Findings Of Paper Research Articles

Investor response to financial news in the digital transformation era: the impact of accounting disclosures and herding behavior as indirect effect

PurposeThis study aims to examine investors' reactions to bad financial news (IRBFN) based on complex financial accounting disclosures (CFAD) as well as how investors' herding behavior influences investor reactions in United Arab Emirates (UAE) project-based organizations (PBOs).Design/methodology/approachThe primary data collection was furnished via online questionnaires, and 310 completed questionnaires were analyzed using structural equation modelling (SEM), moderation analysis, multiple regression simulations and path analysis.FindingsThe study shows that four out of the five CFAD dimensions observed – investors’ relations (IR), board and management structure, transparency disclosure and other disclosure channels – have a direct influence on investor's reactions to bad financial news, with the exception of “external auditing and audit service”. In addition, investor herding has a moderation impact on the relationship between CFAD and IRBFN.Research limitations/implicationsThere is a possibility that the broad view of the results may be limited by the size of the research sample. The paper's findings should therefore be authenticated at an intercontinental level with the same conceptual framework in other nations.Practical implicationsThe purpose of modeling stakeholders' decision-making process is to improve their decisions and to control their reactions that may negatively affect PBOs in the UAE.Originality/valueThis research contributes to planned behavior theory and agency theory in the UAE context, both of which are empirically tested.

Toward a High-Quality System: A Critique of Chinese Special Education Policy Development and the Guidelines for the Evaluation of the Quality of Special Education Schools

Purpose This study reviews the development of special education policies in China and analyzes the major characteristics of policy changes from a critical perspective within specific sociocultural contexts in China. Design/Approach/Methods Interpretations of the newly published Guidelines for the Evaluation of the Quality of Special Education Schools are highlighted to reveal the recent manifestations of policy mandates for special education in China. Findings China accelerated its policy formulation on special education after the 1980s, moving away from a focus on universalization to quality enhancement and a holistic high-quality “special education system” under the mandate of legislation rather than non-binding regulatory recommendations. This policy aims to develop a high-quality system with accountability that responds to global trends toward inclusive education and fulfills local needs in a pragmatic manner. The mandatory approach to appropriate student development indicates that the goals of equitable and high-quality inclusive education have been taken as core evaluation indicators of the provision of special education in China. Originality/Value The paper's findings indicate that future policies need to be more concrete and operational for special education to be implemented effectively.

Tourists’ Personal Development Through Participatory Consumer-Generated Content

The paper seeks to investigate key factors influencing the personal development of tourists. This study examines the relationship between participatory consumer-generated content and tourists’ capabilities, emotions, and skills, as well as the moderating effect of previous tourists’ experiences. To evaluate the research model, 301 valid responses were examined using the PLS-SEM technique. The empirical findings showed that participatory consumer-generated content positively relates to tourists’ capabilities, emotions, and skills. Moreover, previous tourists’ experiences moderate the relationships of participatory consumer-generated content with tourists’ capabilities and skills; however, previous tourists’ experiences have no moderation effect on tourists’ emotions. Thus, our paper's findings offer valuable contributions to theory and practice. Practitioners and authorities should stimulate users to share their tourism experiences and take the initiative to share easily traceable and searchable data. Moreover, businesses should implement activities that encourage tourists to share their experiences as soon as possible and make travel and tourism websites and social media platforms readily available.

Tai Chi as a Body-Mind Exercise for Promotion of Healthy Aging in Nursing Home Residents: Appropriateness, Feasibility, and Effectiveness.

The lack of activity, opportunity for providing input and participation in activities, and interaction with other people are the features of institutional living which reinforces dependency among nursing home residents. Residents are usually frustrated with paternalistic-type care. Arranging health-oriented meaningful activities for residents contributes to health promotion and enhancement of healthy aging. Moreover, it contributes to the cultivation of a positive meaning of life which is particularly important as residents reach the late geriatric stages of their lives. With exercise being seen as generally beneficial for health, Tai Chi as a Chinese-based exercise with a body-mind emphasis and unique characteristics becomes a particularly suitable exercise in aiding the residents in this major shift of lifestyle. This paper analyzes the appropriateness, feasibility, and effectiveness of Tai Chi in promoting healthy aging for residents. Theoretical considerations and scientific evaluations lend it appropriate, feasible, and effective in providing physiological and psychosocial health benefits to the residents. This paper recommends the use of Tai Chi to promote healthy aging in nursing home residents. With a rapidly aging population and mounting demand for residential geriatric care worldwide, this paper's timely findings should provide important implications for adopting Tai Chi to advance the quality of care delivered by nursing homes worldwide.

