Self-Building Artificial Intelligence and Machine Learning to Empower Big Data Analytics in Smart Cities

2023 | Information Systems Frontiers | Citations: 0

Authors: Alahakoon, Damminda; Nawaratne, Rashmika; Xu, Yan; De Silva, Daswin; Sivarajah, Uthayasankar; Gupta, Bhumika

Abstract: The emerging information revolution makes it necessary to manage vast amounts of ... Expand

Abstract: The emerging information revolution makes it necessary to manage vast amounts of unstructured data rapidly. As the world is increasingly populated by IoT devices and sensors that can sense their surroundings and communicate with each other, a digital environment has been created with vast volumes of volatile and diverse data. Traditional AI and machine learning techniques designed for deterministic situations are not suitable for such environments. With a large number of parameters required by each device in this digital environment, it is desirable that the AI is able to be adaptive and self-build (i.e. self-structure, self-configure, self-learn), rather than be structurally and parameter-wise pre-defined. This study explores the benefits of self-building AI and machine learning with unsupervised learning for empowering big data analytics for smart city environments. By using the growing self-organizing map, a new suite of self-building AI is proposed. The self-building AI overcomes the limitations of traditional AI and enables data processing in dynamic smart city environments. With cloud computing platforms, the self-building AI can integrate the data analytics applications that currently work in silos. The new paradigm of the self-building AI and its value are demonstrated using the IoT, video surveillance, and action recognition applications. Collapse

Topics: artificial intelligence smart city big data cloud computing distributed system

Methods: computational algorithm experiment unsupervised learning machine learning longitudinal research

Informational and emotional appeals of cover image in crowdfunding platforms and the moderating role of campaign outputs

2023 | Decision Support Systems | Citations: 0

Authors: Chen, Shiqin; Wang, Hongwei; Fang, Yulin; Wang, Wei

Abstract: The first-stage decision is critical in the decision process in crowdfunding, wh ... Expand

Abstract: The first-stage decision is critical in the decision process in crowdfunding, where the cover image plays an important role in forming first impressions and persuading click funders. This study explores how emotional visual cues (human face) and informational visual cues (visual text) in the cover image affect funders’ decisions and how the effects differ across campaigns. The results demonstrate the great persuasive power of human faces and visual text. We further illustrate the effects of joyful expressions and image-text congruency as well as the non-significant influence of the length and polarity of visual text. Moreover, emotional visual cues are more effective in intangible product campaigns, while informational visual cues are more effective in tangible product campaigns, and both are important in social service campaigns. Valuable insight is provided to creators about the design of the cover image. Collapse

Topics: crowdsourcing crowdfunding decision making application programming interface missing data

Methods: robustness check sentiment analysis descriptive statistic deep learning theoretical contribution

Theories: processing fluency theory

Collateral Damage: The Relationship Between High-Salience Events and Variation in Racial Discrimination

2023 | Organization Science | Citations: 0

Authors: Gorbatai, Andreea; Younkin, Peter; Burtch, Gordon

Abstract: To what extent are individual or organizational biases affected by racially sali ... Expand

Abstract: To what extent are individual or organizational biases affected by racially salient events? We propose that acts of discrimination and the individual biases that undergird them are sensitive to high-salience events and will oscillate with the salience of the focal attribute. In short, that the propensity to discriminate reflects both individual and environmental differences, and therefore a given person may become more prone to discriminate in the aftermath of a high-salience event. We test our hypothesis in three online experiments that examine how varying the salience of race affects the evaluation of in-group or out-group founders. We find that respondents evaluate their in-group members more favorably, and out-group members less favorably, when exposed to a high-salience event, which translates into a significant disadvantage for the minority (African American) group. We complement these studies with an assessment of how police shootings affect fundraising outcomes on Kickstarter to confirm the external validity of our findings. Together, these studies indicate that racially salient events depress the quality evaluations and success odds of African American entrepreneurs relative to others. Hence, discrimination levels can be affected by salient yet unrelated events, and such events are consequential for the economic fortunes of individuals belonging to minority and disadvantaged groups.History: This paper has been accepted for the Organization Science Special Issue on Experiments in Organizational Theory.Supplemental Material: The online appendices are available at https://doi.org/10.1287/orsc.2021.1527. Collapse

Topics: crowdfunding crowdsourcing website criminality application programming interface

Methods: experiment parametric test statistical hypothesis test survey facial recognition system

