Search results

This study explores the complex impact of COVID-19 on India's financial sector, moving beyond simplistic public health vs. economy views. We assess market vulnerabilities and analyze how public sentiment, measured through Google Trends, can predict stock market fluctuations. We propose a novel framework using Google Trends for financial sentiment analysis, aiming to improve understanding and preparedness for future crises.

Hybrid approach leverages Google Trends as sentiment tool, market data, and momentum indicators like Rate of Change, Average Directional Index and Stochastic Oscillator, to deliver accurate, market insights for informed investment decisions during pandemic.

Our study reveals that the pandemic significantly impacted the Indian financial sector, highlighting its vulnerabilities. Capitalizing on this insight, we built a ground-breaking predictive model with an impressive 98.95% maximum accuracy in forecasting stock market values during such events.

To the best of authors knowledge this model's originality lies in its focus on short-term impact, novel data fusion and methodology, and high accuracy.• Focus on short-term impact: Our model uniquely identifies and quantifies the fleeting effects of COVID-19 on market behavior.• Novel data fusion and framework: A novel framework of sentiment analysis was introduced in the form of Trend Popularity Index. Combining trend popularity index with momentum offers a comprehensive and dynamic approach to predicting market movements during volatile periods.• High predictive accuracy: Achieving the prediction accuracy (98.93%) sets this model apart from existing solutions, making it a valuable tool for informed decision-making.

Corporate donation behavior sends two financial-related signals, i.e. sufficient cash flow and self-confidence in future earnings. This paper aims to investigate whether these financial-related signals released by corporate donation drive investors to make more optimistic forecasts about the firm’s future earnings per share (EPS) and whether this effect varies across different historical earnings trends.

This study is based on a controlled online experiment with 553 MBA students.

The results demonstrate that a financial signaling mechanism works, but it is moderated by historical earnings trends. When the earnings trend is always increasing, the more the number of financial signals received, the higher the investors’ EPS forecast; when the earnings trend is fluctuating (down then up or up then down), investors’ EPS forecast is higher when they receive financial signal(s) than when they do not, but no additive effect occurs from receiving one signal to two signals; when the earnings trend is always decreasing, investors’ EPS forecast is irrelevant to the number of financial signals received.

To the best of the authors’ knowledge, this study is the first to experimentally investigate a possible mechanism to explain investors’ positive response to corporate social responsibility (CSR) (specifically, corporate donation) disclosures – the financial signaling mechanism. This study also extends the research on the impact of financial information on investors’ use of nonfinancial information by investigating the moderating role of historical earnings trends on the financial signaling mechanism of the CSR effect.

Criteria importance through intercriteria correlation (CRITIC) is a multicriteria decision-making method that helps compute the weights of decision criteria by considering the contrast intensity and conflicting relationships inherent in each criterion. This study aims to conduct a bibliometric analysis to provide quantitative insights into the research trends concerning the CRITIC method.

The study assembled bibliographic data from 220 CRITIC-based publications retrieved from the Scopus database. Subsequently, the gathered data were processed using Tableau software, using specific functions within the software to format them to suit the analysis requirements. Following data preparation, a visual analysis was then conducted based on five parameters that can characterize the research evolutions in CRITIC. These parameters include research productivity across years, dominant countries, dominant researchers, dominant publication outlets and popular research topics. Various visualization techniques, such as combined charts, geographical maps and word clouds, were used to draw conclusions for each parameter.

The study discovered a burgeoning trend in CRITIC research in recent years, particularly from 2019 onwards. The COVID-19 pandemic unexpectedly contributed to this upward trend, prompting remarkable collaboration among researchers who used diverse decision-making methods, such as CRITIC, to provide data-driven solutions for addressing COVID-19 challenges. Additionally, the study identified China and Iran as the leading countries in CRITIC research, with notable researchers such as Xindong Peng and Mehdi Keshavarz-Ghorabaee predominantly affiliated with institutions in these countries. Keyword analysis indicated the application of CRITIC across various trending topics, including Industry 4.0 and environmental sustainability.

