Predicting the voluntary donation to online content creators

2020 ◽  
Vol 120 (10) ◽  
pp. 1941-1957
Author(s):  
Futao Zhao ◽  
Zhong Yao
Keyword(s):  
Prediction Model ◽  
Performance Metrics ◽  
Impact Factors ◽  
Real World Data ◽  
Data Set ◽  
Content Type ◽  
Modal Particles ◽  
Interpretive Analysis ◽  
Text Content ◽  
The Impact

PurposeThe purpose of this paper is to identify the impact factors that might influence audiences' voluntary donation to content creators on the online platforms, and to build an effective prediction model by considering both content and creator-related features.Design/methodology/approachThis study collected the real-world data of content consumption from Xueqiu.com and extracted both content and creator characteristics from the data set. The best donation prediction model based on such features was determined by evaluating four prevalent classifiers with various performance metrics. Furthermore, three feature selection methods were applied to validate the robustness of the constructed model, and then the predictability of different feature groups was examined. Finally, we conducted an interpretive analysis to identify relatively important predictors.FindingsThe experimental results show that the random classifier with all extracted features outperformed other built models and achieved excellent performance, indicating the usefulness of these factors in predicting the donations. Moreover, the predictability of content features was demonstrated to be relatively better than that of creator ones. Finally, several particularly important predictors were identified such as the number of modal particles in the article.Originality/valueThis study is among the first to investigate what factors might drive customers' voluntary donation to content contributors on social websites. Different from previous studies focusing on live video streaming, we expand the research vision by examining the donations to user-generated text content, calling for attention to other important topics in the burgeoning industry.

Increasing revenue and attendance in Canadian Baptist churches

2015 ◽  
Vol 42 (12) ◽  
pp. 1071-1089
Author(s):  
Alan Chan ◽  
Bruce G. Fawcett ◽  
Shu-Kam Lee
Keyword(s):  
Church Health ◽  
Eastern Canada ◽  
Data Set ◽  
Content Type ◽  
Factors Affecting ◽  
Scarce Resources ◽  
Baptist Churches ◽  
And Performance ◽  
The Impact ◽  
Simulation Exercises

Purpose – Church giving and attendance are two important indicators of church health and performance. In the literature, they are usually understood to be simultaneously determined. The purpose of this paper is to estimate if there a sustainable church congregation size using Wintrobe’s (1998) dictatorship model. The authors want to examine the impact of youth and adult ministry as well. Design/methodology/approach – Using the data collected from among Canadian Baptist churches in Eastern Canada, this study investigates the factors affecting the level of the two indicators by the panel-instrumental variable technique. Applying Wintrobe’s (1998) political economy model on dictatorship, the equilibrium level of worship attendance and giving is predicted. Findings – Through various simulation exercises, the actual church congregation sizes is approximately 50 percent of the predicted value, implying inefficiency and misallocation of church resources. The paper concludes with insights on effective ways church leaders can allocate scarce resources to promote growth within churches. Originality/value – The authors are the only researchers getting the permission from the Atlantic Canada Baptist Convention to use their mega data set on church giving and congregation sizes as per the authors’ knowledge. The authors are also applying a theoretical model on dictatorship to religious/not for profits organizations.

The impact of organizational position level and cultural flow direction on the relationship between cultural intelligence and expatriate cross-border adaptation

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Ying Zhang ◽  
Yuran Li ◽  
Mark Frost ◽  
Shiyu Rong ◽  
Rong Jiang ◽  
...  
Keyword(s):  
Cultural Intelligence ◽  
Flow Direction ◽  
Power Distance ◽  
Cultural Adjustment ◽  
Data Set ◽  
Content Type ◽  
Cross Border ◽  
Organizational Position ◽  
The Impact ◽  
The Relationship

PurposeThis paper aims to examine the critical role played by cultural flow in fostering successful expatriate cross-border transitions.Design/methodology/approachThe authors develop and test a model on the interplay among cultural intelligence, organizational position level, cultural flow direction and expatriate adaptation, using a data set of 387 expatriate on cross-border transitions along the Belt & Road area.FindingsThe authors find that both organizational position level and cultural flow moderate the relationship between cultural intelligence and expatriate adaptation, whereby the relationship is contingent on the interaction of organizational position status and assignment directions between high power distance and low power distance host environments.Originality/valuePrevious research has shown that higher levels of cultural intelligence are positively related to better expatriate adaptation. However, there is a lack of research on the effect of position difference and cultural flow on such relationship. Our study is among the first to examine how the interaction between cultural flow and organizational position level influences the cultural intelligence (CI) and cultural adjustment relationship in cross-cultural transitions.

