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Despite the continuation of hospital mergers in many western countries, it is uncertain if and how hospital mergers impact the quality of care. This poses challenges for the regulation of mergers. The purpose of this paper is to understand: how regulators and hospitals frame the impact of merging on the quality and safety of care and how hospital mergers might be regulated, given their uncertain impact on quality and safety of care.

This paper studies the regulation of hospital mergers in The Netherlands. In a qualitative study design, it draws on 30 semi-structured interviews with inspectors from the Dutch Health and Youth Care Inspectorate (Inspectorate) and respondents from three hospitals that merged between 2013 and 2015. This paper draws from literature on process-based regulation to understand how regulators can monitor hospital mergers.

This paper finds that inspectors and hospital respondents frame the process of merging as potentially disruptive to daily care practices. While inspectors emphasise the dangers of merging, hospital respondents report how merging stimulated them to reflect on their care practices and how it afforded learning between hospitals. Although the Inspectorate considers mergers a risk to quality of care, their regulatory practices are hesitant.

This qualitative study sheds light on how merging might affect key hospital processes and daily care practices. It offers opportunities for the regulation of hospital mergers that acknowledges rather than aims to dispel the uncertain and potentially ambiguous impact of mergers on quality and safety of care.

Several online services offer functionalities to access information from “big research graphs” (e.g. Google Scholar, OpenAIRE, Microsoft Academic Graph), which correlate scholarly/scientific communication entities such as publications, authors, datasets, organizations, projects, funders, etc. Depending on the target users, access can vary from search and browse content to the consumption of statistics for monitoring and provision of feedback. Such graphs are populated over time as aggregations of multiple sources and therefore suffer from major entity-duplication problems. Although deduplication of graphs is a known and actual problem, existing solutions are dedicated to specific scenarios, operate on flat collections, local topology-drive challenges and cannot therefore be re-used in other contexts.

This work presents GDup, an integrated, scalable, general-purpose system that can be customized to address deduplication over arbitrary large information graphs. The paper presents its high-level architecture, its implementation as a service used within the OpenAIRE infrastructure system and reports numbers of real-case experiments.

GDup provides the functionalities required to deliver a fully-fledged entity deduplication workflow over a generic input graph. The system offers out-of-the-box Ground Truth management, acquisition of feedback from data curators and algorithms for identifying and merging duplicates, to obtain an output disambiguated graph.

To our knowledge GDup is the only system in the literature that offers an integrated and general-purpose solution for the deduplication graphs, while targeting big data scalability issues. GDup is today one of the key modules of the OpenAIRE infrastructure production system, which monitors Open Science trends on behalf of the European Commission, National funders and institutions.

In federated search, a query is sent simultaneously to multiple resources and each one of them returns a list of results. These lists are merged into a single list using the results merging process. In this work, the authors apply machine learning methods for results merging in federated patent search. Even though several methods for results merging have been developed, none of them were tested on patent data nor considered several machine learning models. Thus, the authors experiment with state-of-the-art methods using patent data and they propose two new methods for results merging that use machine learning models.

The methods are based on a centralized index containing samples of documents from all the remote resources, and they implement machine learning models to estimate comparable scores for the documents retrieved by different resources. The authors examine the new methods in cooperative and uncooperative settings where document scores from the remote search engines are available and not, respectively. In uncooperative environments, they propose two methods for assigning document scores.

The effectiveness of the new results merging methods was measured against state-of-the-art models and found to be superior to them in many cases with significant improvements. The random forest model achieves the best results in comparison to all other models and presents new insights for the results merging problem.

In this article the authors prove that machine learning models can substitute other standard methods and models that used for results merging for many years. Our methods outperformed state-of-the-art estimation methods for results merging, and they proved that they are more effective for federated patent search.

This paper aims to explore the dynamics of value co-creation in the context of health care logistics by focusing on the change in the value creation spheres of a logistics service provider and its customer organization.

The development of value co-creation between the two organizations was researched through a qualitative case study that focuses on a situation wherein the hospital’s central warehouse was moved to a more distant location. Data consist of the interviews and focus group discussions of both nursing staff and logistics managers before and after the change. The empirical results are reflected to service and value co-creation literature as well as to existing knowledge about health care logistics.