HUMAN-COMPUTER INTERACTION: ENHANCING USER EXPERIENCE IN INTERACTIVE SYSTEMS

In this research, we investigate how human-computer interaction (HCI) can be used to improve the user experience (UX) of interactive systems. Studies in cognitive psychology, information processing, and human factors are examined as they relate to the development of HCI. It highlights how HCI has shifted its focus from functionality to user-friendliness, teaching ability, efficiency, enjoyment, and emotion. To better understand the current state of HCI and UX research, practice, and theory, a systematic literature study is performed. Focusing on users' goals wants, and characteristics at every stage of the design process is central to user-centered design (UCD) ideas and approaches, which are discussed at length in this article. We investigate usability testing as a crucial technique for bettering HCI, focusing on its advantages in pinpointing usability problems, boosting system efficacy, and boosting user pleasure. Methods for creating tests, finding participants, collecting data, and analyzing results are discussed. The importance of prototype methods in HCI and user-centric design is also emphasized in the study. This article delves into the practice of creating prototypes to collect user feedback, iterate designs, and perfect interactive systems. Techniques covered include paper prototyping, interactive wireframes, and high-fidelity prototypes. We propose interaction design frameworks like the User-Centered Design Process (UCDP) and the Double Diamond model to help designers prioritize users when developing interactive systems. The study also delves into how technologies like augmented reality, virtual reality, natural language processing, machine learning, and gesture-based interfaces have revolutionized HCI in recent years. The paper defends user-centric design's place in HCI, pointing out how UX affects user happiness, participation, and output. Researchers and practitioners in HCI and software engineering can greatly benefit from this paper's findings.

How Could Deportation become Illegal Deportation? (The Case of Deportation of Myanmar Nationals by Malaysia)

February 2022; Malaysia deported more than 1000 undocumented migrants from Myanmar back to Myanmar, even though a coup d’état had already occurred in Myanmar. This paper will explore the nexus between coup d’état and well-founded fear of persecution and assess the decision by Malaysia to deport Myanmar immigrants back to Myanmar with the nonrefoulement principle. This paper's findings showed a clear nexus between a coup d’état and well-founded fear of persecution to some extent; the nexus appears when the Coup creates uncertainty in citizen's live and people in a dangerous situation. Consequently, the deportation decision by Malaysia violated the non-refoulment principle, and the deportation became illegal. This paper utilized the normative method to analyze the research problem.

Pandemics and economic turmoil in the short‐run: The role of fiscal space

AbstractWe estimate, by means of the local projection method, the short to medium‐term economic impact of previous pandemics in a sample of 170 countries during the 2000–2018 period. We find that the output effect has been significant (reaching over −2 percent after 5 years) and persistent. The impact has varied across income groups, with pandemics affecting more developed countries through a big negative impact on investment. Moreover, we explored the relevance of fiscal space in affecting the negative economic impact of pandemics. To this end, we constructed new aggregate fiscal space variables based on a principal component analysis that combined several indicators. Results suggest that the initial fiscal landscape of countries was a key ingredient in softening the economic impact of past pandemics. We believe that this paper's findings are useful to inform policymakers about what can be expected in the new normal that is following the recent COVID‐19 pandemic, particularly in a context of increasingly constrained fiscal space.

