Predictors of customer satisfaction: testing the classical paradigms

Statistical models and implant customization in hip arthroplasty: Seeking patient satisfaction through design

Objectives

This study conducts a systematic literature review to explore the role of statistical models and methods in the design of orthopedic implants, with a specific focus on hip arthroplasty. Through a comprehensive analysis of the scientific literature, it aims to understand the relevance and applicability of these models in implant development and research trends in the field of design.

Methods

Data analysis and co-occurrence mapping techniques were employed to investigate the statistical models used as predictors of satisfaction in hip arthroplasty and in implant design. This approach facilitated a detailed and objective assessment of existing literature, revealing key trends and identifying gaps in current knowledge.

Key findings

The review's findings underscore a burgeoning interest in implant customization, with a significant emphasis on leveraging statistical techniques for optimal design. The logistic model methodology was applied to analyze a survey of hip surgery specialists, revealing that the physician's age does not influence the decision to use a customized implant. Furthermore, the review highlighted a knowledge gap at the intersection of statistics and design discipline concerning implant customization.

Significance

Despite the recognized importance of customization in implant design, there remains a dearth of contributions from the design discipline perspective in the existing literature, indicating substantial room for improvement and the need for interdisciplinary integration.

Conclusion

The integration of statistical methods in implant design is crucial, emphasizing the need for multidisciplinary approaches and customization to enhance patient satisfaction. This study provides a foundation for future research that could transform the field of hip arthroplasty through more personalized and effective solutions.

Conceptualising HR outsourcing effectiveness and scale development of HROSERVPERF using PLS-SEM

Purpose

This study aims to provide a conceptualisation of HR outsourcing (HRO) effectiveness from a service quality perspective and subsequently develop a scale – HROSERVPERF to measure HRO service performance underpinned S-O-R theory.

Design/methodology/approach

Grounded on theoretical conceptualisation, literature and information collected through semi-structured interviews, HRO service performance items pool were generated. 257 responses from manufacturing firms in Malaysia that have outsourced their HR were collected. PLS-SEM is used for scale confirmation and validation.

Findings

The conceptualisation of HRO effectiveness and HRO service performance suggests a need for scale development that encompasses service quality-satisfaction-loyalty framework supported by S-O-R theory. Operational improvement, resource alignment and service delivery emerged as the service performance dimensions of HROSERVPERF.

Research limitations/implications

This study was limited to manufacturing firms in Malaysia, hence little generalisation could be drawn beyond this context. However, this serves as future research opportunities.

Practical implications

HR managers and service providers can employ HROSERVPERF to measure and improve HRO service performance more effectively. Service providers can re-strategise and target their scarce resources to better retain their clients.

Originality/value

This is the first paper that provides HRO effectiveness conceptualisation from a service quality perspective followed by a scale development with formative measures using PLS-SEM underpinned S-O-R theory.