Yong Yang, Yue Li, Xinyuan Zhao, Rob Law and Hongjin Song
Based on the advice response theory perspective, this study aims to investigate the effects of human managers and artificial intelligence (AI) systems on customer-contact…
Abstract
Purpose
Based on the advice response theory perspective, this study aims to investigate the effects of human managers and artificial intelligence (AI) systems on customer-contact employees’ aversion to AI systems in the hospitality industry. It examined the mediating role of advice content characteristics (efficacy, feasibility and implementation limitations) and advice delivery (facework and comprehensibility) on customer-contact employees’ aversion to AI systems.
Design/methodology/approach
Two scenario-based experiments were conducted (Nexperiment 1 = 499 and Nexperiment 2 = 300). Experiment 1 compared the effects of different advisor types (human managers vs AI systems) on employees’ aversion to AI systems. Experiment 2 investigated the mediating role of advice content characteristics (efficacy, feasibility and implementation limitations) and advice delivery (facework and comprehensibility).
Findings
The results showed employees tended to prioritize advice from human managers over output from AI systems. Moreover, advice content characteristics (efficacy, feasibility and implementation limitations) and advice delivery (facework and comprehensibility) played mediating roles in the relationship between advisor type characteristics and employees’ aversion to AI systems.
Practical implications
These findings contribute to the understanding of AI system aversion and provide theoretical insights into management practices involving customer-contact employees who interact with AI technology in the hospitality industry.
Originality/value
The primary contribution of this study is that it enriches the literature on employee aversion to AI systems by exploring the dual mediators (advice content characteristics and advice delivery) through which advisor type characteristics affect AI system aversion.
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Jingxuan Li, Yong Ye and Runmei Luo
Labor-related risks resulting from layoffs may pique auditors’ scrutiny. Although previous research has enriched the understanding of the economic consequences of layoffs, the…
Abstract
Purpose
Labor-related risks resulting from layoffs may pique auditors’ scrutiny. Although previous research has enriched the understanding of the economic consequences of layoffs, the authors know relatively little about the relationship between layoffs and audit fees. This study aims to investigate whether auditors are concerned about corporate layoff events and their pricing decisions under the influence of the events.
Design/methodology/approach
This study examines the effect of layoff storms on audit fees using news reports from mainstream financial and economic media in China about layoffs in listed companies. Based on whether the company is reported to have layoffs by the media in a fiscal year, this study collects data on 204 layoff storms in A-share listed companies from 2008 to 2022. Then, this study uses propensity score matching to reduce the interference of basic company characteristics.
Findings
This study finds that audit fees are higher after firms experience layoff storms. Higher internal control quality and pay advantage in the industry weaken the positive relationship between layoff storms and audit fees, while higher political uncertainty strengthens this positive relationship. Further tests show that companies with proactive layoffs, persistent layoffs and media disclosures of layoff numbers face more audit fees, but the type of corporate response to the layoff does not influence audit pricing.
Originality/value
This study contributes to the literature on audit pricing and the economic consequences of layoffs by emphasizing the impact of labor-related risks on audit fees.
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Borbála Bacsa-Károlyi and Anikó Fehérvári
This study aims to validate a typology of factors previously established by the authors that influence teachers' gameful practices and to investigate these factors further…
Abstract
Purpose
This study aims to validate a typology of factors previously established by the authors that influence teachers' gameful practices and to investigate these factors further qualitatively.
Design/methodology/approach
A focus group interview was conducted with four experienced teachers to gather their views on gameful education. The interview also included a metaphor analysis focusing on their beliefs about the compatibility of school learning and gamefulness. The data were coded using a deductive approach, and qualitative thematic analysis was employed.
Findings
Individual factors are more positive influences on gameful practices than institutional or system-level factors. Teachers stated that digital equipment is not essential for gameful practices, but governmental support in reshaping exam-centric education systems might be a key step in promoting their adoption.
