Factors Affecting Prosocial Sharing Health-related Information on Social Media During a Health Crisis

During a health crisis, prosocial sharing of health-related information (HRI) on social media can help to deliver early warnings about new diseases, raise social awareness, exchange support, and spread health policies. Current literature has mainly focused on the factors of general sharing of HRI under normal conditions but neglected those motivations under the health crisis context. This research aims to investigate factors that influence online users’ prosocial sharing of HRI during a health crisis. To obtain the objective, this study developed a dual helping-protecting motivation model from the fear appeal model and social exchange theory. The partial least squares analysis, carried out on the surveyed data of 326 participants, revealed that prosocial sharing intention is affected by protecting factors (i.e., sharing efficacy, response efficacy) and helping factors (i.e., reciprocity expectation). Additionally, both perceived health risk and perceived information quality risk were found to influence the sharing intention via motivational factors

Remote Working Burnout: Empirical Study from TOE and Technostress Model

Work stress and burnout negatively impact the individual and companies. Remote working exacerbates these issues due to the lack of company support and social interactions. Yet, research on identifying factors contributing to stress and burnout in remote workspaces and differentiating the components of stress and burnout in this context is limited. This work presents and empirically evaluates a conceptual framework, based on the Technology – Organization – Environment framework and the technostress theory, which aims to address these gaps. In particular, the model proposed here distinguishes between technostress, work stress, and burnout. Future work to examine the model will use a survey instrument for data gathering, as well as confirmatory factor analysis and partial least squares for analysis

Content sampling, household informedness, and the consumption of digital information goods

National Research Foundation (NRF) Singapore under International Research Centres in Singapore Funding Initiativ

Experience Me! The Impact of Content Sampling Strategies on the Marketing of Digital Entertainment Goods

Singapore National Research Foundation under International Research Centre @ Singapore Funding Initiativ

Explainable Information Security: Development of a Construct and Instrument

Despite the increasing efforts to encourage information security (InfoSec) compliance, employees’ refusal to follow and adopt InfoSec remains a challenge for organisations. Advancements in the behavioural InfoSec field have recently highlighted the importance of developing usable and employeecentric InfoSec that can motivate InfoSec compliance more effectively. In this research, we conceptualise the theoretical structure for a new concept called explainable InfoSec and develop a research instrument for collecting data about this concept. Data was then collected from 724 office workers via an online survey. Exploratory and confirmatory factor analyses were performed to validate the theoretical structure of the explainable InfoSec construct, and we performed structural equation modelling to examine the construct’s impact on intention to comply with organisational InfoSec. The validated theoretical structure of explainable InfoSec consists of two dimensions, fairness and transparency, and the construct was found to positively influence compliance intention

Digital Kaizen: An Approach for Conducting Large-Scale Digital Transformation Projects

While digital transformation creates opportunities across all industries, many businesses still do not know how to embark on this journey and hesitate to commit resources to such an unclear initiative. By using the interpretive case study method, this paper investigates how Digital Kaizen–a philosophy that focuses on making continuous digital improvements–could guide large-scale digital transformation activities in incremental steps. Our findings show that the adoption of Digital Kaizen has urged the investigated organization to continuously address cross-functional issues that are aligned with their strategic business goals, through implementing incremental digital changes that improve business processes and people engagement. Subsequently, these activities lead to sustainable and scalable digital transformation success that re-defines the organization’s value creation processes and identity. This research suggests a new strategy for conducting large-scale digital transformation, by integrating Kaizen philosophy into digital transformation practices

Exploring Value Co-Destruction Process in Customer Interactions with AI-Powered Mobile Applications

Background: Mobile applications have emerged as important touchpoints for addressing service requests and optimizing human resources. Within the service industry, the integration of artificial intelligence (AI) into these applications has enabled the inference of product demand, provision of personalized service offers, and enhancement of overall firm value. Customers now engage with these apps to stay informed, seek guidance, and make purchases. It is important to recognize that the interactive and human-like qualities of AI can either foster the co-creation of value with customers or potentially lead to the co-destruction of customer value. Although prior research has examined the process of value co-creation, the present study aims to investigate the underlying factors contributing to the value co-destruction process, specifically within AI-powered mobile applications. Method: Our research employs topic modelling and content analysis to examine the value co-destruction process that occurs when customers engage with AI apps. We analyze 7,608 negative reviews obtained from eleven AI apps available on Google Play and App Store AI apps. Results: Our findings reveal six distinct types of value - utilitarian, hedonic, symbolic, social, epistemic, and economic value - that can be co-destroyed during the process. System failure, self-threat and privacy violation are some contributing factors to this value co-destruction process. These values change over time and vary depending on the type of app. Conclusion: Theoretically, our findings extend the concept of value co-destruction in the context of AI apps. We also offer practical recommendations for designing an AI app in a more service-friendly way