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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.

This study aims to construct a Weber point-based model to complete the visualization of preference aggregation in group decision-making problem, in which decision-makers are associated with trust relationship.

This study mainly comprises four parts: trust propagation, preference aggregation, opinion adjustment and alternative selection. Firstly, the incomplete trust between decision-makers is completed with trust transfer operators and propagation probability in trust propagation process. Secondly, a preference aggregation model based on Weber point is proposed to aggregate the group preference visually. Thirdly, opinions are adjusted to reach a consensus. Finally, the ranking of alternatives is determined by the correlation coefficient with the group preference as a reference.

The Weber point-based model proposed in this study can minimize the gap in the preference of alternatives between the group and all decision-makers, and realize the visualization of aggregation result. A case of plan selection is introduced to illustrate the feasibility and effectiveness of the proposed model.

By comparing the result with the weighted average-based preference aggregation method, the Weber point-based model proposed in this study can show the result of preference aggregation intuitively and improve group consensus.

The purpose of this study is to build a consensus model of social network group decision-making (SNGDM) based on improved PageRank algorithm. By objectively and fairly measuring the evaluation ability of participants in the decision-making process, the authors can improve the fairness and authenticity of the weight solution of decision-makers (DM) in the decision-making process. This ensures the reliability of the final group consensus results.

This study mainly includes six parts: preference expression, calculation of DM's weight, preference aggregation, consensus measurement, opinion adjustment and alternative selection. First, Pythagorean fuzzy expression is introduced to express the preference of DMs, which expands the scope of preference expression of DMs. Second, based on the social network structure among DMs, the process of “mutual judgment” among DMs is increased to measure the evaluation ability of DMs. On this basis, the PageRank algorithm is improved to calculate the weight of DMs. This makes the process of reaching consensus more objective and fair. Third, in order to minimize the evaluation difference between groups and individuals, a preference aggregation model based on plant growth simulation algorithm (PGSA) is proposed to aggregate group preferences. Fourth, the consensus index of DMs is calculated from three levels to judge whether the consensus degree reaches the preset value. Fifth, considering the interaction of DMs in the social network, the evaluation value to achieve the required consensus degree is adjusted according to the DeGroot model to obtain the overall consensus. Finally, taking the group preference as the reference, the ranking of alternatives is determined by using the Pythagorean fuzzy score function.

This paper proposes a consensus model of SNGDM based on improved PageRank algorithm to aggregate expert preference information. A numerical case of product evaluation is introduced, and the feasibility and effectiveness of the model are explained through sensitivity analysis and comparative analysis. The results show that this method can solve the problem of reaching consensus in SNGDM.

Different DMs may have different judgment criteria for the same decision-making problem, and the angle and depth of considering the problem will also be different. By increasing the process of mutual evaluation of DMs, the evaluation ability of each DM is judged only from the decision-making problem itself. In this way, the evaluation opinions recognized by most DMs will form the mainstream of opinions, and the influence of corresponding DMs will increase. Therefore, in order to improve the fairness and reliability of the consensus process, this study measures the real evaluation ability of DMs by increasing the “mutual judgment” process. On this basis, the defect of equal treatment of PageRank algorithm in calculating the weight of DMs is improved. This ensures the authenticity and objectivity of the weight of DMs. That is to improve the effectiveness of the whole evaluation mechanism. This method considers both the influence of DMs in the social network and their own evaluation level. The weight of DMs is calculated from two aspects: sociality and professionalism. It provides a new method and perspective for the calculation of DM’s weight in SNGDM.

The purpose of this paper is to examine whether preference toward in‐group members can serve as opportunism governance in channel relationships in a collectivist culture. This study proposes a model of opportunism incorporating in‐group preference and trust as antecedents of opportunism. Based on Transaction Cost Economics and Social Exchange Theory, transaction‐specific investment and relationship length are employed in the model as confounding variables of in‐group preference for opportunism and trust.

Data were collected from 109 Korean department store buyers and analyzed using Structural Equation Modeling (EQS 6.0).

The results showed that buyers' in‐group preference increased buyers' trust toward suppliers and decreased suppliers' opportunistic behavior. Buyers' increased trust toward suppliers was found to reduce suppliers' opportunistic behavior. Further, Trust was significantly influenced by supplier TSI, but not by length of relationship. On the other hand, opportunism was significantly influenced by length of relationship, but not by supplier TSI.

This study examined only the positive side of in‐group membership. Some criticisms of in‐group preference are favoritism, interference with fair competition, and collective blindness, any of which might decrease the efficiency of business operations. These impacts should be examined to gain a balanced view of the implications of in‐group preference in business settings.

Multinational companies should understand that in‐group membership is an important source of building trust and oppressing opportunism in the Korean market. Multinational companies can strategically approach in‐group members of business partners to become members of those in‐groups.

This is the first empirical study to examine collectivists' tendencies toward in‐group preference as opportunism governance.

The purpose of this paper is to aggregate different preference information in group decision‐making process such as interval preference order, interval utility value, interval number reciprocal comparison matrix, and interval number complementary comparison matrix.

First, the consistency definitions of four kinds of uncertain preference information are defined. Then, the upper‐ and low errors are introduced to solve the inconsistent decision‐making case. Following that, the weight model for each uncertain preference is proposed, respectively.

The aggregation approach based on minimal group deviation errors is suggested in order to obtain the utmost consistent opinion. In addition, the consistency judgment level and consistency extent are defined owing to the aggregation result.

The calculation scale is large, if many decision makers will attend group decision‐making process.

A very useful approach for aggregation of the different preference in group decision‐making case.

