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The evolution of polymers and similar organic compounds has literally revolutionised the paint industry, as witness the variety of types of paint manufactured today, compared with not so very long ago when only high gloss paint, undercoat and distemper were available.

This study aims to provide a detailed description of the nurses in the lead (NitL) programme for empowering community nurse leadership in implementing evidence.

The NitL programme is described using the template for intervention description and replication-checklist.

The NitL programme consists of two components. The first component is a systematic approach with implementation steps and tools to empower community nurses in implementing evidence targeted at encouraging functional activities of older adults offered via a Web-based eLearning programme. The second component is training to empower community nurses in enabling team members to change their practice, which focussed on motivational interviewing, influencing behaviour, dealing with resistance to change and coaching delivered as a combination of group training in practice and background theory via a web-based eLearning programme.

Further research is needed to evaluate the feasibility and effects of the NitL programme.

The NitL programme has been developed in cooperation with community nurses to meet their needs in practice and has the potential to develop leadership for the core tasks of community nurses.

The NitL programme has been developed to empower the leadership of community nurses in implementing evidence targeted at encouraging functional activities of older adults. The leadership role of community nurses is key for delivering high-quality care and implementing evidence within the community care setting for encouraging functional activities of older adults to preserve their independence.

Alternative education settings (AES; i.e., self-contained alternative schools, therapeutic day treatment and residential schools, and juvenile corrections schools) serve youth with complicated and often serious academic and behavioral needs. The use of evidence-based practices (EBPs) and practices with Best Available Evidence are necessary to increase the likelihood of long-term success for these youth. In this chapter, we define three primary categories of AES and review what we know about the characteristics of youth in these schools. Next, we discuss the current emphasis on identifying and implementing EBPs with regard to both academic interventions (i.e., reading and mathematics) and interventions addressing student behavior. In particular, we consider implementation in AES, where there are often high percentages of youth requiring special education services and who have a significant need for EBPs to succeed academically, behaviorally, and in their transition to adulthood. We focus our discussion on: (a) examining approaches to identifying EBPs; (b) providing a brief review of EBPs and Best Available Evidence in the areas of mathematics, reading, and interventions addressing student behavior for youth in AES; (c) delineating key implementation challenges in AES; and (d) providing recommendations for how to facilitate the use of EBPs in AES.

Wiki forms a new model of virtual collaboration. The original wiki is designed to hide content authorship information. Such design may hinder users from being aware of task conflict, resulting in low-efficient conflict management and decreased group performance. This study aims at increasing users' awareness of task conflict to facilitate wiki-based collaboration.

A visual feedback dialog box is designed to increase users' awareness of task conflict. A survey-based comparative study is conducted by using original wiki and modified wiki (the new design). A total of 301 participants are invited. Structural equation model (SEM) is used to analyze survey data.

Most users are willing to solve conflict issues, and the dialog box can increase users' awareness of task conflict. Conflict awareness can promote user's participation, gain better conflict resolution and improve group performance. The dialog box can enhance the influence of conflict awareness on user participation and conflict resolution, but reduce the influence of conflict awareness on group performance.

Only undergraduate students are invited, some typical variables are not included. The design needs improvement.

A new wiki tool is designed. The influence of conflict awareness is explored while previous studies largely ignore this variable.

The concept of employing web-based configuration systems towards mass customization of housing has been implemented by some prefabricated housing companies around the globe, and has become a challenging research area in the last few decades as an outcome of advancements in communication and design technologies. Different methodologies have been employed with the aim of efficiently engaging future homebuyers in the design of their homes. The thrust of this paper is to systematically formalize an advanced configuration system for mass customization of prefabricated housing for a company operating in the Canadian market. The focus is on one floor bungalows which are common within the Province of Quebec. Such housing models targets a specific market sector; elderly couples seeking retirement homes, with the aim of improving affordability through maintaining particular design and production qualities.

Evidence-based interventions (EBIs) for human services unfold within complicated social and organizational circumstances and are influenced by the attitudes and behaviors of diverse stakeholders situated within these environments. Coaching is commonly regarded as an effective strategy to support service providers in delivering EBIs and attaining high levels of fidelity over time. The purpose of this paper is to address a lacuna in research examining the factors influencing coaching, an important EBI support component.

The authors use the Exploration, Preparation, Implementation, and Sustainment framework to consider inner- and outer-context factors that affect coaching over time. This case study of coaching draws from a larger qualitative data set from three iterative investigations of implementation and sustainment of a home visitation program, SafeCare®. SafeCare is an EBI designed to reduce child neglect.

