scholarly journals UR: SMART–A tool for analyzing social media content

2021 ◽  
Author(s):  
Josef Schwaiger ◽  
Timo Hammerl ◽  
Johannsen Florian ◽  
Susanne Leist
Keyword(s):  
Social Media ◽  
Financial Institution ◽  
Design Science ◽  
Software Tool ◽  
Science Research ◽  
Automated Analysis ◽  
Online Forums ◽  
Software Usability ◽  
Important Field ◽  
The Right

AbstractThe digital transformation, with its ongoing trend towards electronic business, confronts companies with increasingly growing amounts of data which have to be processed, stored and analyzed. Instant access to the “right” information at the time it is needed is crucial and thus, the use of techniques for the handling of big amounts of unstructured data, in particular, becomes a competitive advantage. In this context, one important field of application is digital marketing, because sophisticated data analysis allows companies to gain deeper insights into customer needs and behavior based on their reviews, complaints as well as posts in online forums or social networks. However, existing tools for the automated analysis of social content often focus on one general approach by either prioritizing the analysis of the posts’ semantics or the analysis of pure numbers (e.g., sum of likes or shares). Hence, this design science research project develops the software tool UR:SMART, which supports the analysis of social media data by combining different kinds of analysis methods. This allows deep insights into users’ needs and opinions and therefore prepares the ground for the further interpretation of the voice. The applicability of UR:SMART is demonstrated at a German financial institution. Furthermore, the usability is evaluated with the help of a SUMI (Software Usability Measurement Inventory) study, which shows the tool’s usefulness to support social media analyses from the users’ perspective.

Building social media-based knowledge ecosystems for enhancing business resilience through mass collaboration

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Ji Yu ◽  
David J. Pauleen ◽  
Nazim Taskin ◽  
Hamed Jafarzadeh
Keyword(s):  
Social Media ◽  
Knowledge Creation ◽  
Data Analytics ◽  
Design Science ◽  
Science Research ◽  
Content Type ◽  
Health Events ◽  
Innovation Research ◽  
Mass Collaboration ◽  
New Business

Purpose The outbreak of COVID-19 is one of the most serious health events in recent times. In the business landscape, its effects may be more detrimental to micro-, small- and medium-sized enterprises (MSMEs) because they tend to have limited financial and human resources to manage the challenges caused by COVID-19. To help MSMEs enhance their resilience, this paper aims to discuss how they can leverage mass collaboration to build social media-based knowledge ecosystems to manage interactions among internal and external stakeholders for knowledge creation and innovation. Design/methodology/approach The paper proposes a model for MSMEs to build an online knowledge ecosystem and a standalone text analytics tool to use the advanced data analytics, e.g. topic modeling, to analyze and aggregate collective insights. Design science research methodology is used to develop the model and the tool. Findings Through mass collaboration using social media and advanced data analytics technology, MSMEs can generate new business ideas, leading to enhanced resilience to meet the challenges caused by COVID-19 or other unexpected or extraordinary circumstances, such as natural disasters and financial crises. Originality/value To the best of authors’ knowledge, this paper is one of the first papers in social media adoption for knowledge creation and innovation research, providing detailed approaches for MSMEs to build a knowledge ecosystem on social media and to use advanced data analytics to mine the meaning of the generated data.

scholarly journals DisBot: A Portuguese Disaster Support Dynamic Knowledge Chatbot

2020 ◽  
Vol 10 (24) ◽  
pp. 9082
Author(s):  
João Boné ◽  
João C. Ferreira ◽  
Ricardo Ribeiro ◽  
Gonçalo Cadete
Keyword(s):  
Decision Making ◽  
Social Media ◽  
State Of The Art ◽  
Design Science ◽  
Science Research ◽  
Design Science Research ◽  
Relevant Information ◽  
Knowledge Graph ◽  
Design Science Research Methodology ◽  
Safety Knowledge

This paper presents DisBot, the first Portuguese speaking chatbot that uses social media retrieved knowledge to support citizens and first-responders in disaster scenarios, in order to improve community resilience and decision-making. It was developed and tested using Design Science Research Methodology (DSRM), being progressively matured with field specialists through several design and development iterations. DisBot uses a state-of-the-art Dual Intent Entity Transformer (DIET) architecture to classify user intents, and makes use of several dialogue policies for managing user conversations, as well as storing relevant information to be used in further dialogue turns. To generate responses, it uses real-world safety knowledge, and infers a dynamic knowledge graph that is dynamically updated in real-time by a disaster-related knowledge extraction tool, presented in previous works. Through its development iterations, DisBot has been validated by field specialists, who have considered it to be a valuable asset in disaster management.

