Chasing Cyber Security Unicorns: A Taxonomy-based Analysis of Cyber Security Start-ups’ Business Models

2023 | European Conference On Information Systems | Citations: 0

Authors: Schütz, Florian; Spierau, Bastian; Rampold, Florian; Nickerson, Robert; Trang, Simon

Abstract: ... Expand

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Topics: IT security business model database system computer hardware business-to-consumer

Methods: cluster analysis literature study qualitative content analysis structured literature research qualitative interview

Lo-fi Hip Hop Streaming in China: Online Engagement, Motivation, and Sense of Community

2023 | HICSS | Citations: 0

Authors: Zheng, N.

Abstract: A new wave of Lo-fi Hip Hop has emerged on YouTube, and Bilibili in China, tran ... Expand

Abstract: A new wave of Lo-fi Hip Hop has emerged on YouTube, and Bilibili in China, transforming into a trending and distinctive video streaming phenomenon. However, it remains unknown how viewers with divergent socio-cultural backgrounds engage with the Lo-fi Hip Hop streaming video on digital platforms, why they participate, and how the sense of community is exhibited. A qualitative mix-method study containing comment analysis and in-depth interviews (N=12) was conducted to investigate the uniqueness of the Lo-fi Hip Hop community on Bilibili. The findings revealed the difference in viewers' online community engagement between YouTube and Bilibili and various motivations of watching Lo-fi Hip Hop streaming. Lastly, the study also extends the Sense of Community (SoC) theory to the community with implications for the application. The study further contributes to the research of Lo-fi Hip Hop video streaming in a global context. Collapse

Topics: YouTube online community user experience virtual world video streaming service

Methods: personal interview qualitative interview qualitative content analysis qualitative coding

Theories: theory of affordance

How does artificial intelligence create business agility? Evidence from chatbots

2022 | International Journal of Information Management | Citations: 2

Authors: Wang, Xuequn; Lin, Xiaolin; Shao, Bin

Abstract: Artificial intelligence (AI) is gaining increasing attention from business leade ... Expand

Abstract: Artificial intelligence (AI) is gaining increasing attention from business leaders today. As a primary AI tool, chatbots have seen increasing use by companies to support customer service. An understanding of how chatbots are used is essential for improving customer service. Based on the relevant literature, this study examined the impacts of chatbot-enabled agility (namely, internal and external chatbot agility) on customer service perfor­ mance and explored the antecedents from the perspective of information technology use (both routine and innovative use). We collected data from 294 U.S. marketing employees from various industries, using a survey for the assessment of our research model. The results showed that both routine and innovative use of chatbots were positively related to internal and external agility. In particular, the innovative use of chatbots plays an important role in creating business agility. Moreover, internal and external agility are positively related to customer service performance. Through a close look at chatbots and their use, our study provides insight into the role of AI in creating business agility. Practically speaking, this study suggests that both the routine and the innovative use of chatbots should be encouraged to create agility and develop business sustainability. Collapse

Topics: customer service artificial intelligence marketing management information system use organizational innovation

Methods: chatbot survey post-hoc analysis PLS tool partial least squares regression

Theories: dynamic capabilities theory

A Taxonomy of Decentralized Autonomous Organizations

2022 | International Conference on Information Systems | Citations: 5

Authors: Ziegler, Christian; Welpe, Isabell

Abstract: Decentralized Autonomous Organizations (DAOs) are trustless organizations that ... Expand

Abstract: Decentralized Autonomous Organizations (DAOs) are trustless organizations that automate transactions, operations, and decisions without a trusted third party (Wang et al. 2019). So far, this research area is missing a taxonomy that investigates the different dimensions and characteristics of DAOs and the many different forms they can take. This paper addresses this research gap by creating a data-driven taxonomy analyzing 72 DAOs. In doing so, we identify the three main categories treasury, community, and governance, seven sub-categories, 20 dimensions, and 53 characteristics. In addition, we provide dimensions with inadmissible characteristics DAOs cannot take, as well as dimensions used to assess DAOs. The results of our agglomerative clustering are five distinct DAO types: On-chain product and service DAOs, off-chain product and service DAOs with community focus or with investor focus, investment-focused DAOs, and networking-focused community DAOs. Collapse

