Cheche Duan, Yicheng Zhou, Yuanqing Cai, Wei Gong, Chunzhen Zhao and Jian Ai
This paper investigates the relationship between human capital, economic freedom, governance performance, and economic growth and whether institutional factors such as governance…
Abstract
Purpose
This paper investigates the relationship between human capital, economic freedom, governance performance, and economic growth and whether institutional factors such as governance performance and economic freedom mediate the association between human capital and economic growth.
Design/methodology/approach
In this study, the authors apply the panel data regression method to verify five hypotheses and check the robustness of the empirical findings from four aspects (chow test, panel unit root test, granger test and generalized method of moments) based on the data covering China, India, Russia, Brazil and South Africa from 2000 to 2018.
Findings
After multiple tests with mixed methods, the empirical results show that the relationship between human capital and economic growth is not linear but inverted U-shaped. Furthermore, human capital has a positive effect on economic growth only in a certain period of time, and governance performance positively moderates the effect of human capital on economic growth in BRICS.
Originality/value
First, the impact of human capital on economic growth is not linear but an inverted U-shaped and governance performance moderates the effect of human capital on economic growth in BRICS. The study and research model enhances the authors’ insights on the advantage and challenges of human capital in the future. Second, the proposed multi-methods in the study accurately forecast economic growth which partially solves endogenous problems because of reverse causality.
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Miltiadis D. Lytras, Andreea Claudia Serban, Afnan Alkhaldi, Tahani Aldosemani and Sawsan Malik
Digital transformation (DT) has become a top priority for higher education (HE), driven by technological advances such as artificial intelligence (AI), artificial general…
Abstract
Digital transformation (DT) has become a top priority for higher education (HE), driven by technological advances such as artificial intelligence (AI), artificial general intelligence (AGI) and Generative Open AI. It serves as a catalyst for the reshaping of mainstream processes in academic institutions, emphasizing teamwork, collaborative projects and critical thinking in research, learning and assessment strategies. In this chapter, the authors contextualize the use of this DT, highlighting its potential to improve learning experiences, business efficiency and upskill students and faculty. The holistic approach to DT as an enabler of excellence in HE is based on four pillars of excellence and impact: Business process reengineering, learning excellence and skill building, research capacity and innovation and partnership and outlook. DT needs the development of efficient, resilient, flexible and adaptable strategies and a strong collaboration between all the actors involved in the process to ensure the coherence, the sustainability and alignment of the objectives, means and targets with the real needs of the learners, tutors, labor market and society as whole. The authors’ bold proposition consists of a model for the strategy design of DT in universities and colleges organized in three dimensions: understand, strategize, deploy and exploit. Each dimension emphasizes different stages of the process: understanding emerging technologies and their impact on HE, collaboration between stakeholders, strategy and priorities formulation, roadmap of implementation, deployment and exploitation of digital technologies, etc. The ongoing DT in HE will continue to create an extensive shift in educational processes – learning, teaching, research and management. Institutions around the world are taking bold initiatives to adapt to this rapidly changing environment, emphasizing the importance of readiness for technological changes, system development, inclusive and sustainable transformation.
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Established on the detailed exploration of Chinese ancient management philosophies (CAMPs), the purpose of this paper is to extract enlightenments from CAMPs to see whether there…
Abstract
Purpose
Established on the detailed exploration of Chinese ancient management philosophies (CAMPs), the purpose of this paper is to extract enlightenments from CAMPs to see whether there exist some similarities between CAMPs and contemporary human resources management thoughts (CHRMTs) and pinpoint CAMPs' implications on human resource management practices nowadays.
Design/methodology/approach
Inspired by Lao Tzu's “When we can lay hold of the Dao of old to direct the things of the present day, and are able to know it as it was of old in the beginning, this is called (unwinding) the clue of Dao”, the paper explores, categorizes and integrates wisdom stemmed from CAMPs to evaluate whether there exist some commonly accepted arguments between CAMPs and CHRMTs.
Findings
CAMPs which have been passed on by generations for the past 2,500 years in China provide firm ground for human resources management thoughts and practices development; CAMPs' emphasis on people's well cultured morality and highly developed virtues has kindled a light to illuminate human resources management practices, not only in the past but also in the future. CHRMTs' principles concerning “people‐centered strategies”, employee recruitment and selection strategies, employee training and education strategies, staffing as well as employee retention strategies, can all trace their sources from CAMPs.
Originality/value
The research on CAMPs is not only significant to complement and extend CHRMTs but also useful to direct current human resource management practices.
