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Leveraging social network sites for new product launch · 2019-02-15 · 1 Leveraging Social Network Sites for New Product Launch Deborah Roberts, University of Nottingham, Nottingham

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Page 1: Leveraging social network sites for new product launch · 2019-02-15 · 1 Leveraging Social Network Sites for New Product Launch Deborah Roberts, University of Nottingham, Nottingham

Loughborough UniversityInstitutional Repository

Leveraging social networksites for new product launch

This item was submitted to Loughborough University's Institutional Repositoryby the/an author.

Citation: ROBERTS, D., CANDI, M. and HUGHES, M., 2017. Leveragingsocial network sites for new product launch. Industrial Management & DataSystems, 117(10), pp. 2400-2416.

Additional Information:

• This paper was accepted for publication in the journal Industrial Manage-ment & Data Systems and the definitive published version is available athttps://doi.org/10.1108/IMDS-11-2016-0472

Metadata Record: https://dspace.lboro.ac.uk/2134/24688

Version: Accepted for publication

Publisher: c© Emerald

Rights: This work is made available according to the conditions of the Cre-ative Commons Attribution-NonCommercial-NoDerivatives 4.0 International(CC BY-NC-ND 4.0) licence. Full details of this licence are available at:https://creativecommons.org/licenses/by-nc-nd/4.0/

Please cite the published version.

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Leveraging Social Network Sites for New Product Launch Deborah Roberts, University of Nottingham, Nottingham University Business School, UK Mathew Hughes, Loughborough University, School of Business and Economics, UK Marina Candi, Reykjavik University, School of Business, Iceland

Abstract Purpose – The ability to make use of social network sites (SNSs) to promote new products and

facilitate positive word of mouth around new product launch (NPL) presents an important

opportunity. However, the mechanisms and motivations of SNS users are not well understood

and businesses frequently fail to realize these opportunities. This paper examines some of the

forces that motivate people to spend time on SNS sites and how these motivations are related

with people’s propensity to engage in behaviours that can be beneficial for NPL.

Design/methodology/approach – Hypotheses are tested using data collected using an online

survey from a broad sample of SNS users worldwide.

Findings – People who spend time on SNSs to be challenged, to escape, or to connect with

others are more likely than other users to pay attention to advertisements on SNS. Users that

spend time on SNSs in the pursuit of information, to be challenged, or to connect with others

are more likely than other users to provide word of mouth reviews and recommendations about

products.

Research limitations/implications – The sample is comprised of 40% of Facebook users.

Practical implications – By understanding what motivates SNS users, firms can identify

potentially valuable users and develop a more strategic and targeted approach to NPL. This can

help firms turn disappointing social media campaigns into more successful ones.

Originality/value – This study provides new insights about the use of SNSs for NPL and what

motivates users to engage in behaviours that are beneficial to NPL.

Keywords – Social Media, New product launch, Social Networks, Motivation theory,

Advertising.

Paper type – Research paper

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Introduction New product launch (NPL) constitutes the final, and often very expensive, stage of the

innovation process. Successful NPL is a key driver of business performance (Bruce et al., 2007;

Di Benedetto, 1999; Hultink et al., 1997) and is vital to ensure income streams, and growth

(Pauwels et al., 2004). As such, it represents a major commitment in terms of the marketplace and

resource allocation (Hultink et al., 2000). However, despite the importance of NPL, research in

this area remains under-developed (Calantone & Di Benedetto, 2012), and the successful

introduction of new products to the market continues to be a key challenge for managers

(Kuester et al., 2012). Complicating this matter, it is not sufficient for new products to be

innovative and have a clear product advantage (Langerak et al., 2004; Henard & Szymanski,

2001); they also need to be communicated effectively and launched in innovative ways. Novel

opportunities to do so are rapidly emerging as new Internet-based technologies, and in particular

social network sites (SNSs) become an integral part of the innovation landscape. According to

Ainin et al. (2015), using platforms such as Facebook has become ‘a must’ for business. The

various SNS platforms differ in both their scope and functionality (Kane et al., 2014). Some

applications are largely text-based and relatively simple, whilst others, e.g. Facebook, enable

creativity and the sharing of text, pictures and videos (Kaplan & Haenlein, 2010).

