Search results

The purpose of this paper is to explore the differences between collaborative and individual search techniques in a scenario-based task focussed on query behavior, cognitive load, search time, and task type about the search.

To help understand the influences on searching for relevant information in pairs or individual contexts, the authors conducted an exploratory user study with 30 participants, using two search tasks completed in a controlled laboratory setting.

On the basis of the analysis, the authors found that collaborative search teams resulted in more queries, more diverse query terms, and more varied query results compared to those working individually. The study results indicated that the cognitive load imposed on the participants did not differ between a collaborative search and an individual search except for the component of performance on the NASA Task Load Index. The results further showed that the total search time was a significant difference on average between the two conditions (i.e. individual information search and collaborative information search) for the second task. And there were significant differences of the mean of total search time between the two tasks for the both conditions. The authors also found that there was no significant relationship between query behavior and the total cognitive load.

The findings from this study have implications for a better understanding of collaborative search interface design, searchers’ cognitive load, query behavior, and general collaborative information search.

This paper explores the emergence and shift in critical theories and problems-of-practice over the last 50 years.

Quipu is an Incan record-keeping system used across the Andes. Using multiple strings of different colors, hundreds of different knots were used to count, record historical events. The underlying idea of Quipu was that the intersection of knots and strings is a way of making memory tangible. I use the image of Quipu as a framework to organize my analytic memories and interpretation of research on school organization across spaces, people and generations.

I explore my own research and that of others who have influenced me, linking the strings of organizational theory to the knots representing changes in the educational environment that motivate research.

The paper is, in part, not only a reflective review of the literature but also a summation of the problems-of-practice that have engaged me and other scholars over a relatively long period of time.

This study aims to examine young social media users’ differential acceptance of data-driven ad personalization depending on the types of personal data used, and to propose and test the Privacy and Trust Equilibrium (PATE) model, a new conceptual model developed to explain the intertwined nature of the competing influences of platform-related factors (privacy concern, trust, and privacy fatigue) on acceptance of ad personalization.

A survey of 440 Instagram users aged 18–24 in Australia was conducted to examine the relationships between the three factors of the PATE model and acceptance of ad personalization utilizing overt vs covert data collection methods.

This study shows the highest level of acceptance for personalization using overtly collected data and the lowest for covert data. The results also support the PATE model, revealing the competing dynamics of how the platform-related factors shape consumers’ acceptance of data-driven ad personalization. Privacy concern discourages Instagram users from accepting personalized ads, while trust encourages them. When the pushing influence of privacy concern and the pulling influence of trust form equilibrium, generating cognitive dissonance, privacy fatigue seems to play a significant role in resolving the dissonance, leading to increased acceptance.

This study advances the understanding of how concurrent push–pull-resigning factors affect young consumers’ acceptance of data-driven ad personalization practices, expanding the scope of research on data-driven personalized advertising and privacy.

Although a fashion subscription offers significant environmental benefits by transforming physical products into shared services, most customers are reluctant to adopt it. This hesitation, exacerbated by poor communication from brands that primarily emphasize its personal benefits, hinders its sustainable growth. This study aims to examine specifically which concerns increase hesitation, and the role of explicitly informing consumers about the service’s environmental benefits in mitigating the impact of consumer concerns on their hesitation.

Data were collected through an online experiment with more than a thousand U.S. adults nationwide and analyzed using a two-step analysis. First, theory-based causal modeling was conducted to examine the effects of consumer concerns on hesitation, accounting for ambivalence as a mediator and informed environmental benefits as a moderator. Second, machine learning was used to cross-validate the findings.

Results show that certain types of consumer concerns increase hesitation, significantly mediated by ambivalence, and confirm that informed environmental benefits mitigate the effects of some concerns on hesitation.

This study contributes to building on the hierarchy of effects theory by exploring negatively nuanced constructs – concerns, ambivalence and hesitation – beyond the traditional constructs representing the cognitive, affective and conative stages of consumer decision-making. Findings provide strategic guidance to brands on how to communicate the new service to consumers. Leveraging theory-based causal modeling with machine learning-based predictive modeling provides a novel methodological approach to explaining and predicting consumer hesitation toward new services.

This research aims to investigate the role of brand types (value brand vs premium brand) in determining review content. Specifically, this research focuses on attribute-based reviews for an innovative product and suggests that consumers of value brands tend to discuss more attributes in their product reviews than those of premium brands. Also, this research suggests that review valence and time have moderating effects on the relationship between brand types and the number of attributes discussed in a review.

This research employed a data set of online consumer reviews (N = 106,980) for wireless earbuds from Amazon.com. It extracted products' attributes from review text using Bigram analysis and measured the number of attributes discussed in a review. It then analyzed the effect of brand types (value brand vs premium brand) on the number of attributes and the moderating effect of review valence and time.

The estimation results of Poisson models reveal that reviews for value brands tend to contain more product attributes than reviews for premium brands. Interestingly, the tendency is stronger among positive (vs negative) reviews, and it decreases over time as more reviews are accumulated.

While existing studies focused on the outcomes of the review content, there was not enough investigation into the determinants of the review content. This study focuses on the number of attributes discussed in a review, a key content characteristic, and provides the first empirical evidence that review content differs by brand types of an innovative product.

The purpose of this paper is to evaluate the differential effects of help-seeking and product-claim direct-to-consumer advertising (DTCA) on consumers’ attitude toward the ad, intention to seek information and intention to see a doctor. This paper also seeks to examine the underlying mechanism of these effects and the moderating role of advertising literacy.