Exploring the impact of intellectual capital on company reputation and performance

2018 ◽  
Vol 19 (5) ◽  
pp. 915-934 ◽  
Author(s):  
Gianluca Ginesti ◽  
Adele Caldarelli ◽  
Annamaria Zampella
Keyword(s):  
Human Capital ◽  
Intellectual Capital ◽  
Corporate Reputation ◽  
Intangible Asset ◽  
Competition Authority ◽  
Data Set ◽  
Content Type ◽  
Capital Efficiency ◽  
And Performance ◽  
The Impact

Purpose The purpose of this paper is to analyse the impact of intellectual capital (IC) on the reputation and performance of Italian companies. Design/methodology/approach The paper exploits a unique data set of 452 non-listed companies that obtained a reputational assessment from the Italian Competition Authority (ICA). To test the hypotheses, this study implemented several regression analyses. Findings Results support the argument that human capital efficiency is a key driver of corporate reputation. Findings also reveal that companies, which obtained reputational rating under ICA scrutiny, show a positive relationship between IC elements and various measures of financial performance. Research limitations/implications The study focuses on a single country; it is not free from the imprecisions of Pulic’s VAIC model. Practical implications This paper recommends companies that are interested to achieve a robust reputation should consider the human capital as a strategic intangible asset. Second, the results suggest that companies with an ICA reputational rating are able to leverage their intangibles to potentiate performance and competitiveness. Originality/value This is the first empirical investigation on the contribution of IC in generating value for corporate reputation. Additionally, the study contributes to the literature on the link between IC and performance by examining a sample of firms not yet explored in prior research.

Rapid video assessment for monitoring testing facility fraud

2018 ◽  
Vol 35 (8) ◽  
pp. 1508-1518
Author(s):  
Rosembergue Pereira Souza ◽  
Luiz Fernando Rust da Costa Carmo ◽  
Luci Pirmez
Keyword(s):  
Processing Time ◽  
Threshold Value ◽  
Real World Data ◽  
Data Set ◽  
Content Type ◽  
Video Assessment ◽  
Technical Requirements ◽  
Testing Facility ◽  
Rapid Processing ◽  
Temporal Differencing

Purpose The purpose of this paper is to present a procedure for finding unusual patterns in accredited tests using a rapid processing method for analyzing video records. The procedure uses the temporal differencing technique for object tracking and considers only frames not identified as statistically redundant. Design/methodology/approach An accreditation organization is responsible for accrediting facilities to undertake testing and calibration activities. Periodically, such organizations evaluate accredited testing facilities. These evaluations could use video records and photographs of the tests performed by the facility to judge their conformity to technical requirements. To validate the proposed procedure, a real-world data set with video records from accredited testing facilities in the field of vehicle safety in Brazil was used. The processing time of this proposed procedure was compared with the time needed to process the video records in a traditional fashion. Findings With an appropriate threshold value, the proposed procedure could successfully identify video records of fraudulent services. Processing time was faster than when a traditional method was employed. Originality/value Manually evaluating video records is time consuming and tedious. This paper proposes a procedure to rapidly find unusual patterns in videos of accredited tests with a minimum of manual effort.

Social impact of major sports events perceived by host community

2016 ◽  
Vol 17 (1) ◽  
pp. 78-91 ◽  
Author(s):  
Dongfeng Liu
Keyword(s):  
Social Impact ◽  
Host Community ◽  
Impact Factors ◽  
International Exchange ◽  
Infrastructure Development ◽  
Content Type ◽  
Sports Events ◽  
The Social ◽  
Local Residents ◽  
The Impact

Purpose – The purpose of this paper is to examine the social impact of major sports events perceived by host city residents using Shanghai as an example. Design/methodology/approach – Exploratory factor analysis based on 450 valid questionnaires. Findings – Research revealed six impact factors including four positive ones: “image and status,” “international exchange and cooperation,” “economic and tourism development,” and “infrastructure development.” In addition, two negative ones are also identified as “inconvenience of life” and “environment pollution and security concern.” Taken as a whole, the local residents in Shanghai have a relative positive perception of the impact of major sports events. Four out of six impact factors were significantly predictive of the attitude toward future bidding of major sports events. Originality/value – The existing literature mainly examined social impact of specific events through case study, and little is known about the overall perception of major sports events in general. Accordingly, this paper seeks to bridge the gap by taking an event portfolio approach using Shanghai as an example.

