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The paper aims to investigate the dynamics of individuals' multiple commitments in the internship context by answering two questions: How do interns' commitment to different stakeholders change over time? And what are the reasons behind these changes?

A qualitative longitudinal study was conducted of a hundred and three interviews with twenty interns in three professional service firms in the UK. The data were gathered via semi-structured interviews that took place on five occasions during the whole internship.

Individuals' decision to maintain or change their commitment depended on their motive to gain long-term benefits (future employment) or short-term benefits (completing an assignment). Therefore, they experienced different types of commitment dynamics, which were influenced by their intention to commit to the organization in the future.

This offers significant implications for attracting and employing interns, which directly affects talent employment. It also contributes to the contemporary work context, as the rise of temporary and cross-boundary settings would increase the complexity and dynamics of commitment.

Despite the predominant assumption that considers commitment as a stable bond, this research is one of the first to investigate the dynamics of multiple commitments. This contributes to the commitment theory by identifying the different types of commitment dynamics and the impact of individuals' intention to commit on the (in)stability of their commitment, which is absent from the existing literature.

Given the implementation of a new Certified Public Accountant (CPA) licensure exam and the CPA Evolution Model Curriculum, accounting educators must integrate more advanced skills in their coursework. We illustrate how a commonly-used project in accounting classes, which teaches technical accounting content, can address skills and competencies identified by the Pathways Commission and the American Institute of Certified Public Accountants (AICPA) and, as a result, enhance skills all business school graduates need in the workplace.

We incorporate a financial statement analysis research project under a group work format in three levels of financial accounting classes. Using both quantitative and qualitative analysis, we evaluate changes in student perceptions of skills and competencies important for business graduates.

We find students perceive improvement in critical thinking, problem-solving, the ability to work with other people, their understanding of the course material, and data analysis abilities after completion of the project. We also find statistically significant increases pre-to post-project in student perceptions of their knowledge, confidence, competence, and enthusiasm with respect to accounting material.

We provide an example of how educators can align a commonly-used project with the CPA Evolution Model Curriculum, yet still meet the needs of non-accounting majors and prepare all students for future business careers. Group work has been studied and similar financial statement analysis projects have been implemented in the classroom for years. We contribute by not only extending and updating this research, but also by re-evaluating a project to determine whether it meets the shifting needs of a rapidly changing profession. By doing so, we answer recent researchers’ call for research in higher education that addresses employability and workplace skills.

The paper provides a detailed historical account of Douglass C. North's early intellectual contributions and analytical developments in pursuing a Grand Theory for why some countries are rich and others poor.

The author approaches the discussion using a theoretical and historical reconstruction based on published and unpublished materials.

The systematic, continuous and profound attempt to answer the Smithian social coordination problem shaped North's journey from being a young serious Marxist to becoming one of the founders of New Institutional Economics. In the process, he was converted in the early 1950s into a rigid neoclassical economist, being one of the leaders in promoting New Economic History. The success of the cliometric revolution exposed the frailties of the movement itself, namely, the limitations of neoclassical economic theory to explain economic growth and social change. Incorporating transaction costs, the institutional framework in which property rights and contracts are measured, defined and enforced assumes a prominent role in explaining economic performance.

In the early 1970s, North adopted a naive theory of institutions and property rights still grounded in neoclassical assumptions. Institutional and organizational analysis is modeled as a social maximizing efficient equilibrium outcome. However, the increasing tension between the neoclassical theoretical apparatus and its failure to account for contrasting political and institutional structures, diverging economic paths and social change propelled the modification of its assumptions and progressive conceptual innovation. In the later 1970s and early 1980s, North abandoned the efficiency view and gradually became more critical of the objective rationality postulate. In this intellectual movement, North's avant-garde research program contributed significantly to the creation of New Institutional Economics.

The purpose of this paper is to report on a study into the lived experience of skin picking disorder (SPD) and to explore the psychological impact of the disorder.

Researchers employed a qualitative phenomenological approach, using Interpretative phenomenological analysis (IPA).

