Artificial intelligence (AI) is revolutionizing healthcare by introducing novel treatments and applications, thereby transforming the sector. However, the complexity, ambiguity, and inherent risks associated with AI can create tensions for healthcare workers that may result in stress, anxiety, and discomfort when they make decisions. These tensions are paradoxical in nature as they may present conflicting demands that can persist over time and develop into seemingly irrational situations. Understanding how these paradoxical tensions affect healthcare workers' responses to AI is crucial in addressing their concerns. This study investigates the role of paradoxical tensions and the paradoxical mindset in shaping healthcare workers' responses to AI. The study examines how these two factors influence individuals' intention to adopt AI systems and tools and evaluates the users' satisfaction with them. Using a quantitative survey design, data were collected from 357 healthcare workers. The results, based on regression analysis, indicate that paradoxical tensions positively influence both individuals' intention to adopt AI systems and tools and their satisfaction with the current use of AI systems and tools. The results also indicate that the paradoxical mindset positively mediates these relationships. © 2024 The Authors

Background: Information and Communication Technology (ICT) adoption across the agricultural sector has grown and changed rapidly over the past years, which may contribute significantly to addressing global challenges. However, ICT adoption is facing technology-integrating challenges in business operations and business model innovation. Thus, to develop and strengthen a sustainable, competitive agricultural sector and to achieve profitable development, it is important to increase the knowledge of ICTs and their impacts, especially when it comes to animal welfare. Moreover, it is important to empower developed business models and governance of innovation ecosystems to release the full potential of ICT and its widespread adoption. 

Purpose: This paper aims to explore the literature on ICT and business model innovation in the Agricultural sector. The research aims to stimulate the use of ICT in the agricultural sector, recognizing the role of business model innovation in releasing the full potential of ICT and promoting the widespread adoption of ICT, and address the sustainable aspect of animal welfare.

Method: This study combines a systematic literature review approach with bibliometric analysis. To develop the Bibliometric Literature Review, Scopus and Web of Science databases were used together with software: Rayyan and VOSviewer. Rayyan was used to manage the collaboration between the researcher team during the review process. Then, the maps were created by VOSviewer. We conduct a science mapping to examine the relationships between research constituents. The techniques for science mapping include citation analysis, co-citation analysis, bibliographic coupling, co-word analysis, and co-authorship analysis.

Findings: The study shows an increasing trend of year-on-year publications, authors' performance, publication journals, associated institutions, and research-driving countries, along with key insights from co-citation network analysis. Different perspectives showed the multidisciplinary nature of the topic. It is a fragmented literature regarding the authors and countries' publications.  The results map and discuss the main issues that are covered in ICT fields and business models in agriculture, thereby providing suggestions for future research and policy. The bibliometric analysis reveals the descriptive statistics on this field and the main themes through the authors' keywords.

Research limitations/implications: The research explores a topic in the early stage to define key strands of literature. Limitations arise from the sources used to develop our analysis and how the topic appears as a frontier innovation.

Originality/value: Originality is the integration of literature strands related to ICT and business model innovation in the Agricultural sector, highlighting its multidisciplinary nature to provide a holistic understanding of the themes. 

This Bibliometric Literature Review provides a supporting output that can help both research and policies that aim to boost innovation in the agricultural sector. The paper contributes to the knowledge by organizing, rationalizing, and extending the extant literature with valuable insights about the current status of research; most cited articles, authors, journals, keywords, and contributing communities using various bibliometric techniques.