No bibliometric analyses have been conducted on the CRITIC method in the literature since its inception in 1995, leaving the scientific community clueless about its research trends. To the best of the author’s knowledge, this study serves as the first bibliometric analysis, providing quantitative evidence on the research trends associated with the CRITIC method. By shedding light on these trends, this study enables the scientific community, including researchers and funding agencies, to make informed decisions regarding future research endeavors involving the CRITIC method.

While designing personally meaningful activities with data technologies can support the development of data literacies, this paper aims to focuses on the overlooked aspect of how learners navigate tensions between personal experiences and data trends.

The authors report on an analysis of three student cases from a design study in which middle and high school youth assembled family migration stories using data visualization technologies with socioeconomic and demographic data. The authors used interaction analysis to examine how students responded to misalignments they encountered between their families’ experiences and data trends in their models, drawing on the theoretical construct of epistemic data agency.

This case analysis demonstrates ways in which students enacted epistemic data agency. Instructional support can help students deepen inquiry and avoid certain pitfalls, such as encoding data in unsound or misleading ways to support a particular story, while encouraging students to see themselves as an epistemic authority on par with data. This study opens pathways for future research that considers how data can shape personal narratives and how students can leverage their experiences in the stories they tell with data.

The authors introduce the construct of epistemic data agency to describe the conceptual and material practices that reveal and shape students’ relationships to the data. The descriptions of students enacting epistemic data agency in assembling data stories informs the understanding of how to better elevate and recognize students’ efforts in relation to disciplinary norms and support deeper, meaningful student learning with and about data.

A methodological approach is required that complements studies based on surveys, providing a perspective with greater truthfulness and coverage. The study aims to develop a methodology to validate psychological/managerial constructs using data from Google Trends, taking as a case study a critical thinking (CT) scale in organizational domains previously supported by survey data.

The developed methodology consists of eight stages, in which the following is integrated: (1) Internet search interest data (19 Spanish-speaking countries); (2) deductive research processes (e.g. theoretical model, linguistic manifestations, fieldwork, data matrix, analysis statistical, reporting); (3) psychometric properties (e.g. construct validity, criterion validity, reliability) and (4) objective data to examine criterion validity (e.g. unemployment rate).

The application of the methodology produces evidence that supports the reliability (Cronbach’s alpha, Guttman’s λ₄), construct validity (intra-correlations and correlations with reference variables: “entrepreneurship,” “critical thinking,” “soccer,” “beer,” “pornography”) and criterion validity (prediction of unemployment rate) of the CT scale.

The methodology makes it possible to support or invalidate the quality of construct measurement scales by planning, capturing and processing data available on the internet.

This manuscript is useful for research in business management (and related areas), which is intensive in the use of psychological/managerial constructs.

The methodology uses a new type of evidence; it is noninvasive, usually more truthful than responses to surveys, and has greater coverage of people participating indirectly in the study.

The succession phenomenon in family-owned businesses (F-OB) determines their future viability and success. This study aims to provide insight into key research areas related to F-OB’s succession and identify gaps in current literature that can be explored in future research.

The research article analysis was conducted using bibliometric techniques with VOS viewer and R-Studio Software. This study analyzed 799 articles from the Web of Science (1993–2023) to assess succession in F-OBs and future research directions.

This bibliometric study provides evolutionary publication trends on the succession of F-OBs. It also identified journals, universities, future trends, thematic maps, cluster networks, authorship countries, theoretical lenses and research gaps linked with F-OB’s succession.

This study focuses on the trends and research themes that have influenced and progressed the comprehension of succession phenomena and dynamics associated with the survival of F-OBs. By conducting a bibliometric analysis of these influential studies, the research provides an overview of significant advancements. It highlights gaps that can be addressed as future research opportunities to enhance the succession processes of F-OBs.

