Search results

This conceptual chapter aims to understand the role of artificial intelligence (AI) in value co-creation phenomena in a healthcare service ecosystem, through a literature review and the definition of a conceptual framework. AI, as an operant resource, can stimulate a completely patient-centered, adaptive and resilient healthcare system, and governance models in healthcare based on data-driven decision-making (DDDM), ensuring faster choices, more timely diagnosis and more personalized treatment paths. However, the full implementation of AI in healthcare is inhibited by some frictions, mainly related to the risk that the AI black box may generate an inadequate automatic decision, also due to the quality of data used, often partial and unstructured given the reluctance to share them by patients concerned by privacy threats. The co-design (multi-part and multi-level) of a predictive decision model based on the functional transparency of the AI algorithm would allow for augmented decision as result of an effective human–machine interaction. Healthcare actors could thus make decisions using the information detected by the software (based on clear cause-and-effect correlations and modifiable variables in case of mistakes), integrated with their professional knowledge. This would also help to strengthen the patient’s perception of the decision’s reliability and accuracy and the safety of the tool (factors that can affect his/her trust). AI may be considered as a driver for value co-creation in healthcare, thanks to transparency. It would allow the promotion of collaborative behaviors involving actors by generating new institutions and new resource integration practices among them.

This chapter discussed the implementation of the digital twin (DT) idea into construction. Through the adoption of DTs into construction practices, construction professionals have been able to project an identical virtual concept of sections of the project execution right from the onset. In the introduction and discussing of its origin, the DT was further assessed about its applications in construction beneficial in enhancing project delivery. Other sections like barriers, drivers and benefits of the DT in construction summarised what this chapter represents in terms of discussing the new involvement of digital tools in construction execution, management and sustainability.

The author argues and explains that the indigenous Eastern epistemological frame of yin-yang balancing can be taken as a unique system of thinking toward a meta-perspective. It is not only deeply rooted in the indigenous Eastern culture traditions, but also bears salient global implications, especially in the domain of paradox management. The purpose and contribution of this chapter are twofold: (1) to explain the unique and salient features of yin-yang balancing (the “either/and” system to reframe paradox into duality as partially conflicting and partially complementary, both spatially and temporarily) as compared with the Western logic systems (the “either/or” and “both/or” or “both/and” systems); and (2) to explore the global implications of the “either/and” system for future paradox research, including the three unique themes of overlap between opposites with the “seed” of one opposite inside the other; threshold from the contingent balance between partial separation and partial integration in line with specific contexts through three operating mechanisms, and knot for the special role of third-party to shift paradox from a dyadic level to a triadic and even a multiplex level.

Cultural and creative industries (CCIs) have been argued to play an important role in achieving the sustainable development goals (SDGs). However, the mechanisms through which CCIs contribute to the attainment of SDGs remain underexplored. In this study, the authors adopt a network perspective to examine how the structure of a local CCI network relates to its local sustainability performance. By examining a database of 210,182 networked firms out of 1.34 million CCI firms across 294 cities in China, the authors conclude that both the scale and the density of a local CCI network improve the city’s performance in terms of attaining SDGs 8–12. The authors discuss the implications of these findings and propose future research avenues in international business.

Anthropomorphism in Artificial Intelligence (AI)-powered devices is being used increasingly frequently in consumer-facing situations (e.g., AI Assistants such as Alexa, virtual agents in websites, call/chat bots, etc.), and therefore, it is essential to understand anthropomorphism in AI both to understand consequences for consumers and to optimize firms' product development and marketing. Extant literature is fragmented across several domains and is limited in the marketing domain. In this review, we aim to bring together the insights from different fields and develop a parsimonious conceptual framework to guide future research in fields of marketing and consumer behavior.

We conduct a review of empirical articles published until November 2021 in Financial Times Top 50 (FT50) journals as well as in 41 additional journals selected across several disciplinary domains: computer science, robotics, psychology, marketing, and consumer behavior.

Based on literature review and synthesis, we propose a three-step guiding framework for future research and practice on AI anthropomorphism.

Our proposed conceptual framework informs marketing and consumer behavior domains with findings accumulated in other research domains, offers important directions for future research, and provides a parsimonious guide for marketing managers to optimally utilize anthropomorphism in AI to the benefit of both firms and consumers.

We contribute to the emerging literature on anthropomorphism in AI in three ways. First, we expedite the information flow between disciplines by integrating insights from different fields of inquiry. Second, based on our synthesis of literature, we offer a conceptual framework to organize the outcomes of AI anthropomorphism in a tidy and concise manner. Third, based on our review and conceptual framework, we offer key directions to guide future research endeavors.

Purpose – The author introduces the Eastern philosophy of wisdom, especially its epistemology of Yin-Yang Balancing as the Eastern cognitive frame, to shed light on the debates over the distinction and integration between research and practice as well as between qualitative and quantitative methods so as to solve the problems of relevance-rigor gap as well as complexity-simplicity gap. The author also applies the frame of Yin-Yang Balancing to the development of a novel method of case study.

Methodology/Approach – This is a conceptual article.

Central theme – The Eastern philosophy of wisdom is better at an open-minded exploration of open-ended issues by emphasizing relevance and complexity, while the Western philosophy of science is better at a closed-minded exploitation of close-ended issues by emphasizing rigor and simplicity. A geocentric integration of both Eastern and Western philosophies is needed.

