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Community question answering (CQA) websites provide an open and free way to share knowledge about general topics on the internet. However, inquirers may not obtain useful answers and those who are qualified to provide answers may also miss opportunities to share their expertise without any notice. To address this problem, the purpose of this paper is to provide the means for inquirers to access archived answers and to identify effective subject matter experts for target questions.

This paper presents a question answering promoter, called QAP, for the CQA services. The proposed QAP facilitates the use of filtered archived answers regarded as explicit knowledge and recommended experts regarded as sources of implicit knowledge for the given target questions.

The experimental results indicate that QAP can leverage knowledge sharing by refining archived answers upon creditability and distributing raised questions to qualified potential experts.

This proposed method is designed for the traditional Chinese corpus.

This paper proposed an integrated framework of answer selection and expert finding uses the bottom-up multipath evaluation algorithm, an underlying voting model, the agglomerative hierarchical clustering technique and feature approaches of answer trustworthiness measuring, identification of satisfied learners and credibility of repliers. The experiments using the corpus crawled from Yahoo! Knowledge Plus under designed scenarios are conducted and results are shown in fine details.

This paper aims to make it convenient for those who have only just begun their research into Community Question Answering (CQA) expert recommendation, and for those who are already concerned with this issue, to ease the extension of our understanding with future research.

In this paper, keywords such as “CQA”, “Social Question Answering”, “expert recommendation”, “question routing” and “expert finding” are used to search major digital libraries. The final sample includes a list of 83 relevant articles authored in academia as well as industry that have been published from January 1, 2008 to March 1, 2019.

This study proposes a comprehensive framework to categorize extant studies into three broad areas of CQA expert recommendation research: understanding profile modeling, recommendation approaches and recommendation system impacts.

This paper focuses on discussing and sorting out the key research issues from these three research genres. Finally, it was found that conflicting and contradictory research results and research gaps in the existing research, and then put forward the urgent research topics.

This study reviews the methods found in the literature for the ranking of authors, identifies the pros and cons of these methods, discusses and compares these methods. The purpose of this paper is to study is to find the challenges and future directions of ranking of academic objects, especially authors, for future researchers.

This study reviews the methods found in the literature for the ranking of authors, classifies them into subcategories by studying and analyzing their way of achieving the objectives, discusses and compares them. The data sets used in the literature and the evaluation measures applicable in the domain are also presented.

The survey identifies the challenges involved in the field of ranking of authors and future directions.

To the best of the knowledge, this is the first survey that studies the author ranking problem in detail and classifies them according to their key functionalities, features and way of achieving the objective according to the requirement of the problem.

In 2009, the Third Circuit decided Hydrogen Peroxide, which announced a more rigorous standard under Federal Rule of Civil Procedure 23(b)(3) for assessing whether a putative class could establish antitrust injury. Earlier this year, the Supreme Court decided Comcast v. Behrend, a case that carries potentially broad implications for both antitrust cases and Rule 23(b)(3) class actions generally. A review of the case law starting with Hydrogen Peroxide and continuing through Comcast and its progeny reveals the new rigor in antitrust class action decisions and suggests what the future may hold, including the type of arguments that may provide defendants the most likely chance of defeating class certification. After Comcast, rigor under 23(b)(3) can no longer be avoided in assessing all class actions questions, and courts should now apply Daubert fully in the class setting concerning both impact and damages. Courts should also closely evaluate plaintiffs’ proposed methodologies for proving impact to determine if they apply to each class member. Finally, courts will inevitably have to determine how rigorously to scrutinize experts’ damages methodologies and whether Comcast requires or suggests more scrutiny in assessing common evidence for measuring damages.

The purpose of this paper is to explore different types of source expertise and how they influence perceived message quality. Consumers face the challenge to identify valuable online reviews. Source expertise as a signal of message quality can be displayed differently, depending on website layout, operator and review author.

Two scenario-based experiments were conducted questioning 135 and 275 participants. They investigate the effect of different types of expert reviewers on perceived message quality and also examine the interplay of source expertise and source trustworthiness.

The findings reveal that the different types of expert reviewers differ in perceived expertise and their impact on perceived message quality. Claims of expertise induce the highest perceived expertise compared to the other expert types and non-experts, but are perceived as less trustworthy.

Future research should examine the influence of the expert types across different product and service categories and could also include moderating influences that reflect how consumers process expert cues differently.

Cues that signal high expertise and high trustworthiness are likely to deliver the most valuable online reviews. This should be incorporated in the website's layout to help consumers find valuable information.

The approach of this research is novel in that it undertakes comparisons between three types of expert cues and non-experts. It also addresses the interplay of source expertise and trustworthiness and examines the effect on message quality.

This paper aims to investigate the effect that ownership structure (public vs private) has on the demand for high-quality auditors, specifically in the US banking industry.

The authors predict that public banks are more likely to hire a high-quality auditor than private banks and pay a higher audit fee premium for that high-quality auditor (due to higher agency costs, more demand for financial information and higher litigation risk). The authors analyze 2008–2014 banking data from the Federal Reserve using probit and OLS regression analysis to examine if there is a higher probability that public banks choose higher quality auditors and pay higher audit fees when they do so.

