Article
Psychology, Multidisciplinary
Qingqing Wang, Wensong Zhang, Haikun Wang
Summary: This study developed and validated a multidimensional scale to measure privacy concerns on short-form video platforms based on privacy concerns theory. The scale consists of three dimensions: collection concerns, awareness concerns, and usage concerns. The results showed that the scale has good reliability, convergent validity, and content validity, providing a basis for short-form video platforms to manage privacy concerns and future research.
FRONTIERS IN PSYCHOLOGY
(2022)
Article
Computer Science, Information Systems
Cesar A. Collazos, Habib Fardoun, Deema AlSekait, Carla Santos Pereira, Fernando Moreira
Summary: The global pandemic has led to the emergence of a new teaching-learning environment, presenting opportunities for technological advancements in e-learning platforms. While e-learning offers benefits like cost reduction and on-demand education, it may also pose challenges such as difficulties in communication. A report on Latin American teachers and students highlighted the importance of considering emotions and awareness when using e-learning platforms during lockdown situations.
Article
Psychology, Multidisciplinary
Xin Liu, Chenhui Zhao, Zimeng Chen, Qing Wang
Summary: This study investigates online interactions in organizational context through two research phases and identifies two dimensions: employee-employee online interaction and employee-platform online interaction. The qualitative phase determines the indicators of online interaction, while the quantitative phase employs a systematic scale development process to create and validate a new online interaction scale.
FRONTIERS IN PSYCHOLOGY
(2022)
Article
Social Issues
Sigal Tifferet
Summary: The study developed and validated the Verifying Online Information (VOI) self-report scale, which assesses individual differences in online information verification, with high reliability and validity. The scale consists of two underlying factors: direct and indirect verification of online information. This will help researchers and educators evaluate behaviors associated with verifying online information.
TECHNOLOGY IN SOCIETY
(2021)
Article
Management
Ali Aouad, Daniela Saban
Summary: Motivated by online labor markets, this paper focuses on the online assortment optimization problem faced by a two-sided matching platform. The study investigates how platforms should design online assortment algorithms to maximize the expected number of matches in such settings. The results show that a simple greedy algorithm is 1/2-competitive against an optimal clairvoyant algorithm. However, no randomized algorithm can achieve a better competitive ratio, even in asymptotic regimes. The study further explores structured settings and develops new preference-aware balancing algorithms to improve the competitive ratios. The findings highlight the importance of suppliers' choices in designing online assortment algorithms for two-sided matching platforms.
MANAGEMENT SCIENCE
(2023)
Article
Engineering, Civil
Merkouris Karaliopoulos, Orestis Mastakas, Wei Koong Chai
Summary: Our work focuses on online parking reservation platforms that have been proposed in the past decade to address the parking challenges in cities worldwide. These platforms aim to facilitate transactions between parking space providers and drivers by enlisting parking resources from commercial operators and individuals, allowing drivers to make online reservations through mobile apps. We formulate optimization problems for maximizing the platform's revenue by differentiating between fixed per transaction and proportional commissions. We design a novel algorithm that combines greedy and dynamic programming principles to solve these NP-hard problems efficiently. Through experiments and analysis of real parking data, we demonstrate the algorithm's effectiveness in optimizing parking resource reservation, achieving gains of up to 35% compared to existing policies.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2023)
Article
Business
Xiaoming Zheng, Dan Ni, Xin Liu, Lindie H. Liang
Summary: Mindfulness in the workplace has received increasing attention, but few studies have developed a valid measurement for this construct. This research proposes a multidimensional model of workplace mindfulness and develops a psychometrically sound scale through seven phases of research. The results support the proposed model and demonstrate the reliability and validity of the developed scale, making it a valuable tool for assessing employees' mindfulness in working situations.
JOURNAL OF BUSINESS AND PSYCHOLOGY
(2023)
Article
Hospitality, Leisure, Sport & Tourism
Huifeng Pan, Hong-Youl Ha
Summary: This study develops and validates a multidimensional scale for measuring online relationship avoidance (ORA) in the global tourism context, providing evidence of its accuracy and effectiveness through five studies. The study also offers theoretical and practical insights into customer relationships.
