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The purpose of this paper is to illustrate how the notion of “storying collaboration” can benefit democratic participation, collaboration among different social actors, and local development.

The methodology relies initially on a hermeneutical epistemological view which also incorporates Aristotelian analysis of speech as a deconstructive tool. Initial findings suggest a further shift in approach towards the assumptions made by critical theory. The basic methodological tool is in‐depth interviews. The level of analysis is the individual who participates in collaborative processes.

The paper shows how collaboration is unlikely to be successful in situations where certain key conditions are absent. Ultimately, what may be seen as a conversion process reveals a circular sequence of ideals, acts and outcomes in which stories about the future become realities and realities become new stories.

The findings suggest that the creation of appropriate environments is required in order for individuals to become aware of their wishes and demands and make conscious choices. If the actors involved are aware of the rhetorical components of speech, then they can utilise them to persuade others. The storyteller must take into consideration which kind of assumptions, intentions and orientations respect individual and social notions of legitimacy and, thus, are likely to succeed.

The originality of the paper lies in the use of a bricolage of methodologies in order to shed light on the role of stories in the collaborative process.

Seeking online bilingual scientific information is a key aspect of bilingual scientific Web literacy – abilities to engage critically with science on the Web using two languages. This study aims to determine whether factors such as age, education major, gender and type of school attended at secondary level (monolingual, bilingual, trilingual) influence undergraduates’ ability to search online Spanish-English bilingual scientific information.

The participants in this study were 60 students (43 females and 17 males, 18–25 years old) enrolled in a university bilingual science course at a high-ranked Colombian university. They were asked to complete two tasks in which they had to seek online scientific information in Spanish and in English and post their responses on the Web application, Padlet^® (padlet.com).

Results indicate that students’ gender and age influence their academic performance in both tasks and level of originality in using information obtained via the Web, respectively. Moreover, the “scientific journal” was the top source of online information from which participants sought most information to complete both tasks.

People are becoming increasingly accustomed to seeking and sharing online scientific information to support points of view and make decisions. However, it is not known which factors influence students’ ability to seek online first language-English bilingual scientific information in countries where English is the second or foreign language.

Online health question-and-answer (Q&A) forums have developed a new business model whereby listeners (peer patients) can pay to read health information derived from consultations between askers (focal patients) and answerers (physicians). However, research exploring the mechanism behind peer patients' purchase decisions and the specific nature of the information driving these decisions has remained limited. This study aims to develop a theoretical model for understanding how peer patients make such decisions based on limited information, i.e. the first question displayed in each focal patient-physician interaction record, considering argument quality (interrogative form and information details) and source credibility (patient experience of focal patients), including the contingent role of urgency.

The model was tested by text mining 1,960 consultation records from a popular Chinese online health Q&A forum on the Yilu App. These records involved interactions between focal patients and physicians and were purchased by 447,718 peer patients seeking health-related information until this research.

Patient experience embedded in focal patients' questions plays a significant role in inducing peer patients to purchase previous consultation records featuring exchanges between focal patients and physicians; in particular, increasingly detailed information is associated with a reduced probability of making a purchase. When focal patients demonstrate a high level of urgency, the effect of information details is weakened, while the interrogative form is strengthened.

The originality of this study lies in its exploration of the monetization mechanism forming the trilateral relationship between askers (focal patients), answerers (physicians) and listeners (peer patients) in the business model “paying to view others' answers” in the online health Q&A forum and the moderating role of urgency in explaining the mechanism of how first questions influence peer patients' purchasing behavior.

In a dynamic, information and technology‐driven society, librarians can create new roles by assessing changes in their environment, the potential effect and ways to reposition themselves. Scenario building, literature reviews, situation analysis, speculation and forecasting may be used. Librarians have a good idea of what they can offer, but are often unable to reposition themselves in time. Reasons for this generally slow reaction are speculated on and the future role of librarians (including expected knowledge and skills) is briefly reviewed. An argument is then pursued on how an educational perspective that supports a constructivist‐learning environment, portfolio assessment, and affective and metacognitive skills could support librarians in preparing for change. The value of task analysis, needs assessment, and market research are mentioned briefly. Apart from knowledge (cognitive level), teaching should focus on affective and metacognitive skills, decision‐making abilities, environmental scanning, change management and the typical personality characteristics required to survive in the cyber age (e.g. assertiveness, self‐confidence, creative thinking, and innovativeness).

Cross-app interactive search has become the new normal, but the characteristics of their tactic transitions are still unclear. This study investigated the transitions of daily search tactics during the cross-app interaction search process.

In total, 204 young participants' impressive cross-app search experiences in real daily situations were collected. The search tactics and tactic transition sequences in their search process were obtained by open coding. Statistical analysis and sequence analysis were used to analyze the frequently applied tactics, the frequency and probability of tactic transitions and the tactic transition sequences representing characteristics of tactic transitions occurring at the beginning, middle and ending phases. 

Creating the search statement (Creat), evaluating search results (EvalR), evaluating an individual item (EvalI) and keeping a record (Rec) were the most frequently applied tactics. The frequency and probability of transitions differed significantly between different tactic types. “Creat? EvalR? EvalI? Rec” is the typical path; Initiate the search in various ways and modifying the search statement were highlighted at the beginning phase; iteratively creating the search statement is highlighted in the middle phase; Moreover, utilization and feedback of information are highlighted at the ending phase. 

The present study shed new light on tactic transitions in the cross-app interactive environment to explore information search behaviour. The findings of this work provide targeted suggestions for optimizing APP query, browsing and monitoring systems.