Practical implications
In the 21st century, students' learning needs differ from past generations, creating challenging situations for teachers in exam-centric cultures. Gameful education could help teachers by introducing an engaging and motivating learning environment for students. This paper aims to help teachers implement and decision-makers support innovative practices that target lifelong learning.
Originality/value
The empirical findings validated the previously established typology of factors. This research presents best practices for teachers in implementing gameful methods and highlights hindering factors for school leaders and decision-makers aiming to support gameful practices.
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George B. Cunningham and Yong Jae Ko
The purpose of this paper is to examine the relationships among diversity, equity and inclusion (DEI), sport and the metaverse.
Abstract
Purpose
The purpose of this paper is to examine the relationships among diversity, equity and inclusion (DEI), sport and the metaverse.
Design/methodology/approach
The authors overview the metaverse, sport applications and ways multilevel theory can help explain the influence of DEI.
Findings
Drawing from multilevel theory, the authors identify parallels between the sport metaverse and traditional sport as well as unique DEI opportunities in the sport metaverse.
Originality/value
The manuscript contributes to the nascent body of research regarding sport and the metaverse, with a specific focus on social issues and the importance of considering unique DEI opportunities.
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Jiang Luo, Syed Imran Zaman, Sobia Jamil and Sharfuddin Ahmed Khan
Organizations have increasingly been compelled to engage in ecological businesses in recent decades, necessitating identifying environmental practices contributing to enhanced…
Abstract
Purpose
Organizations have increasingly been compelled to engage in ecological businesses in recent decades, necessitating identifying environmental practices contributing to enhanced sustainability. One of the main reasons for doing this research is to see how far down the path to green transformational leadership (GTFL) in Green Human Resource Management (GHRM) practices in the healthcare industry in Pakistan. Additionally, this research aims to analyze how this change affects the long-term success of businesses in sustainable performance (SP).
Design/methodology/approach
To identify factors related to the study variables, the research utilized master journals, as well as the Web of Science and Scopus databases. The ISM-DEMATEL (Interpretive Structural Modeling - Decision Making Trial and Evaluation Laboratory) technique was employed to establish a hierarchical model. This model facilitated the identification of cause-and-effect relationships among factors, which were further elucidated using the DEMATEL interrelationship diagram.
Findings
The analysis of the results indicates that Green Training (F4), Green Job Analysis (F1), Intellectual Stimulation (F10), and Green Product Innovation (F9) are the primary factors that have a significant impact on achieving Environmental Policies and Regulations (F13), and Subjective Environment Norms (F14) of SP factors.
Research limitations/implications
The study is implemented in the healthcare industry of Pakistan, with a focus on practical and managerial aspects. It encourages managers to develop and adapt their human resources policies and environmental strategies. Implementing safety health standards is crucial to mitigate the detrimental effects on the environment. The research was carried out during the period of the pandemic. The scope of this study was restricted to the healthcare industry in Pakistan.
Originality/value
In order to improve SP, this study presents a unique strategy combining sustainability into decision-making procedures with the function of GTFL in GHRM. Implementing safety health standards is crucial to mitigate the detrimental effects on the environment.
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Muhammad Bilal Farooq, Khwaja Naveed, Fahad Khalid, Anil Kumar Narayan and Ibrahim Mustafa Khudir
Given growing concerns about water scarcity, this study aims to investigate the extent and quality of corporate water management disclosures (hereafter water disclosures) in…
Abstract
Purpose
Given growing concerns about water scarcity, this study aims to investigate the extent and quality of corporate water management disclosures (hereafter water disclosures) in countries and jurisdictions facing extremely high water-stress levels. Contextual factors, at a macro/country, meso/stock exchange and micro/company level, influencing water disclosures, are examined.
