Aslib Journal of Information Management最新文献

Purpose

Research on the impact of the engagement of online medical teams (OMTs) on patient evaluation, for example, satisfaction, remains insufficient. This study attempts to recognize the underlying mechanism of how OMTs’ engagement influences patient satisfaction by adopting social support as the mediator. This study also scrutinizes the moderating effects of the transactive memory system (TMS) on the link between OMTs’ engagement and social support.

Design/methodology/approach

We utilized a linear model that had fixed effects controlled at the team level for analysis. A bootstrapping approach using 5,000 samples was employed to test the mediation effect.

Findings

Our results reveal that OMTs’ engagement improves informational and emotional support, thereby promoting patient satisfaction. Specialization and credibility strengthen the impact of OMTs’ engagement on informational and emotional support. Simultaneously, coordination has an insignificant influence on the link between OMTs’ engagement and social support.

Originality/value

This study contributes to the literature on OMTs, social support, and TMS, providing insights into patients’ perceptions of OMTs’ engagement during online team consultation. This study also generates several implications for the practice of online health communities and OMTs.

Purpose

This study proposes a theoretical model to explain user intention to continue engaging with Social Commerce (SC) from a habit perspective. The research uses social impact theory, user personal traits, and SC quality to explain how user habits are formed in SC, leading to continued usage.

Design/methodology/approach

The study collected data from 868 Indonesian respondents using a cross-sectional field design. SEM analysis confirmed the proposed theoretical model, calculating direct, indirect, and moderating effects.

Findings

The results showed that the social aspect is the dominant construct influencing users’ habit of using SC. Further, the outcome indicates that habit significantly predicts Continuity usage. Profoundly, subjective norms are the most significant predictors of habit, followed by self-efficacy, content quality, and herd behavior. Meanwhile, Trust and Social Support only indirectly affect Habit through self-efficacy and content quality, respectively, as mediators. Additionally, the moderating effect analysis revealed that age and gender play a role in habit formation.

Originality/value

This study specifically explores the factors affecting the development of habits in SC usage, leading to repeated behaviors. This area has not been thoroughly examined in previous research. Therefore, this study seeks to address this gap by investigating how habits are formed through social interactions on SC platforms. Understanding habit formation provides an alternative way of comprehending the continued use of SC, as it is considered a significant factor that leads to continued intention.

Purpose

This paper proposes that the trade-off between medical benefits and privacy concerns among mHealth users extends to their disclosure intentions, manifested as individuals simultaneously holding intentions to tend to disclose in the near future and to reduce disclosure in the distant future. Consequently, this paper aims to explore the privacy decision-making process of mHealth users from the perspective of a dual trade-off.

Design/methodology/approach

This paper constructs the model using the privacy calculus theory and the antecedent-privacy concern-outcome framework. It employs the construal level theory to evaluate the impact of privacy calculus on two types of disclosure intentions. The study empirically tests the model using a data sample of 386 mHealth users.

Findings

The results indicate that perceived benefits positively affect both near-future and distant-future disclosure intentions. In contrast, perceived risks just negatively affect distant-future disclosure intention. Additionally, perceived benefits, near-future and distant-future disclosure intentions positively affect disclosure behavior. The findings also reveal that privacy management perception positively affects perceived benefits. Personalized services and privacy invasion experience positively affect perceived benefits and risks, while trust negatively affects perceived risks.

Originality/value

This paper considers the trade-off in the privacy calculus phase as the first trade-off. On this basis, this trade-off will extend to the disclosure intention. The individuals’ two times of trade-offs between privacy concerns and medical benefits constitute the dual trade-off perspective. This paper first uses this perspective to explore the privacy decision-making process of mHealth users. This paper employs the construal level theory to effectively evaluate the impact of privacy calculus on both disclosure intentions in mHealth, extending the theory’s applicability. Moreover, we introduce antecedents of privacy calculus from the perspectives of platform, society, and individuals, enhancing the study’s realism. The research findings provide a basis for mHealth platforms to better cater to users’ privacy needs.

Purpose

Online shopping has recently been evolving more toward the subject area of collaborative online shopping (COS), and customer satisfaction is one of the key determinants for the success of COS. In this study, we investigate the effect of product type and gender and their interaction with customer satisfaction through user involvement in a collaborative online shopping context.

Design/methodology/approach

We developed a lab experiment with a mixed two-by-two factorial design to test the proposed research model. We chose gender (male versus female) as the between-subjects factor and product type (utilitarian product versus hedonic product) as the within-subjects factor.

