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Journal articles on the topic 'Data driven workforce performance planning'

Author: Grafiati

Published: 4 June 2021

Last updated: 19 February 2022

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1

Yip, Kenneth, Suk-King Pang, Kui-Tim Chan, Chi-Kuen Chan, and Tsz-Leung Lee. "Improving outpatient phlebotomy service efficiency and patient experience using discrete-event simulation." International Journal of Health Care Quality Assurance 29, no. 7 (2016): 733–43. http://dx.doi.org/10.1108/ijhcqa-08-2015-0093.

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Purpose – The purpose of this paper is to present a simulation modeling application to reconfigure the outpatient phlebotomy service of an acute regional and teaching hospital in Hong Kong, with an aim to improve service efficiency, shorten patient queuing time and enhance workforce utilization. Design/methodology/approach – The system was modeled as an inhomogeneous Poisson process and a discrete-event simulation model was developed to simulate the current setting, and to evaluate how various performance metrics would change if switched from a decentralized to a centralized model. Variations

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Chornous, Galyna O., and Viktoriya L. Gura. "Integration of Information Systems for Predictive Workforce Analytics: Models, Synergy, Security of Entrepreneurship." European Journal of Sustainable Development 9, no. 1 (2020): 83. http://dx.doi.org/10.14207/ejsd.2020.v9n1p83.

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The era of information economy leads to redesigning not only business models of organizations but also to rethinking the human resources paradigm to harness the power of state-of-the-art technology for Human Capital Management (HCM) optimization. Predictive analytics and computational intelligence will bring transformative change to HCM. This paper deals with issues of HCM optimization based on the models of predictive workforce analytics (WFA) and Business Intelligence (BI). The main trends in the implementation of predictive WFA in the world and in Ukraine, as well as the need to protect bus

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Chakraborty, Debarun, and Wendrila Biswas. "Articulating the value of human resource planning (HRP) activities in augmenting organizational performance toward a sustained competitive firm." Journal of Asia Business Studies 14, no. 1 (2020): 62–90. http://dx.doi.org/10.1108/jabs-01-2019-0025.

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Purpose The momentum of globalization has helped the organization to gain new insights into the domain of human resources (HRs). The changing nature of work has affected the coherence of the workplaces. Today, it is essential to preserve and nurture the cognitive and creative abilities of the diverse group of employees so that concrete outcomes and actions can be achieved. Human resource planning (HRP) is one of the processes that facilitate the development of employees and the integration of their individual goals with the business plans. This paper aims to produce useful predictions and unpr

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Jordan, Glenn. "SAFETY IN THE OFFSHORE PETROLEUM INDUSTRY: THE NEW REGIME." APPEA Journal 34, no. 2 (1994): 72. http://dx.doi.org/10.1071/aj93085.

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Following the recommendations of the UK Cullen and COSOP reports, a new regulatory and operational safety regime is being introduced across Australian territorial waters for the offshore petroleum industry. This paper details the concepts behind the new regime including the development and implementation strategies employed to introduce it and the implications to industry and government instrumentalities. The recognition that safety in the work place is an outcome of managerial commitment and a function of work system control is resulting in legislative reforms that will reduce the focus on ph

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Mojarad, Ali Asghar Sadeghi, Vahid Atashbari, and Adrian Tantau. "Challenges for sustainable development strategies in oil and gas industries." Proceedings of the International Conference on Business Excellence 12, no. 1 (2018): 626–38. http://dx.doi.org/10.2478/picbe-2018-0056.

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Abstract The oil and gas industries remain an important drive for the world economy. On one hand, global demand for fossil fuels is still rising, and on the other hand, companies face complex investment challenges due to the harsh operational environment of exploration and production activities. Workforce regulations aim to provide a safe and secured working environment. However, exploration and production activities still cause local and global environmental risks such as groundwater contamination, or climate change in broader scale. Analyzing and reporting mechanisms are key performance indi

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Bao, Jinsong, Xiaohu Zheng, Jianguo Zhang, Xia Ji, and Jie Zhang. "Data-driven process planning for shipbuilding." Artificial Intelligence for Engineering Design, Analysis and Manufacturing 32, no. 1 (2017): 122–30. http://dx.doi.org/10.1017/s089006041600055x.

