Several concerns about performance management systems (PMS) in organizations
have been raised, ranging from their paper-based form and bureaucracy to their
failure to produce desired outcomes. Digitalization has been proposed to mitigate
these PMS challenges. However, scant knowledge exists in the literature about the
processes involved in PMS digitalization and the factors that motivate its
acceptance and impact on employee performance. To minimize this knowledge
gap in the literature, this study extends the innovation diffusion theory (IDT) and
proposes a research model (TOP model). The model integrates technological (T)
factors (relative advantage, complexity) from the IDT with organizational (O)
factors (firm digital capabilities, management support) and personal (P) factors
(job satisfaction, personal innovativeness, and attitude) to predict the acceptance
of PMS digitalization and its impact on employee performance. The study uses a
mixed-method approach, drawing 11 interview responses and 492 survey samples
from Ghana's banks, healthcare, and professional accounting firms. The data were
analyzed using thematic content analysis and partial least square structural
equation modeling (PLS-SEM) and further reinforced with advanced analytical
techniques such as quadratic relationship assessment, importance-performance
matrix analysis, and the fuzzy set qualitative comparative analysis (fsQCA).
Findings indicate that a firm seeking to digitalize its PMS should identify and
digitize its work processes, establish a digital data generation system and database
for big data, and use an artificial intelligence program. The study also found a
PMS digitalization acceptance matrix (PDAM) for managing system and
behavioral issues associated with PMS digitalization acceptance. The findings also
demonstrate the role of TOP factors in predicting PMS digitalization acceptance.
Finally, the results show that TOP factors interact in varied combinatorial ways to
explain the variation in acceptance of PMS and employee performance. These
findings, which have important theoretical and managerial implications, have been
fascinatingly discussed in chapter five of the study.
| ISBN: | 978-80-7678-167-2 |
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| EAN: | 9788076781672 |
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| Počet stran |
47 stran |
| Datum vydání |
12. 07. 2023 |
| Pořadí vydání |
První |
| Jazyk |
anglický |
| Vazba |
e-kniha - pdf |
| Autor: |
Alex Ntsiful |
| Nakladatelství |
Univerzita Tomáše Bati ve Zlíně |
| Tématická skupina |
999 - nezařazeno |
| Neprodejná publikace. Publikaci je možné poptávat zde: Volně dostupné na http://hdl.handle.net/10563/52431 |
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