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The purpose of this study is to analyse how academic staff cope with the new culture of performance measurement and assessment in universities. In particular, the study aims to shed light on how external pressures related to measurement of research performance are translated into organisational and individual academic responses within the university and the extent to which these responses are related specifically to the operational features of performance measurement systems (PMS).

The study is based on a case study conducted in an Italian public university and based on interviews with a cross-disciplinary sample of faculty members.

The study provides insights into how linking financial incentives and career progression to research performance metrics at the system and organisational levels may have important reorientation effects on individual behaviours and epistemic consequences for the academic work.

The study is based on interviews, so one limitation is related to the risk of researcher and interviewee personal bias. Moreover, this study is focused on one single case of a specific university setting, which cannot be fully representative of the experiences of others.

The study contributes to the literature on management accounting by exploring the factors that might explain why the unintended effects of PMS on academics’ behaviour reported by several studies might occur. From a practitioner’s point of view, it shows features of PMS that may produce unintended effects on academic activities. It also highlights the need to rethink PMS for the evaluation of university performance through the involvement of different stakeholders.

Brain Fag Syndrome (BFS) is a psychiatric disorder associated with study affecting two to four out of every ten African students. One of the consequences of this illness is early fore-closure of education in affected students. Etiological factors such as nervous predisposition, motivation for achievement, and psycho-stimulant use have been found associated with it. However, the contributions of study habits to the pathogenesis of this study-related illness deserve more attention than has been given. We carried out this cross-sectional study to ascertain the types of study habits associated with BFS among a sample of senior secondary school students in Ile-Ife, Nigeria. Five hundred students from six schools in Ile-Ife were selected using a stratified random sampling technique. The selected students completed the Socio-demographic Data Schedule, the Brain Fag Syndrome Scale, and Bakare's Study Habit Inventory. The prevalence of BFS was 40.2% (201). There were no significant socio-demographic variables identifying BFS students apart from those without BFS. The significant measures of study habits that predicted BFS were homework and assignments, examinations, and written work. Those with BFS had 3.58 times the odds to perform poorly on homework and assignments, 3.27 times the odds to perform poorly on examinations, and 1.01 times the odds to perform poorly on written work compared to those without BFS. We concluded that the results of this study suggest that homework and assignments, examinations, and written work were significant study habit variables associated with BFS.

This study aims to deepen the understanding of the challenges and implications entailed by deploying mobile clinics in conflict zones to reach populations affected by violence and cut off from health-care services.

This research combines an integrated literature review and an instrumental case study. The literature review comprises two targeted reviews to provide insights: one on conflict zones and one on mobile clinics. The case study describes the process and challenges faced throughout a mobile clinic deployment during and after the Iraq War. The data was gathered using mixed methods over a two-year period (2017–2018).

Armed conflicts directly impact the populations’ health and access to health care. Mobile clinic deployments are often used and recommended to provide health-care access to vulnerable populations cut off from health-care services. However, there is a dearth of peer-reviewed literature documenting decision support tools for mobile clinic deployments.

This study highlights the gaps in the literature and provides direction for future research to support the development of valuable insights and decision support tools for practitioners.

Temporal consumption experiences have been conceptualised as universal, subjective or practice-based experiences. Little research, though, addresses such experiences in conjunction with the repeated and situational consumption events that bring them about. The purpose of this paper is to extend current knowledge by examining how the temporal and situational intertwine during consumption events. For this purpose, the concept of a consumption timecycle based on the research data is constructed.

The paper takes a longitudinal and researcher-led approach to study temporal consumption experiences. The data was collected through participant observations, video recordings and personal subjective introspections during three consecutive annual Nordic motorcycle consumer trade shows (2014–2016). The data was analysed using an interpretive approach.

The results demonstrate five temporalities that characterise a consumption timecycle as follows: emerging, core, intensifying, fading and idle-time temporalities. The features of these temporal experiences are presented in the conclusions section of the paper.

Recalled temporal experiences are mediated experiences and they differ from lived experiences. The transferability or generalisability of the results might be limited, as the case is situated in the Nordic context.

The paper presents the novel concept of a consumption timecycle that extends current debates about consumer time. The consumption timecycle is contrasted with established temporal concepts in consumer and marketing research.

User-oriented care, defined as individualized assisting behaviors, is the dominant approach within elderly care today. Yet, there is little known about its conceptual structure. This paper proposes that user-oriented care has a bi-partite structure which may be decomposed into the two dimensions of task and relation.

Care workers were “shadowed” (i.e. observed) at their work (n=391 rated interactions). User-oriented care was assessed along ten process quality indicators targeting the acts of caregiving (i.e. task focus, relation focus, involvement, time-use, body language, autonomy, respect, warmth, encouragement, and information) in two elderly care settings, i.e. home care and nursing home. Observations added up to 45 hours.

Principal component analyses confirmed the proposed two-factor structure of user-oriented care. Specifically, the user-oriented care indicators loaded on two distinct factors, i.e. task and relation. The underlying structure of user-oriented care revealed to be invariant across the two settings. However, the results revealed interesting structural differences in terms of explained variance and the magnitude of factor loadings in the home care and nursing home settings. Differences also emerged specifically pertaining to the indicators of autonomy and time-use. These findings suggest that user-oriented behavior may to some extent denote different acts of caregiving and what may be called task- and relation-orientation may be loaded with different meanings in these two care settings.

This is the first study investigating user-oriented behavior in the context of elderly care using a quantitative observational approach. The authors propose that the observed differences between the two care settings are primarily not due to better elderly care work in home care, but due to some inherent differences between these two contexts of care (e.g. better health and living at home).

