Characterizing peer-judged answer quality on academic Q&A sites

2018 ◽  
Vol 70 (3) ◽  
pp. 269-287 ◽  
Author(s):  
Lei Li ◽  
Daqing He ◽  
Chengzhi Zhang ◽  
Li Geng ◽  
Ke Zhang
Keyword(s):  
Design Methodology ◽  
Specific Information ◽  
High Quality ◽  
Content Type ◽  
Social Question ◽  
History Of Art ◽  
History Of ◽  
Answer Quality ◽  
The Impact

Purpose Academic social (question and answer) Q&A sites are now utilised by millions of scholars and researchers for seeking and sharing discipline-specific information. However, little is known about the factors that can affect their votes on the quality of an answer, nor how the discipline might influence these factors. The paper aims to discuss this issue. Design/methodology/approach Using 1,021 answers collected over three disciplines (library and information services, history of art, and astrophysics) in ResearchGate, statistical analysis is performed to identify the characteristics of high-quality academic answers, and comparisons were made across the three disciplines. In particular, two major categories of characteristics of the answer provider and answer content were extracted and examined. Findings The results reveal that high-quality answers on academic social Q&A sites tend to possess two characteristics: first, they are provided by scholars with higher academic reputations (e.g. more followers, etc.); and second, they provide objective information (e.g. longer answer with fewer subjective opinions). However, the impact of these factors varies across disciplines, e.g., objectivity is more favourable in physics than in other disciplines. Originality/value The study is envisioned to help academic Q&A sites to select and recommend high-quality answers across different disciplines, especially in a cold-start scenario where the answer has not received enough judgements from peers.

Factors influencing the importance of criteria for judging answer quality on academic social Q&A platforms

2020 ◽  
Vol 72 (6) ◽  
pp. 887-907
Author(s):  
Lei Li ◽  
Chengzhi Zhang ◽  
Daqing He
Keyword(s):  
Social Networking Sites ◽  
Information Seeking ◽  
Design Methodology ◽  
High Quality ◽  
Content Type ◽  
Factors Affecting ◽  
Importance Ratings ◽  
Academic Information ◽  
Answer Quality

PurposeWith the growth in popularity of academic social networking sites, evaluating the quality of the academic information they contain has become increasingly important. Users' evaluations of this are based on predefined criteria, with external factors affecting how important these are seen to be. As few studies on these influences exist, this research explores the factors affecting the importance of criteria used for judging high-quality answers on academic social Q&A sites.Design/methodology/approachScholars who had recommended answers on ResearchGate Q&A were asked to complete a questionnaire survey to rate the importance of various criteria for evaluating the quality of these answers. Statistical analysis methods were used to analyze the data from 215 questionnaires to establish the influence of scholars' demographic characteristics, the question types, the discipline and the combination of these factors on the importance of each evaluation criterion.FindingsParticular disciplines and academic positions had a significant impact on the importance ratings of the criteria of relevance, completeness and credibility. Also, some combinations of factors had a significant impact: for example, older scholars tended to view verifiability as more important to the quality of answers to information-seeking questions than to discussion-seeking questions within the LIS and Art disciplines.Originality/valueThis research can help academic social Q&A platforms recommend high-quality answers based on different influencing factors, in order to meet the needs of scholars more effectively.

Market overreaction, firm-specific information and macroeconomic variables in US and Chinese markets during COVID-19

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Ooi Kok Loang ◽  
Zamri Ahmad
Keyword(s):  
Unemployment Rate ◽  
Stock Return ◽  
Design Methodology ◽  
Specific Information ◽  
Content Type ◽  
Macroeconomic Variables ◽  
Real Gdp ◽  
Chinese Markets ◽  
The Impact ◽  
Loser Portfolio

