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1 – 10 of over 7000Xin Liu, Chenghu Zhang and Jiaqi Wu
The purpose of this study is to investigate the influencing mechanism of consumers' continuous purchase intention toward the subscriber-based knowledge payment platforms (SBKPPs).
Abstract
Purpose
The purpose of this study is to investigate the influencing mechanism of consumers' continuous purchase intention toward the subscriber-based knowledge payment platforms (SBKPPs).
Design/methodology/approach
This study obtained 226 valid samples through questionnaire surveys and used partial least square structural equation modeling (PLS-SEM) and fuzzy-set qualitative comparative analysis (fsQCA) methods to elucidate the complex causal patterns of consumers' continuous purchase intention toward the SBKPPs.
Findings
The findings revealed that perceived utilitarian value, perceived hedonic value and perceived social value directly affected consumers' continuous purchase intention, while content quality and service quality indirectly affected consumers' continuous purchase intention. In addition, this study also demonstrated that all factors must be combined to play a role, and there exist four configurations resulting in consumers' continuous purchase intention toward the SBKPPs.
Research limitations/implications
The results can help researchers and practitioners better understand the causal patterns of consumers' continuous purchase intention toward the SBKPPs.
Originality/value
This study contributes to the knowledge payment literature by investigating consumers' continuous purchase intention toward the SBKPPs. This study also provides practical enlightenment for the SBKPPs' marketing.
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This paper discusses a knowledge based information retrieval model with hierarchical thesaurus. The model computes the conceptual distance between a query and an object and both…
Abstract
This paper discusses a knowledge based information retrieval model with hierarchical thesaurus. The model computes the conceptual distance between a query and an object and both are indexed with weighted terms from a hierarchical thesaurus. The hierarchical thesaurus is represented by a hierarchical‐concept graph (HCG) in which nodes represent concepts and directed edges represent generalisation relationships. Rada et al. have developed a similar model. However, their model considered only a binary indexing scheme and revealed some counter‐intuitive results. Our proposed model extends theirs by allowing the index term and the edge of the HCG to be weighted. A new concept mapping method is devised to overcome Rada's counter‐intuitive results. In addition, a scheme for allowing Boolean operators in user queries is provided with a formula for computing conceptual distance from negated index terms. Experimental results have shown that our model simulates human performance more closely than Rada's model.
Jin Sun, Ruining Liu and Pan Miao
This study aims to investigate how the effectiveness of green advertising can be improved by matching benefit appeals (self vs other) and message sidedness (one-sided vs…
Abstract
Purpose
This study aims to investigate how the effectiveness of green advertising can be improved by matching benefit appeals (self vs other) and message sidedness (one-sided vs two-sided) in consumer evaluations of green products.
Design/methodology/approach
Four scenario experiments and one field experiment were conducted to investigate the interaction effects of benefit appeals and message sidedness on green consumption. It aims to verify the psychological mechanisms that promote green consumption when benefit appeals and message sidedness are matched and to explore the persuasiveness of this matching on consumers with different power states engaging in green consumption.
Findings
Studies 1 and 4 provide evidence that when advertising conveys self-benefit appeals (vs other-benefit appeals), two-sided messages (vs one-sided messages) positively promote green consumption. Importantly, Study 2 concluded that perceived manipulative intent was the psychological mechanism underlying the interaction effects of green advertising benefit appeals and message sidedness. Studies 3 and 5 confirm that the power state plays a moderating role in these effects.
Research limitations/implications
This study contributes to the growing research on green marketing, especially green advertising, and advances the theoretical knowledge of how to match benefit appeal with message sidedness to promote green consumption effectively.
Practical implications
This study provides a more comprehensive understanding of consumer evaluations of green products under the influence of benefit appeals and message sidedness. The match between benefit appeal and message sidedness can promote green consumption. These findings can help marketers and policymakers promote green consumption by designing advertisements that match benefit appeal with message sidedness. When considering the power state’s impact, marketers should consider consumers’ high- or low-power states when selecting appropriate advertisement designs. Alternatively, they can manipulate the power state to optimise the effectiveness of advertisements.
Originality/value
Although previous research has focused on the difference in persuasiveness between self-benefit and other appeals, little is known about how to match green benefit appeals and message sidedness to heighten the persuasiveness of green advertising to consumers. Therefore, in this study, this paper attempts to fill this research gap by exploring how green benefit appeals and message sidedness match and how green advertising may produce better persuasion effects on green consumption.