Topics: website brainstorming smart contract blockchain Ethereum

Methods: qualitative interview agglomerative hierarchical clustering cluster analysis hierarchical clustering theoretical contribution

The devil is in the details: The effect of nonverbal cues on crowdfunding success

2021 | Information & Management | Citations: 2

Authors: Li, Yuanqing; Xiao, Nan; Wu, Sibin

Abstract: Many reward-based crowdfunding platforms encourage entrepreneurs to introduce th ... Expand

Abstract: Many reward-based crowdfunding platforms encourage entrepreneurs to introduce their projects and make a personal appeal with a video clip. In this study, we investigate the impact of such a pitch video on financing outcomes. Grounded in social perception literature, we propose that effective use of nonverbal cues in a pitch video increases funding success. We coded and analyzed videos of crowdfunding campaigns and found that an entrepreneur could improve the funding outcomes by gazing less, appearing early, and reducing speech hesi­ tations in a pitch video. We also found that smiling has no impact on funding success. Collapse

Topics: crowdfunding crowdsourcing web page Twitter blog

Methods: robustness check statistical power analysis experiment qualitative coding statistical hypothesis test

THE OTHERS: The role of individual personality, cultural acculturation, and perceived value on towards firm’s social media and acculturation orientation

2020 | International Journal of Information Management | Citations: 0

Authors: Foroudi, Pantea; Marvi, Reza; Kizgin, Hatice

Abstract: This paper systematically examines (i) how individual personality can influence ... Expand

Abstract: This paper systematically examines (i) how individual personality can influence on cultural acculturation which can impact on the higher level of perceived value in LGBTs, and (ii) how the higher level of perceived value towards social media can result in being more satisfied, (iii) consequently having a better working life at workplace and performance proficiency. The generated framework was validated through a survey from multinational corporations in multi-industries such as higher education (with more than two campuses around the world), global fashion, global retailing, tourism, hospitality, food, and electronics and information technology. Key results, implications for managers and researchers are highlighted. Collapse

Topics: personality social media productivity Bing missing data

Methods: survey Mann Whitney U test nonparametric test SEM tool confirmatory factor analysis

Theories: social identity theory

Tracking Fitness or Sickness - Combining Technology Acceptance and Pri- vacy Research to Investigate the Actual Adoption of Fitness Trackers

2020 | HICSS | Citations: 0

Authors: Reith, Riccardo; Buck, Christoph; Lis, Bettina; Eymann, Torsten

Abstract: Personal data is often collected, processed and utilized without the knowledge o ... Expand

Abstract: Personal data is often collected, processed and utilized without the knowledge of the information system’s user. With regard to the enormous value of personalized data for companies as well as consumers’ tendency to unreflectively disclose their data, privacy concerns have been an essential topic for researchers since the mid-1990s. However, established research models of wearable IS-technologies are inadequate to comprehensively investigate the issue of privacy and its effects on acceptance variables. Therefore, the following study aims to empirically validate a research model which considers privacy concerns as a central construct in predicting the actual usage of fitness trackers. The results of our investigation underline the vital role of privacy concerns for the acceptance of fitness trackers and imply that the current providers’ advertising is insufficient in meeting the consumers’ needs. Collapse

Topics: information privacy concern privacy usage intention perceived usefulness perceived ease of use

Methods: survey archival research exploratory factor analysis factor analysis descriptive statistic

Theories: technology acceptance model privacy calculus theory

Representing the Twittersphere: Archiving a representative sample of Twitter data under resource constraints

2019 | International Journal of Information Management | Citations: 0

Authors: Hino, Airo; Fahey, Robert A.