The results show that private banks are less likely to hire Big 4 auditors and industry-expert auditors than public banks. The authors also find that both private and public banks pay higher audit fees for Big 4 and industry-expert auditors, and that public banks pay a higher premium for Big 4 auditors and industry experts than private banks.

The findings may not be fully generalizable to other types of firms, as banking is a heavily regulated and complex industry. However, inferences from this study may be generalizable to other similar industries such as insurance or health care.

The results of this paper imply that public and private banks have differing priorities when hiring their financial statement auditor. This may be of interest to investors and auditing regulators.

The findings of this paper underscore the value of hiring an industry-expert auditor in an industry that is highly complex and regulated. This may be of interest to managers and policymakers.

Due to data restrictions, the emphasis of prior literature on the banking industry has been on public banks. This study is the first to analyze the differences between public and private banks’ demand for audit services.

The purpose of this study is to examine whether the presence of an audit committee (AC) members with Chief Executive Officer (CEO) experience (supervisory experts) affects the market value of cash holdings.

To estimate the marginal value of cash holdings, this study uses the model proposed by Faulkender and Wang (2006). The sample is 2,031 firm-year observations in Korea from 2000 through 2015.

The authors find that the presence of supervisory experts on ACs has a negative impact on the value of cash holdings. This result suggests that supervisory experts on ACs weaken monitoring of managerial actions. The authors also find that the negative effect of supervisory experts on the value of cash holdings is mitigated when there are other AC members with accounting expertise.

The findings that AC supervisory expertise impairs the effectiveness of ACs, and thus destroys shareholder value have policy implications because the current regulations in many countries use a broad definition of financial expertise that includes supervisory expertise.

This is the first study that directly examines the effect of AC supervisory expertise on the value of cash holdings. The study also contributes to the literature on the role of ACs in emerging markets by documenting the limitations of corporate governance systems adopted from the Anglo–Saxon model.

From 2006 onwards very large Belgian nonprofit organizations (NPOs) are legally required to appoint an external auditor. In this context we investigate whether auditor choice in favor of a sector expert, being a higher quality auditor, is associated with NPOs’ expectations regarding several auditor attributes. We find that NPOs are more likely to choose a sector expert if they attach higher importance to an auditor’s client focus and relationship with management. NPOs are less likely to choose a sector expert if they care more about the practical execution of the audit. We provide recommendations for increasing the appeal of sector expertise as valuable auditor attribute. The resulting quality increase of NPOs’ financial statements and audit reports could benefit various stakeholders.

Expert wine awards are commonly used by consumers to reduce complexity in wine choice but little is known about expert vs non‐expert perceptions of sensory wine quality. This paper aims to examine if expert ratings are suitable quality indicators for consumers and whether there are certain groups of consumers that find expert awards more useful than others.

The paper compares German consumer ratings obtained in a sensory laboratory with German Agricultural Society's quality competition awards. it tests for the correspondence between expert and non‐expert ratings and for the concordance within the non‐expert group. Estimation of a linear mixed model serves to identify consumer‐side variables with an influence on individual rating distance.

Correspondence between expert and non‐experts and concordance within the non‐expert group were found to be insignificant. Experienced wine consumers with sufficient specific knowledge and superior self‐reported sensory skills better replicated expert ratings.

With 216 wine ratings obtained from 36 German consumers, the number of observations is small. Future research should verify above findings by considering more consumers and the stability of ratings across time.

The findings suggest that although some consumer segments may find expert awards to be useful decision cues, for a large portion of the market, there is demand for a more consumer‐orientated system of sensory quality evaluation and labelling.

This paper is the first to address the usefulness of expert ratings to novice and experienced wine consumer populations. The statistical procedures employed (including linear mixed modelling) are shown to be useful techniques to handle the repeated measurement nature of the data.

The globalisation of markets combined with the paradoxical rise of nationalism has created an increased concern about the importance of the interaction of global brands with other cues such as the country of origin (COO) of products and services. The purpose of this paper is to evaluate the decision‐making processes of experts and novices with respect to international brand names, COO and intrinsic quality differences.

Within subject experimental design, quantitative study analysis of variance.

Results of a series of experiments with personal computers as a product with strong COO effects supported this argument. Experts or highly knowledgeable consumers were found to use COO in a circumspect manner or as a limited summary construct, only when such information was consistent with a linked brand name or a particular level of physical quality. Novices, for both products used COO as a halo regardless of brand name and physical quality.

International brand names are used in a more analytical manner by experts, with respect to quality, whilst novices based their decision‐making on extrinsic cues. This was a controlled experimental design and results could be evaluated further by more realistic design using actual products in a more market setting. Although the use of product description as used as experimental treatments in this study is not an unusual manner in which personal computers are purchased by consumers, especially when they are purchased online.

International marketers must carefully consider the quality, brand and COO information carefully when marketing to consumers of varying product knowledge as it appears different decision‐making styles are used by experts and novices.

This is one of the few studies to experimentally manipulate brand, quality and COO information amongst different groups of consumers with varying product knowledge (experts and novices). The experimental treatments were also carefully chosen so that differences due to the use of a global brand IBM could be evaluated against a lesser known local brand name.