Refugee entrepreneurs can make a significant contribution to sustainable growth and development in host countries. However, comprehensive comparative studies of refugee entrepreneurial motivations are scarce, particularly in the absence of a theoretical framework on entrepreneurship motivation that is suitable for such contexts. This is a research topic that is increasingly of interest to scholars and policymakers working with refugee workforce integration, particularly in light of forecasted increases in global forced displacement over the next years. This paper tests and extends newly constructed entrepreneurship motivation measures, comparing person-related factors and the perceptions of environmental-related factors for Syrian refugee entrepreneurs in Sweden and Germany. The results indicate that their motivations differ between the two countries with respect to market conditions, the educational environment, dissatisfaction, and know-how. However, refugee entrepreneurs in both countries have similar levels of entrepreneurial ambition and attitude and are motivated by similar perceptions of social environments and cultural norms. This paper identifies how entrepreneurship motivation differences could be considered by governments to better shape and inform host countries' programs and policies to improve refugee entrepreneurship and subsequent integration. Syrian refugees in Germany and Sweden differ in their motivation to pursue entrepreneurship, as evidenced by our comparative study, emphasizing the role of country context in shaping refugees' perception of environmental factors that influence their entrepreneurial motivation. We find that Germany-based refugee entrepreneurs are more motivated by market structures and educational offerings, have more know-how, and were less prone to negative motivation resulting from experiencing dissatisfaction (e.g. due to discrimination or lack of opportunities) compared with Sweden-based refugee entrepreneurs. The results emphasize the importance of policy reforms and initiatives that provide financial, administrative, and legal assistance to refugee entrepreneurs as they start and establish their businesses, as well as specialized entrepreneurship training and education programs. We call for future research on inter-country evaluations of institutional differences and migrant integration programs as well as trans-border exchange of lessons learned and success stories, particularly in-light of prognosed increases in global forced displacement over the next years. © The Author(s) 2023

This report is based on case studies from Sweden, indicating that the local context can be developed into a competitive advantage when using sustainable and digital solutions. The study also draws on findings from a consumer study, targeting sustainable shopping habits and interest towards new ways of purchasing food in the future. Results indicate that new sustainable business models can provide sustainable values for both farmers as well as end-consumers, but the traditional value chain need to be evaluated on value adding aspects and traceability along the process. Additionally, the end-consumer indicate an interest to purchase food directly from the farmer, which is considered as an important aspect for better animal health and welfare. This is an important aspect to include when doing business model innovation in the agricultural sector.

The integration of Digital Therapeutics (DTx) is profoundly transforming patients’ care management. Original combinations of IoT medical devices and related mobile applications resulting in DTx, may boost patients’ engagement and adherence to treatment regimens, resulting as ‘intelligent’ assistants in patients’ health recovery. In this paper we conducted a study among a sample of 507 participants by setting a prototype of DTx able to monitor respiratory-related diseases as a setting. Results demonstrated that individuals’ perceived product intelligence of such digital tools led to higher intention to use, through the effect of their Behavioural Activation System, that is, the psychological mechanism influencing their motivation towards engaging in rewarding and goal-directed behaviours. Moreover, individuals’ perceived anthropomorphism of these tools, in terms of individuals’ tendency attribute human-like characteristics or emotions to non-human entities such in these technological tools, increase such effect. © 2024 Informa UK Limited, trading as Taylor & Francis Group.

A growing and aging population provides challenges for the healthcare sector, generating higher healthcare costs, and ineffective work process that results in long patient queues and problems with recruiting and retaining healthcare professionals. Artificial intelligence (AI) is considered as one means to provide efficient processes for healthcare professionals, e.g. in diagnostics and treatment recommendations. However, research has shown that there are many obstacles to successfully introducing and using AI applications in healthcare, especially by focusing on the organizational level. However, individual healthcare professionals have an important role to play in the transition towards information driven healthcare. 

Therefore, we address the healthcare professionals' perception of the usefulness and value of AI applications, as well as challenges and considerations of this new technology. 

The study is based on an exploratory approach with more than 350 healthcare professionals in Sweden, carried out beginning of 2024. The questionnaire includes perceptions of the use of AI and identifies potential challenges that need to be addressed. The respondents include doctors (92%) and nurses (8%). The sample consists of answers from 221 (62%) male and 136 (38%) female respondents. Most of the respondents work in public hospitals (54%) and health centers (20% public and 14% private). Several AI applications are used by healthcare professionals, spanning from administrative work reduction to new insights in the analysis of complex cases.

Thematic analysis is conducted to create a model of perception of usefulness, values and problems (barriers). The analysis includes a stepwise analysis to identify patterns and themes.