Findings

The obtained results indicate that collaborative shopping may require group members to be more involved for a hedonic product than a utilitarian product. When collaboratively shopping for utilitarian products, male groups tend to show a higher level of involvement than female groups. In contrast, female groups show a higher level of involvement than male groups when collaboratively shopping for hedonic products. Furthermore, our results indicate that greater involvement in COS may lead to higher satisfaction.

Social implications

Websites that sell hedonic products should first adopt the design elements that support COS. Meanwhile, online sellers should be aware that the gender gap still exists as online shopping evolves toward social online shopping. In addition, COS websites should provide more design elements (e.g. co-browsing, avatar embodiment, video chat and voting tools) to stimulate user involvement.

Originality/value

In this paper, we employ the theory of consumption values, which decomposes COS value into the utilitarian and hedonic dimensions, as a theoretical foundation to investigate the effect of product type and gender together as well as their interactions in the COS context. The obtained findings may provide various insights and empirical evidence to improve the understanding of how to target male and female customers across different product types in the COS context.

Purpose

This study aims to develop an associative text analyzer (ATA) to support users in quickly grasping and interpreting the content of large amounts of text through text association recommendations, facilitating the identification of the contextual relationships between people, events, organization and locations for digital humanities. Additionally, by providing text summaries, the tool allows users to link between distant and close readings, thereby enabling more efficient exploration of related texts.

Design/methodology/approach

To verify the effectiveness of this tool in supporting exploration of historical texts, this study uses a counterbalanced design to compare the use of the digital humanities platform for Mr. Lo Chia-Lun’s Writings (DHP-LCLW) with and without the ATA to assist in exploring different aspects of text. The study investigated whether there were significant differences in effectiveness for exploring textual contexts and technological acceptance as well as used semi-structured in-depth interviews to understand the research participants’ viewpoints and experiences with the ATA.

Findings

The results of the experiment revealed that the effectiveness of text exploration using the DHP-LCLW with and without the ATA varied significantly depending on the topic of the text being explored. The DHP-LCLW with the ATA was found to be more suitable for exploring historical texts, while the DHP-LCLW without the ATA was more suitable for exploring educational texts. The DHP-LCLW with the DHP-LCLW was found to be significantly more useful in terms of perceived usefulness than the DHP-LCLW without the ATA, indicating that the research participants believed the ATA was more effective in helping them efficiently grasp the related texts and topics during text exploration.

Practical implications

The study’s practical implications lie in the development of an ATA for digital humanities, offering a valuable tool for efficiently exploring historical texts. The ATA enhances users’ ability to grasp and interpret large volumes of text, facilitating contextual relationship identification. Its practical utility is evident in the improved effectiveness of text exploration, particularly for historical content, as indicated by users’ perceived usefulness.

Originality/value

This study proposes an ATA for digital humanities, enhancing text exploration by offering association recommendations and efficient linking between distant and close readings. The study contributes by providing a specialized tool and demonstrating its perceived usefulness in facilitating efficient exploration of related texts in digital humanities.

Purpose

This study aimed to investigate the perception and acceptance of artificial intelligence (AI) technologies among the Israeli workforce. More specifically, it examined how age, income, and education level are related to employees’ fears of being replaced by AI technologies and their willingness to adopt these technologies in their personal and professional lives.

Design/methodology/approach

Data were collected by surveying 502 adults from the Jewish population of Israel in February 2023 via an Internet panel. Stratified sampling was performed to ensure a representative cross-section of the population.

Findings

Contrary to the expectations from a technologically advanced society, the findings indicated varied levels of enthusiasm and apprehension. Age was found to be negatively correlated with the fear of being replaced by AI technologies and the willingness to adopt these technologies. Income was negatively correlated with the fear of being replaced by AI technologies. Education level was negatively correlated with the fear of being replaced and positively correlated with the willingness to adopt.

Practical implications

The findings provide valuable guidance for policymakers, educators, and business leaders in shaping AI integration strategies. They emphasize the need for targeted educational and policy initiatives to bridge the gap in AI readiness.

Originality/value

This study offers unique insights into the perceptions toward AI in a leading technological hub, contributing to the understanding of how advanced societies are adapting to rapid AI integration.

Purpose

The main purpose of the study is to investigate the influence of live streaming participation on purchase intention, specifically focusing on how fear of missing out (FOMO) impacts live streaming purchase intention and its subsequent effect on inaction inertia. Additionally, the study aims to ex-amine the indirect influence of FOMO on the relationship between live streaming participation and purchase intention.

