How Review Quality and Source Credibility Interacts to Affect Review Usefulness: An Expansion of the Elaboration Likelihood Model

2023 | Information Systems Frontiers | Citations: 0

Authors: Aghakhani, Navid; Oh, Onook; Gregg, Dawn; Jain, Hemant

Abstract: This study extends our understanding of what makes an online review useful by ex ... Expand

Abstract: This study extends our understanding of what makes an online review useful by examining the effects of review quality (i.e., as a composite variable of review comprehensiveness and review topic consistency) on review usefulness, and the moderating effects of source credibility on the relationship between review quality and review usefulness. The Elaboration Likelihood Model, convergence theory, and cueing effect literature are used to define the variables of review comprehensiveness and review topic consistency. Analyses of 27,517 restaurant reviews from Yelp show that review topic consistency has a positive effect on review usefulness, but, contrary to our hypothesis, review comprehensiveness has a negative effect on review usefulness. We also found source credibility positively moderates the effect of review comprehensiveness on review usefulness, but negatively moderates the effect of review topic consistency on review usefulness. Theoretical and practical implications are discussed. Collapse

Topics: online review user-generated content Python website data breach

Methods: topic model term frequency–inverse document frequency NLTK statistical hypothesis test robustness check

Theories: elaboration likelihood model

An Investigation of Domain-based Social Influence on ChatGPT-Related Twitter Data

2023 | International Conference on Information Systems | Citations: 0

Authors: Ahangama, Supunmali

Abstract: ... Expand

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Topics: Twitter social influence social media social identity robotic

Methods: chatGPT sentiment analysis multiple linear regression term frequency–inverse document frequency NLTK

Optimal Decision Rules for the Discursive Dilemma

2023 | Group Decision and Negotiation | Citations: 0

Authors: Alabert, Aureli; Farré, Mercè; Montes, Rubén

Abstract: We consider the classical problem in truth-tracking judgment aggregation of a co ... Expand

Abstract: We consider the classical problem in truth-tracking judgment aggregation of a conjunctive agenda with two premisses and one conclusion. We study this problem from the point of view of finding the best decision rule according to a quantitative criterion, under very mild restrictions on the set of admissible rules. The members of the deciding committee are assumed to have a certain probability to assess correctly the truth or falsity of the premisses, and the best rule is the one that minimises a combination of the probabilities of false positives and false negatives on the conclusion. Collapse

Topics: Python anonymity

Methods: machine learning statistical hypothesis test

D&L: A Natural Language Processing Based Approach for Protecting Sensitive Information from Shoulder Surfing Attacks

2023 | Americas Conference on Information Systems | Citations: 0

Authors: Aldossari, Marran; Zhang, Dongsong

Abstract: Despite the increasing attention and research effort, how to protect sensitive ... Expand

Abstract: Despite the increasing attention and research effort, how to protect sensitive information from shoulder surfing attacks is still under studied. Existing methods for protecting sensitive textual content on users' screens from shoulder surfing attacks have various limitations, including ineffectiveness, insufficient protection of sensitive information, low usability, and high cognitive workload. To address those limitations, this paper proposes, develops, and evaluates a new solution called "detection and labeling" (D&L), which uses NLP techniques to automatically detect and label sensitive information in the textual content. The labeled and hidden sensitive information is then read to users through their headphones upon their clicking a label. Evaluation results demonstrate that D&L improves protection, enhances usability, reduces users' cognitive workload, and allows faster browsing speed compared to the baseline methods. Collapse

Topics: electronic mail laptop computer usability privacy perceived ease of use

Methods: survey parametric test experiment Tukey HSD for post poc analysis ANOVA

Data Sharing Frames: How Scientists Understand the Work of Sharing Scientific Data

2023 | International Conference on Information Systems | Citations: 0

Authors: Amagyei, Nana Kwame; Engesmo, Jostein; Panteli, Niki

Abstract: The curation of data is fundamental to their wider dissemination and use. This ... Expand

Abstract: The curation of data is fundamental to their wider dissemination and use. This paper investigates the frames of workers who perform data curation in scientific contexts. We view data curation as a sense-making practice, where workers collaborate to disseminate meaningful data to a broad set of prospective users. Previous Information Systems investigations have suggested that data-related activities are dependent on workers' understanding of their local work context. We expand this with an evolving and longterm view. We use a stepwise-deductive induction method to examine how scientists understand the work involved in curating scientific data for public sharing. We draw on frames as the theoretical lens of the study that enables us to identify three data sharing frames -the object, curation, and aligning frames -as important frames that shape how scientists curate data for public sharing. Our analysis provides a deeper understanding of the nuances of managing scientific data for public access. Our main contribution is the articulation of an evolving and long-term view of how workers approach their tasks in getting data ready for long-term public use. Collapse

Topics: data management Python data governance datafication strategic management

Methods: survey qualitative interview personal interview field study theoretical contribution

Capabilities and metrics in DevOps: A design science study

2023 | Information & Management | Citations: 0

Authors: Amaro, Ricardo; Pereira, Rúben; Da Silva, Miguel Mira

Abstract: Customer demands, competition, regulatory environments, and sophisticated extern ... Expand

Abstract: Customer demands, competition, regulatory environments, and sophisticated external threats have all increased the importance of DevOps in IT organizations. However, DevOps adoption is still uneven, emphasizing the need to provide management with relevant IS data and insights. Regrettably, there is a measurement inefficiency between these capabilities. Collapse

Topics: devops database system Google+ spreadsheet source code

Methods: qualitative interview personal interview literature study design science design artifact

Towards More Convenient Services: A Text Analytics Approach to Understanding Service Inconveniences in Digital Platforms

2023 | HICSS | Citations: 0

Authors: Amat-Lefort, N.; Barnes, S.

