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This review article is focused on the following research questions: RQ1: What are the methods used by authors to collect data in order to evaluate one's profile? RQ2: What are the classification algorithms and ranking metrics used to give suggestions to users? RQ3: How effective are these algorithms and metrics identified in RQ2?

There are four major systematic review phases being carried out in this survey, namely the formulation of research questions, conducting the review, which includes the selection of articles and appraising evidence quality, data extraction and narrative data synthesis.

Collecting from primary sources is more personalized and relevant. Embedded skill sets that have a considerable impact on one’s career aspirations could be mined from secondary sources. A hybrid recommender system helped mitigate the limitations of both. The effectiveness of the models depends not only rely on the filtering techniques used but also on the metrics used to measure similarity and the frequency of words or phrases used in a document.

The study benefits internship program coordinators of a university aiming to develop a recommender or matching system platform for their students. The content of the study may shed a light on how university decision-makers can explore options on what are the techniques or algorithms to be integrated. One of the advantages of internship or industrial training programs is that they would help students align them with their career goals. Research studies have discussed other RS filtering techniques apart from the three major filtering techniques.

The outcome of the study, which is a recommendation system to match a student's profile with the knowledge and skills being sought by organizations, may help ease the challenges encountered by both parties. The study benefits internship coordinators of a university who are planning to create a recommendation system, an innovative project to be used in teaching and learning.

Internship programs can help a student grow personally and professionally. A university student looking for internship opportunities can find it a daunting task to undertake, as there is a vast pool of opportunities offered in the market. The confidence levels needed to match their knowledge, skills and career goals with the job descriptions (JDs) could be challenging. The same holds with companies, as finding the right people for the right job is a tough endeavor. The main objective of conducting this study is to identify models implemented in recommendation systems to give and/or rank suggestions given to users.

While surveys regarding recommender systems (RS) exist, there are gaps in the presentation of various data collection methods and the comparison of recommendation filtering techniques used for both primary and secondary sources of data. Most recommendation systems for internship programs are intended for European universities and not much for Southeast Asia. There are also a limited number of comparative studies or systematic review articles related to recommendation systems for internship programs offered in an Southeast Asian landscape. Systematic reviews on the usability of the proposed recommendation systems are also limited. The study presents reviews of articles, from data collection and techniques used to the usability of the proposed recommendation systems, which were presented in the articles being studied.

This paper addresses a gap in research literature in the fields of blockchain technology (BC), supply chain network dynamics (SC) and network effect phenomena (NE). Extant BC and SC literature describes the potential benefits to be reaped through the adoption of BC technology. While BC technology does not yet meet the researched expectations of adoption, performance and efficacy, the authors analyze the three inter-related fields (BC, SC and NE) to bridge this gap in theory.

This paper begins with a research review correlating the technological fundamentals of BC technology into fundamental value propositions for SC logistics contexts. The authors review the gap between these theoretical technological functions and the current ecosystem of BC applications. With an overarching understanding of BC in SC contexts, this paper then explores the phenomena of NE and attempts to synthesize various interrelated aspects of the three fields (BC, SC and NE). Research frameworks from extant literature are used for cross-comparing legacy software/information system solutions with potential and existing BC-based solutions. Case studies are utilized to support this analysis.

Several key considerations and themes are identified to better inform practitioner and researcher decision-making. Novel insights pertain to BC platform architecture and application modularity, integrated governance and decision-making capabilities, and the automation capabilities that arise from a healthy application and smart contract ecosystem.

The core contribution is the synthesis of network effect theory with SC phenomena and BC theory and the exploration of how these three fields are inter-related in the maturation of BC technology. Specifically, the authors deepen insights from extant literature by contextualizing findings with relevant interdisciplinary theoretical frameworks.

The purpose of this paper is to shed light on the remarkable trend of multisided platforms (MSPs) in the travel industry with the help of which travel agencies (TAs) and global distribution systems (GDSs) can reinforce their intermediary roles. Orthodox TAs face the threats of disintermediation because of the ever faster-changing developments in information and communication technologies, such as the emergence of metasearch engines, online travel agencies, direct bookings on airline websites and the widespread of mobile applications for travel related bookings. GDSs face similar threats of disintermediation from low-cost carriers and legacy carriers, as these carriers promote and encourage direct bookings via their official websites or via the new distribution capability.

This is a casestudy-oriented research, and the case selected is a MSP based in Turkey. The data are gathered using semi-structured interviews conducted from 15 international representatives of this MSP in different countries. Interviews were conducted either physically at the MSP’s headquarters in Antalya, Turkey, or virtually using Zoom application from January to October 2019.