Because of differences in knowledge structure, judgment level, and individual preference, decision makers express their judgment preferences via differently structured decision‐making processes. Owing to the complexity and uncertainty of decision‐making problems and the fuzziness of human thought, it is unrealistic to depict complex problems in the certain preference style. For decision‐making preference structures, group decision‐making aggregation approaches include the aggregation on the same kind of preference structure and the different kinds of preference structures. The study on the aggregation of the same kind of preference structure has received a deal of attention, but study into the aggregation of the different kinds of uncertainty preference structures is still a new field.

This research aims to examine the relationship between conflict management in the workplace and member satisfaction in work groups at both individual and group levels.

The objectives were achieved by surveying 135 Korean teachers in 28 kindergartens, treating them as small work groups. A multilevel modeling technique was used to examine the impact of conflict management preferences on individual satisfaction with group processes.

For the cooperation style of conflict management, individual‐level preference and group‐level similarity in preference were related positively to individual satisfaction with group processes. Individual‐level preference and group‐level similarity in preference for the avoidance style, however, did not significantly influence individual satisfaction with group processes. It was also found that the positive relationship between individual preference for the cooperation style and satisfaction with group processes was stronger with less variation (i.e. greater similarity) in group‐level preference for the cooperation style and with greater variation (i.e. less similarity) in group‐level preference for the avoidance style. Research limitations/implications – No causality can be established between conflict management style preferences and satisfaction with group processes. Only two styles of conflict management were assessed with a small number of measurement items.

The study shows how useful a multilevel examination of conflict management style preferences and satisfaction with group processes can be for conflict research.

This paper aims to identify the preferences towards sex education and information from a religiously diverse sample of young people. The research builds on growing evidence towards religious affiliation having a strong influence on sexual attitudes and behaviour.

A total of 3,007 young people aged 15‐18 attending schools in London, UK, completed a cross‐sectional survey. The questionnaire identified preferred sexual health “topics”, preferences for where they would like to receive this education and who they thought would be the ideal person to deliver the information.

The largest religious group was Christian (34 per cent), followed by Muslim (24 per cent), Hindu (21 per cent), “Don't believe” (15 per cent) and “Other” (7 per cent). There were a number of similarities across the practising religious groups such as preferences for more information on sexually transmitted infections and how to make sex more satisfying. The data also showed significant differences across the religious groups, in particular between Hindus and Muslims, and their preferences towards the ideal person to deliver sex education. Hindus were notable for showing a higher preference towards someone of similar age, and also reporting the least preference for someone of the same religion. By contrast, Muslims reported a higher preference for religious compatibility on the premise that such a person could “identify with” their own religious and cultural beliefs.

Although derived from a sample that is not statistically representative of all young people, the findings demonstrate the potential and importance of being able to respond to the competing sex education preferences of religious groups. The forthcoming challenge is to research the ways in which this potential for sex education can be harnessed in a sensitive manner.

This paper is valuable in terms of establishing young people's preferences for information on sex and relationships, but less so in terms of identifying the types of sex education that are most beneficial. Indeed, it is likely that this paper will be of particular relevance to the “knowledge and understanding” element that is specified in this guidance.

This review article focuses on the factors that affect the selection and implementation of three principles of distributive justice (i.e., equity, equality, and need) to reward systems in group and organizational settings. After presenting an overview of the assumptions, goals, and possible consequences associated with each of the three perspectives, the article then describes the moderating factors influencing distribution rule preferences across four levels of analysis: (1) the interorganizational, (2) the intraorganizational, (3) the work group, and (4) the individual. Some of the variables discussed include cross‐cultural differences, reward system implementation, task interdependency, work group climate, and individual characteristics. This material is then summarized through the use of a new conceptual model for describing allocation rule preferences. The article concludes with suggestions for future research.

This study aims to develop a new general framework of the challenges for decision making in groups. Unlike most research focused on individual consumption, this study takes a broader perspective on joint consumption.

The conceptual framework and the developed research questions are based on an extensive literature review.

This research identifies five major challenges for group decisions: allocation of responsibilities, preference prediction, preference aggregation, conflicts and mutual influences. For each challenge, this study summarizes existing findings and highlights important areas for continued investigation, related to a marketing-oriented understanding of consumers. This article concludes with implications for both managers and researchers.

The identified key determinants of group decisions aggregate findings from multidisciplinary literature and can help marketing researchers and managers understand the relevant but underresearched issues of decision making in groups. Furthermore, this study includes relevant moderators, such as individual and group characteristics, and reveals problematic research gaps. In turn, it offers questions and ideas for additional research.

Building circulation has an important impact on human comfort of buildings and is one of the critical factors in building design. A quantitative walkability evaluation of building circulation can benefit both building design and operation. However, indoor walkability of building circulation is determined not only by objective path features but also by subjective user preference. How to incorporate the preference from a large group of users into the design process is still a challenging issue.

This study proposes a participatory framework of indoor path walkability evaluation based on user preference. Hierarchical indicators are developed to objectively measure indoor path features. Furthermore, group decision-making theory is adopted to aggregate individual user preference into user common preference for determining the relative indicator weights. Finally, integrated walkability scores (IWSs) are calculated to evaluate indoor path walkability quantitatively.

A total of three case scenarios demonstrate that the proposed evaluation framework provides an efficient way for designers and owners to measure user preference quantitatively, analyze building circulations based on user preference and compare the walkability of different building design schemes.

The developed methods provide an efficient way for designers and owners to measure user preference quantitatively, analyze building circulations based on user preference and compare the walkability of different building design schemes.

This study develops a comprehensive and quantitative walkability evaluation approach that considers both objective path features and subjective user preference derived from user characteristics and walking purposes, which provides an effective way to incorporate user feedback into the building design process and operation.