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AbstractErection planning in shipbuilding is a highly complex process. When a process change happens for some reason, it is often difficult to identify how many factors are affected and estimate how sensitive these factors can be. To optimize the planning and replanning of the shipbuilding plan for the best production performance, a data-driven approach for shipbuilding erection planning is proposed, which is composed of an erection plan model, identification of major factors related to the erection plan, and a data-driven algorithm to apply shipbuilding operation data for creating plans and f

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Carter, Jennifer L. W., Amit K. Verma, and Nishan M. Senanayake. "Harnessing Legacy Data to Educate Data-Enabled Structural Materials Engineers." MRS Advances 5, no. 7 (2020): 319–27. http://dx.doi.org/10.1557/adv.2020.132.

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ABSTRACTData-driven materials design informed by legacy data-sets can enable the education of a new workforce, promote openness of the scientific process in the community, and advance our physical understanding of complex material systems. The performance of structural materials, which are controlled by competing factors of composition, grain size, particle size/distribution, residual strain, cannot be modelled with single-mechanism physics. The design of optimal processing route must account for the coupled nature of the creation of such factors, and requires students to learn machine learnin

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Choudhury, Sanjiban, Mohak Bhardwaj, Sankalp Arora, et al. "Data-driven planning via imitation learning." International Journal of Robotics Research 37, no. 13-14 (2018): 1632–72. http://dx.doi.org/10.1177/0278364918781001.

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Robot planning is the process of selecting a sequence of actions that optimize for a task=specific objective. For instance, the objective for a navigation task would be to find collision-free paths, whereas the objective for an exploration task would be to map unknown areas. The optimal solutions to such tasks are heavily influenced by the implicit structure in the environment, i.e. the configuration of objects in the world. State-of-the-art planning approaches, however, do not exploit this structure, thereby expending valuable effort searching the action space instead of focusing on potential

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Tribone, Dominick, David Block-Schachter, Frederick P. Salvucci, John Attanucci, and Nigel H. M. Wilson. "Automated, Data-Driven Performance Regime for Operations Management, Planning, and Control." Transportation Research Record: Journal of the Transportation Research Board 2415, no. 1 (2014): 72–79. http://dx.doi.org/10.3141/2415-08.

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10

Yang, Perry Pei-Ju, Soowon Chang, Nirvik Saha, and Helen W. Chen. "Data-driven planning support system for a campus design." Environment and Planning B: Urban Analytics and City Science 47, no. 8 (2020): 1474–89. http://dx.doi.org/10.1177/2399808320910164.

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The paper aims to develop a campus-level planning support system that is driven by data analytics by comparing two design approaches, anticipation and optimization. A campus is defined as a small-scale complex urban system of buildings and infrastructure. Three questions are addressed: (1) What generates campus design? What principles are taken for making design decisions? (2) How do we optimize design options based on multi-criteria performance and multi-objectives? (3) How can we manage a process of complex systems design, from scenario making, performance evaluation, design optimization to

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Obisi, Chris, Remi Samuel, and Ayodeji Ilesanmi. "Influence of Workforce Planning on Organizational Performance in the Manufacturing Industry of Lagos, Nigeria." Global Business Review 21, no. 2 (2018): 404–17. http://dx.doi.org/10.1177/0972150918778980.

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This study examines workforce planning on organizational performance in two private manufacturing companies at Apapa area of Lagos State. This study adopted a survey research design in which sample size determination table was used to choose 300 copies of the questionnaire administered, out of which 166 were recovered and used for data analysis, representing 55 per cent of the copies of the questionnaire recovered. The data collected were analysed through the descriptive and inferential method, and both Pearson’s moment correlation and regression analysis were used in testing the stated hypoth

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Tay, Linda. "Business performance of surveying firms: a data-driven path model." Journal of Property Research 19, no. 4 (2002): 327–51. http://dx.doi.org/10.1080/09599910210155509.

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Ubah, Chizomam, and Umar Abbas Ibrahim. "Examining the effect of human resource planning on the performance of public sector organizations." International Journal of Research in Business and Social Science (2147- 4478) 10, no. 5 (2021): 72–82. http://dx.doi.org/10.20525/ijrbs.v10i5.1289.

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The study examines the effect human resource planning has on the performance of public sector organizations in Nigeria. The study adopted a cross-sectional survey research design with the collection of primary data using a questionnaire that was administered to 100 employees in the human resource department of the Ministry of Works and housing in Abuja, Nigeria. Correlation analysis using Pearson correlation was employed to determine the relationship between the variables and regression analysis was used to analyze the hypotheses with the aid of the IBM statistical package for social sciences.

