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Enforcing employee compliance with information systems security policies (ISSP) is a herculean task for organizations as security breaches due to non-compliance continue to soar. To improve this situation, researchers have employed fear appeals that are based on protection motivation theory (PMT) to induce compliance behavior. However, extant research on fear appeals has yielded mixed findings. To help explain these mixed findings, the authors contend that efficacy formation is a cognitive process that is impacted by the cognitive load exerted by the design of fear appeal messages.

The study draws on cognitive load theory (CLT) to examine the effects of intrinsic cognitive load, extraneous cognitive load and germane cognitive load on stimulating an individual’s efficacy and coping appraisals. The authors designed a survey to collect data from 359 respondents and tested the model using partial least squares.

The analysis showed significant relationships between cognitive load (intrinsic, extraneous, and germane) and fear, maladaptive rewards, response costs, self-efficacy and response efficacy.

This provides support for the assertion that fear appeals impact the cognitive processes of individuals that then in turn can potentially affect the efficacy of fear and coping appraisals. These findings demonstrate the need to further investigate how individual cognition is impacted by fear appeal design and the resulting effects on compliance intention and behavior.

The purpose of this paper is to assess the effects of presence on users’ information processing in mediated visualizations using immersive virtual reality (VR) and websites, focusing on information understanding and cognitive load. The impact of user interfaces on users’ perception of presence is also tested.

A between-subjects laboratory experiment using two user interfaces – immersive VR and website – is carried out. It is complemented by a self-administered survey on the participants.

The current results indicate that an immersive VR interface improves tourists’ information processing by producing a heightened sense of presence. The results confirm that presence facilitates tourists’ information processing by increasing information understanding and decreasing cognitive load. Finally, a negative relationship between cognitive load and information understanding is obtained.

VR user interfaces are not only visually appealing but also cognitively optimized. Immersive VR devices can be introduced in the specific sale process of cruise trips through both offline channels (physical stores and travel agencies) and online channels to facilitate tourists’ information processing during the prepurchase phase.

The primary contribution lies in the integration of the theory of presence with two influential information processing frameworks, namely, cognitive load theory and cognitive fit theory. This integration provides a holistic perspective on how user interfaces influence consumer information processing in the unique context of cruise tourism, particularly during the stage of a prepurchase information search.

Product presentation plays a critical role in influencing consumers’ purchasing decisions in online shopping. The purpose of this study is to examine the effects of text-image information on online product presentation pages on sales. This study also specifically explores the moderating role of celebrity endorsements in the relationship between text-image presentation information and sales.

This study is based on regression analysis using data sets from the largest online book retailer in China, Dangdang.com.

The results of this study show that there is an inverse U-shaped relationship between word count and book sales. Conversely, image quantity has a positive linear effect on book sales. Furthermore, celebrity endorsements moderate the relationship between word count and sales in two distinct ways. First, the positive effect of increasing word count from low to medium is enlarged by increasing the number of celebrity endorsers. Second, the turning point of the inverse-U relationship between word count and sales rank moves to the right as the number of endorsers increases.

To the best of the authors’ knowledge, this study is among the first to examine the effects of text-image quantity on sales across the full continuum. This study adds understanding on how information load might have distinct consequences on the processing performance of text and images. Furthermore, this study investigates how sales are impacted by the quantity of celebrity endorsers in relation to textual and pictorial information in online shopping contexts, extending our knowledge of the effectiveness of celebrity endorsements.

Cloud computing gives several on-demand infrastructural services by dynamically pooling heterogeneous resources to cater to users’ applications. The task scheduling needs to be done optimally to achieve proficient results in a cloud computing environment. While satisfying the user’s requirements in a cloud environment, scheduling has been proven an NP-hard problem. Therefore, it leaves scope to develop new allocation models for the problem. The aim of the study is to develop load balancing method to maximize the resource utilization in cloud environment.

In this paper, the parallelized task allocation with load balancing (PTAL) hybrid heuristic is proposed for jobs coming from various users. These jobs are allocated on the resources one by one in a parallelized manner as they arrive in the cloud system. The novel algorithm works in three phases: parallelization, task allocation and task reallocation. The proposed model is designed for efficient task allocation, reallocation of resources and adequate load balancing to achieve better quality of service (QoS) results.

The acquired empirical results show that PTAL performs better than other scheduling strategies under various cases for different QoS parameters under study.

The outcome has been examined for the real data set to evaluate it with different state-of-the-art heuristics having comparable objective parameters.

This study constructed an information search process model based on costs and benefits to reflect different information search processes under different decisions from a behavioural economics perspective.

This study used a deductive approach to conceptualise the costs, benefits, and uncertainties of the information search process. Subsequently, we constructed an information search process model based on the costs and benefits using graphical reasoning, loss aversion theory, bounded rationality theory, the satisficing theory of behavioural economics, and the uncertainty changes of information search process.

The model revealed four types of user behaviours in the information search process: (1) avoiding search at the initiation of the search process; (2) exiting in the middle of a search; (3) stopping at the point of satisficing; and (4) continuing the search until experiencing physical discomfort.

The model constructed in this study treats the information search as a process based on costs and benefits with uncertainty. This model integrates information search avoidance and stopping into an information search process model. The model identifies users’ bounded rationality by evaluating ideal and real situations. Moreover, the model explains relative and absolute information overloads and the area beyond the user’s bounded rationality. These findings could help improve users’ information literacy and optimise information systems.