JOURNAL OF HOSPITALITY AND TOURISM MANAGEMENT
(2022)
Article
Computer Science, Artificial Intelligence
Yingying Chen, Zijie Hong, Xiaowei Yang
Summary: This article introduces a cost-sensitive online adaptive kernel learning algorithm to address large-scale imbalanced classification problems. It proposes a misclassification cost to balance the accuracy between the minority class and the majority class. Experimental results demonstrate that the algorithm significantly improves classification performance on most large-scale imbalanced datasets.
IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING
(2023)
Article
Green & Sustainable Science & Technology
Cagdas Gonen, Ece Ummu Deveci, Meryem Nur Aydede
Summary: The study developed a valid and reliable Likert-type scale for assessing high school students' climate change awareness. The scale consists of 17 items and showed good fit with the data.
ENVIRONMENT DEVELOPMENT AND SUSTAINABILITY
(2023)
Article
Business
Semila Fernandes, V. G. Venkatesh, Rajesh Panda, Yangyan Shi
Summary: This study developed an 'Online Susceptibility Scale' (OSS) to explore the factors influencing shopper buying decisions in an online environment, aiming to understand the impact of online information on consumer decisions. Through qualitative and quantitative studies, the scale was validated and found to significantly impact buyer purchase decisions in terms of online information sources.
JOURNAL OF RETAILING AND CONSUMER SERVICES
(2021)
Article
Computer Science, Cybernetics
Johan Espinoza-Rojas, Ignacio Siles, Thomas Castelain
Summary: This study examines the awareness and attitudes of Costa Rican users of Netflix and Spotify towards algorithms. The findings show that multi-platform users are more aware of algorithms and take more practical actions to obtain algorithmic recommendations.
BEHAVIOUR & INFORMATION TECHNOLOGY
(2023)
Article
Behavioral Sciences
Kimberly Carriere, Syeda Huma Shireen, Nellie Siemers, Christian Erik Prei ssner, Joshua Starr, Carl Falk, Barbel Knauper
Summary: The study aimed to develop and evaluate a multifaceted mindful eating scale that assesses several domains of eating-specific mindfulness. Through a series of studies, a final scale consisting of 29 items with 4 factors was determined, showing good internal consistency and validity. Future research should continue to investigate the differential effects of various aspects of eating-specific mindfulness in preventing and treating obesity and its comorbidities.
Article
Education & Educational Research
Mehdi Rajeb, Yurou Wang, Kaiwen Man, Laura M. Morett
Summary: The COVID-19 pandemic had a significant impact on education systems, particularly in developing nations where online learning faced challenges. This study developed the AOL scale to examine the factors influencing students' acceptance of online learning, including institutional factors and student-related factors. The results highlighted the importance of institutional factors such as technological sufficiency, instructor efficiency, and technical assistance in students' acceptance of online learning in developing nations.
ETR&D-EDUCATIONAL TECHNOLOGY RESEARCH AND DEVELOPMENT
(2023)
Article
Psychology, Multidisciplinary
Shegang Zhou, Yanfei Hou, Ding Liu, Duo Xu, Xiaoyuan Zhang
Summary: The study developed and validated the Psychotherapy Style Scale (PSS), which has shown reliability and validity in helping understand therapists' behavioral characteristics and selecting the most appropriate therapists for clients.
FRONTIERS IN PSYCHOLOGY
(2021)
Article
Business
Brahim Zarouali, Sophie C. Boerman, Hilde A. M. Voorveld, Guda van Noort
Summary: This paper introduces a comprehensive and dynamic framework for studying the role of algorithms in persuasive communication. The framework consists of five conceptual components, covering the inputs, algorithms, persuasion attempts, persuasion process, and persuasion effects in the algorithmic persuasion process.
Article
Business
Sophie C. Boerman, Celine M. Muller
Summary: The study found that Instagram users are aware of influencer marketing, but still make identification errors, with users paying more attention to brand tags and 'Paid partnership' labels in pictures than to #ad. Disclosures, brand presence, and influencer types all impact users' level of conceptual persuasion knowledge regarding influencer marketing.
