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Lean Six Sigma (LSS) is a continuous improvement methodology used to increase the efficiency and effectiveness of processes. Although there are several articles published, only two have analyzed the literature from a bibliometrics perspective. The purpose of this paper is to analyze the LSS literature by bibliometrics, identifying its state of the art, scientific gaps and research trends.

Articles published up to 2016 in the database Scopus were investigated to identify the most significant articles, authors, journals, institutions and countries based on citation counting as well as the most frequent keywords and subject areas on LSS. Articles published in 2014, 2015 and 2016 were analyzed to point out scientific gaps and to identify eight main research trends on LSS.

The research trends are: “LSS implementation”, “Healthcare”, “LSS tools”, “Human factors”, “Expansion of results”, “SME”, “LSS combined with other methodologies” and “Education”. The research outcomes also point out the most significant articles, authors, journals, institutions and countries in LSS literature.

This research contributes to develop the state of the art of LSS and helps professionals as well as researchers to identify which issues new studies should address.

The performance of the literature is measured based on the number of citations and not on the number of published papers, and the bibliometric analysis covers the highest number of articles so far (319 articles). Besides, the identification of the main research trends on LSS is exclusively based on the most recent studies.

The purpose of this paper is to highlight the importance of innovation and technological learning in building a knowledge-based economy in the Muslim world. Despite abundant financial and human capital, most Muslim countries still lack adequate scientific and technological infrastructure to absorb, apply and create knowledge and disseminate information.

Using various major international institutions’ databases (UN, World Bank, OCED, etc.), a holistic approach is used to analyse the critical role of science, technology and innovation to build a knowledge-based economy in Muslim countries.

This paper examines the main challenges facing Muslim countries to build a knowledge-based economy driven by innovation and technological learning. In doing so, a framework for building an effective innovation system that will achieve a knowledge-based economy in Muslim countries is presented, taking into account a variety of international, institutional and intellectual perspectives.

Given the scarcity of information and data about the subject area on Muslim countries, the study uses several sources of secondary data which are considered the most valid and reliable data available internationally about the subject.

The purpose of this paper is to examine the relationships among media exposure, general scientific knowledge and the public’s risk perceptions of bovine spongiform encephalopathy (BSE).

Data for this study are based on a survey of 1,001 South Korean adult consumers (502 females and 499 males). The data were analyzed using SPSS 17.0, and multiple linear regression was performed to examine the relationships between risk perceptions and the types of media channel exposure, as well as between risk perceptions and general scientific knowledge.

Results showed that among the measured socio-demographic characteristics, gender was a significant factor. With regard to the variability of media exposure, individuals who were exposed to more internet news were found to have higher risk perceptions in terms of how BSE could affect themselves, while respondents who were more exposed to social networking sites (SNSs) were concerned about how the disease could affect others.

This study provides additional evidence of the third-person effect in risk perceptions of BSE, filling scientific knowledge gaps. Hence, this study suggests that the types of media channels (internet news, television and SNSs) should be considered as significant predictors of risk perceptions about food hazards related to the health of the consumer and others.

This study aims to identify a sustainable university’s key features. It is an essential step in tracing the topics discussed in the context of a sustainable university and their evolution in the scientific discourse.

This paper relies on a systematic literature review (SLR) conducted using two scholarly databases: Emerald and Scopus. The timeframe selected by the authors for reviewing the available sources spans from 2001 to 2021.

The analysis distinguished seven sustainable university categories, each revealing critical features of sustainable higher education. Each of these categories represents an intriguing area for in-depth analysis. The SLR reveals gaps requiring further scientific exploration.

The performed literature review was determined by the choice of entries (keywords) to identify the scientific papers in the selected databases. Moreover, as the authors aimed to focus on peer-reviewed sources, this SLR did not include books and doctoral dissertations dealing with the studied issues.

The results of the analysis can be used practically by both researchers and practitioners in the field of sustainable development (SD). Identified scientific gaps become a potential research field, and practitioners interested in the transition toward SD may contribute by accompanying universities in this journey. Collaboration and networking with business stakeholders are critical vectors for spreading the idea of SD.

Society’s growing concern for climate change requires accurate and specific actions from institutions. As entities educating future generations, universities have a unique role in transforming toward SD. The findings allow us to get acquainted with the existing main activities undertaken by higher education institutions in this field and understand the importance of this topic for researchers.

