Research Productivity Research Articles

Innovation strategy, digital transformation and competitive advantage of manufacturing enterprises: evidence from China

PurposeThis study aims to integrate the concepts of digital transformation, innovation strategy, and competitive advantage, into a novel research model in an effort to identify a more competitive path for digital transformation within manufacturing enterprises.Design/methodology/approachThe research model was tested through multivariate hierarchical regression analyses, and Hayes’ PROCESS for SPSS, utilizing survey data collected from 183 manufacturing enterprises in China.FindingsThe results indicate that, in comparison to research and development (R&D) and production, digital transformation in service and organizational activities exert a more significant impact on competitive advantage. Conversely, digital transformation in sales does not exhibit a significant impact on competitive advantage. Furthermore, in contrast to exploratory innovation and ambidexterity, exploitative innovation has a more pronounced influence on digital transformation. Additionally, digital transformation has been confirmed as a mediator in the relationship between innovation strategy and competitive advantage.Originality/valueThese findings expand our comprehension of digital transformation as an evolving process and shed light on the relationship between digital transformation and competitive advantage across various value-creating activities. This research serves as a valuable resource for decision-makers in selecting the most suitable path for digital transformation and configuring innovative resources.

Program Directors Survey on the Impact of the COVID-19 Pandemic on Cardiology Fellowship Training

BackgroundThe COVID-19 pandemic catalyzed unprecedented changes to medical education, including CV fellowship programs. CV fellowship PDs offer a unique perspective regarding the impact of the pandemic on CV medical education. ObjectivesThe 4th annual Cardiovascular Diseases (CV) Fellowship Program Directors (PDs) Survey sought to understand the impact of the COVID-19 pandemic on CV fellows and fellowship programs. MethodsThe survey contained 31 items examining the clinical, educational, and academic impact of the COVID-19 pandemic on CV fellowship programs. ResultsSurvey response rate was 54%. Most respondents (58%) represented university-based programs. Most PDs felt that changes to clinical practice during the COVID-19 negatively impacted fellow education in cardiac catheterization (66%), outpatient cardiology (52%), nuclear imaging (51%), and echocardiography (50%). Despite improving attendance, 75% of PDs felt that virtual educational conferences adversely impacted interaction between participants. Only 22% felt they improved fellow education. Most PDs (85%) reported a negative impact of the pandemic on fellow well-being and burnout, and 57% reported a decrease in research productivity among fellows. Even though virtual recruitment allowed programs to interview more competitive candidates, most PDs felt that virtual interviews adversely impacted interactions between their fellows and candidates (71%) and their ability to convey the culture of their program (60%). ConclusionsMost CV fellowship PDs felt the COVID-19 pandemic brought changes that negatively impacted the clinical training, didactic learning, academic productivity, and well-being among cardiology fellows. The implications of these changes on the competency of cardiologists that trained during the COVID-19 pandemic deserve future study.

Trends and Patterns in the Key Attributes of the 24 Top Business Journals: 2001–2021

We document trends and patterns in the key attributes of the 24 top journals during 2001–2021 using data from the Web of Science. These trends include growth by disciplines and journals represented among selected journals in terms of growth in publications, relative publication share of disciplines, number of unique authors, attributes of prolific authors, and the extent of interdisciplinary contributions. We compare and contrast our findings with prior studies and offer a few conjectures on similarities and differences in the findings. We hope that our descriptive findings will spur further research on the production function of science and help identify the determinants of research productivity in top journals.

Impact of Improved Maize and Bean Varieties on Household Income and Food Security in Uganda.

The National Agricultural Research Organisation (NARO) and development partners have invested substantial resources in breeding maize and bean varieties over the years. However, the impact of the varieties on productivity, household income and food security is not well documented. This paper evaluated the ex-post impact of adopting NARO released bean and maize varieties over the last five years on the productivity, household income and food security in Uganda. Data were collected from 30 districts in Uganda through a cross-sectional household survey of 1445 households, focus group discussions and key informant interviews. Using propensity score matching and endogenous switching regression models, the results showed that adoption of improved bean and maize varieties significantly increased crop productivity, household income and food security. This evidence suggests that there were tangible benefits from funding the development of bean and maize varieties in Uganda. The results indicate that although adoption of the improved bean and maize varieties increased productivity, it was still far below the research production output. This suggests that in addition to developing and disseminating the appropriate varieties, emphasis should be put on training farmers to use the complimentary inputs and practices to get the full benefit of the improved varieties.