INTERNATIONAL JOURNAL OF ADVERTISING
(2022)
Editorial Material
Communication
Sanne Kruikemeier, Sophie C. Boerman, Nadine Bol
Summary: The articles in this thematic issue explore how algorithms have changed communication in various contexts, using a variety of research methods. They all revolve around one central question, discussing both the opportunities and challenges posed by algorithmic influence.
MEDIA AND COMMUNICATION
(2021)
Letter
Surgery
Anne-Mette Hermans, Sophie C. Boerman, Jolanda Veldhuis, Tom Decates
JOURNAL OF PLASTIC RECONSTRUCTIVE AND AESTHETIC SURGERY
(2022)
Article
Business
Sophie C. Boerman, Edith G. Smit
Summary: This article looks back at 40 years of research in the International Journal of Advertising (IJA) and provides a state-of-the-art analysis of advertising research addressing consumer privacy. A systematic literature review of 84 IJA publications reveals an increasing attention to privacy in advertising research. The review highlights the connection between privacy and various advertising formats, as well as three main ways in which privacy is discussed: in the context of advertising ethics and regulations, in relation to personal traits of different consumers, and to explain advertising responses and effects. The article also proposes a research agenda for future advertising research on privacy, focusing on personalization in the public domain, privacy cynicism, and potential future constraints to personalization.
INTERNATIONAL JOURNAL OF ADVERTISING
(2023)
Article
Communication
Sophie C. Boerman, Marijn H. C. Meijers, Wietske Zwart
Summary: To combat climate change, it is important for people to change their behaviors. This study finds that utilizing influencers, or "greenfluencers," on Instagram can stimulate pro-environmental behavior. The congruence between influencers and their messages increases both influencer credibility and pro-environmental intentions. The effect of influencer-message congruence is not influenced by the type of influencer.
ENVIRONMENTAL COMMUNICATION-A JOURNAL OF NATURE AND CULTURE
(2022)
Article
Psychology, Clinical
Anne-Mette Hermans, Sophie C. Boerman, Jolanda Veldhuis
Summary: This study investigates the relationship between young adults' perceptions of cosmetic procedures and their social media behaviors. The results show that young adults have a low intention for cosmetic procedures, but they overestimate the prevalence of such procedures among others. Following influencers who have undergone cosmetic procedures increases the intention for cosmetic procedures, while following influencers who have not undergone procedures decreases the intention. Additionally, frequent use of filters to edit pictures is associated with increased acceptance and intention for cosmetic procedures.
Article
Communication
Sophie C. Boerman, Joanna Strycharz, Edith G. Smit
Summary: This study investigates the most effective intervention strategies for increasing privacy protection behavior. Three strategies, including increasing awareness of privacy threats, training effective privacy protection behavior, and addressing privacy fatigue, were examined in a longitudinal experiment in the Netherlands. Results showed that the training strategy had positive effects on self-efficacy, response efficacy, and various privacy protection behaviors in the short- and long-term. However, the threat and fatigue strategies did not have the anticipated effects, except for immediate improvements in blocking intentions and cookie rejection behavior, respectively.
COMMUNICATION RESEARCH
(2023)
Article
Business
Dong Zhang, Hilde Voorveld, Sophie C. Boerman
Summary: The present study investigates the boundary conditions for the persuasiveness of online behavioral advertising (OBA) by examining the influences of privacy concerns and OBA knowledge as consumer characteristics, and comparing the roles of Dutch and Chinese individuals. Results from an online experiment indicate that OBA is less effective for individuals with high privacy concerns, and OBA knowledge does not influence its positive effects. Furthermore, OBA is more effective for Dutch consumers than for Chinese consumers, possibly due to the higher privacy concerns of Chinese consumers.
JOURNAL OF CURRENT ISSUES AND RESEARCH IN ADVERTISING
(2023)
Article
Health Care Sciences & Services
Anne L. Vos, Gert-Jan de Bruijn, Michel C. A. Klein, Jeroen Lakerveld, Sophie C. Boerman, Edith G. Smit
Summary: This study developed SNapp, a smartphone app intervention aimed at promoting walking in adults of low socioeconomic position (SEP) by providing tailored coaching messages. SNapp is theory-based and is among the first to incorporate contextualized feedback and content tailored to individual behavior change technique (BCT) preferences. The pilot evaluation showed positive ratings and participants suggested additional functionalities for future updates.
