Search Results (9)

The Earnings Response Coefficient (ERC) has emerged as a pivotal topic in academic literature and financial practice, elucidating the critical relationship between corporate earnings information and market response, which directly impacts corporate performance evaluation and investment decision-making. This study aims to identify the most frequently researched topics in the Earnings Response Coefficient domain, explore the basic concepts and theoretical frameworks underlying ERC research, and propose potential future research directions in the field, all within finance and investment management. This research employs bibliometric analysis to use data from Google Scholar and Scopus, accessed through Publish or Perish (PoP), to evaluate the literature’s performance, explore related topics, and identify research trends, thereby deepening the understanding of ERC studies. The findings reveal that income smoothing and intellectual capital disclosure have a significant impact but low connectedness, indicating a need for deeper exploration to heighten their relevance in ERC studies. Research on corporate social responsibility exhibits a high degree of interconnectedness and substantial impact. Underexplored topics such as economic uncertainty and analysts’ influence require greater attention to understand their contributions fully. This study identifies publication trends and citation networks related to ERC, provides insights into researcher collaborations, and offers guidance for academics, practitioners, and policymakers to enrich their understanding, develop more effective earnings management strategies, and design regulations that bolster market transparency and efficiency in the realm of finance and investment management. This research is particularly beneficial for practitioners, as it helps evaluate more effective earnings management strategies and understand the market’s response to earnings information, ultimately enhancing firm value. For policymakers, this study provides a framework for designing regulations and policies that support financial information transparency and market efficiency to enhance economic stability and investor confidence. Full article

Background: Ultra-processed foods (UPFs) are formulations of ingredients that are mostly of exclusive industrial use and may contain additives like artificial colors, flavors, or stabilizers. The sale and consumption of these foods have been increasing despite their associations with increased risk for several non-communicable diseases, including chronic kidney disease (CKD). Compared to less processed and perishable foods, UPFs have longer shelf stability, are widely accessible, and are convenient. They also tend to be more affordable and lower in nutritional quality. The aim of this systematic review and meta-analysis (PROSPERO ID: CRD42023488201) was to investigate whether consumption of UPF is associated with a higher risk of CKD in adults. Methods: We completed a systematic search using Medline, EMBASE, CINAHL, and Cochrane Central databases to identify observational studies published since the wide acceptance of UPF classification and conducted a random-effects model to pool the risk estimates. Results: A total of seven studies met the inclusion criteria for the systematic review, of which four were eligible for meta-analysis. Across these studies, there were 19,645 incident CKD cases from individuals free of baseline CKD. Using a random-effects model, higher UPF intake was significantly associated with increased CKD risk (pooled log-hazard ratio = 0.17; 95% CI: 0.07–0.28; p < 0.001). Conclusions: Given the substantial evidence from this systematic review and meta-analysis indicating an association between UPF and CKD, it is recommended for public health policies to address this risk. Promoting dietary guidelines that encourage the consumption of minimally processed foods could potentially mitigate the prevalence of CKD and improve overall public health outcomes. Full article

In response to the growing interest in innovation performance within dynamic business landscapes, this study aims to fill the gap in comprehensive review studies by examining the factors influencing sustainable innovation performance. Employing a Systematic Review approach, this study elucidates the contributions of prior research and identifies key factors impacting sustainable innovation performance. Various software tools such as Publish/Perish, VOSviewer, and bibliometrics are utilized for the Systematic Review analysis. The research conducted searches in the Scopus scientific database, spanning articles from 1998 to 2023. The findings highlight four predominant themes: knowledge management, research and development, product innovation, and product development. This synthesis of literature provides valuable insights into the complex dynamics shaping sustainable innovation performance within evolving business contexts, facilitating further exploration and understanding in this research domain. This paper’s significance lies in its contribution to enhancing comprehension of the factors driving sustainable innovation performance, thereby aiding practitioners and scholars in navigating and leveraging innovation within contemporary business environments. It offers a foundation for the development of sustainable policies and practices in harnessing innovation to enhance business performance, addressing the ever-changing dynamics of the business environment effectively. Full article

This study addresses the growing recognition of the importance of food and nutrition literacy, while highlighting the limited research in this field, particularly the gap between research and practice. A bibliometric analysis of publications on food and nutrition literacy research from the Scopus database was carried out. Endnote 20, VOSviewer, and Harzing’s Publish or Perish were used to analyze the results. The growth of publications, authorship patterns, collaboration, prolific authors, country contributions, preferred journals, and top-cited articles were the bibliometric indicators used. Subsequently, articles aimed at measuring food or nutrition literacy-implemented programs were analyzed. Existing studies have primarily concentrated on defining and measuring food or nutrition literacy. Although interventions targeting food and nutritional literacy have shown promise in promoting healthy eating, further research is required to identify effective approaches in diverse populations and settings. This study emphasizes the need for additional research to measure intervention program efficacy to enhance the policies and practices in this critical area of public health. These findings underscore the importance of understanding food/nutrition literacy and developing effective interventions to promote healthy eating habits. By bridging the research–practice divide, this study provides valuable insights for policymakers, practitioners, and researchers to address the gaps and improve food/nutrition literacy in various contexts. Full article