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Yuan Li, Yanzhi Xia, Min Li, Jinchi Liu, Miao Yu and Yutian Li
In this paper the aim is that Aramid/alginate blended nonwoven fabrics were prepared, and the flame retardancy of the blended nonwoven fabrics was studied by thermogravimetric…
Abstract
Purpose
In this paper the aim is that Aramid/alginate blended nonwoven fabrics were prepared, and the flame retardancy of the blended nonwoven fabrics was studied by thermogravimetric analysis, vertical flame test, limiting oxygen index (LOI) and cone calorimeter test.
Design/methodology/approach
The advantages of different fibers can be combined by blending, and the defects may be remedied. The study investigates whether incorporating alginate fibers into aramid fibers can enhance the flame retardancy and reduce the smoke production of prepared aramid/alginate blended nonwoven fabrics.
Findings
Thermogravimetric analysis indicated that alginate fibers could effectively inhibit the combustion performance of aramid fibers at a higher temperature zone, leaving more residual chars for heat isolation. And vertical flame test, LOI and cone calorimeter test testified that the incorporation of alginate fibers improved the flame retardancy and fire behaviors. When the ratio of alginate fibers for aramid/alginate blended nonwoven fabrics reached 80%, the incorporation of alginate fibers could notably decreased peak-heat release rate (54%), total heat release (THR) (29%), peak-smoke production rate (93%) and total smoke production (86%). What is more, the lower smoke production rate and lower THR of the blends vastly reduced the risk of secondary injury in fires.
Originality/value
This study proposes to inhibit the flue gas release of aramid fiber and enhance the flame retardant by mixing with alginate fiber, and proposes that alginate fiber can be used as a biological smoke inhibitor, as well as a flame retardant for aramid fiber.
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Shahan Bin Tariq, Jian Zhang and Faheem Gul Gilal
Artificial intelligence (AI) radically transforms organizations, yet ethical AI’s effect on employee innovation remains understudied. Therefore, this study aims to explore whether…
Abstract
Purpose
Artificial intelligence (AI) radically transforms organizations, yet ethical AI’s effect on employee innovation remains understudied. Therefore, this study aims to explore whether responsible artificial intelligence (RAI) enhances high-tech employees’ innovative work behavior (IWB) through creative self-efficacy (CSE) and employee mental health and well-being (EMHWB). The study further examines how leaders’ RAI symbolization (LRAIS) moderates RAI’s effect.
Design/methodology/approach
Through structural equation modeling, 441 responses of high-tech firms’ employees from Pakistan were utilized for hypotheses testing via SmartPLS-4.
Findings
The results revealed that second-order RAI enhances employees’ IWB. The effect was supported directly and indirectly through CSE and EMHWB. Findings also showed that LRAIS significantly moderates RAI’s influence on CSE, on the one hand, and EMHWB, on the other.
Practical implications
High-tech firms’ managers can fix AI-outlook issues that impair their employees’ IWB by prioritizing an ethical AI design involving actions like AI control mechanisms, bias checks and algorithmic audits. Similarly, these managers should facilitate RAI discussions and targeted trainings focusing on employees’ cognitive development and well-being. Likewise, RAI embracement programs and evaluations for leadership positions could be incorporated into high-tech firms.
Originality/value
This study advances the mainstream AI literature and addresses a notable gap concerning RAI’s influence on employees’ IWB while grounding in social cognitive theory. Moreover, this study unveils how CSE and EMHWB affect IWB within RAI milieus. Additionally, through signaling theory, it underscores the significance of LRAIS in amplifying the direct association between RAI, CSE, and EMHWB within high-tech firms in emerging markets.
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Cheng-Ta Yang, Her-Tyan Yeh, Bing-Chang Chen and Guo-Xiang Jian
Extensive efforts have been conducted on the real-time strategy (RTS) games. The purpose of this paper is the specific artificial intelligence (AI) challenges posed by RTS games;…
Abstract
Purpose
Extensive efforts have been conducted on the real-time strategy (RTS) games. The purpose of this paper is the specific artificial intelligence (AI) challenges posed by RTS games; non-player character (NPC) is started out by collecting game-map resources to build up defenses and attack forces, to upgrade combat deployment.
Design/methodology/approach
The authors used weak AI fuzzy theory as the foundation for tunable development. With the fuzzy theory, the AI was more humanistic in its judgment process.
Findings
Well-developed AIs have been used brilliantly in various aspects in RTS games, especially in those developed by large production teams. For small production teams, how to develop an AI system in less time and at a lower cost is extremely important.
Research limitations/implication
This study aimed to develop a system using player unit threat levels for NPC deployment and arrangement so that the further strategy would be adopted for NPCs in response to player actions.
Originality/value
The RTS games would become more challenging for players to play.
