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This study aims to explore the role of rebel group legitimacy and ideology in durable peace (DP) following peace agreements to end civil wars. It builds on earlier research showing that justice and civil society involvement are critical in achieving DP. This study adds the impacts of rebel group activities and support on DP. Activities include service delivery and mobilization. Support is gauged with outcomes of presidential and parliamentary elections held following peace agreements.

Five data sets were used to measure the key variables: DP, inclusive commissions (IC), legitimacy symmetry (electoral outcomes), service delivery and ideological mobilization. A measure of rebel group integration in the political system was also constructed. Impacts of the integration, legitimacy and ideology variables were assessed with a hierarchical regression model (HRM). This study begins with a base model drawn from earlier research showing the key predictors were procedural justice (PJ) and IC. The authors ask about the extent to which the rebel group variables contribute additional variance to the prediction of DP.

The main contributors to the prediction of DP were PJ, IC and integration in the political system. None of the legitimacy or mobilization variables added significant variance to the prediction. Only one of the mobilization variables, forced recruitment, was significant. The decision to integrate into the political system following the agreement did not mediate the relationship between PJ in the negotiation process and DP. Results of a factor analysis showed that DP, PJ, IC and integration formed a cluster with strong loadings on the first factor.

The negative results for the legitimacy and mobilization variables may not be the last word on rebel group influences. Lack of support for the key hypotheses spurs attempts to discover other sources that contribute to the survival of rebel group actors in the political system and, in turn, to DP.

The issues raised by this study contribute to debates about ways to attain peaceful relations among competing groups following a civil war. It appears that attention to factors inside and around the negotiation process (PJ, ICs and conversion) may be more important than rebel group activities outside of these processes. The results call attention, in particular, to the important role played by political integration. From a policy perspective, it would be useful to develop levers for encouraging rebel groups to emerge as political actors in the post-agreement environment.

Developing measures of the symmetry of rebel group legitimacy and integration in the context of a comparative case study are the primary original contributions of this study. Furthermore, the mode of analysis (HRM) is novel in this literature. This approach builds on and extends the earlier research on factors influencing DP.

The chapter presents the implementation of ethics education via challenge-based learning (CBL) in three European settings. At TU Eindhoven (the Netherlands), a mandatory first-year User, Society, and Enterprise course on the ethics and history of technology offers a CBL alternative on ethics and data analytics in collaboration with internal student and research teams. The University of Lübeck (Germany) initiated the project CREATE – Challenge-based Learning for Robotics Students by Engaging Start-Ups in Technology Ethics, which enables 60 students in Robotics and Autonomous Systems to integrate ethical and societal considerations into technological development processes, in cooperation with start-ups from a local accelerator. In Spain, CBI-Fusion Point brings together 40 students from business and law (ESADE), engineering and technology (Polytechnic University of Catalonia), and design (IED Barcelona Design University) for an innovation course focused on the application of CERN-developed technologies to real-world problems. The chapter documents the process of setting up three CBL courses that engage students with grand societal topics which require the integration of ethical concerns from the design stage of technological development. The authors also reflect on the challenges of teaching ethics via CBL and the lessons they learned by delivering experiential learning activities rooted in real-life challenges and contexts marked by high epistemic uncertainty. The contribution reflects the transition to remote teaching and presents strategies employed to enhance online communication and collaboration. The chapter thus provides guidance for instructors interested in teaching ethics via CBL and recommends further lines for action and research.

Within the framework of potential efforts and strategies to employment generation for young people in Africa in general and Ethiopia in particular, the agricultural sector is increasingly considered as an important sector and a valuable means for poverty reduction, the promotion of economic development, and youth's economic independence. Renewed hope is placed on the sector to offer sustainable livelihood prospects for the rural youth. Yet, the success and sustainability of the sector require a proper understanding of how households allocate youth labor time in the sector and whether agricultural labor supply is responsive to economic incentives such as shadow wages. Using gender- and age-specific plot-level panel data, we systematically analyze the impacts of shadow wages of each household member on youth agricultural labor supply across types of farms. The results indicate that agricultural shadow wages matter for the youth's labor supply in the sector, but the impact differs for male and female youth. We also show that trends and patterns of youth labor supply vary across gender and whether they work on their own farm, and so do their labor returns. The results are consistent after controlling for individual heterogeneity and instrumenting for possible endogeneity. Taking into account the intensity of youth's actual involvement in the family farm, own farm or off-farm work instead of their stated intentions, the results challenge the presumption that youth are abandoning agriculture, at least in agricultural potential areas of Ethiopia. Instead, the frequent narrative of youth disengaging from agriculture may be a result of methodological flaws or data limitations. The findings suggest that it is necessary to invest in agricultural development to enhance labor productivity and employability of young people in agriculture.