scholarly journals Image Quality Ranking Method for Microscopy

2016 ◽  
Vol 6 (1) ◽  
Author(s):  
Sami Koho ◽  
Elnaz Fazeli ◽  
John E. Eriksson ◽  
Pekka E. Hänninen
Keyword(s):  
Image Quality ◽  
Image Quality Assessment ◽  
Software Tool ◽  
Automated Analysis ◽  
Ranking Method ◽  
Simple Method ◽  
Blind Image Quality Assessment ◽  
The Right ◽  
Quality Ranking ◽  
Blind Image

Abstract Automated analysis of microscope images is necessitated by the increased need for high-resolution follow up of events in time. Manually finding the right images to be analyzed, or eliminated from data analysis are common day-to-day problems in microscopy research today, and the constantly growing size of image datasets does not help the matter. We propose a simple method and a software tool for sorting images within a dataset, according to their relative quality. We demonstrate the applicability of our method in finding good quality images in a STED microscope sample preparation optimization image dataset. The results are validated by comparisons to subjective opinion scores, as well as five state-of-the-art blind image quality assessment methods. We also show how our method can be applied to eliminate useless out-of-focus images in a High-Content-Screening experiment. We further evaluate the ability of our image quality ranking method to detect out-of-focus images, by extensive simulations, and by comparing its performance against previously published, well-established microscopy autofocus metrics.

scholarly journals Information Technology Governance for Higher Education Institutions: A Multi-Country Study

Informatics ◽  
2021 ◽  
Vol 8 (2) ◽  
pp. 26
Author(s):  
Isaías Scalabrin Bianchi ◽  
Rui Dinis Sousa ◽  
Ruben Pereira
Keyword(s):  
Information Technology ◽  
Case Studies ◽  
Design Science ◽  
It Governance ◽  
Science Research ◽  
Baseline Model ◽  
Technology Governance ◽  
Information Technology Governance ◽  
Starting Point ◽  
The Right

Information Technology governance (ITG) calls for the definition and implementation of formal practices at the highest level in the organization, involving structures, processes and relational practices for the creation of business value from IT investments. However, determining the right ITG practices remains a complex endeavor. Previous studies identify IT governance practices used in the health and financial sectors. As universities have many unique characteristics, it is highly unlikely that the ITG experiences of the financial and health industry can be directly applied to universities. This study, using Design Science Research (DSR), develops a baseline with advised practices for the university sector. The analysis of thirty-four case studies from the literature review provides a set of practices as a starting point for the development of the baseline model proposal through multiple case studies involving interviews with IT directors, in ten universities in five countries: eight new practices emerge in this study. The model proposed was evaluated by experts. The result is a baseline model with adequate practices for IT governance in universities as well as a set of guidelines for its implementation. Findings revealed that is possible to extend the ITG practices’ baseline when looking at specific contexts.

scholarly journals Interactive Recommender System for Identifying Learning Partner

2021 ◽  
Vol 11 (6) ◽  
pp. 72-77
Author(s):  
Tanty Oktavia ◽  
◽  
Surya Sujarwo
Keyword(s):  
Higher Education ◽  
Recommender System ◽  
Learning Process ◽  
Selection Process ◽  
Design Science ◽  
Education Institution ◽  
Science Research ◽  
Global Perspective ◽  
Design Stage ◽  
The Right

