Search results

Due to the evolution of the health-care scenario and the growing role of the primary care setting, the distribution processes of health technologies will be more and more in demand in the near future. This paper aims to investigate this theme, analyzing the performance, strengths and weaknesses of the current distribution practices, with the ultimate overarching aim to improve the provision of the primary care services.

The research framework is twofold. First, a tool to monitor the economic/quantitative performance of the distribution models was designed; second, the tool was applied to measure the performance of distribution models of absorbent devices for incontinence adopted by Local Health Authorities (LHA) in Lombardy Region (Italy). Quantitative data were collected by LHAs (from 2012 to 2016) and compared through data-benchmarking. Qualitative data from interviews and focus groups complemented the outcomes.

Two main distribution models were investigated: distribution through pharmacies and home delivery. Results show that there is no winning/preferable model in terms of economic/quantitative performance and service quality level, but a counterbalanced combination of strengths and weaknesses exists. Moving from the highlighted weaknesses and building on the strengths, an alternate distribution model is proposed for testing.

The present study approaches the theme of primary care services with a holistic approach, filling a literature gap. It also provides practitioners with a tool of performance analysis and management and real data, applicable also in international contexts. The collected real-world data also gives insights on the area of the quality of care, with particular reference to the patients’ experience. As a lesson learned, policymakers and the National Healthcare Service should re-think their current distribution models/practices in the light of the highlighted criticisms and opportunities for improvement.

This study aims to analyze the managerial levers previously considered in literature in the setting of the provision of primary care and community services (in particular for patients with long-term conditions being treated also at home) as well as those scarcely explored that could potentially be adopted in the future.

This study was a structured literature review. The authors retrieved papers, published from 2005–2020, from electronic databases (i.e. ABI/INFORM Complete, Jstor, PubMed and Scopus). Each selected paper was assigned to a framework category, and a thematic analysis was performed.

Topics scarcely explored in literature were related to logistics/supply chain, economic evaluations, performance management and customer satisfaction. Some papers embraced more than one management topic, confirming the multidisciplinary nature of territorial healthcare services. The majority of research, however, focused on only one aspect of primary care services, and a lack of an integrated view regarding the provision of those services emerged.

This study represents a first attempt to rationalize the fragmented body of knowledge on the topic of the provision of primary and community care services. This study enabled some light to be shed on the managerial levers already explored previously in literature and also identifies a number of trajectories for future research.

Logistics real estate has been experiencing a recent rebirth led by the growth of retailing and e-commerce. Although these sectors are looking for facilities matching their logistics needs, the identification of the most suitable building becomes a challenging task. To date, from both the practitioner’s and academic perspectives there is a lack of models for assessing the quality of logistics facilities together with functionality (i.e. whether a warehouse is suitable for hosting a given logistics activity). The purpose of this paper is to fill this gap by developing a rating model for assessing the quality and functionality of logistics facilities.

A three-pronged methodology was adopted. First, a Systematic Literature Network Analysis (SLNA) was carried out to identify the relevant features that must be taken into consideration when assessing logistics real estate. Second, a Delphi method involving experts in the field was used to fine-tune the list of features that emerged from the SLNA process and to evaluate the importance of each feature from a company perspective. The rating model was developed and validated through pilot tests on 27 logistics facilities.

The rating model is divided into four sections: location, technical specifications, external spaces and internal areas. As an output, the model determines the building quality and main functionality, together with a gap analysis to detect the weakest emerging elements.

This research fills an identified research gap in the logistics real estate literature. Specifically, it offers a quantitative and shared evaluation method, which can be used to estimate building quality and functionality, thus extending the scope of the previous assessment methods available.

The purpose of this paper is to develop a benchmarking framework for assessing the performance of the distribution models adopted by the local branches of National Health Services (NHSs) for delivering health technologies to patients at a local level, and to derive prescriptions for enhancing design and optimal management of the distribution models.

The authors focussed the study on the distribution of absorbent devices for incontinence, adopting the analytic hierarchy process as a tool for developing the benchmarking framework. The authors applied the framework to the context of the Italian NHS with respect to the Lombard Local Health Authorities, assessing their performance in terms of operational efficiency and service quality.

The developed framework constitutes a novel contribution, and it allows for generating prescriptions. Through its application to the context studied the authors found that a “one-size-fits-all” distribution model cannot be proposed, as regards both efficiency and effectiveness, since process standardization does not provide benefits or savings in all contexts. Rather, a total landed cost approach in the evaluation of the distribution practices must be adopted.

This paper offers to managers and decision makers an innovative approach to the design of distribution models for health technologies. It provides policy makers with prescriptions to develop regulations fostering a comprehensive view of the factors for an optimal health technologies distribution at a local level.

Given the dearth of scientific publications focussed on the distribution at the local level of health technologies, this paper significantly contributes to the existing body of knowledge and it offers an innovative framework which can be proficiently replicated in manifold contexts.

The purpose of this study is to analyse various risks associated with third-party logistics (3PL) in the coffee supply chain and to present a framework that computes the influence of these risks on the critical success factors of the coffee supply chain.

The risks have been identified through a comprehensive literature review and validation by industry experts. The paper utilises an interpretive structural modelling (ISM) methodology for developing a hierarchical relationship among the CSFs. Furthermore, fuzzy MICMAC analysis is carried out to categorise these CSFs based on their driving power and dependence value. The fuzzy technique for order preferences by the similarity of an ideal solution (fuzzy-TOPSIS) approach has been applied to prioritise the risks associated with 3PL based on their ability to influence the CSFs of the coffee SC. Furthermore, we performed a sensitivity analysis to analyse the stability of the results obtained in this study.

This study illustrates ten risks associated with 3PL and five CSFs in the coffee supply chain. The analysis revealed that coffee enterprises need to develop a balanced pricing strategy to ensure a sustainable competitive advantage, whereas the lack of direct customer communication is the most dominant 3PL risk affecting the CSFs.

This research provides coffee enterprises with a generalised framework with set parameters that can be used to attain a successful coffee supply chain in any developing nation.

The study contributes to the literature by being the first kind of study, which has used fuzzy ISM-MICMAC to analyse the CSFs of the coffee supply chain and fuzzy-TOPSIS for analysing the impact of various risks associated with the 3PL in the coffee supply chain. Thus, this work can be considered a benchmark for future research and advancement in the coffee business field.