Know the Knowledge of Your Students: A Flexible Analytics Tool for Student Exercises

2023 | DESRIST | Citations: 0

Authors: Aguirre Reid, Sören; Kammer, Frank; Schüller, Daria; Siepermann, Markus; Wölfer, Jonas

Abstract: Intelligent tutoring systems (ITS) have the power to influence lecturers’ practi ... Expand

Abstract: Intelligent tutoring systems (ITS) have the power to influence lecturers’ practices in the classroom and to improve students’ learning. Many ITS provide standardized analytical methods to evaluate classroom performance or the results of the exercises. But they lack more sophisticated, flexible and individual analyses. This paper presents an e-learning Analytics Tool (EAT) for an ITS that provides a dashboard with key figures and a flexible analytics board (FAB). This enables lecturers to analyze students’ performance in detail and identify misconceptions. For instance, the FAB allows us to classify student solutions, reveal conceptual errors in exercises, and analyze each part of an exercise. By this, common mistakes can be identified, and tailored feedback can be given to the students. Following the design science approach, the platform is designed in a general way so that it can be used for different types of exercises (e.g., Math, Excel, SQL). To assess the artifact, we conducted group interviews with German University lecturers from various courses. The results show that lecturers require a good overview of the submitted student solutions to provide timely feedback. They also appreciate the flexible analytics tool for detailed analyses of student solutions to understand student mistakes better. The employed architecture allows general analyses of exercises and the content of students’ solutions. In addition, the EAT is not bound to a specific kind of exercise, but can cope with different kinds like SQL and Excel. Collapse

Topics: digital dashboard structured query language database system online learning system perceived usefulness

Methods: group interview design science design artifact survey qualitative interview

Empirical Assessment of Big Data Technology Adoption Factors for Organizations with Data Storage Systems

2023 | Americas Conference on Information Systems | Citations: 0

Authors: Alnafoosi, Ahmad; Steinbach, Theresa A.

Abstract: Many organizations have on-premises data storage systems that are evolving; amo ... Expand

Abstract: Many organizations have on-premises data storage systems that are evolving; among them is Big Data (BD). BD is a data storage system that can analyze large volumes, with velocity, and a variety of data. Per the Economist, data is now the most valuable resource. BD holds the promise of unlocking substantial parts. Many organizations want to implement BD but have not been able to. There is a need to identify key factors affecting adoptions for such organizations. The following factors are identified as (novel): data storage latency, ability to compute, data storage interface compatibilities, open-source software, and enterprisesourced software, or (under-studied): cost, perceived industry pressure, legislation barriers, and market turbulence. These factors were studied empirically with DOI and TOE by conducting a survey and performing quantitative PLS-SEM analysis. This analysis showed that these adoption factors are significant: data storage interface compatibility, open-source, enterprise-source software, cost, industry pressure, and market turbulence. Collapse

Topics: computer data storage decision support system legal context open source social media

Methods: survey partial least squares path modeling partial least squares regression PLS tool survey design

Blockchain innovation for consent self-management in health information exchanges

2023 | Decision Support Systems | Citations: 0

Authors: Anderson, Chad; Carvalho, Arthur; Kaul, Mala; Merhout, Jeffrey W.

Abstract: With the increasing digitalization of health data, patients need to make informe ... Expand

Abstract: With the increasing digitalization of health data, patients need to make informed decisions about the online sharing of their protected health information. This necessitates a robust technical infrastructure that enables patients to self-manage consent and the trusted exchange of this information across sharing entities. Unfortu­ nately, current health information exchange systems in the U.S. are limited in both these regards. While there is recent work on digital patient consent management, there is limited work that provides effective solutions for patient self-management of consent. Further, interoperability issues in the way health information exchanges are currently architected and differences in regulations across localities exacerbate the challenges of consent man­ agement. In this research, we survey potential patients' willingness to self-manage healthcare-related consent. Having established the desire for consent self-management, we propose a solution that enables the seamless sharing of patient consent across different healthcare providers and health information exchanges. Specifically, we use a rigorous design science approach to create a blockchain-based, self-managed patient consent system and we evaluate the design through an instantiated prototype. The results of our study should be useful to researchers in healthcare information management as well as to practitioners designing consent management systems. Our research contributes to design science research with an innovative, rigorously evaluated, design principles-based artifact that addresses a critical problem of sharing protected health information. Collapse

Topics: blockchain mobile application information exchange privacy Ethereum

Methods: survey design artifact design science design process design principle

Theories: evidence-based design

Investigating Users' Continuous Adoption of Cryptocurrency

2023 | Americas Conference on Information Systems | Citations: 0

Authors: Abooleet, Saeed; Fang, Xiaowen

Abstract: ... Expand

Abstract: Collapse

Topics: cryptocurrency asset specificity Bitcoin decision making social media

Methods: statistical hypothesis test structural equation modeling survey partial least squares path modeling

Theories: transaction cost economics

Measuring the Actual Office Workspace Utilization in a Desk Sharing Environment Based on IoT Sensors

2023 | DESRIST | Citations: 0

Authors: Arz von Straussenburg, Arnold F.; Blazevic, Mevludin; Riehle, Dennis M.