The study found that the sense of shame, common among participants, led to self-stigma, hiding, concealing and avoidance. Shame of SPD also interplayed with and compounded the shame of loneliness.

Limitations included a lack of a longitudinal component to the work. This is deemed important, as both the SPD and the experience of loneliness can shift over time as circumstances change, and individuals develop strategies for coping or, conversely, experience a worsening of the condition and the shame, loneliness and social isolation it can induce.

This study draws attention to the complex nature of both SPD and loneliness. It highlights how those living with the disorder are reluctant to seek help, resulting in low rates of treatment access and distrust in health providers.

As SPD is little understood, it can be erroneously deemed a “choice”; seldom discussed as a condition, it can lead to exclusion and withdrawal. The sense of shame of both appearance and behaviour interplays with and compounds the shame of loneliness and can force the individual into a further cycle of withdrawal and isolation.

While research suggests SPD should be acknowledged as a public health issue, research and literature is still relatively limited, and there are no qualitative phenomenological studies as yet that report on the lived experience of SPD.

With more cities aiming to achieve climate neutrality, identifying the funding to support these plans is essential. The purpose of this paper is to exploit the present of a structured green bonds framework in Sweden to investigate the typology of abatement projects Swedish municipalities invested in and understand their effectiveness.

Marginal abatement cost curves of the green bond measures are constructed by using the financial and abatement data provided by municipalities on an annual basis.

The results highlight the economic competitiveness of clean energy production, measured in abatement potential per unit of currency, even when compared to other emerging technologies that have attracted the interest of policymakers. A comparison with previous studies on the cost efficiency of carbon capture storage reveals that clean energy projects, especially wind energy production, can contribute to the reduction of emissions in a more efficient way. The Swedish carbon tax is a good incentive tool for investments in clean energy projects.

The improvement concerning previous applications is twofold: the authors expand the financial considerations to include the whole life-cycle costs, and the authors consider all the greenhouse gases. This research constitutes a prime in using financial and environmental data produced by local governments to assess the effectiveness of their environmental measures.

This study analyses the organizational consequences of work–family conflict (WFC) among female nurses in health care sector. Moreover, this study focuses on the moderating effect of intrinsic motivation on the association between WFC dimensions with different organizational outcomes.

Data are collected from 347 female nurses working in health care sector at Islamabad, Rawalpindi, Lahore, Multan and Bahawalpur regions of Pakistan, using random sampling technique. Regression analysis is used to test the hypotheses of this study.

The findings demonstrate that WFC conflict lowers job satisfaction, affective commitment and organizational citizenship behaviour. Contrary, WFC reduces job satisfaction, affective commitment and organizational citizenship behaviour and increases turnover intentions among female nurses. Moreover, intrinsic motivation moderates the association between WFC and certain organizational outcomes.

The study offers valuable insights for female nurses at health care sector about WFC and finally leads to theoretical contributions and practical implications for the healthcare sector of Pakistan.

The purpose of this study is to explore the association between select human resource management practices and employee performance in academic libraries in India.

The current study uses the quantitative method of research. Partial least squares-structural equation modelling (PLS-SEM) was used to analyse the results. The current study uses a cross-sectional approach by using a convenient sampling method. The sample size of the study was 163, which was adequate for conducting PLS-SEM analysis.

The study found a significant positive correlation between human resource management practices and employee performance in academic libraries. This suggests that the implementation of effective human resource management practices has a beneficial impact on various aspects of employee performance.

The study’s cross-sectional design may limit the ability to establish causality or determine the direction of the relationship between human resource management practices and employee performance. The study may have limitations regarding the sample size and its representativeness. If the sample is small or limited to specific academic libraries in India, it may not be possible to generalise the findings to a broader population of academic libraries in the country or to libraries in other regions or countries.

The study has practical implications for academic libraries in India. By recognising the significant correlation between human resource management practices and employee performance, libraries can prioritise the implementation of effective human resource management strategies. This includes aligning human resources practices with organisational goals, focusing on employee development and engagement and adopting best practices in recruitment, training and performance management.

