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1 – 10 of 116Amit Rakesh Sethi, Satyabhusan Dash, Abhishek Mishra and Dianne Cyr
Online customer communities have become a strategic tool for business-to-business (B2B) firms to drive collaboration among customers around the company’s products and services…
Abstract
Purpose
Online customer communities have become a strategic tool for business-to-business (B2B) firms to drive collaboration among customers around the company’s products and services. This paper aims to argue that the three social capital dimensions, that is, structural, relational and cognitive, themselves driven by brand community trust, can affect brand loyalty for the organization.
Design/methodology/approach
The authors use a survey to collect data and structural equation modeling to test the conceptual framework by collecting data from 214 participants across three online B2B communities operated by three technology firms in India.
Findings
Brand community trust is found to have a strong association with social network ties, identification and norm of reciprocity and shared vision. These three have concomitant effects on the quality of customer-to-customer (C2C) interactions. Such communication generates functional, emotional and social benefits, which, in turn, curate brand loyalty.
Practical implications
The authors’ findings guide community managers in leveraging such conversations in shaping customer loyalty for the corporate brand.
Originality/value
This work provides an integrated framework to explain the important role of C2C interactions in B2B online brand communities.
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This study explores the creation of online brand relationships from the personal, social and brand perspectives of social media and its influence on the community citizenship…
Abstract
Purpose
This study explores the creation of online brand relationships from the personal, social and brand perspectives of social media and its influence on the community citizenship behavior to establish an integrative model. With social identity theory (SIT) and the theory of socially shared cognition (TSSC) as the theoretical basis for model integration, this study identifies the key factors that maintain the relationship between online community members and brands and prompt brand members to establish a close emotional connection with the brand and generate community citizenship behavior for the brand.
Design/methodology/approach
This study examines community members who own products from luxury fashion brands (e.g. Louis Vuitton, Chanel and Hermès) and have followed the official Instagram account of the luxury fashion brand for at least 1 year, with a total of 582 valid samples. Structural equation modeling (SEM) is used to test the model.
Findings
All except for one of the hypotheses are supported, and the theoretical model exhibits acceptable goodness-of-fit. The strongest effect is that of brand community identification on affective brand commitment, followed by that of online co-creation on community citizenship behavior and that of brand commitment on community citizenship behavior.
Originality/value
SIT was used as the basis and extended to the TSSC to integrate the theoretical perspectives. This study identifies the online brand relationship between service providers and consumers, explores possible causes and consequences from multiple perspectives and proposes conclusions and practical management implications as references for marketing personnel.
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Martin Lnenicka, Mariusz Luterek and Lorraine Tinashe Majo
Benchmarking e-government and digital society developments using relevant indicators provides crucial insights into what aspects to consider while building a resilient digital…
Abstract
Purpose
Benchmarking e-government and digital society developments using relevant indicators provides crucial insights into what aspects to consider while building a resilient digital society in which digital public services are delivered effectively and sustainably. The purpose of this paper is to analyse selected indices and indicators over the years and provide findings and recommendations on what indicators contribute most to the development.
Design/methodology/approach
A mixed research approach was used to conduct the research and collect, analyse and interpret data. A qualitative analysis involving the search, decomposition and comparison approaches to identify e-government and digital society reports, indices, rankings and indicators was followed by a quantitative analysis comprising of regression and cluster analyses.
Findings
The findings revealed that changes in the mix of indicators used by e-government and digital society indices can be attributed to advances in ICT and channels through which people communicate and receive information. The authors found that digital and telecommunication infrastructures and the quality of their parameters such as broadband have the biggest influence on progress of the e-government and digital societies developments and contribute most to clustering of the EU member states into groups.
Originality/value
The paper provides insights into how the structures of related indices changed over the years and how different indicators contribute to benchmarking of e-government and digital society developments by means of their weights. It provides governments with recommendations on which indicators to focus most.
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Wang Qing, Asif Ali Safeer and Muhammad Saqib Khan
This paper aims to examine the influence of social media communications, particularly firm-generated content (FGC) and consumer-generated content (CGC) on predicting consumer…
Abstract
Purpose
This paper aims to examine the influence of social media communications, particularly firm-generated content (FGC) and consumer-generated content (CGC) on predicting consumer purchase decisions (CPD) through the lens of perceived brand authenticity (PBA). This paper also investigates the moderating influence of brand prestige (BP) and brand familiarity in the luxury hotel sector.
Design/methodology/approach
This study collected data from 390 consumers who were regularly using social media platforms, traveled frequently and stayed in luxury hotels. Following stringent data filtering, 371 responses were analyzed via structural equation modeling.
