Analyzing Digital Trace Data to Promote Discovery - The Case of Heatmapping

被引:1
|
作者
Mahringer, Christian A. [1 ,2 ]
机构
[1] Univ Stuttgart, Stuttgart, Germany
[2] Heidelberg Acad Sci & Humanities, Heidelberg, Germany
关键词
Business process management; Digital trace data; Discovery; Heatmaps; Methodology; Organizational routines; Process analysis; Routine dynamics; Visualization; ORGANIZATIONAL ROUTINES; DYNAMICS; PATTERNS; MANAGEMENT; CONTEXT; FIELD;
D O I
10.1007/978-3-030-94343-1_16
中图分类号
F [经济];
学科分类号
02 ;
摘要
Business Process Management and Routine Dynamics are two streams of research that both explore process. To this end, Business Process Management has developed a rich array of methods that can be used to analyze digital trace data. Routine Dynamics has put less emphasis on the analysis of digital trace data, but it has advanced a methodological approach that promotes discovery, i.e., the process that actors perform and experience as they develop novel insights. This paper argues that the analysis of digital trace data can promote the process of discovery. It uses heatmapping as a specific example to show how analyzing digital trace data can promote discovery. The paper thus emphasizes a specific way how Business Process Management and Routine Dynamics can fertilize each other.
引用
收藏
页码:209 / 220
页数:12
相关论文
共 50 条
  • [1] Analyzing the Effect of Time in Migration Measurement Using Georeferenced Digital Trace Data
    Fiorio, Lee
    Zagheni, Emilio
    Abel, Guy
    Hill, Johnathan
    Pestre, Gabriel
    Letouze, Emmanuel
    Cai, Jixuan
    DEMOGRAPHY, 2021, 58 (01) : 51 - 74
  • [2] Analyzing Trace-Level Plutonium Measurements: A Case Study in Data Transformations
    Blackwood, L. G.
    Quality Engineering, 9 (02):
  • [3] Analyzing political communication with digital trace data: the role of twitter messages in social science research
    Puschmann, Cornelius
    INFORMATION COMMUNICATION & SOCIETY, 2016, 19 (12) : 1691 - 1692
  • [4] Analyzing Political Communication with Digital Trace Data. The Role of Twitter Messages in Social Science Research
    Koenig, Mathias
    Koenig, Wolfgang
    POLITISCHE VIERTELJAHRESSCHRIFT, 2016, 57 (01) : 181 - 183
  • [5] A PATTERN DISCOVERY PROGRAM FOR ANALYZING QUALITATIVE AND QUANTITATIVE DATA
    CHRISTENSEN, RA
    BEHAVIORAL SCIENCE, 1968, 13 (05): : 423 - +
  • [6] Indexing institutional data to promote library resource discovery
    Sierra, Tito
    Opening Information Horizons, 2006, : 362 - 362
  • [7] Digital trace Data: the end of empirical Sociology?
    Sedlacek, Jakub
    SOCIOLOGICKY CASOPIS-CZECH SOCIOLOGICAL REVIEW, 2020, 56 (04): : 471 - 490
  • [8] The Role of Digital Trace Data in Supporting the Collection of Population Statistics - the Case for Smart Metered Electricity Consumption Data
    Newing, Andy
    Anderson, Ben
    Bahaj, AbuBakr
    James, Patrick
    POPULATION SPACE AND PLACE, 2016, 22 (08) : 849 - 863
  • [9] Analyzing the Impact of ISO on Digital Imager Defects with an Automated Defect Trace Algorithm
    Leung, Jenny
    Chapman, Glenn H.
    Choi, Yong H.
    Thomas, Rohit
    Koren, Zahava
    Koren, Israel
    SENSORS, CAMERAS, AND SYSTEMS FOR INDUSTRIAL/SCIENTIFIC APPLICATIONS XI, 2010, 7536
  • [10] Generating block IO trace data from a cloud site using packet capture and analyzing the IO trace data
    Ogihara, Kazutaka
    2019 SEVENTH INTERNATIONAL SYMPOSIUM ON COMPUTING AND NETWORKING WORKSHOPS (CANDARW 2019), 2019, : 455 - 459