The paper portrays the significance of MSPs in terms of their contributions toward the reintermediation of the two important intermediaries, namely, TAs and GDSs in the travel industry supply chain. Both of them are prone to the dangers of disintermediation because of the developments in technology, networking and communication channels; the worldwide accessibility of the stakeholders to the internet; and the direct reach of suppliers to consumers. The deteriorating role of TAs and GDSs is reignited by the successful launch, deployment and adoption of MSPs in the ecosystem of the travel industry.

This paper offers an insight into the prevailing trend of MSPs in business to business (B2B) trading from the perspective of two main intermediaries, TAs and GDSs, in the supply chain of the travel industry. The paper in a novel way compiles the data from the interviews to shed light on the adoption of MSPs by intermediaries in their business models to reintermediate themselves because the sole reliance of intermediaries on orthodox business models is pushing them on to the verge of disintermediation.

This paper analyzes global interest in Internet information about decentralized finance (DeFi), embedded finance (EmFi), open finance (OpFi), ocean finance (OcFi) and sustainable finance (SuFi) and the relationship among them.

The paper used a comparative methodology based on regression and correlation analyses to assess global interest in Internet information about DeFi, EmFi, OpFi, OcFi and SuFi.

The findings reveal that global interest in Internet information about EmFi was more popular in Asian and European countries. Global web search for Internet information about OcFi decreased during the financial crisis while global web search for Internet information about OpFi and EmFi increased during financial crisis years. Global web search for Internet information about DeFi, SuFi and EmFi increased during the pandemic years. There is a significant and positive correlation between interest in DeFi, EmFi, OcFi and SuFi. Also, there is a significant and negative correlation between interest in EmFi and interest in OpFi. The regression coefficient matrix shows that OpFi, EmFi, OcFi, DeFi and SuFi are significantly related.

To the best of the author’s knowledge, this is the first paper that analyses the association between interest in DeFi, EmFi, OpFi, OcFi and SuFi. Thus, this study addressed an important knowledge gap in the literature by exploring people’s interest in Internet information about DeFi, EmFi, OpFi, OcFi and SuFi.

This paper presents an overview of embedded finance. It identifies the applications, use case examples, benefits and challenges of embedded finance. The paper also analyzes global interest in embedded finance and compares it with interest in related finance concepts such as open finance, open banking, decentralized finance, financial innovation, Fintech and digital finance.

Granger causality test and two-stage least square regression were used to assess interest over time in embedded finance.

The empirical result show that interest in embedded finance increased significantly during the COVID-19 pandemic. The United States, the United Kingdom and India witnessed the highest interest in embedded finance compared to other countries. There is bi-directional Granger causality between interest in information about embedded finance and interest in information about financial innovation. There is uni-directional Granger causality between interest in information about embedded finance and interest in information about digital finance and open finance. The findings also reveal that interest in decentralized finance and open finance are significant determinants of interest in embedded finance. On the other hand, interest in embedded finance is a significant determinant of interest in digital finance, decentralized finance, Fintech and open banking. Also, interest in embedded finance is significantly correlated with interest in digital finance, decentralized finance, open banking and Fintech.

Presently, there is little academic interest in embedded finance despite the fact that embedded finance is part of the on-going digital finance revolution. This paper fills this gap in the literature by assessing the benefits, use case, challenges of embedded finance.

Using and understanding social media in the context of networked publics enhances crisis communication. This chapter describes models and ideas for integrating social media into the communication strategies of rescue organisations. The authors develop their recommendations for the use of social media by these organisations from both a summary and comparison of communication processes during the 2013 Central European floods in Austria, and from the perspective of an organisation actively using social media in the chosen model region of Alkoven. The chapter presents basic recommendations, recommendations inspired by content strategy and recommendations based on web and social media literacy in order to support the further development of crisis communication in the digital age.

The purpose of this paper is to investigate the feasibility of an end-to-end simplified and automated reconstruction pipeline for digital building assets using the design science research approach. Current methods to create digital assets by capturing the state of existing buildings can provide high accuracy but are time-consuming, expensive and difficult.

Using design science research, this research identifies the need for a crowdsourced and cloud-based approach to reconstruct digital building assets. The research then develops and tests a fully functional smartphone application prototype. The proposed end-to-end smartphone workflow begins with data capture and ends with user applications.

The resulting implementation can achieve a realistic three-dimensional (3D) model characterized by different typologies, minimal trade-off in accuracy and low processing costs. By crowdsourcing the images, the proposed approach can reduce costs for asset reconstruction by an estimated 93% compared to manual modeling and 80% compared to locally processed reconstruction algorithms.