Capital and credit constraints in the engagement of youth in Ghanaian agriculture

2019 ◽  
Vol 80 (1) ◽  
pp. 22-37 ◽  
Author(s):  
Martinson Ankrah Twumasi ◽  
Yuansheng Jiang ◽  
Monica Owusu Acheampong
Keyword(s):  
Positive Impact ◽  
Credit Constraints ◽  
Rural Youth ◽  
Unique Contribution ◽  
Switching Regression ◽  
Credit Constraint ◽  
Data Set ◽  
Content Type ◽  
Application Procedure ◽  
The Impact

Purpose The purpose of this paper is to determine the factors influencing rural youth farmers’ credit constraints status and the effect of credit constraint on the intensity of participation of these farmers in Ghana. Design/methodology/approach The econometric estimation is based on cross-sectional data collected in 2018 from the Brong Ahafo region in Ghana. The sample data set consists of 450 rural youth farmers. The collected data were analyzed through different econometric techniques, using the endogenous switching regression model (ERSM). Findings The direct elicitation approach employed in this study revealed that out of the 450 farmers, 211 (47 percent) of the respondents were credit constrained compared to 239 (53 percent) of their counterparts who were unconstrained. The ERSM indicated that youth farmers education, age, savings, parents occupation reduced the probability of the rural youth farmer to be credit constrained but cumbersome loan application procedure and loan disbursement time positively affect credit constraint. Moreover, farmers that are credit constrained have lower intensity of participation in agriculture activities than a random farmer from the sample. This suggests that access to credit has a positive impact on the intensity of participation in agriculture activities. Research limitations/implications In this study, only rural youth farmers in a particular region were considered. However, there are youths all over the nation. Therefore, future researchers could consider other youth’s farmers elsewhere in the country. Originality/value Although existing studies have examined rural youth farmers’ participation in agriculture and credit constraint separately, the unique contribution of this paper is the analysis of credit constraint of rural youth farmers as well as the impact of credit constraint on the intensity of participation in agriculture activities.

Journal influence in corporate research

2016 ◽  
Vol 42 (4) ◽  
pp. 376-389 ◽  
Author(s):  
Kenneth Borokhovich ◽  
Allissa Lee ◽  
Betty Simkins
Keyword(s):  
Social Sciences ◽  
Corporate Finance ◽  
Relative Influence ◽  
Impact Factors ◽  
Content Type ◽  
Journal Citation Reports ◽  
The Social ◽  
Total Influence ◽  
The Impact

Purpose – Studies of research influence commonly look at the overall field of finance. The purpose of this paper is to examine the sub-field of corporate finance at four different points in time to determine its evolution and range of influence, specifically focussing on the relative influence of seven leading journals. Design/methodology/approach – Not all articles appearing in the set of journals are in corporate finance. The authors examine each article published in the journals for four key periods and identify those that are corporate. The impact factors (IFs) published in the Journal Citation Reports (JCR) are for all articles appearing in a journal. The authors are interested only in the corporate articles, so the authors calculate separate corporate IFs based on the citations to the corporate articles using the JCR technique. Findings – The authors find a broad corporate research environment with influence that extends well beyond finance. The authors also find differences in the relative influence of the journals not only in their total influence, but in where the influence occurs outside finance and other business journals and even more broadly in the social sciences. Research limitations/implications – The exclusion of journals outside the seven selected may not uncover other areas where corporate finance articles impact research more broadly. Also, classification of articles is inherently subjective. Practical implications – The authors draw comparisons between journals and corporate finance topic areas; indicating the breadth and depth research in these areas attain. These results should prove beneficial to researchers in determining areas of influence for their work, consequently providing opportunities for additional exchanges of ideas resulting in better and more informed research in the overall social sciences. Further, our approach to analyzing journal influence could prove fruitful for additional research. Originality/value – The findings allow for a greater understanding of the influence of individual journals and their subsequent rankings by a number of different means. The authors propose that the means and measures employed here can lead to a greater understanding of how influential a journal really is. Further, the authors contend that the study provides comparisons of the scope and depth of influence for each journal in a way that could lead to new avenues of research.

