Search results

1 – 10 of over 10000
To view the access options for this content please click here
Article
Publication date: 2 June 2021

Bingcheng Yang, Hongyan Yu, Yu Yu and Miaoling Liu

Based on the online brand community, this study focuses on how online brand community experience affects customer voice and discusses the relationship between community…

Abstract

Purpose

Based on the online brand community, this study focuses on how online brand community experience affects customer voice and discusses the relationship between community engagement and community commitment. Specifically, we examine the mediation effect of community engagement between community experience and customer voice and also the moderation role of community commitment.

Design/methodology/approach

The survey data is collected through the online survey of people who participate in the online mobile phone brand community. In total, 369 members of online community users (Huawei and Apple communities) were collected as the research samples. Then the structural equation model analysis was tested through the SPSS 25 and Mplus 7 in a two-stage analysis program.

Findings

The results show that (1) customer online brand community experience has a positive impact on customer voice; (2) community engagement mediates the positive relationship between online brand community experience and customer voice; and (3) community commitment plays a moderating role between customer experience and customer voice. Compared with low level customer's community commitment, when customer's community commitment is high, the level of community engagement has a greater mediation effect on the positive relationship between community experience and customer voice.

Research limitations/implications

On the one hand, the model of customer community experience to customer voice built in this paper has not been fully validated. Whether the model can get more robust results needs to be extended to more different community scenarios. On the other hand, this paper is actually cross-sectional data, which cannot strictly reveal the causal relationship. The authors recommend that future research may use other research methods to further reveal its internal mechanism.

Practical implications

This paper shows that customer's community experience has an important impact on customer voice behavior. Among them, information experience and sociability remain as the important factor affecting customer voice behavior, which is quiet important for maintaining brand community and product or service improvement. Brand community managers need to consistently create multiple forms of information presentation and interaction channels to enhance the information and social experience of community members.

Originality/value

First, this paper puts forward a new perspective on customer comments or feedback-customer voice, which provides a solid foundation and reference value for future scholars to explore such important phenomena. Second, the relationship between community experience and customer voice behavior was examined, which enriched the research on community experience and also discovered another positive significance of community experience in community construction. Finally, the authors examine the mediation effect of community engagement on customer voice behavior. Community engagement is one of the important indicators that reflexing community performance, which is of great significance to the brand community.

Details

Marketing Intelligence & Planning, vol. 39 no. 6
Type: Research Article
ISSN: 0263-4503

Keywords

To view the access options for this content please click here
Article
Publication date: 12 October 2018

Xiaowei Zhu, Yanqiu Chen, Yu Liu, Yongqiang Deng, Changyu Tang, Weilian Gao, Jun Mei, Junhua Zhao, Tong Liu and Jian Yang

The purpose of this paper is to provide additive manufacturing-based solutions for preparation of elastomeric foam with broaden compressive stress plateau.

Abstract

Purpose

The purpose of this paper is to provide additive manufacturing-based solutions for preparation of elastomeric foam with broaden compressive stress plateau.

Design/methodology/approach

Mechanic models are developed for obtaining designs of foam cell units with enhanced elastic buckling. An experimental approach is taken to fabricate the foams based on direct ink writing technique. Experimental and simulation data are collected to assist understanding of our proposals and solutions.

Findings

A simple tetragonal structured elastomeric foam is proposed and fabricated by direct ink writing, in which its cell unit is theoretically designed by repeating every four filament layers. The foam exhibits a broader stress plateau, because of the pronounced elastic buckling under compressive loading as predicted by the authors’ mechanic modeling. A two-stage stress plateaus as observed in the foam, being attributed to the dual elastic buckling of the cell units along two lateral directions of the XY plane during compression.

Research limitations/implications

Future work should incorporate more microscopic parameters to tune the elastomeric foam for mechanic performance testing on linear elastic deformation and densification of polymer matrix.

Practical implications

Additive manufacturing offers an alternative to fabricate elastomeric foam with controlled cell unit design and therefore mechanics. Our results comment on its broad space for development such superior cushioning or damping material in the fields of vibration and energy absorption.

Originality/value

This work has contributed to new knowledge on preparation of high performance elastomeric foam by providing a better understanding on its cell structure, being printed using direct ink writing machines.

Details

Rapid Prototyping Journal, vol. 24 no. 9
Type: Research Article
ISSN: 1355-2546

Keywords

To view the access options for this content please click here
Article
Publication date: 14 May 2019

Yu Liu, Bingjie Liu-Lastres, Qiuju Wang and Yao-Yi Fu

Beijing is becoming one of the top global destinations but the number of international tourists to the city has been declining recently. By analyzing inbound tourists…

Abstract

Purpose

Beijing is becoming one of the top global destinations but the number of international tourists to the city has been declining recently. By analyzing inbound tourists experience in Beijing and identifying the relationship between the destination attributes and satisfaction, the purpose of this paper is to provide important insights into city tourism research and city destination development.

