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1 – 7 of 7Ming Tian, Jiarui Yan and Xiaotong Li
Artificial intelligence (AI) used in service has sparked fundamental changes in how enterprises engage their customers. AI specifically designed for customer service is denoted as…
Abstract
Purpose
Artificial intelligence (AI) used in service has sparked fundamental changes in how enterprises engage their customers. AI specifically designed for customer service is denoted as service-oriented AI. Through the lens of social information processing theory and the pleasure-arousal-dominance (PAD) emotional state model, this study aims to examine the underlying mechanisms for service-oriented AI anthropomorphism to influence customers' propensity for value co-creation.
Design/methodology/approach
Our data were collected from hotel customers who had experienced interactions with service-oriented AI. Through purposive sampling, 350 survey responses were collected. We analyzed the survey data using covariance-based structural equation modeling (CB-SEM).
Findings
This study has two key findings. Firstly, customers' propensity for value co-creation is favorably facilitated by the anthropomorphism of service-oriented AI. Secondly, the anthropomorphism of service-oriented AI can strengthen customers' perceptions of cuteness and service capacity, elicit a sense of novelty, and enhance customers' propensity to collaborate with service-oriented AI to create value. These findings address the research gaps by focusing on customer engagement through service-oriented AI and provide a theoretical basis for subsequent practical endeavors in the field.
Originality/value
Integrating the PAD emotional state model with the social information processing theory, this study explores the effects of service-oriented AI's anthropomorphism on customers' propensity for value co-creation.
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Tuotuo Qi, Tianmei Wang and Jiarui Yan
Understanding health experts' online free knowledge contribution behavior is vital for promoting health knowledge and improving health literacy. This study focuses on the…
Abstract
Purpose
Understanding health experts' online free knowledge contribution behavior is vital for promoting health knowledge and improving health literacy. This study focuses on the spillover effects of different monetary incentive levels on health experts' free knowledge contribution behavior.
Design/methodology/approach
In 2016, Zhihu Live and Zhi Hu were launched as two types of paid knowledge products on Zhihu.com, a hybrid knowledge exchange platform. Focusing on the policy impact of launching Zhihu Live and Zhi Hu, this study uses the difference-in-differences model to analyze the heterogeneous spillover effects of high-yield and low-yield monetary incentives on health experts' free knowledge contribution behavior.
Findings
In the short term, the high-yield monetary incentive has positive spillover effects on the quantity and quality of free knowledge contribution while the low-yield monetary incentive generates opposite effects. In the long term, the effects of the high-yield monetary incentive remain significantly positive. The effect of the low-yield monetary incentive on the quantity of free knowledge contribution remains significantly negative, but its effect on the quality of free knowledge contribution is not significant.
Originality/value
This study combines theories of reciprocity and resource limitation to study the spillover effects of different monetary incentive levels on health experts' online behavior. The short-term and long-term effects of different monetary incentive levels on health experts' online behavior are also explored.
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Zhijun Yan, Roberta Bernardi, Nina Huang and Younghoon Chang
Alexander Kies, Arne De Keyser, Susana Jaramillo, Jiarui Li, Yihui (Elina) Tang and Ihtesham Ud Din
Neurotechnologies such as brain-computer interfaces (BCIs) are rapidly moving out of laboratories and onto frontline employees' (FLEs) heads. BCIs offer thought-controlled device…
Abstract
Purpose
Neurotechnologies such as brain-computer interfaces (BCIs) are rapidly moving out of laboratories and onto frontline employees' (FLEs) heads. BCIs offer thought-controlled device operation and real-time adjustment of work tasks based on employees’ mental states, balancing the potential for optimal well-being with the risk of exploitative employee treatment. Despite its profound implications, a considerable gap exists in understanding how BCIs affect FLEs. This article’s purpose is to investigate BCIs’ impact on FLEs’ well-being.
Design/methodology/approach
This article uses a conceptual approach to synthesize interdisciplinary research from service marketing, neurotechnology and well-being.
Findings
This article highlights the expected impact from BCIs on the work environment and conceptualizes what BCIs entail for the service sector and the different BCI types that may be discerned. Second, a conceptual framework is introduced to explicate BCIs’ impact on FLEs’ well-being, identifying two mediating factors (i.e. BCI as a stressor versus BCI as a resource) and three categories of moderating factors that influence this relationship. Third, this article identifies areas for future research on this important topic.
