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This systematic literature review aims to elaborate on the research progress and features of information source preferences to help other researchers attain a more comprehensive understanding of the field.

Following a systematic review protocol, 139 research articles from 11 academic databases were analyzed.

Overall, five separate results were obtained: first, information source horizon theory is the main theoretical foundation of information source preferences research, while other theories have been applied less. Second, information source preference research has strong context sensitivity and involves health, work, consumption, learning, survival and development and emergencies. Third, preference criteria can be summarized into three categories: information characteristics, user characteristics, needs characteristics and corresponding specific criteria. Fourth, information source preferences are influenced by both internal and external factors, including five specific aspects, namely demographics, the user's cognition, the user's affection, capital and contextual factors. Fifth, this field is dominated by quantitative methods and an information horizon mapping method could be applied more.

This study is the first to reveal the general picture of information source preferences. It also elaborates on the characteristics of this field and presents potential development directions.

This study aims to explore the influence of risk preference and information acquisition on outdoor tourism safety decision-making.

Five hundred twenty outdoor tourists were surveyed, and data were analyzed using two-stage regression.

Risk preference positively affects tourists’ safety decisions for outdoor travel. The greater the risk preference is, the more likely the tourists are to make the risky decision of outdoor tourism. Information acquisition significantly negatively affects tourists’ safety decisions for outdoor tourism. Tourists who obtain information through social channels are more likely to make safer travel decisions than those who do not.

Risk preference and information acquisition are introduced into outdoor tourism safety research.

As independent travel has become increasingly popular in recent years, factors influencing users’ attitudes and behaviors should be explored. Besides, the rise of video platforms like YouTube, Bilibili and TikTok has led to the flourishing of user generated content (UGC), among which travel vlogs have become convenient and essential references for tourists before and while they travel on their own.

This research used quantitative analysis through a survey designed for young people, as most vlog viewers are in those age groups, to explore the attitudes and perceptions of vlog preference, attitudes and cognizance of travel vlogs among different gender, guided by the decision-making theory and preference theory with 455 participants.

Survey results showed that both genders have common choices regarding travel vlog preference, attitudes, sharing and cognizance. Yet, gender differences appear in some cognition of travel vlogs and specific preferences, such as information searching habits, trusty travel and information sources.

Existing studies focus on the influence of platforms on users, but scant studies focus on user perceptions of vlogs as a new information carrier for young people in East Asia, especially regarding gender differences, which is crucial in media-based marketing. This research provides practical suggestions to marketers and vloggers to attract and engage different genders of young people and theoretical implications on decision and preference theories.

This paper investigates the information dilemma in negotiations: if negotiators reveal information about their priorities and preferences, more efficient agreements may be reached but the shared information may be used strategically by the other negotiator, to the revealers' disadvantage. We present a theoretical model that focuses on the characteristics of the negotiators, the structure of the negotiation, and the available incentives; it predicts that experienced negotiators will out‐perform naive negotiators on distributive (competitive) tasks, especially when they have information about their counterpart's preferences and the incentives are high—unless the task is primarily integrative, in which case information will contribute to the negotiators maximizing joint gain. Two experiments (one small, one large) showed that the revelation of one's preferences was costly and that experienced negotialors outperformed their naive counterparts by a wide margin, particularly when the task and issues were distributive and incentives were large. Our results help to identify the underlying dynamics of the information dilemma and lead to a discussion of the connections between information and social dilemmas and the potential for avoiding inefficiencies.

Analyzing current recommender systems, it is observed that the cold start problem is still too far away to be satisfactorily solved. This paper aims to present a hybrid recommender system which uses a knowledge‐based recommendation model to provide good cold start recommendations.

Hybridizing a collaborative system and a knowledge‐based system, which uses incomplete preference relations means that the cold start problem is solved. The management of customers' preferences, necessities and perceptions implies uncertainty. To manage such an uncertainty, this information has been modeled by means of the fuzzy linguistic approach.

The use of linguistic information provides flexibility, usability and facilitates the management of uncertainty in the computation of recommendations, and the use of incomplete preference relations in knowledge‐based recommender systems improves the performance in those situations when collaborative models do not work properly.

Collaborative recommender systems have been successfully applied in many situations, but when the information is scarce such systems do not provide good recommendations.

A linguistic hybrid recommendation model to solve the cold start problem and provide good recommendations in any situation is presented and then applied to a recommender system for restaurants.

Current recommender systems have limitations in providing successful recommendations mainly related to information scarcity, such as the cold start. The use of incomplete preference relations can improve these limitations, providing successful results in such situations.

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.