Design/methodology/approach

This study used an online deductive approach and collected 1,254 reviews on TripAdvisor referencing major attractions in Beijing. This study used the Leximancer software to analyze the content of the reviews and to identify the underlying relationships.

Findings

The results showed that international tourists’ experience in Beijing can be reflected via five aspects: attractions, city, transportation, service and people. The results further indicated that the major concern of international tourists visiting Beijing related to the service quality on site.

Originality/value

This study explored inbound tourists experience in Beijing using an online deductive approach. Practical implications were provided with respect to improving international tourists experience in Beijing and enhancing their satisfaction and revisiting intentions.

Details

International Journal of Tourism Cities, vol. 5 no. 3
Type: Research Article
ISSN: 2056-5607

Keywords

To view the access options for this content please click here
Book part
Publication date: 11 June 2021

Sven Laumer and Christian Maier

Social media usage, especially social networking sites (SNSs), such as Facebook, Instagram, TikTok, Twitter, WhatsApp, YouTube, and LinkedIn provide lots of benefits to…

Abstract

Social media usage, especially social networking sites (SNSs), such as Facebook, Instagram, TikTok, Twitter, WhatsApp, YouTube, and LinkedIn provide lots of benefits to their users, including fun, information from significant others, and a distraction from real-life problems. In parallel, the authors see that there are also negative consequences, such as stress when using SNS. In 2012, research started to talk about SNS-use stress as a specific form of technostress. Since that early study, 62 articles have been published in peer-reviewed outlets that explain why SNS-users perceive stress. Our literature review uses the transactional model of stress to integrate these articles to propose a transactional model of SNS-use stress. The model indicates social and technical SNS-stressors that trigger psychological, physiological, and behavioural reactions, named SNS-strains. Our findings suggest there are more social SNS-stressors than technical ones. In terms of SNS-strain, research has mainly focussed on psychological, e.g. exhaustion or dissatisfaction, and behavioural, e.g. discontinuous usage intention or distraction, SNS-strains. Based on those results, the authors identify research gaps and provide implications for research, SNS-users, SNS-providers, organisations, and parents. With that, the authors aim to provide a conceptual summary of the past and, simultaneously, a starting point for further research.

Details

Information Technology in Organisations and Societies: Multidisciplinary Perspectives from AI to Technostress
Type: Book
ISBN: 978-1-83909-812-3

Keywords

To view the access options for this content please click here
Article
Publication date: 5 September 2016

Yu-Lun Liu, Kathleen A. Keeling and K. Nadia Papamichail

The purpose of this paper is to investigate the consequences of jobseeker decision-making style on information search behaviour, information evaluation and perceptions of…

Downloads
2193

Abstract

Purpose

The purpose of this paper is to investigate the consequences of jobseeker decision-making style on information search behaviour, information evaluation and perceptions of organisational attractiveness (OA). In this study, the authors assess whether, when presented with a realistic job information searching scenario of receiving basic job information from a typical formal short job advertisement, maximisers and satisficers differ on need for further information and evaluation of further information from informal information sources in relation to valence and tie strength.

Design/methodology/approach

A scenario-based experiment was conducted on 280 participants from the USA, with work experience in retail, using Amazon Mechanical Turk.

Findings

The results show that, compared to satisficers, significantly more maximisers chose to search for further information about the company/vacancy after receiving a typical short advertisement message. Furthermore, the results highlight the moderating effects of decision-making style (maximiser vs satisficer), tie strength (strong-tie vs weak-tie provider) and message valence (positive vs negative) on jobseekers’ perceived OA.

Practical implications

Companies seeking to increase their candidate pool should consider accommodating the different decision-making styles of jobseekers by carefully designing the content of recruitment information and utilising recruitment information sources. Although conducted in just one sector, the ubiquity of the maximiser/satisficer decision-making style implies further research to assess the implications for other sectors.

Originality/value

Research on decision-making style in recruitment is relatively limited. This study demonstrates the differences between maximisers and satisficers in terms of job-related information needs, and the evaluation of the source/content, when searching for a retail trade job.

To view the access options for this content please click here
Article
Publication date: 14 May 2018

Yun-Shan Cheng, Ping-Yu Hsu and Yu-Chin Liu

To retain consumer attention and increase purchasing rates, many e-commerce vendors have adopted content-based recommender systems. However, apart from text-based…

Abstract

Purpose

To retain consumer attention and increase purchasing rates, many e-commerce vendors have adopted content-based recommender systems. However, apart from text-based documents, there is little theoretical background guiding element selection, resulting in a limited content analysis problem. Another inherent problem is overspecialization. The purpose of this paper is to establish a value-based recommendation methodology for identifying favorable attributes, benefits, and values on the basis of means-end chain theory. The identified elements and the relationships between them were utilized to construct a recommender system without incurring either problem.

