Factors Influencing Data Completeness in Electronic Records: A Case Study in a Chinese Manufacturing Enterprise

Advance in the information and digital technology demands most industries to transit to fully electronic records management. Addressing data completeness is one of the important challenges that enterprises face when establishing and maintaining electronic records. By conducting a literature review, we identified 14 factors influencing data completeness in electronic records. This was followed by empirically examining and ranking these factors at two stages of the information systems life cycle: (1) system design and implementation; and (2) system use post implementation in a case study of a manufacturing enterprise. In our case study, among these factors, user interface design was identified as the highest rank factor that affects data completeness at the stage of system design and implementation, while training was considered as the most important factor for addressing data completeness at the stage of system use post implementation. The present study identified the factors influencing data completeness in electronic records, in opposite to the factors influencing data quality in general. Furthermore, the study extends the existing literature on data completeness by considering important areas for achieving complete data in electronic records, at each stage of information systems life cycle.