Zhonglai Tian, Hongtai Cheng, Liangliang Zhao and Jingdong Zhao
The purpose of this paper is to design a multifingered dexterous hand grasping planning method that can efficiently perform grasping tasks on multiple dexterous hand platforms.
Abstract
Purpose
The purpose of this paper is to design a multifingered dexterous hand grasping planning method that can efficiently perform grasping tasks on multiple dexterous hand platforms.
Design/methodology/approach
The grasping process is divided into two stages: offline and online. In the offline stage, the grasping solution form is improved based on the forward kinematic model of the dexterous hand. A comprehensive evaluation method of grasping quality is designed to obtain the optimal grasping solution offline data set. In the online stage, a safe and efficient selection strategy of the optimal grasping solution is proposed, which can quickly obtain the optimal grasping solution without collision.
Findings
The experiments verified that the method can be applied to different multifingered dexterous hands, and the average grasping success rate for objects with different structures is 91.7%, indicating a good grasping effect.
Originality/value
Using a forward kinematic model to generate initial grasping points can improve the generality of grasping planning methods and the quality of initial grasping solutions. The offline data set of optimized grasping solutions can be generated faster by the comprehensive evaluation method of grasping quality. Through the simple and fast obstacle avoidance strategy, the safe optimal grasping solution can be quickly obtained when performing a grasping task. The proposed method can be applied to automatic assembly scenarios where the end effector is a multifingered dexterous hand, which provides a technical solution for the promotion of multifingered dexterous hands in industrial scenarios.
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Qiongwei Ye and Baojun Ma
Internet + and Electronic Business in China is a comprehensive resource that provides insight and analysis into E-commerce in China and how it has revolutionized and continues to…
Abstract
Internet + and Electronic Business in China is a comprehensive resource that provides insight and analysis into E-commerce in China and how it has revolutionized and continues to revolutionize business and society. Split into four distinct sections, the book first lays out the theoretical foundations and fundamental concepts of E-Business before moving on to look at internet+ innovation models and their applications in different industries such as agriculture, finance and commerce. The book then provides a comprehensive analysis of E-business platforms and their applications in China before finishing with four comprehensive case studies of major E-business projects, providing readers with successful examples of implementing E-Business entrepreneurship projects.
Internet + and Electronic Business in China is a comprehensive resource that provides insights and analysis into how E-commerce has revolutionized and continues to revolutionize business and society in China.
Allan KK Chan, Caleb Huanyong Chen and Long Zhao
area E-Business; Corporate Strategy; Strategic Management; Operation Management.
Abstract
Subject
area E-Business; Corporate Strategy; Strategic Management; Operation Management.
Study
level/applicability Senior undergraduate; MBA; EMBA.
Case
overview After development for 10 years, JD was now China’s second largest business-to-customer (B2C) e-retailer and the largest in self-operated sector. It was September 2015 when Liu Qiangdong was deciding whether to persist with JD’s self-operated model and the heavy investment in the self-built logistics system. JD’s business model had been functioning well. However, as JD grew bigger and bigger, it became too expensive to expand its logistics system. JD had not made a profit since it raised funds from investors. Liu had to come up with a good proposal before the next monthly meeting to convince them that JD would finally overtake its biggest rival, Alibaba which ran on a different business model. In addition, JD was exploiting the rural and the global markets, as well as a new business in internet finance. Facing challenges and dilemmas, should JD persist with its model? How could Liu align short-term profitability with long-run development? How could JD overcome attacks from Alibaba and other competitors?
Expected
learning outcomes This case is appropriate for courses in e-business and strategy, particularly those with a strong focus on doing e-business in emerging markets (e.g. China). After studying the case, students should be able to: understand the e-commerce market in China; understand business models and key strategies of e-retailers; identify and analyse the pros and cons of the self-operated business model and self-built logistics system in e-commerce; learn how to evaluate performance, strategies and business models of e-commerce companies; and extract key trends in the market and compare different strategies.
Supplementary
materials Teaching notes are available for educators only. Please contact your library to gain login details or email support@emeraldinsight.com to request teaching notes.
Subject code:
CSS 11: Strategy.
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Qi Wang, Lin Wang, Xiaohang Zhang, Yunxia Mao and Peng Wang
Because online shopping is risky, there is a strong need to develop better presentation of online reviews, which may reduce the perceived risk and create more pleasurable shopping…
Abstract
Purpose
Because online shopping is risky, there is a strong need to develop better presentation of online reviews, which may reduce the perceived risk and create more pleasurable shopping experiences. To test the impact of online reviews’ sentiment polarity presentation, the purpose of this paper is to adopt a scenario experiment to study consumers’ decision-making process under the two scenarios of mixed presentation and classified presentation of online reviews collected from Jingdong.com in China: focusing on the comparative analysis on the differences of the consumers’ perceived risk, purchase intention and purchase delay, and further studying the interaction effect of involvement and online reviews’ sentiment polarity presentation.