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Lee, Ya-Ching, Pin-Yu Chu, and Hsien-Lee Tseng. "Cross-National and Cross-Industrial Comparison of ICT-Enabled Business Process Management and Performance." Journal of Global Information Management 20, no. 2 (2012): 44–66. http://dx.doi.org/10.4018/jgim.2012040103.

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Information and communications technologies have changed how firms do business and create value. The objective of this study is to improve the understanding of ICT contribution to firm performance and explore the linkage between ICT impacts and business process management among various countries and industries. This study proposes the ICT-enabled Business Process Management Model. To test the model, survey data from the United States, Taiwan, and Chile was collected. The results show that ICT adoption affects business process management significantly. ICT adoption positively affects workplace

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Knies, Christian, and Frank Diermeyer. "Data-Driven Test Scenario Generation for Cooperative Maneuver Planning on Highways." Applied Sciences 10, no. 22 (2020): 8154. http://dx.doi.org/10.3390/app10228154.

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Future automated vehicles will have to meet the challenge of anticipating the intentions of other road users in order to plan their own behavior without compromising safety and efficiency of the surrounding road traffic. Therefore, the research area of cooperative driving deals with maneuver-planning algorithms that enable vehicles to behave cooperatively in interactive traffic scenarios. To prove the functionality of these algorithms, single test scenarios are used in the current body of literature. The use of a single, exemplary scenario bears the risk that the presented approach only works

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Naik, Kshirasagar, Mahesh D. Pandey, Anannya Panda, Abdurhman Albasir, and Kunal Taneja. "Data Driven Modelling of Nuclear Power Plant Performance Data as Finite State Machines." Modelling 2, no. 1 (2021): 43–62. http://dx.doi.org/10.3390/modelling2010003.

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Accurate modelling and simulation of a nuclear power plant are important factors in the strategic planning and maintenance of the plant. Several nonlinearities and multivariable couplings are associated with real-world plants. Therefore, it is quite challenging to model such cyberphysical systems using conventional mathematical equations. A visual analytics approach which addresses these limitations and models both short term as well as long term behaviour of the system is introduced. Principal Component Analysis (PCA) followed by Linear Discriminant Analysis (LDA) is used to extract features

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Zacharias, John. "Addressing Global Climate Change With Big Data-Driven Urban Planning Policy." International Journal of E-Planning Research 10, no. 4 (2021): 1–16. http://dx.doi.org/10.4018/ijepr.20211001.oa1.

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Cities in China gather data to support strategic and operational management, including databases on buildings, land use, human occupancy, underground services, and travel surveys. However, these data are seldom used to analyze policy decisions, with urban planning confined largely to operational planning. Real estate and financial interests dominate strategic planning, while an ecological crisis threatens urban sustainability in the long run. In this research, carbon emissions (CE) related to planning, building, and intra-urban travel are measured for two representative types of typical urban

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Shi, Jianguang, and Mingxi Zhou. "A Data-Driven Intermittent Online Coverage Path Planning Method for AUV-Based Bathymetric Mapping." Applied Sciences 10, no. 19 (2020): 6688. http://dx.doi.org/10.3390/app10196688.

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Bathymetric mapping with Autonomous Underwater Vehicles (AUVs) receives increased attentions in recent years. AUVs offer a lower operational cost and smaller carbon footprint with reduced ship usage, and they can provide higher resolution data when surveying the seabed at a closer distance if compared to ships. However, advancements are still needed to improve the data quality of AUV-based surveys. Unlike mobile robots with deterministic mapping performance, multibeam sonars used in AUV-based bathymetric mapping often yields inconsistent swath width due to the varied seabed elevation and surfi

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Sánchez, P. A., S. Luna-Ramírez, M. Toril, C. Gijón, and J. L. Bejarano-Luque. "A data-driven scheduler performance model for QoE assessment in a LTE radio network planning tool." Computer Networks 173 (May 2020): 107186. http://dx.doi.org/10.1016/j.comnet.2020.107186.

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Brophy, Julie, Deborah A. Marshall, Elizabeth M. Badley, et al. "Measuring the Rheumatology Workforce in Canada: A Literature Review." Journal of Rheumatology 43, no. 6 (2016): 1121–29. http://dx.doi.org/10.3899/jrheum.151174.

