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People who suffer from phobias try to avoid a specific object or feared situation by creating a great obstacle that causes serious consequences in their daily life; the most effective way to deal with a phobia is through exposure therapy, which according to one of the most important principles of psychology states that to overcome a fear you have to face it. The purpose of this paper is to develop a mobile application based on augmented reality (AR) for the treatment of spider phobia (Araneae).

The application development methodology was divided into two phases: design where sketches were made according to functional requirements, and the client server model was used for user queries and the development phase where the modules for the information of the phobia; and visualization of the arachnid in different morphological forms was implemented through the development tools.

The findings of this study, in this sense, state that it was possible to overcome the phobia in an essential way by ceasing to perceive harmless things as dangerous, helping them to manage stress and keep them under control.

Allowing to face their fears in support of existing therapeutic processes through images with progressively AR, being an innovative and accessible treatment from an economic, technological and professional point of view.

Innovative firms have rapidly developed artificial intelligence (AI) capabilities into their service ecosystems, essentially changing perceptions of what is service quality and service delivery in their respective industries. Nonetheless, the issues surrounding AI services remain relatively unknown. The purpose for this paper is to offer a digital servitization framework for understanding how AI services impact value perceptions, consumer engagement and firm performance measures. The authors use the financial service ecosystem to explore this topic.

The authors explore relevant literature on digital servitization, service-dominant logic and AI/disruptive innovation. Next, a conceptual framework, organized by AI-Service Exchange Antecedents, Context of AI Usage and Digital Servitization Consequences, is developed. The authors conceptualize consequences for consumers and firms.

The main findings suggest that the linkages between consumers, financial institutions and fintech companies with AI usage in a service ecosystem should be identified; how value is created among multiple SD Logic-AI network actors should be analyzed; and the effects of AI-consumer interactions (lower-level and higher levels of engagement) on firm performance measures should be explored.

The conceptual framework identifies gaps in the literature and suggests research questions for future studies.

This paper may assist practitioners with the development of AI-enabled banking activities that involve direct consumer engagement.

To the authors’ best knowledge, this research agenda is the first comprehensive framework for understanding value co-creation in the context of AI in financial services, linking antecedents, usage and consequences.

The main objective of this study is to find out how food handlers in catering establishments perceive ensuring food safety and which problems they meet along the way.

Using a qualitative approach, ten food handlers in Slovenian catering facilities were included in the case study. A semi-structured approach was applied to provide a deeper insight into food safety barriers perceived by respondents. Participants first read short fictitious newspaper news about a foodborne disease at a tourist farm, which served as a starting point.

The results demonstrate barriers which most often originate in a lack of knowledge (e.g. improper food safety training, incorrect food safety knowledge testing, knowledge and maintaining of CCPs), shortage of food hygiene skills (e.g. handwashing, food defrosting) and weak work satisfaction (e.g. insufficient payment, poor interpersonal relationships and weak motivation). Food safety knowledge and consequently training methods were found to be the biggest barrier for the efficiency of the HACCP system in practice.

Due to the small sample, the results cannot be generalised to the entire population of food handlers in Slovenia.

The results indicate weaknesses in food safety knowledge among professional food handlers.

The study provides a deeper insight into implicit opinions of ten food handlers in catering facilities regarding barriers in providing food safety, their knowledge and behaviour in their work with food.

This paper aims to identify the role of internet of things (IoT) in water supply chain management and helps to understand its future path from the junction of computer science and resource management.

The current research was studied through bibliometric review and content analysis, and various contributors and linkages were found. Also, the possible directions and implications of the field were analyzed.

The paper’s key findings include the role of modern computer science in water resource management through sensor technology, big data analytics, IoT, machine learning and cloud computing. This, in turn, helps in understanding future implications of IoT resource management.

A more extensive database can add up to more combinations of linkages and ideas about the future direction. The implications and understanding gained by the research can be used by governments and firms dealing with water management of smart cities. It can also help find ways for optimizing water resources using IoT and modern-day computer science.

This study is one of the very few investigations that highlighted IoT’s role in water supply management. Thus, this study helps to assess the scope and the trend of the case area.

In order to achieve competitive advantage over the physical marketplace, the e-retailers are insisted on endowing with lenient return policies. The piece-wise returns-and-reordering process incurs excessive buffering and unwanted logistics costs which raises overall fulfillment charges. The objective of this study is to re-design e-retail distribution policy by providing temporal storage at logistics service provides' (LSP) location. The impact of recurrent returns on pricing and profit margins are also investigated over time continuum.

A framework is developed to reduce the non-value added (NVA) storage and distribution efforts by providing collaborative buffering between LSP and e-retailer. The knapsack based buffering approach is tested and compared with traditional e-retail distribution practices. The revenue sharing concept is mathematically modelled and implemented in GAMS, which finally validated through multiple return scenarios.

The proposed model outperforms the existing one under all scenarios with different configuration settings of re-ordering, profit margins, and buffer time windows. The distribution cost is found, linearly related to the necessary product buffering space. The findings help to re-design sustainable return policies for individual products so that maximum customer value can be yield with minimum costs.

This study helps to determine the NVA efforts incurred while storing and delivering multi-time returned products to ensure desired service levels. The revenue sharing model provides pricing strategies for e-retail practitioners deciding which product should store in what quantity for how much time at the shipping agency location so that it fulfils the re-ordering at least waiting and sufficient buffering.

The proposed model extends the role of LPSs as temporary buffer providers to reduce returns-and-reordering fulfilment efforts in the e-retail network. This Collaborative framework offers an opportunity to amend the distribution contracts and policies time by time that enhances e-retailer's performance and customer satisfaction.