Abstract: Businesses that follow the trend of flexible work arrangements with home offices ... Expand

Abstract: Businesses that follow the trend of flexible work arrangements with home offices and hybrid work models are increasingly utilizing desk sharing to allocate available desks in the office efficiently. In this work, we investigate the utilization of flexible work arrangements, specifically the implementation of desk sharing in hybrid work models. To optimize the occupancy rate of shared desks and simultaneously meet demand and save costs, it is crucial to have real-time knowledge of their availability which can be obtained by recording occupancy over time. We utilize the Design Science Research (DSR) methodology to develop a prototype solution for real-time monitoring of shared desks occupancy in hybrid work models. The proposed prototype is a low-cost solution utilizing Internet of Things (IoT) technology consisting of a motion sensor and accelerometer that collect occupancy data and transmit it via Long Range Wide Area Network (LoRaWAN). Signal processing utilizing cloud computing is employed to enhance the quality and accuracy of the data, which is subsequently made available through a web dashboard. The prototype’s effectiveness is evaluated through a small-scale pilot deployment in a real-world environment over a two-week period, with reference values obtained during periods of non-use serving as a benchmark for the evaluation. Collapse

Topics: mobile system internet of things digital dashboard application programming interface smart wearable device

Methods: design artifact wearables based research design science experiment descriptive statistic

Building Digital Trust to Protect Whistleblowers - A blockchain-based Reporting Channel

2023 | HICSS | Citations: 0

Authors: Asprion, Petra; Grieder, Hermann; Grimmberg, Frank; Moriggl, Pascal

Abstract: Organizations today need internal reporting channels to report illegal/unethical ... Expand

Abstract: Organizations today need internal reporting channels to report illegal/unethical misconduct. For this purpose, organizations set up one or more - often digital - internal reporting channels. Persons/Employees who want to report misconduct, so-called whistleblowers, expose themselves to reprisals and therefore need trustworthy reporting channels which ensure ´Digital Trust´. Blockchain, a technology that overcomes the need for trust due to its properties of immutability and integrity of data, could be promising as underlying technology for a digital reporting channel which is recognized as trustworthy. In our research, we explored multiple perspectives relevant to a trustworthy digital reporting system. Applying design science research, we evaluated the current state of the art of (digital) reporting channels and developed a prototypical blockchain-based reporting solution called “Integrity@Inside”. The prototype is being iteratively demonstrated and pre-evaluated. Collapse

Topics: blockchain electronic health privacy IT security usability

Methods: design artifact qualitative interview design process design science expert panel

Digital development: Stories of hope from health and social development By Sundeep Sahay, Arunima Mukherjee, Geoff Walsham, Thomas Hylland Eriksen, Warwickshire: Practical Action Publishing. 2022, 164 pp., paperback £23.95. ISBN 978-1-78853-206-8

2023 | Information Systems Journal | Citations: 0

Authors: Avgerou, Chrisanthi

Abstract: Geoff Walsham, a leading academic in the field of information technology for de ... Expand

Abstract: Geoff Walsham, a leading academic in the field of information technology for development, has repeatedly prompted information systems (IS) researchers to question whether they are making a better world with IT. And, as he argued, the world cannot be considered better if life conditions of vulnerable and disadvantaged populations in low-and middle-income countries (LMICs) do not improve. This book has a cautiously positive message. It contains stories of digital technologies used for social good in LMICs. So, where is hope to be found? Four of the case studies are about health information systems in India and Sri Lanka; the other four are about smartphones and IT systems helping various vulnerable and disadvantaged social groups, specifically: refugees on the move towards safe places; un-banked populations of poor communities; victims of ethnic violence in Kenya; and women victims of violence in Guatemala. Three authors of the book, Sundeep Sahay, Arunima Mukherjee and Geoff Walsham, are information systems scholars; the fourth, Thomas Hylland Eriksen, is an anthropologist. The writing is erudite but approachable-a pleasure to read. Several case studies draw from the extensive experience of Sundeep Sahay and Arunima Mukherjee as participants in the development of the underlying technology of these cases, the DHIS2 open-source software. They have facilitated the use of the DHIS2 platform for a variety of purposes in many countries. They have also been involved in a long-standing education programme at the University of Oslo that supports the implementation and use of DHIS2 in LMICs by developing local skills.Taking a socio-technical perspective, the case studies of IT systems are narratives of design, implementation, and management of technology in local initiatives to provide essential services and address social problems. The case studies of smartphone use by refugees on the move and by poor people making micropayments and receiving remittances are stories of affordances of mobile phones in the life conditions of vulnerable social groups. The analytical framework used throughout the book calls attention to the means mobilised to address a challenging situation, the process followed, and the achieved ends. In addition to digital technologies with social change affordances, the means include available infrastructures and human capacity, such as local skills to customise generic open-source software to the local conditions. The process that leads to the desired outcomes is as multifaceted as the means and includes technology building, data gathering, local capability building as well as fostering effective management structures and alleviating institutional obstacles. Collapse