Existing research has attempted to identify the determinants of successful NPL (Calantone & Di

Benedetto, 2007; Harmancioglu et al., 2009), and has focused primarily on the strategic and

tactical decisions undertaken (Hultink et al., 2000; Guiltinan, 1999; Di Benedetto, 1999). Tactical

decisions tend to focus on traditional elements of the marketing mix, such as how to price and

promote new products. However, other possibilities such as the use of SNSs for product launch

have received little attention to date–presumably because of their relatively recent emergence.

Many firms have rushed to SNSs in the hopes of profiting from the potential opportunities

afforded. Similarly, scholars have been eager to provide evidence of these opportunities, but may

have neglected the complexities of engaging with SNS users and under-appreciated the

challenges of leveraging the potential of SNSs (Roberts & Candi, 2014; Roberts & Pillar, 2016;

Marion et al., 2016). We contend that anecdotal validation about the value of SNSs is at risk of

outpacing its conceptual and empirical development, particularly regarding why it might be

valuable and how such value might be accrued.

Given the phenomenal growth in SNS use and the potential to improve new product

performance, understanding how to leverage SNSs for the successful launch of new products is

an important priority for research and practice. Proficiency in NPL activities is an essential

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requirement for new product success (Maidique & Zinger, 1984; Langerak et al., 2004), but what

understanding is needed to be proficient in an age of social connectivity? In an environment

crowded with virtual communities (Rheingold, 2000) and users deeply engaged in social

networks (Lea et al., 2006), it is important to understand what motivates users to spend time on

SNSs and how these motivations are related with users’ propensity to engage in behaviours of

value for NPL. Examining these issues is important as individuals generally do not enter or

spend time on SNSs to engage with firms or learn about their new product launches but to meet

their own socially-oriented goals (Piskorski, 2011). Only by understanding users’ motivations and

behaviours can firms potentially hope to leverage them for NPL.

By understanding SNS users’ motivations and expected behaviours in engaging with SNSs, we

can start to comprehend how firms can leverage SNS users to benefit their NPL activities and

develop new NPL strategies that are fitting for the social networking era. We focus on two

specific behaviours, firstly, the more passive behaviour of paying attention to advertisements on

SNSs, and secondly, the more active behaviour of providing word-of-mouth (WOM) reviews or

recommendations about products.

To achieve our objectives and provide evidence about what motivates people to spend time on

SNSs and how these motivations are related with the propensity to exhibit behaviours of value

for NPL, a survey was conducted among over 200 users of SNSs. The sample includes SNS

users of all ages from around the world. It includes users of the currently popular SNSs and also

offered the opportunity for respondents to answer for less well known SNSs.

The remainder of this article is structured as follows: first we outline the theoretical background

and develop hypotheses. Second, we describe the data collection and analysis. Third, we present

the results of the data analysis. The paper closes with a discussion of the findings and

implications for theory and practice.

Theoretical Framework and Hypotheses With the emergence of a broad spectrum of SNSs, traditional NPL practices and the

marketing communication activities associated with the launch of new products are coming

under scrutiny. Users of SNSs are able to speedily communicate their likes and dislikes with

millions of users, magnifying or compromising the effect of marketing communications in

the marketplace (Mangold & Faulds, 2009). The launch of Apple’s Watch exemplifies the

situation; the new Watch, while considered ingenious by many was also a subject of ridicule

by SNS users who took the opportunity to mock its launch with a selection of memes. This is a

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good example of how firms find themselves launching new products in an environment in

which power has shifted from the firm to the user (Berthon et al., 2012; Shah, 2010). They can no

longer rely on traditional ‘push’ strategies to sell their products and services, and are increasingly

trying different approaches to bring products to the market and listen to users (Gassman &

Gaso, 2004; Urban & Hauser 2004).