SLR is a cornerstone of research synthesis and helps integrate scientific evidence from qualitative and quantitative published studies. Conducted research presents knowledge about university sustainability and can help scientists find research gaps.

This paper aims to propose a collaborative approach toward an integrated vulnerability assessment to climate change in Germany that attempts to bridge the gap between scientific output and policy demand.

Conceptually, the approach follows the definition of vulnerability as used by the Intergovernmental Panel on Climate Change, but it has modified this basic concept. It clearly distinguishes between three time slices (presence, near and remote future) not only regarding the change in the climatic conditions but also socio-economic development trends.

The paper concentrates on the selected methodological framework, the collaborative research design and those preliminary results of the nationwide vulnerability assessment that are transferable to other settings.

A Vulnerability Network (“Netzwerk Vulnerabilitaet”) emerged from an applied research project commissioned under the Adaptation Action Plan of the German Strategy for Adaptation to Climate Change by the Federal Ministry for the Environment, Nature Conservation, Building and Nuclear Safety and the Federal Environment Agency. The assessment serves as evidence basis for the implementation of the German Adaptation Strategy. Thus, all relevant federal authorities and agencies are represented in the Vulnerability Network.

The approach is the first really integrative vulnerability assessment for the whole Germany, as it considers not only 16 sectors but also interconnections between these sectors and cumulative effects for three different time slices. Moreover, the normative component of the assessment was clearly separated from the analytic one. The Vulnerability Network as a whole has been responsible for all normative decisions to be taken during the assessment procedure thus ensuring a wide understanding and acceptance of commonly achieved results.

This study aims to investigate and provide comprehensive insights into the state of research on Quality 4.0 across various sectors. The investigation focusses on studies conducted in different countries and is motivated by the perceived benefits of adopting Quality 4.0 and the existing research gap in this domain. The literature review examines two main aspects of Quality 4.0: implementation ingredients and its applications.

This study employed a comprehensive systematic literature review (SLR) and bibliometric analysis of Quality 4.0 publications to identify the benefits, challenges and trends of adopting Quality 4.0.

The applications of Quality 4.0 are centred on six key areas, including agile product development, predictive quality algorithms, cloud databases, automation, reduced cost of quality, streamlined quality processes, accurate demand forecasting and monitoring suppliers and quality metrics using digital dashboards. Geographical disparities in research were identified, with India and the United States of America emerging as the top publishing countries. The dominance of the subjects of business, management and accounting underscored the importance of quality management across diverse sectors.

The limitations of this study include the novelty of the Quality 4.0 topic, which posed a challenge in finding academic material, and the analysis period of six years, which could potentially limit the coverage of recent developments.

The insights and observations from this research offer valuable guidance to academics, practitioners and professionals seeking to implement Quality 4.0 in diverse sectors.

This study contributes a novel perspective to the field by examining the application, utilisation and evaluation of Quality 4.0, providing valuable insights for effectively managing its implementation.

In the age of a knowledge-based economy and following extensive socio-economic changes, the success of organizations is not limited to gaining financial and material resources. Instead, it depends on the acquisition of intangible assets that can be used to achieve a sustainable competitive advantage. In the new strategic environment, organizations will thrive when they see themselves as a learning organization whose goal is to improve intellectual capital continually; an organization that cannot increase its intellectual capital cannot survive. The term intellectual capital is used in the overlap of all assets, intangible resources and non-physical resources of an organization, including processes, innovation capacity and implicit and explicit knowledge of its members and partner network. However, despite the growing importance of intellectual capital and cloud computing as vital resources for organizations' competitive advantage, there is a limited understanding of them. Simultaneously, the management of intellectual capital enables organizational managers to create, nurture, control and preserves a strong competitive advantage source, the advantage that competitors will not easily capture. So, the main objective of the present investigation is to check out the factors affecting the adoption of intellectual capital management systems based on cloud computing in hospitals.

