When Learning Turns To Surveillance -Using Pedagogical Agents in Organizations

2023 | HICSS | Citations: 0

Authors: Bucher, A.; Schenk, B.; Schwabe, G.

Abstract: Workplace learning is often used to train employees systematically. New in this ... Expand

Abstract: Workplace learning is often used to train employees systematically. New in this context is workplace learning with the help of a pedagogical agent (PA). Following Actions Design Research (ADR), this paper describes organizational training for telephone service using such PA. To develop the training, existing employee telephone service problems were analyzed, and the content of the learning program was determined based on this analysis. Subsequently, a PA was developed, implemented, and used in three municipalities. The evaluation of the learning outcome shows promising results but also yields some challenges: even though the employees improved in various aspects of the learning, they also developed a perception of surveillance. This research concludes with the formulation of design principles and suggestions for the organizational embedding of a PA in a workplace setting. Collapse

Topics: telephone human computer interaction usability Java user centered design

Methods: survey design principle design artifact design science natural language processing

Criteria Based Evaluation of Cross-Platform Development Frameworks

2023 | HICSS | Citations: 0

Authors: El Tom, Ali; Bogdan, Cristian; Majchrzak, Tim A.; Grønli, Tor-Morten

Abstract: Cross-platform development frameworks continue to play an important role in deve ... Expand

Abstract: Cross-platform development frameworks continue to play an important role in developing of mobile applications. There are a plethora of possible frameworks to choose between, and all claim to give developers an advantage in one or more aspects of the development cycle. To further shed light on this area, our research investigates the selection of mobile cross-platform frameworks by investigating criteria and methods for choosing the best suitable framework for the development context. Our study confirm previous research findings and with that anchor the categorisation for a cross-platform comparison taxonomy. Our research further contribute with a criteria check-list to apply for cross-platform framework selection and showcase its use through a comparative study of a cross-platform application implemented in two frameworks. Although showcasing novelty in the criteria checklist, further research is needed to make the checklist robust and streamlined for public use. Collapse

Topics: mobile application Android iOS JavaScript programming language

Methods: cross sectional research literature study

An analytical citizen relation management system (CZRM) for social vulnerability mapping and policy recommendation in Brazil

2023 | Decision Support Systems | Citations: 0

Authors: Furtado, Lara Sucupira; Moura, Gustavo; Vasconcelos, Daniel J.R.; Fernandes, Guilherme Sales; Cruz, Lívia Almada; Magalhães, Regis Pires; Coelho Da Silva, Ticiana L.

Abstract: The emerging field of Citizen Relationship Management has shown promise to combi ... Expand

Abstract: The emerging field of Citizen Relationship Management has shown promise to combine data analytics and intuitive digital platforms to help public managers interpret citizen-driven data and draw out appropriate policy. However, research dates back to only the last ten years, and does not commonly focus on families of extreme social vulnerability or how to bring solutions that increase access to public infrastructure. This research addresses the central challenge of setting strategic intervention plans for these families considering their multiple levels of vulnerability and the limited government resources available to address them. The paper builds on the frame­ work for analytical CZRM to prototype and build a tool that analyzes data about income, nutrition, and housing for over 34,000 low-income families in Cear´a, Brazil. Each family is assigned a vulnerability score, which is then used to filter public policy recommendations that address specific vulnerability profiles. The CZRM derives from over one year of interaction with government stakeholders who expressed their needs. Further software vali­ dation was completed with a series of test cases which ensured the tool was working and showing accurate results. The interactive mapping, ranking and filtering tool exemplifies an emerging decision support system to build a citizen portfolio and to set strategies to provide public services to different citizen groups. Collapse

Topics: decision support system database system decision making user interface usability

Methods: design artifact survey cluster analysis

Extended Generativity Theory on Digital Platforms

2023 | Information Systems Research | Citations: 2

Authors: Fürstenau, Daniel; Baiyere, Abayomi; Schewina, Kai; Schulte-Althoff, Matthias; Rothe, Hannes

Abstract: The assumption that generativity engenders unbounded growth has acquired an almo ... Expand