Design/methodology/approach

The research employs SEM to assess the properties of measures. The investigation consists of four main constructs: live streaming shopping participation, fear of missing out, live streaming purchase intention, and inaction inertia. Live streaming shopping participation is further divided into two dimensions: live streaming immersion and live streaming social presence, with the latter encompassing social presence and telepresence.

Findings

The study reveals the significant role of FOMO in livestream shopping. Viewers' fear of missing out on information and products presented in livestreams results in heightened attention to these streams and an elevated willingness to purchase. This finding emphasizes the impact of FOMO emotions in driving consumer action and purchasing intent, particularly in situations of product scarcity.

Originality/value

The study uniquely explores FOMO as a factor disrupting consumer inertia, influencing decisive purchasing. It shows that FOMO enhances perceived value of products, altering consumer behavior in live streaming and e-commerce, thus providing a novel perspective on FOMO’s extended impact.

Purpose

What’s the flow path of knowledge sharing among members in online health community (OHC)? Exploration of this issue could shed light on mechanisms behind user knowledge sharing and interaction on OHC, but few studies have focused on it. This study is going to address this research gap and to provide richer support for subsequent knowledge management related research.

Design/methodology/approach

Based on the core-periphery effect, this study combines content analysis and social network analysis to portray the paths of different types of social support for core and periphery users from social support perspective.

Findings

Results reveal that the core users follow a pattern of high-stage and low-stage users with distinct needs, while the path pattern of the edge user group mainly consists support from high-stage to low-stage users. Results show that there is apparent distinction between the paths of emotional and informational support between core and periphery users. For core users, emotional support flows from lower stage users to higher stage users, while informational support follows the opposite direction. For periphery users, the paths of emotional support and informational support are identical, with both flowing from higher stage users to lower stage users.

Originality/value

This study explores the flow paths of information support and emotional support for core and periphery users, and discovers the different patterns of these two types of users, providing theoretical guidance for platform administrators to manage users more efficiently and ensure the sustainable development of the platform.

Purpose

The paper analyses the role and impact of Twitter in Spanish political communication, specifically focusing on how the platform influences the visibility and relevance of political candidates' messages during various election campaigns and across various political dimensions – government vs. opposition, traditional vs. populist, and left-wing vs. right-wing.

Design/methodology/approach

The study employs a longitudinal quantitative analysis perspective regarding the number and impact of messages posted by the main candidates in the six general elections held in Spain during the period 2011–2023. The tweets were automatically collected through the Twitter API for 54 days, between the call for elections and voting. The equalisation versus normalisation framework regarding social media is used.

Findings

The findings showed that the dissemination of messages on Twitter exhibited a skewed distribution characterized by notable differences in the unequal relevance of tweets between candidates on the left-right and traditional-populist axes, especially among the tweets with the highest impact. Tweets from opposition and populist candidates presented a greater level of relevance than those from government and conventional candidates. No discernible differences were identified along the ideological spectrum, indicating a high degree of cross-partisan engagement on social media. Findings indicate that opposition and populist candidates are strategically utilising Twitter, challenging the notion of normalisation and emphasising the equalising potential of social networks.

Originality/value

The study offers a long-term view of political communication, which is relatively rare in social media research, often focused on shorter time frames or single election cycles. The multidimensional comparison provides nuanced insights into how different political identities and affiliations are manifested and engaged with on social media.

Purpose

This conceptual paper aims to demonstrate a holistic, multifaceted framework of interest development, information search, and knowledge construction (ISK) on children’s diverse information search behaviors.

Design/methodology/approach

By reviewing previous literature on children’s interest development, online information seeking and search, and knowledge construction, we propose the ISK framework. Then, we provide example case studies with pilot analyses using qualitative approaches (e.g. video-based interaction analysis, thematic analysis) showing how the framework can be applied to different types of authentic information-seeking situations for children.

Findings

The ISK framework demonstrates the multifaceted interplays between children’s information behavior and their cognitive and affective development. This framework was supported using previous studies and pilot empirical applications. We also included potential research questions that could be addressed using the framework.

Originality/value

Our paper provides a conceptual grounding to an in-depth, multidimensional understanding of children’s information behavior, which have been limitedly addressed in previous studies. Considering that children begin to search from their early stage of development and their search behaviors are tightly associated with other developmental states, our paper highlights the importance of investigating children’s search and information seeking and provides theoretical and empirical implications.