Managing social media recovery: The important role of service recovery transparency in retaining customers

This research examines the influence of service recovery transparency on customer forgiveness to retain customers in the context of service recovery via social media. We propose that customer forgiveness mediates the effect of service recovery transparency on switchover intentions. We further posit that the effect of service recovery transparency on customer forgiveness is moderated by two additional recovery strategies, i.e., apology and explanation. The results of two studies, i.e., a survey and a scenario-based experiment, show that service recovery transparency acts to elicit customer forgiveness, which subsequently negatively affects switchover intentions. Furthermore, both apology and explanation moderate the effect of service recovery transparency on customer forgiveness. The positive effect of service recovery transparency on customer forgiveness is attenuated when an apology/explanation is absent.     

Entrepreneurial orientation,market orientation,network ties,and performance: Study of entrepreneurial firms in a developing economy

Entrepreneurial orientation (EO), market orientation (MO) and network ties are typically modeled as separate antecedents of performance. However, the boundary conditions for such models are under-explored, as is their applicability to developing economy settings. Accordingly, drawing on institutional and social capital theories, the current paper argues that the performance benefits of EO and MO are complementary, and vary across different levels of social and business network ties. Using primary data gathered from entrepreneurial firms operating in Ghana, the study findings indicate that aligning high levels of EO and MO improves business performance, and particularly so when social and business network ties are well developed, since under these latter conditions, the performance benefits of aligning EO and MO are greatest.     

The role of network embeddedness across multiple social networks: Evidence from mobile social network games

This article examines peer influences from network relationships within a social network game (i.e., embeddedness) and across such games (i.e., multiplexity). Drawing on social influence theory, we develop a bivariate Poisson model of users’ repeated visits and latent attrition that accommodates peer interaction after controlling for homophily. We estimate the model using data from two social network games with considerable overlap among network members. We find that friends who are only multiplex across games exert greater peer influence on users’ game visits than members who are embedded within a single game. We also determined that ignoring network multiplexity across games may lead firms to mistarget users due to biased peer influences of embedded friends. This result provides an unresearched explanation—strength of peer influence—for the mixed findings in previous literature on network embeddedness. We utilized our results to conduct several scenario analyses to demonstrate how firms can effectively manage users’ engagement and target users in multiple social network games.     

Feel the VIBE: Examining value-in-the-brand-page-experience and its impact on satisfaction and customer engagement behaviours in mobile social media

A critical issue for marketing managers is how best to orchestrate branded social media consumption experiences via mobile applications. This is important because in a mobile first world, these experiences are perceived to be valuable to consumers which in turn facilitate positive consumer behaviour toward the brand. So far, marketing literature offering managerial guidance on this issue remains limited. To this end, this study investigates for the first-time consumer perceptions of ‘Value-In-The-Brand-Page-Experience’ (VIBE), a multidimensional construct, in an emerging market setting of China. China represents an appropriate contextual condition to study given its high mobile penetration and its integration within consumer's lifestyle. This study further examines the impact of VIBE on customer satisfaction and customer engagement behaviours toward the brand via a survey of 714 Chinese consumers. The results substantiate the VIBE framework which contributes to the sparse conceptual development of value perceptions in mobile social media. Furthermore, it confirms the existence of a value–satisfaction–customer engagement behaviour chain. The findings are managerially relevant and focus on leveraging the components of VIBE. These components act as key mechanisms for unlocking customer satisfaction and customer engagement behaviours for brands in the domain of mobile social media.     

Exploring the antecedents of social liabilities in CVC triads—A dynamic social network perspective

This study addresses the emergence of social liabilities by taking a social network perspective on intra- and interorganizational network configurations using the hitherto unexplored example of the corporate venture capital (CVC) triad (CVC unit, corporate business unit, and portfolio company). We investigate social capital and social liability resulting from network formation and transformation and assess their impact on interorganizational knowledge transfer and creation. Examining 12 CVC triads in Germany, we identify new antecedents of social liability, show that social capital can initially facilitate knowledge transfer and creation, and that structural and personal lock-ins may eventually turn that capital into a liability. We make key theoretical contributions to the social network and CVC literature.     

Historical social network analysis: Advancing new directions for international business research

Despite repeated calls for incorporating history in IB research, progress has been slow. The few existing IB studies utilizing historical approaches have relied mostly on historical narrative approaches. In addition, there is little methodological guidance on how to use historical methodologies in IB research. This article will highlight a growing methodological approach for consideration, one that demonstrates intersections across multiple disciplines through use of varied techniques, historical analysis and social network analysis (SNA) and source-bases (varied archival sources). This study will demonstrate the richness obtained from utilising historical source collections and the additional perspectives on transnational networks that can be obtained from analysing networks over longer periods. Specifically, we argue that the use of historical mixed methods SNA is suitable in addressing calls for contextual, longitudinal, multilevel, and processual explanations of IB phenomena.     