Topics: open source

Methods: case study

DEVELOPMENT STRATEGY AND MANAGEMENT OF AI-BASED VULNERABILITY DETECTION APPLICATIONS IN ENTERPRISE SOFTWARE ENVIRONMENT

2023 | European Conference On Information Systems | Citations: 0

Authors: Behfar, Stefan

Abstract: Industries are now struggling with high level of security-risk vulnerabilities ... Expand

Abstract: Industries are now struggling with high level of security-risk vulnerabilities in their software environment which mainly originate from open-source dependencies. Industries' percentage of open source in codebases is about 54% whereas ones with high security risks is about 30% (Synopsys 2018).While there are existing solutions for application security analysis, these typically only detect a limited subset of possible errors based on pre-defined rules. With the availability of open-source vulnerability resources, it is now possible to use data-driven techniques to discover vulnerabilities. Although there are a few AI-based solutions available, but there are some associated challenges: 1) use of artificial intelligence for application security (AppSec) towards vulnerability detection has been very limited and definitely not industry oriented, 2) the strategy to develop, use and manage such AppSec products in enterprises have not been investigated; therefore cybersecurity firms do not use even limited existing solutions. In this study, we aim to address these challenges with some strategies to develop such AppSec, their use management and economic values in enterprise environment. Collapse

Topics: artificial intelligence new product development source code open source software metric

Methods: machine learning artificial neural network

Influencing the Influencers? The Case of @CelebJets and the Role of Social Media in Empowering Citizens to Conduct Climate Justice Activism

2023 | Americas Conference on Information Systems | Citations: 0

Authors: Berney, Manon; Ondrus, Jan; Holzer, Adrian

Abstract: Online climate change activism is growing. However, its effectiveness is not ye ... Expand

Abstract: Online climate change activism is growing. However, its effectiveness is not yet firmly established. One of the challenges is for citizens to make sense of the vast amount of data to understand the impact of specific behaviors. The aggregation of publicly available information in a comprehensible and playful manner could potentially trigger effective evidence-based activism. However, it is not yet clear if and how such an intervention works. In this paper, we make a preliminary analysis of a use case of such an approach by investigating the @CelebJets phenomena, which automatically tracks and shares the private jet flights of celebrities on Twitter. Our analysis demonstrates that this approach can elicit user engagement and provide pertinent material for the press, potentially leading to a shift in behavior, particularly among celebrities who are promoting sustainability. Collapse

Topics: Twitter application programming interface social media climate change Wikipedia

Methods: case study regression analysis method parametric test descriptive statistic field experiment

Algorithmic Transparency: Concepts, Antecedents, and Consequences – A Review and Research Framework

2023 | Communications of the Association for Information Systems | Citations: 0

Authors: Bitzer, Tobias; Wiener, Martin; Cram, W. Alec

Abstract: The widespread and growing use of algorithm-enabled technologies across many as ... Expand

Abstract: The widespread and growing use of algorithm-enabled technologies across many aspects of public and private life is increasingly sparking concerns about the lack of transparency regarding the inner workings of algorithms. This has led to calls for (more) algorithmic transparency (AT), which refers to the disclosure of information about algorithms to enable understanding, critical review, and adjustment. To set the stage for future research on AT, our study draws on previous work to provide a more nuanced conceptualization of AT, including the explicit distinction between AT as action and AT as perception. On this conceptual basis, we set forth to conduct a comprehensive and systematic review of the literature on AT antecedents and consequences. Subsequently, we develop an integrative framework to organize the existing literature and guide future work. Our framework consists of seven central relationships: (1) AT as action versus AT as perception; factors (2) triggering and (3) shaping AT as action; (4) factors shaping AT as perception; as well as AT as perception leading to (5) rational-cognitive and (6) affective-emotional responses, and to (7) (un-)intended behavioral effects. Building on the review insights, we identify and discuss notable research gaps and inconsistencies, along with resulting opportunities for future research. review of the literature on AT. Not only has such an endeavor, to our knowledge, not yet been undertaken; but more importantly, we expect that such a review will reveal critical research gaps and inconsistencies and inform future research in the area. In particular, we aim to extend past work and contribute to the extant body of knowledge by (1) strengthening the conceptual foundations of AT; (2) reviewing the AT literature in a systematic manner; and (3) deriving a research framework. In doing so, our study offers a more nuanced conceptualization of AT, including the explicit distinction between AT as action and AT as perception, and delineates AT from related concepts. Moreover, following established guidelines (e.g., vom Brocke et al., 2015;Okoli & Schabram, 2010;Paré et al., 2015;Webster & Watson, 2002) and drawing on a review sample of 50 studies (published between 2002 and 2021), our study offers a comprehensive review and synthesis of prior research on the antecedents and consequences of AT. Finally, we propose an integrative framework to organize existing and guide future work. Collapse

Topics: database system algorithmic transparency artificial intelligence website digital service

Methods: computational algorithm literature study synthesis mixed method archival research