PurposeThis study examines the impact of firm-specific information and macroeconomic variables on market overreaction of US and Chinese winner and loser portfolio before and during COVID-19.Design/methodology/approachThe firm-specific information includes firm size, volume, volatility, return of asset (ROA), return of equity (ROE), earning per share (EPS) and quick ratio while the macroeconomic variables are export rate, import rate, real GDP, nominal GDP, FDI, IPI and unemployment rate. Besides, one-third of the top performance stocks are categorized as winner portfolio while one-third of lowest performance stocks are categorized as loser portfolio. This study uses AECR to indicate stock return and measure market overreaction. GAECR is used to determine contrarian profit. The data range of pre-COVID-19 is from 1-Jan-2015 to 31-Dec-2019 while the period of COVID-19 is from 1-Jan-2020 to 31-Dec-2020.FindingsIn pre-COVID-19, firm-specific information (volatility, ROA, ROE and EPS) and macroeconomic variables are found to be correlated to stock return in US and Chinese portfolios except Chinese winner portfolio. Nonetheless, the impact of firm-specific information has vanished and macroeconomic variables are significant to stock return in COVID-19. It shows that investors rely on the economic indicators to trade in turbulent period due to emergence of COVID-19 as a disruption in market. Furthermore, US and Chinese portfolios are overreacted during COVID-19. Chinese loser portfolio has higher tendency of overreaction than US loser portfolio while US winner portfolio has higher tendency of overreaction than Chinese winner portfolio.Originality/valueThe results of this study assists academician, practitioners and investors on understanding and create awareness to the existence of market overreaction and the determinants that can cause the phenomenon.

Researchers' judgment criteria of high-quality answers on academic social Q&A platforms

2020 ◽  
Vol 44 (3) ◽  
pp. 603-623 ◽  
Author(s):  
Lei Li ◽  
Chengzhi Zhang ◽  
Daqing He ◽  
Jia Tina Du
Keyword(s):  
Design Methodology ◽  
Information Science ◽  
Value Added ◽  
Quality Criteria ◽  
Social Networking Site ◽  
Library And Information Science ◽  
High Quality ◽  
Content Type ◽  
Second Stage

PurposeThrough a two-stage survey, this paper examines how researchers judge the quality of answers on ResearchGate Q&A, an academic social networking site.Design/methodology/approachIn the first-stage survey, 15 researchers from Library and Information Science (LIS) judged the quality of 157 answers to 15 questions and reported the criteria that they had used. The content of their reports was analyzed, and the results were merged with relevant criteria from the literature to form the second-stage survey questionnaire. This questionnaire was then completed by researchers recognized as accomplished at identifying high-quality LIS answers on ResearchGate Q&A.FindingsMost of the identified quality criteria for academic answers—such as relevance, completeness, and verifiability—have previously been found applicable to generic answers. The authors also found other criteria, such as comprehensiveness, the answerer's scholarship, and value-added. Providing opinions was found to be the most important criterion, followed by completeness and value-added.Originality/valueThe findings here show the importance of studying the quality of answers on academic social Q&A platforms and reveal unique considerations for the design of such systems.

scholarly journals An Adaptive Bitrate Switching Algorithm for Speech Applications in Context of WebRTC

2021 ◽  
Vol 17 (4) ◽  
pp. 1-21
Author(s):  
Mohannad Alahmadi ◽  
Peter Pocta ◽  
Hugh Melvin
Keyword(s):  
Real Time ◽  
Data Exchange ◽  
Quality Of Experience ◽  
End User ◽  
High Quality ◽  
Content Type ◽  
Switching Algorithm ◽  
Wide Range ◽  
The Impact

Web Real-Time Communication (WebRTC) combines a set of standards and technologies to enable high-quality audio, video, and auxiliary data exchange in web browsers and mobile applications. It enables peer-to-peer multimedia sessions over IP networks without the need for additional plugins. The Opus codec, which is deployed as the default audio codec for speech and music streaming in WebRTC, supports a wide range of bitrates. This range of bitrates covers narrowband, wideband, and super-wideband up to fullband bandwidths. Users of IP-based telephony always demand high-quality audio. In addition to users’ expectation, their emotional state, content type, and many other psychological factors; network quality of service; and distortions introduced at the end terminals could determine their quality of experience. To measure the quality experienced by the end user for voice transmission service, the E-model standardized in the ITU-T Rec. G.107 (a narrowband version), ITU-T Rec. G.107.1 (a wideband version), and the most recent ITU-T Rec. G.107.2 extension for the super-wideband E-model can be used. In this work, we present a quality of experience model built on the E-model to measure the impact of coding and packet loss to assess the quality perceived by the end user in WebRTC speech applications. Based on the computed Mean Opinion Score, a real-time adaptive codec parameter switching mechanism is used to switch to the most optimum codec bitrate under the present network conditions. We present the evaluation results to show the effectiveness of the proposed approach when compared with the default codec configuration in WebRTC.