The future is yesterday: Use of AI-driven facial recognition to enhance value in the travel and tourism industry

2023 | Information Systems Frontiers | Citations: 0

Authors: Gupta, Shivam; Modgil, Sachin; Lee, Choong-Ki; Sivarajah, Uthayasankar

Abstract: This study aims to investigate the role of artificial intelligence (AI) driven f ... Expand

Abstract: This study aims to investigate the role of artificial intelligence (AI) driven facial recognition to enhance a value proposition by influencing different areas of services in the travel and tourism industry. We adopted semi-structured interviews to derive insights from 26 respondents. Thematic analysis reveals the development of four main themes (personalization, data-driven service offering, security and safety, and seamless payments). Further, we mapped the impact of AI- driven facial recognition to enhance value and experience for corporate guests. Findings indicate that AI-based facial recognition can facilitate the travel and tourism industry in understanding travelers’ needs, optimization of service offers, and value-based services, whereas data-driven services can be realized in the form of customized trip planning, email, and calendar integration, and quick bill summarization. This contributes to strengthening the tourism literature through the lens of organizational information processing theory. Collapse

Topics: artificial intelligence usability personalization human resource management pandemic

Methods: facial recognition system biometric measurement personal interview qualitative interview qualitative content analysis

Theories: organizational information processing theory

Trust antecedents in online reviews across national cultures

2023 | Decision Support Systems | Citations: 0

Authors: Kim, Youngeui; Srite, Mark; Zhao, Huimin

Abstract: When reading an online review, consumers rely on implied trust-building factors ... Expand

Abstract: When reading an online review, consumers rely on implied trust-building factors within it. Trust antecedents have been extensively researched and categorized into argument quality and source credibility. However, there is still a need to investigate how their help for consumers differs across national cultures. Furthermore, while a profile photo has been found to enhance the helpfulness of a review by improving source credibility, little is known about how consumers perceive user appearance in a review picture and no research has compared these two types of visual information. To bridge these gaps, we examine how trust antecedents and visual information help consumers’ decision making differently across national cultures, using reviews collected from Amazon in the US and Germany, respectively. Our results show that information quality is more helpful for consumers in an individualistic and low uncertainty avoidance culture, whereas source credibility is more valued in the opposite culture. Interestingly, the effects of the two types of visual information, user appearance in a profile photo versus in a review picture, also differ across cultures. This research contributes to the online review literature by introducing visual information and national culture with new perspectives of trust. Our findings suggest that multinational e-commerce businesses adopt culture-specific strategies in review systems to better help consumers make informed purchase decisions. Collapse

Topics: national culture online review Vine data quality information retrieval

Methods: robustness check topic model term frequency–inverse document frequency propensity score method natural language processing

Detection of interaction-based knowledge for reclassification of service robots: big data analytics perspective

2023 | HICSS | Citations: 0

Authors: Lyu, F.; Wang, M.; Choi, J.

Abstract: With the advancement of artificial intelligence technology, the robot industry ... Expand

Abstract: With the advancement of artificial intelligence technology, the robot industry in human-robot interactive service has rapidly developed. The purpose of this paper is to uncover user acceptance of humanrobot interactive service robots based on online reviews. Extract reviews the public service robots and the domestic service robots from YouTube uses word2vec, sentiment classification, and LDA (Latent Dirichlet Allocation) analysis methods for research. The results show that in the interactive technology, the public service robots, the domestic service robots, and the service robots can well receive the user's speech, gestures, and understanding of emotional states and navigating with and around. However, collaborating with humans, users may be more fearful and worried. At the same time, the positive topic of the public service robots is experience value, and the negative topic is system quality. The positive topic of the domestic service robots is anthropomorphism, and the negative topic is perceived intelligence. Collapse

Topics: robotic YouTube user acceptance online review service quality

Methods: word2vec natural language processing computational algorithm topic model classification method

Content Creator versus Brand Advertiser? The Effect of Inserting Advertisements in Videos on Influencers Engagement

2023 | HICSS | Citations: 0

Authors: Ma, Tengteng; Lu, Yingda; Hu, Yuheng; Chen, Xi; Chen, Yuxin

Abstract: Influencer advertising has become an indispensable component of online marketing ... Expand