Research and practical implications – Management research is far behind the need for theoretical insights into practical solutions largely due to the increasing gaps between relevance and rigor as well as between complex problems and simple solutions. The root cause of the two gaps lies in the overreliance on the Western philosophy of science, so a new light can be found in the Eastern philosophy of wisdom, and the ultimate solution is a geocentric integration of Eastern and Western philosophies. A novel method of case study can be built by applying the Eastern philosophy.

Originality/Value – The author highlights the urgent needs for the Eastern philosophy of wisdom and its integration with the Western philosophy of science toward a geocentric meta-paradigm. As a specific application of the geocentric meta-paradigm, the author proposes a novel method of case study called Yin-Yang Method.

Carbon emission is one of the most important problems of today. In this framework, it is important for countries to take the necessary actions to solve this problem. Energy use is one of the most important causes of carbon emissions. Choosing fossil fuels in this process increases the carbon emission problem. Therefore, it is understood that countries should be more sensitive about energy types. In this context, renewable energy (RE) sources are recommended by experts. However, due to some problems of these energy types, it does not seem possible to meet all energy needs from these sources. It is thought that nuclear energy will produce a permanent solution to the carbon emission problem. In this context, it is recommended that the use of nuclear energy be put on the agenda by countries.

Purpose: Risk is a multifaceted concept, and its identification requires complex approaches that are often misunderstood. The consequence is that decisions are based on limited perception rather than the full value and meaning of what risk is, as a result, the way it is being tackled is incorrect. The individuals are often limited in their perceptions and ideas and do not embrace the full multifaceted nature of risk. Regulators and individuals want to follow norms and checklists or overuse models, simulations, and templates, thereby reducing responsibility for decision-making. At the same time, the wider use of technology and rules reduces the critical thinking of individuals. We advance the automation process by building robots that follow protocols and forget about the part of risk assessment that cannot be programed. Therefore, with this study, the objective of this study was to discover how people define risk, the influencing factors of risk perception and how they behave toward this perception. The authors also determine how the perception differed with age, gender, marital status, education level and region. The novelty of the research is related to individual risk perception during COVID-19, as this is a new and unknown phenomenon. Methodology: The research is based on the analysis of the self-administered purposely designed questionnaires we distributed across different social media platforms between February and June 2020 in Europe and in some cases was carried out as a interview over communication platforms such as “Skype,” “Zoom” and “Microsoft Teams.” The questionnaire was divided into four parts: Section 1 was designed to collect demographic information from the participants; Section 2 included risk definition statements obtained from literature and a preliminary discussion with peers; Section 3 included risk behavior statements; and Section 4 included statements on risk perception experiences. A five-point Likert Scale was provided, and participants were required to answer along a scale of “1” for “Strongly Agree” to “5” for “Strongly Disagree.” Participants also had the option to elaborate further and provide additional comments in an open-ended box provided at the end of the section. 466 valid responses were received. Thematic analysis was carried out to analyze the interviews and the open-ended questions, while the questionnaire responses were analyzed using various quantitative methods on IBM SPSS (version 23). Findings: The results of the analysis indicate that individuals evaluate the risk before making a decision and view risk as both a loss and opportunity. The study identifies nine factors influencing risk perception. Nevertheless, it must be emphasized that we can continue to develop models and rules, but as long as the risk is not understood, we will never achieve anything.

Due to the increasing size and complexity of construction projects, construction engineering and management involves the coordination of many complex and dynamic processes and relies on the analysis of uncertain, imprecise and incomplete information, including subjective and linguistically expressed information. Various modelling and computing techniques have been used by construction researchers and applied to practical construction problems in order to overcome these challenges, including fuzzy hybrid techniques. Fuzzy hybrid techniques combine the human-like reasoning capabilities of fuzzy logic with the capabilities of other techniques, such as optimization, machine learning, multi-criteria decision-making (MCDM) and simulation, to capitalise on their strengths and overcome their limitations. Based on a review of construction literature, this chapter identifies the most common types of fuzzy hybrid techniques applied to construction problems and reviews selected papers in each category of fuzzy hybrid technique to illustrate their capabilities for addressing construction challenges. Finally, this chapter discusses areas for future development of fuzzy hybrid techniques that will increase their capabilities for solving construction-related problems. The contributions of this chapter are threefold: (1) the limitations of some standard techniques for solving construction problems are discussed, as are the ways that fuzzy methods have been hybridized with these techniques in order to address their limitations; (2) a review of existing applications of fuzzy hybrid techniques in construction is provided in order to illustrate the capabilities of these techniques for solving a variety of construction problems and (3) potential improvements in each category of fuzzy hybrid technique in construction are provided, as areas for future research.

Despite the implementation of the “land for social security” scheme to compensate for land expropriation in rural China, the distribution of social security benefits varies widely both between and within provinces. Why do local officials offer pension compensation in addition to cash payments to some landless farmers and not to others? Using in-depth interviews and survey data, I find that certain attributes of collective demands may signal a threat to social stability, prompting government concessions in the form of welfare benefits. Particularly, among the dispossessed farmers who have engaged in petitions, those who petitioned to higher-level officials were found to be more likely to receive pension benefits than those who have participated in claim-making with a bigger crowd. I propose that in the administrative hierarchy system of cadre evaluation, local officials may perceive public visits and petitions to higher levels of government as more threatening to their career prospects. Moreover, the dilemma between compensation and stability maintenance may also enable local officials to condone strategic targeting rather than collective gathering.