Design/methodology/approach
The authors adopted an institutional perspective, integrating multi-level organizational fields, including micro/company-level, meso/stock exchange-level and macro/national-level influences while considering factors such as corporate governance (CG), regulatory stringency, cultural traits, advocacy for environmental management, environmental performance and sustainability indices. The authors use a GRI 303-based index to evaluate water disclosures of the top 100 listed companies from 12 stock-exchanges based in extremely high water-stress countries over a five-year period from 2016to 2020. While checking for robustness, the authors evaluate the impact of normative, coercive and mimetic forces on water disclosures at country, stock exchange and company levels.
Findings
Overall, water disclosure rates/extent and quality remain low with only incremental improvements observed over the five-year period. In terms of drivers, at a micro-level, the authors find that robust CG positively impacts water disclosure quality. At a meso level, regulatory stringency, environmental advocacy and the presence of a sustainability index positively influence water disclosure quality. At a macro level, power distance, uncertainty avoidance and masculinity negatively impact water disclosure quality, whereas long-term orientation and uncertainty avoidance positively impact it. Furthermore, countries characterized by robust governance and high environmental performance negatively influence disclosure quality in water sensitive industries.
Practical implications
The findings may prove useful to policymakers and regulators, including stock exchanges, in strengthening water disclosure requirements. Standard-setters may consider introducing more guidelines to assist reporters in improving the quality of their disclosures. Practitioners (managers and assurance providers) may use the findings to benchmark corporate reporting practices.
Social implications
The research provides insights that can inform policies promoting transparency and accountability around corporate use of societies’ scarce water resources. The study advances responsible water stewardship, aligning corporate actions with global sustainability goals, particularly around water scarcity. In doing so, these findings have implications that extend beyond corporate disclosure practices, impacting broader environmental conservation and resource management efforts.
Originality/value
The study examines corporate water disclosure rates and qualities in extremely high water-stress countries and jurisdictions. The evaluation of these disclosures using a GRI 303-based index generates a unique dataset that is analysed from a multi-level institutional perspective (micro, meso and macro) to provide insights into the factors influencing corporate water disclosure practices.
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Panjun Gao, Yong Qi, Hongye Zhao and Xing Li
The purpose of this study is to address the critical need for patent value evaluation within patent management, particularly in the context of the digital economy. Recognizing the…
Abstract
Purpose
The purpose of this study is to address the critical need for patent value evaluation within patent management, particularly in the context of the digital economy. Recognizing the importance of utilizing historical data, this research aims to uncover effective methodologies that enhance the appraisal of patent value, which is vital for informed decision-making in the management of scientific and technological advancements.
Design/methodology/approach
This study introduces a comprehensive evaluation model by analyzing various factors that influence patent value. An index system is constructed that integrates technical, economic and legal aspects to facilitate a nuanced assessment of patents. The methodological core of this research is the development of an XGBoost patent value appraisal model, which incorporates Bayesian optimization to refine the evaluation process. The model’s validity is tested through empirical analysis of patents in the rapidly evolving sector of cloud computing.
Findings
The empirical results demonstrate that the XGBoost model, strengthened by Bayesian optimization, outperforms traditional categorization techniques. The proposed model shows superior performance in terms of accuracy, precision, recall rate and operational feasibility. These findings indicate a significant improvement in the precision of patent potential and value assessments, leading to more reliable and actionable insights for patent management.
Originality/value
This study introduces a novel patent evaluation model that combines XGBoost with Bayesian optimization. XGBoost enhances performance by integrating weak learners, ideal for complex, nonlinear problems like patent valuation. Bayesian optimization refines hyperparameters efficiently using prior distributions and known results. Its practical implications for patent management and technology exploration are substantial, offering a new tool for strategic decision-making.
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Xing Li, Fangyuan Zheng, Yong Qi and Hanbo Zhang
Key core technology is the most important weapon of the country, and breaking through the “strangled” problem is one of the real problems that China’s emerging industries and…
Abstract
Purpose
Key core technology is the most important weapon of the country, and breaking through the “strangled” problem is one of the real problems that China’s emerging industries and enterprises must solve. Accurately identifying the “strangled” problem will help China accelerate the realization of high-level scientific and technological self-reliance and win the battle against key core technologies.