Many researchers have investigated the determinants of workers’ risk-taking/unsafe behaviours as a way to improve safety management and reduce accidents but there has been a general lack of research about workers’ risk information seeking behaviours or their source preferences for risk information. The purpose of this paper is to investigate whether occupational risk information source preference was risk independent (i.e. whether workers prefer to receive occupational risk information from proximal sources like supervisors and workmates regardless of the nature of the risk or the source's expertise regarding that risk, or if they discriminated between information sources based on the type of risk being considered).

Data were collected from 106 frontline construction workers who were recruited from a single building site within the UK with the help of the safety officer on site. The source from which workers preferred to receive information about a range of risks was measured using a ranking exercise. Specifically, workers were asked to rank five occupational sources (HSE, safety manager, project manager, supervisor, workmates) according to how much they preferred each one to deliver information about eight different risks (asbestos, back pain, site transport, heights, slips/trips, housekeeping, and site-specific and job-specific risks).

The paper found that supervisors and safety managers were the most preferred sources of risk information overall, but a correspondence analysis suggested that workers’ risk information source preference is risk dependent and might be driven by source expertise.

The findings have important practical implications for the role of safety managers in risk communication and for building trust within high-hazard organisations.

To the author's knowledge, this is the first study to investigate risk information source preferences in an occupational setting.

This paper aims to develop a dynamic two-sided stable matching method based on preference information of the matching objects in uncertain environments, so as to solve the matching problem of cloud manufacturing tasks and services with load balancing.

For dynamic two-sided matching, due to the complexity of social environment and the limitation of human cognition, hesitation and fuzziness always exist in the process of multi-criteria assessment. First, in order to obtain the accurate preference information of each matching object, uncertain linguistic variables, uncertain preference ordinal and incomplete complementary matrices are used to evaluate multi-criteria preference information. This process is undertaken by considering the probability of each possible matching pair. Second, the preference information at different times is integrated by using the time-series weight to obtain the comprehensive satisfaction degree matrices of the matching objects. Further, the load adjustment parameter is used to increase the satisfaction degree of the matching objects. Afterward, a dynamic two-sided stable matching optimization model is constructed by considering stable matching conditions. The model aims to maximize the satisfaction degree and minimizes the difference in the satisfaction degree of matching objects. The optimal stable matching results can be obtained by solving the optimization model. Finally, a numerical example and comparative analysis are presented to demonstrate the characteristics of the proposed method.

Uncertain linguistic variables, uncertain preference orders and incomplete complementary matrices are used to describe multi-criteria preference information of the matching objects in uncertain environments. A dynamic two-sided stable matching method is proposed, based on which a DTSMDM (dynamic two-sided matching decision-making) model of cloud manufacturing with load balancing can be constructed. The study proved that the authors can use the proposed method to obtain stable matching pairs and higher matching objective value through comparative analysis and the sensitivity analysis.

A new method for the two-sided matching decision-making problem of cloud manufacturing with load balancing is proposed in this paper, which allows the matching objects to elicit language evaluation under uncertain environment more flexibly to implement dynamic two-sided matching based on preference information at different times. This method is suitable for dealing with a variety of TSMDM (two-sided matching decision-making) problems.

This paper’s main objective is to expand the demand-driven strategic field by developing a model where endogenization of consumers’ preferences for clean(er) products becomes the driver of the firm green corporate social responsible (GCSR) profit maximization behavior.

The model proposes that in undifferentiated markets, firms using a conventional technology manage production-related negative externalities via information asymmetries. In turn, when consumer socially responsible individuals (CnSR) discover the nature of the information asymmetries, they then reveal their preferences. The building block of the model is that CnSR derive value both from intrinsic as well as extrinsic product features, and derive negative satisfaction from the production negative externalities. In turn, CnSR preferences offer a higher willingness to pay for a combined intrinsic (private good and direct utility) and extrinsic (public good and feel good–do good utility) product.

The model demonstrates that the firm’s GCSR behavior is a technological-driven process directly affecting the extrinsic component of the product through the development of a safe technology, and exclusively targeting CnSR type of consumers. The corollary of the model is that for the firm pursuing a GCSR behavior, the development of a competitive advantage with higher firm performance leads to profit maximization when exclusively serving the GCSR segment of the market. Thus, GCSR is the result of unusual innovation efforts.

This paper presents a model that expands the field of strategic management through the demand-driven incorporation and respective modeling. To the best of the author’s knowledge, this is the first model to explicitly develop this relationship in this format.

Explores the nature of the cognitive preferences of school administrators, thus opening up a new line of enquiry which may provide a base for future studies on administrative behaviour. The study offers an insight into the school administrators′ mode of information perception according to four basic modes: relating and recalling information without considering its implications; relating to information according to its practical applications; posing critical questions about the information′s validity; and relating to information according to the fundamental principles. School administrators were found to be different in their cognitive preferences as a function of individual differences, and different roles of school administration.