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To better respond to user needs for personalized information services in the context of academic libraries, this study aims at developing a prototype to provide mobile curation services by using the concept of content curation.

This study used a mobile application software development process, which consisted of five phases: user and organizational requirements, architecture design, navigation design, page design and implementation and usability testing. Usability testing was conducted with a total of 20 college students by online surveys at a university.

Meta-analysis identified key user needs: diversification of services, more personalized services, active communication with librarians, quality improvement of information and interface improvement. User and organizational requirements derived four main service modules – namely, Curation Services, Live Chat, My Page and My Log. Usability testing regarding ease of use, perceived usefulness and satisfaction indicated that participants were satisfied with the prototype.

The study extends the discussion of quality academic library services by introducing the concept of content curation that uses the advantages of mobile technologies to overcome existing limitations in library services insufficient for meeting individual user needs.

Although many studies have discussed mobile library services, few studies have focused on developing a system for such services. The model developed in the study fills the research gap. Above all, the key modules specified by the prototype – Curation Services, Live Chat, My Page and My Log services – are expected to improve existing research and learning support services currently offered by academic libraries.

The purpose of this paper is to test the influence of various content cues and characteristics on the followers’ online expressions of relationship quality. Second, the research aims to understand the moderating effects of content curation.

The sample comprised of 100 posts and 29,000 comments that were sourced from the Facebook pages of the Democratic Party and the Republican Party. The content was coded using the prior literature. Comments were manually coded using a deductive approach and captured the dimensions of relationship quality. Multiple regression was used to confirm the hypotheses.

Visuals, content popularity, volume of comments and content’s length have a positive effect on voters’ expressions of relationship quality. However, source credibility, argument quality, valence and interactivity did not have an impact. Additionally, content curation negatively moderated the effects of length and interactivity on expressions of relationship quality.

The findings emphasise the use of peripheral cues rather than the central route. Curating interactive and lengthy content should be avoided, however, curation of images and videos is well received.

The research contributes to the literature by understanding the role of marketer-generated content in building online relationships. Additionally, it explores the distinct impacts of created and curated content.

The purpose of this paper is to examine the concept of professional competency in current digital curation literature through the lens of competency theories in management science and organizational studies. This paper also aims to provide recommendations to articulate and expand professional competencies in future digital curation research and professional education.

The outcomes presented in this paper are based on a multi-disciplinary literature review and a qualitative content analysis. The literature review explores theoretical foundations of professional competency in management science and organizational studies and how the concept of professional competency is used in digital curation literature. The content analysis scrutinizes 16 digital curation publications that have discussed professional competency, with an in-depth examination of seven empirical studies in these publications.

The findings include: the concept of professional competency is inconsistently used in digital curation literature, the digital curation literature exhibits disparate coverage of different types of professional competencies, and the digital curation empirical studies often narrowly operationalize the concept of professional competency but the empirical studies using multiple or in-depth qualitative methods yield more comprehensive findings reflecting a broader scope of the concept.

Although past research focused on the competencies required for digital curation, there is no research scrutinizing the conceptual construct of professional competency in the digital curation literature. This paper will be of value to digital curation researchers and educators to better determine the competencies needed for digital curators as an emerging profession.

This study aims to present the results of a survey of library and information science (LIS) schools' websites used to determine if the number of data curation courses offered is adequate to address the needs of the so‐called “data deluge”. Many authors have identified a gap in the education of LIS students for data curation.

This study surveyed the websites of LIS schools in North America to identify data curation courses. It reviewed and analyzed course descriptions, objectives and syllabi (when available) as well as compared course objectives, requirements, topics, assignments, and projects of the identified courses.

Of the 52 LIS schools in North America's websites examined in this study, 16 institutions offered courses on data curation. The increase in the number of schools offering courses in data curation showed that LIS schools are responding to the demand for data curation professionals. More LIS schools need to add data curation to their curriculum. LIS schools currently offering data curation courses should continue to work together to determine the optimal course objectives and learning outcomes.

Although there are several papers focused on particular data curation programs at a few universities, there are no papers that provide an overall view of the status of data curation education in higher education institutions today. This research will be of value and interest to LIS educators and professionals to determine if there is adequate education in place and to identify and evaluate the current state of data curation education.

The purpose of this paper is to explore the various application of artificial intelligence (AI) to social media and digital advertising professionals and agencies to specialize to an advanced degree and maintain collaboration and creativity to bring a better return on investment.

Digital marketers are still oblivious to the importance of AI application, while some others simply do not know how to implement it. AI is currently acting as a significant disruption in digital and social media marketing worldwide.

Based on the literature review, the paper identifies the various AI applications in the field of digital media marketing.

This paper can serve as a useful guide for social media marketers to implement AI applications to impact digital marketing strategies better.

This study aims to describe how open educational resources (OERs) were used in a system-wide, competency-based higher education program. It discusses barriers encountered, solutions developed and suggestions for future research on OER-focused curricula for self-directed learners. The case demonstrates practical application of the best practices for OER usage and contributes to discussions among the open education community about what constitutes quality OERs and how quality measures can help instructors select the best available OER.

This case study uses a reflective approach to describe what the organization did to facilitate OER use in University of Wisconsin Flexible Option. The authors reflect on tools and processes used and highlight alignment with best practices from OER literature.

This case confirms that there are challenges associated with OERs, especially for faculty with limited experience using them. It also offers insights into how to evaluate and curate OERs and confirms that students are generally satisfied when OERs are used as primary learning resources.

Formal research was not conducted. This case provides a starting point for potential future research about the use of OERs by self-directed, competency-based students.