Design/methodology/approach
Combined with the characteristics of key core technologies, the key core technology evaluation system was constructed from four dimensions: technology innovation, technology radiation, technology economy and technology safety. We adopt the entropy TOPSIS method to evaluate the patents, and the patents with the top 5% scores are identified as key core technology patents. Then, this study identifies key core technology “strangled” problems in three dimensions: technology value advantage, competitive advantage and quantitative advantage.
Findings
Taking the patent data of the global new generation information technology industry from 2011 to 2023 as a sample, 178 moderately “strangled” technologies and 49 severely “strangled” technologies are selected. The study results are consistent with the current situation of the new generation information technology industry’s development, and verify the feasibility and reliability of the key core technology “strangled” problem identification model.
Originality/value
This study uses patent data to identify key core technologies and “Strangled” in the new generation information technology industry. It can provide a reference for relevant national departments and agencies, as well as universities and enterprises.
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Abstract
Purpose
Urban villages are prevalent informal settlements within Chinese cities, arising from urban expansion. These areas frequently face systematic demolition during urban renewal due to their disorderly layout and outdated appearance. Urban village renovation (UVR) entails balancing diverse interests and navigating complex conflicts, particularly within China’s dual property rights system encompassing urban and rural land. The purpose of this study is to avoid the fierce interest conflict of UVR.
Design/methodology/approach
This study utilized the theoretical framework of value co-destruction. Initially, text mining and literature analysis were employed to identify concept nodes and interaction relationships. Subsequently, the structural equation model (SEM) was used to verify the causal model. Finally, the fuzzy cognitive map (FCM) was developed to dynamically simulate value co-destruction scenarios within UVR across various hypothetical situations.
Findings
The concept nodes influencing value co-destruction in UVR form a complex system with multiple levels. This includes three cause nodes and one result node. Among these, actor-to-actor emerges as a primary and underlying cause influencing value co-destruction in these projects. Furthermore, strategies for UVR should prioritize integrated interventions that enhance actor-to-actor relationships.
Originality/value
This study introduced a novel mixed methodology aimed at systematically simulating the dynamic process of value co-destruction during UVR. It also provided a fresh perspective on reverse assessment to mitigate the prevalent interest conflicts in UVR, thereby contributing to theoretical advancements and practical strategies for UVR.
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Qianling Jiang, Jue Qian and Yong Zang
The rapid development and widespread application of artificial intelligence tools have raised concerns about how designers are embracing these technologies. This study…
Abstract
Purpose
The rapid development and widespread application of artificial intelligence tools have raised concerns about how designers are embracing these technologies. This study investigates the factors influencing designers' behavioral intention to use and disclose the use of generative artificial intelligence.
Design/methodology/approach
A quantitative research approach was employed, designing a structured questionnaire based on Self-Determination Theory to assess the impact of various psychological and social dimensions. The questionnaire included dimensions such as autonomy, competence, relatedness, social influence, value fit and social innovativeness. A Partial Least Squares Structural Equation Modeling analysis was conducted on 309 valid responses from diverse design fields.
Findings
Competence and relatedness are significant factors influencing designers' continuance intention to use generative artificial intelligence. Although autonomy does not significantly affect continuance intention, it plays a crucial role in the decision to disclose artificial intelligence participation. Social influence and value fit significantly shape autonomy, competence and relatedness, while the impact of social innovativeness is relatively limited.
Originality/value
This study clarifies the factors influencing designers' continuance intention and disclosure of generative artificial intelligence tools from both individual and social dimensions, enhancing the understanding of the relationship between designers and generative artificial intelligence tools. It provides valuable insights for the development of artificial intelligence technology and the future trends in the design industry, offering significant theoretical and practical value.