— Currently, higher education must open their mindset to change the learning process. This process cannot still stay on a conventional process that only involved students and lecturers as learning participants because to capture what the current industry needs and the trend of knowledge, higher education institutions must collaborate with external parties as learning partners to give a global perspective about the industrial needs and trends. The process to identify a learning partner to contribute to the learning process is not easy way. The higher education institution must select which partner has appropriate skills and competency suitable for the subject’s course. Many parameters will be involved in the selection process to identify the right partner. In this proposed system, external parties in this context consist of professionals or educators from the external institution easily can be defined to be selected as learning partners based on their competency and experience, that listed on social media LinkedIn as a professional platform. The method to build this interactive recommender system in this study is based on design science research that identifies step by step design stage to propose the best way solution for the recommender system. The result of this study is an interactive recommender system that can help higher education to find out the best candidate for their learning partner so the collaboration of learning can be implemented effectively

scholarly journals The Cybersecurity Focus Area Maturity (CYSFAM) Model

2021 ◽  
Vol 1 (1) ◽  
pp. 119-139
Author(s):  
Bilge Yigit Ozkan ◽  
Sonny van Lingen ◽  
Marco Spruit
Keyword(s):  
Financial Institution ◽  
Design Science ◽  
Single Case ◽  
Science Research ◽  
Assessment Instrument ◽  
The Novel ◽  
The Many ◽  
The Cost ◽  
Assessment Questions

The cost of recovery after a cybersecurity attack is likely to be high and may result in the loss of business at the extremes. Evaluating the acquired cybersecurity capabilities and evolving them to a desired state in consideration of risks are inevitable. This research proposes the CYberSecurity Focus Area Maturity (CYSFAM) Model for assessing cybersecurity capabilities. In this design science research, CYSFAM was evaluated at a large financial institution. From the many cybersecurity standards, 11 encompassing focus areas were identified. An assessment instrument—containing 144 questions—was developed. The in-depth single case study demonstrates how and to what extent cybersecurity related deficiencies can be identified. The novel scoring metric has been proven to be adequate, but can be further improved upon. The evaluation results show that the assessment questions suit the case study target audience; the assessment can be performed within four hours; the organization recognizes itself in the result.

IT Governance Maturity Patterns in Portuguese Healthcare

2017 ◽  
pp. 24-52
Author(s):  
Ruben Pereira ◽  
Miguel Mira da Silva ◽  
Luís Velez Lapão
Keyword(s):  
Design Science ◽  
It Governance ◽  
Science Research ◽  
Design Science Research ◽  
Healthcare Services ◽  
Exploratory Research ◽  
Financial Industry ◽  
Use Of Technology ◽  
The Right ◽  
Future Work

The pervasive use of technology in organizations to address the increased services complexity has created a critical dependency on Information Technology (IT) that calls to a specific focus on IT Governance (ITG). However, determining the right ITG mechanisms remains a complex endeavor. This paper uses Design Science Research and proposes an exploratory research by analyzing ITG case studies to elicit possible ITG mechanisms patterns. Six interviews were performed in Portuguese healthcare services organizations to assess the ITG practices. Our goal is to build some theories (ITG mechanisms patterns), which we believe will guide healthcare services organizations about the advisable ITG mechanisms given their specific context. We also intend to elicit conclusions regarding the most relevant ITG mechanisms for Portuguese healthcare services organizations. Additionally, a comparison is made with the financial industry to identify improvement opportunities. We finish our work with limitations, contribution and future work.

Business/IT Alignment through IT Governance Patterns in Portuguese Healthcare

2014 ◽  
Vol 5 (1) ◽  
pp. 1-15 ◽  
Author(s):  
Ruben Pereira ◽  
Miguel Mira da Silva ◽  
Luís Velez Lapão
Keyword(s):  
Design Science ◽  
It Governance ◽  
Science Research ◽  
Healthcare Services ◽  
Exploratory Research ◽  
Financial Industry ◽  
It Alignment ◽  
Use Of Technology ◽  
The Right ◽  
Future Work

The pervasive use of technology in organizations to address the increased services complexity has created a critical dependency on information technology (IT) that calls to a specific focus on IT Governance (ITG). However, determining the right ITG mechanisms remains a complex endeavor. This paper uses Design Science Research and proposes an exploratory research by analyzing ITG case studies to elicit possible ITG mechanisms patterns. Six interviews were performed in Portuguese healthcare services organizations to assess the ITG practices. The goal of the authors is to build some theories (ITG mechanisms patterns), which will guide healthcare services organizations about the advisable ITG mechanisms given their specific context. The authors also intend to elicit conclusions regarding the most relevant ITG mechanisms for Portuguese healthcare services organizations. Additionally, a comparison is made with the financial industry to identify improvement opportunities. The authors finish the paper with limitations, contribution and future work.

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