The possibility of using SNSs for NPL is growing in importance as it is at the launch stage that

users are most likely to take an interest in new products on SNSs (Heller et al., 2014). Engaged

customers on SNSs, and those with a sense of belonging towards a brand (Hsu, et al., 2015) are

in a prime position to notice advertisements relating to NPL and become advocates for new

products in authentic ways that appeal to other users (Fournier & Lee, 2009). It is here that

marketing communications, such as messages on SNSs and connecting with SNS users, can play

a vital role in conveying information about a new product and establishing a position in the

market. Learning that a new product exists is the first step in the adoption process and creating

media buzz around a new product is a prime activity as informed customers are needed to start

the diffusion process (Lopez & Sicilia, 2013). However, the forces and mechanisms at work are

poorly understood (Roberts & Candi, 2014).

For the most part, individuals do not engage with SNS to connect with firms (Piskorski, 2011),

although it is increasingly the intent of businesses to connect with such users and co-opt them as

resources in their activities. Rather, individuals’ participation in network- and group-based virtual

communities on SNSs is driven by their social identity within these communities (Dholakia et al.,

2004). For firms to leverage SNS users for NPL, they must understand the reasons that drive

SNS use and the behaviours that can be expected depending on these motivations. We posit that

when a firm understands the motives driving people to participate in SNSs, and so their

behaviours, this understanding can be leveraged to identify the types of SNS users a firm could

target in its NPL activities. Only with such understanding can firms hope to strategically leverage

SNSs for NPL.

Attention to Advertisements on SNSs The ability to successfully launch a new product depends on a firm’s ability to create a desirable

image of the product and position it in the mind of the customer (Ries & Trout, 1986; Langerak,

et al., 2004), which is typically done through advertising. The design of the message and the

quality of the communication process are critical to NPL success (Chen et al., 2007), but the

design must ‘speak to’ the user and evoke a response. To this end, market communications

designed to create an image or position a new product are only effective if they are actually

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noticed by a prospective customer, and are not felt to be obtrusive in what is often regarded as a

personal social space, such as an SNS.

Traditionally, firms have used advertising in mass media such as television, press and radio to

inform customers about new products and brands. The media uses and gratifications theory

(Katz & Foulkes, 1962) was developed when television advertising was dominant, but it is also

relevant for understanding users in online contexts (Dholakia et al., 2006; Stafford et al., 2004).

According to this theory, using media can help people to satisfy their psychological and social

needs (Katz et al., 1973; Rubin, 1983). It acknowledges that people use media to satisfy specific

goal-directed needs. Examples of the gratifications sought include entertainment, diversion and

information. Individuals seeking entertainment and diversion engage for hedonic motives (Pöyry

et al., 2013). These motives align with the reasons why individuals engage with virtual

communities and then behave in particular ways therein (Dholakia et al., 2006).

On SNSs, advertisements differ from advertisements in traditional media in their form and

delivery method. Some, such as banner advertisements and videos are simply adaptations of

traditional media, whereas fan pages and Tweets have few counterparts in offline environments

(Taylor et al., 2011). When using traditional media for NPL, the firm creates and delivers the

content or message (Onishi & Manchanda, 2012), but in an SNS context, users are able to send

advertising-related content to each other, e.g. using Tweets. The opportunity to engage and

interact with the media and content (Ainin, et al., 2015) can provide entertainment value (Nahai,

2012) and gratification (Katz et al., 1973).

Recent studies have sought to shed light on the characteristics of people with a propensity to

engage in and with online product-related marketing activities (Pöyry, et al., 2013; Jeng et al.,

2015), and connection strategies used by SNS users with each other (Ellison et al., 2011).

Collectively these studies suggest that hedonistic motives for SNS use encourage greater

participation by users in conversations about items that further facilitate entertainment, escape

and diversion while also increasing browsing activity (Pöyry, et al., 2013). Furthermore, that

individuals engaging in such ways do so to extend their exposure to value propositions that align

with their motives, which themselves are embedded in their sense of social identity (Dholakia et

al., 2006); and in doing so that individuals grow their network among like-minded individuals

(Ellison et al., 2011) with similar objectives (Jeng et al., 2015) and characteristics (Punj, 2013).

