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1 – 10 of over 20000A number of literature contributions have underlined the importance of developing value-added logistics activities or VALS in order to help improve customers’ satisfaction…
Abstract
A number of literature contributions have underlined the importance of developing value-added logistics activities or VALS in order to help improve customers’ satisfaction. However, there is usually very little attention given regarding where to perform these VALS. This study aims to: (1) identify a comprehensive set of factors which may influence the location of VALS, (2) to analyze to what extent those factors influence location decisions, and (3) to distinguish the determinants behind the location choices for distribution centers and for the kind of VALS that will be developed in these distribution centers.
In this paper, we will present a conceptual framework on the locations of VALS in view of the identifying determinants for assigning VALS to logistical centers. We argue that the optimal location of VALS is determined by complex interactions between the determinants at the level of the choice of a distribution system, distribution center location factors, and different logistical characteristics regarding products.
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Kaixiao Jiang and Liam O'Callaghan
This chapter explores how the development of football fandom for the Chinese national team and local football clubs is strongly associated with societal changes. Although the…
Abstract
This chapter explores how the development of football fandom for the Chinese national team and local football clubs is strongly associated with societal changes. Although the performances of Chinese football teams, especially the national team, have failed to impress the world, football remains the most popular because of millions of supporters with loyalty and passion. Most studies related to fans mainly focus on the economic and political implications of spectatorship along with the rise of China. Nevertheless, few articles are available to answer the fundamental questions, such as ‘When did these supporters come out?’ and ‘What were the factors of the development of fandom?’. By going through archival records and published documents over the last decades, this chapter offers a comprehensive and historical analysis of the development of football fandom in the People's Republic of China (PRC) and deals with these unanswered questions. As such, this chapter does not intend to be the most authoritative one but is one of the rare sources to lay down the foundation for research on Chinese football fandom. Furthermore, this chapter also proves that studies on football fandom can be a useful window for observing Chinese society.
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Benjiang Lu, Ding Wu and Ruijing Zhao
Gifting is a typical monetization strategy for live streaming platforms to motivate providers’ live content contribution. However, research regarding the factors that affect…
Abstract
Purpose
Gifting is a typical monetization strategy for live streaming platforms to motivate providers’ live content contribution. However, research regarding the factors that affect individuals’ gifting intention is still at an infant stage. Therefore, this study aims to investigate the factors that affect individuals’ gifting intention during live streaming.
Design/methodology/approach
The authors build a model to uncover the factors that affect individuals’ gifting intention from a streamer–content perspective, and the hypotheses are largely validated by online survey data through structural equation model analysis.
Findings
Individuals’ perceived attractiveness of the streamers is significantly and positively associated with gifting intention for leisure-related live streaming, whereas individuals’ perceived similarity with the streamers is significantly and positively associated with gifting intention for leisure-related and non-leisure-related live streaming. For live content-related factors, the individuals’ perceived utilitarian value of content is significantly and positively associated with gifting intention for non-leisure-related live streaming, whereas the individuals’ perceived hedonic value is significantly positively associated with gifting intention for leisure-related live streaming. Perceived symbolic value is insignificantly associated with gifting intention for neither type of live streaming.
Originality/value
The research is an original work and significantly contributes to live streaming and PWYW literature, and the findings derived from this study can guide live streaming platforms to regulate individuals’ gifting intentions/behaviors better.
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Yanhong Chen, Yaobin Lu, Sumeet Gupta and Zhao Pan
Social shopping website (SSW) introduce the social side into the shopping process, thus making “window” shopping or browsing more interesting for customers. The purpose of this…
Abstract
Purpose
Social shopping website (SSW) introduce the social side into the shopping process, thus making “window” shopping or browsing more interesting for customers. The purpose of this paper is to investigate customer online browsing experience and its antecedents (i.e. information quality and social interaction) and consequences (i.e. urge to buy impulsively and continuous browsing intention) in the context of SSW.
Design/methodology/approach
A survey questionnaire was distributed to visitors of online SSW to collect data, and partial least squares technology was used to test the research model.
