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Websites are the most important element of company strategy in the digital space. Therefore, establishing strategic management of online business is essential to improve firm connectedness and competitiveness and to achieve global company reach. This paper aims to propose the analysis of technical and content quality of websites to identify the main weaknesses and strengths of online business.

An innovative measurement instrument called IWebQEI is designed to measure web quality level. This instrument is validated with data from 104 international companies. The results are used to verify whether there are quality differences between informative and e-commerce websites.

The main findings indicate that e-commerce websites achieve greater levels of technical and content quality than informative sites, and companies implementing e-commerce pay more attention to the content quality dimension. In contrast, companies using an informative website are more focused on the technical quality dimension. Based on these results, practical insights are offered to improve the strategic management of e-commerce.

Few studies have focused on analysing the technical and content quality of websites to identify the main weaknesses and strengths of online business. The results offer important theoretical and practical contributions for companies on how to manage their website to improve firm connectivity and competitiveness.

Los sitios web son el elemento más importante de la estrategia digital de la compañia. Una gestión estratégica del negocio online es esencial para mejorar su conectividad, competitividad y para conseguir su alcance global. Este trabajo propone el análisis de la calidad técnica y de contenido de sitios web para identificar las principales debilidades y fortalezas del negocio online.

Para medir el nivel de calidad web, se ha diseñado un innovador instrumento de medición, denominado IWebQEI. Este instrumento se valida con datos de 104 empresas internacionales. Los resultados se utilizan para comprobar si existen diferencias de calidad entre las webs informativas y los e-commerce.

Las resultados indican que los e-commerce alcanzan mayores niveles de calidad técnica y de contenido que las webs informativas, y las empresas que implementan un e-commerce prestan más atención a la calidad de contenido. En cambio, las empresas que implementan una web informativa se centran más en la calidad técnica. A partir de estos resultados se ofrecen ideas prácticas para mejorar la gestión estratégica del e-commerce.

Pocos estudios analizan la calidad técnica y de contenido de los sitios web para identificar las principales debilidades y fortalezas del negocio online. Los resultados ofrecen importantes contribuciones teóricas y prácticas sobre cómo gestionar los sitios web para mejorar la conectividad y la competitividad de la compañia.

企业网站是公司在数字空间中战略的最重要元素。因此, 建立在线业务本身的战略管理对于提高公司的连通性和竞争力以及实现公司的全球影响力至关重要。本文提出对企业网站的技术和内容质量进行分析, 以确定在线业务的主要弱点和优势。

设计了一个创新的测量仪器, 称为IWebQEI, 用于测量网络质量水平。该仪器通过104家国际公司的数据进行验证。结果被用于检查信息网站和电子商务网站之间是否存在质量差异。

主要研究结果表明, 总体而言, 电子商务网站的技术质量和内容质量水平高于信息类网站, 实施电子商务的公司更注重内容质量维度。相比之下, 实施信息型网站的公司则更注重技术质量维度。基于这些结果, 为改进电子商务的战略管理提供了实际的见解。

以前的研究很少关注分析企业网站的技术和内容质量, 以确定在线业务的主要弱点和优势。研究结果为企业提供了重要的理论和实践贡献, 即如何管理企业网站以提高公司的连通性和竞争力。

The purpose of this paper is to identify the unique d

mensions associated with knowledge quality (KQ) based on students’ perception in an educational institution.

Purposive sampling was used to select students who were active users of the electronic-Learning (eLearning) system at two faculties in a single university. The qualitative data gathering employed an unstructured open-ended questionnaire distributed to the 52 selected participants.

The qualitative findings unearth the students’ perspective about quality of knowledge gained from content used in online courses. In total, 34 underlying sub-dimensions of KQ emerged, which were categorized into five KQ dimensions: intrinsic KQ, contextual KQ, representational KQ, accessible KQ, and actionable KQ.

The findings provide an insight to educators to consider KQ dimensions in providing quality knowledge to students in an eLearning environment.

Previous studies have used information quality dimensions to measure KQ because of a lack of conceptualization of KQ that leads to difficulties in operationalizing this construct. In this study, a conceptual and operational definition of KQ, in the context of eLearning, is proposed based on grounded data from students participating in an online learning environment.

