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Front Matter
Front Matter
Evaluation of Risk Factors in the Armed Forces Physical Fitness Test
For the past few years, some officers and soldiers have remained with the Armed Forces for training purposes and for identifying injuries and deaths caused by accidents. This study constructed a research framework through literature review and ...
Chatbots in Academic Advising: Evaluating the Acceptance and Effects of Chatbots in German Student-University Communication
In order to attract new students, German universities must provide quick and easy access to relevant information. A chatbot can help increase the efficiency in academic advising for prospective students. In this study we evaluate the acceptance ...
Study on the Impact of Service Robot Autonomy on Customer Satisfaction
The rapid development of artificial intelligence technology has accelerated the promotion and application of service robot in the market. Although technology has provided service robot with increasingly autonomous functions, more research is ...
Interactive Robot-Aided Diagnosis System for Children with Autism Spectrum Disorder
Autism spectrum disorder (ASD) is a group of complex neurodevelopmental disorders characterized by difficulties with social communication and interaction as well as restrictive interest and stereotyped behavior. Despite the behavioral symptoms of ...
The Role of Technology-Ethical Leadership Interaction in Minimising Unethical Acts: Implications for Research and Practice
Various historical events and attitudes have demonstrated that ethical leaders might intentionally or unintentionally make unethical decisions. History suggests that ethical leaders relying on strong technology alone could make unforgivable ...
Systematic Literature Review on the User Evaluation of Teleoperation Interfaces for Professional Service Robots
Remote-controlled robots can perform common tasks, thereby minimizing the exposure to the risks faced by employees in hazardous occupations. The focus of the review in this paper is on the user evaluation of teleoperation interfaces of service ...
Safety of Human-Robot Collaboration within the Internet of Production
- Minh Trinh,
- Hannah Dammers,
- Mohamed Behery,
- Ralph Baier,
- Thomas Henn,
- Daniel Gossen,
- Burkhard Corves,
- Stefan Kowalewski,
- Verena Nitsch,
- Gerhard Lakemeyer,
- Thomas Gries,
- Christian Brecher
Recent trends in globalization have led to an increased competitive pressure, particularly affecting the manufacturing industry. The Cluster of Excellence “Internet of Production” (IoP) aims at developing innovative solutions and reshaping ...
Fuzzy-Set Qualitative Comparative Analysis (fsQCA) in Xiamen’s High-Quality Industrial Development
The industrial economy serves as the “ballast stone” for the national economy’s persistent and steady growth, acting as a potent stimulus for macroeconomic expansion and assuring societal stability. This paper employed fuzzy set qualitative ...
Front Matter
Effect of AI Generated Content Advertising on Consumer Engagement
With a series of major breakthroughs in AI technology, the use of AI generated content (AIGC) has become one of the most popular research topics. Social media marketing has become also a mainstream and irreplaceable way for marketing subject. Many ...
AI-Enabled Smart Healthcare Ecosystem Model and Its Empirical Research
This paper combines the ecosystem theory to study the AI-enabled healthcare ecology and build a smart healthcare ecosystem. The ecosystem growth model is employed to discuss the growth and change patterns of innovative companies adopting AI ...
Using Co-word Network Community Detection and LDA Topic Modeling to Extract Topics in TED Talks
Two topic detection techniques—co-word network analysis and topic modeling—were applied to extract topics in the Ted Talks. Ted Talks was chosen for its enormous impact worldwide and the rich descriptive data accompanying each talk that allow us ...
Emotional Analysis through EEG on In-Store Journey: Pilot Methodology for Evocation of Emotions Through Video Stimuli to Measure Performance Metrics Using EEG Emotiv EPOC+ on In-Store Experiences
- Fernando U. Osornio García,
- Gilberto A. Fragoso González,
- Mayté V. Martínez Pérez,
- Fernando Báez Martínez,
- Mario H. Salas Barraza,
- Víctor M. González
This work presents the results of a pilot study for emotion evocation to explore the customer journey in a departmental store to detect possible friction points using biosignals and a retrospective verbalization. Our proposed methodology relies on ...
A Machine Learning Model for Predicting a Movie Sequel’s Revenue Based on the Sentiment Analysis of Consumers’ Reviews
The relationship between the performance of movie sequels, the performance of the corresponding original movies and the users’ review sentiments is actively studied in the scientific community. However, the precise constitution of this ...
Participative Process Model for the Introduction of AI-Based Knowledge Management in Production
The growing shortage of skilled workers and the large number of employees from the 1960s so-called baby boom generation who will be retiring in the next few years are current and growing major challenges for companies in Germany. When people ...
Automating Data Personas for Designing Health Interventions
- Gaayathri Sankar,
- Soussan Djamasbi,
- Daniel J. Amante,
- Adarsha S. Bajracharya,
- Qiming Shi,
- Yunus Dogan Telliel,
- Torumoy Ghoshal
In user experience (UX) research, persona development can be particularly beneficial in designing digital health interventions. From our previous work, we identified challenges that diabetic patients face in adhering to guideline-recommended care ...
Option Pricing Using Machine Learning with Intraday Data of TAIEX Option
The use of artificial intelligence (AI) in the financial sector has become increasingly popular in recent years. This study focuses on the application of machine learning (ML) for option pricing using intraday data on Taiwan's Capitalization ...
Distinguishing Good from Bad: Distributed-Collaborative-Representation-Based Data Fraud Detection in Federated Learning
Breaking down data silos and promoting data circulation and cooperation is an important topic in the digital age. As data security and privacy protection have received widespread attention, the traditional cooperation model based on data ...
Front Matter
Why Do People Donate for Live Streaming? Examining the S-O-R Process of Sponsors in the Live Streaming Context
As live streaming becomes more popular, research has not fully explored how and why people donate in live streaming. Current studies examine motivations and need satisfaction to explain why people participate in live streaming. However, these ...
The Socioemotional Wealth Effect on Intra-family Succession in Family Businesses
CEO succession brings temporary internal disruption and opportunities to adapt firms’ strategies and fast-changing environments. To better understand CEO succession in family businesses, this study draws on socioemotional wealth (SEW) perspectives ...
An Experimental Study of the Relationship Between Static Advertisements Effectiveness and Personality Traits: Using Big-Five, Eye-Tracking, and Interviews
The study aimed to explore the influence of advertising on purchasing behavior in an online store. 43 participants (17 female) were given 1,000 euros to navigate the store and make purchases. Eye-tracking data, questionnaires, and semi-structured ...
User Study on a Multi-view Environment to Identify Differences Between Biological Taxonomies
The classification of living organisms is essential to understand biodiversity and, therefore, to support its conservation. The taxonomic system classifies living organisms into hierarchically organized groups. Classification is not always a ...
Analysis and Application of a Batch Arrival Queueing Model with the Second Optional Service and Randomized Vacation Policy
This paper aims to investigate M[X]/(G1, G2)/1/VAC(J) queuing system with a random(p) vacation policy and optional second service, where X is the batch arrival number of customers. When no customers are in the system, the server immediately goes ...
Communicating Sustainability Online: A Soft Systems Methodology and Corpus Linguistics Approach in the Example of Norwegian Seafood Companies
This article presents a qualitative case study of the Norwegian seafood industry's sustainability communication on corporate websites. The research questions focused on how sustainability is communicated, and the communication channels employed by ...