Angelo Rosa, Nicola Capolupo, Emilia Romeo, Olivia McDermott, Jiju Antony, Michael Sony and Shreeranga Bhat
This study aims to fully assess the readiness for Lean Six Sigma (LSS) and Quality Performance Improvement (QPI) in an Italian Public Healthcare ecosystem.
Abstract
Purpose
This study aims to fully assess the readiness for Lean Six Sigma (LSS) and Quality Performance Improvement (QPI) in an Italian Public Healthcare ecosystem.
Design/methodology/approach
Drawing from previously established survey development and adaptation protocols, a replication study was carried out; Lean, Six Sigma and QPI were extracted and validated through confirmatory factor analysis in an Italian Public Healthcare setting, with a sample of health professionals from the Campania region.
Findings
This study reports the adaptation of an existing scale for measuring LSS and QPI in an Italian public healthcare organisation. This analysis extracts six conceptual domains and constitutes an original adaptation of an existing scale to assess the readiness to adopt Lean, Six Sigma and Quality Performance in Italian Public Health Organizations. The constructs show strong levels of internal consistency, as demonstrated by each item factor loading and each subscale reliability.
Practical implications
Managers, policymakers and academics can employ the proposed tool to assess the public healthcare ecosystem’s capability to implement LSS initiatives and strategies to improve quality performance.
Originality/value
This is one of the first studies to assess cross-regional organisational readiness for LSS and QPI in an Italian Public Healthcare environment at this scope and level.
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Pham Quang Huy and Vu Kien Phuc
This research aims at investigating how business process management capabilities (BPMC) impact the effectiveness of sustainable digital transformation (ESDT). Furthermore, it…
Abstract
Purpose
This research aims at investigating how business process management capabilities (BPMC) impact the effectiveness of sustainable digital transformation (ESDT). Furthermore, it delves into the mediation of dynamic decision-making (DDM) in the relationship between BPMC and ESDT.
Design/methodology/approach
This research employed the hypothetico-deductive technique. The statistical database was generated from sample of 712 respondents from small and medium companies (SMEs) in Vietnam, utilizing convenience and snowball sampling methods. The two-step process utilizing structural equation modeling, supported by SmartPLS version 4.1.0.9 and AMOS 28, was employed to assess the measurement model, while SmartPLS version 4.1.0.9 was used to evaluate the structural model.
Findings
The results of the analysis emphasize significant and positive correlations between the proposed constructs related to significance and effect size. The statistical results indicated that BPMC had a significant and beneficial effect on ESDT. This relationship was partially mediated by DMM.
Practical implications
The salient point emphasized that practitioners should prioritize enhancing focus on BPMC and DDM, as this would significantly facilitate more comprehensive solutions, enabling SMEs to achieve optimal success in sustainable digital transformation. Policymakers and government influencers are urged to concentrate on innovative attributes and ensure a conducive environment for the implementation of innovation by enacting regulations that promote the application of digital technology.
Originality/value
The findings of this study will broaden scholars’ understanding of the influence of BPMC on ESDT. The originality of the research is to provide research directions for advancing studies on the role of DDM in the context of sustainable digital transformation.