Much prior literature has discussed bioethics from a Confucian perspective in biomedical research, but little has applied Confucianism in examining ethics in social and behavioral…
Abstract
Purpose
Much prior literature has discussed bioethics from a Confucian perspective in biomedical research, but little has applied Confucianism in examining ethics in social and behavioral research involving human subjects. This paper aims to reexamine the Belmont principles in social and behavioral research from a Confucian perspective to discuss their applicability and limitations and propose implications for revising or extending them potentially in the future.
Design/methodology/approach
A comparison is conducted on bioethics and social and behavioral research ethics. Afterward, a critical analysis is conducted on the Belmont principles of respect for persons, beneficence and justice from a Confucian perspective regarding their application in social and behavioral research.
Findings
From a Confucian perspective, the Belmont principles are necessary but may not be sufficient to cover the width and depth of ethical issues in social and behavioral research, such as those in crowd work-based research. This paper proposes that ethical guidelines for social and behavioral research may need to be updated from the Belmont principles adopting or incorporating certain Confucian ethics.
Originality/value
Social and behavioral research ethics have been relatively marginal compared to the bioethics deliberation in the existing literature. Unlike Beauchamp and Childress’s continued efforts in refining ethical guidelines for biomedical research specifically, little similar work has been done in this area since the Belmont report’s publication in 1979. This paper sheds light on building more refined and specific ethical guidelines to navigate the ever-growing numbers and diversities of nonmedical research topics, methodologies and contexts.
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Purpose: This piece delves into the transformative potential of artificial intelligence (AI) in the healthcare field within the emerging realm of Industry 5.0, highlighting a…
Abstract
Purpose: This piece delves into the transformative potential of artificial intelligence (AI) in the healthcare field within the emerging realm of Industry 5.0, highlighting a people-focused and eco-friendly approach.
Need for the study: While Industry 4.0 set the foundation for digitization in healthcare, it frequently overlooked the human factor and concerns about sustainability. Industry 5.0 tackles these deficiencies by giving importance to human welfare, efficiency in resource usage, and societal consequences alongside technological progress.
Methodology: This research utilizes a survey of existing written works on Industry 5.0, AI in healthcare, and associated empowering technologies. It also leans on insights from recent investigations and business actions to pinpoint current patterns and future paths.
Findings: This chapter showcases how AI-driven solutions can greatly alter various facets of healthcare. Some of these healthcare facets encompass personalized medicine and treatment, intelligent diagnostics and decision support, robot-supported surgery and care, and enhanced availability and affordability.
Practical applications: This piece offers valuable perspectives for healthcare investors. These investors cover healthcare suppliers, technology creators, rule creators, and patients. By embracing the standards of Industry 5.0, the merging of AI into healthcare brings significant potential for crafting a more competent, sustainable, and people-centered healthcare network that benefits both patients and society as a complete unit. This research investigates the stance, viewpoints, and potential impacts of machine intelligence (MI) in health with an emphasis on Industry 5.0.
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Abstract
Purpose
This study quantitatively investigates the impacts of digital and learning orientations on supply chain resilience (SCR) and firm performance (FP), aiming to fill the gaps in understanding their specific impacts in the context of Industry 4.0 developments and supply chain disruptions.
Design/methodology/approach
This study utilized survey techniques and structural equation modelling (SEM) to gather and analyse data through a questionnaire based on a seven-point Likert scale. Hypotheses were formulated based on an extensive literature review and tested using Amos software.
Findings
The study confirms SCR’s significant impact on FP, aligning with existing research on resilience’s role in organizational competitiveness. This study uncovers the nuanced impacts of digital and learning orientations on SCR and FP. Internal digital orientation (DOI) positively impacts SCR, while external digital orientation (DOE) does not. Specific dimensions of learning orientation – shared vision (LOS), open-mindedness (LOO) and intraorganizational knowledge sharing (LOI) – enhance SCR, while commitment to learning (LOC) does not. SCR mediates the relationship between DOI and FP but not between DOE and FP.
Research limitations/implications
This research focuses on digital and learning orientations, recommending that future studies investigate other strategic orientations and examine the specific contributions of various digital technologies to SCR across diverse contexts.
Practical implications
The empirical findings emphasize the significance of developing internal digital capabilities and specific learning orientations to enhance SCR and FP, aligning these initiatives with resilience strategies.
Originality/value
This study advances knowledge by distinguishing the impacts of internal and external digital orientations and specific learning dimensions on SCR and FP, offering nuanced insights and empirical validation.
