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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.

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.

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.

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.

In the pursuit of co-exploration, the strength and brokerage dimensions of dyadic ties create a novelty–action trade-off: tie strength facilitates coordination but constraints novelty, while tie brokerage expands knowledge diversity but aggravates coordination difficulty. This study contributes towards a better understanding of this tension by comparing two dimensions of relational ties and examining their contingent values given different environmental factors and exchange characteristics.

The authors used survey data from 194 matched buyer–supplier dyads in China's high-tech industries and employed hierarchical moderated regression analysis to test the proposed hypotheses.

The authors find that compared with tie strength, tie brokerage has a stronger positive effect on co-exploration. Moreover, guanxi importance amplifies the effect of tie strength while decreasing the value of tie brokerage. As market uncertainty increases, the role of tie brokerage becomes more salient. Additionally, tie strength becomes less effective when buyer centralization is high, whereas tie brokerage exerts a stronger impact on co-exploration when an exchange is highly formalized.

This study contributes to the supply chain literature by adopting a relational perspective to integrate relational ties into the study of buyer–supplier co-exploration and by elaborating on the different implications of tie strength and tie brokerage in resolving the novelty–action trade-off. Furthermore, it provides a more nuanced understanding of when distinct dimensions of relational ties are effective, by clarifying boundary conditions in terms of environmental factors and exchange characteristics.

The purpose of this paper is to predict tie strength using profile similarities and interaction data between users, and thus distinguish between strong and weak relationships on social network sites (SNSs).

This study developed a program and an online questionnaire to collect the data set from Facebook, and then integrated that data set with a subjective data set consisting of participants’ opinions of the strength of their friendships on Facebook. The model developed here for predicting tie strength performed well when was applied on a data set of 6,477 SNSs’ ties, distinguishing between strong and weak ties with over 50 percent accuracy.

The results developed an algorithm (predictive model) that quantifies and measures tie strength continuously to bridge the gap between theory and practice. The results found that the variables in the dimension of emotional intensity had stronger effects than other interaction variables.

This study developed a predictive model that helps explain the meaning of interaction on SNSs, providing an efficient method to examine tie strength on SNSs. The tie strength estimates can also be used to improve the range and performance of various aspects of SNSs, including link predictions, product recommendations, newsfeeds, people searches, and visualization. Such understanding of the structure of SNSs might lead ultimately to the design of algorithms that can detect trusted or influential users of SNSs.

Most studies on tie strength have focused on its definition, calculation and applications, but have not paid much attention to how tie strength can help analyse online social networks. Because ties play different roles in a network depending on their strength, the purpose of this paper is to explore the relationship between tie strength and network behaviours.

The authors propose a simple metric for tie strength measurement and then apply it to an online social network extracted from a blog network. These networks are massive in size and have technology for efficient data collection, thereby presenting the possibility of measuring tie strength objectively. From the results several key social network properties are studied to see how tie strength may be used as a metric to explain certain characteristics in social networks.

The online networks exhibit all the structural properties of an actual social network, not only in following the power law but also with regard to the distribution of tie strength. The authors noted a strong association between tie strength and reciprocity, and tie strength and transitivity in online social networks.

This paper highlights the importance of analysing online social networks from a tie strength perspective. The results have important implications for the development of efficient search mechanisms and appropriate group leaders in virtual communities.

The purpose of this paper is to examine the impact of governance modes (trust and unilateral control) on new product development (NPD) performance and the mediating role of tie strength.

Survey research was conducted to collect data from 112 NPD relationships and structural equation modeling was conducted to test the hypotheses.

The results suggest that the trust and tie strength are positively related, while unilateral control and tie strength are negatively related. On the other hand, tie strength is positively related to NPD performance. Results also show that the impact of trust and unilateral control on NPD performance are mediated by the tie strength.

This study enhances the understanding of NPD relationships by examining the key modes of governance through which tie strength and NPD performance are influenced.

Primarily, the purpose of this paper is to investigate the interaction and direct effects of tie strength between sender and receiver of word of mouth (WOM) and the receiver’s service purchase decision involvement on WOM influence. A secondary aim is to investigate how a distinctive conceptualization of perceived risk, consisting of two types (outcome risk and psychosocial risk), affects service purchase decision involvement. A conceptual model incorporating these constructs and associated hypotheses is developed and tested.

In a survey of actual service consumers, respondents were asked to recall a recent instance where they had received service purchase information via WOM, and relate their responses to this instance. Established scales were used to measure the constructs. The hypothesized model was tested using structural equation modeling.

Principally, findings demonstrate a strong interaction effect between service purchase decision involvement and tie strength. Also, results highlight the complexity of the perceived risk construct, suggesting that it is appropriately modeled as two types: outcome risk, and psychosocial risk.

This research has contributed to the service marketing literature by testing a model that predicts WOM influence. Evidence confirmed that the effect of service purchase decision involvement on WOM influence is moderated by tie strength. Additionally, a conceptualization of two different types of risk associated with purchase decisions was suggested, together with empirical confirmation of their hypothesized antecedent effects on service purchase decision involvement. Findings have special implications for the literatures of persuasion, social and interpersonal influence, as well as consumer behavior in general.