Explosion of research on psychopathology and social media use after COVID-19: A scientometric study.

Despite advances in research on psychopathology and social media use, no comprehensive review has examined published papers on this type of research and considered how it was affected by the coronavirus disease 2019 (COVID-19) outbreak. To explore the status of research on psychopathology and social media use before and after the COVID-19 outbreak. We used Bibliometrix (an R software package) to conduct a scientometric analysis of 4588 relevant studies drawn from the Web of Science Core Collection, PubMed, and Scopus databases. Such research output was scarce before COVID-19, but exploded after the pandemic with the publication of a number of high-impact articles. Key authors and institutions, located primarily in developed countries, maintained their core positions, largely uninfluenced by COVID-19; however, research production and collaboration in developing countries increased significantly after COVID-19. Through the analysis of keywords, we identified commonly used methods in this field, together with specific populations, psychopathological conditions, and clinical treatments. Researchers have devoted increasing attention to gender differences in psychopathological states and linked COVID-19 strongly to depression, with depression detection becoming a new trend. Developments in research on psychopathology and social media use are unbalanced and uncoordinated across countries/regions, and more in-depth clinical studies should be conducted in the future. After COVID-19, there was an increased level of concern about mental health issues and a changing emphasis on social media use and the impact of public health emergencies.

How Factually Accurate is GPT-3? A Focused Case Study on Helping Malaysia’s B40s Through e-Commerce

GPT-3 (Generative Pre-trained Transformer 3) is an advanced natural language processing model utilizing unsupervised learning to generate sophisticated human-like text. GPT-3 has been lauded for its potential to revolutionize the field of natural language processing, with its capacity to generate a variety of text with a high degree of fluency and accuracy. We examine the ability of GPT-3’s to produce text related to a focused subject matter: alleviating poverty in Malaysia through e-Commerce. We especially examine GPT-3’s ability to produce factual responses within this narrow context. It was discovered that GPT-3 could produce plausible statements, albeit some of them being factually debatable or incorrect due to how its training data was sourced. We also discuss how GPT-3 could be used unscrupulously to either produce academic-sounding responses that appear to be a product of research, but possibly untrue or inaccurate and discuss its potential ramifications (such as propaganda and disinformation). We end the paper with some suggestions to the brilliant team at OpenAI to further improve GPT-3 for the advancement of humankind.

The Cold War in pharmacology: a bibliometric analysis of Berlin’s contributions to Naunyn‑Schmiedeberg’s Archives of Pharmacology (1947–1974)

After World War II, Berlin was divided into the West, controlled by The United States, the UK, and France, and the East, controlled by the Soviet Union, resulting in a Cold War for decades. This bibliometric study analyzes the influence of the Cold War on pharmacological research in Berlin by evaluating publication patterns in Naunyn-Schmiedeberg’s Archives of Pharmacology from 1947 to 1974 (n = 383). The publications highlight the political disparities in scientific output, exacerbated by the founding of the Free University of Berlin (FUB) as a countermeasure to Soviet repression, promoting academic freedom in West-Berlin. Researchers in West-Berlin published many more papers in Naunyn-Schmiedeberg’s Archives of Pharmacology than researchers in East-Berlin and received much more citations. West-Berlin adopted English as a scientific language much more rapidly than East-Berlin. West-Berlin and East-Berlin focused on totally different research topics. This paper demonstrates how political freedom, financial support, and internationalization boosted research productivity in West-Berlin. In contrast, political suppression, financial scarcity, and restricted international ties hindered scientific development in East-Berlin.