Abstract: Influencer advertising has become an indispensable component of online marketing due to the exponential growth of social influencers and their influence. Whereas the effectiveness of using influencer endorsements is well studied from the brand or company perspective, how the commercial endorsements affect influencers themselves is an important yet unrevealed question. We empirically examine the instantaneous (measured using live comment sentiment) and longer-term (measured using video feedback and follower number change) influence of inserting advertisements in videos on influencers’ reputation. We further investigate how this effect can be moderated when influencers demonstrate stronger endorsement by showing their faces during advertisements. Our result suggests that inserting advertisements have a negative impact on both instantaneous and longer-term viewer engagement; advertisements with influencers’ face showing moderate the negative effect of advertisements on viewers’ instantaneous response, while the different impact between advertisements with/out influencers showing their faces is not significant in the longer term. Collapse

Topics: advertising management marketing management social media website application programming interface

Methods: deep learning longitudinal research difference in differences biometric measurement facial recognition system

Theories: social presence theory

Memoirs from Bukhalalire: a poetic inquiry into the lived experience of M-PESA mobile money usage in rural Kenya

2023 | European Journal of Information Systems | Citations: 0

Authors: McBride, Neil; Liyala, Samuel

Abstract: M-PESA is the world’s leading mobile money system which supports the person-to-p ... Expand

Abstract: M-PESA is the world’s leading mobile money system which supports the person-to-person transfer of money. While the institutional meaning of M-PESA concerning financial inclusion and market access is well documented, the meaning attached to M-PESA by users, particularly in rural communities, has received less attention. This study examines the meaning of M-PESA to the rural poor in villages in Busia County, Western Kenya using the approach of poetic inquiry in which the expressions of local people are rendered as poetry in order to draw out affective and lived experience. A reading of the poems of seven participants reveals the perception of M-PESA as a means of empowerment for women, alignment with their social identity and access to education. This contrasts sharply with the meaning of M-PESA as seen by commercial and non-commercial institutions which focuses on connecting the unbanked to formal banking systems and the exploitation of M-PESA as a primary revenue stream. The paper concludes by highlighting the need for regulation which is delicately balanced between independence from institutional control and the exposure of the rural poor to exploitation. Collapse

Topics: mobile payment mobile system social identity social media social network

Methods: qualitative interview field study focus group biometric measurement facial recognition system

Using Multi-Factor Authentication for Online Account Security: Examining the Influence of Anticipated Regret

2023 | Information Systems Frontiers | Citations: 0

Authors: Ogbanufe, Obi M.; Baham, Corey

Abstract: Authentication plays an important role in securing our systems but is threatened ... Expand

Abstract: Authentication plays an important role in securing our systems but is threatened by increasingly sophisticated account hacking and account take over. Several security services have been developed, including multi-factor authentication (MFA) designed to cope with online account authentication. It remains unknown how users perceive and evaluate secure authentication for online account threats and consequently use it to protect their online account. Drawing on the Protection Motivation Theory (PMT) and the literature on anticipated regret, this study investigates the factors that affect the use of MFA secure authentication to avoid online account threats. This work extends PMT by showing how the emotion of anticipated regret heightens appraisals of threat and coping. Collapse

Topics: electronic authentication multi-factor authentication IT security mobile system cloud storage

Methods: survey theory development structural equation modeling facial recognition system biometric measurement

Theories: protection motivation theory

Moral Reasoning and Acceptability of Technologies that Violate Fundamental Human Rights

2023 | Americas Conference on Information Systems | Citations: 0

Authors: Ray, Argha; Sarkar, Sandip Kumar

Abstract: The development of Artificial Intelligence (AI) requires careful reflection. Wi ... Expand

Abstract: The development of Artificial Intelligence (AI) requires careful reflection. With advances in AI, there is growing realization that some basic parameters of our human condition will change in the future, desirably or undesirably. AI technologies are neither good nor bad, but we must make a societal choice to embed fundamental human rights and democratic values when we design and use such technologies. A tool that can empower can also become a tool for mass surveillance or a tool for perpetuating discrimination. With promises of AI, we as a society must address its failings as well. In this paper we propose that our morality may well weigh on our principled judgment on such technologies. We use the Moral Stages and the Moral Foundations theories to explore whether people with particular moral orientations are likely to be at odds accepting usefulness of technologies that violate our rights to privacy or nondiscrimination. Collapse

Topics: privacy perceived usefulness public good technology adoption information privacy concern

Methods: survey biometric measurement facial recognition system field study