Findings
The results of this study reveal that three types of web browsing, namely, utilitarian browsing, hedonic browsing and social browsing, take place in a SSW. The unique factors of SSW, namely, the quality of user generated contents and social interaction are critical for facilitating customers’ browsing experiences. Furthermore, the findings reveal that hedonic browsing experience is found to be the most salient factor influencing customers’ urge to buy impulsively and continuance intention.
Practical implications
The findings suggest that practitioners, such as designers and managers of SSW should give special attention to the benefits of browsing activity to convert web browsers into impulse purchasers and increase customers’ loyalty. Moreover, they should focus on improving the quality of user generated content and pay more attention to support and encourage social interaction to enhance browsing experiences on a SSW.
Originality/value
Existing studies about browsing behavior mostly focus on traditional online e-commerce website. This study represents the first step toward understanding browsing activity on SSW. Moreover, prior studies mainly focused on utilitarian and hedonic browsing experience; however, there is a lack of research on social browsing experience. The current study attempts to fill this research gap.
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Dennis Lu-Chung Weng, Lu-Huei Chen and Ching-Hsing Wang
The main purpose of this study is to reveal how the China factor influences Taiwan voters' evaluations of the two major parties across elections and generations. We contend that…
Abstract
Purpose
The main purpose of this study is to reveal how the China factor influences Taiwan voters' evaluations of the two major parties across elections and generations. We contend that 1) elderly Taiwan voters may take the China factor more seriously than younger cohorts, and 2) China factor may be weighted differently depending on the levels of elections. More importantly, we argue that the China factor is tangled with voters' partisanship.
Design/methodology/approach
Data gathered from 2008 to 2014 Taiwan's Election and Democratization Study (TEDS) enable in investigating the influence of the China factor on Taiwan people's vote choices in the two local and two presidential elections. To answer the research question, this study applies issue voting theory and the seemingly unrelated regression (SUR) employed for empirical investigations.
Findings
The findings of this study provide empirical evidence on how political generations have changed their reactions to China in Taiwan's elections. The fundamental variables, party identification and the China issue are still very important and cannot be disregarded. Specifically, the China factor played a quite influential role in the Democratic Progressive Party (DPP) supporters' voting decisions regardless of their generations, whereas its effect on the Kuomintang (KMT) supporters' voting decisions varies depending on electoral contexts and generations.
Originality/value
While some scholars might suspect that the single item is not sufficient to be an effective predictor of vote choice, we contend that the China factor is definitely the most significant component in Taiwan's elections, especially when it is tangled with partisanship. The SUR approach in this study confirms that partisanship and the China factor cannot be viewed separately.
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Christopher J. Quinn, Matthew J. Quinn, Alan D. Olinsky and John T. Quinn
Online social networks are increasingly important venues for businesses to promote their products and image. However, information propagation in online social networks is…
Abstract
Online social networks are increasingly important venues for businesses to promote their products and image. However, information propagation in online social networks is significantly more complicated compared to traditional transmission media such as newspaper, radio, and television. In this chapter, we will discuss research on modeling and forecasting diffusion of virally marketed content in social networks. Important aspects include the content and its presentation, the network topology, and transmission dynamics. Theoretical models, algorithms, and case studies of viral marketing will be explored.
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Chun-Ming Chang, Chiahui Yen, Szu-Yu Chou and Wen-Wan Lo
This study aims to investigate the factors driving viewers' purchase intention in live-streaming by incorporating stimuli–organism–response (S–O–R) framework and…
Abstract
Purpose
This study aims to investigate the factors driving viewers' purchase intention in live-streaming by incorporating stimuli–organism–response (S–O–R) framework and extroversion–introversion personality perspectives.
Design/methodology/approach
Data collected from 228 users on live-streaming platforms in Taiwan were used to test the proposed model. The partial least squares method was used to test the measurement and the structural models.
Findings
Product attractiveness and trust in streamer significantly impacts purchase intention. The results also reveal that interactivity, breadth of information and uniqueness of information significantly impact product attractiveness, whereas social presence, breadth of information and uniqueness of information positively affect trust in streamer. Furthermore, streamer attractiveness has a greater effect on the purchase intention of extroverts.
Originality/value
This study investigates how the features of media, message and streamer impact purchase intention through their reactions to live-streaming. This research is also one of the earliest studies to examine the moderating role of extroversion–introversion personality on purchase intention and its antecedents in live-streaming commerce.
