and Srinivasan Parthasarathy. "MILE: A Multi-Level Framework for Scalable Graph Embedding." Proceedings of the International AAAI Conference on Web and Social Media 15 (May 22, 2021): 361–72. http://dx.doi.org/10.1609/icwsm.v15i1.18067.

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Recently there has been a surge of interest in designing graph embedding methods. Few, if any, can scale to a large-sized graph with millions of nodes due to both computational complexity and memory requirements. In this paper, we relax this limitation by introducing the MultI-Level Embedding (MILE) framework – a generic methodology allowing contemporary graph embedding methods to scale to large graphs. MILE repeatedly coarsens the graph into smaller ones using a hybrid matching technique to maintain the backbone structure of the graph. It then applies existing embedding methods on the coarsest graph and refines the embeddings to the original graph through a graph convolution neural network that it learns. The proposed MILE framework is agnostic to the underlying graph embedding techniques and can be applied to many existing graph embedding methods without modifying them. We employ our framework on several popular graph embedding techniques and conduct embedding for real-world graphs. Experimental results on five large-scale datasets demonstrate that MILE significantly boosts the speed (order of magnitude) of graph embedding while generating embeddings of better quality, for the task of node classification. MILE can comfortably scale to a graph with 9 million nodes and 40 million edges, on which existing methods run out of memory or take too long to compute on a modern workstation. Our code and data are publicly available with detailed instructions for adding new base embedding methods: https://github.com/jiongqian/MILE.

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25

Sadeghi, Payam, Morad Benyoucef, and Craig E. Kuziemsky. "A mashup based framework for multi level healthcare interoperability." Information Systems Frontiers 14, no. 1 (2011): 57–72. http://dx.doi.org/10.1007/s10796-011-9306-0.

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26

Tarique, Ibraiz, and Randall Schuler. "A multi-level framework for understanding global talent management systems for high talent expatriates within and across subsidiaries of MNEs." Journal of Global Mobility 6, no. 1 (2018): 79–101. http://dx.doi.org/10.1108/jgm-07-2017-0026.

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Purpose 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. Design/methodology/approach 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. Findings 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). Research limitations/implications 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. Practical implications 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. Originality/value 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.

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27

Michalski, Joseph. "An Integrated, Multi-Level Approach to Interpersonal Aggression and Family Violence." Athens Journal of Social Sciences 11, no. 2 (2024): 65–94. http://dx.doi.org/10.30958/ajss.11-2-1.

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The study of interpersonal aggression has been carried out for the most part in separate spheres by experts from an array of academic disciplines. To advance a deeper understanding of these issues, however, requires a more conciliatory and interdisciplinary approach. The article offers just such an integrated approach, using a multi-level heuristic framework that has direct parallels with ecological modeling. In addition, the approach expands the analytic focus to reflect different aspects of complex human behavior, which include: 1) the behavioral investment framework, or the bio-psychological reality of the human animal; 2) the socialization framework, or the social psychological aspects of human learning and development; 3) the justification framework, or the language, knowledge, and meaning systems that one acquires to facilitate interpersonal communication and to justify one’s actions; 4) the social location framework, or the social interactional dynamics of interpersonal relationships that animate one’s daily life as a member of various groups and social networks; and 5) the societal context framework, or the broader institutional forms and sociocultural conditions within which individuals and groups are situated. The current approach bridges human neurophysiology and psychology with sociology in a developmental, ecological context that examines each dimension of human behavior. While the five dimensions can be separated analytically, in practice these overlap to exert multiple influences. Such a conciliatory framing permits a more comprehensive analysis of human social animals as situated within their natural environments. The paper outlines how each of the five levels contributes to expressions of interpersonal aggression by elaborating on key mechanisms that operate across the different levels of informational complexity. Several examples of empirical research are cited to illustrate the core principles that operate within and across the five complementary frameworks. Keywords: interpersonal aggression, violence, ecological model, integrated framework

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28

van Houten, Pieter. "Multi-Level Relations in Political Parties." Party Politics 15, no. 2 (2009): 137–56. http://dx.doi.org/10.1177/1354068808099978.

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Most political parties operate on several territorial levels, but we have only limited theoretical understanding of multi-level party dynamics. This article presents a delegation framework for studying the interaction between the national leadership and regional branches in state-wide parties. Assuming a principal—agent relationship, the national leadership can obtain benefits from delegating tasks to a regional branch, but also faces possible costs in doing this. The rules and conventions regulating the multi-level interaction in parties are possible mechanisms by which to control the actions and policies of regional branches. These include formal party rules, informal party procedures and conventions, and state laws affecting party organizations. The framework provides an agenda and hypotheses for empirical research, research that should focus on crisis situations in parties, on what regional branches cannot do (instead of just documenting the activities of branches), and on the role of parties in shaping state laws and regulations.

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29

de Bruin, Anne. "Multi-Level Entrepreneurship in the Creative Industries." International Journal of Entrepreneurship and Innovation 6, no. 3 (2005): 143–50. http://dx.doi.org/10.5367/0000000054662791.