Abstract: The assumption that generativity engenders unbounded growth has acquired an almost taken-for-granted position in information systems and management literature. Against this premise, we examine the relationship between generativity and user base growth in the context of a digital platform. To do this, we synthesize the literature on generativity into two views, social interaction (expansion of ecosystem boundaries) and product view (expansion of product boundaries), that jointly and individually relate to user base growth. Both views help us explain how opening a platform relates to the emergence and resolution of conflicting expectations in a platform ecosystem that result in new functions and expanded use. We adopt a panel vector autoregressive approach combining data from six large transaction platforms that engaged with open-source developer communities. We found that the dominant narrative of generativity engendering growth, although generally supported by our analysis, obscures the fact that the inverse is also true; that is, growth can lead to expansion of product boundaries (inverse generativity) and that generativity can be bounded; that is, growth can stabilize ecosystem boundaries (bounded generativity). Against this background, we propose an extended generativity theory that presents generativity and growth in an integrative view and raises awareness about the limitations of the “unbounded growth” claim. We conclude that there is value in separating the two views of generativity conceptually and analytically, along with their relationship to user base growth, and we call for research on the pathways through which generativity produces growth. History: Ola Henfridsson, Senior Editor; Robert Wayne Gregory, Associate Editor. Collapse

Topics: digital platform innovation management open source electronic commerce accounting

Methods: longitudinal research Granger causality time series analysis Student's t-test parametric test

IT Professionals in the Gig Economy

2023 | Business & Information Systems Engineering | Citations: 0

Authors: Gussek, Lisa; Wiesche, Manuel

Abstract: When IT work is performed through digital labor markets, IT professionals have a ... Expand

Abstract: When IT work is performed through digital labor markets, IT professionals have a high degree of personal responsibility for their careers and must use appropriate strategies to be successful. This paper investigates the success of IT freelancers on digital labor platforms. Drawing on signaling theory, a dataset of 7166 IT freelancers is used to examine how activating, pointing, and supporting signals lead to success. Analysis was carried out using negative binomial regression. The results indicate that the three signaling types positively influence the objective career success of IT freelancers. This paper contributes to the literature by testing signaling theory in the new context of digital labor platforms, investigating IT specifics, and proposing support as a new type of signal for IT professionals on digital labor platforms. In practice, the results provide guidelines for IT freelancers to improve their success within their careers. Collapse

Topics: IT career human resource management IT skill IT workforce system support

Methods: digital trace data regression analysis method descriptive statistic computational algorithm statistical hypothesis test

Theories: signaling theory

Market Valuation of Artificial Intelligence Implementation Announcements

2023 | ACM SIGMIS Database | Citations: 0

Authors: Huang, Cheng-Kui (Tony); Lee, Yu-Tsung

Abstract: With the advent of artificial intelligence (AI), more and more enterprises have ... Expand

Abstract: With the advent of artificial intelligence (AI), more and more enterprises have begun developing AI to promote their own competitive advantage and increase their business value. In order to reveal the value-added results of AI implementation, this study adopts an event study methodology to capture the abnormal returns resulting from the announcement of AI implementation. Based on the empirical results of this study, in response to the announcement of AI implementation, we find significant positive abnormal returns on the event day. With respect to the grouping analysis, the results show significant differences in average cumulative abnormal returns between announcements with detailed information and those without detailed information. In addition, our findings present significant differences in average cumulative abnormal returns between IT-companies and non-IT companies on the event day. Ultimately, according to the content analysis, only one characteristic, the frequency of negative words, is modestly and negatively correlated with average cumulative abnormal returns. Collapse

Topics: artificial intelligence organizational value robotic information management Java

Methods: regression analysis method event study longitudinal research qualitative content analysis descriptive statistic

Theories: signaling theory

Semantic Computational Models for Polypharmacology: Applications in Drug Repurposing

2023 | HICSS | Citations: 0

Authors: Juric, Radmila; Almami, Eiman; Almami, Btesam; Ahmed, Zaki

Abstract: This paper proposes a computational model based on the first order logic reasoni ... Expand

