Shijie Dai, Shining Li, Wenbin Ji, Zhenlin Sun and Yufeng Zhao
This study aims to realize the constant force grinding of automobile wheel hub.
Abstract
Purpose
This study aims to realize the constant force grinding of automobile wheel hub.
Design/methodology/approach
A force control strategy of backstepping + proportion integration differentiation (PID) is proposed. The grinding end effector is installed on the flange of the robot. The robot controls the position and posture of the grinding end actuator and the grinding end actuator controls the grinding force output. First, the modeling and analysis of the grinding end effector are carried out, and then the backstepping + PID method is adopted to control the grinding end effector to track the expected grinding force. Finally, the feasibility of the proposed method is verified by simulation and experiment.
Findings
The simulation and experimental results show that the backstepping + PID strategy can track the expected force quickly, and improve the dynamic response performance of the system and the quality of grinding and polishing of automobile wheel hub.
Research limitations/implications
The mathematical model is based on the pneumatic system and ideal gas, and ignores the influence of friction in the working process of the cylinder, so the mathematical model proposed in this study has certain limitations. A new control strategy is proposed, which is not only used to control the grinding force of automobile wheels, but also promotes the development of industrial control.
Social implications
The automatic constant force grinding of automobile wheel hub is realized, and the manpower is liberated.
Originality/value
First, the modeling and analysis of the grinding end effector are carried out, and then the backstepping + PID method is adopted to control the grinding end effector to track the expected grinding force. The nonlinear model of the system is controlled by backstepping method, and in the process, the linear system composed of errors is obtained, and then the linear system is controlled by PID to realize the combination of backstepping and PID control.
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Chia-Ling Chang, Yen-Liang Chen and Jia-Shin Li
The purpose of this paper is to provide a cross-platform recommendation system that recommends the most suitable public Instagram accounts to Facebook users.
Abstract
Purpose
The purpose of this paper is to provide a cross-platform recommendation system that recommends the most suitable public Instagram accounts to Facebook users.
Design/methodology/approach
We collect data from both Facebook and Instagram and then propose a similarity matching mechanism for recommending the most appropriate Instagram accounts to Facebook users. By removing the data disparity between the two heterogeneous platforms and integrating them, the system is able to make more accurate recommendations.
Findings
The results show that the method proposed in this paper can recommend suitable public Instagram accounts to Facebook users with very high accuracy.
Originality/value
To the best of the authors’ knowledge, this is the first study to propose a recommender system to recommend Instagram public accounts to Facebook users. Second, our proposed method can integrate heterogeneous data from two different platforms to generate collaborative recommendations. Furthermore, our cross-platform system reveals an innovative concept of how multiple platforms can promote their respective platforms in a unified, cooperative and collaborative manner.
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We study the information content of issuer credit rating changes announced by a group of six Chinese credit rating agencies. We conduct an event study, and we use multivariate…
Abstract
We study the information content of issuer credit rating changes announced by a group of six Chinese credit rating agencies. We conduct an event study, and we use multivariate regression analyses to identify factors driving abnormal stock returns. Our results confirm prior findings for Western countries that downgrades are associated with significant negative abnormal returns. However, upgrades and positive or negative rating outlooks do not seem to have information content. While we cannot find differences in information content conditional on which rating agency issues the downgrade, we find that abnormal returns may vary with the target firm’s industry. In addition, the magnitude of stock price reactions to rating downgrades seems to be related to the business cycle to some extent. With respect to the role of the industry in explaining the information content of rating changes, our results may be biased due to small sample size. Nevertheless, they illustrate that the role the industry plays in explaining investor behavior may deserve special attention in future research. Our findings imply that new rating information seems to be processed quickly in the Chinese stock market, and that market reactions to rating signals are largely in line with what has been observed for Western stock markets. Both observations lend credibility to observable stock prices. The chapter sheds new light on the relevance of Chinese credit rating agencies from an equity investor’s perspective and confirms similarities between the Chinese and Western stock markets with respect to the way rating signals are processed by investors.