scholarly journals Credit composition and income inequality in Vietnam: an empirical analysis

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Le Quoc Hoi ◽  
Hương Lan Trần
Keyword(s):  
Income Inequality ◽  
Educational Level ◽  
Generalized Method Of Moments ◽  
Institutional Quality ◽  
Primary Data ◽  
Data Set ◽  
Content Type ◽  
Private Credit ◽  
The Impact

PurposeThis paper aims to examine the credit composition and income inequality reduction in Vietnam. In particular, the authors focus on the distinction between policy and commercial credits and investigate whether these two types of credit had adverse effects on income inequality. The authors also examine whether the impact of policy credit on income inequality is conditioned by the educational level and institutional quality.Design/methodology/approachThe authors use the primary data set, which contains a panel of 60 provinces collected from the General Statistics Office of Vietnam from 2002 to 2016. The authors employ the generalized method of moments to solve the endogenous problem.FindingsThe authors show that while commercial credit increases income inequality, policy credit contributes to reducing income inequality in Vietnam. In addition, we provide evidence that the institutional quality and educational level condition the impact of policy credit on income inequality. Based on the findings, the paper implies that it was not the size of the private credit but its composition that mattered in reducing income inequality, due to the asymmetric effects of different types of credit.Originality/valueThis is the first study that examines the links between the two components of credit and income inequality as well as constraints of the links. The authors argue that analyzing the separate effects of commercial and policy credits is more important for explaining the role of credit in income inequality than the size of total credit.

scholarly journals Revenue diversification and financial sustainability of microfinance institutions

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Peter Nderitu Githaiga
Keyword(s):  
Generalized Method Of Moments ◽  
Financial Sustainability ◽  
Microfinance Institutions ◽  
Revenue Diversification ◽  
Estimation Model ◽  
Data Set ◽  
Content Type ◽  
Method Of Moments Estimation ◽  
The Impact ◽  
Positive Effect

PurposeThis paper aims to investigate whether revenue diversification affects the financial sustainability of microfinance institutions (MFIs).Design/methodology/approachThe study uses a worldwide panel data set of 443 MFIs in 108 countries for the period 2013–2018 and two-step system Generalized Method of Moments estimation model.FindingsThe study finds that revenue diversification has a significant and positive effect on the financial sustainability of MFIs.Practical implicationsThe findings of this study actually offer important managerial and policy lessons on MFIs’ financial sustainability. Microfinance managers and policymakers should consider revenue diversification as a strategy through which MFIs can attain financial sustainability instead of overreliance on donations and government subsidiesOriginality/valueUnlike previous studies that examined revenue diversification in the context of banking firms, this study contributes to literature by examining the impact of revenue diversification of the financial sustainability of MFIs.

scholarly journals Examining partial proportional odds model in analyzing severity of high-speed railway accident

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Jing Wang ◽  
Yinghan Wang ◽  
Yichuan Peng ◽  
Jian John Lu
Keyword(s):  
High Speed ◽  
Proportional Odds Model ◽  
Impact Factors ◽  
Proportional Odds ◽  
High Speed Railway ◽  
Severity Level ◽  
Content Type ◽  
Factors Affecting ◽  
Partial Proportional Odds Model ◽  
The Impact

Purpose The operation safety of the high-speed railway has been widely concerned. Due to the joint influence of the environment, equipment, personnel and other factors, accidents are inevitable in the operation process. However, few studies focused on identifying contributing factors affecting the severity of high-speed railway accidents because of the difficulty in obtaining field data. This study aims to investigate the impact factors affecting the severity of the general high-speed railway. Design/methodology/approach A total of 14 potential factors were examined from 475 data. The severity level is categorized into four levels by delay time and the number of subsequent trains that are affected by the accident. The partial proportional odds model was constructed to relax the constraint of the parallel line assumption. Findings The results show that 10 factors are found to significantly affect accident severity. Moreover, the factors including automation train protection (ATP) system fault, platform screen door and train door fault, traction converter fault and railway clearance intrusion by objects have an effect on reducing the severity level. On the contrary, the accidents caused by objects hanging on the catenary, pantograph fault, passenger misconducting or sudden illness, personnel intrusion of railway clearance, driving on heavy rain or snow and train collision against objects tend to be more severe. Originality/value The research results are very useful for mitigating the consequences of high-speed rail accidents.

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