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The a priori identification and development of army personnel competencies are necessary to enable effective and efficient responses to rapidly changing climate conditions. Accordingly, this study aims to identify the performance requirements of a military flood responder and the competencies (knowledge, skills and abilities) required to perform it.

Using an abductive approach, the authors conducted both secondary and primary research to generate a validated framework of performance criteria and competencies for army personnel responding to floods. This literature review integrated both the peer-reviewed academic literature and public sector grey literature. Using the critical incident technique, the authors then conducted semi-structured interviews with 15 members of the Canadian Armed Forces (CAF) who had previously been tasked with flood response operations. Participants were asked about the tasks required while conducting flood response operations. Interview transcripts were then content analysed to identify themes regarding those tasks, and the competencies needed to perform those tasks were then extracted and contrasted with the literature review findings. Inter-rater reliability for the analysis was established via iterative discussion between the two co-authors.

The primary data reinforced and expanded the list of performance expectations that the authors deductively identified from the integrated literature review, adding granularity to each. It also identified competencies (including both hard and soft skills) and highlighted previously neglected contextual antecedents of military flood response effectiveness.

though knowledge saturation was achieved from the 15 interviews conducted, further research with larger samples could more deeply ground the evidence discovered in this study. Nevertheless, the competencies identified in this paper could serve as a starting guide to staffing and/or training interventions targeted at improving these competencies for personnel responding to flood scenarios.

The theoretical findings also have immediate practical relevance to training for flood response operations. In particular, the subtle challenges in competency crossover from military operations to flood response operations may facilitate not only more efficient, targeted training (that could improve the effectiveness of army personnel involved in humanitarian roles), but could be applied to the selection of army personnel as well. This study may also help provincial/municipal operators and emergency planners by better communicating the strengths and limitations of army personnel in addressing civilian military cooperation for humanitarian operations. Thus, the findings of this research study represent an important first step in prompting attention to the strategic human resource planning studies required to make all responders more efficient and effective in their respective division of labour within the humanitarian domain.

Peering a little beyond these research findings, human-induced climate change is expected to continue increasing the frequency of such events (IPCC, 2021), and a timely, national force is likely to be increasingly required for Canadians impacted by major disasters stemming from natural hazards when local resources become overwhelmed. Yet, there is some concern from the CAF that increasing responsiveness to disaster operations will affect their military readiness (Leuprecht and Kasurak, 2020). One can indeed envision a paradox whereby the CAF is both a “force of last resort” while increasingly becoming a “first choice for domestic disaster and emergency assistance”. The practical implications from this research also suggest that military personnel, while fully capable of successfully conducting flood response operations, may become overburdened and less able to adopt yet greater capacity and training for other additional humanitarian work. Nevertheless, the competencies highlighted by participants can help inform the next flood response operation in Canada.

Most literature in the field of emergency response focuses on cooperation between civilian and military resources and other strategic-level themes. The findings address critical granularity missing at the operational and tactical levels of humanitarian assistance and disaster relief research. The authors also draw implications beyond the military context, including for local/regional governmental players (operators and emergency planners) as well as for volunteers in flood response roles.

The primary objective of this chapter is to synthesize and organize prevailing theoretical perspectives on metacognition into a framework that can enhance understanding of metacognitive phenomena, with the aim of stimulating future research in the field of organizational behavior and human resources management (OBHRM). The author starts with a review of the history of metacognition research, distinguishing it from related theoretical constructs such as cognition, executive function, and self-regulation. Following this, the author outlines five constituent elements of metacognition – metacognitive knowledge, metacognitive experiences, metacognitive monitoring, a dynamic mental model, and metacognitive control – with discussions on their interrelationships and respective functions. Two approaches to metacognition, a process approach and an individual-difference approach, are then presented, summarizing key questions and findings from each. Finally, three broad directions for future research in OBHRM are proposed: examining metacognitive processes, considering mechanisms beyond learning to explain the effects of metacognition, and exploring both domain-specific and general metacognitive knowledge and skills. The implications of these research directions for personnel and human resources management practices are discussed.

Integrated care is the leading approach to developing health and social care services in Finland. After the national health and social care reform, the importance of assessing integration has been emphasized. The aim of this study was to pilot the SCIROCCO tool, which assesses integration maturity, in Finland. The SCIROCCO tool was translated and adapted to the Finnish health and social care context. The feasibility and utility of this tool for assessing the maturity for integration across health and social care in Finland were evaluated using empirical pilot data collected among employees of selected well-being service counties. The study also provided baseline information on the maturity of integration after the national health and social care reform.

Employees (n = 111) of different personnel groups in health and social care services in four well-being service counties assessed the maturity of integration using a web-based survey. A pilot study design was used.

