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

2023 | International Conference on Information Systems | Citations: 0

Authors: Ahangama, Supunmali

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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

A Signal Detection Theory Approach for Predicting Immunity to Pandemic Vaccine Fake News

2023 | HICSS | Citations: 0

Authors: Barajas, J.; John, R.

Abstract: Managing a contagious disease pandemic, such as , requires that the public unde ... Expand

Abstract: Managing a contagious disease pandemic, such as , requires that the public understand and cooperate with behavioral guidelines to reduce viral transmission. This research uses Signal Detection Theory (SDT) to explore how U.S. adults distinguish between true and false information related to COVID-19 vaccines. A total of 372 U.S. adults categorized 17 true and 17 false COVID-19 vaccine headlines. Item Response Theory analyses suggest that the ability to identify true information about the pandemic is a construct that can be reliably measured with our novel methodology. Signal Detection Theory analyses indicate high accuracy (AUC = 0.861), with no bias favoring either true or false responses. Overall, U.S. adults correctly classified 7 of 10 true and 8 of 10 false headlines. Multiple regression analyses on individual performance metrics reveal substantially lower accuracy among conservatives and those with lower scores on a measure of Actively Open-minded Thinking. Implications and limitations of these findings within the pandemic news context are discussed. Collapse

Topics: misinformation fake news pandemic social media covid 19

Methods: machine learning survey multiple linear regression survey design regression analysis method

Theories: signal detection theory

Alexa is the New Influencer: An Empirical Study Based on a Relational View

2023 | Americas Conference on Information Systems | Citations: 0

Authors: Bawack, Ransome; Bonhoure, Emilie; MALLEK, Sabrine

Abstract: This paper explores the potential of voice assistants (VAs) as influencers and ... Expand

Abstract: This paper explores the potential of voice assistants (VAs) as influencers and their ability to replace or complement human influencers. VAs are increasingly popular tools for marketing and advertising, providing access to a wide range of information services. VA recommendations have been found to be more effective than consumer reviews in changing consumer behavior when perceived as credible and useful. Nevertheless, existing research has not explored the full potential of VAs in influencing consumer behavior beyond these factors. This paper identifies relevant behavioral factors that affect consumers' decisions to follow VA recommendations. An empirical study of 510 participants revealed that parasocial relationships, peer influence, self-image congruence, and interpersonal attraction positively affect consumers' decisions to follow product purchase recommendations by VAs. The findings extend our understanding of consumers' behavior towards VAs and provide theoretical and practical implications for marketing and information systems research. Collapse

Topics: marketing management conversational agent missing data usage intention

Methods: survey regression analysis method computational algorithm multiple linear regression PLS tool

The Relationship Between Twitter Sentiment and Stock Performance: A Decision Tree Approach

2023 | HICSS | Citations: 0

Authors: Chen, Rongjuan; Dong, Ruoxi

Abstract: Social media has become a communication tool, but also a valuable database for r ... Expand

Abstract: Social media has become a communication tool, but also a valuable database for researchers and practitioners to gather information, share knowledge, as well as express opinions about stock performance. The sentiment embedded in social media content can be analyzed to predict stock performance. Although numerous past studies have attempted to predict stock price movement using social media sentiment, some emerging analytical tools, like existing lexicons, may require further testing and validation in a financial decision making context. In this study, we develop and test predictive models for stock price and trend forecasting. By using a large-scale sample of tweets collected from Twitter, related to four companies, Apple, Google, Microsoft, and Netflix, we propose a novel decision tree approach to stock performance prediction. Based on our findings, we then provide theoretical and practical implications and discuss the directions for future work. Collapse

Topics: Twitter social media decision making digital service Netflix

Methods: sentiment analysis decision tree classification regression analysis method multiple linear regression NLP tool

Theories: behavioral economics

Using machine learning to create and capture value in the business models of small and medium-sized enterprises

2023 | International Journal of Information Management | Citations: 0

Authors: Costa-Climent, Ricardo; Haftor, Darek M.; Staniewski, Marcin W.