To harness the power of WOM, managers should understand who their target audience is and how consumers are related to each other (tie strength) and to the service purchase decision (service purchase decision involvement). Recommendations are made with specific illustrations of how firms can leverage tie strength under conditions of low service purchase decision involvement to enhance WOM influence.

The formidable power of WOM wields substantial influence on consumers, particularly within a service (vs goods) purchase context, typically characterized by higher perceived risk and lower search qualities. The significant interaction between tie strength and service purchase decision involvement is a unique contribution to the service WOM literature.

This paper aims to examine the role of Facebook friends on the intention to join brand pages in this social network site (SNS). SNSs have grown in both popularity and use. They allow individuals to articulate their social networks by developing a list of other members on the site with whom they share a connection. These platforms also allow companies to create profiles to promote their brands. However, many firms have jumped into SNSs by creating a “brand page” without fully understanding how to spread it successfully.

Two experiments were developed. In the first one, the authors manipulated how the individual comes to know about brand pages. Participants discovered a brand page through a friend with whom they have either a strong tie or a weak tie. In the second experiment (2 × 2), the authors manipulated tie strength (strong vs weak) and the type of recommendation (active vs passive).

Results of the first study show that as the individual has more experience in Facebook (measured in this paper through satisfaction, past behavior of following brands and Facebook intensity), the effect of tie strength on the intention to join a brand page dilutes. The second study confirms Study 1 and shows that strong ties exert more influence than weak ties when the brand page is actively recommended by Facebook friends.

This paper shows that the influence of strong ties is particularly important for individuals with low levels of experience in Facebook. As experience in SNSs is expected to continue growing, managers should not forget the role of weak ties as a source of information for their networked friends. Strong ties only remain more influential than weak ties when the information about the brand page is received through an invitation.

This paper explores the interpersonal influences in Facebook, asserting that the influence of tie strength depends on the level of experience in the SNS, and on the way, information about the brand page is received.

The purpose of this paper is to research the effect of uncertain rewards on the recommendation intention in referral reward programs (RRPs) and investigate the interaction of tie strength and reward type on the recommendation intention.

The research adopts a quantitative exploratory approach through the use of experiments. Study 1 adopted a 2×2 between-participants design ((reward type: certain reward vs uncertain reward)×(tie strength: strong tie vs weak tie)). Respectively, by manipulating uncertain probabilities and expected value, Studies 2 and 3 further explore the effect of uncertain rewards and tie strength on customers’ referral intention.

This paper finds the following: compared to certain rewards, customers’ referral intention under uncertain rewards is higher and positive experience has a mediating effect between reward type and recommendation intention; when only the recommender is rewarded, the tie strength between the recommender and the receiver moderates the effect of reward type on the recommendation intention; for strong ties, customers’ recommendation intention is higher in uncertain reward condition, but for weak ties, customers’ willingness to recommend is almost the same in both reward types; when both the recommender and the receiver are rewarded, although certain rewards have a higher expected value than uncertain and random rewards, for strong ties, the participants have a higher referral intention under random rewards than that under uncertain rewards, which have a higher referral willingness than that under certain rewards. Additionally, for weak ties, the reverse is true.

The research has both theoretical implications for research on uncertain rewards and tie strength and practical implications for marketing managers designing and implementing RRPs.

In innovation networks, firm innovation performance is affected by external tie strength and internal knowledge absorptive capacity. This study aims to empirically examine the path relationship between tie strength, absorptive capacity and firm innovation performance in Chinese manufacturing industries, thus enhance our understanding on the mechanism between innovation network and innovation performance.

The authors have conducted a survey among Chinese manufacturers in four industries (textile and garment, household appliance, IT and electronics and motor vehicle assemblers) that are located in North, East, Central and South China, respectively, with a valid response from 278 manufacturers. Structural equation model is used to analyze the results.

This study demonstrates that in Chinese Manufacturing industry, tie strength is positively related to innovation performance. The authors also find that absorptive capacity has a positive impact on innovation performance and it mediates the relationship between tie strength and innovation performance. Then, the authors analyze the effect of ownership, industry and sub-region, and the results show that in private firms and traditional manufacturers, and the firms located in North and Eastern China, tie strength has no direct effect on innovation outcomes, but it can influence innovation indirectly through absorptive capacity.

This study further supports that in Chinese guanxi culture, strong ties with other innovation partners can improve the firm’s absorptive capacity and thus improve innovation performance. The results also suggest that a firm’s absorptive capacity has a significant mediating effect on the relationship between tie strength and innovation performance.

This paper aims to investigate whether the interactional effects of recommendation valence, tie strength and service type produce different effects on attitude and buying intention in a social networking context.

A 2 × 3 × 3 between-subject experiment was carried out, involving 616 participants, and MANOVA was used to test hypotheses.

The interactions of valence by tie strength and valence by service type affect attitude, but not intention. The review valence × tie strength × service type interaction influences both attitude and intention, and its effect on intention is fully mediated by attitude.

Negative recommendations for credence and experiential services communicated by individuals with no-tie relationships have a strong negative effect on attitude. However, positive recommendations from strong and weak ties for search and experience services are more influential than recommendations from no ties for credence services.

The results are explained by using cue sufficiency theory, which suggests that a single extreme cue serves as a defining feature.