Migration is an increasing challenge faced by countries, institutions and individuals both for sending and host countries. The integration of migrants is a multidimensional issue, including several areas, for example, social, cultural, economic, legal and politics. These dimensions can strengthen each other in equal areas, but the economic and social dimensions seem to be the most important regarding immigrant inclusion in the society of the country of settlement.

In a macro perspective, there have been few national models of integrating migrants which are culturally and historically specific in various European countries, but the current approach is focussing on interculturalism.

Considering migrant integration in a meso perspective, one may point to the growing importance of multilevel governance engaging many actors in this process (e.g., municipalities, cities, nongovernmental organizations, SMEs, corporations, churches, etc.), which are partners for national-level policymakers.

The individual effort for successful integration of migrants depends on the host country nationals' attitude, openness and tolerance as well as on incoming foreigners.

This study aims to identify the efficiency scores of hospitals affiliated to the Ministry of Health in Turkey between the years of 2010–2015 at provincial level and to reveal the factors that affect the efficiency scores.

The two-stage data envelopment analysis (DEA) method was used to achieve the study purpose. In the first stage, DEA method based on input-oriented Charnes–Cooper–Rhodes (CCR) model was performed to calculate the efficiency scores of public hospitals at the provincial level between 2010 and 2015, and in the second stage, Tobit regression and linear regression analyses were used to identify whether the efficiency scores of provinces are affected by the input, output and control variables.

Upon the analysis, the average efficiency scores of 81 provinces by years were found to vary between 0.79 and 0.89. According to both regression analyses, all of the input and output variables were found to have significant effects on the efficiency scores of provinces while only the population of province among the control variables was identified as the factor with an effect on the efficiency scores of provinces (p < 0.05).

The results of this study are thought to guide health policymakers and managers in terms of both determining efficient and inefficient hospitals at the provincial level and revealing which variables should be taken into account in order to increase efficiency.

The study differs from previous studies on the efficiency of hospitals. First, although previous studies were generally descriptive studies to determine the efficiency level of hospitals, this study is an analytical study that tries also to show the factors affecting the efficiency of hospitals. In addition, while examining the effect of input and output variables on efficiency scores, control variables were also included in the study.

The purpose of this paper is to describe a methodology to deal with conformance checking through the implementation of computer-interpretable-clinical guidelines (CIGs), and present an application of the methodology to real-world data and a clinical pathway for radiotherapy-related oncological treatment.

This methodology is implemented by a software able to use the hospital electronic health record data to assess the adherence of the actual executed clinical processes to a clinical pathway, monitoring at the same time management-related efficiency and performance parameters, and ideally, suggesting ways to improve them.

Three use cases are presented, in which the results of conformance checking are used to compare different branches of the executed guidelines with respect to the adherence to ideal process, temporal distribution of state-to-state transitions, and overall treatment efficacy, in order to extract data-driven evidence that could be of interest for the hospital management.

This approach has the result of applying management-oriented data mining technique on sequential data, typical of process mining, to the result of a conformity check between the preliminary knowledge defined by clinicians and the real-world data, typical of CIGs.

The purpose of this paper is to investigate the relationship between capital structure and business process management (BPM) within ambidextrous firms. In particular, referring to the listed companies in the Mercato Telematico Azionario (MTA) and Mercato degli Investment Vehicles (MIV) markets with large- and mid-sized capitalization, divided into ambidextrous and non-ambidextrous companies, the authors examined the capital structure to fill a gap in the current literature.

This study uses a mixed-method sequential exploratory design. In particular, a qualitative study was conducted to identify some Italian-listed companies, called ambidextrous firms, which have implemented incremental (exploitative) and radical (explorative) innovations in an ambidexterity perspective of process management. A quantitative study was designed to provide insights into the different degrees of leverage of the listed companies selected by the qualitative analysis.

The research is based on an empirical analysis undertaken with 69 companies listed on Italian markets (starting from the MTA and MIV Italy 100 – large- and mid-sized capitalization). In particular, the authors highlight 11 companies that, based on the literature, can be defined as ambidextrous organizations. These firms, in each year analyzed (2014, 2015, and 2016), have more leverage than non-ambidextrous ones. Considering that firms today need to constantly revisit their portfolio of debt and equity, ambidextrous organizations could evaluate the largest debt available in order to implement new BPM tools.