In the last two decades, we have moved toward economics, where investment in Information Technology (IT), human resources, development, research and advertising is essential to maintain competitive advantage and certify the sustainability of organizations. Therefore, it can be stated that the economic value is the creation and management of intangible assets, which are referred to as intellectual capital. On the other hand, cloud computing is presented as a new paradigm for hosting and providing services through the Internet. Cloud computing can lead to too many benefits to organizations, including cost reduction, flexibility and improved performance. The present article examines how optimal intellectual capital management can be achieved using cloud computing. So, seven hypotheses were developed through the dimensions of technology, environment, organization and innovation. In this study, the path analysis was performed using Analytic Hierarchy Process (AHP) and Partial Least Squares (PLS). By reviewing the literature related to the model of technology, organization, environment and innovation dissemination theory, four main criteria, and 15 sub-criteria were identified based on the opinions of specialists, professors and IT experts based on AHP and PLS methods.

The results of this investigation confirmed all the hypotheses. The results illustrated that environmental and technological factors should be regarded more when adopting intellectual capital management systems based on cloud computing. The results also indicated that intellectual capital highly influences improving performance. Furthermore, cloud apps, like other disruptive technology, deliver superior benefits while still presenting a slew of realistic challenges that must be tackled. In order to draw a growing customer base to this business model, software vendors should resolve these concerns. The literature revealed that the computing industry is making tremendous strides around the world. Nevertheless, in order to achieve a faster and softer adoption, newer and more advanced techniques are still required.

The research outcomes can significantly impact a wide range of organizations, such as health-related organizations. However, there are some limitations; for example, the sample is limited to one country. Therefore, future studies can measure the data of this study in different samples in different countries. Future researchers can also boost the model's predictive capability to adopt cloud computing in other organizations by adding environmental, organizational, innovation and other technical factors.

Managers will use these emerging innovations to minimize costs and maximize profits in the intellectual capital management competition. An effective cloud computing based on an electronic human resource management system can significantly increase system performance in industries. The investigators expect that the results will direct clinicians and scholars into a more advanced and developed age of cloud-based apps.

Investigations on the impact of cloud computing on intellectual capital management are rare. Accordingly, this investigation provided a new experience in terms of intellectual capital in the field of cloud computing. This study filled the scientific research gap to understand the factors affecting intellectual capital management systems based on cloud computing. This study provides a better insight into the power of organizational and environmental structure to adopt this technology in hospitals.

The purpose of this paper is to reveal and justify influential factors of dynamic capabilities on research organizations’ R&D and innovation performance.

Adoption of seminal D. Teece’s (1997) concept of dynamic capabilities and operationalized matrix of key performance indicators in the area of R&D and innovation allowed the construction of the strategic management model for research organizations, consequently tested by methods of statistical analysis.

The empirical findings reveal that there exists positive influence of the dynamic capabilities on research organizations’ R&D and innovation performance. Explicitly, sensing, seizing and re-configuring dimensions of dynamic capabilities have positive impact on R&D and innovation results; consequently, the peculiarities of their inter-dependencies are identified.

Delivered research is based on the investigation of Lithuanian research organizations’ dynamic capabilities and their impact on their R&D and innovation performance. Therefore, further research could be extended to foreign countries.

The model on management of research organization’s dynamic capabilities with the aim for better R&D and innovation performance is conceptualized and specified hereinafter. In the course of the research, constructed toolkit to eventually measure research organization’s R&D and innovation performance or use it as the set of key performance indicators in the benchmarking exercise is suggested.

The paper is one of the first to suggest novel application of dynamic capabilities’ view within the domain of research organizations.

This paper aims to examine the contribution of occupational identity and gender in explaining psychological distress among managers. It proposes and tests empirically a theoretical model that integrates identity theory into occupational stress and gender research. It analyses the proposition that a low level of verification of role identity is associated with a high level of psychological distress and that gender plays a moderating role in the relationship between role identity verification and psychological distress.

Multilevel regression analyses were conducted on a sample of 314 managers employed in 56 Canadian firms.

Low level of verification of one standard of managers’ role identity, namely, recognition, is significantly associated with managers’ psychological distress. It encloses monetary and non-monetary recognition, career prospects and job security. Notwithstanding, gender does not moderate the relationship between identity verification and psychological distress.

Studies addressing the contributions of identity and gender in the explanation of managers’ psychological distress are sparse. This paper helps to expand the scope of management and workplace mental health research as well as gender-related research, by proposing a new approach for the study of managers’ psychological distress, by the integration of identity theory and the analysis of the moderating role of gender.