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This article has been withdrawn as it was published elsewhere and accidentally duplicated. The original article can be seen here: 10.1108/02635579710173239. When citing the…
Abstract
This article has been withdrawn as it was published elsewhere and accidentally duplicated. The original article can be seen here: 10.1108/02635579710173239. When citing the article, please cite: Chang Chung Li, Tsong Shin Sheu, Yuh Ren Wang, (1997), “Some thoughts on the evolution of quality engineering”, Industrial Management & Data Systems, Vol. 97 Iss: 4, pp. 153 - 157.
Sebastian Molinillo, Francisco Muñoz-Leiva and Fátima Pérez-García
The purpose of this paper is to empirically examine the factors that influence the acceptance and use of mobile casual games.
Abstract
Purpose
The purpose of this paper is to empirically examine the factors that influence the acceptance and use of mobile casual games.
Design/methodology/approach
A theoretical model is proposed based on the theory of reasonable action, the uses and gratifications theory, the network externalities (NEs) paradigm and the human–computer interaction literature. An empirical study was conducted through an online survey of mobile casual gamers in Spain, using a convenience sample. The proposed model was tested by an analysis of the collected data through a structural equation model using the partial least squares method.
Findings
The results indicate that human–mobile game interaction and NEs have a significant indirect impact on intention to play (IP), through utilitarian, hedonic and relational motivations. In addition, the full mediation effect of attitude was found between these constructs and IP, which is a very important determinant of actual use.
Originality/value
This study is among the few that focuses on users’ acceptance of mobile games apps, the features of which differ significantly from personal computer and console games. It highlights the effects of human–game interaction and NEs on the adoption of mobile casual games. Hence, the study contributes to the theoretical and practical understanding of the factors that lead users to adopt an entertainment mobile application.
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Zhenyan Li, Chuanhui Wu, Jiaxuan Li and Qinjian Yuan
Chatbots are increasingly embodied in business and IS contexts to enhance customer and user experience. Despite wide interest in chatbots among business and IS academics…
Abstract
Purpose
Chatbots are increasingly embodied in business and IS contexts to enhance customer and user experience. Despite wide interest in chatbots among business and IS academics, surprisingly, there are no current comprehensive reviews to reveal the knowledge structure of chatbot research in such areas.
Design/methodology/approach
This study employed a mixed-method approach that combines systematic review and bibliometric analysis to provide a comprehensive synthesis of chatbot research. The sample was obtained in December 2023 after searching across six databases: EBSCOhost, PsycINFO, Web of Science, Scopus, ACM Digital Library and IEEE Computer Society Digital Library.
Findings
This study reveals the major trend in publication trends, countries, article performance and cluster distribution of chatbot research. We also identify the key themes of chatbot research, which mainly focus on how users interact with chatbots and their consequences, such as users’ cognition and behavior. Moreover, several important research agendas have been discussed to address some limitations in the current chatbot research in business and IS fields.
Originality/value
The present review is one of the first attempts to systematically reveal the ongoing knowledge map of chatbots in business and IS fields, which makes important contributions and provides useful resources for future chatbot research and practice.
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China is a fast‐growing economy, and many multinational companies (MNCs) have found their ways to infiltrate that market. The competition among the MNCs has generated human…
Abstract
Purpose
China is a fast‐growing economy, and many multinational companies (MNCs) have found their ways to infiltrate that market. The competition among the MNCs has generated human resource management (HRM) problems. When formulating approaches in dealing with these problems, the expatriate management of the MNCs often “speak for” their local employees, as if the latter has no voice of its own. It is suspected that MNCs know partly what their local employees value. With such limited understanding, the former may be ineffective in managing their local staff. The purpose of this paper is to report a study that explores the HRM problems from local employees' perspectives. To understand Chinese employees, the conceptual lens, stemmed from Chinese philosophical traditions instead of that derived from western experience, is used.
Design/methodology/approach
Data were collected through semi‐structured interviews with Chinese employees working in MNCs.
Findings
The findings suggest that “asymmetrical understanding” exists between expatriate managers and their Chinese employees, and that the former may know much less about the latter than it is normally assumed.
Research limitations/implications
The findings, illustrated through interviews, have shed light on how MNCs could manage their Chinese employees, and how a meaningful dialogue could take place: understanding the other (Chinese employees) on their own intellectual ground to overcome “asymmetrical understanding”.