Building and examining research capability in Australian health students: a mixed methods study

Building and examining research capability in Australian health students: a mixed methods study

Engagement and Efficacy of Secondary Teachers Towards Sustainability of Research Culture: The Moderated Mediating Effect of Ancillary Functions and Research Productivity

Engagement and Efficacy of Secondary Teachers Towards Sustainability of Research Culture: The Moderated Mediating Effect of Ancillary Functions and Research Productivity

Enhancing MD simulations: ASGARD's automated analysis for GROMACS.

Molecular Dynamics (MD) simulations are essential in analyzing the physical movement of molecules, with GROMACS being a widely recognized open-source package for this purpose. However, conducting analyses individually in GROMACS can take excessive time and effort. Addressing this challenge, we introduce ASGARD, an innovative workflow designed to streamline and automate the analysis of MD simulation of protein or protein-ligand complex. Unlike the traditional, manual approach, ASGARD enables researchers to generate comprehensive analyses with a single command line, significantly accelerating the research process and avoiding the laborious task of manual report generation. This tool automatically performs a range of analyses post-simulation, including system stability and flexibility assessments through RMSD Fluctuation and Distribution calculations. It further provides dynamic analysis using SASA, DSSP method graphs, and various interaction analyses. A key feature of ASGARD is its user-friendly design; it requires no additional installations or dependencies, making it highly accessible for researchers. In conclusion, ASGARD simplifies the MD simulation analysis process and substantially enhances efficiency and productivity in molecular research by providing an integrated, one-command analysis solution.Communicated by Ramaswamy H. Sarma.

Tensile testing data of additive manufactured ASTM D638 standard specimens with embedded internal geometrical features

Additive manufacturing (AM) is now widely used for research and industrial production. The benchmark data for mechanical properties of additively manufactured specimens is very useful for many communities. This data article presents a tensile testing dataset of ASTM D638 size specimens without and with embedded internal geometrical features printed using polylactic acid (PLA) in a Fused Filament Fabrication (FFF) additive manufacturing process. The added features can mimic defects of various shapes and sizes. This work is a supplement to the published research article Assisted defect detection by in-process monitoring of additive manufacturing using optical imaging and infrared thermography (Additive Manufacturing, 2023, 103483). The printed specimens were tensile tested. Stress-strain graphs were developed and used to calculate the mechanical properties such as ultimate tensile strength (UTS) and strain at UTS. The mechanical properties, the correlations between mechanical properties and size, shape and location of geometrical features (defects), and the trends in mechanical properties can be useful in benchmarking the results of other researchers.

Relationship Trends of Financial Literacy and Well-being: A Bibliometric Mapping and Systematic Literature Review

The primary purpose of this research was to learn about current worldwide study drifts in financial literacy and well-being that leads to mental health of people. Information for this purpose came from Scopus database, which is one of the world's largest bibliographic databases. This study goes along with literature reviews of systematic, network, and bibliometric nature and includes network analysis (NA) that was applied to find a year-over-year growth pattern with annual progress occurrence, authorship pattern, degree of alliance, top prolific writers, highly cited papers, most collaborative institutes, most desired sources, AJG-rated journals, collaboration networks, and so on. The research is based on an assessment of 164 academic papers published between 2005 and 2022. During the research, the most productive year was 2020. With five publications and 201 total citations, it is clear that Xiao Ju was the most prolific author. Financial Education and Financial Satisfaction: Financial Literacy, Behavior, And Capability ss Mediators, published in 2017, received the most citations. Social Indicators Research was the most cited source, with 296 citations and four articles. For network visualization, the VOS viewer software version 1.6.18 was utilized, and R version 4.1.1 (2021-08-10) with the Biblioshiny package was used for Bibliometric analysis. According to the findings, there was a steady growth in financial literacy and well-being research productivity during the study period.

A guide to artificial intelligence for cancer researchers.

Artificial intelligence (AI) has been commoditized. It has evolved from a specialty resource to a readily accessible tool for cancer researchers. AI-based tools can boost research productivity in daily workflows, but can also extract hidden information from existing data, thereby enabling new scientific discoveries. Building a basic literacy in these tools is useful for every cancer researcher. Researchers with a traditional biological science focus can use AI-based tools through off-the-shelf software, whereas those who are more computationally inclined can develop their own AI-based software pipelines. In this article, we provide a practical guide for non-computational cancer researchers to understand how AI-based tools can benefit them. We convey general principles of AI for applications in image analysis, natural language processing and drug discovery. In addition, we give examples of how non-computational researchers can get started on the journey to productively use AI in their own work.

