Computers in human behavior reports最新文献

Employee reviews on platforms like Glassdoor and Indeed significantly influence organizational attractiveness of millions of prospective applicants. To deepen our understanding of this phenomenon, we examined the effects of employee review characteristics on perceived helpfulness – a proximal indicator of adopting shared information. Specifically, we investigated the relationship between the sentiment of organic Glassdoor reviews (ranging from positive to negative attitudes) and their helpfulness ratings. Additionally, we explored the moderating roles of overall corporate ratings and employee status in shaping the impact of employee reviews.

Employing automated text analysis with Latent Dirichlet Allocation (LDA) and Structural Topic Modeling, we further delved into employee review content to extract the topics discussed and how their attributes (e.g., the extent to which the topic is discussed) influence perceived helpfulness. Drawing insights from an extensive analysis of 24,687 Glassdoor reviews, our findings revealed that negative reviews of lower rated organizations tend to receive higher helpfulness ratings, particularly when provided by former employees. The topics identified through LDA encompassed both instrumental and symbolic aspects of organizations, with their extent of discussion uniquely interacting with sentiment. Our study sheds light on the profound impact of employee satisfaction on the perceived helpfulness of online reviews. By presenting a comprehensive analysis of online reviews, this research offers valuable insights for businesses to enhance their organizational attractiveness and better understand the dynamics of online reputation management.

This study aims to explore whether social media information overload affects medical staff's information avoidance behavior and the extent to which time pressure mediates and job performance moderates this relationship. We analyze survey data on 586 medical staff from 11 hospitals in China using bootstrapping. The results demonstrate that medical staff's social media information overload has a significant positive effect on their information avoidance behavior and that time pressure plays a partial mediating role. Additionally, job performance moderates the impact of social media information overload on information avoidance. Further, high-performing medical staff's social media information overload has a greater impact on their information avoidance behavior than that of medical staff with low job performance. This study satisfies the call for an in-depth investigation of social media information avoidance by uncovering the relationship between social media information overload and the job performance of medical staff. The findings not only shed light on intention from an informational overload perspective but also provide fresh insights for practitioners on how to strategically manage information overload. Medical staff are suggested to be aware of both the positive and the negative effects of social media on their work and life as well as secure the time to deal with social media information to benefit from the convenience that social media brings to their work and life spheres without spending too much time on social media, which negatively affects working time. Healthcare institution managers should avoid sending too much information to high-performing medical staff, as information overload may cause them to be more inclined to “hide from” this information in reality.

This study examined the usefulness and challenges of blended learning during the COVID-19 pandemic in Ghana: the mediating role of human resource factors. The study used the explanatory study design from the quantitative approach to gather data from 138 out of 285 postgraduate facilitators on the distance mode. The data collection instrument was self-administered questionnaires and analysis of the data was done with mean and standard deviation as well as Parital Least Square-Structural Equation Modeling. The study found that even though online facilitation was rated higher by facilitators as compared to face-to-face interaction, the facilitators indicated the need for blended learning to minimise challenges associated with either dedicated online facilitation or face-to-face interaction. It was also found that there was a significant relationship between challenges with face-to-face interaction and prospects with online learning, challenges with online learning and prospects for face-to-face interaction. Both remuneration and retrenchment significantly mediated the relationship between challenges with online and blended facilitations. While training significantly mediated the relationship between prospects of online and blended facilitations; work relations failed to achieve a significant mediation influence on the relationship between the prospect of online and blended facilitations. It was recommended that management and human resource managers of postgraduate educational institutions should pay attention to three main human resource factors such as remunerations, training, and retrenchment among facilitators in ensuring smooth running and progress with blended learning within the context of a developing economy.