An online experiment was conducted with 130 adults who experienced narcolepsy symptoms and experimental stimuli promoting a fictitious drug for narcolepsy.

Help-seeking DTCA generated lower persuasion knowledge activation than product-claim DTCA, resulting in lower skepticism, more favorable attitude toward the ad and higher behavioral intentions. The effects of ad type were stronger among consumers with higher advertising literacy.

This is the first study that provides a thorough examination of the underlying mechanism of the differential effects of help-seeking vs product-claim DTCA as well as the roles of consumers’ advertising literacy on ad outcomes.

In an era of blurred moral boundaries, brands face “moral dilemma crises”, which are distinguished from traditional crises. Based on expectancy violations theory, this study aims to explore how consumers interpret (inferred goodwill) and evaluate (consumer regret) the precrisis committed brands, reinforced by corporate ability and responsibility (expectancies) during moral dilemma crises and whether self-brand connection moderates this relationship.

The main study used a scenario-based online survey with a purchased beauty brand, analyzed via structural equation modeling and PROCESS macro, to examine the effects of corporate ability and responsibility on regret, mediated by inferred goodwill and moderated by self-brand connection. A validation study with a fictitious brand used an online experimental design, analyzed with t-tests and ANCOVAs.

When corporate ability and corporate responsibility are considered together, corporate ability negatively impacts inferred goodwill (boomerang effect), whereas corporate responsibility positively impacts inferred goodwill (buffering effect). Inferred goodwill acts as a mediator that reduces regret. The negative impact of corporate ability on inferred goodwill and regret becomes stronger among consumers with strong self-brand connections. However, self-brand connection does not moderate the relationship between corporate responsibility and inferred goodwill.

This research extends the application of expectancy violations theory to moral dilemma crises, differentiates between the effects of corporate ability and responsibility, highlights the role of inferred goodwill and regret and explores the moderating effects of self-brand connection, providing tailored insights for brand management.

Citizen trust in police is important in terms of citizen consent to government policies and of police achieving their organizational goals. In the previous study, improvements in police policy, organizational operation and policing activities were developed to clarify which factors influence trust in police and how trust can be improved. This research raises the question, would changes in trust in police have an impact on trust in government? In this paper, this research question is discussed theoretically and the causal relationship analyzed empirically by applying OLS, ordered logistic, 2SLS and logistic regressions.

The basic analysis methods are to apply the OLS and the ordered logistic regression. OLS regression analysis is an analytical method that minimizes an error range of a regression line. The assumptions for OLS are: linearity, independence, equilibrium, extrapolation and multicollinearity issues. These problems were statistically verified and analyzed, in order to confirm the robustness of the analysis results by comparing the results of the ordered logistic regression because of the sequence characteristic of the dependent variable. The data to be used in this study is the Asia Barometer Survey in 2013.

Trust in police and citizen perception of safety are analyzed as important factors to increase trust in the government. The effects of trust in police are more significant than the effects of control variables, and the direction and strength of the results are stable. The effect of trust in police on trust in government is strengthened by the perception of safety (IV). In addition, OLS, ordered logistic regression analysis, which analyzed trust in central government and local government, and logistic regression analysis categorized by trust and distrust show the stability.

This paper has implications in terms of theoretical and empirical analysis of the relationship between trust in police and trust in government. In addition, the impact of perception of safety on trust in police can be provided to police officers, policymakers and governors who are seeking to increase trust in government. This paper is also meaningful in that it is the microscopic research based on the citizens' survey. One of the limitations of macroscopic research is that it does not consider the individual perceptions of citizens.

The results of this paper can confirm the relationship of the virtuous cycle, which is perception of safety – trust in police – trust in government. The police will need to provide security services to improve citizens' perception of safety and make great efforts to create safer communities and society. Trust in police formed through this process can be an important component of trust in government. By making citizens feel safer and achieving trust in police, ultimately, trust in government will be improved.

The police perform one of the essential roles of government and are one of the major components of trust in government, but the police sector has been neglected compared to the roles of the economic and political sectors. These influences of macro factors are too abstract to allow specific policy directions to be suggested. If we consider trust in police, and factors that can improve trust in government, we can suggest practical policy alternatives.

In the context of influencer marketing, this study examines the effects of explicit advertising disclosure on consumers' inference regarding influencers' sincere recommendation intent, and its consequences for consumers' purchase intentions.

In Study 1, participants were randomly assigned to the conditions of explicit advertising disclosure (e.g. #AD, #Sponsored) and subtle advertising disclosure (e.g. #ThankYou), and indicated their inference regarding influencers' recommendation motives and their own purchase intentions. One-way ANOVA analysis reveals the effect of advertising disclosure on consumers' purchase intentions and the PROCESS model indicates the mediating role of consumers' inferences regarding influencers' sincere recommendation intent. In Study 2, we implemented a 2 (explicit vs. subtle advertising disclosure) × 2 (moderate vs. large size of followers) between-subjects design, using a two-way ANOVA analysis. We analyzed the moderated mediation effect via the PROCESS model.

Consumers are less inclined to purchase products when influencers express explicit advertising disclosures, compared to when the advertising disclosures are subtle (Study 1). These negative effects of advertising disclosure can be caused by consumers' inferences regarding influencers' sincere recommendation intent in terms of posting content (Studies 1 and 2). Additionally, the negative effect is particularly prominent when an influencer has a large (vs. moderate) number of followers (Study 2).

By examining (1) the effects of explicit advertising disclosure on consumers' inference regarding influencers' persuasion motives and (2) the role of the influencer's number of followers, this research provides both theoretical and practical insights for understanding how best to implement influencer marketing.