Internet Research最新文献

Purpose

The paper aims to develop and validate an instrument to measure users’ perceptions of online personalized advertising.

Design/methodology/approach

First, we identified 12 different aspects of online personalized advertisement and formulated candidate items through a literature review. A card sorting study and expert review were conducted to generate the initial scale items. We then conducted one survey (n = 308) to create a reliable measurement instrument and another (n = 296) to validate the instrument. Finally, we tested how the dimensions of the OPAD-Perception Framework can be used to differentiate between different levels of ad sensitivity, control/no control over the ad personalization process, and different levels of granularity of ad explanation.

Findings

The resulting OPAD-Perception Framework contains 49 Likert-formatted questions measuring ten distinct dimensions of online personalized advertising: reliability, usefulness, transparency, interactivity, targeting accuracy, accountability, creepiness, willingness to rely on, self-actualization, and persuasion.

Originality/value

The OPAD-Perception Framework can serve as a powerful tool to measure users’ attitudes toward online personalized advertising. This will enable advertisers and social media platforms to better support users’ privacy expectations and provide user-friendly interfaces for controlling the ad personalization process.

Purpose

Existing research has shown the role of social media in facilitating general protest participation. However, there is a noticeable gap in understanding the dynamics related to explicitly unlawful behaviors during protests, which have become increasingly prominent in recent times. Drawing upon the communication mediation model (O-S-O-R model), this study proposes a moderated mediation model to delineate specific mechanisms under which social media use influences individuals' support for unlawful behaviors in protests.

Design/methodology/approach

A survey of 1,121 Hong Kong residents was conducted in the context of the 2019 Hong Kong Anti-Extradition Law Amendment Bill Movement to test the theoretical model.

Findings

Obtaining political information on social media has a dual effect on support for unlawful behaviors in protests. On one hand, social media use increases individuals' political knowledge, which is reinforced by frequent political discussions on social media. This enhanced political knowledge tends to reduce the likelihood of supporting unlawful behaviors in protests. On the other hand, acquiring political information on social media can also generate increased anger toward politics, potentially leading to a more supportive attitude toward unlawful behaviors in protests.

Originality/value

This study contributes to the expanding field of research on digital activism by revealing the intricate mechanisms by which social media usage shapes support for unlawful behaviors in protests. It also expands our understanding of explicit unlawful behaviors within protests as a distinct form of political behavior.

Purpose

The esports industry has experienced a dynamic growth. In this context, a significant evolution in the logic of corporate social responsibility (CSR) can be observed, particularly in the digital sphere. By extending Carroll’s three-dimensional model to include corporate digital responsibility (CDR), this paper addresses a key research question: How does CSR evolve and develop in the dynamic digital industry of esports?

Design/methodology/approach

This study employed a qualitative multiple case study research design. It drew on secondary data from 50 professional esports organisations and key players in CSR development in the global esports industry, such as game publishers, pro-teams, pro-athletes, event organisers, and governing bodies. A content analysis of 50 official websites and 72 public annual, CSR, and environmental reports for the financial years ending in 2021 and 2022 was conducted.

Findings

Our empirical findings not only map the territory of esports CSR and CDR but also provide practical insights. These insights are later synthesized to develop an esports CSR/CDR framework that extends Carroll’s three-dimensional model. CSR and CDR domains of esports are theoretically grounded (business performance, responsiveness, social issues, and digital responsibilities), while practical implications for managers and academics are forwarded.

Originality/value

This paper stands out as a pioneering empirical study, filling a significant research gap in the fields of CSR and CDR in esports. To the best of our knowledge, it is the first to illuminate these concepts within the unique ecosystem of esports, thereby contributing to the evolving understanding of CSR in the digital context.

Purpose

There is little empirical evidence on how blockchain affordances may encourage consumers to make sustainable choices. Thus, this paper examines how blockchain affordances affect consumers’ sustainable consumption.

Design/methodology/approach

We focus on three blockchain affordances: transparency, traceability, and immutability in this paper. By integrating the affordance lens and theory of consumption values (TCV), we develop a research model wherein we posit that blockchain affordances influence several consumption values, which then affect consumers’ intention to purchase sustainable products. In the study, we designed a scenario and user interface for a novel blockchain-based app for sustainable consumption in the context of the fashion industry and surveyed 295 European consumers to examine the study’s research model. We then analyzed the collected data using the partial least squares technique.