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Objective.The number of rheumatologists per capita has been proposed as a performance measure for arthritis care. This study reviews what is known about the rheumatologist workforce in Canada.Methods.A systematic search was conducted in EMBASE and MEDLINE using the search themes “rheumatology” AND “workforce” AND “Canada” from 2000 until December 2014. Additionally, workforce databases and rheumatology websites were searched. Data were abstracted on the numbers of rheumatologists, demographics, retirement projections, and barriers to healthcare.Results.Twenty-five sources for rheumatology work

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Li, Hongbo, Bowen Yao, and Xin Yan. "Data-Driven Public R&D Project Performance Evaluation: Results from China." Sustainability 13, no. 13 (2021): 7147. http://dx.doi.org/10.3390/su13137147.

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In public R&D projects, to improve the decision-making process and ensure the sustainability of public investment, it is indispensable to effectively evaluate the project performance. Currently, public R&D project management departments and various academic databases have accumulated a large number of project-related data. In view of this, we propose a data-driven performance evaluation framework for public R&D projects. In our framework, we collect structured and unstructured data related to completed projects from multiple websites. Then, these data are cleaned and fused to form

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Medeiros, Mauricius Munhoz de, Norberto Hoppen, and Antonio Carlos Gastaud Maçada. "Data science for business: benefits, challenges and opportunities." Bottom Line 33, no. 2 (2020): 149–63. http://dx.doi.org/10.1108/bl-12-2019-0132.

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Purpose This paper aims to identify the benefits of data science (DS) for organizations, highlighting the challenges and opportunities related to developing this capability. Design/methodology/approach Initially, a literature review was performed. Later, empirical data were collected through a structured electronic interview answered by 211 informants, who are most experienced managers of medium and large organizations from different economic sectors, and data were submitted to content analysis. Findings The most frequently observed benefits are as follows: support for data analysis and insigh

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Szwarc, Eryk, Jaroslaw Wikarek, Arkadiusz Gola, Grzegorz Bocewicz, and Zbigniew Banaszak. "Interactive Planning of Competency-Driven University Teaching Staff Allocation." Applied Sciences 10, no. 14 (2020): 4894. http://dx.doi.org/10.3390/app10144894.

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This paper focuses on a teacher allocation problem that is specifically concerned with assigning available academic lecturers to remaining courses from a given student curriculum. The teachers are linked to tasks according to competencies, competence requirements enforced by the curriculum as well as the number and type of disruptions that hamper the fulfilment of courses. The problem under consideration boils down to searching links between competencies possessed by teachers and competencies required by the curricula that will, firstly, balance student needs and teacher workload and, secondly

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Susanto, Edi. "ANALISIS PENDEKATAN MALCOLM BALDRIGE CRITERIA FOR PERFORMANCE EXCELLENCE (MBCfPE) TERHADAP KINERJA DI PT. KINENTA INDONESIA." Jurnal Sistem Teknik Industri 19, no. 1 (2018): 1–6. http://dx.doi.org/10.32734/jsti.v19i1.358.

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The purpose of this research is to implement a self-assessment through a survey on the overaallperformance measurement approuach Malcolm Baldrige Kriteria for Performance Excellent namely on sevencriteria : leadership, strategi planning, customer fokus, measurement, analysis, and knowledge management,workforce focus, operation fokus and results to determine the level of performance in PT. Kinenta Indonesia.The research data was obtained from interviews, observations, questionnaires and literature. Then analyzedwith the provisions of the assessment criteria MBCfPE. Thus obtained from the survey

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Llorens, Jared J. "Fiscally driven compensation reform and threats to human capital capacity in the public sector." International Journal of Organization Theory & Behavior 18, no. 1 (2015): 22–46. http://dx.doi.org/10.1108/ijotb-18-01-2015-b003.

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Compensation systems serve a critical role in strategic human resources management, and over the past twenty-five years, there have been an increasing number of public sector reform efforts aimed at better aligning compensation practices with institutional workforce needs. While many past reforms have been performance driven, the nationʼs most recent economic downturn has served as potent catalyst for a renewed focus on public sector compensation, particularly reforms to public sector retirement benefits. However, given the traditional importance of public sector retirement benefits within bro

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Cai, Hui, and Jun Jia. "Using Discrete Event Simulation (DES) To Support Performance-Driven Healthcare Design." HERD: Health Environments Research & Design Journal 12, no. 3 (2018): 89–106. http://dx.doi.org/10.1177/1937586718801910.