A new non-parametric hypothesis testing with reliability analysis applications to model some real data

Due to the essential necessities of current technology and contemporary sciences, a methodical approach to investigating every occurrence or action occurring in the world was required. As a result, it makes sense that such an approach would be required in the investigation of the reliability of technological systems and products. In actuality, there are instances when system parts gradually deteriorate over time t, at which point the system needs to be updated by replacing the spare parts. Although renewal tries to improve system usability, it is unable to restore the system to its prior state. We discovered that an entirely novel domain of reliability known as classes of life distributions has emerged as a result of the growth of criteria for determining the success or failure of dependability over the previous few decades. Moreover, the other nonparametric tests of life distribution lack test efficiency and have low test power. On the other hand, based on that approach, the non-parametric statistical test utilized in this study evaluates different types of treatment by examining failure behavior in the survival data that was collected. As a result, in this ivestigation, we have developed a novel test of life distribution in this study that considers the power and effectiveness of the test. In order to compare data belonging to the harmonic new better than used in expectation (HNBUE) class with data that follow an exponential distribution, this article suggests nonparametric tests for both censored and uncensored data. The higher percentile points of the test statistics are collected, and the suggested test's normality is verified. The Pitman asymptotic relative efficiency (PARE) and powers of proposed test are calculated a few well-known alternative asymmetric models. Three asymmetric real-world data sets are examined to demonstrate the paper's findings.

New R&D institution certification policy and urban innovation: evidence from China

ABSTRACT Since China entered the stage of rapid development, New R&D Institutions (NRDIs) have rapidly risen to prominence, and urban governments have responded by introducing NRDI certification policies to support their development. This paper explores the effectiveness of NRDI certification policy on urban innovation in 100 Chinese cities from 2009–2019 using a multi-phase DID model with panel data. The results showed the policy had significant driving effects on urban innovation; demonstrated that R&D cooperation mediated between the certification policy and urban innovation; and confirmed the certification policy had significantly better innovation-driven effects on eastern cities and first-tier cities in China. The paper's findings offer theoretical understandings that will advance NRDI development and improve urban innovation.

The impact of agricultural productive service on agricultural carbon efficiency—From urbanization development heterogeneity

Agricultural productive service plays an important role in China's modernization of agricultural production, and its development is closely related to urbanization. However, its effect on agricultural carbon efficiency has seldom been discussed at different stages of urbanization level. Thus, the paper investigated the relationship between agricultural productive service and agricultural carbon efficiency considering the change in urbanization level, using panel data of China's 31 provinces from 2010 to 2020. We find that agricultural productive service can promote agricultural carbon efficiency, and its promotion effect of agricultural productive service will become more powerful with the increase of urbanization level. In addition, its promotion effect is relatively powerful in China's eastern provinces, while relatively weak in central and western provinces characterized by low urbanization levels. According to the paper's findings, we propose that we should strengthen the development of agricultural productive service in breadbasket provinces and focus on the coordinated development between agricultural productive service and urbanization.

An Extreme Learning Machine Approach for Forecasting the Wholesale Price Index of Food Products in India

Precise food price forecasting is crucial for any country, and searching for appropriate approach(s) from an assortment of available strategies toward this objective is an open problem. The current Indian Wholesale Price Index (WPI) series contains sixty individual food items in the 'manufacture of food product' category. This work considered the monthly data from April 2011 to June 2022, i.e., one hundred thirty-five months' data of these sixty WPIs. The researchers extracted the linearity, curvature, and autocorrelation features for each WPI. The curvature and linearity-based grouping of these WPIs revealed that the WPIs are heterogeneous. This work proposed an extreme learning machine (ELM) approach for forecasting these WPIs. The present work employed the following twenty-two time-series forecasting techniques: six standard methods (Auto ARIMA, TSLM, SES, DES, TES, and Auto ETS), five neural networks (Auto FFNN, Auto GRNN, Auto MLP, Auto ELM, and proposed ELM), and eleven state-of-art techniques (two ARIMA-ETS based ensembles, an ARIMA-THETAF-TBATS based ensemble, one MLP, and seven LSTM-based models) to identify the best forecasting approach for these WPIs. For the majority of WPIs, the offered ELM attained suitable performance in the case of fifteen months of out-of-sample forecasting. Nearly eighty-seven percent of cases achieved high accuracy (MAPE ≤ ten) and outshined others. Upon accuracy comparison, both forecast-MAPE and forecast-RMSE, between the proposed ELM and others, this paper observed that the proposed ELM's performance is more favorable. This paper's findings imply that the proposed ELM is a promising prospect to offer accurate forecasts of these sixty WPIs.