Findings
The findings indicate that FGC and CGC significantly strengthened PBA. However, CGC was the effective driver that directly influenced CPD. Likewise, PBA directly and indirectly substantially impacted CPD. Finally, BP’s direct and moderating effects significantly influenced CPD in the luxury hotel sector.
Originality/value
This novel study contributes to signaling theory, social media communications and branding literature in the luxury hotel sector.
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Xiayu Chen, Shaobo Wei, Ruolin Ding and Yanrui Li
Based on uncertainty reduction theory, this study explores how perceived information transparency mitigates users' perceived uncertainty, which in turn influences their actual…
Abstract
Purpose
Based on uncertainty reduction theory, this study explores how perceived information transparency mitigates users' perceived uncertainty, which in turn influences their actual purchase behavior. In addition, the moderating effects of cultural tightness on the relationship between perceived information transparency and perceived uncertainty are also considered.
Design/methodology/approach
Users with the shopping experience on Xiaohongshu are invited to participate in the survey. Finally, 355 valid longitudinal data are collected.
Findings
The results indicate that the three dimensions of perceived information transparency (i.e. perceived product transparency, perceived seller transparency and perceived transaction transparency) can reduce users' perceived uncertainty significantly. Besides, the negative impacts of perceived product and seller transparency on users' perceived uncertainty are stronger when cultural tightness is higher. However, cultural tightness does not moderate the relationship between perceived transaction transparency and users' perceived uncertainty.
Originality/value
First, the authors' research extends the uncertainty reduction theory to the context of social commerce. Second, the authors' research explores the boundary condition under which perceived information transparency varies by identifying cultural tightness as the moderator of the relationship between perceived information transparency and uncertainty. Third, the authors' research enriches the understanding of the cultural tightness of China.
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Arunpreet Singh Suali, Jagjit Singh Srai and Naoum Tsolakis
Operational risks can cause considerable, atypical disturbances and impact food supply chain (SC) resilience. Indicatively, the COVID-19 pandemic caused significant disruptions in…
Abstract
Purpose
Operational risks can cause considerable, atypical disturbances and impact food supply chain (SC) resilience. Indicatively, the COVID-19 pandemic caused significant disruptions in the UK food services as nationwide stockouts led to unprecedented discrepancies between retail and home-delivery supply capacity and demand. To this effect, this study aims to examine the emergence of digital platforms as an innovative instrument for food SC resilience in severe market disruptions.
Design/methodology/approach
An interpretive multiple case-study approach was used to unravel how different generations of e-commerce food service providers, i.e. established and emergent, responded to the need for more resilient operations during the COVID-19 pandemic.
Findings
SC disruption management for high-impact low-frequency events requires analysing four research elements: platformisation, structural variety, process flexibility and system resource efficiency. Established e-commerce food operators use partner onboarding and local waste valorisation to enhance resilience. Instead, emergent e-commerce food providers leverage localised rapid upscaling and product personalisation.
Practical implications
Digital food platforms offer a highly customisable, multisided digital marketplace wherein platform members may aggregate product offerings and customers, thus sharing value throughout the network. Platform-induced disintermediation allows bidirectional flows of data and information among SC partners, ensuring compliance and safety in the food retail sector.
Originality/value
The study contributes to the SC configuration and resilience literature by investigating the interrelationship among platformisation, structural variety, process flexibility and system resource efficiency for safe and resilient food provision within exogenously disrupted environments.
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Ying Zhou, Yuqiang Zhang, Fumitaka Furuoka and Sameer Kumar
Social commerce (s-commerce) has gained widespread popularity as a social platform where customers engage in resource-sharing activities such as information exchange…
Abstract
Purpose
Social commerce (s-commerce) has gained widespread popularity as a social platform where customers engage in resource-sharing activities such as information exchange, advice-seeking and expressing their opinions on mutual interests. However, existing studies have not fully comprehended the drivers of electronic customer-to-customer interaction (eCCI) and how such behavior contributes to the customer “stick” on s-commerce sites. This study develops the Motivation–Opportunity–Ability (MOA) theory and investigates the impact of MOA factors on eCCI, which in turn affects customer stickiness.
Design/methodology/approach
A survey was used to acquire data from 455 valid respondents, and the research employed a combination of fuzzy-set qualitative comparative analysis (fsQCA) and structural equation modeling.
Findings
The results revealed associations between perceived self-efficacy, intrinsic motivation, tie strength with other customers, eCCI and customer stickiness.
Originality/value
Considering the limited availability of complete eCCI frameworks in existing scholarly works, the authors present valuable perspectives on the role of consumer characteristics as both antecedents and consequences of eCCI. Additionally, this study proposes a research agenda for the field of eCCI on s-commerce sites.