The impact of employer-delayed deposits on plan participant wealth

2016 ◽  
Vol 42 (12) ◽  
pp. 1171-1179
Author(s):  
Jeffrey Scott Jones
Keyword(s):  
Design Methodology ◽  
Defined Contribution ◽  
Regulatory Oversight ◽  
Content Type ◽  
Defined Contribution Plans ◽  
Economic Significance ◽  
History Of ◽  
Defined Contribution Plan ◽  
The Impact ◽  
Primary Contribution

Purpose The purpose of this paper is to examine the impact of employer-delayed deposits to defined contribution plans on plan participant wealth. The history of regulatory oversight on the obligations of employers to remit deposits to defined contribution plans on behalf of employees is discussed. In light of these regulations, the paper discusses and examines situations in which employers may legally delay the deposit of employee contributions to a defined contribution plan and how the existence of various calendar anomalies may impact the returns of plan participants. Design/methodology/approach Simulated equity portfolios over the period 1985-2014 are created to determine the economic significance of possible delays in plan deposits on the accumulated wealth of plan participants. Findings The findings suggest that in situations where employees are paid monthly at the end of the month, it is always to their benefit to have their funds deposited as soon as possible. However, for employees paid weekly at the end of the week, a slight delay (one to three days) in the deposit of funds by the employer may actually be beneficial for the employee, particularly if the employee invests heavily in small and mid-cap stocks. Originality/value This is the first paper to explicitly study the impact of an employer’s timing of deposits to a defined contribution plan on the accumulated wealth of plan participants, and is thus the primary contribution of the paper.

Impact of AI regulation on intention to use robots

2019 ◽  
Vol 8 (2) ◽  
pp. 97-114
Author(s):  
Sheshadri Chatterjee
Keyword(s):  
Quality Of Life ◽  
Artificial Intelligence ◽  
Design Methodology ◽  
Regulatory Control ◽  
Control Beliefs ◽  
Intention To Use ◽  
Content Type ◽  
And Control ◽  
The Impact

Purpose The purpose of this paper is to identify the factors influencing the citizens to use robots that would improve the quality of life of the citizens. Design/methodology/approach With the help of different adoption theories and models and with the support of background studies, some hypotheses have been formulated and a conceptual model has been developed with the consideration of the impact of artificial intelligence regulation (IAR) that controls the use of robots as a moderator. The model has been validated and the hypotheses have been tested by statistical analysis with the help of survey works involving consideration of feedbacks from 503 usable respondents. Findings The study reveals that the use of robots by the citizens would appreciably increase if government imposes strict artificial intelligence (AI) regulatory control concerning the use of robots, and in that case, it appears that the use of robots would improve the quality of life of the citizens. Research limitations/implications The duly validated model would help the authority to appropriately nurse and nurture the factors such as ethical dilemma, perceived risks and control beliefs for enhancing the intention of the citizens to use robots for many purposes including domestic usage in the context of appropriate restrictions imposed through AI regulation. Such use of robots would eventually improve the quality of life. Originality/value There are a few studies covering analysis of IAR as a moderator on the linkages of the predictors with the intention of the citizens to use robots. In this context, this study is claimed to have offered a novel contribution.

scholarly journals Do mergers and acquisitions affect information asymmetry in the banking sector?

2020 ◽  
Vol 46 (12) ◽  
pp. 1521-1547
Author(s):  
John S. Howe ◽  
Thibaut G. Morillon
Keyword(s):  
Mergers And Acquisitions ◽  
Information Asymmetry ◽  
Design Methodology ◽  
Banking Sector ◽  
Policy Makers ◽  
Content Type ◽  
Deal Completion ◽  
Asymmetry Measures ◽  
The Impact

PurposeThis paper aims to investigate the consequences of mergers and acquisitions (M&As) on information asymmetry in the banking sector. Specifically, the authors look at whether specific firm or deal characteristic influence information asymmetry levels between insiders and investors, as well as the impact of recent regulation such as the Dodd–Frank Act.Design/methodology/approachThe authors decompose the M&A process into three periods (pre-announcement, negotiation and post-completion period) and document changes in the information asymmetry levels between insiders and investors through the M&A process. The authors capture changes in information asymmetry using six different spread-based information asymmetry measures.FindingsThe authors find evidence that information asymmetry increases following M&A announcement and decreases following deal completion. These findings are more pronounced for acquisitions involving a private target, all-cash deals and for mergers, as opposed to acquisition of assets. We find that overall, successful mergers improve the quality of the information environment, while failed deals degrade it. Additionally, the enactment of Dodd–Frank reduced the magnitude of the changes in information asymmetry during the M&A process. The results are important to regulators, policy makers and investors.Originality/valueTo authors’ knowledge, this is the first study that looks at the effect of bank M&As on information asymmetry as well as the effect of regulations on information asymmetry.

