Human resource allocation in business process management and process mining: A systematic mapping study

被引:31
|
作者
Arias, Michael [1 ]
Saavedra, Rodrigo [1 ]
Marques, Maira R. [2 ]
Munoz-Gama, Jorge [1 ]
Sepulveda, Marcos [1 ]
机构
[1] Pontificia Univ Catolica Chile, Dept Comp Sci, Sch Engn, Santiago, Chile
[2] Univ Chile, Dept Comp Sci, Santiago, Chile
关键词
Business process management; Resource management; Process mining; Human resource allocation; Systematic mapping study; MODEL; TOOL;
D O I
10.1108/MD-05-2017-0476
中图分类号
F [经济];
学科分类号
02 ;
摘要
Purpose Human resource allocation is considered a relevant problem in business process management (BPM). The successful allocation of available resources for the execution of process activities can impact on process performance, reduce costs and obtain a better productivity of the resources. In particular, process mining is an emerging discipline that allows improvement of the resource allocation based on the analysis of historical data. The purpose of this paper is to provide a broad review of primary studies published in the research area of human resource allocation in BPM and process mining. Design/methodology/approach A systematic mapping study (SMS) was conducted in order to classify the proposed approaches to allocate human resources. A total of 2,370 studies published between January 2005 and July 2016 were identified. Through a selection protocol, a group of 95 studies were selected. Findings Human resource allocation is an emerging research area that has been evolving over time, generating new proposals that are increasingly applied to real case studies. The majority of proposed approaches relate to the period 2011-2016. Journals and conference proceedings are the most common venues. Validation research and evaluation research are the most common research types. There are two main evaluation methods: simulation and case studies. Originality/value This study aims to provide an initial assessment of the state of the art in the research area of human resource allocation in BPM and process mining. To the best of the authors' knowledge, this is the first research that has been conducted to date that generates a SMS in this research area.
引用
下载
收藏
页码:376 / 405
页数:30
相关论文
共 50 条
  • [41] Business Process Improvement: A Process Warehouse based Resource Management Method
    Sohail, Abid
    Dominic, P. D. D.
    2ND INTERNATIONAL SYMPOSIUM ISTMET 2015 TECHNOLOGY MANAGEMENT & EMERGING TECHNOLOGIES, 2015,
  • [42] Research on Knowledge Resource Allocation Oriented Business Process Modeling
    Chen, Lei
    Zhan, Hongfei
    Yu, Junhe
    Jiang, Zhongren
    Lei, Chenjian
    ADVANCES IN ENGINEERING DESIGN AND OPTIMIZATION III, PTS 1 AND 2, 2012, 201-202 : 935 - 938
  • [43] Management of the Design Process: Human Resource Allocation and Project Selection in Factories of the Future
    Jin, Guangying
    Sperandio, Séverine
    Girard, Philippe
    Insight, 2019, 22 (04) : 17 - 19
  • [44] Optimizing resource management during business process execution: A case study
    Pflug, Johannes
    Rinderle-Ma, Stefanie
    PROCEEDINGS OF 2016 IEEE SYMPOSIUM SERIES ON COMPUTATIONAL INTELLIGENCE (SSCI), 2016,
  • [45] An entropy-based clustering ensemble method to support resource allocation in business process management
    Weidong Zhao
    Haitao Liu
    Weihui Dai
    Jian Ma
    Knowledge and Information Systems, 2016, 48 : 305 - 330
  • [46] An entropy-based clustering ensemble method to support resource allocation in business process management
    Zhao, Weidong
    Liu, Haitao
    Dai, Weihui
    Ma, Jian
    KNOWLEDGE AND INFORMATION SYSTEMS, 2016, 48 (02) : 305 - 330
  • [47] Resource Allocation in Fog Computing: A Systematic Mapping Study
    Ben Lahmar, Imen
    Boukadi, Khouloud
    2020 FIFTH INTERNATIONAL CONFERENCE ON FOG AND MOBILE EDGE COMPUTING (FMEC), 2020, : 86 - 93
  • [48] Using process mining in agile software development methodologies: a systematic mapping study
    Arias, Michael
    Marques, Maira R.
    Rojas, Eric
    2018 XLIV LATIN AMERICAN COMPUTER CONFERENCE (CLEI 2018), 2018, : 552 - 561
  • [49] A systematic review of Green Business Process Management
    Couckuyt, Dries
    Van Looy, Amy
    BUSINESS PROCESS MANAGEMENT JOURNAL, 2020, 26 (02) : 421 - 446
  • [50] Using Free-Choice Nets for Process Mining and Business Process Management
    van der Aalst, Wil M. P.
    PROCEEDINGS OF THE 2021 16TH CONFERENCE ON COMPUTER SCIENCE AND INTELLIGENCE SYSTEMS (FEDCSIS), 2021, : 9 - 15