The mobilization of academic research via online platforms presents a troubling paradox. Digital-first publications offer the opportunity for scholars to reach a wider audience, yet this same online vehicle for knowledge mobilization opens scholars to the risk of online abuse. Furthermore, the concept of online abuse is often misunderstood or dismissed by post-secondary institution administrators. The aim of this research is to understand why faculty members who experience online abuse do not report the such abuse to their administration, even though there is indication that support from administration is needed to manage the problem. Drawing from a series of semi-structured interviews and focus groups, this research examines the reasons why faculty members decide not to report their experiences of online abuse to their various academic administrators. A total of 11 faculty members in academic positions located North America agreed to participate in the research. We used a combination of semi-structured and narrative interview questions to understand participants’ experiences of online abuse. The data was coded using the constant comparative approach to identify emergent themes (Glaser & strauss, 1967), a nd guided by the research questions. The Theory of Planned Behavior was used to schematize the attitudes, social norms, and perceived behavioral controls that dissuade reporting of online abuse, and provide institutional recommendations that may encourage reporting and improve support for targeted faculty members. This study contributes to theory and practice by offering that when academic administrators foster a culture of care, faculty would be encouraged to report incidences of online abuse.

This paper presents the results of a large-scale survey (n = 1092) that explored the attitudes and opinions of European Citizens regarding the adoption of socially assistive robots (SARs) for healthcare in the EU. We examined which functions citizens would support and which they consider a threat to trustworthy SARs. We additionally explored the relationships between the perceived vulnerability of the care recipient and acceptance, between attitudes towards robots and gender, age, religious beliefs, and previous experience interacting with SARs, and whether the degree of responsibility taken in performing a role affects acceptance. We also compared attitudes towards robots across European regions. The functions most negatively rated were triage and banning entrance. Privacy raised particular concern. We also found an inverse correlation between the perceived vulnerability of care recipients and acceptance. Additionally, we found a positive relationship between religious beliefs and fear of robots, a positive relationship between previous robot experience and attitudes towards them, and that females have less positive attitudes towards robots than males. Also, the degree of responsibility in a role determined acceptance. Involving citizens in the decisions concerning SARs deployment is important to build a society that people feel is fair in terms of robot coexistence. The results of the survey intend to provide evidence-based support to policies in this area.

Computers have gone from being a workplace tool to something we carry in our pockets. This explosion of technological growth has been supported by HCI researchers and product designers as they strive to predict and meet user needs by studying user intentions toward, and experiences with, technology to improve usability. However, psychological research shows that device usage does not come without a psychological cost to the user, an impact apparently under-considered in HCI research. We surveyed users (n = 211) on their feelings about their experiences with different aspects and types of technology when the technology performed contrary to expectations. We found that technology that was frustrating to use or performed below expectations led to users reporting more negative feelings towards their use of the technology. Findings indicate that the user experience could be improved by considering user frustration and feelings towards technology in the design process.

The advent of artificial intelligence (AI) has triggered a significant evolution in the sphere of social media. This research is designed to explore the influence of AI technologies in user experience under Social Media Marketing examining augmented reality, virtual influencers, and chatbots in Jordanian Millennials. The associations were assessed with the importance analysis in the data using Smart PLS 4 and a combination of direct hypothesis testing and mediation analysis. With that being said, our results suggest a non-negligible effect of AI on the social media user journey. In addition, we find that chatbots, virtual influencers, and augmented reality can effectively mitigate the role of user experience in user attitudes toward AI. Realizations like these contribute to the epistemology of the area and provide actionable input for researchers and professionals.

In the digital age, information problem solving (IPS) competence is essential for professionals to use online information effectively. Despite its importance, starting professionals often struggle with processing and presenting information, which are critical phases during authentic IPS tasks. Therefore, higher education institutions are tasked with preparing students to navigate these complex phases of IPS after graduation. However, most previous studies have focused on the “search” and “select” phases of simple, short-duration IPS tasks, which do not reflect the complex information challenges faced in professional settings. To address this gap, this study aimed to identify and categorize the strategies higher education students currently use to process and present information for a semester-long authentic professional task. A thematic analysis of cued retrospective reporting sessions was conducted with 24 senior students while they created a website for professional practice. Students demonstrated 49 IPS strategies, which were categorized into twelve IPS activities across three generic activity phases: “process,” “synthesize,” and “create.” Within these phases, three patterns of co-occurring strategies were observed: reproductive, arranging, and elaborative. Based on these findings, existing IPS process models were empirically refined. The observed variation in strategies highlights the importance of building on students' strengths when teaching IPS. Teaching them to adapt the strategies to various authentic task contexts could help enhance students’ IPS competence and strategic flexibility in real-world settings. Future research should explore the applicability of the updated IPS model across different authentic task contexts to refine instructional approaches further.