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Jiyoung Kim, Kiseol Yang, Xin Zeng and Hwa-Ping Cheng
The purpose of this study is to investigate (1) how female blog users' perceived benefits (i.e. perceived usefulness, perceived enjoyment, community identification and perceived…
Abstract
Purpose
The purpose of this study is to investigate (1) how female blog users' perceived benefits (i.e. perceived usefulness, perceived enjoyment, community identification and perceived norm of reciprocity) influence their perceived social capital on fashion blogs, (2) the influence of structural social capital and cognitive social capital on users' relational social capital and (3) the influence of relational social capital on blog loyalty.
Design/methodology/approach
Structural equation modeling was performed using 530 useable data collected through an online survey.
Findings
The result indicated that perceived usefulness and the norm of reciprocity led to the development of cognitive social capital, while community identification and the norm of reciprocity led to the development of structural social capital. Cognitive and structural social capital both led to the development relational social capital, which in turn influenced blog loyalty.
Originality/value
This study provides insights for a fashion brand marketing strategy that uses fashion blogs to target relevant consumers. It helps firms to understand the factors that lead people to embed their resources in a blog and to learn how the different perceived benefits impact blog users' contributions to the community.
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Jane Boyd Thomas, Cara Okleshen Peters and Holly Tolson
Virtual communities are increasing in popularity and changing the way apparel fashion information is learned and shared by consumers. According to Agins, consumers, as opposed to…
Abstract
Purpose
Virtual communities are increasing in popularity and changing the way apparel fashion information is learned and shared by consumers. According to Agins, consumers, as opposed to élite designers, are now dictating fashion trends and pinpointing the ideal places of distribution. The purpose of this exploratory study is to examine the fashion‐related discussion which is taking place on perhaps the best known of these communities, MySpace.com. The three research questions driving this study include: “What are consumers saying about fashion within this particular virtual community?”; “What commonalities exist among the plethora of fashion‐related information available in this context?”; and “What kinds of insights can marketers draw from the categories of fashion‐related information being presented in MySpace.com?”
Design/methodology/approach
Content analysis was selected as the method for investigation. Within the forum Fashion and Style, the subgroup FashionLOVERS was selected for investigation because it represented a general discussion of fashion. The first 200 forum topical areas with five or more posts were selected for analysis. A total of 6,623 individual posts were examined and each of the three authors independently reviewed the posts noting the general topical categories of content. Interrater reliability for the coders was computed.
Findings
Eight recurring categories of fashion related information were identified in the study. The four most popular discussion categories were personal style, brands and designers, tips and advice, and retailers. The prevalence of these four topics suggests that consumer driven marketing is a growing and influential component of fashion marketing.
Research limitations/implications
This study makes an important contribution to the study of virtual communities. Results provide insight into the complex, multi‐layered, interactive fashion‐related communication that occurs within virtual communities.
Practical implications
Fashion marketers and retailers are encountering an untapped resource with these virtual communities. Findings highlight the power of consumers in virtual communities and suggest a need for fashion marketers and retailers to closely monitor communication within virtual communities.
Originality/value
This research is particularly valuable because it provides insight into the popular virtual community, MySpace.com. Detailed investigation into types of fashion information that are shared with community members is presented and discussed.
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Robert Davis, Bodo Lang and Neil Gautam
It is assumed that consumers consume games to experience hedonic and utilitarian value. However, there is no conceptual model or empirical evidence that supports this hypothesis…
Abstract
Purpose
It is assumed that consumers consume games to experience hedonic and utilitarian value. However, there is no conceptual model or empirical evidence that supports this hypothesis in the game context or clarifies whether these consumption values have dual mediated or individual effects. Therefore, the purpose of this research is to model the relationship between hedonic and utilitarian consumption and game purchase and usage.
Design/methodology/approach
This research question is answered through two studies. In Study One, qualitative interviews with 18 gamers were implemented to explore the relationship between hedonic and utilitarian consumption and, game purchase and usage behaviour. In Study Two, we surveyed 493 consumers and conducted confirmatory factor analysis and structural equation modelling across four game types to model this relationship.
Findings
The paper concludes that hedonic rather than utilitarian consumption positively impacts purchase and usage. Support was also found for the utilitarian‐hedonic dual mediation model (UHDM). Therefore, utilitarian consumption has an indirect causal effect on game purchase or usage through hedonic consumption.
