Search results

This study aims to highlight the growth and development of Indo-German collaborative research over the past three decades. Moreover, this study encompasses an in-depth examination of funding acknowledgements to gain valuable insights into the financial support that underpins these collaborative endeavours. Together with this paper, the authors provide an openly accessible data set of Indo-German research papers for further and reproducible research activities (the “Indo-German Literature Dataset”).

The data were retrieved from the Web of Science (WoS) database from the year 1990 till the 30th of November 2022. A total of 36,999 records were retrieved against the used query. Acknowledged entities were extracted using a named entity recognition (NER) model specifically trained for this task. Interrelations between the extracted entities and scientific domains, lengths of acknowledgement texts, number of authors and affiliations, number of citations and gender of the first author, as well as collaboration patterns between Indian and German funders were examined.

The study reveals a consistent and increasing growth in the publication trend over the years. The study brings to light that Physics, Chemistry, Materials Science, Astronomy and Astrophysics and Engineering prominently dominate the Indo-German collaborative research. The USA, followed by England and France, are the most active collaborators in Indian and German research. Largely, research was funded by major German and Indian funding agencies, international corporations and German and American universities. Associations between the first author’s gender and acknowledged entity were observed. Additionally, relations between entity, entity type and scientific domain were discovered.

The study paves the way for enhanced collaboration, optimized resource utilization and societal advantages by offering a profound comprehension of the intricacies inherent in research partnerships between India and Germany. Implementation of the insights gleaned from this study holds the promise of cultivating a more resilient and influential collaborative research ecosystem between the two nations.

The study highlights a deeper understanding of the composition of the Indo-German collaborative research landscape of the past 30 years and its significance in advancing scientific knowledge and fostering international partnerships. Furthermore, the authors provide an open version of the original WoS data set. The Indo-German Literature Data set consists of 22,844 papers from OpenAlex and is available for related studies like literature studies and scientometrics.

Zara et al. (2023) provide novel findings into how psychopathy may develop, showing that early life predictors of poor relationships (e.g. being unwanted before birth) are predictive of psychopathy in adulthood. The authors provide a theoretical interpretation of why psychopathy might develop based on these findings by using an adaptive perspective, suggesting that psychopathy may protect or shield individuals from poor relationships. This commentary aims to critically evaluate and extend this latter suggestion in hopes of fostering further research and clarity on the topic.

After presenting an overview of evolutionary perspectives, a summary and elaboration are presented of the interpretation that psychopathy may be an adaptive response that functions to protect individuals from poor relationships. Then, an additional adaptive interpretation is offered.

Psychopathy describes a collection of traits and behavior that facilitates an approach-oriented and exploitative motivational style that might suggest more than a protective function. When negative or poor relationships are experienced (e.g. being unwanted), it is suggested that psychopathy may begin to develop not just for protection (If I am not loved, I will shield myself from those around me) but to actively orient toward exploitation (If I am not loved, I will exploit those around me).

This commentary hopes to arouse further interest into the theoretical interpretations of why psychopathy may develop that are based on findings of how psychopathy develops. These considerations are consequential for understanding what to target in treatments that aim to meet the specific needs and motivations of individuals with psychopathic traits.

This paper takes stock of developments in, and the state of, the field of comparative and international education at the beginning of the 21st century, using as data base articles published in the journal Comparative Education Review during the second decade of the 21st century and to compare results with a content analysis done on the first 50 years of the existence of the Review and which was published in 2008. The 246 articles that were published in the Comparative Education Review during the decade 2010–2019 were analyzed under the following metrics: levels of analysis of articles; number of units covered by articles; research methods; narrative basis; phase of education articles cover; and mode of education articles deal with. Compared to the first 50 years of the existence of the Review, single-unit national-level studies still dominate the field, though less so. A case can be made out for a deconcentration to allow more space for research at geographic levels both larger and smaller than the nation-state. The most prominent narrative in which articles are framed is that of the social justice narrative. The neo-liberal economic narrative stands strong too, while the poor standing of the human rights narrative is disappointing. Turning to modes and phases of education is concerned, the shadow education system has registered on the comparative and international education research agenda, while there seems to be a modest upswing in interest in pre-primary education. Thoughts about the future trajectory of the field are suggested.