scholarly journals Commentary on “Thinking differently? Autism and quality of life”

2019 ◽  
Vol 24 (2) ◽  
pp. 77-81 ◽  
Author(s):  
Krysia Emily Waldock
Keyword(s):  
Quality Of Life ◽  
Learning Disability ◽  
Participatory Research ◽  
Design Methodology ◽  
Life Experience ◽  
Content Type ◽  
Autistic People ◽  
Thinking Differently ◽  
The Impact

Purpose The purpose of this paper is to describe the possible impact of normalisation on the perceptions of quality of life (QoL) and the impact of this association on the research to date. This commentary reflects on the implications of limiting QoL research to autistic people who are perceived to be “more able”. Design/methodology/approach This commentary discusses the implications of undertaking QoL research in the field of autism. Findings This commentary argues for further consideration of the autistic voice in QoL research. Researcher epistemology and life experience, including experience of autistic people, is examined in terms of how QoL might be perceived and attributed. Further participatory research in the field of quality of life of autistic people, including those with a learning disability and engagement with a variety of autistic people, is called for. Originality/value This commentary suggests that the existing definitions of QoL, founded on principles of normalisation, may not be completely applicable to autistic people, and that new ways of both defining and measuring QoL might be needed.

Personal social services for children and families in the UK: a historical review

2017 ◽  
Vol 12 (2-3) ◽  
pp. 72-84 ◽  
Author(s):  
Roger Bullock ◽  
Roy Parker
Keyword(s):  
Social Services ◽  
Design Methodology ◽  
Historical Review ◽  
Children And Families ◽  
Policy And Practice ◽  
Content Type ◽  
History Of ◽  
The Uk ◽  
Political Economic ◽  
The Impact

Purpose The purpose of this paper is to chart the history of personal social services for children and families in the UK and examine the factors that have influenced it. Special attention is given to changing perceptions of rights, the impact of scandals and the contribution of child development research. Design/methodology/approach Analysis of historical documents and research reports using four methods: a timeline of milestones, demarcation of distinct developmental periods, trends in policy and practice and comparisons of children’s needs and experiences at different times. Findings The evolution of services has not been linear. In policy, there have been reform and retrenchment, amalgamation and differentiation. Practice has been shaped by the emergence of new problems and the disappearance of old ones as well as by legislation, extreme events, research and finance, all occurring in specific political, moral and economic contexts. Originality/value An analysis of developments in children’s services in their political, economic, moral and research contexts.

How lifecycle influences capabilities and their development

2015 ◽  
Vol 8 (1) ◽  
pp. 133-153 ◽  
Author(s):  
Mait Rungi
Keyword(s):  
Design Methodology ◽  
Specific Information ◽  
Small Country ◽  
Capability Development ◽  
Content Type ◽  
Abstract Level ◽  
The Right ◽  
Practical Implications

Purpose – Capabilities are a widely researched subject, but capability development techniques have received considerably less attention. Capability development is a long-term activity, where both how to choose “the right capabilities” and how to develop “the capabilities right” are important. The purpose of this paper is to approach to pick up the most widespread capabilities and development techniques in project-companies, and observes their shift of focus when moving from one lifecycle stage to another. Design/methodology/approach – A long-scale survey was chosen and carried out in EU member state Estonia in 2011, resulting with close to a couple of 100 responses. Findings – The quality of most business capabilities decreases in reaching the decline stage of the lifecycle, but project-related capabilities are improving. The same cannot be concluded for project-led capability development techniques, as they decline, and the quality of traditional and business-led capability techniques are improving. The use of development techniques changes less throughout lifecycle stages than capabilities do – it is not so important how companies develop capabilities, capabilities themselves matter. Research limitations/implications – Survey was performed in a small country which limits the generalizability to larger countries. Practical implications – Capabilities and their development techniques are very much practice-oriented, especially development techniques. However, research indicates that it is more important to choose the right capabilities and worry less about their development-specific issues. Originality/value – Results provide lifecycle-specific information which capabilities and their development techniques prevail at what stage of companies’ lifecycle. Thus far, learning, as the most important technique, has received the most attention, other techniques less – this research gives further information about a wider array of the techniques. Furthermore, the prior research was concentrated on a few specific capabilities or capabilities at an abstract level, this research focuses on a comprehensive set of capabilities.

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