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The various quality improvement (QI) frameworks and maturity models described in the health services literature consider some aspects of QI while excluding others. This paper aims to present a concerted attempt to create a quality improvement maturity model (QIMM) derived from holistic principles underlying the successful implementation of system-wide QI programmes.

A hybrid methodology involving a systematic review (Phase 1) of over 270 empirical research articles and books developed the basis for the proposed QIMM. It was followed by expert interviews to refine the core constructs and ground the proposed QIMM in contemporary QI practice (Phase 2). The experts included academics in two academic conferences and 59 QI managers from the New Zealand health-care system. In-depth interviews were conducted with QI managers to ascertain their views on the QIMM and its applicability in their respective health organisations (HOs).

The QIMM consists of four dimensions of organisational maturity, namely, strategic, process, supply chain and philosophical maturity. These dimensions progress through six stages, namely, identification, ad-hoc, formal, process-driven, optimised enterprise and finally a way of life. The application of the QIMM by the QI managers revealed that the scope of QI and the breadth of the principles adopted by the QI managers and their HOs in New Zealand is limited.

The importance of QI in health systems cannot be overstated. The proposed QIMM can help HOs diagnose their current state and provide a guide to action achieving a desirable state of quality improvement maturity. This QIMM avoids reliance on any single QI methodology. HOs – using the QIMM – should retain full control over the process of selecting any QI methodology or may even cherry-pick principles to suit their needs as long as they understand and appreciate the true nature and scope of quality overstated. The proposed QIMM can help HOs diagnose their current state and provide a guide to action achieving a desirable state of quality improvement maturity. This QIMM avoids reliance on any single QI methodology. HOs – using the QIMM – should retain full control over the process of selecting any QI methodology or may even cherry-pick principles to suit their needs as long as they understand and appreciate the true nature and scope of quality.

This paper contributes new knowledge by presenting a maturity model with an integrated set of quality principles for HOs and their extended supply networks.

As net-zero pledges gain momentum globally, more and more accommodation businesses seek to quantify their carbon emissions. Building on Chan (2021), this study aims to explore what drives Australian accommodation providers to measure the carbon footprint of their businesses and what barriers hinder them from doing so.

Empirical data were collected by conducting ten semi-structured interviews with owners, senior executives, consultants, certification bodies and hotel management companies. The set of interviews represented different segments of the hotel industry and various accommodation types. Data were analysed with thematic analysis.

The major drivers for adopting carbon footprint analysis are as follows: the analysis being perceived as an important contribution to a company's corporate responsibility, the owner or manager's environmental concern, the assessment being a requirement for obtaining an eco-certification and the business benefits associated with implementing the initiative. The major barriers hindering adoption include the following: difficulties with data gathering, the lack of a standard methodology, a lengthy decision-making process and a lack of resources.

Based on the empirical findings and three theories on ecological responsiveness, this study develops a conceptual framework for implementing carbon footprint analysis in the accommodation context and recommends strategies to increase the adoption of carbon footprint analysis.

This study responds to Chan and Hsu's (2016) call for further research on carbon footprint in the hotel context and represents the first attempt to explore the drivers and barriers specifically associated with implementing carbon footprint analysis in the accommodation sector.

“Scholarly Communication” is a frequent topic of both the professional and research literature of Library and Information Science (LIS). Despite efforts by individuals (e.g. Borgman, 1989) and organizations such as the Association of College and Research Libraries (ACRL) to define the term, multiple understandings of it remain. Discussions of scholarly communication infrequently offer a definition or explanation of its parameters, making it difficult for readers to form a comprehensive understanding of scholarly communication and associated phenomena.

This project uses the evolutionary concept analysis (ECA) method developed by nursing scholar, Beth L. Rodgers, to explore “Scholarly Communication” as employed in the literature of LIS. As the purpose of ECA is not to arrive at “the” definition of a term but rather exploring its utilization within a specific context, it is an ideal approach to expand our understanding of SC as used in LIS research.

“Scholarly Communication” as employed in the LIS literature does not refer to a single phenomenon or idea, but rather is a concept with several dimensions and sub-dimensions with distinct, but overlapping, significance.

The concept analysis (CA) method calls for review of a named concept, i.e. verbatim. Therefore, the items included in the data set must include the phrase “scholarly communication”. Items using alternate terminology were excluded from analysis.

The model of scholarly communication presented in this paper provides language to operationalize the concept.

LIS lacks a nuanced understanding of “scholarly communication” as used in the LIS literature. This paper offers a model to further the field's collective understanding of the term and support operationalization for future research projects.

The purpose of this study is to examine the predictive value of psychopathy features on crime-related emotional states in forensic male patients with offence histories who were mandated to Dutch clinical care.

The study had a retrospective design in which psychopathy features were assessed using the Psychopathy Checklist-Revised. For each patient, information on the events leading up to the crime and a description of the crime itself were extracted from the hospital record to assess emotional states. These crime-related emotional states were assessed using the mode observation scale. The sample consisted of 175 patients with offence histories.

Multiple regression analyses indicated that affective features of psychopathy were a negative predictor for feelings of vulnerability in the events leading up to the crime but not predictive of loneliness. The interpersonal features were predictive of deceit during criminal behaviour.

This study leads to a better, more nuanced and substantiated understanding of which emotional states play a prominent role in criminal behaviour and how these states are affected by psychopathic traits. This knowledge can influence existing treatment programmes for patients with offence histories.

