IS

LEE, YANG W.

Research Interests (9)

List of Topics (9)

Topic Weight Topic Terms
0.261 data database administration important dictionary organizations activities record increasingly method collection records considered perturbation requirements
0.253 quality different servqual service high-quality difference used quantity importance use measure framework impact assurance better
0.227 problem problems solution solving problem-solving solutions reasoning heuristic theorizing rules solve general generating complex example
0.196 knowledge application management domain processes kms systems study different use domains role comprehension effective types
0.156 data used develop multiple approaches collection based research classes aspect single literature profiles means crowd
0.145 work people workers environment monitoring performance organizations needs physical useful number personal balance perceptions create
0.128 commitment need practitioners studies potential role consider difficult models result importance influence researchers established conduct
0.119 outsourcing vendor client sourcing vendors clients relationship firms production mechanisms duration mode outsourced vendor's effort
0.112 role roles gender differences women significant play age men plays sample differ played vary understand

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List of Coauthors (1)

Strong, Diane M. 1

Article Keywords (12)

data quality 2 context-reflective problem solving 1 data processes 1 data quality rules 1
information quality 1 knowing-why 1 knowledge 1 knowledge modes 1
problem solving 1 reflection-in-action 1 situated practice 1 work roles 1

Articles (2)

Knowing-Why About Data Processes and Data Quality. (Journal of Management Information Systems, 2003)
Authors: Abstract:
    Knowledge about work processes is a prerequisite for performing work. We investigate whether a certain mode of knowledge, knowing-why, affects work performance and whether the knowledge held by different work roles matters for work performance. We operationalize these questions in the specific domain of data production processes and data quality. We analyze responses from three roles within data production processes, data collectors, data custodians, and data consumers, to investigate the effects of different knowledge modes held by different work roles on data quality. We find that work roles and the mode of knowledge do matter. Specifically, data collectors with why-knowledge about the data production process contribute to producing better quality data. Overall, knowledge of data collectors is more critical than that of data custodians.
Crafting Rules: Context-Reflective Data Quality Problem Solving. (Journal of Management Information Systems, 2003)
Authors: Abstract:
    Motivated by the growing importance of data quality in data-intensive, global business environments and by burgeoning data quality activities, this study builds a conceptual model of data quality problem solving. The study analyzes data quality activities at five organizations via a five-year longitudinal study. The study finds that experienced practitioners solve data quality problems by reflecting on and explicating knowledge about contexts embedded in, or missing from, data. Specifically, these individuals investigate how data problems are framed, analyzed, and resolved throughout the entire information discourse. Their discourse on contexts of data, therefore, connects otherwise separately managed data processes, that is, collection, storage, and use. Practitioners, context-reflective mode of problem solving plays a pivotal role in crafting data quality rules. These practitioners break old rules and revise actionable dominant logic embedded in work routines as a strategy for crafting rules in data quality problem solving.