About 70% of all aircraft accidents are caused by human–machine interaction, thus identifying and quantifying performance shaping factors is a significant challenge in the study of human reliability. An information flow field model of human–machine interaction is put forward to help better pinpoint the factors influencing performance and to make up for the lack of a model of information flow and feedback processes in the aircraft cockpit. To enhance the efficacy of the human–machine interaction, this paper aims to examine the important coupling factors in the system using the findings of the simulation.

The performance-shaping factors were retrieved from the model, which was created to thoroughly describe the information flow. The coupling degree between the performance shaping factors was calculated, and simulation and sensitivity analysis are based on system dynamics.

The results show that the efficacy of human–computer interaction is significantly influenced by individual important factors and coupling factors. To decrease the frequency of accidents after seven hours, attention should be paid to these factors.

The novelty of this work lies in proposing a theoretical model of cockpit information flow and using system dynamics to analyse the effect of the factors in the human–machine loop on human–machine efficacy.

The impact of various factors on how TV sports audiences perceive sport event sponsors’ billboards around sports facilities has been the subject of extensive research. Despite numerous factors that impact the effectiveness of sponsor signage at sporting events, there has been a lack of research regarding the language used for such signage around sports facilities’ billboards. Therefore, this study aims to investigate the effects of billboard advertisement language on TV sports audiences’ recognition, recall and search intention to sponsor signage.

This study employed an online experimental design. Participants (n = 925) were recruited from two linguistically different regions: Chinese and English. Participants were randomly assigned to one of two conditions: watching tennis video matches with billboard advertisements presented in either the Roman alphabet exclusively or in a combination of the Roman alphabet and Chinese characters.

This study revealed that although language cannot significantly impact audiences’ unaided recall of a brand, it does have a discernible effect on brand recognition and search intention among audiences. Additionally, people are more likely to search for brands in their native language. Participants from various regions tend to have different recognition rates and search intentions for sport sponsors.

This is the first manuscript examining the use of different languages in relation to audiences’ recognition and recall of sports sponsorship. It provides empirical evidence of the importance of carefully considering the language used in sponsor signage around stadium billboards to optimize the efficacy of sponsorships at sports events.

The flagship traceability technology is increasing transparency, social benefit and economic value particularly after the pandemic. There has not been much research on how information quality in transparency affects information usefulness and trust. The research model is built on the framework of transparency requirements and incorporates the usefulness of traceability information and trust.

Questionnaire survey was used for data collection. To evaluate the research model, structural equation modeling (SEM) was employed. Measurement invariance analysis was used to investigate variations in trust between groups.

The results show that transparency requirements including information relevancy, ease of manipulation and value-added information affect information usefulness. The usefulness of traceability information positively affects trust in producers. Information receivers who believe in the credibility of traceability information have a higher level of trust than those who do not.

The results have important theoretical and practical implications for academia and industry to devise strategies and policies on data-centric traceability systems.

There has been a dramatic rise in the use of online food delivery apps (FDAs) services since the COVID-19 pandemic. Though online FDAs have contributed significantly to the rise in demand for products from the gourmet industry, little is known regarding the factors that inspire customers to order from online FDAs, subsequently influencing customers’ satisfaction. Considering the knowledge gap, this study utilizes the stimulus-organism-response (S-O-R) model to conceptualize the factors: stimuli (eWOM, online reviews and online deals as external stimuli, and late-night craving and convenience as internal stimuli) that determine the organism level (i.e. customers’ inspiration) to subsequently generate the response (i.e. customers’ satisfaction).

We collected the data from 388 users and analyzed it via partial least squares – structural equation modeling (PLS-SEM).

The results reveal that online reviews, deals, late-night food cravings and convenience positively determine customers’ inspiration and satisfaction. In contrast, eWOM fails to impact customers’ inspiration directly and indirectly, affecting customers’ satisfaction through inspiration. Besides, customers’ inspiration positively mediates the relationship between stimuli (e.g. online reviews, online deals, late-night cravings and convenience) and customers’ satisfaction.

This study is novel in that it explores the impact of internal (late-night craving and convenience) and external (eWOM, online reviews and online deals) stimuli on customer inspiration and subsequently predicts customer satisfaction. We also expand prior studies on food delivery apps by studying customer inspiration as a mediating mechanism between internal and external stimuli and customer satisfaction.

In the digital era individuals are overwhelmed by huge amount of readily available information. The information provided at the time of COVID-19 crisis is increasingly available. The purpose of this paper was to investigate individuals’ perceived feelings due to the plethora of information during COVID-19 pandemic in Greece in Spring 2020.

This study was conducted through a Web-based questionnaire survey posted on the Google Forms platform. The questionnaire consisted of closed-ended, seven-point Likert-scale questions. The data collected were subjected to a principal component analysis. The retained principal components (PCs) were subjected to statistical analysis between genders and among age groups and professional status with the nonparametric criteria Mann–Whitney U and Kruskal–Wallis.

Responses by 776 individuals were obtained. Seventeen original variables from the questionnaire were summarized into three PCs that explained the 71.7% of total variance: “affective disorders,” “uncertainty issues and inaccurate information worries” and “satisfaction and optimism.” Participants partly agree that the received amount of information on the disease caused them feelings of uncertainty about the future and worries about relatives’ lives, but also satisfaction with developments in the country. Females seem to experience stronger perceived feelings of “affective disorders” (p < 0.001) and reported higher degree of agreement about “uncertainty issues and inaccurate information worries.”

The recorded feelings caused by the volume of available information may have forced people accept the necessary precautionary behavioral changes that had contributed to the Greek success in preventing spread of the disease in Spring 2020.