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Aim: This article aims to provide a description of fundamental elements of discrete event simulation (DES), the process and the values of applying DES in assisting healthcare design and planning decision-making. More importantly, it explores how new technology such as electronic medical records, real-time location services (RTLS), and other simulation methods such as space syntax analysis (SSA) can facilitate and complement DES. Background: Healthcare administrators increasingly recognize DES as an effective tool for allocating resources and process improvement. However, limited studies have d

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Park, Soonae, and Sungjoo Choi. "Performance Feedback, Goal Clarity, and Public Employees’ Performance in Public Organizations." Sustainability 12, no. 7 (2020): 3011. http://dx.doi.org/10.3390/su12073011.

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Scholars have emphasized the importance of supervisory feedback in improving individual performance. Subordinates benefit from clear communication of organizational goals and expected behaviors of employees, which are linked to the improvement of individual performance and organizational effectiveness. We examine the dynamic relationship between feedback on performance and individual performance, which is mediated by performance goal clarity. Given the potential influence of contextual factors on the relationship, we also test the moderation effect of autonomy on the relationship between perfo

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Glenn, Mallory C., Christine B. Peterson, Rebecca M. Howell, David S. Followill, Julianne M. Pollard‐Larkin, and Stephen F. Kry. "Sensitivity of IROC phantom performance to radiotherapy treatment planning system beam modeling parameters based on community‐driven data." Medical Physics 47, no. 10 (2020): 5250–59. http://dx.doi.org/10.1002/mp.14396.

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Russell, Deborah Jane, John Wakerman, and John Stirling Humphreys. "What is a reasonable length of employment for health workers in Australian rural and remote primary healthcare services?" Australian Health Review 37, no. 2 (2013): 256. http://dx.doi.org/10.1071/ah12184.

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Background. Optimising retention of rural and remote primary healthcare (PHC) workers requires workforce planners to understand what constitutes a reasonable length of employment and how this varies. Currently, knowledge of retention patterns is limited and there is an absence of PHC workforce benchmarks that take account of differences in geographic context and profession. Methods. Three broad strategies were employed for proposing benchmarks for reasonable length of stay. They comprised: a comprehensive literature review of PHC workforce-retention indicators and benchmarks; secondary analysi

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Abbaszadeh Shahri, Abbas, Ali Kheiri, and Aliakbar Hamzeh. "Subsurface Topographic Modeling Using Geospatial and Data Driven Algorithm." ISPRS International Journal of Geo-Information 10, no. 5 (2021): 341. http://dx.doi.org/10.3390/ijgi10050341.

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Infrastructures play an important role in urbanization and economic activities but are vulnerable. Due to unavailability of accurate subsurface infrastructure maps, ensuring the sustainability and resilience often are poorly recognized. In the current paper a 3D topographical predictive model using distributed geospatial data incorporated with evolutionary gene expression programming (GEP) was developed and applied on a concrete-face rockfill dam (CFRD) in Guilan province- northern to generate spatial variation of the subsurface bedrock topography. The compared proficiency of the GEP model wit

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Meehan-Andrews, Terri, Judith Jones, and John Humphreys. "How do we Canvass Rural Consumer Viewpoints for Health Care Planning and Quality Assurance? Methodological Considerations for Data Collection." Australian Journal of Primary Health 12, no. 3 (2006): 72. http://dx.doi.org/10.1071/py06048.

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Consumer input is vitally important when planning health care services and monitoring health system performance. Australia's rural residents suffer poorer health status and health outcomes than do metropolitan residents; this, along with medical and health workforce shortages, makes this planning and monitoring especially relevant. In rural and remote regions people are geographically dispersed across diverse communities, often making it difficult to access and recruit consumers. This paper provides a framework to address the major issues associated with how best to canvass representative rura

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Hao, Shengbin, Haili Zhang, and Michael Song. "Big Data, Big Data Analytics Capability, and Sustainable Innovation Performance." Sustainability 11, no. 24 (2019): 7145. http://dx.doi.org/10.3390/su11247145.