The new situation compelled the counterparts to plan more structured logistics service procedures, as there was no longer any possibility for nursing staff to pick up urgently needed items from the central warehouse. This strengthened the role of the joint value creation sphere and made it more visible during the change.

The study contributes to the evolving research on health care logistics and connects it to timely service value discussion. This paper proposes that as the physical distance of service facilities increases, the joint co-creation sphere, interestingly, gets widened during the change.

Managerially, the study provides implications for how to develop health-care material logistics to provide more value for both the logistics service providers and their customers.

Understanding value co-creation in health care logistics services supports care organizations in developing their processes toward better care for the patients. Thus, health care logistics research facilitates societies and health-care systems to reach their goals in terms of better service and lower costs.

This study presents an up-to-date example of value co-creation in the scarcely researched context of health care logistics.

On-ramp merging areas are typical bottlenecks in the freeway network since merging on-ramp vehicles may cause intensive disturbances on the mainline traffic flow and lead to various negative impacts on traffic efficiency and safety. The connected and autonomous vehicles (CAVs), with their capabilities of real-time communication and precise motion control, hold a great potential to facilitate ramp merging operation through enhanced coordination strategies. This paper aims to present a comprehensive review of the existing ramp merging strategies leveraging CAVs, focusing on the latest trends and developments in the research field.

The review comprehensively covers 44 papers recently published in leading transportation journals. Based on the application context, control strategies are categorized into three categories: merging into sing-lane freeways with total CAVs, merging into sing-lane freeways with mixed traffic flows and merging into multilane freeways.

Relevant literature is reviewed regarding the required technologies, control decision level, applied methods and impacts on traffic performance. More importantly, the authors identify the existing research gaps and provide insightful discussions on the potential and promising directions for future research based on the review, which facilitates further advancement in this research topic.

Many strategies based on the communication and automation capabilities of CAVs have been developed over the past decades, devoted to facilitating the merging/lane-changing maneuvers at freeway on-ramps. Despite the significant progress made, an up-to-date review covering these latest developments is missing to the authors’ best knowledge. This paper conducts a thorough review of the cooperation/coordination strategies that facilitate freeway on-ramp merging using CAVs, focusing on the latest developments in this field. Based on the review, the authors identify the existing research gaps in CAV ramp merging and discuss the potential and promising future research directions to address the gaps.

This study aims to investigate the effects of open innovation (OI) and big data analytics (BDA) on reflective knowledge exchange (RKE) within the context of complex collaborative networks. Specifically, it considers the relationships between sourcing knowledge from an external environment, transferring knowledge to an external environment and adopting solutions that are useful to appropriate returns from innovation.

This study analyzes the connection between the number of patent applications and the amount of OI, as well as the association between the number of patent applications and the use of BDA. Data from firms in the 27 European Union countries were retrieved from the Eurostat database for the period 2014–2019 and were investigated using an ordinary least squares regression analysis.

Because of its twofold lens based on both knowledge management and OI, this study sheds light on OI collaboration modes and highlights the crucial role they could play in innovation. In particular, the results suggest that OI collaboration modes have a strong effect on innovation performance, stimulating the search for RKE.

This study furthers a deeper understanding of RKE, which is shown to be an important mechanism that incentivizes firms to increase their efforts in the innovation process. Further, RKE supports firms in taking full advantage of the innovative knowledge they generate within their inter-organizational network.

The density peak clustering algorithm (DP) is proposed to identify cluster centers by two parameters, i.e. ρ value (local density) and δ value (the distance between a point and another point with a higher ρ value). According to the center-identifying principle of the DP, the potential cluster centers should have a higher ρ value and a higher δ value than other points. However, this principle may limit the DP from identifying some categories with multi-centers or the centers in lower-density regions. In addition, the improper assignment strategy of the DP could cause a wrong assignment result for the non-center points. This paper aims to address the aforementioned issues and improve the clustering performance of the DP.

First, to identify as many potential cluster centers as possible, the authors construct a point-domain by introducing the pinhole imaging strategy to extend the searching range of the potential cluster centers. Second, they design different novel calculation methods for calculating the domain distance, point-domain density and domain similarity. Third, they adopt domain similarity to achieve the domain merging process and optimize the final clustering results.

The experimental results on analyzing 12 synthetic data sets and 12 real-world data sets show that two-stage density peak clustering based on multi-strategy optimization (TMsDP) outperforms the DP and other state-of-the-art algorithms.