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Yujie Cheng, Hang Yuan, Hongmei Liu and Chen Lu
The purpose of this paper is to propose a fault diagnosis method for rolling bearings, in which the fault feature extraction is realized in a two-dimensional domain using scale…
Abstract
Purpose
The purpose of this paper is to propose a fault diagnosis method for rolling bearings, in which the fault feature extraction is realized in a two-dimensional domain using scale invariant feature transform (SIFT) algorithm. This method is different from those methods extracting fault feature directly from the traditional one-dimensional domain.
Design/methodology/approach
The vibration signal of rolling bearings is first transformed into a two-dimensional image. Then, the SIFT algorithm is applied to the image to extract the scale invariant feature vector which is highly distinctive and insensitive to noises and working condition variation. As the extracted feature vector is high-dimensional, kernel principal component analysis (KPCA) algorithm is utilized to reduce the dimension of the feature vector, and singular value decomposition technique is used to extract the singular values of the reduced feature vector. Finally, these singular values are introduced into a support vector machine (SVM) classifier to realize fault classification.
Findings
The experiment results show a high fault classification accuracy based on the proposed method.
Originality/value
The proposed approach for rolling bearing fault diagnosis based on SIFT-KPCA and SVM is highly effective in the experiment. The practical value in engineering application of this method can be researched in the future.
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Xiaojun Yang and Wei-chiao Huang
This paper examines the impact of residents’ human capital investment inequality on the urban–rural income gap, using China’s provincial panel data from 1997 to 2013. The results…
Abstract
This paper examines the impact of residents’ human capital investment inequality on the urban–rural income gap, using China’s provincial panel data from 1997 to 2013. The results show that, at the national level as well as at the regional level, residents’ overall human capital investment inequality has a positive significant impact on the urban–rural income gap. In addition, the impact of overall human capital investment inequality increased monotonically from the eastern region inward to the western region. In terms of the relative impact of each component of human capital investment inequality on the urban–rural income gap, migration investment inequality appears to have the greatest impact at the national level, whereas health investment inequality has the greatest impact on the urban–rural income gap in the eastern region, and education investment inequality exhibits the greatest impact in the central and western regions. We also investigate the impact of human capital investment inequality on the urban–rural income gap over different periods. The results show that residents’ overall human capital investment inequality had a positive impact on the urban–rural income gap in the period 1997–2008, but the impact rapidly shrunk in 2009–2013. Furthermore, the impact of residents’ health investment inequality on the urban–rural income gap shows a downward trend, and the impact of residents’ education investment inequality trended slightly upward from 1997 to 2008, and then rapidly shrunk in 2009–2013. Finally, the impact of residents’ migration investment inequality was only significant in 1997–2002.
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Vasim Ahmad, Lalit Goyal, Tilottama Singh and Jugander Kumar
This chapter explores the significance of blockchain technology in protecting data for intelligent applications across various industries. Blockchain is a distributed ledger that…
Abstract
This chapter explores the significance of blockchain technology in protecting data for intelligent applications across various industries. Blockchain is a distributed ledger that ensures the immutability and security of transactions. Given the increasing need for security measures in industries, understanding blockchain technology is crucial for preparing for its future applications.
This chapter aims to examine the use of blockchain technology across industries and presents a compilation of existing and upcoming blockchain technologies for intelligent applications. The methodology involves reviewing research to understand the security needs of different industries and providing an overview of methods used to enhance multi-institutional and multidisciplinary research in areas like the financial system, smart grid, and transportation system.
The findings highlight the benefits of blockchain networks in providing transparency, trust, and security for industries. The Responsible Sourcing Blockchain Network (RSBN) is an example that utilizes blockchain's decentralized ledger to track sustainable sourcing from mine to final product. This information can be shared with auditors, corporate governance organizations, and customers.
The practical implications of this chapter are significant, serving as a valuable resource for industries concerned with identity privacy, traceability, immutability, transparency, auditability, and security. Understanding and implementing blockchain technology can address the growing need for secure and intelligent applications, ensuring data protection and enhancing trust in various sectors.
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