This research aims to investigate the relationship between environmental, social and governance (ESG) factors and the performance of real estate companies before and after the COVID-19 pandemic. By conducting a comprehensive case study analysis, we will explore how real estate companies' adoption of ESG practices has influenced their financial performance, market value and resilience during these uncertain times. The findings of this study will contribute to the existing body of knowledge on the relationship between ESG factors and company performance, specifically within the real estate sector. Moreover, the research outcomes will offer practical implications for real estate companies, investors, policymakers and other stakeholders, aiding them in making informed decisions regarding ESG integration and its potential benefits in uncertain times. Overall, this research aims to shed light on whether ESG factors truly enhance the performance of real estate companies, considering the unique challenges posed by the COVID-19 pandemic and sanctions. By examining the case study before and during uncertain times including COVID-19 pandemic and sanctions, we provide valuable insights into the role of ESG practices in shaping the future of the real estate industry.

The study focuses on the selection process and main model used to investigate the relationship between ESG factors and firm performance. The data is divided into four groups based on ESG quartiles to analyze differences between firms with high and low ESG scores. The Difference-in-Differences (DID) model is employed to assess anomalous returns and stock volatility across different ESG quartiles before and after the COVID-19 pandemic. Panel data models are utilized to study the association between ESG and firm performance, with random effects and fixed effects estimators considered. The study builds a model to analyze the impact of ESG on financial performance indicators, incorporating various factors and control variables. Additionally, the Average Treatment Effect on the Treated (ATET) analysis and DID model are explored to evaluate the causal impact of ESG on firm performance. The study emphasizes the importance of testing for parallel trends to ensure the validity of the ATET analysis and it presents a generalized DID model to examine the relationship between ESG scores and company performance outcomes.

Our study's main conclusions show that, in a world with some degree of stability, ESG not only does not improve but, in some situations, also hurts firms' success. On the other hand, at times of notable worldwide unrest, like the COVID-19 pandemic, firms with better ESG ratings demonstrate exceptional stock market success and a noteworthy ability to rebound from a crisis. Moreover, we note that investors truly prioritize sustainable investments as a risk mitigation strategy in addition to their environmental and social duties only when companies face sufficiently significant risks. The results will highlight the significance of sustainable and responsible investment for investors and provide management with more knowledge to create effective ESG strategies for their companies.

By incorporating sustainability and responsibility into their operations, businesses may reduce risk, perform better over the long run and benefit society and the environment. As investors come to understand the importance of ESG issues in their decision-making, the global landscape is experiencing a transformation. Therefore, in the era when stakeholders, such as consumers, workers and shareholders, want more responsibility and transparency when it comes to ESG practises, it is crucial that companies should devote their priority to their ESG performance in order to reduce the danger of slipping behind, especially in light of the increasing importance of sustainability issues and changing laws. However, in the case of small-sized firms, investment policies to improve companies’ governance need to be controlled in moderation during the period of stability because it will create financial pressure and leave them without enough resources to cope with negative impacts during uncertain period. In sum, sustainable and ethical investment is not only a fad; rather, it is a vital and unavoidable route for companies looking to prosper in an unpredictable and complicated global environment.

This research study significantly enhances the existing academic discourse surrounding the relationship between ESG factors and firm performance, particularly, in periods of uncertainty. The findings underscore the critical importance for real estate companies to place a greater emphasis on ESG practices in order to not only benefit themselves but also to improve their overall performance and sustainability in the long term. By shedding light on the positive outcomes associated with prioritizing ESG considerations, this study offers valuable insights for real estate firms seeking to enhance their competitive advantage and stakeholder value in today's dynamic business landscape.

The research questions probe into the heart of participatory learning’s scholarly landscape. They inquire about historical trends, shifts in research interest, and regional contributions, highlighting the global reach of participatory learning discourse. The study also reaches into the most cited papers, emphasizing their pivotal role in shaping the field’s trajectory.