To investigate the effects of supply chain (SC) distance on sustainability adoption, this study aims to advance the way prior studies on SC sustainability presume that SC structures are well-developed and stable. Since SC members face structural voids in different regions, we recognize that the information flow is impacted as SC partners often have limited knowledge of their direct partners. Thus, by studying a multi-stakeholder partnership, this article sheds light on the institutional foundation of sustainability adoption issues largely neglected to date.

A qualitative case study was used with members of an MSP (i.e. a roundtable), to understand the beef SC located in Brazil. Overall, 18 h of interview recordings and notes from 18 h of meeting observations were gathered, equaling 36 h of primary data.

Four dimensions of SC distance (physical, organizational, cultural and institutional) were identified, generating three driving effects on symbolic sustainability adoption and, consequently, a degree of invisibility for beef SC members. The results explain the process of sustainability adoption and highlight that smaller and more upstream suppliers show lower degrees of substantive adoption of SC sustainability practices.

This study investigates how SC distance affects the alignment of SC members in terms of sustainability adoption. By providing reflections on how institutional distance can hinder suppliers from adopting sustainability requirements they received from the SC, this research contributes to shifting from sustainability discourse to real practice and proactive partner engagement.

The purpose of this paper is to: (1) identify strategies to (re)establish organizational legitimacy which dominates the literature; (2) propose and empirically illustrate an analytical framework that establishes the linkages between the dimensions of purposefulness, transparency and participation identified in this literature review as important resources in the creation of organizational legitimacy.

Based on a review of the academic literature, we propose a three-dimensional conceptual framework for understanding and studying strategic communication in contexts of high sustainability pressure. The empirical material we use for illustration is the letters from the chief executive officer (CEO) and the chairman published in the integrated annual report of a Danish company that is well known for its focus on sustainability.

The analysis shows that all three dimensions, i.e. purposefulness, transparency and participation, are present in this data, which the authors find supportive of the theoretical argument that strategic communication needs to encompass all three concepts in order to appear legitimate in contexts of high sustainability pressure.

In recent years, there has been an increased focus on strategic communication of sustainability. However, there is still a lack of general consensus of what is understood by strategic communication in contexts of high sustainability pressure. Overlapping concepts and dimensions make operationalization difficult. This, for example, is a problem for corporations who are increasingly asked by their stakeholders to account for their sustainability activities and engage in conversations of strategic significance to their sustainability goals.

This paper tries to retrospect the mounting application of machine learning (ML) and artificial intelligence (AI) in the human resource management area. The document applies bibliometric analysis and uses relational techniques to explore dimensions of documents in the field. The results highlight publication trends, most impactful authors, countries and institutes in the research area. The science mapping along with co-citation and bibliometric coupling analysis revealed major developments in the field. The thematic mapping and trend analysis highlighted the past and emerging trends towards significant and impactful research in the areas of robotics, big data, AI and data analytics. This paper sets the base for future researchers by coordinating and combining various past researches to help in understanding the evolution of ML and AI in human resource management and expansion of knowledgebase.

This paper aims to provide empirical evidence regarding Lean Six Sigma (LSS) practices supported by Industry 4.0 (I4.0) technologies in heavy vehicle manufacturing processes.

A two-case study was performed involving LSS specialists, leaders and managers of two heavy vehicle manufacturers in Brazil. The data analysis procedure combined content analysis techniques, conceptual maps and network analysis.

The results provide consistent evidence of synergies between LSS and I4.0, including digital mistake-proofing, digital andon, e-kanban, statistical monitoring as well as process mapping aided by cyber-physical systems (CPS) and big data analytics (BDA). To enable such interactions, companies need to invest in automation architectures, system integration, human–machine interfaces and analytical skills.

This study relies on data from a two-case study carried out in two companies from a single manufacturing sector in Brazil. For this reason, the findings cannot be generalized to the entire automotive industry.

There is still a lack of comprehensive research on the application of digital technologies in LSS practices. This is the first study which provides empirical evidence regarding the LSS practices supported by I4.0 technologies used by heavy vehicle manufacturers.