Findings

The results show that blockchain affordances positively affect consumption values, including efficiency, social impression, trust, and sustainability information clarity. In turn, these values influence the consumers’ purchase intention of sustainable products. Additionally, our post hoc analysis shows that these consumption values fully mediate the effect of blockchain affordances on consumers’ purchase intention, where trust and sustainability information clarity is found to have a higher impact.

Originality/value

Empirical research studies focusing on understanding blockchain’s effect on sustainable consumption values have been limited in prior literature. This study, drawing on the affordance lens, proposes distinct blockchain affordances and empirically validates their impact on consumers’ sustainable purchase intention. By integrating TCV, it highlights the mediating mechanism that drives blockchain’s impact on consumers’ purchase intention. We empirically identify the values that mediate the effects of blockchain affordances on consumers’ purchase intention; further, we discuss implications for research and practice based on the study findings.

Purpose

In this paper, we address the need to study automatic propaganda detection to establish a course of action when faced with such a complex task. Although many isolated tasks have been proposed, a roadmap on how to best approach a new task from the perspective of text formality or the leverage of existing resources has not been explored yet.

Design/methodology/approach

We present a comprehensive study using several datasets on textual propaganda and different techniques to tackle it. We explore diverse collections with varied characteristics and analyze methodologies, from classic machine learning algorithms, to multi-task learning to utilize the available data in such models.

Findings

Our results show that transformer-based approaches are the best option with high-quality collections, and emotionally enriched inputs improve the results for Twitter content. Additionally, MTL achieves the best results in two of the five scenarios we analyzed. Notably, in one of the scenarios, the model achieves an F1 score of 0.78, significantly surpassing the transformer baseline model’s F1 score of 0.68.

Research limitations/implications

After finding a positive impact when leveraging propaganda’s emotional content, we propose further research into exploiting other complex dimensions, such as moral issues or logical reasoning.

Originality/value

Based on our findings, we provide a roadmap for tackling propaganda-related tasks, depending on the types of training data available and the task to solve. This includes the application of MTL, which has yet to be fully exploited in propaganda detection.

Purpose

The current study explores two distinct augmented reality (AR) experiences (hedonic and utilitarian) to determine the drivers of satisfaction and word-of-mouth (WOM). Specifically, this research investigates how different AR characteristics (person–virtual environment (VE) interaction, novelty) impact reality congruence and immersion, which ultimately lead to satisfaction and WOM.

Design/methodology/approach

We tested the proposed model using a US consumer sample (N = 401) by applying partial least squares structural equation modeling (PLS-SEM) to reveal differences across the AR experiences regarding the mediating effects of immersion and reality congruence. Furthermore, we administered PLS-SEM multigroup analysis to identify differences for hedonic and utilitarian AR experiences.

Findings

This study provides important insights into the use of AR to create value-driven consumer experiences and outcome behaviors. Interacting with the virtual environment (VE) enhances immersion for hedonic AR experiences while it leads to higher levels of reality congruence for utilitarian AR experiences. While established relationships such as novelty to immersion continue to be significant, new constructs such as person–VE interaction and reality congruence immerge as stronger influences.

Originality/value

To date, most studies have implemented apps such as IKEA Place and have considered value as one comprehensive construct. However, limited research has examined differences in hedonic and utilitarian AR experiences. The current findings enhance the understanding of utilizing value-driven consumer experiences within the AR context to achieve desirable outcome behaviors.

Purpose

This investigation delves into the elements influencing social networking sites (SNS) use reduction behavior through the lens of the cognitive-affective (CA) model to understand the driving forces behind the decline in SNS use.

Design/methodology/approach

Following the CA model, this research introduces a theoretical framework that integrates the emotions of regret and guilt along with the principles of cognitive dissonance theory. The proposed theoretical framework was subjected to empirical validation, utilizing 453 responses gathered from Instagram users.

Findings

The results suggest that the emotions of regret and guilt have a favorable impact on users’ intention to decrease their SNS usage, with cognitive dissonance exerting an indirect positive influence through these emotions. Additionally, further examination unveils that fear moderates the connection between users’ SNS addiction and the CA components.

Research limitations/implications

Additional cognitive and affective responses may influence the intricate relation between SNS addiction and SNS use reduction intention.