This study can have broader social implications by promoting a supportive and productive work culture that positively impacts the academic library community.

The paper focuses on a quite important and largely unexplored area of human resource management within the academic libraries sector.

The empirical study aims to examine the impact of board diversity with respect to gender and nationality on firm performance in an emerging economy. This research further splits the sample into family and non-family domains and investigates the diversity–performance nexus in isolation.

The sample consists of 183 listed companies in Bangladesh over the period 2007 to 2017. This study employed the generalised method of moments (GMM) technique to address the possible endogeneity issue in the governance–performance connection. To underscore the strength of diversity, three distinctive assessment measures were used: percentage representation of females and foreign directors, the Blau index and the Shannon index.

The results for the full sample models reveal that board heterogeneity regarding both female and foreign directors positively and significantly influences firm performance as measured by return on assets (ROA). Further to this, female directors in family-owned businesses have a positive association with profitability, whereas foreign nationals demonstrate a significant positive association with performance in non-family firms. Additionally, at least three women directors are needed to make a positive difference in profitability; however, a sole director with foreign nationality is capable of demonstrating a similar impact on performance.

The findings are significant for policymakers and organisations that advocate diversity on corporate boards of directors, and the minimum number of diverse board members needs to be considered depending on the identity to bring about a significant change in organisational outcome. Therefore, the findings of this study may be applied to other emerging economies with similar institutional characteristics.

This study reinforces the existing stock of knowledge on the impact of board diversity on the profitability of firms, especially in the context of an emerging economy – Bangladesh. Irrespective of the given backdrop, this study finds that both gender and nationality diversity in the case of Bangladesh is found to have a positive and significant effect on financial performance with respect to all the diversity metrics, i.e. the proportionate number of female and foreign directors on the boards, the Blau index and the Shannon index.

The study aims to look at the link between horizontal violence (HV) and organizational culture aspects. Bullying and hostility including intergroup conflict are referred to as HV. HV is a significant issue that is encountered in various professions. The different cultural typologies of group, developmental, hierarchical and rational culture have been addressed in this study. Additionally, it is identified that the prevalence of HV in organizations with different cultural dimensions.

Using a non-probability multistage sampling strategy, a quantitative method was used and questionnaires were circulated to collect data from the information technology sector. The data were analyzed using multiple regression analysis.

The findings demonstrated that HV has a positive and substantial association with the group and developmental culture, whereas HV has a negative link with hierarchical and rational culture.

These results provide a valuable tool for human resource managers and policymakers in promoting a healthy work environment and employee interpersonal collaboration, which will improve the organization’s overall performance.

This study is a novel work exploring the HV among employees in technological firms, and also combining the concepts of HV and organizational culture and also assists future researchers in many folds.

A novel method has been proposed to reduce the false alarm rate of arrhythmia patients regarding life-threatening conditions in the intensive care unit. In this purpose, the atrial blood pressure, photoplethysmogram (PLETH), electrocardiogram (ECG) and respiratory (RESP) signals are considered as input signals.

Three machine learning approaches feed-forward artificial neural network (ANN), ensemble learning method and k-nearest neighbors searching methods are used to detect the false alarm. The proposed method has been implemented using Arduino and MATLAB/SIMULINK for real-time ICU-arrhythmia patients' monitoring data.

The proposed method detects the false alarm with an accuracy of 99.4 per cent during asystole, 100 per cent during ventricular flutter, 98.5 per cent during ventricular tachycardia, 99.6 per cent during bradycardia and 100 per cent during tachycardia. The proposed framework is adaptive in many scenarios, easy to implement, computationally friendly and highly accurate and robust with overfitting issue.

As ECG signals consisting with PQRST wave, any deviation from the normal pattern may signify some alarming conditions. These deviations can be utilized as input to classifiers for the detection of false alarms; hence, there is no need for other feature extraction techniques. Feed-forward ANN with the Lavenberg–Marquardt algorithm has shown higher rate of convergence than other neural network algorithms which helps provide better accuracy with no overfitting.