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Literature suggests that big data is a new competitive advantage and that it enhance organizational performance. Yet, previous empirical research has provided conflicting results. Building on the resource-based view and the organizational inertia theory, we develop a model to investigate how big data and big data analytics capability affect innovation success. We show that there is a trade-off between big data and big data analytics capability and that optimal balance of big data depends upon levels of big data analytics capability. We conduct a four-year empirical research project to secure e

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Torkayesh, Ali Ebadi, Fatih Ecer, Dragan Pamucar, and Çağlar Karamaşa. "Comparative assessment of social sustainability performance: Integrated data-driven weighting system and CoCoSo model." Sustainable Cities and Society 71 (August 2021): 102975. http://dx.doi.org/10.1016/j.scs.2021.102975.

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Tinker, N. A., and W. Yan. "Information systems for crop performance data." Canadian Journal of Plant Science 86, no. 3 (2006): 647–62. http://dx.doi.org/10.4141/p05-171.

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An increased need for efficient storage and retrieval of crop performance data is driven by a desire to increase the value of crop performance tests, opportunities in crop modelling, opportunities to facilitate cross planning, opportunities to discover genes that affect economic traits, and data mining applications that require better integration of data from multiple sources. Thus, an increased number of stakeholders need access to crop data that are current, accurate, and complete. There is also a growing sophistication and awareness of the role and capabilities of modern informatics techniq

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Soelami, FX Nugroho, Putu Handre Kertha Utama, Irsyad Nashirul Haq, Justin Pradipta, Edi Leksono, and Meditya Wasesa. "Data Driven Building Electricity Consumption Model Using Support Vector Regression." Journal of Engineering and Technological Sciences 53, no. 3 (2021): 210313. http://dx.doi.org/10.5614/j.eng.technol.sci.2021.53.3.13.

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Every building has certain electricity consumption patterns that depend on its usage. Building electricity budget planning requires a consumption forecast to determine the baseline electricity load and to support energy management decisions. In this study, an algorithm to model building electricity consumption was developed. The algorithm is based on the support vector regression (SVR) method. Data of electricity consumption from the past five years from a selected building object in ITB campus were used. The dataset unexpectedly exhibited a large number of anomalous points. Therefore, a toler

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Ozik, Jonathan, Justin M. Wozniak, Nicholson Collier, Charles M. Macal, and Mickaël Binois. "A population data-driven workflow for COVID-19 modeling and learning." International Journal of High Performance Computing Applications 35, no. 5 (2021): 483–99. http://dx.doi.org/10.1177/10943420211035164.

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CityCOVID is a detailed agent-based model that represents the behaviors and social interactions of 2.7 million residents of Chicago as they move between and colocate in 1.2 million distinct places, including households, schools, workplaces, and hospitals, as determined by individual hourly activity schedules and dynamic behaviors such as isolating because of symptom onset. Disease progression dynamics incorporated within each agent track transitions between possible COVID-19 disease states, based on heterogeneous agent attributes, exposure through colocation, and effects of protective behavior

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Cahill, Joan, Paul Cullen, Sohaib Anwer, Keith Gaynor, and Simon Wilson. "The Requirements for New Tools for Use by Pilots and the Aviation Industry to Manage Risks Pertaining to Work-Related Stress (WRS) and Wellbeing, and the Ensuing Impact on Performance and Safety." Technologies 8, no. 3 (2020): 40. http://dx.doi.org/10.3390/technologies8030040.

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Work is part of our wellbeing and a key driver of a person’s health. Pilots need to be fit for duty and aware of risks that compromise their health/wellbeing. Recent studies suggest that work-related stress (WRS) impacts on pilot health and wellbeing, performance, and flight safety. This paper reports on the advancement of new tools for pilots and airlines to support the management of WRS and wellbeing. This follows from five phases of stakeholder evaluation research and analysis. Existing pre-flight checklists should be extended to enable the crew to evaluate their health and wellbeing. New c

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Škrinjarić, Bruno, and Polona Domadenik. "Examining the role of key competences in firm performance." International Journal of Manpower 41, no. 4 (2019): 391–416. http://dx.doi.org/10.1108/ijm-10-2018-0349.

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Purpose Industry 4.0 processes brought dramatic changes in skills and competences needed at the firm level. The purpose of this paper is: to identify and quantify key competences required for workers with economics-and-business background; to evaluate development level of those competences among the currently employed workforce; to investigate degree of match between required and currently developed competences; and finally to assess how this (mis)match translates to firm performance. Design/methodology/approach This research is based on primary data, collected through questionnaires, and seco

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Bernard Nkala, Charles Mudimu, and Angelbert Mbengwa Mbengwa. "Human resources for health talent management contribution: A case for health systems strengthening in the public health sector." World Journal of Advanced Research and Reviews 9, no. 2 (2021): 192–201. http://dx.doi.org/10.30574/wjarr.2021.9.2.0062.