JMIR FORMATIVE RESEARCH
(2023)
Article
Business
Hilde A. M. Voorveld, Corine S. Meppelink, Sophie C. Boerman
Summary: This study aims to identify and investigate different consumer groups' responses to algorithmic persuasion in social media. By conducting an online survey and cluster analysis, four distinct consumer groups were identified, each differing in various characteristics. This study contributes to the understanding of algorithmic persuasion from both theoretical and practical perspectives.
INTERNATIONAL JOURNAL OF ADVERTISING
(2023)
Article
Psychology, Multidisciplinary
Eva A. van Reijmersdal, Sophie C. Boerman, Guda van Noort
Summary: This study examines the effects of online behaviorally targeted native advertising and tests two explanatory mechanisms. The results show that behaviorally targeted native advertising has a positive effect on ad and brand responses by increasing perceived personal relevance. Furthermore, the perception of online behavioral advertising as a persuasion tactic does not negatively affect persuasion outcomes.
COMPUTERS IN HUMAN BEHAVIOR REPORTS
(2022)
Article
Communication
Sophie C. Boerman, Sanne Kruikemeier, Frederik J. Zuiderveen Borgesius
Summary: The research reveals that people tend to only occasionally protect their online privacy, with a preference for deleting cookies and browser history or declining cookies; there is a general perception that the collection, usage, and sharing of personal information poses a severe threat, but individuals lack confidence in their own efficacy to protect their online privacy.
COMMUNICATION RESEARCH
(2021)
Article
Business
Sophie C. Boerman, Tina Tessitore, Celine M. Mueller
Summary: The study reveals that brand placement disclosures increase ad recognition in the short-term and have a lasting effect on both ad recognition and brand memory in the long-term. However, resistance effects on skepticism, brand attitude, and purchase intention were not replicated in either the short-term or long-term.
INTERNATIONAL JOURNAL OF ADVERTISING
(2021)
Article
Information Science & Library Science
Frank M. Ventrella, Megan Cotnam-Kappel
Summary: Research on digital inequalities and their societal implications has found that teachers in Canadian elementary schools recognize the existence of digital inequalities among their students. These inequalities include disparities in device availability and usage, discrepancies in online engagement and skill development, and differences in digital confidence. The study emphasizes the need to address these inequalities to promote equitable access to digital resources and opportunities for all students, as well as targeted professional development for educators. Considering teachers' perspectives is crucial in understanding and mitigating the impact of digital inequalities on culture and society.
TELEMATICS AND INFORMATICS
(2024)
Article
Information Science & Library Science
Jaewon Royce Choi, Seongcheol Kim
Summary: This study applies a theoretical framework of surveillance culture to capture individual perceptions and behaviors related to privacy and surveillance in the context of smart health. The results show that institutional trust and perceived comfort levels significantly predict individuals' self-tracking behavior, and there are statistically significant cross-national differences between the US and South Korea.
TELEMATICS AND INFORMATICS
(2024)
Article
Information Science & Library Science
Jing (Kristen) Zhang, Riwei Liu
Summary: This study investigates the relationship between user engagement and technological affordances in game live streaming platforms. The findings suggest that interactivity-based gratifications and user identification significantly influence user engagement levels. These results provide valuable empirical evidence for scholars and practitioners to consider technological factors and streamers' roles in understanding and fostering user engagement in the game live streaming industry.
TELEMATICS AND INFORMATICS
(2024)
Article
Information Science & Library Science
Shubin Yu, Luming Zhao
Summary: This paper investigates the role of emojis in enhancing chatbot interactions through three experiments. The results reveal that emojis increase the perceived warmth of chatbots but do not necessarily enhance their competence. The increase in warmth leads to boosted service satisfaction, especially when chatbots serve hedonic purposes and are pre-programmed.
TELEMATICS AND INFORMATICS
(2024)