Originality/value
By allowing the voice of the other to come forth rather than to keep it in the background as, at best, a whisper, the study helps create a platform for a meaningful cross‐cultural dialogue between voices from the west and the other.
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John S. Howe and Scott O’Brien
We examine the use of relative performance evaluation (RPE), asymmetry in pay for skill/luck, and compensation benchmarking for a sample of firms involved in a spinoff. The…
Abstract
We examine the use of relative performance evaluation (RPE), asymmetry in pay for skill/luck, and compensation benchmarking for a sample of firms involved in a spinoff. The spinoff affects firm characteristics that influence the use of the identified compensation practices. We test for differences in the compensation practices for the pre- and post-spinoff firms. We find that RPE is used for post-spinoff CEOs, but not pre-spinoff CEOs. Post-spinoff CEOs are also paid asymmetrically for luck where they are rewarded for good luck but not punished for bad luck. Both pre- and post-spinoff CEOs receive similar levels of compensation benchmarking. The study provides additional evidence on factors that influence compensation practices. Our spinoff sample allows us to examine how compensation practices are affected by changes in firm characteristics while keeping other determinants of compensation constant (i.e., the board and, in many cases, the CEO). Our findings contribute to the understanding of how the identified compensation practices are used.
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Jan Hendrik Blümel, Mohamed Zaki and Thomas Bohné
Customer service conversations are becoming increasingly digital and automated, leaving service encounters impersonal. The purpose of this paper is to identify how customer…
Abstract
Purpose
Customer service conversations are becoming increasingly digital and automated, leaving service encounters impersonal. The purpose of this paper is to identify how customer service agents and conversational artificial intelligence (AI) applications can provide a personal touch and improve the customer experience in customer service. The authors offer a conceptual framework delineating how text-based customer service communication should be designed to increase relational personalization.
Design/methodology/approach
This paper presents a systematic literature review on conversation styles of conversational AI and integrates the extant research to inform the development of the proposed conceptual framework. Using social information processing theory as a theoretical lens, the authors extend the concept of relational personalization for text-based customer service communication.
Findings
The conceptual framework identifies conversation styles, whose degree of expression needs to be personalized to provide a personal touch and improve the customer experience in service. The personalization of these conversation styles depends on available psychological and individual customer knowledge, contextual factors such as the interaction and service type, as well as the freedom of communication the conversational AI or customer service agent has.
Originality/value
The article is the first to conduct a systematic literature review on conversation styles of conversational AI in customer service and to conceptualize critical elements of text-based customer service communication required to provide a personal touch with conversational AI. Furthermore, the authors provide managerial implications to advance customer service conversations with three types of conversational AI applications used in collaboration with customer service agents, namely conversational analytics, conversational coaching and chatbots.
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Kwame Ansong Wadei, Chen Lu and Weijun Wu
This paper aims to draw upon motivated information processing theory to examine the sequential mediating roles of perspective taking and boundary spanning between transformational…
Abstract
Purpose
This paper aims to draw upon motivated information processing theory to examine the sequential mediating roles of perspective taking and boundary spanning between transformational leadership and the creative performance of knowledge workers.
Design/methodology/approach
The study was carried out on a sample, including a dyad of 398 knowledge workers and their immediate supervisors in four research institutes in southwest China. The authors tested the theoretical model using structural equation modeling (SEM) and Mplus 7.0 software.
Findings
The results support the mediation model in which perspective taking was found to significantly and positively mediate the relationship between transformational leadership and boundary spanning. Boundary spanning was found to significantly and positively mediate the relationship between perspective taking and creative performance. Moreover, both perspective taking and boundary spanning were found to mediate the relationship between transformational leadership and creative performance.
Practical implications
The study findings imply that the transformational leadership behaviors of managers or supervisors nurture knowledge workers' perspective taking and their boundary spanning activities leading to creative performance.
Originality/value
The findings contribute new knowledge to the relationship between transformational leadership and creative performance by uncovering the causal chain of a cognitive mechanism (perspective taking) with a behavioral mechanism (boundary spanning).