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Talent Management is an essential component in transforming health systems if carefully implemented for the public sector especially in low income countries. In Zimbabwe public health sector, talent retention and engagement are viewed as amongst the challenges affecting the realisation of effective performance and productivity from the existing Health workforce. Largely, modern health care systems lack robust strategies to identify and utilize employee talent essential to help attain organisational citizenship. The study reviewed the relevancy and effectiveness of talent management practices i

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Li, W., C. W. Pan, R. Zhang, et al. "AADS: Augmented autonomous driving simulation using data-driven algorithms." Science Robotics 4, no. 28 (2019): eaaw0863. http://dx.doi.org/10.1126/scirobotics.aaw0863.

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Simulation systems have become essential to the development and validation of autonomous driving (AD) technologies. The prevailing state-of-the-art approach for simulation uses game engines or high-fidelity computer graphics (CG) models to create driving scenarios. However, creating CG models and vehicle movements (the assets for simulation) remain manual tasks that can be costly and time consuming. In addition, CG images still lack the richness and authenticity of real-world images, and using CG images for training leads to degraded performance. Here, we present our augmented autonomous drivi

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Qu, Hezhou, Xiaoyue Xu, and Steven Chien. "Estimating Wait Time and Passenger Load in a Saturated Metro Network: A Data-Driven Approach." Journal of Advanced Transportation 2020 (August 1, 2020): 1–17. http://dx.doi.org/10.1155/2020/4271871.

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The service quality of public transit, such as comfort and convenience, is an important factor influencing ridership and fare revenue, which also reflects the passengers’ perception to the transit performance. Passengers are frustrated while waiting to board a crowded train especially during the peak hours, while the fail-to-board (FtB) situation commonly exists. The service performance measures determined by deterministic passenger demand and service frequency cannot reflect the perceived service of passengers. With the automatic fare collection system data provided by Chengdu Metro, we devel

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Liu, Chunting, and Guozhu Jia. "Industrial Big Data and Computational Sustainability: Multi-Method Comparison Driven by High-Dimensional Data for Improving Reliability and Sustainability of Complex Systems." Sustainability 11, no. 17 (2019): 4557. http://dx.doi.org/10.3390/su11174557.

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Sustainable development is of great significance. The emerging research on data-driven computational sustainability has become an effective way to solve this problem. This paper presents a fault diagnosis and prediction framework for complex systems based on multi-dimensional data and multi-method comparison, aimed at improving the reliability and sustainability of the system by selecting methods with relatively superior performance. This study took the avionics system in the industrial field as an example. Based on the literature research on typical fault modes and fault diagnosis requirement

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Zhu, Yuan, Kaan Ozbay, Kun Xie, Hong Yang, and Ender Faruk Morgul. "Network Modeling of Hurricane Evacuation Using Data-Driven Demand and Incident-Induced Capacity Loss Models." Journal of Advanced Transportation 2021 (September 3, 2021): 1–14. http://dx.doi.org/10.1155/2021/6620254.

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The development of a hurricane evacuation simulation model is a crucial task in emergency management and planning. Two major issues affect the reliability of an evacuation model: one is estimations of evacuation traffic based on socioeconomic characteristics, and the other is capacity change and its influence on evacuation outcome due to traffic incidents in the context of hurricanes. Both issues can impact the effectiveness of emergency planning in terms of evacuation order issuance, and evacuation route planning. The proposed research aims to investigate the demand and supply modeling in the

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Li, Xingpeng. "Fast Heuristic AC Power Flow Analysis with Data-Driven Enhanced Linearized Model." Energies 13, no. 13 (2020): 3308. http://dx.doi.org/10.3390/en13133308.

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Though the full AC power flow model can accurately represent the physical power system, the use of this model is limited in practice due to the computational complexity associated with its non-linear and non-convexity characteristics. For instance, the AC power flow model is not incorporated in the unit commitment model for practical power systems. Instead, an alternative linearized DC power flow model is widely used in today’s power system operational and planning tools. However, DC power flow model will be useless when reactive power and voltage magnitude are of concern. Therefore, a lineari

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Li, Guanru, Lei Pan, Qingsong Hua, Li Sun, and Kwang Y. Lee. "Water Pump Control: A Hybrid Data-Driven and Model-Assisted Active Disturbance Rejection Approach." Water 11, no. 5 (2019): 1066. http://dx.doi.org/10.3390/w11051066.

