Personalisation and recommender systems in digital libraries

Widespread use of the Internet has resulted in digital libraries that are increasingly used by diverse communities of users for diverse purposes and in which sharing and collaboration have become important social elements. As such libraries become commonplace, as their contents and services become more varied, and as their patrons become more experienced with computer technology, users will expect more sophisticated services from these libraries. A simple search function, normally an integral part of any digital library, increasingly leads to user frustration as user needs become more complex and as the volume of managed information increases. Proactive digital libraries, where the library evolves from being passive and untailored, are seen as offering great potential for addressing and overcoming these issues and include techniques such as personalisation and recommender systems. In this paper, following on from the DELOS/NSF Working Group on Personalisation and Recommender Systems for Digital Libraries, which met and reported during 2003, we present some background material on the scope of personalisation and recommender systems in digital libraries. We then outline the working group’s vision for the evolution of digital libraries and the role that personalisation and recommender systems will play, and we present a series of research challenges and specific recommendations and research priorities for the field

Managers' marketing alliance formation behavior : The role of external factors and managers' personality traits

Market conditions pose a considerable challenge for companies as they face the need to create value. Researchers as well as managers have repeatedly stressed the importance of alliances to cope with these challenges and to create value for customers. Research so far has addressed several aspects with regard to alliances, such as their formation, their management, and performance consequences. This research suggests that alliance formation is contingent on external conditions such as the competitive or the market environment and internal resource endowments. However, managerial characteristics as drivers of alliance formation have been largely neglected so far. Especially alliances in marketing pose a relevant research area due to their frequent occurrence and their large potential to impact companies’ performance. Despite this, the formation of marketing alliances has not been studied before. The objective of this study, therefore, is to investigate external drivers of marketing alliance formation as well as the impact of managerial characteristics in this context. Hypotheses are derived based on strategic behavior and resource dependency theories, RBV as well as the upper echelon’s perspective. To test the hypotheses, we follow an experimental research design and investigate managers’ marketing alliance formation propensity. Results show that competitive intensity has a positive impact and market maturity has a negative impact on marketing alliance formation propensity. We could also demonstrate the impact of managers’ personality traits. Marketing experience and managers’ proactive behavior have a positive effect on managers’ propensity to establish marketing alliances. Additionally, we find moderating effects of these personality traits. Companies which are planning engagement in marketing alliances should, therefore, be aware of the personality traits of key marketing decision makers

PERSONALIZED RECOMMENDATION OF MOBILE TOURISM: A MULTIDIMENSIONAL USER MODEL

With rapid advances in e-business and mobile technology, the personalized recommendation of mobile tourism becomes a critical issue for both researchers and practitioners. The big data, problems of new users and similar recommendations remain barriers for mobile tourism. Through a large dataset gathered by questionnaires, this paper develops a novel multidimensional user model from the perspective of context. The dimensions of our model include several factors: historical behaviour, context and demographic feature of users. To make a better understanding of the model, a case study was adopted. Besides, an experiment is also conducted to evaluate the performance of the proposed model. As a conclusion, limitations and future researches are discussed

Designing a novel virtual collaborative environment to support collaboration in design review meetings

Project review meetings are part of the project management process and are organised to assess progress and resolve any design conflicts to avoid delays in construction. One of the key challenges during a project review meeting is to bring the stakeholders together and use this time effectively to address design issues as quickly as possible. At present, current technology solutions based on BIM or CAD are information-centric and do not allow project teams to collectively explore the design from a range of perspectives and brainstorm ideas when design conflicts are encountered. This paper presents a system architecture that can be used to support multi-functional team collaboration more effectively during such design review meetings. The proposed architecture illustrates how information-centric BIM or CAD systems can be made human- and team-centric to enhance team communication and problem solving. An implementation of the proposed system architecture has been tested for its utility, likability and usefulness during design review meetings. The evaluation results suggest that the collaboration platform has the potential to enhance collaboration among multi-functional teams

Construct Validation Of A Learning & Talent Development Strategic Alignment Scale

The purpose of a Learning & Talent Development (LTD) function in organizations is to develop workforce capabilities to execute strategic priorities. A strategically aligned LTD function is perceived as a business partner and as an asset to the business. The study design followed a psychometrically validated scale development process with the goal of confirming a valid and reliable measure of strategic alignment in LTD functions. Three studies were performed to (1) generate and test the initial pool of items, (2) explore the factor structure, and (3) confirm the factor structure. The results of three studies produced a two-factor, 15-item factor structure for the LSDA scale with 58.143% total variance explained. The results of the study describe the type of relationship internal customers require to perceive the LTD function as aligned to the business and also addresses how LTD members that have a desire to be strategically aligned can proactively design and manage the relationship to gain cooperative work environments in which LTD can exercise its role in creating and modeling alignment

Data Science, Machine learning and big data in Digital Journalism: A survey of state-of-the-art, challenges and opportunities

