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The purpose of this study is to examine the rostering practices and work experiences of medical scientists at four health services in the Australian public healthcare sector. There are over 16,000 medical scientists (AIHW, 2019) in Australia responsible for carrying out pathology testing to help save the lives of thousands of patients every day. However, there are systemic shortages of medical scientists largely due to erratic rostering practices and workload issues. The purpose of this paper is to integrate evidence-based human resource management (EBHRM), the LAMP model and HR analytics to enhance line manager decision-making on rostering to support the wellbeing of medical scientists.

Using a qualitative methodological approach, the authors conducted 21 semi-structured interviews with managers/directors and nine focus groups with 53 medical scientists, making a total 74 participants from four large public hospitals in Australia.

Across four health services, manual systems of rostering and management decisions do not meet the requirements of the enterprise agreement (EA) and impact negatively on the wellbeing of medical scientists in pathology services. The authors found no evidence of the systematic approach of the organisations and line managers to implement the LAMP model to understand the root causes of rostering challenges and negative impact on employees. Moreover, there was no evidence of sophisticated use of HR analytics or EBHRM to support line managers' decision-making regarding mitigation of rostering related challenges such as absenteeism and employee turnover.

The authors contribute to HRM theory by integrating EBHRM, the LAMP model (Boudreau and Ramstad, 2007) and HR analytics to inform line management decision-making. The authors advance understandings of how EBHRM incorporating the LAMP model and HR analytics can provide a systematic and robust process for line managers to make informed decisions underpinned by data.

Increasingly, emerging information technologies such as shared software and continuous accounting are offering alternative ways to perform accounting tasks in a supposedly more efficient fashion. Yet, few studies have investigated how they affect the provision of accounting services, especially in the context of small accounting firms, which provide legal and tax services to entrepreneurs and businesses. Drawing on the service perspective, the paper critically examines how technological innovation challenges and reconfigures the co-production of accounting services in these firms.

The paper answers calls issued in prior studies to conduct empirical research on emerging information technologies for accountants. It focuses on the specific context of small accounting firms and draws on interviews with small accounting firms' managers (n = 20).

The study emphasizes five significant challenges that accounting firm managers face when using information technologies to support the provision of their services (ensuring reliability, factoring in their heterogeneous client base, repricing, training clients to use new technologies and promoting advisory services). Information technologies are shown to have a structuring role in the co-production of accounting services, as they lead to reconfigurations of the relationships between accountants and their clients. A range of four configurations is developed to highlight accountants' strategies to maintain collaborative relationships with their clients while integrating new technologies into their work practices.

By conceptualizing accounting services as a co-production process, the paper offers new insights into the implications of emerging information technologies for small accounting firms.

The core emphasis of the paper is to inspect the relationships between managerial leadership, employee happiness and turnover intentions among academicians of private universities in Punjab.

The proposed study used a descriptive research methodology and a structured instrument to collect responses from individuals (n = 400) using a purposive sampling method. SPSS and partial least squares structural equation modeling (PLS-SEM) are applied to evaluate the data.

The outcomes disclosed that managerial leadership has a substantial effect on employee happiness (ß = 0.591, p < 0.05) and turnover intentions (ß = 0.566, p < 0.05). Besides this, it has been discovered that employee happiness mediates the association among managerial leadership and turnover intentions. The present research is among the few empirical findings that have examined academicians' perspectives on their turnover intentions in private universities.

By concentrating on effective managerial leadership and employee happiness, the analysis will be advantageous for human resource (HR) managers and authorities of private universities to strengthen academician retention. Therefore, the study adds something novel to the corpus of extant literature.

This article aims to provide knowledge on the antecedents and consequences of individual proactive behaviour. The proposed research model includes two unexplored antecedents (experienced meaningfulness of work and industry competitive intensity) and one consequence (individual proficiency).

Data were collected from 297 salespeople working at 105 enterprises in a range of industries. Data analysis was performed by applying confirmatory factor analysis and structural equation modelling.

The results show (1) a positive association between industry competitive intensity and salespeople’s experienced meaningfulness of work and their proactivity at work; (2) a positive relationship between salespeople’s proactive behaviour and their individual proficiency and (3) that salespeople’s proactivity mediates the relation between industry competitive intensity and the experienced meaningfulness of work and individual proficiency.