Proposal for modeling social robot acceptance by retail customers: CAN model + technophobia

Acceptance of social robots (SRs) in retail is a new field of research in marketing arising from the dilemma between the potential benefits of SRs and the possibility that shoppers will reject them. The main aim of this paper is to advance in the modeling of new technology (NT) acceptance by proposing an extension of the integrative Cognitive-Affective-Normative (CAN) model that improves its explanatory and predictive power by including technophobia (TE) with a view to understanding SR acceptance in retail. The CAN + TE model is tested with a sample of 1069 individuals, resulting in an R² of 0.73, surpassing the explanatory power of classical models. Emotions – specifically, pleasure – and TE are found to be the biggest drivers of SR acceptance for retail customers, followed by performance expectancy and social influence. Arousal and effort expectancy have no significant effect. These findings have theoretical implications for NT modeling and practical implications for reviving retail – which has been hit hard by the pandemic – opening research lines in both contexts related to the future of SRs.     

Exploring the drivers of customer engagement behaviours in social network brand communities: towards a customer-learning model

Customer learning is regarded as a process that alters either individual cognition or the outcomes of socialisation. Understanding how the learning process works enables a brand firm to identify a customer’s latent needs. Prior studies have primarily focused on effectively positioning brand knowledge in the minds of customers, but that linear learning process does not apply to the interactive and proactive social media setting. Based on the uses and gratifications perspective, this study proposes a customer-learning model and analyses 373 online questionnaires using partial least squares structural equation modelling. The empirical results confirm that learning motivation and collaborative learning are two core components of customer learning that have positive influences on satisfaction, which in turn has a positive influence on customer engagement behaviours (CEBs) and loyalty. In addition, learning motivation is the driver of collaborative learning. Finally, CEBs also have a positive influence on loyalty. This study also concludes that the social network brand community is an informative customer-learning platform that is characterised by interactivity, collaborative learning and co-creation. Theoretical and managerial implications are also discussed.     

Strategy for New Product Development

Abstract

This study evaluates the reasons why new products fail, and recommends a Strategy for New Product Development to avoid such failures. Using a sample of four products, the Ford Edsel, Coca-Cola's New Coke, the Sony Betamax, and the RCA Videodisc, where the introduction of a new product was unsuccessful, as research data, it is determined that the most common reasons for a products failure are poor planning, poor management, poor concept, poor execution, poor use of research, poor technology, and poor timing. A recommended strategy for successful new product development includes a sound concept, an environmental assessment, management and planning, technological feasibility, research, quality assurance, and customer feedback.     

Midstream value creation in social marketing

ABSTRACT

The purpose of this study is to develop improved understanding of how value is created at the midstream (meso) level in a collaborative smoke-free homes and cars social marketing programme. The study adopts a qualitative approach including interviews and observation. The findings show that the co-creative organisational model adopted for the Smokefree programme affords access to resources and capabilities of midstream actors and provides opportunities for reshaping and mobilising existing value networks. The focal organisation has a key role in coordinating, connecting actors and providing resources to facilitate value co-creation at the network level. The study illustrates that the service interaction allowed for customer-centred cues for action which took into account their context and the existence/lack of resources for value creation. The implications of this study are discussed, in particular, in terms of the role of focal organisations in managing value networks, the social context, configurational fit and resources of actors involved in community-based social marketing and the need for policies and practices to provide health professionals with role support for health promotion.     

The influence of social capital on strategic choice: An examination of the effects of external and internal network relationships on strategic complexity

In this research we investigated the direct contributions of social capital via network involvement to the strategic complexity of firms. Specifically, we looked at three network types - trade associations, external personal networks, and internal personal networks - to assess their individual and collective effects on strategic complexity. We empirically tested the relationships in the rural telecommunications industry using a mailed survey to this population's CEOs. We obtained 203 responses (30% response rate). Using Poisson regression, we found that all three network types were positively associated with strategic complexity, which was measured as product portfolio breadth. We also discovered that initial conditions affected strategic outcomes, with larger firms and cooperative ownership associated with greater strategic complexity.     

Co-creating value for luxury brands

The global market for luxury brands has witnessed dramatic growth over the last two decades but the current challenging economic environment contributes to the difficulty brand owners experience in ensuring that customers perceive sufficient value in their luxury brands to compensate for the high prices. According to recent service-oriented research, customers and suppliers co-create value as a result of a shift from a firm- and product-centric view of value creation to one that focuses on personalized brand experiences. In this paper, the authors develop a theoretical framework of types of value for luxury brands, and use case study research to identify processes of value creation in this particular setting. The findings highlight the variety of interactions taking place between luxury brand owners, their customers and members of their respective networks, which help to differentiate luxury brands and co-create a superior value proposition.     