Behaviour can be viewed as a function of motivation, which can be thought of as an antecedent

that compels some form of human behaviour to occur (Roberts et al., 2014). It energizes

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behaviour and gives direction to action (Deci & Ryan, 1985). Nambisan (2002) argues that there

has to be some form of benefit associated with what is essentially a voluntary action, such as

paying attention to advertisements, and that this can take many forms. For example, motivation

researchers have spoken of satisfying experiences that come from subject-object interaction

within a particular situation (Abbott, 1955). Such experiences are typically hedonistic in nature

and take the individual away from mundane everyday life by offering new challenges. Individuals

that seek to experience stimulating challenges often do so for egotistic reasons (Csikszentmihalyi,

1991). When a user engages for such egotistic reasons, the likelihood that they become more

sensitized to new information that extends those perceptions of challenge is likely to increase.

For example, evidence suggests that as online behaviour is often driven by a search for new

experiences, challenges and sensory stimulation (Cotte et al., 2006), this can lead to a state of

deep involvement (Pöyry, et al., 2013; Csikszentmihalyi, 1991) in which consumers have been

found to explore new sites and click on unfamiliar links to find yet further new and interesting

experiences and challenges (Cotte et al., 2006). Thus, we hypothesize that:

Hypothesis 1: Users’ engagement with SNSs to be challenged is positively related with their

attention to advertisements on those sites.

Dholakia et al. (2004) reported that an individual participating in a virtual community develops a

social identity in which a self-awareness of similarities with other members, and dissimilarities

with non-members, develops. From an NPL point of view then, any interaction an SNS user has

within that context has to be rewarding to them within that social setting (Bagozzi, 1975).

Hedonic motivations are powerful because they entail fun, pleasure, enjoyment or playfulness

(Babin et al., 1994; Batra & Ahtola, 1990; Pöyry, et al., 2013). Hedonic motivations are therefore

egotistic in nature and an SNS setting speaks to opportunities for the individual to live a life that

is different from the day-to-day (Roberts, et al., 2014). Engaging in SNS use affords individuals

opportunities for escape, and escapism and fantasy are related to egotistic consumption

experiences (Holbrook, 1995, 2006). In such cases, individuals will then seek other consumption

experiences that extend these feelings (Holbrook, 2006).

In turn, users are more likely to be sensitive and sensitized to advertisements because they offer

additional ways to extend the identities they are forming by extending opportunities for escape.

As avenues to extend escape, research suggests that SNS users are more likely to click and

explore unfamiliar material (Cotte et al., 2006). Therefore, we hypothesize as follows:

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Hypothesis 2: Users’ engagement with SNSs as an escape is positively related with their attention to

advertisements on those sites.

Word-of-mouth on SNSs Of particular interest to managers working on NPL is the potential power of word-of-mouth

(WOM) communications by SNS users (Mangold & Faulds, 2009). WOM has both a persuasive

communication effect and a diffusive effective. People deem peer reviews and recommendations

to be more trustworthy and credible than communication from businesses (Shu-Chuan & Kim,

2011, Brown et al., 2007). Content is felt to be more genuine and reliable when shared with and

communicated through friends (Piskorski, 2011) and positive affirmations such as ‘likes’ on

Facebook can help generate interest in NPL activities and increase early product acceptance. By

using SNSs, the WOM process has magnified and gained rapid momentum (Lindgreen et al.,

2013; Li & Du, 2011). Messages can reach people that are unconnected in a very short space of

time. WOM communications can exponentially increase the exposure of a firm, its product and

its messages as well as uncover previously unarticulated user experiences (Pedrosa, 2012).

A fundamental objective of marketing activities at product launch is to speed up the rate of

adoption, the process by which individuals accept and use new products (Rogers, 1983) and

diffusion of the new product into the marketplace. The importance of positive WOM in

stimulating product adoption has long been recognized (Arndt, 1967; Katz & Lazarsfeld, 1955).