Design/methodology/approach

This study adopted soft laddering and content analysis to collect popular elements. The relationships between the elements were established by using a hard laddering online questionnaire. The elements and the relationships were utilized to build a hierarchical value map (HVM). A mathematical model was then devised on the basis of the HVM to predict user preferences of attributes.

Findings

The results of a performance comparison showed that the proposed method outperformed the content-based attribute recommendation method and a hybrid method by 39 and 68 percent, respectively.

Originality/value

Although hybrid methods have been proposed to resolve the problem of overspecialization in content-based recommender systems, such methods have incurred “cold start” and “sparsity” problems. The proposed method can provide recommendations without causing these problems while outperforming the content-based and hybrid approaches.

Details

Industrial Management & Data Systems, vol. 118 no. 4
Type: Research Article
ISSN: 0263-5577

Keywords

To view the access options for this content please click here
Article
Publication date: 14 October 2021

Minggui Yu, Yujing Huang, Huijie Zhong and Qing Zhang

There are two opposite views about whether the Antitrust Law is conducive to the development of the economy. One view is that the Antitrust Law can restrain monopoly…

Abstract

Purpose

There are two opposite views about whether the Antitrust Law is conducive to the development of the economy. One view is that the Antitrust Law can restrain monopoly, maintain market competition and benefit economic growth. The other view is that the Antitrust Law inhibits innovation by monopolistic firms and fosters rent-seeking, which is bad for economic growth. To provide a possible perspective for clarifying the controversy, this paper aims to answer the following two questions: first, will the Antitrust Law inhibit corporate innovation? Second, does the antitrust enforcement agency discriminate against private enterprises?

Design/methodology/approach

Based on the samples of A-share listed companies from 2003 to 2013, the authors use the implementation of China’s Antitrust Law in 2008 as a policy shock, take the monopoly enterprises in each industry as the treatment group and competitive enterprises as the control group, using the difference-in-differences method to test the impact of the implementation of the Antitrust Law on corporate innovation activities.

Findings

The results show that compared with competitive enterprises, the patent output of monopolistic enterprises was significantly reduced after the implementation of the Antitrust Law, which indicates that the Antitrust Law does inhibit the innovation activities of monopolistic enterprises. Further research finds that the innovation suppression effect of the Antitrust Law is more prominent in state-owned enterprises, which means that the government does not have “selective law enforcement” against private enterprises in the process of law enforcement. Therefore, the results provide evidence for the idea that government intervention is neutral.

Originality/value

First, the paper enriches and expands the research on the factors affecting corporate innovation from the perspective of market structure. Second, it enriches and expands relevant research on the consequences of implementing the Antitrust Law from the perspective of corporate innovation. Third, it not only provides the relevant empirical evidence for clarifying the dispute about the Antitrust Law but also is helpful to clarify whether the Chinese Government has “selective law enforcement” against private enterprises.

Details

Nankai Business Review International, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 2040-8749

Keywords

To view the access options for this content please click here
Article
Publication date: 23 November 2018

Chih-Ming Chen, Yung-Ting Chen and Chen-Yu Liu

An automatic text annotation system (ATAS) that can collect resources from different databases through Linked Data (LD) for automatically annotating ancient texts was…

Downloads
2804

Abstract

Purpose

An automatic text annotation system (ATAS) that can collect resources from different databases through Linked Data (LD) for automatically annotating ancient texts was developed in this study to support digital humanities research. It allows the humanists referring to resources from diverse databases when interpreting ancient texts as well as provides a friendly text annotation reader for humanists interpreting ancient text through reading. The paper aims to discuss whether the ATAS is helpful to support digital humanities research or not.

Design/methodology/approach

Based on the quasi-experimental design, the ATAS developed in this study and MARKUS semi-ATAS were compared whether the significant differences in the reading effectiveness and technology acceptance for supporting humanists interpreting ancient text of the Ming dynasty’s collections existed or not. Additionally, lag sequential analysis was also used to analyze users’ operation behaviors on the ATAS. A semi-structured in-depth interview was also applied to understand users’ opinions and perception of using the ATAS to interpret ancient texts through reading.

Findings

The experimental results reveal that the ATAS has higher reading effectiveness than MARKUS semi-ATAS, but not reaching the statistically significant difference. The technology acceptance of the ATAS is significantly higher than that of MARKUS semi-ATAS. Particularly, the function comparison of the two systems shows that the ATAS presents more perceived ease of use on the functions of term search, connection to source websites and adding annotation than MARKUS semi-ATAS. Furthermore, the reading interface of ATAS is simple and understandable and is more suitable for reading than MARKUS semi-ATAS. Among all the considered LD sources, Moedict, which is an online Chinese dictionary, was confirmed as the most helpful one.