Design/methodology/approach
This paper employed a 2×2 factorial experiment to test the hypothesis. The experimental design is divided into four groups: 2 (online reviews’ sentiment polarity presentation: mixed presentation vs classified presentation) × 2 (involvement: low vs high), each of which contains 90 samples. Through the data analysis, the main effect, mediation effect and moderating effect were examined.
Findings
The results show that compared with mixed presentation, classified presentation can reduce purchase intention and increase purchase delay due to the existence of loss aversion and availability heuristic. Furthermore, the paper also confirms that there is a significant interaction effect between involvement and online reviews’ sentiment polarity presentation.
Originality/value
The existing research pays less attention to the impact of online reviews presentation on consumers’ decision making, especially the lack of discussion on the interaction effect between involvement and online reviews presentation. For this reason, this paper proposes a problem, which concerns whether mixed presentation and classified presentation of online reviews will affect consumers’ decision making differently.
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Ziang Wang and Feng Yang
It has always been a hot topic for online retailers to obtain consumers’ product evaluations from massive online reviews. In the process of online shopping, there is no…
Abstract
Purpose
It has always been a hot topic for online retailers to obtain consumers’ product evaluations from massive online reviews. In the process of online shopping, there is no face-to-face interaction between online retailers and customers. After collecting online reviews left by customers, online retailers are eager to acquire answers to some questions. For example, which product attributes will attract consumers? Or which step brings a better experience to consumers during the process of shopping? This paper aims to associate the latent Dirichlet allocation (LDA) model with the consumers’ attitude and provides a method to calculate the numerical measure of consumers’ product evaluation expressed in each word.
Design/methodology/approach
First, all possible pairs of reviews are organized as a document to build the corpus. After that, latent topics of the traditional LDA model noted as the standard LDA model, are separated into shared and differential topics. Then, the authors associate the model with consumers’ attitudes toward each review which is distinguished as positive review and non-positive review. The product evaluation reflected in consumers’ binary attitude is expanded to each word that appeared in the corpus. Finally, a variational optimization is introduced to calculate parameters mentioned in the expanded LDA model.
Findings
The experiment’s result illustrates that the LDA model in the research noted as an expanded LDA model, can successfully assign sufficient probability with words related to products attributes or consumers’ product evaluation. Compared with the standard LDA model, the expanded model intended to assign higher probability with words, which have a higher ranking within each topic. Besides, the expanded model also has higher precision on the prediction set, which shows that breaking down the topics into two categories fits better on the data set than the standard LDA model. The product evaluation of each word is calculated by the expanded model and depicted at the end of the experiment.
Originality/value
This research provides a new method to calculate consumers’ product evaluation from reviews in the level of words. Words may be used to describe product attributes or consumers’ experiences in reviews. Assigning words with numerical measures can analyze consumers’ products evaluation quantitatively. Besides, words are labeled themselves, they can also be ranked if a numerical measure is given. Online retailers can benefit from the result for label choosing, advertising or product recommendation.
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Lixin Xia, Zhongyi Wang, Chen Chen and Shanshan Zhai
Opinion mining (OM), also known as “sentiment classification”, which aims to discover common patterns of user opinions from their textual statements automatically or…
Abstract
Purpose
Opinion mining (OM), also known as “sentiment classification”, which aims to discover common patterns of user opinions from their textual statements automatically or semi-automatically, is not only useful for customers, but also for manufacturers. However, because of the complexity of natural language, there are still some problems, such as domain dependence of sentiment words, extraction of implicit features and others. The purpose of this paper is to propose an OM method based on topic maps to solve these problems.
Design/methodology/approach
Domain-specific knowledge is key to solve problems in feature-based OM. On the one hand, topic maps, as an ontology framework, are composed of topics, associations, occurrences and scopes, and can represent a class of knowledge representation schemes. On the other hand, compared with ontology, topic maps have many advantages. Thus, it is better to integrate domain-specific knowledge into OM based on topic maps. This method can make full use of the semantic relationships among feature words and sentiment words.
Findings
In feature-level OM, most of the existing research associate product features and opinions by their explicit co-occurrence, or use syntax parsing to judge the modification relationship between opinion words and product features within a review unit. They are mostly based on the structure of language units without considering domain knowledge. Only few methods based on ontology incorporate domain knowledge into feature-based OM, but they only use the “is-a” relation between concepts. Therefore, this paper proposes feature-based OM using topic maps. The experimental results revealed that this method can improve the accuracy of the OM. The findings of this study not only advance the state of OM research but also shed light on future research directions.
Research limitations/implications
To demonstrate the “feature-based OM using topic maps” applications, this work implements a prototype that helps users to find their new washing machines.
Originality/value
This paper presents a new method of feature-based OM using topic maps, which can integrate domain-specific knowledge into feature-based OM effectively. This method can improve the accuracy of the OM greatly. The proposed method can be applied across various application domains, such as e-commerce and e-government.
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Shuman Wang, Chunlin Yuan, Yue Liu and Hakil Moon
This paper explores how the blockchain food traceability system (BFTS) affects consumers' affective brand commitment and subsequent willingness to pay premium prices.
Abstract
Purpose
This paper explores how the blockchain food traceability system (BFTS) affects consumers' affective brand commitment and subsequent willingness to pay premium prices.
