Causal Relationship and Ranking Technique (CRRT): A Novel Group Decision-Making Model and Application in Students’ Performance Assessment in Indian High School Context

2023 | Group Decision and Negotiation | Citations: 0

Authors: Dhara, Suvojit; Goswami, Adrijit

Abstract: In the field of multi-attribute group decision-making (MAGDM), “decision-making ... Expand

Abstract: In the field of multi-attribute group decision-making (MAGDM), “decision-making trial and evaluation laboratory” (DEMATEL) is a popular method that has been deployed to discover hidden relationships among many inter-twined factors of numerous real-world problems. This paper discusses several limitations of the DEMATEL method in mining the causal relationships and ranking the factors. Also, in this paper, we develop a novel decision-making framework that will be able to overcome the issues found in the DEMATEL method and tackle both formal and informal decisions. This model, which we call “Causal Relationship and Ranking Technique (CRRT)”, uses a data-deterministic expert weighing setup rather than assigning equal weights or pre-defined weights to each expert. The model proposes a better technique to mine factor inter-relations and proposes two new types of digraphs portraying the causal inter-relationships among the factors, and also proposes a new two-step factor ranking method based on the derived causal relationships. The intuitionistic fuzzy setting is considered in this work in order to capture the uncertainty of expert opinions. Furthermore, our proposed framework is applied to a real-life case study on discovering various factors of a high school administration, that have a significant influence on students’ performance. Comparison with standard methods such as TOPSIS and VIKOR for student performance data and also some other datasets such as supplier selection data, and sustainability data proves that the model is able to rank the factors better than the existing models. Collapse

Topics: decision making

Methods: case study TOPSIS trade-off analysis method cross sectional research descriptive statistic

Influence of Pre-Experience on Learning, Usability and Cognitive Load in a Virtual Learning Environment

2023 | Americas Conference on Information Systems | Citations: 0

Authors: Gonnermann, Jana; Teichmann, Malte

Abstract: Virtual reality can have advantages for education and learning. However, it mus ... Expand

Abstract: Virtual reality can have advantages for education and learning. However, it must be adequately designed so that the learner benefits from the technological possibilities. Understanding the underlying effects of the virtual learning environment and the learner's prior experience with virtual reality or prior knowledge of the content is necessary to design a proper virtual learning environment. This article presents a prestudy testing the design of a virtual learning environment for engineering vocational training courses. In the pre-study, 12 employees of two companies joined the training course in one of the two degrees of immersion (desktop VR and VR HMD). Quantitative results on learning success, cognitive load, usability, motivation, and qualitative learning process data were presented. The qualitative data assessment shows that overall, the employees were satisfied with the learning environment regardless of the level of immersion and that the participants asked for more guidance and structure accompanying the learning process. Further research is needed to test for solid group differences. Collapse

Topics: virtual reality usability online learning system user interface virtual world

Methods: experiment survey descriptive statistic design principle quasi experiment

FINFLUENCERS: OPINION MAKERS OR OPINION FOLLOWERS?

2023 | European Conference On Information Systems | Citations: 0

Authors: Haase, Frederic; Rath, Oliver; Kurka, Marco; Schoder, Detlef

Abstract: This paper explores the concept of Finfluencers: financial social network actor ... Expand

Abstract: This paper explores the concept of Finfluencers: financial social network actors with high potential social influence. Our research aims to clarify whether Finfluencers drive or are influenced by the broader social network sentiment, thereby establishing their role as either opinion makers or opinion followers. Using a dataset of 71 million tweets focusing on stocks and cryptocurrencies, we grouped actors by their social networking potential (SNP). Next, we derived sentiment time series using state-ofthe-art sentiment models and applied the technique of Granger causality. Our findings suggest that the sentiment of Finfluencer actors on Twitter has short-term predictive power for the sentiment of the larger group of actors. We found stronger support for cryptocurrencies in comparison to stocks. From the perspective of financial market regulation, this study emphasizes the relevance of understanding sentiment on social networks and high social influence actors to anticipate scams and fraud. Collapse

Topics: Twitter social network social influence cryptocurrency social media

Methods: longitudinal research time series analysis Granger causality descriptive statistic sentiment analysis

How the Basis for Status Perceptions Varies with Perceiver Status

2023 | Organization Science | Citations: 0

Authors: Tan, David; Rider, Christopher I.