Firms that are proficient in developing their marketing communication strategies can influence

product adoption and so maximize the chances of NPL leading to product acceptance (Cooper

& Kleinschmidt, 1994).

WOM is a consumer-dominated marketing channel (Brown et al., 2007) through which informal

advice about products and services is communicated to adopters and potential adopters (Huang

et al., 2011). Kawakami et al., (2013) differentiate between pWOM, the exchange of information

that typically occurs through conversation and vWOM, electronic or virtual communication

often between strangers. They note how the importance of vWOM has increased and online

forums are often used to post new product reviews. However, by its very nature, WOM on SNSs

is difficult for firms to control as it falls under what Wikman (2013) refers to as libre openness,

since firms have little if any control over what users say about their products on SNSs.

We posit that users driven by a motivation to seek information may be the prime candidates for

WOM activity. In contrast to the hedonic motivations discussed above, SNS users might also

engage for more utilitarian reasons (Pöyry, et al., 2013). Individuals who seek information will use

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a medium for the rational utility it offers (Punj, 2013). Users may be motivated to engage with

SNSs because they are seeking information about products (Jeng et al., 2015) and participation

behaviour has been associated with referral intentions (Pöyry, et al.,2013). Thus, to attract the

attention of those SNS users likely to contribute WOM recommendations requires leveraging

this information-seeking motivation. Jeng et al. (2015) found that information-oriented

individuals participate in SNSs for their research-based features in addition to, or as opposed to,

their social features.

As WOM is an information-oriented activity, the motivations driving an individual to engage in

SNS use that may then go on to make WOM referrals is likely to be about gaining information.

Motivation researchers have spoken of individuals seeking to achieve goals to create a desired

future state and outcomes relevant to their needs or goals. Such outcomes are utilitarian or

instrumental in nature. Utilitarian motivations are goal-oriented and rational, aligned with a

desire to extract a specific utility from SNS engagement. These would be expected to take the

form of information-seeking behaviour (Hennig-Thrau & Walsh, 2004). Engaging with SNS is

beneficial in this sense because of the information advantages of social networking (Burt, 1992,

2005) coupled with low communication costs (Ellison et al., 2011). There is also evidence that

consumers enjoy obtaining information for its own end, and information seeking is a

fundamental online user activity (Nahai, 2012).Since WOM is influential in terms of its impact

on product judgments, assessing product quality, attitude formation and purchase decision

making, more so than that of traditional marketing communications (Bone, 1995; Shu-Chuan &

Kim, 2011), information-seeking individuals are likely to engage in WOM because of its high

information component, using that information and reciprocating it back to the user group (e.g.,

Dholakia et al., 2004) through WOM. We therefore hypothesize that:

Hypothesis 3: Users’ engagement with SNSs to obtain information is positively related with their

contribution of WOM recommendations on these sites.

As is true of services in general (Beltagui et al., 2016), individuals commonly participate in SNSs

to form or join communities to fulfil wider social needs and form connections with like-minded

others (Cummings, et al., 2002; Jeng et al., 2015; Latham & Pinder, 2005). Ellison et al. (2011)

report that social information-seeking behaviours contribute to perceptions of social capital

among SNS users and such connection strategies are one form of behaviour socially-oriented

individuals use to connect with others with legitimacy. This behaviour also signals the

authenticity of the individual’s social identity to a group of other users (e.g., Dholakia et al.,

2004). Thus, further understanding a user’s motivation to engage in SNS use requires

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acknowledging the social setting. Within a social setting, a prime driver of motivation is the

desire to build new connections with like-minded people (Roberts et al., 2014; Hennig-Thrau &

Walsh, 2004; Beltagui et al., 2015). Greater embeddedness in a network of relationships also

increases exposure to knowledge (Granovetter, 1985).