Corporate power and democracy: A business ethical reflection and research agenda

AbstractCorporations significantly influence the public and political spheres. In light of this corporate power in society, academics have criticized the lack of legitimization (i.e., the legitimacy gap) and highlighted a potential divergence between corporate resource allocation and the needs and preferences of the public (i.e., the social issues gap). To address these problems, democratizing organizations has been proposed as a potential solution. In line with this, the authors argue that an increase in corporate power outside the economic realm should be counterbalanced by more democratic corporate governance (i.e., an internalization of democracy). While important groundwork exists, academic attention to these topics remains limited. The authors provide an overview of the literature linking corporate power and the claim for democratizing organizations, advocate for legitimization, identify research gaps, and develop a research agenda to inspire and guide future research efforts. The paper's findings suggest the importance of conceptual and empirical research on the micro‐, meso‐, and macro‐levels and the cross‐level effects, which is needed to advance this incipient research area. Future research must (1) clearly define corporate power and discuss how democratizing organizations can contribute to more legitimate organizational decisions, (2) unveil novel approaches for more democratic corporate governance, and (3) understand the organizational‐ and individual‐level factors necessary for the successful realization of democratic organizations.

Dynamic connectedness, spillover, and optimal hedging strategy among FinTech, Sukuk, and Islamic equity markets

The paper investigates the dynamic connectedness, spillover, and optimal hedging strategy of the FinTech, Sukuk, and Islamic equity markets. The CAViaR approach, TVP-VAR Frequency connectedness, and network connectedness approaches are used. We also apply the MVP, MCP, and MCoP approaches to construct portfolios based on the Fintech, Sukuk, and Islamic equity indices. We then compute hedge effectiveness, portfolio performance, and Sharpe ratios. We find that FinTech markets are predominantly intra-connected in the short and medium term; they are significantly interconnected in the long term. In terms of frequency decomposition, volatility transmission among the variables dominates in the short term in comparison with other examined durations. The Russian-Ukrainian War and COVID-19 pandemic both saw a considerable increase in the intensity of volatility transmission. There is higher information transmission from Islamic equity indices and less effective information transmission from Sukuk and Fintech indices. Our findings suggest that the dynamic portfolio weights for MCP and MCoP seem to be similar, but clearly differs from MVP approach. When delving into the existence of Fintech indices as a part of an international fixed-income Islamic investor's portfolio, our paper's findings – being robust to the portfolio construction method – establish that Fintech indices do have a notable role in fixed-income Islamic investment portfolios. Finally, we conclude by highlighting the fact that the benefits of diversifying a portfolio with FinTech and Islamic assets fluctuate with time and on a regular basis.

Government Intervention Instincts in Nepal: An Investigation Using Document Analysis

This research analyses the government intervention's instincts in Nepal with reference to document analysis. This study used many policy documents from the Nepali government that dealt with economic intervention based on purposive sampling. Analysis of the fiscal and monetary sector policy has been done. The methodology for this research paper's research was document analysis. The study paper's findings revealed that the Nepali government has been concentrating on intervening with its policies but has neglected to evaluate the impact of the intervention and how well it matched its results. The Nepali government should now concentrate on evaluating its government intervention based on the demands of the economy and the accessibility of resources. This study has also filled the geographic gap left by the other studies by using the document analysis that was not previously looked at, indicating its original contribution.

A New Biased Two-Parameter Estimator in Linear Regression Model

The most frequently used estimation technique in the linear regression model is the ordinary least squares (OLS) estimator. The presence of multicollinearity makes the technique inefficient and gives misleading results. This study proposed a new biased two-parameter estimator to deal with the multicollinearity problem. Theory and simulation results show that this estimator outperforms existing estimators considered under some conditions, according to the mean squares error (MSE) criterion. Finally, the real-life dataset illustrates the paper's findings, which agree with the theoretical and simulation results.

Going above and beyond? How parent–daycare mobile communication reconfigures the time and space dimensions of parenting

How does the use of parent–daycare mobile communication applications reconfigure the emplacement and timing of parenting? In what ways, if any, do parents’ practices challenge the distinction between warm care and cold technology? Based on 35 interviews with 18 parents, we identified 4 ways in which Aula, Denmark's parent–daycare app, reconfigures the time-space dimensions of parenting. While parents and children are apart, mobile communication via Aula allows parents to “plan ahead,” and “synchronize” expectations and schedules with those of their children and the daycare center and “look back” on their children's time away. In addition, communication via Aula enhances co-presence. Overall, this paper's findings offer an alternative to views that oppose technology and care, showing how mobile communication may reshape responsibility for childcare in the welfare state.