The resulting implementation achieves “good enough” reconstruction of as-is 3D models with minimal tradeoffs in accuracy compared to automated approaches and 15× cost savings compared to a manual approach. Potential facility management use cases include the issue and information tracking, 3D mark-up and multi-model configurators.

Through user engagement, development, testing and validation, this work demonstrates the feasibility and impact of a novel crowdsourced and cloud-based approach for the reconstruction of digital building assets.

Science policy and practice for open access (OA) books is a rapidly evolving area in the scholarly domain. However, there is much that remains unknown, including how many OA books there are and to what degree they are included in preservation coverage. The purpose of this study is to contribute towards filling this knowledge gap in order to advance both research and practice in the domain of OA books.

This study utilized open bibliometric data sources to aggregate a harmonized dataset of metadata records for OA books (data sources: the Directory of Open Access Books, OpenAIRE, OpenAlex, Scielo Books, The Lens, and WorldCat). This dataset was then cross-matched based on unique identifiers and book titles to openly available content listings of trusted preservation services (data sources: Cariniana Network, CLOCKSS, Global LOCKSS Network, and Portico). The web domains of the OA books were determined by querying the web addresses or digital object identifiers provided in the metadata of the bibliometric database entries.

In total, 396,995 unique records were identified from the OA book bibliometric sources, of which 19% were found to be included in at least one of the preservation services. The results suggest reason for concern for the long tail of OA books distributed at thousands of different web domains as these include volatile cloud storage or sometimes no longer contained the files at all.

Data quality issues, varying definitions of OA across services and inconsistent implementation of unique identifiers were discovered as key challenges. The study includes recommendations for publishers, libraries, data providers and preservation services for improving monitoring and practices for OA book preservation.

This study provides methodological and empirical findings for advancing the practices of OA book publishing, preservation and research.

The purpose of this paper is to present data that begin to detail the deficiencies of log file analytics reporting methods that are commonly built into institutional repository (IR) platforms. The authors propose a new method for collecting and reporting IR item download metrics. This paper introduces a web service prototype that captures activity that current analytics methods are likely to either miss or over-report.

Data were extracted from DSpace Solr logs of an IR and were cross-referenced with Google Analytics and Google Search Console data to directly compare Citable Content Downloads recorded by each method.

This study provides evidence that log file analytics data appear to grossly over-report due to traffic from robots that are difficult to identify and screen. The study also introduces a proof-of-concept prototype that makes the research method easily accessible to IR managers who seek accurate counts of Citable Content Downloads.

The method described in this paper does not account for direct access to Citable Content Downloads that originate outside Google Search properties.

This paper proposes that IR managers adopt a new reporting framework that classifies IR page views and download activity into three categories that communicate metrics about user activity related to the research process. It also proposes that IR managers rely on a hybrid of existing Google Services to improve reporting of Citable Content Downloads and offers a prototype web service where IR managers can test results for their repositories.

The study aims to embrace the lingering call for more empirical studies that can theorize the role of digital platforms in digital entrepreneurship. Hence, this study seeks to reveal the liminal space entrepreneurial experience of third-party application developers, by investigating how the platform boundary resources promote third-party entrepreneurial actions, as they transition through the disoriented, uncertain and ambiguous processes of digital entrepreneurship development.

To conduct this investigation, an expert interview qualitative method was used. This approach is a well-established technique in the field of social sciences, which allowed a detailed exploration of the theory of liminality. Liminality refers to the transitional phase that individuals or groups experience when moving from one social or cultural context to another. The expert interview method is appropriate for this study because it involves engaging with knowledgeable individuals who have extensive experience and expertise in the subject area being investigated. Through in-depth and unstructured interviews, the experts were able to provide valuable insights and perspectives about the phenomenon investigated.

The research findings demonstrate that digital platform boundary resources play a significant role in the behaviour of third-party developers’ who engage in the development of digital entrepreneurship in today’s market. The study highlights three ways that show how these resources (software development kit (SDK), API, integrated development environment (IDE), libraries, frameworks) enable third-party developers to create new applications that are used to pursue entrepreneurship in a digital platform, leading to increased user engagement and revenue generation.

The research addresses the critical roles of digital platform boundary resources in digital entrepreneurship development processes. Also, using liminality theory, the research explicated the core experiences of third-party developers as they navigated the challenges and ambiguities experienced in the pursuit of entrepreneurship. Thus, contributing to the existing body of knowledge in literature and practice.