Within virtual communities that form around users of SNSs a form of social identity develops

(Dholakia et al., 2004). As a result, users develop self-awareness about the membership of that

community, including information about similarities with other members and dissimilarities with

non-members (Dholakia et al., 2004). Individuals will then seek new connections with similar

others because these users can be readily identified in a cognitive sense. As positive WOM about

products and services is one of the most influential sources of marketplace information, those

users who are motivated to connect with others are likely to engage in WOM and be receptive to

the WOM of others as it signals their similarity to others. Thus, we hypothesize as follows:

Hypothesis 4: Users’ engagement with SNSs to connect with others is positively related with their

contribution of WOM recommendations on these sites.

Methodology

Data The hypotheses were tested using data collected with an online survey from a broad sample of

SNS users. Since the research model includes two dependent variables and four independent

variables, the decision was made to analyse the data using structural equation modelling (SEM)

using Stata version 13. Following the recommendations of Kline (2015), the target was to obtain

at least 200 usable responses to be able to analyse the data using SEM. The authors broadcasted

requests to respond to the survey within their own personal networks and a firm was hired to

broadcast requests to individuals, including people working in small and large businesses, and

people working in government agencies. Responses were collected from all continents, but the

largest proportion of responses came from Europe. A total of 268 responses were collected.

Since the data were obtained through broadcasted requests, the response rate is not known. 8%

of the respondents were 20 years old or younger, 31% were 21-30 years of age, 20% were 31-40

years of age, 23% were 41-50 years of age, 13% were 51-60 years of age and 5% were 61-70 years

of age. 38% of respondents were male and 62% were female. Respondents were asked to

indicate which SNSs they used regularly and answer the survey questions for the specific SNS

they used most. 40% of respondents used Facebook most and answered the survey relative to

their use of Facebook, 20% indicated they used Twitter most, 17% selected LinkedIn, 11%

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YouTube, and the remaining 12% indicated a range of other SNS such as Google+, Pinterest,

Reddit, TripAdvisor, to name a few examples. The average number of times the respondents

visited their most used SNS in the two weeks prior to responding was 28, or twice per day. There

was a wide spread in visit frequency as evidenced by a standard deviation of 45.

Crafting an appropriate sampling approach was not a straightforward task as the potential

population of SNS users is huge. The sampling strategy started with the principle of taking a

proportion of the population in order to test this smaller group and then generalize the findings

to the larger population, a technique known as purposive random sampling (Kemper et al., 2003).

This is not too dissimilar to the idea of stratification in which a researcher targets a particular

sub-population within the wider population as a whole, for example, by way of a specific channel

(e.g., social media, network connections) (Patton, 2002; Tashakkori & Teddlie, 2003). While

appreciating the need for a representative sample, we realized that the key demand for the work

rested not in the ability to generalize to a population but rather to generalize to theory, because it

is the absence of such theoretical framing that has held researchers and managers back from

being able to understand why the phenomenon of poor returns from social media activity is so

apparent among firms (e.g., Ketonen-Oksi et al., 2016; Marion et al., 2016; Roberts & Candi,

2014; Roberts & Pillar, 2016). Hence, we sought to reach a broad group of people and

broadcasted requests widely, adopting a purposive element. Using purposive random sampling as

a sampling technique containing both a probability and purposive element (Teddlie & Yu, 2007),

we were able to capture an appropriate sample of what is otherwise a very large population of

SNS users. While not strictly random per se, this strategy offers a broad route to a diverse group

of people relevant to the sample population and permits generalization to theory although it

tempers generalization to a population.

Variables The survey included a total of 59 questions about the reasons, or motivations, for why people

spent time on their most used SNSs and their propensity to pay attention to advertisements and

provide WOM recommendations on the SNSs. The items were adapted from existing validated

scales as summarized in Table 1.

Exploratory factor analysis (EFA) with varimax rotation including the 59 survey items was

conducted as a first step in identifying variables in the data and dropping items that were not

unambiguously associated with these variables (Hair et al., 2010). The EFA indicated 6 variables

accounting for 84% of the variance. The 38 items having loadings of at least 0.5 on one of the 6

variables and no cross-loadings over 0.3 on other variables were retained (Hair et al., 2010). The

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next step was confirmatory factor analysis (CFA) for scale refinement (Shah and Goldstein,

2006). The 38 items retained following the EFA were included in an initial covariance-based

measurement model using the maximum likelihood method. A two-step process was followed

(Shah and Goldstein, 2006). First, items having loadings of less than 0.7 on their variables were

eliminated. This resulted in the elimination of 4 items. Second, covariances between item error

terms were examined and where there were large covariances between pairs of error terms a

decision was made about whether to drop one of the items or allow the two items to covary.