The authors propose a novel DP-based clustering method, i.e. TMsDP, and transform the relationship between points into that between domains to ultimately further optimize the clustering performance of the DP.

Refugee entrepreneurship is increasing because of the increased influx of refugees around the globe. This leaves us with the question that how refugees integrate economically in the host country in the presence of all social, emotional and economic constraints. Existing literature suggests looking into the role of social capital to address refugee economic integration, particularly in developing nations. To acknowledge this call, this paper aims to explore the impact of family social capital on the economic integration process. Particularly, this study has investigated the Afghan refugee entrepreneurial activities and the integration process of Afghan refugees in economic and social spaces in Pakistan.

The study is rooted in 18 in-depth interviews with five participants that run small businesses in the city of Rawalpindi in Pakistan.

The findings revealed Afghan refugee entrepreneurs, develop a different type of family social capital i.e. horizontal and vertical social capital. Afterward, when the acculturation pace up across refugees’ generations then they accumulate bridging social capital gradually. The process of economic integration happens in different stages as also shown in the existing literature. Based on (Berry, 2003; Evansluong et al., 2019; Khulman, 1991) economic integration process this paper has discussed three main stages (entry in labor market, gradual integration and gradual sub-merging in host society) of Afghan refugee economic integration in Pakistan and further this study has shown how different steps are arranged within these stages to smoothen the integration process.

With this research, this paper calls for a more nuanced approach to address the challenges that are faced by refugees during their economic integration. Future research on Afghan economic and social integration can contribute to a better understanding of refugee settlement, well-being and self-sufficient status in host countries. One of the limitations of the study is the focus on male participants because female Afghan refugees do not work mostly because of strong patriarchal structures observed in refugee Afghan groups.

Most Afghan entrepreneurs consider them as Pakistani and do not want to repatriate to Afghanistan. This provides an opportunity for Pakistani policymakers to provide regulations and opportunities to Afghan entrepreneurs who want to stay in Pakistan and contribute to their family well-being and economic income generation and employment in Pakistan.

The role of the family acts as a means to refugee entrepreneurs’ integration in the host country. Strong migration networks and dense family configurations are a source of pride, responsibility, resilience and self-esteem for Afghan refugees to start and expand their businesses.

This study provides the opportunity to explore the under-researched role of family social capital in the migrant and refugee entrepreneurship literature.

Digital transformation (DT) harnessing the potential of emerging technology creates opportunities and challenges for organizations worldwide. Senior executives view DT as a key initiative for future competitiveness, a view shared by academic researchers. What may challenge the organization is that the vision may be present while preparedness may be lacking. Organizational preparedness depends on managers and employees charged with implementing DT and their perceptions on preparedness are often not aligned with senior executives.

In this research, the authors explore the perceptions of managers and employees on DT preparedness in an organization by gathering data from 579 participants. This study uses an innovative approach to qualitative data analysis using interactive topic modeling.

Findings in this qualitative study provide valuable insights on the perceptions of these individuals and helps understand (a) how they view DT preparedness and (b) may behave in this context. In general DT is well understood, however managers are not keen to change work processes to take advantage of the new digital tools and there appears that generational gap is a barrier to successful DT.

Senior executives play a central role communicating the DT vision necessary to inspire managers and employees. As organizations continue to invest large sums of money to explore value creation for customers and stakeholders by leveraging digital technologies, the information systems (IS) discipline can take the lead by asking the question, what can be done to improve the understanding of DT implementation in an organization?

The purpose of this study is to follw the process perspective approach in post-M&A (mergers and acquisitions) integration studies, with a focus on human resource function, to make the research literature relevant to HR integration process up to date.

To the best of the author’s knowledge, limited systematic literature review and study in this interface has previously been published.

Therefore, this conceptual study filled in the research gap by pointing out a clear framework on HR integration in cross-border post-acquisitions, reviewing both the content and process of HR integration. This paper contributes to future research on the HR integration process perspective in theoretical directions.

It addresses the gap in research and opens the avenues for M&A researchers to consider HR as the strategic partner during M&As and to study HR aspects in an integrated process perspective view. This approach complements socialized reviews and it suggests a process perspective on how to dispersed themes and interrelate topics. It provide a clear process perspective helps to develop a concurrent research agenda, which can guide future work in the field.