The purpose of this study is to examine the predictors of high‐quality answers in a community‐driven question answering service (Yahoo! Answers).

The identified predictors were organised into two categories: social and content features. Social features refer to the community aspects of the users and are extracted from explicit user interaction and feedback. Content features refer to the intrinsic and extrinsic content quality of answers that could be used to select the high‐quality answers. In total the framework built in this study comprises 17 features from two categories. Based on a randomly selected dataset of 1,600 question‐answer pairs from Yahoo! Answers, high‐quality answer predictors were identified.

The results of the analysis showed the importance of content appraisal features over social and textual content features. The features identified as strongly associated with high‐quality answers include positive votes, completeness, presentation, reliability and accuracy. Features weakly associated with high‐quality answers were high frequency words, answer length, and best answers answered. Features related to the asker's user history were found not to be associated with high‐quality answers.

This work could help in the reuse of answers for new questions. The study identified features that most influence the selection of high‐quality answers. Hence they could be used to select high‐quality answers for answering similar questions posed by users in the future. When a new question is posed, similar questions are first identified, and the answers for these questions are extracted and routed to the proposed quality framework for identifying high‐quality answers. Based on the overall quality index computed, the high‐quality answer could be returned to the asker.

Previous studies in identifying high‐quality answers were conducted using either of two approaches. First using social and textual content features found in community‐driven question answering services and second using content appraisal features by thorough assessment of answer quality provided by experts. However no study had integrated both approaches. Hence this study addresses this gap by developing an integrated generalisable framework to identify features that influence high‐quality answers.

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.

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.

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.

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.

The role of social media in the tourism industry growth cannot be ignored, because today the internet and social media platforms are one of the most popular information channels used by potential tourists and have become one of the main sources of online travel information. This study investigates the role of content cues of tourism information quality provided in Elie Gasht firm's Instagram page on enhancing awareness of the destination brand and forming users' destination image.

A quantitative research design was used to validate the hypotheses proposed in this research. A survey was deployed using the convenience method among 187 users of Elie Gesht's Instagram page to test the theoretical model. The structural relationships in the research were examined using the partial least squares structural equation modeling.

The findings of the present research indicated that the content cues of the quality of information provided by the firm have a positive effect on enhancing destination brand awareness and in turn improve affective image and cognitive image. Eventually, the content cues of the quality of information provided by the firm impact the formation of a conative image through the affective and cognitive image of the destination.

Pragmatically, the findings of this study urge policymakers of tourism companies, managers and destination marketers to take into account the special role of the firm's social media in enhancing destination brand awareness, which in turn promotes destination brand image. Therefore, providing empirical evidence on what leads to the promotion of destination brand awareness and different types of image formation of the destination due to information content quality provided by the firm on social media, provides managerial insights for corporate marketers and tourism destinations.

This study contributes to the body of knowledge on the role of quality of tourism information content presented in the firm's social media by providing empirical evidence on enhancing destination brand awareness and destination image formation. It also helps firm managers and planners build their marketing strategies to attract more customers through social media.

This study aims to determine the impact of attitude toward content creators, subjective norm and perceived content quality in affecting people’s intention and behavior to watch videos posted on YouTube in Indonesia.

Using questionnaire, data from the total of 112 individuals living in Indonesia were gathered in this study, and these respondents are individuals who have been watching YouTube contents at least 3 h a day for the past eight months. Moreover, all of these data were processed and analyzed using PLS method to determine the impact given by one variable toward the other.

Based on the results of the analysis, the authors concluded that both factors, namely, content credibility and perceived content quality, play significant and positive roles in determining people’s intention to watch – and ultimately behavior to watch – contents or videos published on YouTube, with the former turned out to be the stronger predictor.

The current study attempts to modify and merge both the concept of theory of reasoned action and product quality theory to explain Indonesians’ behavior toward watching contents published on YouTube, and to the best of the authors’ knowledge, this type of studies is still in rarity.