Abstract: We posit a novel mechanism—socially endogenous calibration—whereby the tendency ... Expand

Abstract: We posit a novel mechanism—socially endogenous calibration—whereby the tendency to align with others’ perceptions of organizational status varies systematically with the status of a perceiver’s own organization. We specifically theorize that members of higher-status organizations perceive larger and more correlated status differences among other organizations than members of lower-status organizations do. Using a simulation, we demonstrate how socially endogenous calibration yields these predictions even when quality is uniform across organizations. We further present empirical support for our arguments by analyzing data on individual-level prestige ratings of U.S. law firms. Integrating socially endogenous calibration with prevailing status perspectives based on quality uncertainty, we conclude by elaborating a novel research agenda on stability and instability in organizational status hierarchies. Collapse

Topics: anonymity productivity

Methods: simulation survey theory development cross sectional research regression analysis method

Towards technology of global governance – a novel approach to health system performance assessment by MCDA

2023 | Americas Conference on Information Systems | Citations: 0

Authors: Wątróbski, Jarosław; Rudawska, Iga; Bączkiewicz, Aleksandra

Abstract: ... Expand

Abstract: Collapse

Topics: pandemic health information system system efficiency

Methods: trade-off analysis method TOPSIS descriptive statistic survey computational algorithm

Mobile Broadband for Inclusive Connectivity: What Deters the High-Capacity Deployment of 4G-LTE Innovation in India?

2022 | Information Systems Frontiers | Citations: 0

Authors: Jha, Ashutosh; Saha, Debashis

Abstract: The global market uptake of the fourth generation-Long-Term Evolution (4G-LTE) M ... Expand

Abstract: The global market uptake of the fourth generation-Long-Term Evolution (4G-LTE) Mobile Broadband (MoBro) services are steadily rising, leading to higher capital investments by mobile network operators (MNOs) to scale-up their infrastructure for meeting the impending demand for MoBro data the world over. However, MNOs face uncertainties about financial returns from such investments, owing to a host of technological and market-related factors, which impact the enablement of such 4G-LTE MoBro services. These challenges are clearly evident in the Indian market. Firstly, 4G-LTE subscribers in the rural India contribute to less than one-third of the overall market size. Secondly, India performs poorly in terms of minimum capacity requirements of the 4G-LTE MoBro services. Thirdly, the rise in per-user consumption of MoBro data does not translate into a similar rise in the MNOs’ revenue. Fourthly, the socio-economic-geographic segregation of India into twenty-two administrative zones (referred to as telecom circles) add to the complexities in the capital investment decisions of MNOs. To address the above challenges, we model various cost and profitability scenarios of a hypothetical MNO providing universal 4G-LTE deployment across the twenty-two telecom circles in India using the available spectrum bands. Our proposed model is firmly established in the “network investment economics” framework for telecom innovations. We adopt a technology diffusion-based approach to forecast the 4G-LTE subscribers in India. We focus on the requirements of 4G-LTE MoBro infrastructure investments, including the spectrum selection decisions by MNOs, and show that, for valuation of the spectrum, the policymakers in India need to take into account the potential of the spectrum in terms of financial returns to an MNO deploying 4G-LTE using that spectrum, as against merely valuing the spectrum based on primarily the technical characteristics of its carrier frequency and benchmarks of prior spectrum auction prices in a particular telecom circle. Finally, we also show that a nationwide 4G-LTE network, which is universal, inclusive, and adhering to the global standards in terms of service quality, can be financially lucrative for MNOs, if enabled by appropriate policies instituting collaborative frameworks for infrastructure sharing, and price rationalization of spectrum bands across the twenty-two telecom circles. Collapse

Topics: mobile system broadband cellular network network infrastructure service quality innovation management

Methods: sensitivity analysis theory development descriptive statistic longitudinal research linear least square

A Novel Group TODIM Method Based on Multi-Granularity Proportional Hesitant Fuzzy Linguistic Term Sets for Water Resources Risk Evaluation

2022 | Group Decision and Negotiation | Citations: 0

Authors: Li, Liang; Liu, Yanwu; Tu, Yan; Zhou, Xiaoyang; Lev, Benjamin

Abstract: The risk of water resources has become a serious crisis threatening the human su ... Expand