Practical implications
Game development for consumers online, on wireless devices and on consoles should place greater emphasis on the practical implications of hedonic consumption. Attention could be focused on perceived enjoyment, self‐concept, self‐congruity and self‐efficacy as the primary drivers of use and purchase. Practical solutions should also be developed to develop the UHDM effect.
Originality/value
This is the first paper in the game context to explore and model the relationship between hedonic, utilitarian consumption and the UHDM effect on game purchase and usage. This paper is also unique because it provides results across four game groups: all games (ALL), Sports/Simulation/Driving (SSD), Role Playing Game/Massively Multiplayer Online Role‐Playing Game Strategy (RPG), and Action/Adventure/Fighting (AAF).
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Qianwen Sun and Liqun Xu
Drawing on signaling theory and social capital theory, this study aims to examine the underlying mechanisms and contingencies of the relationships between social capital (SC) and…
Abstract
Purpose
Drawing on signaling theory and social capital theory, this study aims to examine the underlying mechanisms and contingencies of the relationships between social capital (SC) and collaboration in buyer-supplier relationships (BSRs). This is achieved by evaluating the mediating effect of psychological contract fulfillment (PCF) and the moderating roles of guanxi orientation and market uncertainty.
Design/methodology/approach
The current study used a survey method to collect data from 271 buyers in China. Structural equation modeling (SEM) and moderated regression analysis were applied to examine the hypotheses.
Findings
The positive effect of structural and relational SC on buyers’ collaborative behaviors is partially mediated by buyers’ PCF. In contrast, the positive effect of cognitive SC on collaboration is fully mediated by buyers’ PCF. Guanxi orientation strengthens the indirect effect of buyers’ PCF on the cognitive SC-collaboration relationship and relational SC-collaboration relationship. Market uncertainty amplifies the relational SC-collaboration relationship.
Originality/value
Prior studies have presented mixed evidence of the effect of SC on collaboration and have paid little attention to the underlying mechanisms and conditions moderating the effect. This research proposes a theoretical model that integrates signaling theory and social capital theory to explore how three dimensions of SC can enhance buyer collaboration through buyers’ PCF under different levels of guanxi orientation and market uncertainty.
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Yanghong Li, Yahao Wang, Zhen Li, Lv Yingxiang, Jin Chai and Erbao Dong
This paper aims to design a deep reinforcement learning (DRL)-based variable impedance control policy that supports stability analysis for robot force tracking in complex…
Abstract
Purpose
This paper aims to design a deep reinforcement learning (DRL)-based variable impedance control policy that supports stability analysis for robot force tracking in complex geometric environments.
Design/methodology/approach
The DRL-based variable impedance controller explores and pre-learns the optimal policy for impedance parameter tuning in simulation scenarios with randomly generated workpieces. The trained results are then used as feedforward inputs to improve the force-tracking performance of the robot during contact. Based on Lyapunov’s theory, the stability of the proposed control policy is analysed to illustrate the interpretability of the results.
Findings
Simulations and experiments are performed on different types of complex environments. The results show that the proposed method is not only theoretically feasible but also has better force-tracking effects in practice.
Originality/value
Compared with most other DRL-based control policies, the proposed method possesses stability and interpretability, effectively avoids the overfitting phenomenon and thus has better simulation-to-real deployment results.
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ROY RADA, JUDITH BARLOW, JAN POTHARST, PIETER ZANSTRA and DJUJAN BIJSTRA
A thesaurus may be viewed as a graph, and document retrieval algorithms can exploit this graph when both the documents and the query are represented by thesaurus terms. These…
Abstract
A thesaurus may be viewed as a graph, and document retrieval algorithms can exploit this graph when both the documents and the query are represented by thesaurus terms. These retrieval algorithms measure the distance between the query and documents by using the path lengths in the graph. Previous work with such strategies has shown that the hierarchical relations in the thesaurus are useful but the non‐hierarchical relations are not. This paper shows that when the query explicitly mentions a particular non‐hierarchical relation, the retrieval algorithm benefits from the presence of such relations in the thesaurus. Our algorithms were applied to the Excerpta Medica bibliographic citation database whose citations are indexed with terms from the EMTREE thesaurus. We also created an enriched EMTREE by systematically adding non‐hierarchical relations from a medical knowledge base. Our algorithms used at one time EMTREE and, at another time, the enriched EMTREE in the course of ranking documents from Excerpta Medica against queries. When, and only when, the query specifically mentioned a particular non‐hierarchical relation type, did EMTREE enriched with that relation type lead to a ranking that better corresponded to an expert's ranking.