These decisions were made based on evaluations of face validity. The final measurement model

consisted of 28 items loading on the 6 variables. Fit statistics were good with χ2= 831 (345

degrees of freedom), root mean squared error of approximation (RMSEA) = 0.071, comparative

fit index (CFI) = 0.91.

The variables, items and item loadings are shown in Table 1 along with average variances

extracted (AVE) and composite reliabilities (CR). All AVEs are over the commonly accepted

threshold of 0.5 and all CRs are over the commonly accepted threshold of 0.7.

INSERT TABLE 1 HERE

Respondents provided data for both the dependent and independent variables, which made it

necessary to check for common-method bias. A Harman’s test was conducted and resulted in the

expected factors with no substantial cross-loadings, which provides reasonable confidence that

the data were not plagued by common-method bias.

Findings

Hypothesis testing The research model is shown in Figure 1.

INSERT FIGURE 1 HERE

Structural equation modelling was used to test the hypotheses. The results are shown in Table 2.

INSERT TABLE 2 HERE

As can be seen from Table 2, all four hypotheses are supported. People who spend time on

SNSs to be challenged or to escape are more likely to pay attention to advertisements than

people who are less interested in being challenged or escaping. People who spend time on SNSs

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to gain information or connect with others are more likely to provide WOM advocacy than those

who are less interested in gaining information or connecting with others.

Additional post hoc analysis As a robustness test to pre-emptively and purposefully examine the appropriateness of our

model and analysis (Shaw, 2012; Vorhies et al., 2011), we tested a second model with paths

included between the variables for challenge and escape motivations and word-of-mouth

advocacy and between the variables for information gaining and connection motivations and

attention to advertisements. This post hoc analysis offers a degree of completeness and the

results are shown in Table 3. Here we see that not only the challenge and escape motivations are

related with attention to advertisements but also the motivation to connect with others. We also

see that those who visit social network sites to be challenged are more likely than others to

provide WOM advocacy.

INSERT TABLE 3 HERE

Discussion and Conclusions There is a growing view (Faraj et al., 2011) that online communities can offer important

opportunities for collaboration between individuals and firms. Nevertheless, there is a theoretical

and empirical incompleteness in our understanding of why individuals engage in SNSs and what

the implications might be for firms’ NPL activities. To date, scholars have considered

individuals’ communications practices in using SNSs (Ellison et al., 2011), individual motives for

participation in SNSs (Jeng et al., 2015), social influences of consumer participation in virtual

communities (Dholakia, et al., 2004), and the characteristics of consumers who conduct online

research and post reviews within online communities (Punj, 2013). To the best of our

knowledge, to date only the work of Roberts and Candi (2014) has offered insights about the use

of SNSs for NPL activities. However, without understanding what motivates users who are likely

to engage in behaviours beneficial to NPL, such as paying attention to advertisements or

generating positive WOM, there is no clear basis for firms to identify those SNS users that might

be worth targeting. Our theoretical development and empirical findings offer contributions to

scholars and managers to help resolve this issue.

Evidence of investments in SNS initiatives demonstrates that many firms have established a

presence on SNS platforms. However, just establishing a presence does not enable firms to

develop valuable relationships with users that are meaningful to the firms’ activities (Roberts &

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Piller, 2016; Marion, et al., 2016). This work makes an important theoretical contribution by

unravelling a set of motivations that capture why people choose to engage in SNSs and might be

leveraged for NPL. Until now, studies of SNS users have not explicitly addressed the potential

contribution of these users to firms’ NPL activities. The result is that while scholars and

managers are aware of this group of individuals, they have been unable to explain or tap their

potential for firms’ NPL activities. Our theoretical contribution described above offers a basis to

resolve this conundrum.