This paper explores digital transformation's impact on the work of owners in entrepreneurial firms. The interplay between working practices and technology is analyzed, taking into account the organizations' specific contexts.

A multiple case study design was applied. Eight cases of entrepreneurial firms, defined as companies that bring new products and services to the market by creating and seizing opportunities, were selected, with the goal to maximize the diversity of cases. The sample includes both small- and medium-sized firms, as well as high- tech and low- tech companies in equal number. Interviews have been used to collect both quantitative and qualitative data, which was analyzed in a structured way.

The digital transformation of entrepreneurial work, that is the daily work of entrepreneurs, is an evolutionary, practice-based phenomenon, rather than the result of rational design. The use of different digital tools is interrelated and depends on the characteristics, and dynamics of the surrounding environment.

The findings of this study are relevant to entrepreneurs interested in understanding the dynamics of their working practice, to software development firms interested in entrepreneurs as customers and to institutions interested in the education of entrepreneurs.

To the best of the authors' knowledge this is the first study which considers the interplay between digital technology and the daily activities of entrepreneurs, considered as a whole. It provides insights on how these interconnected dimensions evolve, thus contributing to understanding the work of entrepreneurs, and as a consequence the dynamics of entrepreneurial firms in the context of digital transformation of organizations.

This paper aims to address the long-standing problem of suboptimal student team experiences for instructors and students by incorporating the student voice by co-creating a virtual team collaborative environment to improve team collaboration in the online classroom.

This paper presents a novel design science research approach and relates two elaborated action design science research (eADSR) cycles that design, implement and evaluate the student team experience in online courses requiring teamwork.

The outcome is a holistic view of a virtual team classroom environment specified with technologies and practices that may be employed to optimize the student team experience. The eADSR process yields non-obvious diagnoses and actionable steps for continually incorporating the ever-changing social aspects unique to students in addition to the evolving technological landscape.

This paper is valuable to faculty members interested in applying eADSR processes to incorporate the student voice to address pedagogical and learning challenges in the classroom. Additionally, it provides a DSR-based model that can be implemented in the classroom to improve student team collaboration as well as transparency for the instructor and the students in terms of team member contributions with the goal to alleviate student and faculty frustrations. This topic is particularly relevant in light of COVID-19 as students and faculty alike are thrust into new online classroom environments.

Employing eADSR in the classroom is a novel and unique approach to create a replicable model for virtual team collaboration that can be added to the classroom.

Disaster management and humanitarian logistics (HT) play crucial roles in large-scale events such as earthquakes, floods, hurricanes and tsunamis. Well-organized disaster response is crucial for effectively managing medical centres, staff allocation and casualty distribution during emergencies. To address this issue, this study aims to introduce a multi-objective stochastic programming model to enhance disaster preparedness and response, focusing on the critical first 72 h after earthquakes. The purpose is to optimize the allocation of resources, temporary medical centres and medical staff to save lives effectively.

This study uses stochastic programming-based dynamic modelling and a discrete-time Markov Chain to address uncertainty. The model considers potential road and hospital damage and distance limits and introduces an a-reliability level for untreated casualties. It divides the initial 72 h into four periods to capture earthquake dynamics.

Using a real case study in Istanbul’s Kartal district, the model’s effectiveness is demonstrated for earthquake scenarios. Key insights include optimal medical centre locations, required capacities, necessary medical staff and casualty allocation strategies, all vital for efficient disaster response within the critical first 72 h.

This study innovates by integrating stochastic programming and dynamic modelling to tackle post-disaster medical response. The use of a Markov Chain for uncertain health conditions and focus on the immediate aftermath of earthquakes offer practical value. By optimizing resource allocation amid uncertainties, the study contributes significantly to disaster management and HT research.

This study attempts to conduct a comparative analysis between dynamic and static asset allocation to achieve the long-term target return on asset liability management (ALM). This study conducts asset allocation using the ex ante expected rate of return through the outlook of future economic indicators because past economic indicators or realized rate of returns which are used as input data for expected rate of returns in the “building block” method, most adopted by domestic pension funds, does not fully reflect the future economic situation. Vector autoregression is used to estimate and forecast long-term interest rates. Furthermore, it is applied to gross domestic product and consumer price index estimation because it is widely used in financial time series data. Based on asset allocation simulations, this study derived the following insights: first, economic indicator filtering and upper-lower bound computation is needed to reduce the expected return volatility. Second, to reach the ALM goal, more stocks should be allocated than low-yielding assets. Finally, dynamic asset allocation which has been mirroring economic changes actively has a higher annual yield and risk-adjusted return than static asset allocation.

This paper analyzes how the distribution and structure of employees' attention influence idea survival in an organizational internal crowdsourcing session.

Data from an online internal crowdsourcing session carried out within a multinational company with headquarters in Sweden were used to explore how idea attention influenced idea survival.

Our findings indicate that the positive relationship between attention allocation and idea survival is mediated by idea appreciation, i.e. positive comments and suggestions that employees provide in response to ideas. In addition, we find that competition for attention negatively moderates the relationship between idea attention and positive comments. Finally, our results indicate that ideas are more likely to survive if they are submitted earlier in the crowdsourcing process and when the elapsed time since previously posted ideas in the session is longer.

This study provides organizers of internal crowdsourcing sessions with new insights about factors influencing idea survival and about potential systematic biases in idea selection due to timing and competition between ideas.

This paper contributes to the literature highlighting the relevance of attention-based theory in the context of crowd-based creativity and innovation management.