Unveiling the Shadows: Overcoming Bottlenecks in Scaling Organic Photovoltaic Technology from Laboratory to Industry

AbstractOrganic photovoltaic (OPV) technology has recently achieved remarkable progress in academia, attaining power conversion efficiencies exceeding 19%, a breakthrough previously unimaginable. Despite these advancements, the translation of high‐efficiency OPV cells into the commercialization of OPV modules has been limited, impeding the market penetration of OPV technology. Upon careful examination, various challenges emerge, including disparities between laboratory research and industrial production in device architecture, influenced by considerations of cost and manufacturability. Additionally, the incorporation of high‐efficiency materials requires careful consideration not only of the compatibility between the photoactive layer and interface layers or transparent electrodes but also of the associated synthetic complexity of chemical structures and cost implications. While these issues are crucial, they may not be widely discussed in current mainstream research. In this article, the purpose is to identify bottlenecks from a material techniques perspective, with the aim of promoting increased resources in the research of pertinent module technologies. This effort is intended to propel OPV technology toward greater success and bring it into closer alignment with the goals of commercialization.

Trends and patterns of orthognathic surgery in Saudi Arabia: a visualized bibliometric analysis of research output

This study conducted a bibliometric analysis of orthognathic surgery research from Saudi Arabia between 1994 and 2024 in the Web of Science database. The goal was to evaluate Saudi Arabia's influence in the field and implications worldwide. Relevant keywords were used without year restrictions to search for articles. Biblioshiny and VOS viewer were used to analyse and visualize the bibliometric data, including total citations, h-index, and number of papers. The results show that Saudi Arabia has significantly increased its orthognathic surgery research production over time, especially in 2021 and 2023. King Saud University and King Abdulaziz University emerged as the leading institutions in number of papers. The most cited work was an expert review on using artificial intelligence for orthodontic diagnosis and planning orthognathic surgeries. This represents meaningful progress in combining technology with orthognathic surgery. Alhammad, Alnofaie, and Al-Sebaei were identified as the most productive individual authors, each authoring around three papers. The bibliographic analysis highlights the need for increased cooperation between Saudi institutions to boost research outputs and advance the application of new technologies in orthognathic surgery. The study serves as a foundation for further developing orthognathic surgery research in Saudi Arabia, which remains one of the few developing nations showing promising potential for growth in this area.

Barriers to research productivity of academics in Tanzania higher education institutions: the need for policy interventions

Barriers to research productivity of academics in Tanzania higher education institutions: the need for policy interventions

Documenting and communicating the contributions of embedded statisticians: Show me the value!

Academic research productivity relies upon the contribution of statisticians, who are typically clustered in statistics and biostatistics departments, isolated from clinical researchers. Most academic health centres have created consultation hubs or research incubators to make statisticians available for individual collaboration to support the clinical research enterprise. Additionally, some clinical departments within academic health centres have recognized the value in colocating statisticians within their clinical departments to improve availability for collaboration with physicians/researchers. Embedded statisticians encounter the same challenges of isolated statisticians regarding professional support and networking, mentorship and clear role expectations. While for all collaborative statisticians, it is important to effectively communicate value to both collaborators and supervisors, this may be especially problematic for embedded statisticians in clinical departments where their supervisors may not have backgrounds in research or statistics. Previous papers have reported valuable metrics for statisticians, particularly those associated with Biostatistics, Epidemiology and Research Design Cores. There is a knowledge gap regarding metrics tailored to meet the needs of the embedded statistician and clinical supervisors. This paper is a first step towards addressing this important need.In this paper, we explore (1) the critical role of collaborative statisticians and the benefits and challenges of the embedded statistician model, (2) the need for additional metrics specific to embedded statisticians which measure value and (3) how to design a value report. We offer a framework for evaluation of the contributions of the embedded statistician with the following domains: (1) collaboration, (2) research output/productivity, (3) mentoring and (4) education. Metrics that are particularly specific to embedded statisticians and that are not routinely captured include time from project initiation to completion/outcome, time from initial statistical consultation to statistical outcome completion and summary of level of contribution for manuscripts and presentations in addition to author order. We conclude with thoughts on future directions for development of metrics and reporting systems for statisticians embedded in clinical departments.