The research design of our study involves a retrospective analysis focused on the topic of participatory learning in education. A retrospective analysis is a methodological approach that entails examining existing literature, data, and publications within a specific field to identify trends, patterns, and insights over a defined period. In the context of participatory learning in education, this research design allows us to gain a comprehensive understanding of the evolution, contributions, and emerging directions within this pedagogical approach.

The culmination of this study lies in formulating 75 thought-provoking future research questions. These questions are designed to guide the future trajectory of participatory learning research, addressing existing gaps and propelling the field toward new horizons. The findings of the study contribute to a panoramic view of participatory learning’s evolution, global impact, and potential for reshaping education. It is a compass for researchers, educators, and policymakers navigating the intricate landscape of participatory learning in education.

Themes and topics are thoroughly explored, unrevealed the multidimensional nature of participatory learning research. The investigation spans time, revealing enduring themes while unveiling emerging areas of inquiry that capture the attention of researchers and practitioners. Current trends and focus areas are scrutinized, offering insights into the ever-evolving scholarly pursuits within participatory learning.

This comprehensive study investigates the evolution and impact of research on participatory learning in education from 1995 to 2023. The research objectives encompass a broad spectrum, including trend analysis, geographical distribution assessment and identification of influential papers, thematic exploration, and the formulation of future research questions. Through a meticulous examination of published literature, this study aims to shed light on the development of participatory learning as a transformative educational approach.

This study’s originality lies in its comprehensive analysis of participatory learning in education from 1995 to 2023, revealing temporal trends, global contributions, influential papers, thematic nuances, and emerging trends. By amalgamating these dimensions, it offers a holistic view of participatory learning’s evolution, impact, and future directions, enriching the understanding of this transformative educational approach and guiding further research and practice.

Maritime transportation plays an important role in facilitating both the global and regional merchandise trade, where accurate trend prediction is crucial in assisting decision-making in the industry. This paper aims to conduct a macro-level study to predict world vessel supply and demand.

The automatic autoregressive integrated moving average (ARIMA) is used for the univariate vessel supply and demand time-series forecasting based on the data records from 1980 to 2021.

For the future projection of the demand side, the predicted outcomes for total vessel demand and world dry cargo vessel demand until 2030 indicate upward trends. For the supply side, the predominant upward trends for world total vessel supply, oil tanker vessel supply, container vessel supply and other types of vessel supply are captured. The world bulk carrier vessel supply prediction results indicate an initial upward trend, followed by a slight decline, while the forecasted world general cargo vessel supply values remain relatively stable. By comparing the predicted percentage change rates, there is a gradual convergence between demand and supply change rates in the near future. We also find that the impact of the COVID-19 pandemic on the time-series prediction results is not statistically significant.

The results can provide policy implications in strategic planning and operation to various stakeholders in the shipping industry for vessel building, scrapping and deployment.

This study aims to comprehensively analyze the intersection of technology management and innovation management amidst the fourth industrial revolution, uncovering evolving trends and influential contributors.

Using the Bibliometrix R-package, this pioneering research conducts a bibliometric analysis to delve into innovation and technology management literature, quantifying scholarly output and identifying thematic breakthroughs.

The study reveals quantitative insights into the progression of innovation and technology management research, offering guidance on evolving trends, thematic breakthroughs and influential contributors.

The findings offer valuable insights for practitioners and managers, guiding them through emerging trends and recommending a dual focus on fundamental principles and emerging areas for strategic decision-making.

By fostering active engagement with evolving trends, this research contributes to the ongoing technology and innovation management discourse, potentially leading to societal benefits and advancements.

This study pioneers an in-depth bibliometric analysis at the intersection of innovation and technology management, offering unique insights and quantitative assessments of scholarly output and thematic trends, thus adding significant value to the existing literature.