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Empirical Research

Information quality, user satisfaction, and the manifestation of workarounds: a qualitative and quantitative study of enterprise content management system users

, &
Pages 333-360 | Received 12 Apr 2013, Accepted 08 Nov 2016, Published online: 19 Dec 2017

Figures & data

Table 1 Causes, forms, and consequences of workarounds

Table 2 Examples of workarounds at the observed financial service provider

Table 3 Representational information quality and its characteristics (N = 34)

Table 4 Contextual information quality and its characteristics (N = 34)

Table 5 Demographics of survey participants (N = 247)

Table 6 Mediation tests

Figure 1 Research model.

Figure 1 Research model.

Figure 2 Structural model validation for the second-order factor model. The four quality constructs are conceptualized as superordinate constructs as suggested by Gable et al (Citation2008) [reflective first-order and formative second-order constructs; Polites et al (Citation2012) and evaluated as suggested by Wright et al (Citation2012)].

Figure 2 Structural model validation for the second-order factor model. The four quality constructs are conceptualized as superordinate constructs as suggested by Gable et al (Citation2008) [reflective first-order and formative second-order constructs; Polites et al (Citation2012) and evaluated as suggested by Wright et al (Citation2012)].

Table A1 Items of workarounds and q-sorting results (items below 0.61 are removed, here: WA-5)

Table A2 Factor analysis

Table A3 q-sorting results

Table A4 Definition of quality characteristics

Table A5 Measurement items and loadings

Table A6 First-order reliability, AVEs, and correlation of constructs

Table A7 Cross-loadings (first-order constructs)

Table A8 ECM software vendor's overview based on Gartner’s magic ECM quadrant 2013 (Gilbert et al, Citation2013)

Table A9 User resistance behavior

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