To the authors’ knowledge, this is the first exploratory study based on capital structure and the simultaneous exploration and exploitation of knowledge (ambidexterity) that also is informed by a BPM perspective. The paper presents evidence from Italian-listed companies that are referred to as ambidextrous and have different degrees of leverage.

No current psychotherapeutic intervention is designed to enhance job retention in employees with moderate–severe recurrent depression. The aim of this study is to test the feasibility of a new, interdisciplinary work-focused relational group cognitive behavioural therapy (CBT) treatment programme for moderate–severe depression.

The programme was based on a theoretical integration of occupational stress, psychological, social/interpersonal and bio-medical theories. It consisted of up to four 1:1 psychotherapy sessions; 12 work-focused, full-day, weekly CBT sessions facilitated by a cognitive behavioural therapist and occupational therapist; and up to four optional 1:1 sessions with an occupational therapist. Depression severity (primary outcome) and a range of secondary outcomes were assessed before (first CBT session) and after (twelfth CBT session) therapy using validated instruments.

Eight women (26–49 years) with moderate–severe depression participated. Five were on antidepressant medication. While there was no statistically significant change in Hamilton Depression Rating Scale depression scores after therapy (n = 5; p = 0.313), Beck Depression Inventory-II depression scores significantly decreased after therapy (n = 8; –20.0 median change, p = 0.016; 6/8 responses, 7/8 minimal clinically important differences, two remissions). There were significant improvements in the secondary outcomes of overall psychological distress, coping self-efficacy, health-related quality of life and interpersonal difficulties after therapy. All clients in work at the start of therapy remained in work at the end of therapy. The intervention was safe and had 100% retention.

A major limitation was recruitment shortfall, resulting in a small sample of middle-aged women, which reduces representativeness and increases the possibility of methodological weaknesses in terms of the statistical analysis. A definitive trial would need much larger samples to improve statistical power and increase confidence in the findings. Another major limitation was that two of the authors were involved in delivering the intervention such that its generalisability is uncertain.

This novel programme was evaluated and implemented in the real world of clinical practice. It showed promising immediate positive outcomes in terms of depressive symptoms, interpersonal difficulties and job retention that warrant further exploration in a longer-term definitive study.

Empirical studies focused on enhancing job retention in employees with moderate–severe recurrent depression are lacking, so this study was highly relevant to a potentially marginalised community.

While limited by a recruitment shortfall, missing data and client heterogeneity, this study showed promising immediate positive outcomes for the new programme in terms of depressive symptoms, interpersonal difficulties and job retention that warrant exploration in a definitive study.

The literature on household behavior contains hardly any empirical research on the within-household distributional effects of tax-benefit policies. We simulate this effect in the framework of a collective model of labor supply when shifting from a joint to an individual taxation system in France. We show that the net-of-tax relative earning potential of the wife is a significant determinant of intrahousehold negotiation but with very low elasticity. Consequently, the labor supply responses to the reform are essentially driven by the traditional substitution and income effects as in a unitary model. For some households only, the reform alters the intrahousehold distribution in a way that tends to change normative conclusions. A sensitivity analysis shows that the distributional effects captured by the collective model would be significant only for reforms both radical and of extended scope.

Knowledge and its management and, more recently, strategic knowledge management (SKM) represent major challenges for the organisations of the 21st century. Despite the importance of this knowledge field, and the significant quantity of research that has focussed on this theme, there is a dearth of studies in the literature undertaking a systematic SKM review. This study aims to provide a currently complete and systematic SKM review to stimulate and contribute to furthering this academic field and correspondingly set out an agenda for future research.

This paper sourced the data from the science citation index expanded (SCI-expanded), the social sciences citation index (SSCI) and the arts and humanities citation index (A&H CI) databases. This research spanned references published in journals belonging to the categories of management, business and economics without any chronological filter. The search returned a total of 99 references with their dates of publication between 1995 (1 reference) and 2018 (7 references).

The results included the identification of three core approaches to this study field: SKM models and competitive advantage, SKM implementation and the Systematic SKM approach.

This current study seeks to undertake the mapping of the scientific publications, the intellectual structure and research trends in the SKM field to: identify the fundamental contributions to the SKM research field; determine the research pathways establishing its intellectual structure and the scientific journals with the greatest impact on the field and identify the SKM research field geographical distribution and its collaborative structure.

This study defines a roadmap for an informed research agenda that proposes multiple directions: the usage and development of an innovative theory that may open new paths for future research and theoretical construction; a more sophisticated understanding of the concept and its applicability; approaching the shortcomings interrelated with the content across different levels of analysis; and the application of relevant and appropriate methodologies for operationalizing SKM.