The results suggest that managers could stimulate proactive behaviour by increasing the experienced meaningfulness of work. They also indicate that it is not only individual factors that are relevant in stimulating proactive behaviour at work, as contextual factors (particularly external ones) can also influence individual decisions with regard to engaging or not in proactive behaviour. Our findings regarding the positive relationship between proactivity and proficiency would help managers to encourage salespeople’s proactive behaviour.

The study aims to provide relevant information on the educational processes experienced by university students in Spain during the period of compulsory confinement. To this end, the key factors of the emergency educational model implemented by the country's universities have been analysed.

The study investigated, through qualitative, exploratory research and 30 in-depth interviews, how university students have lived the process of change to alternative forms of education during the crisis, what training experiences stand out and what factors related to virtual education they identify as relevant keys.

Participants usually focus on three main topics: (1) The impacts of changes in training development with regard to methodologies and forms of assessment; (2) The facilities and difficulties in this new modality of online training; and (3) The consequences of the crisis on higher education in the medium and long term.

Students participating in the study offer relevant and critical information on the adaptations developed by Spanish universities during the Coronavirus crisis. This information can be fundamental for the conscious decision making of the institutions, so that they can develop educational processes more adequate to the needs and possibilities of the university students in times of crisis.

This study aims to document students’ supply chain solutions developed through the internship hackathon program. The study profiled innovative solutions developed by university students in Kenya to solve health supply chain logistics challenges during and beyond COVID-19. This is done by exploring students’ experience in developing sustainable logistics and supply chain management capacity-building programs in a low-middle-income country (LMIC).

This study used a qualitative approach to explore the experiences and perceptions of students and mentors who participated in a hackathon program. The study followed a cross-sectional descriptive survey design, collecting data from the participants through online questionnaires. The data were analyzed and presented using thematic analysis and narrative techniques.

Findings provide preliminary evidence for narrowing the gap between theory and practice through a hackathon internship blended with a mentorship program. Assessment of this program provides evidence for developing solutions toward ensuring the availability of essential medicine in LMICs during a pandemic such as COVID-19 by students. The profiled solutions demonstrate a broader perspective of innovative solutions of university students, mentors and potential opportunities for a triple helix approach to innovation for health supply chain system strengthening.

This original study provides evidence for advancing contribution to developing innovative solutions through partnerships between investors, universities and industry practitioners interested in mentoring students in the health-care supply chain during COVID-19 in LMICs. Specifically, contingency factors that affect the implementation of innovative programs during and beyond global pandemics such as COVID-19 by students’ innovators are identified, and implications for policy action are discussed based on the praxis of sensemaking.

This study examines a novel approach that combines internship, mentorship and hackathon projects for logistics and supply chain students in LMICs. The approach aims to bridge the gap between theory and practice and to create innovative solutions for essential medicines during and after COVID-19. The study urges more resources for supporting such programs, as they benefit both academia and industry. The study also argues that hackathon internship programs can help the logistics and supply chain industry adapt to the post-pandemic era. The study offers insights for investors, universities and practitioners in the health-care industry.

This study shows how to develop innovative solutions for the health-care supply chain during COVID-19 in an LMIC through partnerships between investors, universities and industry practitioners who mentor students. The study identifies the contingency factors that influence the success of such programs during and beyond global pandemics such as COVID-19 and discusses the policy implications based on the sensemaking praxis of the student innovators.

The anticipation of organizational change and the transition process often creates uncertainty for employees and can lead to stress and anxiety. It is therefore essential for all organizations, especially those that operate in high-demand working environments, to support the well-being of staff throughout the change process.

Research on how employees respond to the organizational change of relocating to a new work space is limited. To fill this gap in the research, we present a case study examining the well-being of clinical and health care employees before and after a disruptive change: relocation in workplace facilities. In addition, factors that enabled successful change in this high-stress, high-demand working environment were investigated. Interviews were conducted with 20 participants before the relocation and 11 participants after relocation. Following an inductive approach, data were analyzed using thematic analysis to identify key themes.

Our findings suggest that a supportive team, inclusive leadership and a psychologically safe environment, may buffer negative employee well-being outcomes during disruptive organizational change.

This research contributes to the literature on successful organizational change in health care by highlighting the resources which support well-being throughout the change process and enabling the successful transition to a new facility.

