Poster explores the possibilities of using QR codes to provide library services, including book recommendations, quick access to online resources, and complaint reporting.

Poster shows the results of a study that closely examines the transaction logs of e-journal databases over a one-year period at the University of Engineering and Technology, Lahore.

Presentation discusses how the topic of data ethics has historically been addressed in LIS research, and takes a close look at the key research themes of privacy, research ethics, ethical ecosystems, and control in the papers found.

Twitter is one of the major social media platforms highlighting public opinion. With over 330 million users across the globe, Twitter provides insights into global sentiments on many topics. One can estimate global sentiments towards certain events relating to COVID-19 by analyzing the most common phrases and their related sentiment scores from Twitter API data. This project has compiled the most used trigrams in tweets relating to COVID-19 to calculate sentiment scores for the period from March 22 to August 7, 2020. Another goal of the project is to optimize data collection from Twitter API. Twitter limits access to tweet contents to 900 requests per 15 minutes for unpaid API users. For student data scientists, paying for increased API usage is financially infeasible. So, to deal with the rate limit, the project has written functions using the Tweepy python library to collect Twitter API data. The Pandas library has also been used to sample 139000 tweets from over 300 million. The IEEE Dataset provided sentiment scores for the full population. So, to check the integrity of my sample, I performed a Pearson correlation test between the full dataset and sample data, and got 0.84, showing the sample is representative of …

The 17th International Conference on Knowledge Management was held in the historic city of Potsdam, Germany. Since the conference was among the first post-pandemic face to face conferences, the overall theme of the 17th edition of the ICKM conference rightly focused on “Knowledge, Uncertainty and Risks: From individual to global scale” at different levels of analysis and agency. This poster highlights the qualitative study which was conducted in a major regional hospital in Germany, using the FRAM to analyze the recurrent and complex process of surgical care preparation in the morning. The aim was to offer the hospital a detailed qualitative analysis to promote resilience and maintain a safe state of operating during this process. The FRAM illustrated relevant system functions and unveiled sources as well as effects or variabilities that are now in the process of being evaluated according to appropriate goals and values. In this way, the FRAM illuminates hidden but relevant knowledge, so to speak tacit knowledge, within a complex sociotechnical system that is difficult or impossible to identify otherwise.

The 17th International Conference on Knowledge Management was held in the historic city of Potsdam, Germany. Since the conference was among the first post-pandemic face to face conferences, the overall theme of the 17th edition of the ICKM conference rightly focused on “Knowledge, Uncertainty and Risks: From individual to global scale” at different levels of analysis and agency. This poster demonstrates the GuruScan in a practical interactive session. The presenter setup an online GuruScan Knowledge Booster, so audience can experience the power and speed of Expert created knowledge connections themselves.

Business competition increasingly involves entire supply chains (SCs) rather than individual firms. Thus, knowledge, which is a strategic resource for companies, needs to be managed properly not only in single firms, but also at inter-firm level and in SCs, so that companies can coordinate and co-manage resources, activities, and innovative efforts in collaboration with their partners for improved competitiveness. To this end, knowledge management (KM) practices and their adoption for the effective management of SC inter-firm relationships can be of great help, but the current studies on this aspect are very fragmented, and there is still insufficient knowledge of what practices are adopted to manage knowledge in inter-firm relationships and how intensely these are used. This study contributes to filling this gap by measuring the adoption and intensity of KM practices and comparing their use at the intra- and inter-firm level. A survey of a sample of European large and medium-sized manufacturing firms was used. A descriptive statistical analysis and a correlation analysis were performed on the collected data. The study confirms that KM practices are less used at the inter-firm level. Also, a relative higher variation is depicted among firms in the use of the proposed practices at inter-firm …