Digital journalism has faced a dramatic change and media companies are challenged to use data science algo-rithms to be more competitive in a Big Data era. While this is a relatively new area of study in the media landscape, the use of machine learning and artificial intelligence has increased substantially over the last few years. In particular, the adoption of data science models for personalization and recommendation has attracted the attention of several media publishers. Following this trend, this paper presents a research literature analysis on the role of Data Science (DS) in Digital Journalism (DJ). Specifically, the aim is to present a critical literature review, synthetizing the main application areas of DS in DJ, highlighting research gaps, challenges, and op-portunities for future studies. Through a systematic literature review integrating bibliometric search, text min-ing, and qualitative discussion, the relevant literature was identified and extensively analyzed. The review reveals an increasing use of DS methods in DJ, with almost 47% of the research being published in the last three years. An hierarchical clustering highlighted six main research domains focused on text mining, event extraction, online comment analysis, recommendation systems, automated journalism, and exploratory data analysis along with some machine learning approaches. Future research directions comprise developing models to improve personalization and engagement features, exploring recommendation algorithms, testing new automated jour-nalism solutions, and improving paywall mechanisms.Acknowledgements This work was supported by the FCT-Funda?a ? o para a Ciência e Tecnologia, under the Projects: UIDB/04466/2020, UIDP/04466/2020, and UIDB/00319/2020

Strategies to Mitigate Supply Chain Disruption Risks

Businesses with global supply chains typically have a minimum of 1 interruption to their supply chain annually, which can decrease profitability and affect overall company performance. The purpose of this multiple case study was to explore strategies personal care business supply chain managers used to mitigate supply chain disruption risk. The targeted population was 9 supply chain managers working in 5 different Fortune 500 consumer packaged goods personal care companies in the northeastern United States who have successfully used strategies to mitigate supply chain disruptions. Corporate risk management was used as the conceptual framework of the study to determine how company leaders plan for supply chain disruptions and how leaders prioritize and resource implementation and assessment of these plans. Data collection included semistructured interviews, with review of each company\u27s documents as the secondary source of data. Data were analyzed using thematic analysis. Two main themes emerged: identification of a qualified alternative supplier is a common strategy in supply chain disruption mitigation plans, and business top management support is essential in the execution of supply chain disruption plans and strategies. Results of this study might contribute to social change by empowering supply managers to make alternative choices relative to suppliers that will make products more affordable to consumers. An empowered supply management team leads to high return of investments for companies, which can support employment and additional tax revenue to support social programs

Transitioning Business-to-Business Marketing Communications to Social Media

There has been a movement toward digital media marketing channels away from the traditional media marketing channels in the realm of business-to-business (B2B) marketing. This transformation is more than mere semantics. It reflects the recent integration of digital strategies including blogging, social media, and email marketing by B2B marketers. A greater commitment to driving return on investment (ROI) and tracking movement through a website is seen in these strategies. In the rapidly changing digital landscape of B2B marketing, there is a focused emphasis on analytics, which reveals a sharp contrast between traditional media channels and social networking. With traditional media, marketers know very little about the level of success achieved by a campaign because the tools for tracking performance are mostly inferential. With digital media, results can be obtained in real-time, through the big data and plentiful content that is readily available for analysis. The challenge presented by this phenomenon is to make sense of the new paradigm created in B2B marketing by the social media platform. The purpose of this study is to analyze the literature and determine the best strategies that lead to the successful implementation of a B2B marketing program on social media. Evidence-based research was used to analyze how small business owners can successfully transition from traditional media channels to social media channels. They must engage in knowledge acquisition, resource development, strategic planning, and performance measurement. This project will contribute to existing literature from a small business perspective by creating a clear representation of a B2B marketing approach in the Information Age by considering the usage of digital media and the factors that influence the operationalization of networking

ERP implementation methodologies and frameworks: a literature review

Enterprise Resource Planning (ERP) implementation is a complex and vibrant process, one that involves a combination of technological and organizational interactions. Often an ERP implementation project is the single largest IT project that an organization has ever launched and requires a mutual fit of system and organization. Also the concept of an ERP implementation supporting business processes across many different departments is not a generic, rigid and uniform concept and depends on variety of factors. As a result, the issues addressing the ERP implementation process have been one of the major concerns in industry. Therefore ERP implementation receives attention from practitioners and scholars and both, business as well as academic literature is abundant and not always very conclusive or coherent. However, research on ERP systems so far has been mainly focused on diffusion, use and impact issues. Less attention has been given to the methods used during the configuration and the implementation of ERP systems, even though they are commonly used in practice, they still remain largely unexplored and undocumented in Information Systems research. So, the academic relevance of this research is the contribution to the existing body of scientific knowledge. An annotated brief literature review is done in order to evaluate the current state of the existing academic literature. The purpose is to present a systematic overview of relevant ERP implementation methodologies and frameworks as a desire for achieving a better taxonomy of ERP implementation methodologies. This paper is useful to researchers who are interested in ERP implementation methodologies and frameworks. Results will serve as an input for a classification of the existing ERP implementation methodologies and frameworks. Also, this paper aims also at the professional ERP community involved in the process of ERP implementation by promoting a better understanding of ERP implementation methodologies and frameworks, its variety and history