Abstract: Start-ups have revolutionised many economic ecosystems, becoming innovation pion ... Expand

Abstract: Start-ups have revolutionised many economic ecosystems, becoming innovation pioneers around the world. Most are based on data-driven business models, particularly relying on machine learning technologies. However, not all start-ups that use machine learning technologies manage to create and capture value. The existing literature on the use value enabled by information technologies does not take into account the unique capabilities of machine learning. The theory of data network effects offers a promising explanation of how to create value using machine learning. However, it does not explicitly describe how to capture value using machine learning. In contrast, business model theory explains how companies use technologies to create and capture value, but not specifically through the use of machine learning technology. Therefore, this study aims to improve the theo­ retical understanding of the key drivers of value creation and capture in start-ups with business models driven by this kind of technology. Statistical techniques are used in a sample of 122 start-ups to explore the theoretical relationships between these two theories. The analysis reveals the link between specific value creation and capture factors of the two theories, such as efficiency, novelty, and performance expectancy. The study also provides evidence of the need to adopt a co-evolutionary perspective of value creation and capture through the use of machine learning. Collapse

Topics: value creation Twitter social media database system website

Methods: descriptive statistic theory development regression analysis method general multivariate regression model linear regression analysis

What ails physician review websites? A study of information needs of patients

2023 | Decision Support Systems | Citations: 0

Authors: Ghosh, Soham; Chakraborty, Soumyakanti; Gupta, Narain; Basu, Sumanta

Abstract: Physician Review Websites (PRWs) help users select physicians by providing both ... Expand

Abstract: Physician Review Websites (PRWs) help users select physicians by providing both structured and unstructured data on physicians and patients' experiences with physicians. In this paper, the adequacy of the available in­ formation on PRWs is investigated. An empirical study is conducted to understand the information that patients seek from PRWs through a survey instrument administered to 344 patients. A topic modelling approach is then employed on 666,551 text reviews of patients using data from a popular PRW in India to discover information available on the PRWs. Combining both approaches, it is found that 12 out of 25 topics are either unavailable or only partially available, indicating an information gap. Two topics which constitute the information gap are then utilised to conduct a full factorial experiment on 153 respondents using a Latin Square design. Experimental results demonstrate that adding relevant information improves the physician selection process. Our work con­ tributes to the healthcare IS literature on online physician selection and the role of information availability. The results will help PRWs and hospitals decide how to restructure information on their websites and devise stra­ tegies to nudge patients to write reviews highlighting the desired information. Collapse

Topics: website service quality IS success video conference web page

Methods: experiment survey design survey latin square design factorial experiment

Theories: SERVQUAL

Extending the Theory of Planned Behavior in the Social Commerce Context: A Meta-Analytic SEM (MASEM) Approach

2023 | Information Systems Frontiers | Citations: 0

Authors: Leong, Lai-Ying; Hew, Teck-Soon; Ooi, Keng-Boon; Metri, Bhimaraya; Dwivedi, Yogesh K.

Abstract: The theory of planned behavior (TPB) is popular in social commerce research, but ... Expand

Abstract: The theory of planned behavior (TPB) is popular in social commerce research, but existing studies have yielded inconclusive and inconsistent findings. As TPB was developed before the introduction of the Internet, Web 2.0 technologies, and social media, it is time to evaluate whether its relevance, effectiveness, novelty, and parsimony may have deteriorated due to temporal factors and the emergence of new Information Systems (IS) artifacts. In this work, an extended TPB2 is proposed by integrating social support, and MASEM analysis was conducted using a pooled correlation matrix. The findings revealed that TPB2 can better capture the nature of social commerce, as it can explain 28.4% of the variance in attitude, 59.0% of the variance in behavioral intention, and 9% of the variance in use behavior. In addition, it indicates that masculinity and uncertainty avoidance are the most significant Hofstedian cultural dimensions. The theoretical and managerial implications are also discussed along with the research agenda. Collapse

Topics: behavioral intention artificial intelligence social commerce conversational commerce organizational productivity

Methods: structural equation modeling meta analysis path analysis literature sample literature study

Theories: cultural dimensions theory theory of planned behavior

Beyond the First Offer: Decoding Negotiation Openings and Their Impact on Economic and Subjective Outcomes