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Water pump control, prevalent in various industrial plants, such as wastewater treatment and steam generator facilities, plays a significant role in maintaining economic efficiency and stable plant operation. Due to its slow dynamics, strong nonlinearity, and various disturbances, it is also widely studied as a typical benchmark problem in process control. The current control strategies can be categorized into two aspects: one branch resorts to model-based design and the other to data-driven design. To merge the merits and overcome the deficiencies of each paradigm, this paper proposes a hybri

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Harsh, Joseph, John J. Esteb, and Adam V. Maltese. "Evaluating the development of chemistry undergraduate researchers’ scientific thinking skills using performance-data: first findings from the performance assessment of undergraduate research (PURE) instrument." Chemistry Education Research and Practice 18, no. 3 (2017): 472–85. http://dx.doi.org/10.1039/c6rp00222f.

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National calls in science, technology, engineering, and technology education reform efforts have advanced the wide-scale engagement of students in undergraduate research for the preparation of a workforce and citizenry able to attend to the challenges of the 21st century. Awareness of the potential benefits and costs of these experiences has led to an emerging literature base outlining gains in participants’ cognitive, affective, and conative domains to support the impact of undergraduate research for students of all backgrounds; however, the majority of this work has relied on self-report dat

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Pugna, Irina, Adriana Duțescu, and Oana Stănilă. "Corporate Attitudes towards Big Data and Its Impact on Performance Management: A Qualitative Study." Sustainability 11, no. 3 (2019): 684. http://dx.doi.org/10.3390/su11030684.

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This paper investigates the organizational challenges raised by Big Data and its impact on the business environment with a focus on performance management. We investigate managers’ perceptions, understanding, and attitudes relating to Big Data and its analytics, in terms of opportunities, extent, limitations, challenges, and implications, with specific reference to performance management. The research methodology we adopt is grounded theory: we develop a reflection guide based on research questions covering the impact and challenges of a data-driven culture on business, and the impact on perfo

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Purnamasari, Sindy, and Andreas Wijaya. "PENGARUH ORIENTASI PASAR, ORIENTASI KEWIRAUSAHAAN DAN KEMAMPUAN PEMASARAN, TERHADAP KINERJA BISNIS UMKM CLOTHING LINE." Business Management Journal 16, no. 1 (2020): 12. http://dx.doi.org/10.30813/bmj.v16i1.2052.

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One of driven national economy in Indonesian had been provided from the Micro, Small and Medium Enterprises (MSMEs), They play essential role both in national trade and labour force, According to survey data from the Central Statistics (BPS) MSMEs contributed 7,38% to national economy in 2016, In addition, fashion industry rose gradually 8,7% compared in last year with the amount of export finished $13.29 billion in 2017. Moreover, MSMEs absorb around 97% of the national workforce, while Large Enterprises only absorb around 3% of the total national workforce and Indonesian MSME businesses that

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Sun, Congcong, Benjamí Parellada, Vicenç Puig, and Gabriela Cembrano. "Leak Localization in Water Distribution Networks Using Pressure and Data-Driven Classifier Approach." Water 12, no. 1 (2019): 54. http://dx.doi.org/10.3390/w12010054.

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Leaks in water distribution networks (WDNs) are one of the main reasons for water loss during fluid transportation. Considering the worldwide problem of water scarcity, added to the challenges that a growing population brings, minimizing water losses through leak detection and localization, timely and efficiently using advanced techniques is an urgent humanitarian need. There are numerous methods being used to localize water leaks in WDNs through constructing hydraulic models or analyzing flow/pressure deviations between the observed data and the estimated values. However, from the application

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Li, Anqi, and Ming Yang. "Optimal incentive contract with endogenous monitoring technology." Theoretical Economics 15, no. 3 (2020): 1135–73. http://dx.doi.org/10.3982/te3130.

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Recent technology advances have enabled firms to flexibly process and analyze sophisticated employee performance data at a reduced and yet significant cost. We develop a theory of optimal incentive contracting where the monitoring technology that governs the above procedure is part of the designer's strategic planning. In otherwise standard principal–agent models with moral hazard, we allow the principal to partition agents' performance data into any finite categories, and to pay for the amount of information the output signal carries. Through analysis of the trade‐off between giving incentive

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