The use of social media to detect corporate fraud: A case study approach

Social media is a rapid and dynamic medium of communication that forms a crucial component of the modern business toolkit. It can be used to detect corporate fraud by tapping into collective user wisdom, also known as the wisdom of crowds. This article highlights both the potential and limitations of social media in detecting corporate fraud by examining information from traditional media and social media for a recent corporate fraud case (i.e., Empowered Products Inc.). Using text analysis of information posted on traditional media compared to social media, this article illustrates how social media provides an increased level of relevant information in a faster manner. By using wisdom of crowds in this way, social media platforms such as Twitter can improve organizational knowledge quality. We identify methods for managers to utilize social media to improve their organizational knowledge management.     

The role of trust and privacy concerns in using social media for e-retail services: The moderating role of COVID-19

The COVID-19 pandemic has disrupted the customers habits of purchasing as well as shopping behaviours. This study seeks to develop an integrated model of the critical role of trust and privacy concerns in influencing consumers purchase behaviour through social media. It also explored the moderating role of COVID-19 on these relationships. Quantitative data were collected using survey strategy through questionnaires to address different levels of the study. Our proposed model was tested with 1,200 consumers, 600 prior to COVID-19 and 600 during COVID-19. Partial Least Squares Structural Equation Modelling was conducted to assess the hypotheses. The findings revealed that purchase intention depends on trust and privacy concerns. Information quality, security concerns, ease of use, privacy/security assurance seal, and disposition to third party certification are the main drivers of trust and privacy concerns. Furthermore, our proposed model during COVID-19 period has higher explanator power (R2 = 0.741) than before COVID-19 period (R2 = 0.603 and consumers buying behaviour has been increased during COVID-19. The results offer important implications for retailers and are likely to stimulate further research in the area of purchase behaviour through social media.     

The effect of social networks structure on innovation performance: A review and directions for research

Research on growth of innovations introduced to the market has gradually shifted its focus from aggregate-level diffusion to exploring how growth is influenced by a given social network structure's characteristics. In this paper, we critically review this branch of literature. We argue that the growth of an innovation in a social network is shaped by the network's structure. Borrowing from the field of industrial organization in economics, which defines itself as the study of the effect of market structure on market performance, we describe this new wave of research on growth of innovations as the effect of social network structure on innovation performance. Hence, social network structural characteristics should be incorporated into research on new product growth as well as into managerial marketing decisions such as targeting and new product seeding.We review how social network structure influences innovations' market performance. Specifically, we discuss (1) a networks' global characteristics, namely average degree, degree distribution, clustering, and degree assortativity; (2) dyadic characteristics, or the relationships between pairs of network members, namely tie strength and embeddedness; (3) intrinsic individual characteristics, namely opinion leadership and susceptibility; and (4) location-based individual characteristics, namely the degree centrality, closeness centrality, and betweenness centrality of an individual network member.Overall, we find that growth is particularly effective in networks that demonstrate the “3 Cs”: cohesion (strong mutual influence among its members), connectedness (high number of ties), and conciseness (low redundancy). We identify gaps in current knowledge, discuss the implications on managerial decision making, and suggest topics for future research.     

Taking a global view on brand post popularity: Six social media brand post practices for global markets

Brand post popularity positively relates to consumers’ purchase intentions, actual sales, and stock prices. Research suggests that social media posts should be vivid, practical, interesting, personalized, and interactive. However, cross-cultural research also suggests that practices might not be equally effective across different regional markets. While vividness and practicality could be consistently important across cultures, characteristics of interest, personalization, and interactivity might need to be adapted to the cultural conditions of specific target markets. We consider how individualism/collectivism, long-term orientation, uncertainty avoidance, power distance, and high-context/low-context cultures could influence brand post effectiveness. We provide suggestions for how to manage social media brand post popularity from a cross-cultural perspective to inform both domestic and global social media marketing campaigns. Suggested practices include: (1) making brand posts engaging; (2) targeting the ‘I’ in individualistic cultures and the ‘we’ in collectivist cultures; (3) focusing on consumers’ identity in less long-term oriented cultures and on functional information in more long-term oriented cultures; (4) ensuring that posts help reduce uncertainty; (5) planning for one-way communication in higher power distance countries and two-way communication in lower power distance countries; and (6) making messages less direct in higher-context cultures and more direct in lower-context cultures.     

使用深度学习的社交物联网信任预测模型

社交物联网是社交网络概念在物联网中整合后兴起的一个蓬勃发展的研究领域。提出了一种适用于社交物联网网络的改进型节点级信任模型,并通过与其他信任模型的对比仿真实验证明在恶意节点的攻击下,提出的模型拥有更好的稳定性和适用性,总体波动较小。同时,针对实际社交物联网网络中新加入网络的陌生节点可能遇到的网络延迟影响信任值评估的问题,在改进型节点级信任模型的基础上进一步使用了深度学习模型对其进行信任值预测。仿真证明,使用深度学习预测后模型的系统性能明显优于不使用深度学习的模型,成功交互率提升约1.8%。