In this paper, we develop and evaluate an approach to assessing the content quality in a location‐based service (LBS). The proposed approach, instead of assessing the quality in absolute terms such as completeness or accuracy, measures the effect that the imperfection of the content is having on the reliability of that specific LBS. We apply the basic ideas from Software Reliability Engineering (SRE), but develop a modification of SRE, 2‐Branch, in order to separate content quality from other factors, such as positioning imprecision, and to reduce the measurement error. In our experimental study, we first compare 2‐Branch to the standard SRE, after which we experimentally analyze some properties of SRE methodology as such in the context of an LBS. The experiments indicate that 2‐Branch has in most cases a lower measurement error than the standard SRE. A corollary to that is that 2‐Branch can achieve, therefore, as low an error level as the standard SRE, using a worse and thus cheaper oracle. Getting a good oracle is probably the main cost factor in evaluating the quality of an information service, thus being able to use a cheaper one may result in significant savings.

Professional service firm (PSF) performance depends on the accumulation and application of specialist knowledge to find customised solutions to customer problems. However, available research has not examined whether knowledge acquired from external sources affects PSF outcomes by strengthening professionals’ beliefs rather than only by increasing technical competency. Drawing on self-efficacy theory, this study tests a model that links the quality of content acquired from external sources and the credibility of those sources to professionals’ self-efficacy and, in turn, to PSF outcomes (solution quality and firm performance). In particular, this paper aims to consider the case of professional content exchanged through professional social media.

A cross-sectional research design was applied. Data were collected from a sample of 208 accountants, auditors and lawyers who used professional social media and were analysed using covariance-based structural equation modelling.

When accessing professional content from external sources, source credibility and content quality are significant antecedents of professionals’ self-efficacy, which, in turn, has positive effects on PSF outcomes (solution quality and PSF performance).

Self-efficacy plays a key role in the link between knowledge acquired from external sources (professional content) and PSF outcomes.

This study provides recommendations and actionable insights for PSFs, professionals and other actors who create and exchange professional content. Professional associations may also take an active role by contributing and sharing credible and high-quality content, using, for example, professional social media.

This paper advances the current understanding of the effects of professionals’ access to content from external sources on PSF outcomes. It provides an explanation of these effects based on the enhancement of professionals’ beliefs instead of their technical competencies, as indicated in previous research. In addition, it is the first research effort to consider professional social media as a communication channel to exchange content that affects the self-efficacy of PSF professionals.

The purpose of this paper is to examine the driving factors of user innovation behaviors using the case of smartphone applications to estimate the indirect and direct effects of consumers’ attitudes toward user-generated content (UGC).

This study proposes a structural model to examine the relationship between user innovation behaviors toward UGC and three attitude factors: involvement, consumer knowledge and customer orientation. The empirical analysis is based on a consumer survey that examines the commonalities and differences between Japan and China. In each country, two social media services are chosen as representative cases of the UGC business model to measure user innovation behaviors toward the quality and quantity aspects.

Customer orientation is the most significant driving factor of user innovation behaviors toward UGC. It positively affects both the number of followers and the frequency of information transmissions. In particular, for the quality dimension of user innovation, customer orientation has a more significant effect on the number of followers than does familiarity.

This study emphasizes the quality aspect of user innovation. Previous research has focused on the quantity of user innovation behaviors by measuring the amount of information. However, this research measures both the quality and the quantity aspects with the number of followers and the frequency of uploading content. The findings of this study suggest that companies should maintain relationships with highly customer-oriented users to manage content quality.

E-commerce content platforms are a typical type of multi-sided platform that combines transactions with social media platforms. To solve the managerial dilemma of balancing the tension between control and autonomy of influencers' output performance, this study aims to investigate how exercising output controls through performance rewards and performance punishments impact the quantity and quality of influencers' content generation.

Choosing JD WeChat Shopping Circle as the research context and leveraging the introduction of a double commission subsidy policy and a removal policy as quasi-natural experiments, this study applied the difference-in-differences (DID) method to empirically test hypotheses.

Performance rewards incentivize influencers to generate high-quality content, but such incentivizing effects attenuate over time. Performance punishment drives influencers to generate expected pieces of high-quality content, and such safeguarding effects accentuate over time.

This study proposes output controls as an important form of governance mechanism in multi-sided platforms and substantiates how rewards and punishments as two facets of incentives affect complementors' behaviors. In addition, by distinguishing performance-contingent rewards from completion-contingent rewards, this study helps resolve the mixed findings on the effects of monetary rewards in the user-generated content (UGC) literature.