Research limitations/implications

This study adopted Jieba Chinese parser to perform the word segmentation process based on a parser lexicon for the Chinese ancient texts of the Ming dynasty’s collections. The accuracy of word segmentation to a lexicon-based Chinese parser is limited due to ignoring the grammar and semantics of ancient texts. Moreover, the original parser lexicon used in Jieba Chinese parser only contains the modern words. This will reduce the accuracy of word segmentation for Chinese ancient texts. The two limitations that affect Jieba Chinese parser to correctly perform the word segmentation process for Chinese ancient texts will significantly affect the effectiveness of using ATAS to support digital humanities research. This study thus proposed a practicable scheme by adding new terms into the parser lexicon based on humanists’ self-judgment to improve the accuracy of word segmentation of Jieba Chinese parser.

Practical implications

Although some digital humanities platforms have been successfully developed to support digital humanities research for humanists, most of them have still not provided a friendly digital reading environment to support humanists on interpreting texts. For this reason, this study developed an ATAS that can automatically retrieve LD sources from different databases on the Internet to supply rich annotation information on reading texts to help humanists interpret texts. This study brings digital humanities research to a new ground.

Originality/value

This study proposed a novel ATAS that can automatically annotate useful information on an ancient text to increase the readability of the ancient text based on LD sources from different databases, thus helping humanists obtain a deeper and broader understanding in the ancient text. Currently, there is no this kind of tool developed for humanists to support digital humanities research.

To view the access options for this content please click here
Article
Publication date: 9 September 2021

Biao Sun and Yu Liu

Research on social media frequently analyze social media usage (SMU)'s positive consequences for organizations and individuals; however, recent innovation studies caution…

Abstract

Purpose

Research on social media frequently analyze social media usage (SMU)'s positive consequences for organizations and individuals; however, recent innovation studies caution that SMU may not always lead to positive new product development (NPD) outcomes. The competing streams of research highlight a fundamental tension that exists in the social media literature exemplified by the question: Is SMU good or bad for NPD? In this manuscript, the authors suggest that a more appropriate question as follows: What are the positive and negative indirect effects of SMU on NPD performance? The purpose of this paper is to discuss the aforementioned points in detail.

Design/methodology/approach

A literature review provides the model and hypotheses. Using a sample of 168 Chinese firms, the authors conducted an empirical test following multiple regression analysis.

Findings

The results demonstrate that SMU facilitates business analytics (ability) and social legitimacy (opportunity) but impairs entrepreneurial proclivity (motivation). These three constructs in turn mediate the effect of SMU on NPD performance. Moreover, this paper explores how technological turbulence moderates SMU's effects on business analytics, entrepreneurship proclivity and social legitimacy.

Research limitations/implications

The results may be affected by both the context (solely in China) and type (cross-sectional) of the data set. Future research might take a decompositional approach to study SMU's effect on innovation in different NPD stages. Furthermore, with widely varying purposes (e.g., marketing, information searching, partner collaboration, new product launch, etc.), there is certainly a need for more clarity and understanding of how firms can leverage each of these different social media activities for successful NPD.

Practical implications

First, we suggest that managers in China should be explicitly aware of the double-edged sword effect of SMU on NPD performance. Second, this study encourages managers to use social media carefully when technological turbulence becomes intense.

Originality/value

Drawing on the ability–motivation–opportunity framework, this is one of the first studies to simultaneously examines the benefits and costs of SMU for NPD. In addition, this paper bridges the separate literatures on social media, business analytics, entrepreneurial proclivity and social legitimacy and contributes to the NPD research.

Details

European Journal of Innovation Management, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1460-1060

Keywords

To view the access options for this content please click here
Book part
Publication date: 13 November 2014

Maoliang Bu, Shuwen Zhai, Jie Zhang and Wenping Zheng

The central debate on pollution havens concerns whether the level of environmental regulation in developing countries influences foreign investment location decisions…

Abstract

The central debate on pollution havens concerns whether the level of environmental regulation in developing countries influences foreign investment location decisions. Most empirical studies are based on aggregate data, while micro-level evidence is relatively lacking in the literature. To fill this research gap, this paper tests for the existence of intracountry pollution havens in China by estimating the determinants of foreign investment flows based on a large firm-level panel dataset. Evidence from this study supports the existence of pollution havens within China in certain industries. However, the sensitivity of foreign investment to environmental regulation varies significantly across industries with different pollution characteristics. Furthermore, when the impact of government subsidies on foreign investment is accounted for, the results show that subsidies can compensate for pollution treatment costs in provinces with stricter environmental regulation.

Details

Globalization and the Environment of China
Type: Book
ISBN: 978-1-78441-179-4

Keywords

1 – 10 of over 10000