2023 | Group Decision and Negotiation | Citations: 0

Authors: Lipp, Wolfram E.; Smolinski, Remigiusz; Kesting, Peter

Abstract: First offers play a significant role in negotiations as they anchor negotiators’ ... Expand

Abstract: First offers play a significant role in negotiations as they anchor negotiators’ perceptions and influence negotiation outcomes in favor of the first-offer proposer. However, negotiation is a joint decision-making process in which a first offer is typically succeeded by a counteroffer. The impact of a counteroffer has not yet been systematically researched. We propose that a counteroffer influences negotiation outcomes like a first offer. In addition, we conceptualize the “anchor zone” as the distance between the first offer and the counteroffer. We theorize that the anchor zone influences negotiation outcomes because it captures additional information compared to a single offer. To test our hypotheses, we conducted two studies: Study 1 was a vignette study (n = 190) in which participants reacted to a counteroffer that they received based on their first offer as part of a simulated negotiation. Study 2 was an online experiment (n = 212) in which participants negotiated by exchanging offers with no further communication. Our analysis suggests that the counteroffer is a significant predictor of economic outcomes. Thus, it works like a first offer, but with a lower impact. In addition, the anchor zone predicted how far the final agreement was from the first offer. Furthermore, we found that the third offer, the average concessions, and the number of offers mediated the effects of the counteroffer and anchor zone on economic outcomes. Finally, we discovered that a more aggressive counteroffer reduced the subjective value of both negotiators. Collapse

Topics: Apple iPhone decision making data quality

Methods: experiment statistical hypothesis test simulation statistical power analysis regression analysis method

Theories: behavioral economics

The Role of Sentiment Tendency in Affecting Review Helpfulness for Durable Products: Nonlinearity and Complementarity

2023 | Information Systems Frontiers | Citations: 0

Authors: Li, Jin; Zhang, Yulan; Li, Jianping; Du, Jiangze

Abstract: The online review has become an important pillar in the decision-making process ... Expand

Abstract: The online review has become an important pillar in the decision-making process for purchasing experience products, especially durable goods with relatively high prices. Using a rich data set for automobiles, we quantify the sentiment tendency expressed in textual reviews, and empirically examine the nonlinearly inverted U-shaped relationship between customer satisfaction and sentiment tendency. We then investigate the nonlinear influences of review sentiment and depth on helpfulness. Furthermore, we study the relationship between numerical rating and text contents, i.e., sentiment tendency and review depth, in promoting the review helpfulness, and quantitatively identify the complementary effect of sentiment tendency. Our results indicate that both numerical ratings and sentiments expressed in text contents contribute to an increase in review helpfulness. Compared with polarized reviews, the neutral ones better benefit helpfulness and customer satisfaction. We also find that reviews with moderate depth are more helpful. Based on the empirical findings, we discuss several managerial implications for review system designers and consumers in the durable product market. Collapse

Topics: online review customer satisfaction experience good user-generated content website

Methods: sentiment analysis robustness check natural language processing descriptive statistic language model

Relationships between Involuntary Visual Cueing and Sensemaking of YouTube Videos

2023 | Americas Conference on Information Systems | Citations: 0

Authors: Shen, Zixing; Tan, Songxin

Abstract: Sensemaking plays a critical role in the everyday use of social media, which ar ... Expand

Abstract: Sensemaking plays a critical role in the everyday use of social media, which are increasingly visual as video, images, and other visual content permeate. Yet, research on the sensemaking of visual information on social media is minimal. This study addresses this research gap by investigating the relationships between involuntary visual cues (color contrast and visual complexity) and making sense of videos on YouTube and Reddit. It finds that color contrast has a significant association with sensemaking on both platforms and that visual complexity is a significant predictor of sensemaking only on Reddit. Our study adds to the research on sensemaking on social media. It expands social media analysis from textual to visual information and contributes to the knowledge of visual sensemaking on social media. It also provides practitioners with guidelines for designing videos that facilitate visual sensemaking. Collapse

Topics: sensemaking YouTube social media Reddit

Methods: survey design multiple linear regression image processing statistical hypothesis test computational algorithm

Theories: information theory