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Artificial Intelligence (AI) in education is a rapidly emerging technology that has revolutionised teaching and learning, administrative tasks and research in higher education…
Abstract
Artificial Intelligence (AI) in education is a rapidly emerging technology that has revolutionised teaching and learning, administrative tasks and research in higher education. The emergence of AI in higher education has impacted the evolving roles of faculty and students, how data is examined and how results are delivered. In this chapter, the different aspects of the role of AI and the transformative power of AI in both academic and administrative spheres are revealed. The case studies presented and future directions reveal AI's capability in transforming education and preparing for an AI-driven workforce. The personalisation of learning experiences, automation of administrative tasks, enhancement of research and impact on instructional design, all made possible through AI, reveal the possibility of tackling long-standing challenges in education, such as accessibility, engagement and efficiency. In the AI-enhanced future that higher education institutions navigate, it is vital to hold on to the principle that AI should be used as a tool for empowerment, innovation and transformation, ensuring that learning goes through the required progress.
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Abstract
Purpose
Supply chain finance (SCF) is a promising financing solution for small and medium enterprises (SMEs). The study aims to highlight the determinants of the adoption of SCF and the theoretical implications for SCF in SMEs.
Design/methodology/approach
Drawing on the theory of planned behaviour (TPB), the authors develop a model and test hypotheses about the factors (1) SE, (2) attitude toward SCF, (3) social influence (SI), (4) adoption intention (AI) and (5) actual adoption (AA) of SCF. Data collected from a survey of 211 managers in SMEs in China were used to conduct a partial least squares (PLS) estimation.
Findings
The empirical results indicate that attitude toward SCF and SI positively affect AI towards SCF, whereas AI positively affects the AA of SCF. Specifically, the authors find that AI plays a mediating role in the relationship between SE and AA of SCF, whereas attitude toward SCF plays a mediating role between SI and AI.
Originality/value
First, the authors use the TPB to study the adoption of SCF in SMEs. Second, the authors apply PLS to clarify the influence mechanism of behavioural factors on the adoption of SCF. The authors provide a useful approach for practitioners in examining the adoption of SCF by SMEs.
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Xusen Cheng, Ying Bao, Alex Zarifis, Wankun Gong and Jian Mou
Artificial intelligence (AI)-based chatbots have brought unprecedented business potential. This study aims to explore consumers' trust and response to a text-based chatbot in…
Abstract
Purpose
Artificial intelligence (AI)-based chatbots have brought unprecedented business potential. This study aims to explore consumers' trust and response to a text-based chatbot in e-commerce, involving the moderating effects of task complexity and chatbot identity disclosure.
Design/methodology/approach
A survey method with 299 useable responses was conducted in this research. This study adopted the ordinary least squares regression to test the hypotheses.
Findings
First, the consumers' perception of both the empathy and friendliness of the chatbot positively impacts their trust in it. Second, task complexity negatively moderates the relationship between friendliness and consumers' trust. Third, disclosure of the text-based chatbot negatively moderates the relationship between empathy and consumers' trust, while it positively moderates the relationship between friendliness and consumers' trust. Fourth, consumers' trust in the chatbot increases their reliance on the chatbot and decreases their resistance to the chatbot in future interactions.
Research limitations/implications
Adopting the stimulus–organism–response (SOR) framework, this study provides important insights on consumers' perception and response to the text-based chatbot. The findings of this research also make suggestions that can increase consumers' positive responses to text-based chatbots.
Originality/value
Extant studies have investigated the effects of automated bots' attributes on consumers' perceptions. However, the boundary conditions of these effects are largely ignored. This research is one of the first attempts to provide a deep understanding of consumers' responses to a chatbot.
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Mengmeng Song, Xinyu Xing, Yucong Duan and Jian Mou
Based on appraisal theory and social response theory, this study aims to explore the mechanism of AI failure types on consumer recovery expectation from the perspective of service…
Abstract
Purpose
Based on appraisal theory and social response theory, this study aims to explore the mechanism of AI failure types on consumer recovery expectation from the perspective of service failure assessment and validate the moderate role of anthropomorphism level.
Design/methodology/approach
Three scenario-based experiments were conducted to validate the research model. First, to test the effect of robot service failure types on customer recovery expectation; second, to further test the mediating role of perceived controllability, perceived stability and perceived severity; finally, to verify the moderating effect of anthropomorphic level.
Findings
Non-functional failures reduce consumer recovery expectation compared to functional failures; perceived controllability and perceived severity play a mediating role in the impact of service failure types on recovery expectation; the influence of service failure types on perceived controllability and perceived severity is moderated by the anthropomorphism level.
Originality/value
The findings enrich the influence mechanism and boundary conditions of service failure types, and have implications for online enterprise follow-up service recovery and improvement of anthropomorphic design.