The  results from the project provide insights into how the introduction of AI applications in healthcare changes the work of healthcare professionals and the perceived challenges that need to be addressed to improve their work by using AI. To some extent, implementation and use is based on healthcare professionals’ interest in using new advanced technology but for others the decision to adopt AI is primarily based on formal decisions within the organization. Respondents that have been using AI for at least six months, indicate AI supports decision making, with the main benefit consisting of a more effective and faster work process, while other respondents do not perceive any changes. A surprising result is that healthcare professionals have identified the possibility to test and evaluate new ideas and more complex cases. One interpretation is that AI has made the workload easier, which may allow for more innovative work. Another interpretation is that their experience-based knowledge is augmented by AI, and this makes it possible for them to handle more complex cases.   However, others experience a learning paradox – challenging to find time and learn how to use the technology, while at the same time adopting by testing AI applications.

Conclusions drawn from the ongoing study provide insights on the transformation phase towards implementing and using AI applications in healthcare.

Purpose: The purpose of this systematic literature review is to understand what the phenomenon of uncaptured value is, identify where it is operationalized and explore how it can be transformed into value opportunities. Uncaptured value in sustainable business model innovation can lead to new value creation which, in turn, can promote practices of innovation, sustainability and inclusiveness. Design/methodology/approach: A systematic literature review was conducted using eight databases to identify 47 articles using the phrase sustainable business model innovation along with the terms value uncaptured, value surplus, value absence, value missed and value destroyed. Findings: The findings have identified that uncaptured value is reoccurring in sustainable business model innovation but is left as the missing link. This paper outlines the novelties of uncaptured value in sustainable business model innovation into a framework that can be used for future research, which is also discussed, concluded and suggested. Originality/value: A framework for the continued research on uncaptured value in sustainable business model innovation with an emphasis on influences, operationalization and practices has been created to further the research frontier and capture the missing link. © 2024, Senad Osmanovic, Henrik Barth and Pia Ulvenblad.

Despite the advances in modern medicine, the use of data-driven technologies (DDTs) to prevent surgical site infections (SSIs) remains a major challenge. Scholars recognise that data management is the next frontier in infection prevention, but many aspects related to the benefits and advantages of using DDTs to mitigate SSI risk factors remain unclear and underexplored in the literature. This study explores how DDTs enable value creation in the prevention of SSIs. This study follows a systematic literature review approach and the PRISMA statement to analyse peer-reviewed articles from seven databases. Fifty-nine articles were included in the review and were analysed through a descriptive and a thematic analysis. The findings suggest a growing interest in DDTs in SSI prevention in the last 5 years, and that machine learning and smartphone applications are widely used in SSI prevention. DDTs are mainly applied to prevent SSIs in clean and clean-contaminated surgeries and often used to manage patient-related data in the postoperative stage. DDTs enable the creation of nine categories of value that are classified in four dimensions: cost/sacrifice, functional/instrumental, experiential/hedonic, and symbolic/expressive. This study offers a unique and systematic overview of the value creation aspects enabled by DDT applications in SSI prevention and suggests that additional research is needed in four areas: value co-creation and product-service systems, DDTs in contaminated and dirty surgeries, data legitimation and explainability, and data-driven interventions. © 2023, The Author(s).

Digital manufacturing can produce new and advanced tools more rapidly and at lower cost than traditional manufacturing. This new technology means manufacturers need to develop innovative business models adapted to this change in the manufacturing landscape. With digital manufacturing, companies have both an opportunity and a challenge. They can enter new markets where large-scale production provides competitive advantage. They can enter niche markets that become more attractive as old boundaries and structures lose relevance. Yet their additive manufactured components must meet the same standards set for conventional manufactured components. However, we know little about how companies manage this change as they make the transition from traditional manufacturing to digital manufacturing. This chapter presents two co-creation digital manufacturing projects between university researchers and Swedish companies. In each project, the goal was to develop sustainable and efficient digital production methods that offer tailor-made product solutions. Various technical methods used in the projects are described as materials, and prototypes are developed, tested, and analyzed.