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Social bookmarking is a system which allows users to share, organise, search and manage bookmarks of web resources. However, with the rapid growth in the production of online documents, people are facing the problem of information overload. Social bookmarking web sites offer a solution to this by providing push counts, which are counts of users’ recommendations of articles, and thus indicate the popularity and interest thereof. In this way, users can use the push counts to find popular and interesting articles. A measure of popularity-based solely on push counts, however, cannot be considered a true reflection of popularity. The paper aims to discuss these issues.

In this paper, the authors propose to derive the degree of popularity of an article by considering the reputation of the users who push the article. Moreover, the authors propose a novel personalised blog article recommendation approach which combines reputation-based group popularity with content-based filtering (CBF), for the recommendation of popular blog articles which satisfy users’ personal preferences.

The experimental results show that the proposed approach outperforms conventional CBF, item-based and user-based collaborative filtering approaches. The proposed approach considering reputation-based group popularity scores on neighbouring articles indeed can improve the recommendation quality of traditional CBF method.

The recommendation approach modifies CBF method by considering the target user's group preferences, to overcome the limitation of CBF which arises from the recommending only items similar to those the user has previously liked. Users with similar article preferences (profiles) may form a group of users with similar interests. A group's preferences may also reflect an individual's preferences. The reputation-based group preferences of the target user's group can be used to complement the target user's preferences.

The purpose of this study is to examine the effect of moral and exchange capital of corporate social responsibility (CSR) disclosure on the financial distress likelihood of family management firms in India.

The constructed data set (i.e. Morgan Stanley Capital International) and Kinder, Lydenberg and Domini social performance rating data format) consists of 66 firms with 655 firm-year observations for family-managed firms that practise sustainability reporting on the Indian stock market from 2010 to 2019.

The first findings show that current and previous year-two CSR disclosure reduces family management firms’ financial distress. The second findings show that the exchange capital of CSR disclosure does not influence the financial distress likelihood of family management firms in India. The third findings show that moral capital of CSR disclosure of the current year, previous year-one and previous year-two more than likely reduce financial distress likelihood of family management firms in India. This study is robust due to the lagged variables of the dependent variables.

Management investment must be high in moral capital to accrue social capital, but the success is dependent on a policy of continuous support for establishing family-related businesses. Similarly, society can benefit as the firm becomes attractive to green consumers as additions to the consumers of a CSR-driven firm. The consequences can cause firms to be more philanthropic to the community.

The novelty shows that to the best of the authors’ knowledge, no studies examine CSR disclosure’s moral and exchange capital on financial distress likelihood in India. Also, there is no evidence from the perspective of family management studies in CSR-financial distress likelihood nexus.