Mapping the evolution of gender dysphoria research: a comprehensive bibliometric study

AbstractThe definition of gender dysphoria has been the subject of extensive scientific debate in various fields. The Diagnostic and Statistical Manual of Mental Disorders, 5th edition (DSM-V) characterizes gender dysphoria as a psychological condition due to a discrepancy between perceived and assigned gender. The scientific community has engaged in an extensive debate over the years regarding the classification of gender dysphoria, initially characterizing it as a gender identity disorder and subsequently removing it from the category of mental disorder. This paper aims to use bibliometric techniques to analyze scientific productivity and study the evolution of content on gender dysphoria from 1991 to 2022. It provides to map the scientific research production in this field through the science mapping approach highlighting the changes that have taken place over the past three decades.

Medical research production in native languages: A descriptive analysis of PubMed database.

Language barriers in medicine can hinder effective communication, comprehension, and patient care. While English has emerged as the dominant language in global medicine, the importance of native languages should not be overlooked. This article aims to examine the extent of publishing in native languages by analyzing the PubMed database literature to gain further insights into the usage of native languages in medicine and medical research. In December 2023, a comprehensive examination of the PubMed literature was conducted for each of the 55 registered languages. We searched for records published in each language (e.g., German[lang]) by applying language filters. Ethnologue provided data on the number of worldwide native speakers for each language, facilitating a comparative analysis. By December 2023, PubMed contained over 36 million publications, with 86.5% of them published in English. German, French, and Russian came after English, with over 700 thousand publications each. Among the languages analyzed, fourteen had fewer than 50 publications, nineteen had fewer than 100, twenty-two had fewer than 500, and twenty-five had fewer than one thousand publications. European languages were well-represented with thousands of publications each, while widely spoken languages such as Hindi and Arabic had limited representation. The production of medical research in native languages reflects the attention given to native languages in medicine and medical education within each country. It is crucial to provide due attention to these language-related issues and explore strategies for including native languages in medicine to bridge the gaps in language and medicine.

Is the Productivity of Faculty Members Sustainable? The Perspective of Faculty Members

In the global economic landscape, a nation’s ability to secure a prominent position is intricately linked to its capacity for knowledge augmentation and technological innovation. This correlation underscores the pivotal role of universities and academicians, whose importance directly reflects a country’s level of development. The effectual execution of educational, research, and innovative pursuits within university settings necessitates the presence of qualified, productive, and dedicated academicians. As key contributors to academic, social, and humanitarian spheres, academicians bear responsibilities spanning research, teaching, societal enlightenment, and problem solving within higher education. The scholarly productivity of researchers is commonly gauged through metrics involving scientific publications and academic engagements. Notably, in many countries, advancements and appointments within academic institutions are contingent on the demonstrated productivity of academicians. Aligning with this global trend, Turkey accordingly structures its promotion and appointment procedures within academia. This study aims to ascertain faculty members’ perspectives regarding academic productivity after their associate professors’ and professors’ appointments in Turkey. Furthermore, we endeavor to identify the underlying factors contributing to this decline and increase academic productivity. Our findings emphasize the intricate interplay of various factors influencing academic productivity and sustainability. These include the significance of institutional support, economic stability, intrinsic motivation, and challenges such as bureaucratic processes and gender-related issues, which collectively shape the academic landscape and faculty members’ ability to produce impactful research over time. The research study group comprised 20 faculty members working at a public University in Turkey in the 2022–2023 academic year. This study was prepared using a qualitative research model. This study used the interview technique, one of the data collection techniques used in process-based evaluation applications. Furthermore, the obtained data were analyzed using the content analysis technique used in qualitative research methods.