Can two-way foreign direct investment promote green innovation capability in manufacturing? The threshold role of intellectual property protection

Manufacturing is both an essential pillar of China's economy and a significant source of environmental pollution, and there is an urgent need for the manufacturing industry to use green innovation to accelerate its goal of sustainable development. From the intellectual property protection (IPP) perspective, this paper uses Chinese manufacturing and its 26 sub-sectors as a sample from 2003 to 2018, examining the impact of two-way foreign direct investment (FDI) coordinated development in manufacturing green innovation capability. The empirical results suggest that two-way FDI coordinated development enhances manufacturing green innovation, and this finding still holds after endogeneity and robustness tests. Under the influence of IPP, the relationship between two-way FDI coordinated development and manufacturing green innovation capability is nonlinear. Under the influence of macroscopic, mesoscopic, and microscopic dimensions IPP, the effect of two-way FDI coordinated development on manufacturing green innovation capability is U, Steps, and N shaped respectively. This paper's findings can provide empirical evidence for the government to formulate industrial development strategies and for manufacturing enterprises to improve their green innovation capabilities to achieve sustainable development.

A New Phase in Sino-Iranian Relations: 25-year Comprehensive Strategic Partnership

This paper presents Iran and China's 25-year comprehensive strategic partnership as a new stage in their relationship. The 15-year agreement's potential to strengthen Sino-Iranian relations is discussed in the paper. The goal of the paper is to investigate, in particular, Iranian perceptions of the deal and to consider how it might affect ties between Beijing and Tehran. The focus of the paper is on the analytical approach used to show how the agreement may affect the relations between the two countries. The paper's findings indicate that Iranians have two opposing views on the agreement. While some support the agreement, others criticize the government for signing it. Furthermore, the paper indicates that if the agreement is implemented, it will deepen relations between Tehran and Beijing in a variety of ways. The paper would help to broaden our understanding of regional and international relations, particularly those between Iran and China.

Effect of Different Nutrients Intake on Anaerobic Exercise

This paper explores the influence of different nutrient intakes on anaerobic exercise, focusing on activities that require short bursts of intense effort and power. The impact of nutrition on anaerobic exercise performance is a significant area of interest for athletes and fitness enthusiasts. Understanding how different nutrient intakes affect anaerobic performance can help optimize training outcomes and overall athletic success. This paper comprehensively analyzes the effects of carbohydrates, proteins, fats, vitamins, and minerals on anaerobic exercise performance. It provides evidence-based recommendations to enhance anaerobic performance, inform training strategies, and optimize nutrient intake for individuals engaged in high-intensity activities. Adequate carbohydrate intake supports high-intensity efforts, while protein intake aids muscle repair and growth. Healthy fat consumption provides supplemental energy during prolonged activities. Vitamins and minerals play crucial roles in energy metabolism and muscle function. Strategic nutrient intake before, during, and after anaerobic exercise can maximize performance potential and overall anaerobic capacity. Further research can explore personalized nutrient recommendations based on individual athlete profiles and specific anaerobic exercise goals. This paper's findings contribute valuable insights to the fields of sports nutrition and exercise science, assisting athletes, trainers, and coaches in optimizing dietary choices and enhancing anaerobic exercise performance.

Analysis of O2O E-commerce Models - Taking Meituan and Ubereats as Examples

With the advent of the commercial Internet came the birth of the e-commerce industry, and with the proliferation of mobile Internet came the rise of O2O e-commerce. Emerging and quickly entering a phase of vicious competition in terms of subsidies is China's O2O local lifestyle service industry. This thesis takes the O2O e-commerce model of the local life service industry as its research object, uses the revised O2O value system model to analyze the Meituan O2O e-commerce model in depth, and compares it to Ubereats, a typical representative of the C2C business model, in order to identify the problems and put forward corresponding development suggestions, using the basic theories of marketing management, management, and e-commerce. Meituan's success can be attributed in large part to the company's innovative business model, which has given the company a leg up in the market and contributed to the company's distinctive core competitiveness. This paper's findings have important implications for the evolution of the e-commerce sector in the Internet age, the development of new business models for corporations, and the modernization of entire industries.