Abstract: This paper proposes a computational model based on the first order logic reasoning, for managing discoveries in Polypharmacology for the purpose of efficient drug repositioning. The model uses computational reasoning upon advances documented in the published literature and thus is primarily based on the range of discoveries in biomedical science. The idea behind the model is to exploit drugs multiple intended and particularly unintended therapeutical and adverse targets and discover if they can lead us towards drug repurposing. Computational pharmacology is a very complex field, but reasoning upon its concept can bring us closer to the ideal poly pharmacological world of finding, developing and approving multitargeted drugs and use them in drug repurposing. Collapse

Topics: predicate logic Java online learning system artificial intelligence systems development

Methods: ontological modelling natural language processing design artifact computational algorithm literature study

Creating Intelligent Computational Edge through Semantic Mediation

2023 | HICSS | Citations: 0

Authors: Juric, Radmila; Ronchieri, Elisabetta; Suh, Sang

Abstract: This research proposes semantic mediation based on reasoning and the first order ... Expand

Abstract: This research proposes semantic mediation based on reasoning and the first order logic for mediating the best possible configuration of Computational Edge, relevant for software applications which may benefit for running computations with proximity to their data sources. The mediation considers the context in which these applications exist and exploits the semantic of that context for decision making on where computational elements should reside and which data they should use. The application of semantic mediation could address the initiative to accommodate algorithms from predictive and learning technologies, push AI towards computational edges and potentially contribute towards creating a computing continuum. Collapse

Topics: cloud computing mobile system internet of things edge computing artificial intelligence

Methods: ontological modelling computational algorithm literature study literature sample

Trends and Trajectories in the Software Industry: implications for the future of work

2023 | Information Systems Frontiers | Citations: 0

Authors: Laato, Samuli; Mäntymäki, Matti; Islam, A. K.M. Najmul; Hyrynsalmi, Sami; Birkstedt, Teemu

Abstract: In this study, we explore prominent contemporary technology trajectories in the ... Expand

Abstract: In this study, we explore prominent contemporary technology trajectories in the software industry and how they are expected to influence the work in the software industry. Consequently, we build on cultural lag theory to analyze how technological changes affect work in software development. We present the results from a series of expert interviews that were analyzed using the Gioia method. Moreover, we identify a set of technology trends pertinent to software development from which we derive four main changes affecting the future of work in software development: (1) a shift toward scalable solutions, (2) increased emphasis on data, (3) convergence of IT and non-IT industries, and (4) the cloud as the dominant computing paradigm. Accordingly, this study contains insights into how technology (as an element of material culture) influences non-material culture, as exemplified by the work involved in software development. Collapse

Topics: systems development devops cloud computing software developer low code development platform

Methods: qualitative interview deep learning theory development grounded theory constant comparative analysis

A novel label-based multimodal topic model for social media analysis

2023 | Decision Support Systems | Citations: 0

Authors: Li, Hao; Qian, Yang; Jiang, Yuanchun; Liu, Yezheng; Zhou, Fan

Abstract: Extracting useful knowledge from multimodal data is the core of many multimedia ... Expand

Abstract: Extracting useful knowledge from multimodal data is the core of many multimedia applications, such as recommendation systems, and cross-modal retrieval. In this paper, we propose a label-based multimodal topic (LB-MMT) model to jointly model text and image data tagged with multiple labels. Specifically, we use the labels as supervised information to generate the text and image data. In the LB-MMT model, we assume that the textual words and visual words related to each text and image are drawn from a mixture of latent topics, where each topic is represented as a group of textual words and visual words. Moreover, we introduce multiple topics for each label, to build the top-down relationship from label to text and image. To investigate the effectiveness of the proposed approach, we conduct extensive experiments on a real-world multimodal dataset with labels. The re­ sults show the proposed approach obtains superior performances on topic coherence and label prediction compared with previous competitors. In addition, we show that our model yields interesting insights about multimodal topics. The proposed model provides important practical implications, e.g., designing more attrac­ tive multimodal contents for marketers. Collapse

Topics: Java social media Linux electronic commerce search engine

Methods: topic model word embedding Gibbs sampling BERT computational algorithm

Theories: technology acceptance model