The SCIROCCO tool was found to be useful for assessing the maturity of integration in health and social care within the well-being service counties. However, the tool requires further development to be fully adapted to the Finnish health and social care system and to assess integration across sectors. The results emphasize the need to understand the perspectives of different personnel groups on integration and to consider them in the development work.

This was the first study conducted in Finland that provided valuable insights into the assessment of integration across the health and social care sectors. This study establishes the foundation for future research and development in the field of integration assessment.

School–university partnerships are important in teacher education to ensure PK-12 preservice teachers gain teaching experience prior to becoming teachers of record. Drawing on Ball and Cohen’s (1999) concept of “practice-based teacher education,” this three-year qualitative study examines the results of an intentionally reciprocal school–university partnership centered on a practice-based learning, field-based course. The following question guided this research: Having designed and facilitated a school–university partnership centered on reciprocity, what factors contributed to and/or took away from this commitment?

The current study examined three data sources, namely: (1) seven semi-structured focus group interviews with a teacher educator, sixth-grade teachers (n = 4) and a principal; (2) eight question/answer sessions between preservice teachers and partnering secondary teachers and (3)one focus group between the two authors. Data were analyzed using reflexive thematic analysis.

This study’s findings highlight the reciprocal nature of the school–university partnership, showcasing the positive outcomes and challenges faced by stakeholders. Clear communication and ongoing dialogue were identified as key elements to establishing and maintaining a reciprocal relationship. Additionally, emphasis on shared learning experiences between partners were found valuable and important to maintaining benefit to all partners. Relationship development also remained an important and positive outcome of this partnership. Additionally, there were challenges related to time, and schedule constraints were evident in the partnership. Moreover, ongoing reflection and a willingness to adjust and change based on experiences and lessons learned ensured participants recognized the importance of ongoing iteration and calibration to address challenges and enhance the partnership.

Because of the chosen research approach, the research results may lack generalizability.

The paper includes implications for the development of other school–university partnerships that prioritize reciprocity, highlighting an often assumed, but not always examined, component necessary to the success of school–university partnerships.

The paper proposes a framework for the successful deployment of Industry 4.0 (I4.0) principles in the aerospace industry, based on identified success factors. The paper challenges the perception of I4.0 being aligned with de-skilling and personnel reduction and instead promotes a route to successful deployment centred on upskilling and retaining personnel for future role requirements.

The research methodology involved a literature review and industrial data collection via questionnaires to develop and validate the framework. The questionnaire was sent to a purposive sample of 50 respondents working in operations, and a response rate of 90% was achieved. Content analysis was used to identify patterns, themes, or biases, and the data were tabulated based on specific common attributes. The proposed framework consists of a series of gates and criteria that must be met before progressing to the next gate.

The proposed framework provides a feedback mechanism to review minimum standards for successful deployment, aligned with new developments in capability and technology, and ensures quality assessment at each gate. The paper highlights the potential benefits of I4.0 implementation in the aerospace industry, including reducing operational costs and improving competitiveness by eliminating variation in manufacturing processes. The identified success factors were used to define the framework, and the identified failure points were used to form mitigation actions or controls for inclusion in the framework.

The paper provides a framework for the successful deployment of I4.0 principles in the aerospace industry, based on identified success factors. The framework challenges the perception of I4.0 as being aligned with de-skilling and personnel reduction and instead promotes a route to successful deployment centred on upskilling and retaining personnel for future role requirements. The framework can be used as a guideline for organizations to deploy I4.0 principles successfully and improve competitiveness.

The purpose of this study is to identify important strategies and practices supporting inter-organizational learning (IOL) in integrated care. The two research questions ask how organizational network architectures can help involved organizations overcome the barriers of IOL in integrated care (RQ1) and what design recommendations can strengthen the processes of IOL in integrated care (RQ2).

This study applies a qualitative design to analyze an improvement initiative in a regional, integrated care service for elderly patients with multiple illnesses in Norway. An inductive thematic analysis for the triangulating of qualitative data from different sources was applied. Patterns within the data were organized into themes, categories and subcategories. No software was applied.

The identified characteristics of the organizational network architectures supporting IOL in integrated care in the case under study were: equality of the involved parties, shared goals, recognition of expertise and the abilities to coordinate, design IOL processes and make joint decisions (RQ1). The categories of practices supporting the process of IOL were: insight into complex realities, contradictions, iteration, motivation and prototypes (RQ2).

This study offers much-needed insight into a successful approach for IOL in integrated care. The results offer strategies to be considered when building organizational networks for the improvement of integrated care and relevant practices useful when designing IOL processes in such care services. We believe such knowledge has important implications for policymakers, frontline personnel, education, research and leaders.