Leadership is an essential contributor to employee creative self-efficacy, and past research suggests a positive relationship between servant leadership and creative self-efficacy. However, the relationship is complex and contingent upon moderating variables, and this research examines the moderating effect of role clarity by drawing on social exchange theory and social cognitive theory.

Data collected from a survey among 116 emergency room employees is used to test the research model using moderated ordinary least squares regression.

The results confirm a positive relationship between servant leadership and creative self-efficacy and suggest a U-shaped relationship between role clarity and creative self-efficacy. Furthermore, role clarity positively moderates the relationship between servant leadership and creative self-efficacy.

The sample used for this research mainly consisted of highly educated employees within a specific setting. Future research is needed to study if the relationships found in this research can be generalized to other organizational settings.

This research suggests that leaders can support employees' creative self-efficacy through servant leadership, particularly when coupled with high role clarity.

Rapidly changing work environments are characterized by decreased role clarity, so attention is needed to its moderating role on the relationship between servant leadership and creative self-efficacy.

This study aims to discuss the numerical solutions of weakly singular Volterra and Fredholm integral equations, which are used to model the problems like heat conduction in engineering and the electrostatic potential theory, using the modified Lagrange polynomial interpolation technique combined with the biconjugate gradient stabilized method (BiCGSTAB). The framework for the existence of the unique solutions of the integral equations is provided in the context of the Banach contraction principle and Bielecki norm.

The authors have applied the modified Lagrange polynomial method to approximate the numerical solutions of the second kind of weakly singular Volterra and Fredholm integral equations.

Approaching the interpolation of the unknown function using the aforementioned method generates an algebraic system of equations that is solved by an appropriate classical technique. Furthermore, some theorems concerning the convergence of the method and error estimation are proved. Some numerical examples are provided which attest to the application, effectiveness and reliability of the method. Compared to the Fredholm integral equations of weakly singular type, the current technique works better for the Volterra integral equations of weakly singular type. Furthermore, illustrative examples and comparisons are provided to show the approach’s validity and practicality, which demonstrates that the present method works well in contrast to the referenced method. The computations were performed by MATLAB software.

The convergence of these methods is dependent on the smoothness of the solution, it is challenging to find the solution and approximate it computationally in various applications modelled by integral equations of non-smooth kernels. Traditional analytical techniques, such as projection methods, do not work well in these cases since the produced linear system is unconditioned and hard to address. Also, proving the convergence and estimating error might be difficult. They are frequently also expensive to implement.

There is a great need for fast, user-friendly numerical techniques for these types of equations. In addition, polynomials are the most frequently used mathematical tools because of their ease of expression, quick computation on modern computers and simple to define. As a result, they made substantial contributions for many years to the theories and analysis like approximation and numerical, respectively.

This work presents a useful method for handling weakly singular integral equations without involving any process of change of variables to eliminate the singularity of the solution.

To the best of the authors’ knowledge, the authors claim the originality and effectiveness of their work, highlighting its successful application in addressing weakly singular Volterra and Fredholm integral equations for the first time. Importantly, the approach acknowledges and preserves the possible singularity of the solution, a novel aspect yet to be explored by researchers in the field.

The aim of this study is to illuminate the perceptions of the essential factors for sustaining Learning Study of the curriculum leaders who have led Learning Study in schools over a sustained period.

This study adopted a case study research approach to explore the perspectives of the curriculum leaders regarding the sustainability of Learning Study. Data were collected through interviews, observations and document analysis. To analyse the data, thematic analysis was conducted to identify themes related to the research aim.

Four themes were deemed crucial by the curriculum leaders for sustaining Learning Study: (1) integrating Learning Study into the overall development plan of the school, with milestones recognisable by all stakeholders; (2) developing a shared understanding of and patience towards the different developmental needs of stakeholders; (3) developing a sustained programme of professional development for teachers regarding variation theory of learning, which underpins Learning Study; and (4) creating an improvement culture and a safe environment for sustaining professional development. We argue that Learning Study models should be flexible that they fit various school contexts while retaining the aim of enabling learning.

Sustaining Learning Study in schools becomes a challenge if support in the form of government funding and research involvement from tertiary institutions is withdrawn. This study is the first to voice the opinions of school curriculum leaders regarding this complex issue, who play a key role in initiating, implementing and sustaining Learning Study.