Originality/value

This research contributes to the existing body of knowledge on the information system use lifecycle by examining shifts in user behavior, notably the transition from excessive use to the adoption of use reduction strategies. Furthermore, it sheds light on the intricate role of cognitive dissonance in elucidating the intention to reduce SNS use from the perspective of the CA model. Additionally, this study advances our current understanding of how the fear of negative consequences arising from excessive usage plays a role as a moderating factor in elucidating the underlying internal factors related to reducing SNS usage.

Purpose

This study seeks to establish a new framework for categorizing incivility, differentiating between explicit and implicit forms, and to investigate their respective abilities to proliferate and mobilize conversations, along with behavioral outcomes in various social contexts.

Design/methodology/approach

Employing computational techniques, this research analyzed 10,145 protest-related threads from the HK Golden Forum, a prominent online discussion board in Hong Kong.

Findings

Our analysis revealed divergent effects of explicit and implicit incivility on their diffusion, influences on deliberative discussions, and user participation. Explicit incivility was found to impede deliberative conversations, while implicit incivility tended to provoke more responses. Explicit uncivil expressions encouraged the propagation of incivility but reduced the likelihood of individual involvement. In contrast, implicit incivility had a stronger dampening effect on further uncivil comments and achieved greater thread popularity. The results showed strong associations between uncivil expressions and the contextual norms surrounding social movements.

Originality/value

Theoretically, this research introduced a classification of incivility and underscored the importance of differentiating between implicit and explicit incivility by examining their effects on deliberation and engagement. Although previous studies have extensively covered explicit incivility, this study goes further by analyzing implicit incivility and comparing both forms of uncivil discourse in a less-studied context. Methodologically, the study developed a Cantonese dictionary to differentiate between two types of incivility, providing a practical reference for more nuanced analyses. By revealing how varying movement norms moderate the interplay between deliberative and uncivil expressions, the study drew attention to the highly situational nature of incivility.

Purpose

This research focuses on analyzing the impact of digital transformation (DT) on the green innovation performance of Spanish wineries, as well as the mediating effect of green knowledge sharing (GKS) on this main relationship, as well as the moderating role of top management environmental awareness (TMEA) on the GKS-green innovation performance linkage. In addition, age, size and protected designation of origin (PDO) membership are used to increase the precision of the cause–effect relationships examined.

Design/methodology/approach

The study proposes a conceptual model based on previous studies, which is tested using partial least squares structural equation modeling, with data collected from 196 Spanish wineries between September 2022 and January 2023.

Findings

The results of the research reveal the existence of a positive and significant relationship between the development of DT and green innovation performance of Spanish wineries, as well as the partial mediation of GKS in this link and a positive moderation of TMEA in the GKS-green innovation performance bond.

Practical implications

Winery executives should prioritize aligning DT with TMEA to drive green innovation performance. Additionally, it is recommended that they actively promote GKS within their wineries to enhance sustainability performance and strengthen their competitive positioning in an eco-conscious market.

Originality/value

The originality of the study derives from its pioneering character, as the research enters unexplored terrain by investigating the role of the GKS as a mediator in the relationship between DT and green innovation performance, as no previous research has ventured in this direction.

Purpose

In the 21st century, excessive use of hedonic information systems (HIS) has become commonplace, making HIS use reduction a more viable option for many users than complete discontinuation. Even so, there is no systematic revision on this matter. This systematic literature review aims to examine previous studies on HIS use reduction, identify their limitations and point out future research directions.

Design/methodology/approach

We adhered to the preferred reporting items for systematic reviews and meta-analyses (PRISMA) guidelines, ultimately analyzing 52 papers published between 2010 and 2024, with the majority disseminated after 2021.

Findings

The primary findings indicate a gradual shift from focusing on internet research to exploring social networking sites, with consistent attention on gaming and mobile device usage. Moreover, there is notable diversity in the theoretical foundations of scholarly research in this area as well as in the antecedents, consequences and control factors. Additionally, factors such as awareness, social norms, fatigue, privacy concerns and self-efficacy play the most significant roles in reducing the use of HIS. Finally, this article identifies gaps and opportunities in the field and employs science mapping to uncover the four predominant themes that form the basis of this research domain.

Originality/value

As far as we know, this article marks the inaugural comprehensive systematic review of current research on reducing HIS use, intending to make a dual impact. Initially, the authors meticulously outline HIS use reduction systematically and thoroughly, offering theoretical insights. Second, they delve into potential research areas and contributions concerning this phenomenon to address the gap in understanding the effects of reducing HIS usage on individuals.