The Chartered Manager Degree Apprenticeship (CMDA) was approved for delivery in the UK in 2015 (IfATE, 2023). The CMDA offers future managers the opportunity to gain a recognised degree as well as the practical skills to thrive in today's competitive job market. A number of studies have been written on the development phase of the CMDA in various institutions, but to date no systematic review exists to provide an overview of commonalities and insights gained across these studies. This review aims to fill this gap.

A systematic literature review (SLR) was used to identify studies written on the CMDA since its introduction. In total, 12 papers met the authors' selection criteria, and thematic coding was used to analyse and present the findings.

Findings were grouped into five themes: (1) curriculum design; (2) programme delivery and support for apprentices; (3) portfolio of evidence and End Point Assessment (EPA); (4) working with employers and (5) recruitment and onboarding.

This review is the first synthesis to date of literature written on the CMDA. The authors' analysis has allowed them to formulate recommendations for future practice that will be of use to providers in the next phase of the CMDA's development.

This chapter outlines how search engine technology can be used in online public access catalogs (OPACs) to help improve users’ experiences, to identify users’ intentions, and to indicate how it can be applied in the library context, along with how sophisticated ranking criteria can be applied to the online library catalog. A review of the literature and the current OPAC developments forms the basis of recommendations on how to improve OPACs. Findings were that the major shortcomings of current OPACs are that they are not sufficiently user-centered and that their results presentations lack sophistication. Furthermore, these shortcomings are not addressed in current 2.0 developments. It is argued that OPAC development should be made search-centered before additional features are applied. Although the recommendations on ranking functionality and the use of user intentions are only conceptual and not yet applied to a library catalogue, practitioners will find recommendations for developing better OPACs in this chapter. In short, readers will find a systematic view on how the search engines’ strengths can be applied to improving libraries’ online catalogs.

This paper aims to assess the contribution of the UN’s Principles for Responsible Management Education (PRME) in higher education, covering education, research and outreach in Brazilian higher education institutions (HEIs) after becoming signatories.

Teachers representing Brazilian HEI signatories to the PRME were interviewed. The IRAMUTEQ software was used for content analysis, descending hierarchical classification and similarity tree, allowing to quantify the quality variables originating from the professors’ beliefs and opinions.

The PRME helps Brazilian HEIs to review or create disciplines related to responsible management education and adopt transdisciplinarity for sustainability. The signatories’ PRME-influenced research is interdisciplinary, focusing on the UN’s Sustainable Development Goals (SDGs). Social responsibility is promoted through local-community projects, while partnerships, initiatives and innovative pedagogies from foreign-signatory HEIs provide international experiences for teachers and students. However, within one initiative, which had 170 signatories in 2008 and over 800 in 2020, indicators should be formulated to analyze and enhance HEIs’ sustainability profile. The PRME contributes to educating young people and adults in Brazil via education, research or outreach; however, this contribution needs to be assessed.

Prior studies have not collected data through interviews to consider professors’ perspectives on the PRME’s contribution to signatory HEIs in Brazil. This study interviewed professors involved with the PRME to broaden their understanding beyond bibliometrics and assess the alignment of the PRME and UN SDGs.

The purpose of this paper is to propose a novel collaborative trend prediction method to estimate the status of trending topics by crowdsourcing the wisdom in web search engines. Government officials and decision makers can take advantage of the proposed method to effectively analyze various trending topics and make appropriate decisions in response to fast-changing national and international situations or popular opinions.

In this study, a crowdsourced-wisdom-based feature selection method was designed to select representative indicators showing trending topics and concerns of the general public. The authors also designed a novel prediction method to estimate the trending topic statuses by crowdsourcing public opinion in web search engines.

The authors’ proposed method achieved better results than traditional trend prediction methods and successfully predict trending topic statuses by using the crowdsourced wisdom of web search engines.

This paper proposes a novel collaborative trend prediction method and applied it to various trending topics. The experimental results show that the authors’ method can successfully estimate the trending topic statuses and outperform other baseline methods. To the best of the authors’ knowledge, this is the first such attempt to predict trending topic statuses by using the crowdsourced wisdom of web search engines.

This paper aims to discuss and test the claim that utilization of the personalization techniques can be valuable to improve the efficiency of collaborative information retrieval (CIR) systems.

A new personalized CIR system, called PERCIRS, is presented based on the user profile similarity calculation (UPSC) formulas. To this aim, the paper proposes several UPSC formulas as well as two techniques to evaluate them. As the proposed CIR system is personalized, it could not be evaluated by Cranfield, like evaluation techniques (e.g. TREC). Hence, this paper proposes a new user‐centric mechanism, which enables PERCIRS to be evaluated. This mechanism is generic and can be used to evaluate any other personalized IR system.

The results show that among the proposed UPSC formulas in this paper, the (query‐document)‐graph based formula is the most effective. After integrating this formula into PERCIRS and comparing it with nine other IR systems, it is concluded that the results of the system are better than the other IR systems. In addition, the paper shows that the complexity of the system is less that the complexity of the other CIR systems.

This system asks the users to explicitly rank the returned documents, while explicit ranking is still not widespread enough. However it believes that the users should actively participate in the IR process in order to aptly satisfy their needs to information.

The value of this paper lies in combining collaborative and personalized IR, as well as introducing a mechanism which enables the personalized IR system to be evaluated. The proposed evaluation mechanism is very valuable for developers of personalized IR systems. The paper also introduces some significant user profile similarity calculation formulas, and two techniques to evaluate them. These formulas can also be used to find the user's community in the social networks.