Granger causality provides a framework that uses predictability to identify causation between time series variables. This is important to policymakers for effective policy management and recommendations. Granger causality is recognized as the primary advance on the causation problem. The objective of this paper is to conduct a bibliometric analysis of Granger causality publications indexed in the Web of Science database. Harzing’s Publish or Perish and VOSviewer were used for performance analysis and science mapping. The first paper indexed was published in 1981 and there has been an upward trend in the annual publication of Granger causality studies which are shifting towards the areas of environmental science, energy, and economics. Most of the publications are articles and proceeding papers under the areas of business economics, environmental science ecology, and neurosciences/neurology. China has the highest number of publications while the United States has the highest number of citations. England has the highest citation impact. This paper also constructed country co-authorship, co-analysis of cited references, cited sources, and cited authors, keyword co-occurrence, and keyword overlay visualization maps. Full article

A traditional logistics decision model mainly studies the location decision of logistics distribution centers, storage inventory management, vehicle scheduling, and transportation routes. The logistics location-inventory-routing problem (LIRP) is an integrated optimization of the three problems—a comprehensive optimization problem for the whole logistics system. This review paper uses the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analysis) method to review the literature on LIRP systematically. A total of 112 LIRP-related studies published between 2010 and 2021 are reviewed and classified based on 10 abstract and citation databases. The classification includes four aspects: problem characteristics, demand data types, model-based solutions, and application fields. From this systematic review, a few observations are recorded. First, the most popular problems among researchers are the multi-period multi-product problem, the multi-echelon single-link problem, and the multi-depot multi-retailer problem. Based on the objective function, the minimization of total supply chain cost is the primary concern of the LIRP literature. Researchers also favor other problem characteristics such as multi-objective programming, inventory control replenishment policy, and a homogeneous fleet of vehicles. We found that stochastic data are a common factor in an uncertain environment and have broad coverage. When dealing with the LIRP, heuristic and metaheuristic algorithms are the most widely used solution methodologies in the literature. In the application field of LIRP, the perishable products logistics network is mentioned in most applications. Finally, we discuss and emphasize the challenges of and recommendations for future work. This paper provides a systematic review of the literature on LIRP based on the PRISMA method, which contributes vital support and valuable information for researchers interested in LIRP. Full article

Back in the 1930s, the aphorism “publish or perish” first appeared in an academic context. Today, this phrase is becoming a harsh reality in several academic environments, and scientists are giving increasing attention to publishing and disseminating their scientific work. Soil erosion modelers make no exception. With the introduction of the bibliometric field, the evaluation of the impact of a piece of scientific work becomes more articulated. The post-publication impact of the research became an important aspect too. In this study, we analyse the outreach and the impact of the literature on soil erosion modelling using the altmetric database, i.e., Altmetric. In our analysis, we use only a small fraction (around 15%) of Global Applications of Soil Erosion Modelling Tracker (GASEMT) papers because only 257 papers out of 1697 had an Altmetric Score (AS) larger than 0. We observed that media and policy documents mentioned more frequently literature dealing with global-scale assessments and future projection studies than local-scale ones. Papers that are frequently cited by researchers do not necessarily also yield high media and policy outreach. The GASEMT papers that had an AS larger than 0 were, on average, mentioned by one policy document and five Twitter users and had 100 Mendeley readers. Only around 5% and 9% of papers with AS > 0 appeared in news articles and blogs, respectively. However, this percentage was around 45% for Twitter and policy mentions. The top GASEMT paper’s upper bound was around 1 million Twitter followers, while this number was around 10,000 for the 10th ranked GASEMT paper. The exponentially increasing trend for erosion modelling papers having an AS has been confirmed, as during the last 3 years (2014–2017), we estimated that the number of entries had doubled compared to 2011–2014 and quadrupled if we compare it with 2008–2011. Full article

Researchers from Uzbekistan are leading the global list of publications in predatory journals. The current paper reviews the principles of implementation of the “publish or perish policy” in Uzbekistan with an overarching aim of detecting the factors that are pushing more and more scholars to publish the results of their studies in predatory journals. Scientific publications have historically been a cornerstone in the development of science. For the past five decades, the quantity of publications has become a common indicator for determining academic capacity. Governments and institutions are increasingly employing this indicator as an important criterion for promotion and recruitment; simultaneously, researchers are being awarded Ph.D. and D.Sc. degrees for the number of articles they publish in scholarly journals. Many talented academics have had a pay rise or promotion declined due to a short or nonexistent bibliography, which leads to significant pressure on academics to publish. The “publish or perish” principle has become a trend in academia and the key performance indicator for habilitation in Uzbekistan. The present study makes a case for re-examining the criteria set by the Supreme Attestation Commission of the Republic of Uzbekistan for candidates applying for Ph.D. and D.Sc. as well as faculty promotion requirements in the light of current evidence for the deteriorating academic performance of scholars. Full article

In recent times, rankings seem to play an increasingly important role, influencing the lives of individual researchers or academics and their institutions. Individual and institutional rankings used for promotion and research or academic funding seem to illustrate more and more the “publish or perish” mantra, relying sometimes almost exclusively on publications and their citations. Eastern Europe found itself part of this new world after a period of isolation, uneven for the countries within the area. The present study uses SCImago data to perform a regional analysis of individual and aggregated domains, for individual countries and the entire region, based on a novel “adjusted citation index”, in order to measure the performance and identify, using correlations with additional data and information, the mechanisms that can increase the research performance of a country. In a nutshell, the results indicate that the national research policies are responsible for performance. Adaptive research policies simulate a real performance, in comparison with more restrictive ones, which are more likely to stimulate unethical behaviors such as self-citations or citation stacking, especially when used for the assessment of researchers. The importance of the findings lies in the possibility of replicating the methodology, adapting it to different spatial scales. Full article