Abstract: The risk of water resources has become a serious crisis threatening the human survival and social development. Based on the establishment of a comprehensive risk evaluation system from perspective of water quantity and water quality, this paper proposes a group TODIM (an acronym in Portuguese for Interactive and Multi-criteria Decision Making) with multi-granularity proportional hesitant fuzzy linguistic term sets (PHFLTSs) based on a novel comparison method to evaluate water resources risk. In the method, a novel supplementary of extension function and hesitation value function of comparing and measuring the PHFLTSs is firstly proposed. Furthermore, incomplete weight information method is introduced to establish optimization model to compute the final indicator weights, which are extended to TODIM method to evaluate water resources risk of Hubei Province of China. Finally, the availability and reliability of the method are confirmed by further analysis, and specific management suggestions are put forward to reduce the associated risk. Collapse

Topics: decision making risk management

Methods: trade-off analysis method sensitivity analysis TOPSIS optimization model ELECTRE

Theories: loss aversion prospect theory

The Role of Parasocial Interactions for Podcast Backchannel Response

2021 | Americas Conference on Information Systems | Citations: 1

Authors: Marx, Julian; Mirbabaie, Milad; Brendel, Alfred Benedikt; Zander, Kevin

Abstract: Voice-based information transfer via podcasts is increasingly taking root in ed ... Expand

Abstract: Voice-based information transfer via podcasts is increasingly taking root in education, entertainment, and business communication. In mainstream literature, they have been repeatedly associated with the concept of parasocial interactions and relationships, meaning a psychological relationship experienced by a consumer of a mass medium. However, little research has been conducted to empirically examine such experiences in the context of podcasting. Based on the theoretical background of the two-level model of parasocial interactions, we performed an experiment with between-subject design (n = 28), in which participants of both experimental conditions listened to modified podcast episodes. The sharing of personal information, thoughts and feelings by the speaker was found to have a positive influence on the intensity of parasocial interaction. Furthermore, the experienced parasocial interaction correlates with the intention of listeners to subscribe to the podcast and make use of backchannels. These preliminary results may contribute to a better understanding of interactions in auditory media such as podcasts but also voiceoperated information systems. Moreover, this study may help practitioners to align their audio-branding in a way that it fosters parasocial interactions and long-lasting customer relationships. Collapse

Topics: podcast usage intention digital service SoundCloud website

Methods: descriptive statistic experiment experimental group survey qualitative interview

Simple as it can be, but not simpler: Perceived elegance as effective complexity in Interface Design

2020 | Americas Conference on Information Systems | Citations: 0

Authors: Iandoli, Luca; Piantedosi, Letizia; Zollo, Giuseppe

Abstract: Elegant Design is a key determinant of positive consumer experience and a diffe ... Expand

Abstract: Elegant Design is a key determinant of positive consumer experience and a differentiating factor on the marketplace. However, research on product aesthetics suffers from the lack of metrics to assess elegance and insufficient understanding of what stimuli configurations are associated with it. In this paper we assess elegance as Effective Complexity, a metric capturing the complexity of an interface in terms of the regularities perceived by users. We offer empirical evidence that Effective Complexity is strongly correlated with perceived elegance and actual effort in the use of a new product and to Berlyne's curve of hedonic pleasure determined by the combination of novel and familiar stimuli. Collapse

Topics: usability user interface anonymity

Methods: descriptive statistic survey theory development usability testing Levene's test

Theories: mathematical theory of communication

Analysis of Cyber Incident Categories Based on Losses

2020 | ACM Transactions on Management Information Systems | Citations: 0

Authors: Kesan, Jay P.; Zhang, Linfeng

Abstract: The fact that “cyber risk” is indeed a collective term for various distinct risk ... Expand

Abstract: The fact that “cyber risk” is indeed a collective term for various distinct risks creates great difficulty in communications. For example, policyholders of “cyber insurance” contracts often have a limited or inaccurate understanding about the coverage that they have. To address this issue, we propose a cyber risk categorization method using clustering techniques. This method classifies cyber incidents based on their consequential losses for insurance and risk management purposes. As a result, it also reveals the relationship between the causes and the outcomes of incidents. Our results show that similar cyber incidents, which are often not properly distinguished, can lead to very different losses. We hope that our work can clarify the differences between cyber risks and provide a set of risk categories that is feasible in practice and for future studies. Collapse

Topics: privacy data breach ransomware price management IT security

Methods: cluster analysis descriptive statistic literature study k-means clustering parametric test

Theories: probability theory