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1 – 10 of 59Yingying Su, Taifu Li, Debiao Wang and Xinghua Liu
For many optimization problems such as optimal techniques, compositions, producing process, the optimizing objectives in systems are complex relations with respect to a great deal…
Abstract
Purpose
For many optimization problems such as optimal techniques, compositions, producing process, the optimizing objectives in systems are complex relations with respect to a great deal of parameters. Generally, the objective function is hardly obtained, even the searching objective is unquantifiable. So it is difficult to model and optimize the complex systems to some extent.
Design/methodology/approach
To the above purpose, a novel approach is presented in this paper. It firstly utilizes the excellent fitting performance of neural network (NN) combined with expert knowledge (EK) to obtain the objective function, and secondly searches the optimal influential parameters with genetic algorithm (GA).
Findings
Peaks function inside Matlab and the acural application of comprehensive performance optimization in analog PID control system are studied, respectively. The results of simulation and the actual experiment both show that the modeling and optimizing method presented in the paper are effective.
Research limitations/implications
Expert knowledge is needed for the fuzzy/unquantifiable objective.
Practical implications
The paper presents a useful way to model and optimize complex systems.
Originality/value
The combined approach based on NN, EK and GA is firstly presented and is effectively used in modeling and optimizing complex systems.
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Yingying Chen, Gayathri Chandrasekaran, Eiman Elnahrawy, John‐Austen Francisco, Konstantinos Kleisouris, Xiaoyan Li, Richard P. Martin, Robert S. Moore and Begumhan Turgut
The purpose of this paper is to describe a general purpose localization system, GRAIL. GRAIL provides real‐time, adaptable, indoor localization for wireless devices.
Abstract
Purpose
The purpose of this paper is to describe a general purpose localization system, GRAIL. GRAIL provides real‐time, adaptable, indoor localization for wireless devices.
Design/methodology/approach
In order to localize as diverse a set of devices as possible, GRAIL utilizes a centralized, anchor‐based approach. GRAIL defines an abstract data model for various system components to support different physical modalities. The scalable architecture of GRAIL provides maximum flexibility to integrate various localization algorithms.
Findings
The authors show through real deployments that GRAIL functions over a variety of physical modalities, networks, and algorithms. Further, the authors found that a centralized solution has critical advantages over distributed implementations for handling privacy concerns.
Originality/value
A key contribution of this system is its universal approach: it can integrate different hardware and software capabilities within a single localization framework. The deployment of such a system in academic and research environments allows researchers to explore issues beyond algorithms and investigate effects in real deployments.
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Lihong Zhou, Longqi Chen and Yingying Han
The provision of high-quality e-Government services requires efficient and collaborative sharing of data across varied types of government agencies. However, interagency…
Abstract
Purpose
The provision of high-quality e-Government services requires efficient and collaborative sharing of data across varied types of government agencies. However, interagency government data sharing (IDS) is not always spontaneous, active and unconditional. Adopting a stickiness theory, this paper reports on a research study, which explores the causes of data stickiness in IDS.
Design/methodology/approach
This study employed an inductive case study approach. Twenty-three officials from the government of City M in Hubei Province, Central China, were approached and interviewed using a semi-structured question script.
Findings
The analysis of the interview data pointed to 27 causes of data stickiness in five main themes: data sharing willingness; data sharing ability; data articulatability; data residence; and data absorptive capacity. The analysis revealed that interagency tensions and lack of preparedness of individual agencies are the main causes of data stickiness in IDS.
Originality/value
The case setting is based on China's Government, but the findings offer useful insights and indications that can be shared across international borders.
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Songsheng Chen, Jun Guo, Yingying Tian and Lijuan Yan
Using unique trade credit insurance data from China, we examine whether trade insurance claims are associated with audit efforts and audit quality.
Abstract
Purpose
Using unique trade credit insurance data from China, we examine whether trade insurance claims are associated with audit efforts and audit quality.
Design/methodology/approach
The paper is based on a sample of Chinese firms to study insurance claims of trade credit insurance that affects abnormal audit fees.
Findings
In this study, we find that firms with high insurance claims pay higher abnormal audit fees. Further, our findings indicate that firms with high insurance claims have a short audit report lag and tend to select local audit firms.
Originality/value
To the best of our knowledge, this is the first study to investigate the association between trade credit insurance claims and audit efforts. In addition, we contribute to the literature on the agency cost of abnormal audit fees.