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Xiaochen Yue, Mary Kang and Yanming Zhang
Manufacturing firms must strengthen their supply chain resilience to survive in turbulent business environments. This study explores how artificial intelligence (AI) can be…
Abstract
Purpose
Manufacturing firms must strengthen their supply chain resilience to survive in turbulent business environments. This study explores how artificial intelligence (AI) can be leveraged to enhance supply chain resilience.
Design/methodology/approach
Drawing on organizational information processing theory, the research investigates the impact of AI usage on proactive and reactive supply chain resilience by fostering referent power in the context of demand dynamism. The study analyzes survey data from 285 Chinese manufacturing firms using structural equation modeling and regression analysis.
Findings
The results indicate that AI usage can enhance both proactive and reactive supply chain resilience. Referent power only mediates the relationship between AI usage and reactive supply chain resilience. Furthermore, this mediating effect is stronger under high-level demand dynamism.
Originality/value
This study highlights the value of AI usage in strengthening supply chain resilience and uncovers its underlying mechanisms. Theoretical and practical implications are discussed.
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The purpose of this study is to examine the effect of trust on user adoption of artificial intelligence-generated content (AIGC) based on the stimulus–organism–response.
Abstract
Purpose
The purpose of this study is to examine the effect of trust on user adoption of artificial intelligence-generated content (AIGC) based on the stimulus–organism–response.
Design/methodology/approach
The authors conducted an online survey in China, which is a highly competitive AI market, and obtained 504 valid responses. Both structural equation modelling and fuzzy-set qualitative comparative analysis (fsQCA) were used to conduct data analysis.
Findings
The results indicated that perceived intelligence, perceived transparency and knowledge hallucination influence cognitive trust in platform, whereas perceived empathy influences affective trust in platform. Both cognitive trust and affective trust in platform lead to trust in AIGC. Algorithm bias negatively moderates the effect of cognitive trust in platform on trust in AIGC. The fsQCA identified three configurations leading to adoption intention.
Research limitations/implications
The main limitation is that more factors such as culture need to be included to examine their possible effects on trust. The implication is that generative AI platforms need to improve the intelligence, transparency and empathy, and mitigate knowledge hallucination to engender users’ trust in AIGC and facilitate their adoption.
Originality/value
Existing research has mainly used technology adoption theories such as unified theory of acceptance and use of technology to examine AIGC user behaviour and has seldom examined user trust development in the AIGC context. This research tries to fill the gap by disclosing the mechanism underlying AIGC user trust formation.
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Elvira Anna Graziano, Flaminia Musella and Gerardo Petroccione
The objective of this study is to investigate the impact of the COVID-19 pandemic on the consumer payment behavior in Italy by correlating financial literacy with digital payment…
Abstract
Purpose
The objective of this study is to investigate the impact of the COVID-19 pandemic on the consumer payment behavior in Italy by correlating financial literacy with digital payment awareness, examining media anxiety and financial security, and including a gender analysis.
Design/methodology/approach
Consumers’ attitudes toward cashless payments were investigated using an online survey conducted from November 2021 to February 2022 on a sample of 836 Italian citizens by considering the behavioral characteristics and aspects of financial literacy. Structural equation modeling (SEM) was used to test the hypotheses and to determine whether the model was invariant by gender.
Findings
The analysis showed that the fear of contracting COVID-19 and the level of financial literacy had a direct influence on the payment behavior of Italians, which was completely different in its weighting. Fear due to the spread of news regarding the pandemic in the media indirectly influenced consumers’ noncash attitude. The preliminary results of the gender multigroup analysis showed that cashless payment was the same in the male and female subpopulations.
Originality/value
This research is noteworthy because of its interconnected examination. It examined the effects of the COVID-19 pandemic on people’s payment choices, assessed their knowledge, and considered the influence of media-induced anxiety. By combining these factors, the study offered an analysis from a gender perspective, providing understanding of how financial behaviors were shaped during the pandemic.
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Zhong Du, Xiang Li and Zhi-Ping Fan
In the practice of live streaming e-commerce, the consumer demand is usually uncertain, and the inventory and prices can be decided by brand owners or streamers. To this end, this…
Abstract
Purpose
In the practice of live streaming e-commerce, the consumer demand is usually uncertain, and the inventory and prices can be decided by brand owners or streamers. To this end, this study examines the inventory and pricing decisions of the brand owner and streamer in a live streaming e-commerce supply chain under demand uncertainty.
Design/methodology/approach
In this study, four scenarios are considered, i.e. the brand owner determines the inventory and price (Scenario BB), the brand owner determines the inventory and the streamer determines the price (Scenario BS), the streamer determines the inventory and the brand owner determines the price (Scenario SB), and the streamer determines the inventory and price (Scenario SS).
