Data Analytics and Machine Learning paradigm to gauge performances combining classification, ranking and sorting for system analysis
Download full text from publisher
References listed on IDEAS
- Dmitri Kuksov & J. Miguel Villas-Boas, 2019. "The Performance Measurement Trap," Marketing Science, INFORMS, vol. 38(1), pages 68-87, January.
- J. Daniel Sherman & Robert T. Keller, 2011. "Suboptimal Assessment of Interunit Task Interdependence: Modes of Integration and Information Processing for Coordination Performance," Organization Science, INFORMS, vol. 22(1), pages 245-261, February.
- Aggarwal, Divya & Chandrasekaran, Shabana & Annamalai, Balamurugan, 2020. "A complete empirical ensemble mode decomposition and support vector machine-based approach to predict Bitcoin prices," Journal of Behavioral and Experimental Finance, Elsevier, vol. 27(C).
- Yue Maggie Zhou, 2013. "Designing for Complexity: Using Divisions and Hierarchy to Manage Complex Tasks," Organization Science, INFORMS, vol. 24(2), pages 339-355, April.
- Shannon W. Anderson & Amanda Kimball, 2019. "Evidence for the Feedback Role of Performance Measurement Systems," Management Science, INFORMS, vol. 65(9), pages 4385-4406, September.
- Margaret A. Abernethy & Henri C. Dekker & Jennifer Grafton, 2021. "The Influence of Performance Measurement on the Processual Dynamics of Strategic Change," Management Science, INFORMS, vol. 67(1), pages 640-659, January.
Most related itemsThese are the items that most often cite the same works as this one and are cited by the same works as this one.
- Abdelghani Es-Sajjade & Terry Wilkins, 2017. "Design, Perception and Behavior in the Innovation Era: Revisiting the Concept of Interdependence," Journal of Organization Design, Springer;Organizational Design Community, vol. 6(1), pages 1-12, December.
- Dietrichson, Jens, 2013. "Coordination Incentives, Performance Measurement and Resource Allocation in Public Sector Organizations," Working Papers 2013:26, Lund University, Department of Economics.
- Yue M. Zhou & Xiang Wan, 2017. "Product variety, sourcing complexity, and the bottleneck of coordination," Strategic Management Journal, Wiley Blackwell, vol. 38(8), pages 1569-1587, August.
- BjÃ¶rn Toelstede, 2020. "Social hierarchies in democracies and authoritarianism: The balance between power asymmetries and principal-agent chains," Rationality and Society, , vol. 32(3), pages 334-366, August.
- Gatti, Corrado & Volpe, Loredana & Vagnani, Gianluca, 2015. "Interdependence among productive activities: Implications for exploration and exploitation," Journal of Business Research, Elsevier, vol. 68(3), pages 711-722.
- Brice Dattée & James Barlow, 2017. "Multilevel Organizational Adaptation: Scale Invariance in the Scottish Healthcare System," Organization Science, INFORMS, vol. 28(2), pages 301-319, April.
- Tomasz Obloj & Metin Sengul, 2020. "What do multiple objectives really mean for performance? Empirical evidence from the French manufacturing sector," Strategic Management Journal, Wiley Blackwell, vol. 41(13), pages 2518-2547, December.
- Russo, Giovanni & Van Houten, Gijs, 2021. "Complex Job Design and Layers of Hierarchy," IZA Discussion Papers 14455, Institute of Labor Economics (IZA).
- Johann Piet Hausberg & Peter S. H. Leeflang, 2019. "Absorbing Integration: Empirical Evidence On The Mediating Role Of Absorptive Capacity Between Functional-/Cross-Functional Integration And Innovation Performance," International Journal of Innovation Management (ijim), World Scientific Publishing Co. Pte. Ltd., vol. 23(06), pages 1-37, August.
- Goodell, John W. & Kumar, Satish & Lim, Weng Marc & Pattnaik, Debidutta, 2021. "Artificial intelligence and machine learning in finance: Identifying foundations, themes, and research clusters from bibliometric analysis," Journal of Behavioral and Experimental Finance, Elsevier, vol. 32(C).
- Nicolay Worren & Tore Christiansen & Kim Verner Soldal, 2020. "Using an algorithmic approach for grouping roles and sub-units," Journal of Organization Design, Springer;Organizational Design Community, vol. 9(1), pages 1-19, December.
- Baier, Elisabeth & Rammer, Christian & Schubert, Torben, 2015.
"The Impact of Captive Innovation Offshoring on the Effectiveness of Organizational Adaptation,"
Journal of International Management, Elsevier, vol. 21(2), pages 150-165.
- Baier, Elisabeth & Rammer, Christian & Schubert, Torben, 2015. "The Impact of Captive Innovation Offshoring on the Effectiveness of Organizational Adaptation," Papers in Innovation Studies 2015/22, Lund University, CIRCLE - Centre for Innovation Research.
- Yue Maggie Zhou, 2015. "Supervising Across Borders: The Case of Multinational Hierarchies," Organization Science, INFORMS, vol. 26(1), pages 277-292, February.
- Samuka Mohanty & Rajashree Dash, 2022. "Neural Network-Based Bitcoin Pricing Using a New Mutated Climb Monkey Algorithm with TOPSIS Analysis for Sustainable Development," Mathematics, MDPI, vol. 10(22), pages 1-23, November.
- Daniel Albert, 2018. "Organizational Module Design and Architectural Inertia: Evidence from Structural Recombination of Business Divisions," Organization Science, INFORMS, vol. 29(5), pages 890-911, October.
- Dietrichson, Jens & Gudmundsson, Jens & Jochem, Torsten, 2014. "Let's Talk It Over: Communication and Coordination in Teams," Working Papers 2014:2, Lund University, Department of Economics, revised 18 Apr 2018.
- Manning, Stephan & Reinecke, Juliane, 2016. "A modular governance architecture in-the-making: How transnational standard-setters govern sustainability transitions," Research Policy, Elsevier, vol. 45(3), pages 618-633.
- Manthei, Kathrin & Sliwka, Dirk & Vogelsang, Timo, 2021. "Information Provision, Incentives, and Attention: A Field Experiment on Facilitating and Influencing Managers' Decisions," IZA Discussion Papers 14199, Institute of Labor Economics (IZA).
- Dietrichson, Jens & Jochem, Torsten, 2014. "Organizational coordination and costly communication with boundedly rational agents," Comparative Institutional Analysis Working Paper Series 2014:1, Lund University, Comparative Institutional Analysis, School of Economics and Management.
- John Joseph & Alex J. Wilson, 2018. "The growth of the firm: An attention‐based view," Strategic Management Journal, Wiley Blackwell, vol. 39(6), pages 1779-1800, June.
More about this item
KeywordsPerformance Analysis; Data Analytics; Support Vector Machines; Human Resources;
All these keywords.
- M51 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Personnel Economics - - - Firm Employment Decisions; Promotions
- C38 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Classification Methdos; Cluster Analysis; Principal Components; Factor Analysis
NEP fieldsThis paper has been announced in the following NEP Reports:
- NEP-BIG-2021-08-09 (Big Data)
- NEP-CMP-2021-08-09 (Computational Economics)
- NEP-ORE-2021-08-09 (Operations Research)
StatisticsAccess and download statistics
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:vnm:wpdman:182. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: . General contact details of provider: https://edirc.repec.org/data/mdvenit.html .
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Marco LiCalzi (email available below). General contact details of provider: https://edirc.repec.org/data/mdvenit.html .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.