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Juan Tao, Wu Yingying and Zhang Jingyi
The purpose of this paper is to re-examine the effectiveness of price limits on stock volatilities in China over a more recent time period spanning from 2007 to 2012. The…
Abstract
Purpose
The purpose of this paper is to re-examine the effectiveness of price limits on stock volatilities in China over a more recent time period spanning from 2007 to 2012. The motivation stems from the fact that very high stock market volatilities are observed in China and we are sceptical of the volatility mitigating effect claimed by advocates of price limits.
Design/methodology/approach
The effectiveness of price limits on volatilities is examined using an event study methodology and within an expanded framework of volatility-volume relationships. The sample stocks include the 300 component stocks of the CSI300 Index.
Findings
Both event study and regression analysis suggest that price limits exaggerate market volatilities by causing volatility spillovers. The destabilising effect is much more pronounced for small firm stocks and when the market falls. In addition to the informational source of volatilities (represented by volume), price limits create another non-trivial frictional source of volatilities in China’s stock market.
Originality/value
This research is the first to re-examine the price limit effect in China’s stock market in an expanded framework of volatility-volume relationships. It identifies price limits, in addition to information, as another non-trivial frictional source of volatilities. The findings derived from a recent sample period confirm the conventional view of inefficiency of price limits raised by Fama (1989) and provide evidence in support of the pervasive trend of stock market deregulations.
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Yingyu Zhong, Yingying Zhang, Meng Luo, Jiayue Wei, Shiyang Liao, Kim-Lim Tan and Steffi Sze-Nee Yap
Grounding the research in the stimulus-organism-resource (S-O-R) framework, this study aims to address the research gap of explaining and predicting the relationship between price…
Abstract
Purpose
Grounding the research in the stimulus-organism-resource (S-O-R) framework, this study aims to address the research gap of explaining and predicting the relationship between price discounts, interactivity and professionalism on college students’ purchasing intention in live-streaming shopping. It also attempts to understand if trust plays the role of mediator in the effect of these relationships.
Design/methodology/approach
This study collected data using a questionnaire protocol adapted and refined from the original scales in existing studies. The partial least squares structural equation modeling was used to analyze data collected from 258 college students in China. Other than assessing the path model’s explanatory power, this study examined the model’s predictive power toward predicting new cases using PLS predict.
Findings
Results indicated that all three predictors have a positive significant relationship with trust, while only price discounts demonstrate a significant relationship with purchase intention. Simultaneously, the mediation results provide support to the S-O-R framework demonstrating that external factors (professionalism, interactivity and price discounts) can arouse organism (trust), which in return, generate a behavioral outcome (purchase intention).
Originality/value
This study is the first few studies that focus on college students’ behavioral responses in an online shopping environment. At the same time, this is the first study supplement the explanatory perspective with a predictive focus, which is of particular importance in making sound recommendations on managerial decision-making.
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Guangning Zhang, Xinxin Zhang and Yingying Wang
This study aims to investigate the effect of perceived insider status to employees' innovative behavior, the mediating role of knowledge sharing and the moderating role of…
Abstract
Purpose
This study aims to investigate the effect of perceived insider status to employees' innovative behavior, the mediating role of knowledge sharing and the moderating role of organizational innovation climate in the relationship between knowledge sharing and employees' innovative behavior.
Design/methodology/approach
This study adopted questionnaires to gather data. The sample of 341 employees working in diverse organizations in China was applied to examine the hypotheses.
Findings
The results indicate that perceived insider status is positively related to employees' innovative behavior and knowledge sharing mediates the relationship between perceived insider status and employees' innovative behavior. In addition, organizational innovation climate enhances the relationship of knowledge sharing and employees' innovative behavior.
Originality/value
This study builds a system from psychological aspect to behavior, which includes the mechanism of the influence of perceived insider status on employees' innovative behavior and a cross-level analysis of the influence of organizational innovation climate on employees' innovative behavior, breaking through the previous research paradigm of a single level of climate and employee behavior.
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Yingying Liao, Ebrahim Soltani, Fangrong Li and Chih-Wen Ting
Prior research examining cultural effects on customer service expectations has primarily used more generic Western cultural theory on an aggregate scale or with only a single…
Abstract
Purpose
Prior research examining cultural effects on customer service expectations has primarily used more generic Western cultural theory on an aggregate scale or with only a single variable to draw conclusions on a customer’s underlying reasoning for buying a service. This study aims to focus on culturally distinct clusters within non-Western nations, specifically exploring within-cluster differences in service expectations within the Confucian Asia cluster.