Findings
The results show that the inventory and prices, as well as the profits of the brand owner and streamer increase with the consumer sensitivity to streamer’s sales effort level under the four scenarios. The inventory (price) is the highest under Scenario SS (SB), while that is the lowest under Scenario BB (BS). In addition, when the sensitivity is low, the brand owner’s profit is the highest under Scenario BB, otherwise, the profit is the highest under Scenario SS. Regardless of the sensitivity, the streamer’s profit is always the highest under Scenario SS.
Originality/value
Few studies focused on the inventory and pricing decisions of brand owners and streamers in live streaming e-commerce supply chains under demand uncertainty, while this work bridges the research gap. This study can provide theoretical basis and decision support for brand owners and streamers.
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Fengwen Zhi, Zhaoqi Peng, Jiaqi Chen and MengFan Zhao
This paper aims to develop a demand scale from the perspective of scientific data providers and to analyze their demands, offering references for research and practice in…
Abstract
Purpose
This paper aims to develop a demand scale from the perspective of scientific data providers and to analyze their demands, offering references for research and practice in scientific data sharing.
Design/methodology/approach
The initial scale was designed based on a literature review. A total of 479 valid responses from data providers were collected via questionnaires. Exploratory and confirmatory factor analyses were conducted using SPSS21.0 and AMOS23.0, followed by a discussion on practical implications.
Findings
Providers exhibit significant demands in all dimensions, with data security being the most urgent, followed by data management platforms and self-value realization. Additionally, the prioritization of providers’ demands varies according to their intentions to share.
Originality/value
The study developed a scale of providers’ demands in scientific data sharing that comprises 21 items across five dimensions: data security, data management platform, self-value realization, social and benefits return and analyzed the demand degree of providers for the above items. Finally, the paper proposes strategies from stakeholders’ perspectives to meet providers’ demands and facilitate scientific data sharing.
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Changfei Nie, Wen Luo, Zhi Chen and Yuan Feng
Based on strategic choice theory, this study examines the impact and mechanisms of intellectual property demonstration city (IPDC) policy in China on corporate ESG performance.
Abstract
Purpose
Based on strategic choice theory, this study examines the impact and mechanisms of intellectual property demonstration city (IPDC) policy in China on corporate ESG performance.
Design/methodology/approach
This study uses China’s A-share listed companies’ data from 2009 to 2019 and conducts a difference-in-differences (DID) to explore the causal relationship between IPDC policy and corporate ESG performance.
Findings
Baseline regression results indicate that the IPDC policy can significantly improve corporate ESG performance. Mechanism tests reveal that the IPDC policy expands firm green technology innovation, enhances firm human capital investment and increases government innovation subsidies, thereby promoting corporate ESG performance. Moderating effect results show that the promotion impact on corporate ESG performance of the IPDC policy is diminished by government fiscal pressure. Heterogeneity analyses indicate that the IPDC policy has a stronger impact on corporate ESG performance in key cities, firms in high-tech industries, firms with a higher reliance on intellectual property protection (IPP) and state-owned enterprises (SOEs).
Originality/value
The findings enrich the theoretical research on the influencing factors of corporate ESG performance and provide practical references to strengthen IPP and implement a more thorough intellectual property development strategy.
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Guozhang Xu, Wanming Chen, Yongyuan Ma and Huanhuan Ma
Drawing on the tenets of institutional theory, the purpose of this study is to examine the impact of Confucianism on technology for social good, while also considering the…
Abstract
Purpose
Drawing on the tenets of institutional theory, the purpose of this study is to examine the impact of Confucianism on technology for social good, while also considering the moderating influence of extrinsic informal institutions (foreign culture) and intrinsic formal institutions (property rights).
Design/methodology/approach
This study constructs a comprehensive database comprising 9,759 firm-year observations in China by using a sample of Chinese A-share listed firms from 2016 to 2020. Subsequently, the hypotheses are examined and confirmed, with the validity of the results being upheld even after conducting endogenous and robustness tests.
Findings
The findings of this study offer robust and consistent evidence supporting the notion that Confucianism positively affects technology for social good through both incentive effect and normative effect. Moreover, this positive influence is particularly prominent in organizations with limited exposure to foreign culture and in nonstate-owned enterprises.
Originality/value
The findings contribute to the literature by fostering a deep understanding of technology for social good and Confucianism research, and further provide a nuanced picture of the role of foreign culture and property rights in the process of technology for social good in China.