Several studies have examined the relationship between emotional states and criminal behaviour and between psychopathy and emotions, but less is known about the predictive relationship between psychopathy features and crime-scene-related emotional states.

The purpose of this paper is to provide an overview of the literature regarding the academic online learning experience under the lens of broad personality traits, in the transition from traditional to online learning due to global coronavirus pandemic (COVID-19).

The systematic literature review is based on preferred reporting items for systematic reviews and meta-analyses (PRISMA) method and includes indexed empirical studies in academic institutes during the period of COVID-19 outbreak.

Electronic sources identified 103 references; while after the elimination of duplicates and irrelevant titles, 42 papers were forwarded for abstract screening and later full-text assessment. Of these, 14 met the eligibility criteria. Finally, nine studies were included in the literature review profiling and in the qualitative analysis.

The research insights provided in this study are useful in terms of enhancing the view that link broad personality traits and various learning outcomes, during the necessitated transition to online learning by the public health emergency of the COVID-19 pandemic.

The National Association for Professional Development Schools (NAPDS) recognizes that there is a tendency for the term “PDS” (Professional Development School) to be used as a catch-all for various relationships that constitute school–university partnership work. The intent of this NAPDS statement is to assert the essentials, or fundamental qualities, of a PDS. NAPDS encourages all those working in school–university relationships to embrace the Nine Essentials of PDSs communicated in this statement. The Essentials are written in tangible, rather than abstract, language and represent practical goals toward which work in a PDS should be directed.

Policy statement.

NAPDS maintains that these Nine Essentials need to be present for a school-university relationship to be called a PDS. Without having all nine, the relationship that exists between a school/district and college/university, albeit however strong, would not be a PDS. How individual PDSs meet these essentials will vary from location to location, but they all need to be in place to justify the use of the term “PDS.”

For those in established PDSs, some aspects of this document will be confirmed, while other aspects may be identified as needing attention. For those aspiring to establish PDSs, the authors offer this statement as a useful guide for their work. NAPDS invites individuals involved in school–university partnerships to share this statement with colleagues in the spirit of continuous improvement. By coming to terms with the challenges and opportunities inherent in this statement, the study can collectively fulfill the vision of this remarkable and distinct partnership called PDS.

This policy statement articulates how the Nine Essentials are the foundation of PDS work.

This paper aims to present a methodology for the detection and categorisation of metal powder particles that are partially attached to additively manufactured lattice structures. It proposes a software algorithm to process micro computed tomography (µCT) image data, thereby providing a systematic and formal basis for the design and certification of powder bed fusion lattice structures, as is required for the certification of medical implants.

This paper details the design and development of a software algorithm for the analysis of µCT image data. The algorithm was designed to allow statistical probability of results based on key independent variables. Three data sets with a single unique parameter were input through the algorithm to allow for characterisation and analysis of like data sets.

This paper demonstrates the application of the proposed algorithm with three data sets, presenting a detailed visual rendering derived from the input image data, with the partially attached particles highlighted. Histograms for various geometric attributes are output, and a continuous trend between the three different data sets is highlighted based on the single unique parameter.

This paper presents a novel methodology for non-destructive algorithmic detection and categorisation of partially attached metal powder particles, of which no formal methods exist. This material is available to download as a part of a provided GitHub repository.

In the current dynamic world, organizations required rapid changes to meet the increasing demands of their customers. On the other hand, the practice side claims that the majority of the organizational change attempts fail due to resistance from the employee side. Based on the behavioral theory of leadership, the authors examined the relationship between ethical leadership and organizational change with moderated mediation effect of behavioral resistance to change and commitment to change on the stated relationship.

Data were obtained from 333 employees, selected at random, in three waves (i.e. pre-change, during change and post-change) using survey methods from services sector organizations operating in Pakistan.

The authors found that ethical leadership was positively linked to organizational change and this relation was partially mediated by the commitment to change. Further, behavioral resistance to change weakened the relationship between ethical leadership and commitment to change.

The current study illuminates the importance of ethical leaders in the organizational change process, and empirical findings also gave an important direction to build change commitment in employees to reach positive results. Further, change leaders should use ethical practices in the workplace during organizational change initiatives to deal with behavioral resistance to change.

This study links ethical leadership with organizational change using the behavioral theory of leadership, an unexplored area in the existing literature that gives a new insight to academia and practice side officials to successfully implement any organizational change initiative.

This study proposes a methodology based on data source triangulation to measure the “strategic fit” for the automotive supply chain.

At first, the authors measured the responsiveness of the Indian automobile supply chain, encompassing the top ten major automobile manufacturers, using both sentiment and conjoint analysis. Second, the authors used data envelopment analysis to identify the frontiers of their supply chain. The authors also measured the supply chain's efficiency, using the balance sheet. Further, the authors analyzed the “strategic fit” zone and discussed the results.

The results indicate that both the proposed methods yield similar outcomes in terms of strategic fitment.

The study outcomes facilitate measuring the strategic fit, thereby leveraging the resources available to align. The methodology proposed is both easy to use and practice. The methodology eases time and costs by eliminating hiring agencies to appraise the strategic fit. This valuable method to measure strategic fit can be considered feedback for strategic actions. This methodology could also be incorporated possibly as an operative measurement and control tool.

Data triangulation meaningfully enhances the accuracy and reliability of the analyses of strategic fit. Data triangulation leads to actionable insights relevant to top managers and strategic positioning of top managers within a supply chain.