Practical implications of this case study include concrete tools and methods faculty and instructional designers can use to locate, evaluate and curate OERs. This case study highlights the role OERs can play in increasing overall satisfaction with learning resources while decreasing students’ costs.

This case ties unique needs of self-directed, competency-based learners with the use of OERs, addressing two overarching questions about OERs: what constitutes a quality OER? and how is quality measured?

As algorithms permeate nearly every aspect of digital life, artificial intelligence (AI) systems exert a growing influence on human behavior in the digital milieu. Despite its popularity, little is known about the roles and effects of algorithmic literacy (AL) on user acceptance. The purpose of this study is to contextualize AL in the AI environment by empirically examining the role of AL in developing users' information processing in algorithms. The authors analyze how users engage with over-the-top (OTT) platforms, what awareness the user has of the algorithmic platform and how awareness of AL may impact their interaction with these systems.

This study employed multiple-group equivalence methods to compare two group invariance and the hypotheses concerning differences in the effects of AL. The method examined how AL helps users to envisage, understand and work with algorithms, depending on their understanding of the control of the information flow embedded within them.

Our findings clarify what functions AL plays in the adoption of OTT platforms and how users experience algorithms, particularly in contexts where AI is used in OTT algorithms to provide personalized recommendations. The results point to the heuristic functions of AL in connection with its ties in trust and ensuing attitude and behavior. Heuristic processes using AL strongly affect the credibility of recommendations and the way users understand the accuracy and personalization of results. The authors argue that critical assessment of AL must be understood not just about how it is used to evaluate the trust of service, but also regarding how it is performatively related in the modeling of algorithmic personalization.

The relation of AL and trust in an algorithm lends strategic direction in developing user-centered algorithms in OTT contexts. As the AI industry has faced decreasing credibility, the role of user trust will surely give insights on credibility and trust in algorithms. To better understand how to cultivate a sense of literacy regarding algorithm consumption, the AI industry could provide examples of what positive engagement with algorithm platforms looks like.

User cognitive processes of AL provide conceptual frameworks for algorithm services and a practical guideline for the design of OTT services. Framing the cognitive process of AL in reference to trust has made relevant contributions to the ongoing debate surrounding algorithms and literacy. While the topic of AL is widely recognized, empirical evidence on the effects of AL is relatively rare, particularly from the user's behavioral perspective. No formal theoretical model of algorithmic decision-making based on the dual processing model has been researched.

Digital markets are increasingly constructed by an interplay between (non)human market actors, i.e. through algorithms, but, simultaneously, fragmented through platformization. This study aims to explore how interactional dynamics between (non)human market actors co-codify markets through expressive and networked content across social media platforms.

This study applies digital methods as cross-platform analysis to analyze two data sets retrieved from YouTube and Instagram using the keywords “sustainable fashion” and #sustainablefashion, respectively.

The study shows how interactional dynamics between (non)human market actors, co-codify markets across two social media platforms, i.e. YouTube and Instagram. The authors introduce the notion of sticky market webs of connection, illustrating how these dynamics foster cross-platform market codification through relations of exteriority.

Research implications highlight the necessity to account for all involved entities, including digital infrastructure in digital markets and the methodological potential of cross-platform analyses.

Practical implications highlight considerations managers should take into account when designing market communication for digital markets composed of (non)human market actors.

Social implications highlight the possible effects of (non)human market co-codification on markets and consumer culture, and corresponding countermeasures.

This study contributes to an increased understanding of digital market dynamics by illuminating interdependent market co-codification dynamics between (non)human market actors, and how these dynamics (de)territorialize digital market assemblages through relations of exteriority across platforms.

The purpose of this paper is to advance the theoretical development of the content marketing concept and its integration into high-tech marketing theory, in entrepreneurial contexts and from a business model innovation perspective.

The paper provides a conceptual overview of content marketing and business model innovation concerning high-tech entrepreneurs.

The high-tech entrepreneurial content marketing (HIT-ECM) framework has five delineating elements with a small high-tech firm as the focal point: adapting content marketing in the business model, customizing content and customer profiling, organizational learning and experimenting with the business model, building strategic networks and content marketing and the small high-tech firm’s business model innovation. The HIT-ECM framework considers how high-tech entrepreneurs capitalize on their capabilities and use innovative marketing strategies to sell their high-tech solutions under unpredictable conditions and limited resources.

From a managerial perspective, HIT-ECM poses five questions managers should ask themselves when they adopt content marketing and integrate it into their existing business models: how can content create value, how novel content development activities reflect on innovating the business model, how will content development reflect on the business model structure, who is involved and what are the revenue streams of content development.

This is an original paper that presents the HIT-ECM framework for high-tech entrepreneurs to use content marketing and capture customer value through every aspect of their business operations, as well as updating and innovating their business models.

The purpose of this investigation is to analyze information on the web and its preservation as the digital heritage of events related to climate change and the environment in Portugal and Brazil, thus contributing to web preservation in the Ibero-American context.

A theoretical and applied investigation using mixed methods to collect and analyze qualitative and quantitative data from three sources: the Internet Archive and the public collection of Archive-It, the Portuguese web archive, and a selection from collections compiled by a research group (UFRGS) on web archiving and digital archiving in Brazil.

Web archive initiatives started in 1996; however, over the years collections have narrowed from nationally relevant themes to specialized thematic niches. The theme “climate change” has had an increasing impact on scientific and mainstream discussion in the 2000s, and by 2010 the over-arching theme became focused on digital preservation of web content, as demonstrated in this study. Failure to preserve data can lead to a rapid loss of climate change information, due to the inherent ephemerality of the web.

The paper demonstrates the relevance of preserving web content on climate change by showing what has been preserved to date and what will need to be preserved in the future.