Design/methodology/approach
From February 11 to May 23, 2023, this study collected data from 236 Chinese customers, who had purchased blockchain-traced food in Jingdong Mall within the past three months. Structural equation modelling was used to analyse the data.
Findings
The main findings were as follows: (1) BFTS information transparency, information immutability and product diagnosticity are significant predictors of consumer-perceived trustworthiness; BFTS information transparency, product diagnosticity and product safety are significant predictors of consumer-perceived informativeness, (2) Perceived trustworthiness and perceived informativeness build consumers' affective brand commitment, (3) Affective brand commitment affects willingness to pay premiums and (4) Health consciousness positively moderates the relationship between consumers' affective brand commitment and willingness to pay premiums.
Originality/value
This paper complements the research on consumer behaviour in the BFTS, and the research results provide important enlightenment for guiding food enterprises to formulate reasonable and perfect marketing strategies of blockchain-traced food.
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Baowen Sun, Wenjun Jing, Xuankai Zhao and Yi He
This paper aims to clear whether the monopoly structure of the internet industry has produced market power and discussed the welfare change of the internet industry monopoly.
Abstract
Purpose
This paper aims to clear whether the monopoly structure of the internet industry has produced market power and discussed the welfare change of the internet industry monopoly.
Design/methodology/approach
By using new empirical industrial organization methods and taking the e-commerce market as an example, the authors measured market power and economies of scale of the internet platform companies.
Findings
Internet platform enterprises have formed scale economy, but it has not had market power, and the industry still maintains high levels of competition; also, the emergence of large enterprises may increase the welfare of consumers.
Originality/value
The conclusion of this paper clarified actual competition status of internet industry and provided a new foothold for regulation and ideas for the traditional industry to crack the Marshall Conflict.
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Xuhui Wang, Bo Zhao and Jiaqi Chen
As Chinese imported cross-border e-commerce has entered a stage of rapid development, the problem of consumer shopping risk is increasingly prominent and the crisis of consumer…
Abstract
Purpose
As Chinese imported cross-border e-commerce has entered a stage of rapid development, the problem of consumer shopping risk is increasingly prominent and the crisis of consumer trust is intensified. The theory of establishing consumer trust in traditional online shopping can no longer meet the need of cross-border context.
Design/methodology/approach
The researchers used the methods of network logs and grounded theory. The data collection and analysis are conducted on consumer comments from Tmall Global, NetEase Koala and JD Worldwide in the product comment area. This article explored and extracted the moderating variables of consumer perceived risk and cross-border characteristics in cross-border e-commerce. Based on the theory of “perceived risk – consumer trust – consumer purchase decision – making,” this article deduced mechanism of consumer dynamic trust based on the whole process of cross-border e-commerce transaction.
Findings
In the prepurchase, purchase and postpurchase stages of cross-border e-commerce transactions, consumers' perceived cognitive risk, transaction risk and utility risk are moderated by the cultural distance, geographical distance and institutional distance caused by the cross-border transaction subjects. On this basis, the preinfluence factors of trust in each transaction stage are synthesized to respectively influence the establishment of cognitive trust, emotional trust and behavioral trust, so as to affect consumers to make the order payment, confirm receipt and praise repurchase decisions. At the same time, with the advance of prepurchase, purchase and postpurchase transactions in cross-border online shopping, consumer trust presents a dynamic evolutionary path of “cognitive trust – emotional trust – behavioral trust.”
Originality/value
This article expands the application context of the theory of consumer rational behavior from traditional online shopping to the context of cross-border online shopping and expands the scope of interpretation of the theory of consumer rational behavior. This article also supplements the theoretical gaps in the dynamic evolution of consumer trust in cross-border online shopping, enriches the decision-making process model of consumers in the context of cross-border online shopping and provides new ideas for follow-up research.
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Fatao Wang, Di Wu, Hongxin Yu, Huaxia Shen and Yuanjun Zhao
Based on the typical service supply chain (SSC) structure, the authors construct the model of e-tailing SSC to explore the coordination relationship in the supply chain, and big…
Abstract
Purpose
Based on the typical service supply chain (SSC) structure, the authors construct the model of e-tailing SSC to explore the coordination relationship in the supply chain, and big data analysis provides realistic possibilities for the creation of coordination mechanisms.
Design/methodology/approach
At the present stage, the e-commerce companies have not yet established a mature SSC system and have not achieved good synergy with other members of the supply chain, the shortage of goods and the greater pressure of express logistics companies coexist. In the case of uncertain online shopping market demand, the authors employ newsboy model, applied in the operations research, to analyze the synergistic mechanism of SSC model.
Findings
By analyzing the e-tailing SSC coordination mechanism and adjusting relevant parameters, the authors find that the synergy mechanism can be implemented and optimized. Through numerical example analysis, the authors confirmed the feasibility of the above analysis.
Originality/value
Big data analysis provides a kind of reality for the establishment of online SSC coordination mechanism. The establishment of an online supply chain coordination mechanism can effectively promote the efficient allocation of supplies and better meet consumers' needs.