Design/methodology/approach
This study developed a measurement model of Chinese cultural values and service expectations, consisting of a three and five-factor structure, respectively. Data from a sample of 351 diners were analysed using SmartPLS software. The data was compared with similar studies within the Confucian Asia cluster to understand the culture effect on service expectations and within-cluster variations.
Findings
The findings underscore the varying importance of cultural values in shaping customer service expectations, emphasizing their relative, rather than equal, significance. The study provides insights into potential within-group differences in customer service expectations within the same cultural cluster – without losing sight of the fundamental cultural heterogeneity of the Confucian culture.
Practical implications
Managers should leverage the distinct cultural values of their operating country to gain insights into diverse customer groups, predict their behaviours and meet their needs and expectations.
Originality/value
This study offers valuable insights to both service management scholars and practitioners by focusing on culturally distinct clusters of non-Western nations and exploring their effects on variation in service expectations within these clusters.
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Yingying Xin, Xiao Zeng and Zhengying Luo
This paper examines whether and how customers' annual report tone affects suppliers' innovation decisions.
Abstract
Purpose
This paper examines whether and how customers' annual report tone affects suppliers' innovation decisions.
Design/methodology/approach
Using the data from disclosed information on top five customers and annual report tone by Chinese listed firms, this paper used a two-way fixed effect model and intermediary effect model tests to explore the impact of customers' annual report tone on suppliers' innovation decisions.
Findings
The results indicate that the more positive the tone of customer annual reports is, the higher the suppliers' technological innovation level. The customers' annual report tone affects suppliers' innovation decisions through alleviating financing constraints and reducing the bullwhip effect. In addition, the authors find that the worse the supplier's bargaining power and the higher the customer's media coverage, the more significant the impact of positive customer annual report tone on the level of corporate technological innovation.
Practical implications
For downstream customers, to improve the quality of their text information disclosure. For upstream suppliers, the tone of customers' annual reports has incremental information, so the attention to customers' text information should be strengthened. As far as the market is concerned, it is recommended that regulators should strictly require the quality of text information disclosure and introduce relevant penalty mechanisms better to regulate the quality of corporate text information disclosure.
Originality/value
To the best of the author's knowledge, this paper is the first to expand the research related to textual information from a supply chain innovation perspective. The textual information can provide incremental information, and spillover effects may occur among supply chains, affecting suppliers' innovation decisions. And it clarifies the specific mechanism by which the supply chain tone spillover effect affects corporate innovation, enriching the relevant research on supply chain influence mechanisms.
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Weihua Deng, Ming Yi and Yingying Lu
The helpfulness vote is a type of aggregate user representation that, by measuring the quality of an online review based on certain criteria, can allow readers to find helpful…
Abstract
Purpose
The helpfulness vote is a type of aggregate user representation that, by measuring the quality of an online review based on certain criteria, can allow readers to find helpful reviews more quickly. Although widely applied in practice, the effectiveness of the voting mechanism is unsatisfactory. This paper uses the heuristic–systematic model and the theory of dynamics of reviews to shed light on the effect of various information cues (product ratings, word count and product attributes in the textual content of reviews) on online reviews’ aggregative voting process. It proposes a conceptual model of seven empirically tested hypotheses.
Design/methodology/approach
A dataset of user-generated online hotel reviews (n = 6,099) was automatically extracted from Ctrip.com. In order to measure the variable of product attributes as a systematic cue, the paper uses Chinese word segmentation, a part-of-speech tag and word frequency statistics to analyze online textual content. To verify the seven hypotheses, SPSS 17.0 was used to perform multiple linear regression.
Findings
The results show that the aggregative process of helpfulness voting can be divided into two stages, initial and cumulative voting, depending on whether voting is affected by the previous votes. Heuristic (product ratings, word count) and systematic cues (product attributes in the textual content) respectively exert a greater impact on the two stages. Furthermore, the interaction of heuristic and systematic cues plays an important role in both stages, with a stronger impact on the cumulative voting stage and a weaker one on the initial stage.
Practical implications
This paper’s findings can be used to explore improvements to helpfulness voting by aligning it with an individual’s information process strategy, such as by providing more explicating heuristic cues, developing different methods of presenting relevant cues to promote the voting decision at different stages, and specifying the cognitive mechanisms when designing the functions and features of helpfulness voting.
Originality/value
This study explores the aggregative process of helpfulness votes, drawing on the study of the dynamics of online reviews for the first time. It also contributes to the understanding of the influence of various information cues on the process from an information process perspective.
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