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This paper situates the context for entrepreneurship in the creative industries sector in New Zealand. Setting promotion of the creative industries against an overarching national context of the government's Growth and Innovation Framework, the focus of the paper is the screen production industry, mainly the film industry. Buoyed by The Lord of the Rings –The Return of the King's Oscar success and other acclaim, the industry appears to be surfing high waves, making it an interesting case to examine. Commencing with delineation of the nature of entrepreneurship in the creative sector, the discussion continues within an integrative multi-level entrepreneurship framework.

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Bran, Florina, Dumitru Alexandru Bodislav, and Carmen Valentina Rădulescu. "European Multi-Level Governance." European Journal of Sustainable Development 8, no. 5 (2019): 66. http://dx.doi.org/10.14207/ejsd.2019.v8n5p66.

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This paper represents an overview of the concept of multi-level governance and the approach delivered on innovation at European level with the purpose of helping and empowering researchers and businesses to thrive in a technologically advanced economy. The concept of multi-level governance derives from the analysis of the institutional framework for the development of Community policies and the Community political process. This stems from the presumption that the Community governance system has a high degree of differentiation and integration both vertically and horizontally. The multi-level governance model illustrates how certain competences of the national state are transferred to the supranational level or to the public or private sub-national authorities. Within this model, we can meet both supranational actors and actors at national, regional or local levels. This type of governance is characterized by the existence of a limited number of authorities, divided so as to be able to perform more functions, excluding their overlapping to exercise exclusively competences on delimited territories. Multi-level governance in innovation is characterized by a national transition as a unique place for the development and implementation of innovation policy, both at supranational and sub-national levels. Keyword: multi-level governance, European Union, development, social cohesion, institutions

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31

Saittakari, Iiris. "Where Are Headquarters Located? Building a Multi-Level Theoretical Framework." Academy of Management Proceedings 2019, no. 1 (2019): 19593. http://dx.doi.org/10.5465/ambpp.2019.19593abstract.

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Vyas, A. "MULTI-LEVEL EDUCATION AND CAPACITY BUILDING FRAMEWORK FOR TECHNOLOGY ADAPTATION." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLIII-B5-2020 (August 24, 2020): 23–27. http://dx.doi.org/10.5194/isprs-archives-xliii-b5-2020-23-2020.

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Abstract. Advancements in the Geospatial Technology has brought about benefits to various fields in science and technology. The education and the capacity building of geospatial technology plays a very important role within these fields. The current practice of the education is basically dominated by the teacher, huge syllabus, non-relevant knowledge and having very little opportunity for the discussions between the students and teachers. Instead of the unidirectional, monolithic, rigid and traditional teaching in practice, it requires a change to dynamic, evolving, in-process and gradual system of learning to shape the knowledge society. This generates creative, innovative human beings to train them to perform based on the scientific reasoning and empirical evidence in their respective fields. In order to develop, there are three important components: content, practice and cross-cutting to be established as a strategy in the data savvy environment. The ‘content’ may shift to more emphasis on higher order skills of constructing explanations, the ‘practice’ would enhance critical thinking as well as synthesis and ‘cross-cutting’ would synergize the performance expectations. Hence, the modified education and capacity building programmes advocate to move to a competency based model and the imperatives motivate the better use of the technology. This paper explains multiple levels that exists across academic, research and practitioner community that have potential to benefit from geospatial technology and it determines appropriate curriculum, pedagogy and evaluation strategies. It also maps an appropriate framework and approaches for multi-level education and capacity building considering the recent developments in geospatial technology.

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HARQUAIL, CEILA VIRGINIA, and ADELAIDE WILCOX KING. "ORGANIZATIONAL IDENTITY AND EMBODIED COGNITION: A MULTI-LEVEL CONCEPTUAL FRAMEWORK." Academy of Management Proceedings 2003, no. 1 (2003): E1—E6. http://dx.doi.org/10.5465/ambpp.2003.13792529.

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J. G. R. Sathiaseelan, S. Albert Rabara, and J. Ronald Martin. "MLSF: A Framework for Multi-Level Secure Composite Web Services." INTERNATIONAL JOURNAL ON Advances in Information Sciences and Service Sciences 2, no. 4 (2010): 71–78. http://dx.doi.org/10.4156/aiss.vol2.issue4.8.

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Choi, Jung-Gu, Inhwan Ko, Jeongjae Kim, Yeseul Jeon, and Sanghoon Han. "Machine Learning Framework for Multi-Level Classification of Company Revenue." IEEE Access 9 (2021): 96739–50. http://dx.doi.org/10.1109/access.2021.3088874.

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Sun, Dawei, Shang Gao, Xunyun Liu, and Rajkumar Buyya. "A multi-level collaborative framework for elastic stream computing systems." Future Generation Computer Systems 128 (March 2022): 117–31. http://dx.doi.org/10.1016/j.future.2021.10.005.

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Hemalatha, C. Sweetlin, V. Vaidehi, K. Nithya, A. Annis Fathima, M. Visalakshi, and M. Saranya. "Multi-Level Search Space Reduction Framework for Face Image Database." International Journal of Intelligent Information Technologies 11, no. 1 (2015): 12–29. http://dx.doi.org/10.4018/ijiit.2015010102.