We make an empirical contribution to knowledge by providing evidence about the categories of

user motivations for engagement with SNSs that might be related with their contributions to

NPL activities, namely paying attention to advertisements and providing WOM

recommendations. This promises to be an important and crucial channel for future research as

the importance of SNSs and their communities continues to grow.

Implications for managers Firms have rushed to use SNSs because of their potential to reach millions of people. Learning

how to take advantage of the behaviour and motivations of the users of SNSs for NPL is an

important business goal. To this end, the ability to utilize SNSs to promote products and

facilitate positive WOM is important. This is particularly pertinent as Onishi and Manchanda

(2012) state that NPL is where firms tend to spend approximately half of their marketing

budgets. Thus, getting this spending right is a non-trivial matter. If product managers approach

social networking and SNSs without an appreciation of user motivations, they might waste

considerable resources in the hope of achieving positive NPL outcomes. Our findings support

managers in identifying SNS users that might behave in ways that are of value for NPL. By

understanding SNS users’ motivations, managers can target potentially valuable users, and thus

develop a strategic approach to leveraging SNSs for NPL. By speaking to these motivations,

managers can hope to co-opt these users as allies in NPL activities.

Managers should actively look for individual users or groups of users that exhibit motivations of

challenge, escape, information seeking and connection and find ways to fulfil these motives. If

they do this, they can hope to engage SNS users likely to pay attention to advertisements and/or

broadcast positive WOM about their products. Shrewd product managers can design NPL

campaigns and deploy strategies that communicate in terms that speak to desires for challenge,

escape and connecting with others and thereby increase the likelihood that SNS users will notice

advertisements. Providing valuable information and managing users’ desires to establish new

meaningful connections and be challenged can also co-opt these users into WOM advocacy.

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Limitations and future research People naming Facebook as their most used SNS made up 40% of the survey sample, which

challenges the generalizability of our findings, but given the current overwhelming popularity of

Facebook relative to other SNSs, this limitation was largely inescapable.

While we identified four specific motivations for engaging with SNSs through an analysis of our

survey data, it is important to acknowledge that we may have missed other motivations that

might also be related with the likelihood of contributions to NPL. SNS users are likely to be

motivated by more than one force and thus future studies may wish to consider configurations

or profiles of motivations and whether users exhibiting these bundles offer potential further and

different forms of value to firms’ NPL activities.

Whilst the growth in usage of SNSs has important implications for business and NPL there are

also wider societal implications. Arguably, even before the widespread adoption of SNSs, society

has been in a state of flux and transition as people sought to liberate themselves from the norms

and social codes of previous generations (Dahl, 2015). We have witnessed a rise of individualism,

associated with values such as personal freedom and where people actively construct their own

identities. Somewhat ironically, individualism has motivated people to seek alternative social

activities and form communities, such as those on SNSs where they can fulfil their need for

connection and belonging. SNSs appear to have accelerated this trend. However, it is currently

unclear how this trend will impact both the individual and society as the boundaries between

public and private spaces and communications begin to blur. This provides an interesting area

for future research.

Conclusions What understanding is needed to effectively leverage SNSs for NPL? This research reveals that

an answer to this question lies in understanding SNS users’ motivations in engaging with SNSs.

Given the phenomenal growth in SNS use and the potential to improve new product

performance, understanding how to leverage SNSs for the successful launch of new products

remains an important priority for research and practice. In an environment where users are

deeply engaged in social networks (Lea et al., 2006), it is important to understand what motivates

them to spend time on SNSs and how these motivations are related with their propensity to

engage in behaviours of value for NPL. We find that users with different motives are more or

less valuable to firms in terms of their, firstly, more passive behaviour of paying attention to

advertisements on SNSs, and secondly, their more active behaviour of providing word-of-mouth

reviews or recommendations about products. Armed with this knowledge, managers can now be

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poised to create better NPL campaigns, understanding that individuals generally do not enter or

spend time on SNSs to engage with firms or learn about their new product launches but to meet

their own socially-oriented goals.

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