Abstract: The rising popularity of social media posts, most notably Twitter posts, as a da ... Expand

Abstract: The rising popularity of social media posts, most notably Twitter posts, as a data source for social science research poses significant problems with regard to access to representative, high-quality data for analysis. Cheap, publicly available data such as that obtained from Twitter's public application programming interfaces is often of low quality, while high-quality data is expensive both financially and computationally. Moreover, data is often available only in real-time, making post-hoc analysis difficult or impossible. We propose and test a methodology for inexpensively creating an archive of Twitter data through population sampling, yielding a database that is highly representative of the targeted user population (in this test case, the entire population of Japanese-language Twitter users). Comparing the tweet volume, keywords, and topics found in our sample data set with the ground truth of Twitter's full data feed confirmed a very high degree of representativeness in the sample. We conclude that this approach yields a data set that is suitable for a wide range of post-hoc analyses, while remaining cost effective and accessible to a wide range of researchers. Collapse

Topics: Twitter application programming interface database system social media information management

Methods: topic model post-hoc analysis Gensim regression analysis method qualitative content analysis

Approach based on SPEA2-band selection and Random Forest classifier to generate thematic maps from hyperspectral images

2019 | Americas Conference on Information Systems | Citations: 0

Authors: Saqui, Diego; Saito, José Hiroki; Lima, Daniel Caio; Jorge, Lucio A. de C.; Ataky, Steve

Abstract: Hyperspectral images (HIs) and segmentation have become a promising solution fo ... Expand

Abstract: Hyperspectral images (HIs) and segmentation have become a promising solution for different applications such as the production of thematic maps (TMs) of agricultural areas. However, problems such as the Hughes phenomenon and high demand for computational resources are related to the high number of bands of HIs. This study proposes a hybrid approach of Strength Pareto Evolutionary Algorithm 2 (SPEA2) and Random Forest classifier for producing TMs, aiming at band selection and improvement of average recall of segmentation. In experiments, the proposed approach reduced the number of bands on average from 220 to 30 in the Indian Pines image and from 224 to 42 in the Salinas image. The proposed approach was statistically whether identical or better than other approaches regarding the average recall of segmentation. Therefore, the proposed approach is promising as regards band selection and competitive in segmentation being a potential tool for generating TMs. KeywordsThematic Maps, Band Selection, Hyperspectral images, Remote Sensing.Applications with images and RS can occur by thematic maps (TMs). TMs show the spatial distribution of identifiable earth surface features; it provides an informational description over a given area, rather than a data description. The themes can range, for example, from categories such as soil, vegetation, and surface water in a general description of a rural area, to different types of soil, vegetation, and water depth or clarity for a more detailed description (Schowengerdt 2007). In particular, in agricultural monitoring, TMs can SPEA2-band selection and RF to generate TM Collapse

Topics: Python

Methods: computational algorithm experiment paired t-test parametric test OpenCV

Is Politeness Catalytic and Contagious? Effects on Participation in Online News Discussions

2018 | HICSS | Citations: 0

Authors: Kim, Yeweon; Herring, Susan C

Abstract: This study investigates how the politeness strategies of readers who comment on ... Expand

Abstract: This study investigates how the politeness strategies of readers who comment on online news articles influence the participation and politeness behaviors of subsequent readers. We analyzed comments and replies collected from a South Korean news aggregator using a computer-mediated discourse analysis approach [15]; the gender of commenters was considered as a potential moderating factor. Results show that the politeness of comments did not affect the frequency of replies, and violations of politeness were prevalent in replies to all types of comments and addressees, especially in threads with mostly male participants. However, significant differences were found in responses to polite comments in maledominant versus female-dominant discussions. Polite comments served as a catalyst for active participation by repliers, but only when men dominated the discussions, and these comments elicited harsh replies. Conversely, only when women participated more did any replies tend to use polite language, and that was only when addressing the original commenter. Collapse

Topics: digital news website privacy social media electronic mail

Methods: parametric test chi squared test two-way ANOVA one-way ANOVA qualitative coding