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In face recognition, searching and retrieval of relevant images from a large database form a major task. Recognition time is greatly related to the dimensionality of the original data and the number of training samples. This demands the selection of discriminant features that produce similar results as the entire set and a reduced search space. To address this issue, a Multi-Level Search Space Reduction framework for large scale face image database is proposed. The proposed approach identifies discriminating features and groups face images sharing similar properties using feature-weighted Fuzzy C-Means approach. A hierarchical tree model is then constructed inside every cluster based on the discriminating features which enables a branch based selection, thereby reducing the search space. The proposed framework is tested on three benchmark and two self-created databases. The experimental results show that the proposed method achieved an average accuracy of 93% and an average search time reduction of 66% compared to existing approaches for search space reduction of face recognition.

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Gittell, Jody Hoffer, and Leigh Weiss. "Coordination Networks Within and Across Organizations: A Multi-level Framework*." Journal of Management Studies 41, no. 1 (2004): 127–53. http://dx.doi.org/10.1111/j.1467-6486.2004.00424.x.

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Gauzente, Claire, and Régis Dumoulin. "Franchising choice in retail networks: a multi-level institutional framework." International Review of Retail, Distribution and Consumer Research 22, no. 4 (2012): 385–96. http://dx.doi.org/10.1080/09593969.2012.690779.

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Zhang, Haoliang, Jinqiao Shi, and Xiaojun Chen. "A Multi-Level Analysis Framework in Network Security Situation Awareness." Procedia Computer Science 17 (2013): 530–36. http://dx.doi.org/10.1016/j.procs.2013.05.068.

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Lin, Ning, Weichuan Yu, and James S. Duncan. "Combinative multi-scale level set framework for echocardiographic image segmentation." Medical Image Analysis 7, no. 4 (2003): 529–37. http://dx.doi.org/10.1016/s1361-8415(03)00035-5.

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Lee, Rich C. "A Service Oriented Analytics Framework for Multi-Level Marketing Business." Journal of Software Engineering and Applications 05, no. 08 (2012): 527–35. http://dx.doi.org/10.4236/jsea.2012.58061.

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Erel, Umut, and Louise Ryan. "Migrant Capitals: Proposing a Multi-Level Spatio-Temporal Analytical Framework." Sociology 53, no. 2 (2018): 246–63. http://dx.doi.org/10.1177/0038038518785298.

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This article explores how migrants utilize and access different forms of capital. Using a Bourdieusian approach to capital, we focus on how migrants’ temporal and spatial journeys are shaped by and in turn shape their opportunities to mobilize resources and convert them into capitals. These processes depend on migrants’ social positioning, including their gender, class, ethnic and national positioning, as well as citizenship status, and how this is articulated in relation to different fields in different spatial and temporal contexts. Drawing upon our combined corpus of data on migration to the UK, and a lesser extent Germany, with third country nationals and EU citizens and new data collected since the Brexit referendum, we examine these issues through biographical approaches to migrant women’s life stories. In so doing, we build theory on capital accumulation as dynamic, multi-level and spatio-temporally contingent.

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Frash, Robert, Sheryl Kline, Barbara Almanza, and John Antun. "Support for a Multi-Level Evaluation Framework in Hospitality Training." Journal of Human Resources in Hospitality & Tourism 7, no. 2 (2008): 197–218. http://dx.doi.org/10.1080/15332840802156949.

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Bellamy, Chloe, Katherine Boughey, Charlotte Hawkins, et al. "A sequential multi-level framework to improve habitat suitability modelling." Landscape Ecology 35, no. 4 (2020): 1001–20. http://dx.doi.org/10.1007/s10980-020-00987-w.

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Ness, Barry, Stefan Anderberg, and Lennart Olsson. "Structuring problems in sustainability science: The multi-level DPSIR framework." Geoforum 41, no. 3 (2010): 479–88. http://dx.doi.org/10.1016/j.geoforum.2009.12.005.

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Raja, Anita, and Victor Lesser. "A framework for meta-level control in multi-agent systems." Autonomous Agents and Multi-Agent Systems 15, no. 2 (2007): 147–96. http://dx.doi.org/10.1007/s10458-006-9008-z.

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Chang, Donghoon, Surabhi Garg, Mohona Ghosh, and Munawar Hasan. "BIOFUSE: A framework for multi-biometric fusion on biocryptosystem level." Information Sciences 546 (February 2021): 481–511. http://dx.doi.org/10.1016/j.ins.2020.08.065.

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Banaeian Far, Saeed, Maryam Rajabzadeh Asaar, and Afrooz Haghbin. "A privacy-preserving framework for blockchain-based multi-level marketing." Computers & Industrial Engineering 177 (March 2023): 109095. http://dx.doi.org/10.1016/j.cie.2023.109095.

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Chen, Guoying, Xinyu Wang, Min Hua, and Wei Liu. "Multi-level decision framework collision avoidance algorithm in emergency scenarios." International Journal of Vehicle Design 95, no. 3/4 (2024): 155–85. http://dx.doi.org/10.1504/ijvd.2024.139186.

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