Abstract: In today's fast-paced world, where time is our most valuable asset, convenience ... Expand

Abstract: In today's fast-paced world, where time is our most valuable asset, convenience is on the rise. This trend has led to a huge growth in digital on-demand services, which target convenience-oriented consumers. Using big data and text analytics, we examine the impact of service inconveniences on customer satisfaction in the context of on-demand food delivery. Building on the Model of Service Convenience and Attribution Theory, we analyze 235,147 user-generated reviews via a combination of keyword-assisted topic modelling and cumulative link model analysis. We introduce the concept of Remote support inconvenience and identify the key topics related to each inconvenience. We find that all service inconveniences negatively influence satisfaction (especially cancelled orders and remote support incidences), and the effects are exacerbated when moderated by stability or controllability attributions. These insights contribute to our theoretical understanding of service inconvenience and can help platforms identify and improve critical areas of their services. Collapse

Topics: user satisfaction customer satisfaction mobile application user-generated content crowdsourcing

Methods: natural language processing topic model exploratory data analysis ANOVA parametric test

Theories: attribution theory

Benchmarking the Robustness of Phishing Email Detection Systems

2023 | Americas Conference on Information Systems | Citations: 0

Authors: Ampel, Benjamin; Gao, Yang; Hu, James; Samtani, Sagar; Chen, Hsinchun

Abstract: Social engineering attacks are currently the most cited cybersecurity threat to ... Expand

Abstract: Social engineering attacks are currently the most cited cybersecurity threat to organizations. Phishing emails are the most salient form of social engineering attacks. Organizations are increasingly implementing AI-enabled systems to detect phishing emails. However, AI-enabled systems are often susceptible to textual perturbations, where an adversary makes a small change to cause a misclassification. In this study, we sought to identify the performance of prevailing phishing email detection systems (PEDS) against character, word, sentence, and multi-level adversarial text perturbations. Through a principled benchmarking framework, we quantitatively demonstrated the lack of robustness prevailing PEDS have to specific types of text-based adversarial perturbations (e.g., character, word, sentence, multi-level). The results of this study provide new insights into the robustness of AI-based PEDS and highlight the need for organizations to adopt a multi-layered approach to phishing protection. Additionally, organizations can implement our benchmark framework to test their PEDS against adversarial perturbations. Collapse

Topics: artificial intelligence electronic mail email phishing phishing IT security

Methods: word2vec random forest classification naïve bayes literature study pre-trained language model

Digital Transformation of Public Sector Manual Procurement and Socioeconomic Development: A Developing Country Case Study

2023 | Americas Conference on Information Systems | Citations: 0

Authors: Agbeko, Michael; Effah, John; Boateng, Richard

Abstract: Digital transformation in the public sector offers opportunities for developing ... Expand

Abstract: Digital transformation in the public sector offers opportunities for developing countries to address socioeconomic development challenges related to citizen wellbeing. While countries in the developed world digitally transform their public sector procurement for socioeconomic development, many in the developing world are yet to do so. Existing information systems research on digital procurement in developing countries has focused more on adoption, strategy, and design. Little is known about how manual procurement practices are digitally transformed in the public sector of developing countries for socioeconomic development. This study employs interpretive case study as a methodology and activity theory as analytical lens to investigate how manual procurement activities in the public sector get digitally transformed and its effect on socioeconomic development in a developing country context. The findings have implications for research, practice, and policy.The developed procurement platform (GHANEPS) has two parts. These modules allow the performance of various procurement activities on the system. The PDW on the other hand is the database that stores information on all procurement activities and is supposed to be connected to external ERP systems, other data repositories, and business intelligence systems. The project manager observed in one of the training sessions that Our inability to successfully train and bring on board all public sector institutions is as a result of the COVID-19 emergence and other challenges in the public sector. This has delayed the training sessions. This means that the government effort to enhance the country's socioeconomic development within the medium term is going to be affected. Collapse

Topics: procurement management digital transformation digital platform Python structured query language

Methods: qualitative interview case study field study

Theories: activity theory

Human versus automated agents: how user preferences affect future mobility systems

2023 | European Conference On Information Systems | Citations: 0

Authors: Ahadi, Ramin; Taudien, Anna; Ketter, Wolfgang

Abstract: Along with rapid advancements in digital, and physical technologies, shared aut ... Expand

Abstract: Along with rapid advancements in digital, and physical technologies, shared autonomous electric vehicles are forecasted to gradually complement and replace traditional human-based mobility systems. Information systems play a key role in such a deep socio-technical system to pave the path toward a more sustainable future. This study investigates a hybrid ride-hailing platform of automated and human-driven vehicles. Our focus lies on the demand side where we evaluate the influence of user behaviors on economic and environmental system performance. For this, we employ a data-driven agent-based simulation modeling heterogeneous vehicle and user agents calibrated by rental data of a leading vehicle-sharing company. Our findings declare that diverse customer responses to the introduction of shared autonomous electric vehicles yield significantly differing fleet performance and ecological costs. We also observe that the status quo customer communication design of ride-hailing platforms needs adjustments to maximize the potentials of future hybrid shared mobility systems. Collapse

Topics: ride sharing platform user behavior service quality decision making artificial intelligence

Methods: simulation agent based simulation experiment literature study sensitivity analysis

Theories: technology acceptance model general systems theory