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Sebastian Uhrich, Reinhard Grohs and Joerg Koenigstorfer
Social factors, such as fellow spectators in a stadium or other fans sharing their experiences on online platforms, play a dominant role in spectator sport consumption. This…
Abstract
Purpose
Social factors, such as fellow spectators in a stadium or other fans sharing their experiences on online platforms, play a dominant role in spectator sport consumption. This conceptual article sets out to achieve three objectives: classify customer-to-customer (C2C) interactions in the sport fan context, develop a framework that links the classification of interactions to relevant outcomes and identify areas for related future research.
Design/methodology/approach
The authors integrate conceptual and empirical contributions on C2C interactions in the service, marketing and sport management literature.
Findings
The article proposes classifying C2C interactions into synchronous multi- and uni-directional interactions as well as asynchronous multi- and uni-directional interactions. The C2C interaction framework (C2CIF) proposes that such C2C interactions have hedonic, social, symbolic and utilitarian value outcomes. It further suggests that physiological, psychological and social processes underlie the co-creation or co-destruction of value and identifies contingencies at both the fan and the brand level.
Originality/value
Based on the C2CIF, we identify relevant topics for future research, in particular relating to technology-supported and virtual interactions among fans, fan-to-fan interactions across different countries and cultural backgrounds and fan-to-fan interactions as a way to reduce societal concerns.
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Jia Jin, Yi He, Chenchen Lin and Liuting Diao
Social recommendation has been recognized as a kind of e-commerce with large potential, but how social recommendations influence consumer decisions is still unclear. This paper…
Abstract
Purpose
Social recommendation has been recognized as a kind of e-commerce with large potential, but how social recommendations influence consumer decisions is still unclear. This paper aims to investigate how recommendations from different social ties influence consumers’ purchase intentions through both behavior and brain activity.
Design/methodology/approach
Utilizing behavioral (N = 70) and electroencephalogram (EEG) (N = 49) experiments, this study explored participants’ behavior and brain responses after being recommended by different social ties. The data were analyzed using statistical inference and event-related potential (ERP) analysis.
Findings
Behavioral results show that social tie strength positively impacts purchase intention, which can be fitted by a logarithmic model. Moreover, recommender-to-customer similarity and product affect mediate the effect of tie strength on purchase intention serially. EEG findings show that recommendations from weak tie strength elicit larger N100, N200 and P300 amplitudes than those from strong tie strength. These results imply that weak tie strength may motivate individuals to recruit more mental resources in social recommendation, including unconscious processing of consumer attention and conscious processing of cognitive conflict and negative emotion.
Originality/value
This study considers the effects of continuous social ties on purchase intention and models them mathematically, exploring the intrinsic mechanisms by which strong and weak ties influence purchase intentions through recommender-to-customer similarity and product affect, contributing to the applications of the stimulus-organism-response (SOR) model in the field of social recommendation. Furthermore, our study adopting EEG techniques bridges the gap of relying solely on self-report by providing an avenue to obtain relatively objective findings about the consumers’ early-occurred (unconscious) attentional responses and late-occurred (conscious) cognitive and emotional responses in purchase decisions.
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Gongli Luo, Junying Hao and He Ma
Corporate philanthropy is increasingly a vital decision-making basis for consumers to purchase and establish relationships with enterprises. However, few studies have examined…
Abstract
Purpose
Corporate philanthropy is increasingly a vital decision-making basis for consumers to purchase and establish relationships with enterprises. However, few studies have examined corporate philanthropy from the perspective of community evolution. To address this gap, this study aims to provide a more in-depth and holistic investigation of corporate philanthropy by examining the evolution of social media brand communities caused by corporate philanthropy and the characteristics of consumer interactive behavior.
Design/methodology/approach
Web crawlers developed by Python were employed to collect data of ERKE from Sina Weibo (the Chinese equivalent of Twitter). A total of 2,736 posts and 7,774 comments were collected and investigated using social network and sentiment tendency analyses.
Findings
The results showed that the evolution of the social media brand community presented a prominent three-stage characteristic influenced by corporate philanthropy. The findings not only support the benefits of corporate philanthropy but also show the possible disadvantages. Besides, this study further concluded the characteristics of consumer interactive behavior in the social media brand community.
Originality/value
This paper addresses an attractive and practical issue related to the impact of corporate philanthropy. Moreover, this study is one of the first studies to examine the impact of corporate philanthropy in the context of the social media brand community. The findings of this study will provide a valuable reference for community operations and practitioners of brands.
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