Digitalisation, which involves the use of digital technologies in transforming an organisation’s activities, transcends just the acquiring of emerging digital tools. Having the right people to drive the implementation of these technologies and attaining strategic organisational goals is essential. While most studies have focused on the use of emerging technologies in the construction industry, less attention has been given to the ‘people’ dimension. Therefore, this study aims to assess the people-related features needed for construction digitalisation.

The study adopted pragmatic thinking using a mixed-method approach. A Delphi was used to achieve the qualitative aspect of the research, while a questionnaire survey conducted among 222 construction professionals was used to achieve the quantitative aspect. The data gathered were analysed using frequency, percentage, mean item score, Kruskal–Wallis H test, exploratory factor analysis and confirmatory factor analysis.

Based on acceptable reliability, validity and model fit indices, the study found that the people-related factors needed for construction digitalisation can be grouped into technical capability of personnel, attracting and retaining digital talent and organisation’s digital culture.

The findings offer valuable benefits to construction organisations as understanding these identified people features can help lead to better deployment of digital tools and the attainment of the digital transformation.

This study attempts to fill the gap in the shortage of literature exploring the people dimension of construction digitalisation. The study offers an excellent theoretical backdrop for future works on digital talent for construction digitalisation, which has gained less attention in the current construction digitalisation discourse.

Meaningfulness at work means experience of work as important, satisfying and valuable. It is a key factor in promoting individual growth, strengthening the belief in one's own abilities and supporting a sense of belonging and commitment to the organization. In this paper, we explore managers' perceptions of meaningful work in the future, focusing on managers' talk about meaningful work and its promotion in their organizations.

The data for the study consists of 25 stories of future working life collected from Finnish managers in spring 2022, using the empathy-based method.

From managers' stories of future working life, we identified two overarching perception categories of meaningful work: (1) Perceptions of contexts underlining the experience of meaningfulness: evolving technologies, developing expertise and demands and change in working life values and (2) Perceptions of management practices determining meaningful work: leader-centered, distant and technical management practice versus participatory and interactive management practice.

The research produces a new and detailed understanding of the ways in which managers talk about decreasing and increasing meaningfulness at work and management practices related to it. As the research is qualitative in nature and based on a small dataset, its results cannot be generalized. Instead, it strengthens and sharpens the previous understanding of meaningful work and the future of work.

This study aims to examine the effects of Internet of Things (IoT) technology on efficiency and patient care in Italian and Israeli intensive care units (ICUs). The goal is to study how IoT might improve care settings by controlling health dynamics and responding to life-threatening circumstances.

This survey-based research explores IoT use, challenges and adaptability in ICUs in both countries. Interviews and surveys of ICU health-care workers are used to get both quantitative and qualitative data on integrating experiences and perspectives.

The research found significant variations between Italy and Israel due to technology infrastructures and health-care practices. Israel shows a more concentrated deployment in a major medical centre with advanced but limited uptake, whereas Italy shows application throughout ICUs highlighting regional health-care system disparities. Interoperability, data security and IoT training are common difficulties.

This research has limitations. One drawback is the geographical dispersion of study sites, with a bigger sample size in Italy than in Israel. This discrepancy may affect findings applicability. However, these preliminary findings provide a foundation for further research into the complexities of deploying IoT in various health-care settings.

This study compares IoT integration in two national health-care systems, adding to health-care technology literature. Regional variations affect technology adoption, but IoT may enhance ICU operations and patient care, according to one research. This study helps health-care practitioners, academics and policymakers understand the pros and cons of IoT in health care.

This case study involves interviews with radiologists of various hospitals and with company personnel. Both primary and secondary data sources have been used. The first-hand perspective from the radiologists highlighted the challenges they face concerning time and the patient load. The company personnel highlighted using machine learning for used cases to make the platform more robust and accurate. This case has been tested with MBA students.

An emerging health-care artificial intelligence (AI) start-up, DeepTek.AI, wants to expand its reach in the radiology market. The company intends to leverage technology to assist radiologists in diagnostics. India's health-care sector faces the challenge of needing more trained doctors and nurses to meet the ever-increasing needs of patients. This case study revolves around the radiologists' concerns about implementing the new technology and its ease of use. The features and benefits of integrating AI in diagnostics are the need of the hour, but the reliability of results needs to be ascertained for adopting it.

This case was written for marketing applications and practices, trends in marketing, marketing strategy and technology adoption in marketing courses at the post-graduate level. Consumer adoption of finance, hospitality, travel and health-care technology is vital for increasing the company's market share and growth prospects. The students will have an opportunity to understand the challenges and the opportunities.