Practical implications
Service firms can benefit from integrating BCIs to enhance efficiency and foster a healthy work environment. This article provides managers with an overview of BCI technology and key implementation considerations.
Originality/value
This article pioneers a systematic examination of BCIs as workplace technology, investigating their influence on FLEs’ well-being.
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Achmad Wildan Kurniawan, Suwandi Sumartias, Soeganda Priyatna, Karim Suryadi and Eli Sumarliah
This study seeks to comprehend if political exposure containing disapproval and different values will affect implicit knowledge sharing (KS) amongst colleagues in the…
Abstract
Purpose
This study seeks to comprehend if political exposure containing disapproval and different values will affect implicit knowledge sharing (KS) amongst colleagues in the organization. This research examines participants' responses to a colleague's social-media political exposure and their readiness to perform implicit KS to their colleague.
Design/methodology/approach
Data collection uses an online questionnaire and a vignette approach. Subsequently, data analysis for 316 finished surveys employs structural equation modelling-partial least squares (SEM-PLS).
Findings
The findings show that the perceived-value similarity of political posts of a colleague significantly and indirectly affects workers' readiness to do implicit KS. Besides, likes and trusts also significantly affect workers' readiness to perform implicit KS. While perceived-value similarity strongly shapes likes, likes significantly and positively affect trusts.
Originality/value
Sharing social-media postings associated with political exposure can hinder the implicit KS in organizations and is understudied in the field of knowledge management. Especially, unlike this study which focuses on private companies, previous studies have paid more attention to public enterprises. Besides, this paper's empirical verification is obtained from private organizations in Indonesia, which is also neglected by scholars.
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China’s swift economic rise, as symbolized by the first Chinese Olympics and by surpassing Japan to become the world’s second largest economy despite the recent global financial…
Abstract
China’s swift economic rise, as symbolized by the first Chinese Olympics and by surpassing Japan to become the world’s second largest economy despite the recent global financial meltdown, has been accompanied by a transformation of Chinese foreign policy behavior. After spending the last decade emphasizing China’s “peaceful rise” or “peaceful development,” Beijing has begun to expound its policy preferences and territorial claims more forthrightly, even assertively. The purpose of this chapter will be to consider the origins, consequences, and likely future of the new Chinese foreign policy in the wake of the leadership transition at the 18th Party Congress in 2012 and the 12th National People’s Congress in 2013.
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Yiming Li, Hongzhuan Chen, Shuo Cheng and Abdul Waheed Siyal
In order to analyze the level of independent controllability and its evolution of high-end equipment manufacturing industry from Jiangsu Province, this article introduces the…
Abstract
Purpose
In order to analyze the level of independent controllability and its evolution of high-end equipment manufacturing industry from Jiangsu Province, this article introduces the dual-excitation control line method to construct a comprehensive evaluation model for independent controllability.
Design/methodology/approach
Through the collection of information of high-end equipment manufacturing industry's independent and controllable capabilities on different indicators, the three aspects of advancement, autonomy and controllability, an empirical evaluation of 10 enterprises in the high-end equipment cluster in Jiangsu Province was conducted in terms of advancement, autonomy and controllability.
Findings
It effectively reveals the area and evolution characteristics of the “reward” and “punishment” of different indicators of each representative enterprise and reflects the development status and different characteristics of each representative enterprise on the three indicators. The research results provide decision-making guidance for enterprises in the management and control of advanced manufacturing systems with independent and controllable capabilities.
Originality/value
Existing research focuses on the evaluation of enterprises' independent controllability only on a single angle or index. This paper maps the dynamic evaluation problem of multiple time-point data to the evaluation problem of single time-point multi-index data and investigates the fluctuation of the performance of the same enterprise under different indexes, so as to comprehensively evaluate the independent controllable level of high-end equipment manufacturing industry and analyze the reasons. Further, this paper first establishes an evaluation index system of independent controllable level of high-end equipment manufacturing industry and quantitatively measures the advanced, independent, controllable and other aspects of typical enterprises in this industry by constructing a double incentive control line evaluation model.
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