The authors elaborate on six major categories of findings derived from an iterative data coding and analysis process: perceptions of “good” and “bad” coaches by system sustainment status; coach as peer; in-house coaching capacity; intervention developer requirements vs other outer-context needs; outer-context support; and inner-context support.

Coaching is considered a key component for effective implementation of EBIs in public-sector systems, yet is under-studied. Understanding inner- and outer-context factors illuminates the ways they affect the capacity of coaches to support service delivery.

This paper demonstrates that coaching can accomplish more than provision of EBI fidelity support. Stakeholders characterized coaches as operating as boundary spanners who link inner and outer contexts to enable EBI implementation and sustainment.

In the early days of the COVID-19 pandemic, an area could only report its first positive cases if the infection had spread into the area and if the infection was subsequently detected. A standard probit model does not correctly account for these two distinct latent processes but assumes there is a single underlying process for an observed outcome. A similar issue confounds research on other binary outcomes such as corporate wrongdoing, acquisitions, hiring, and new venture establishments. The bivariate probit model enables empirical analysis of two distinct latent binary processes that jointly produce a single observed binary outcome. One common challenge of applying the bivariate probit model is that it may not converge, especially with smaller sample sizes. We use Monte Carlo simulations to give guidance on the sample characteristics needed to accurately estimate a bivariate probit model. We then demonstrate the use of the bivariate probit to model infection and detection as two distinct processes behind county-level COVID-19 reports in the United States. Finally, we discuss several organizational outcomes that strategy scholars might analyze using the bivariate probit model in future research.

Clinician turnover in mental health settings impacts service quality, including availability and delivery of evidence-based practices. Leadership is associated with organizational climate, team functioning and clinician turnover intentions (TI). This study examines leader–member exchange (LMX), reflecting the relationship between a supervisor and each supervisee, using mean team LMX, dispersion of individual clinician ratings compared to team members (i.e. relative LMX) and team level variability (i.e. LMX differentiation), in relation to organizational climate and clinician TI.

Survey data were collected from 363 clinicians, nested in children's mental health agency workgroups, providing county-contracted outpatient services to youth and families. A moderated mediation path analysis examined cross-level associations of leader–member exchange with organizational climate and turnover intentions.

Lower relative LMX and greater LMX differentiation were associated with higher clinician TI. Higher team-level demoralizing climate also predicted higher TI. These findings indicate that poorer LMX and more variability in LMX at the team level are related to clinician TI.

This study describes both team- and clinician-level factors on clinician TI. Few studies have examined LMX in mental health, and fewer still have examined relative LMX and LMX differentiation associations with organizational climate and TI. These findings highlight the importance of leader–follower relationships and organizational climate and their associations with clinician TIs. Mental health service systems and organizations can address these issues through fostering more positive supervisor–supervisee relationships.

This study aims to develop a robust predictive model for anticipating financial distress within Pakistani companies, providing a crucial tool for proactive economic turbulence management.

To achieve this objective, the study examines a comprehensive data set comprising nonfinancial firms listed on the Pakistan Stock Exchange from 2005 to 2022. It investigates 23 financial ratios categorized under profitability, liquidity, leverage, asset efficiency, size and growth.

The study reveals that financial ratio indices are more effective in forecasting financial distress compared to individual ratios. These indices achieve impressive accuracy rates, ranging from a robust 93.90% in the first year leading up to bankruptcy to a commendable 73.71% in the fifth year. Furthermore, the research identifies profitability, liquidity, leverage, asset efficiency, size and growth as pivotal indicators for financial distress prediction.

This research underscores the utility and practicality of financial ratio indices, offering a comprehensive perspective on risk assessment and management. In conclusion, this pioneering study provides valuable insights into financial distress prediction, highlighting the enhanced information capture made possible by financial ratio indices. It equips stakeholders in the Pakistan Stock Exchange with an effective means to proactively address financial risks.

A growing body of research outlines how to best facilitate and ensure methodological rigor when using dictionary-based computerized text analyses (DBCTA) in organizational research. However, these best practices are currently scattered across several methodological and empirical manuscripts, making it difficult for scholars new to the technique to implement DBCTA in their own research. To better equip researchers looking to leverage this technique, this methodological report consolidates current best practices for applying DBCTA into a single, practical guide. In doing so, we provide direction regarding how to make key design decisions and identify valuable resources to help researchers from the beginning of the research process through final publication. Consequently, we advance DBCTA methods research by providing a one-stop reference for novices and experts alike concerning current best practices and available resources.