Social Networking Relationships

Published Date: 23 Mar 2015 Last Modified: 05 May 2017

Social Networking Relation

1.0 Introduction

“Social networking is really recommendation between people about the things that they are interested in and they like… this has stimulated people’s attention in terms of the importance of public relation. The people who are going on these sites didn’t want to be monetised, they didn’t want to be advertised to, so again editorial communication is so powerful, they would rather be communities that can exchange views that are untarnished.” - Sir Martin Sorrell

Social media is a global phenomenon in which old demographics no longer apply. Conversations happen at the click of a button. New communities are born every day and brands need to be involved; in the first instance to listen, and then to participate. Social media is booming.

Every day new statistics, white papers and articles appear discussing its continued growth. Independent market analyst Datamonitor (2008) has revealed how quickly the number of people participating in online social networking is growing: the United Kingdom currently leads Europe, in terms of membership, and is expected to reach 27 million users - a threefold increase on today's figures - by 2012 (www.datamonitor.com).

“Social networking sites are the reality television of the Internet,” said Jon Gibs (Senior Director of Media, Nielsen//NetRatings). “The content is relatively inexpensive for publishers to produce, and social networking is not a fad that will disappear. If anything, it will become more ingrained in mainstream sites, just as reality TV programming has become ubiquitous in network programming,” Gibs continued (www.acnielsen.com). “However, again like reality programming, the concept of ‘reality’ alone, or in this case ‘social networking,’ is not enough. In this competitive marketplace, sites also have to provide consumers with distinct content they can identify with.”

A new survey reveals that almost 50 percent of attorneys are members of online social networks and over 40 percent of attorneys believe professional networking has the potential to change the business and practice of law over the next five years. “Online professional networking is a growing area of importance in the legal industry,” said Ralph Calistri, Chief Executive Officer of Martindale Hubbell and senior vice president of Global Client Development at LexisNexis. “As we develop a global network for the legal community through Martindale-Hubbell, objective research such as this survey by Leader Networks serves as an important way for us to listen to clients and guide our efforts.”

Table: United States: Top 10 Social Networking Sites (March 2008)

Source: AC Nielsen

The Internet has broadened the area of word of mouth influences from interpersonal communication among acquaintances to online communication to general public (e.g. posting reviews). Harrison-Walker (2001) defined word of mouth as “informal person-to-person communication between a perceived non-commercial communicator and a receiver regarding a brand, a product, an organization, or a service.” Marketing practitioners try to encourage such “informal” communication in a positive manner, and several approaches such as “viral marketing” (Wilson 2000) and “buzz marketing” (Rosen 2000) have been developed.

Facebook was created in February 2004 by Mark Zuckerberg, a student at Harvard University. According to Zuckerberg, “The idea for the website was motivated by a social need at Harvard to be able to identify people in other residential houses” (Moyle, 2004). Today Facebook has more than 7.5 million registered members at over 2,000 U.S. colleges and is the seventh-most-popular site on the entire Web with respect to total page views (Cassidy, 2006).

Social networking sites are online spaces that allow individuals to present themselves, articulate their social networks, and establish or maintain connections with others. These sites can be oriented towards work-related contexts (e.g. LinkedIn.com), romantic relationship initiation, or connecting those with shared interests such as music or politics (e.g. MySpace.com). Users may use the sites’ communication tools to interact with those they know from offline contexts, such as school, or they may use the sites to meet new people.

The way in which these sites allow for new connections to be made between individuals has resulted in proposed legislation which would bar libraries and schools to block minors’ access to social networking sites such as MySpace and Facebook (McCullagh, 2006). MySpace in particular has generated public concern due to its large member base -- 78 million registered accounts according to one source (Wright, 2006) - many of whom are teenagers.

There is little academic work examining online social networks. A 2005 survey of academic community members found that 90% of the undergraduates participated in a social network community, primarily Facebook, MySpace, and Friendster, and that many of them disclosed personal information such as email address (Stutzman, 2006). In her ethnographic work examining self-presentation and social connections among Friendster users, boyd (2004) notes that users have a variety of motivations for using the site, including connecting with old friends, meeting new acquaintances, dating, and furthering professional networks.

In one of the few pieces to examine this new breed of online fora, Donath and boyd (2004) point out that one of the chief hallmarks of these sites is that links between individuals are mutual, public, unnuanced and decontextualized. In the sites that Donath and boyd examine, public displays of connections serve to warrant, or signal the reliability of, one’s identity claims. Social networking sites are distinguished from the first wave of virtual community sites in that they allow for both maintenance of existing social ties and formation of new connections.

A hallmark of the early research on computer-mediated communication and virtual communities in particular is the assumption that individuals using these systems would be connecting with those outside their pre-existing social group or location, liberating individuals to form communities around shared interests, as opposed to shared geography (Wellman et al., 1996).

However, some online community researchers have explored how online communities present opportunities for people in a common offline community to extend their interaction. Such a theme is articulated by Wellman et al. (1996), who note that “Although CSSNs [computer supported social networks] do transcend time and space, not all ties are either totally on-line or off-line. Much on-line contact is between people who see each other in person and live locally” (p.222).

1.1 Research Question

This research studies the importance of social networking sites and aims to identify how motivations for using social networking sites influence the degree of interaction and the generation of word-of-mouth. Next, in order to study use patterns of social networking sites between users in United Kingdom and to explore the relationship between the degree of interaction and the generation of word-of-mouth, the following questions are generated.

• Why / how often do people use social networking sites?

• Are social networking sites users generating word-of-mouth? If so, what makes users generate word-of-mouth?

• Do the motivations of using social networking sites influence on the degree of interaction or on the generation of word-of-mouth?

H₁ - Exploring the relationship between the purpose of using social networking sites and the degree of users’ interaction

H₂ - Exploring the relationship between the purpose of using social networking sites and the generation of word-of-mouth

H₃ - Exploring the relationship between the degree of users’ interaction and the generation of word-of-mouth in social networking sites

Main Research Question: How effective are motivations for using social networking sites influencing degree of interaction and word of mouth in United Kingdom?

At the same time, the growing importance of word-of-mouth on social networking sites is understood and discussed by both marketing practitioners and academics, and online word-of-mouth communication is considered as a new marketing tool (Kozinets, 1999; Croteau, 2006; Peattie, 2007; McKinsey Quarterly, 2007).

Due to the similar characteristics between social networking sites and word-of-mouth communication, namely, relationship and interaction among people, a number of researchers tried to find out the connection between online communities and word-of-mouth, then, came up with various ways to measure word-of-mouth in the virtual world (Kozinets, 2002; Godes et al, 2005; Dwyer, 2007).

In addition, after their introduction, social networking sites brought in a new organisational framework for online communities. According to Boyd and Ellison (2008), early online communities were constructed as ‘communities of interest’, but social networking sites these days are constructed as personal. In other words, social networking sites are centred around people rather than topics or ‘topical hierarchies’.

2.0 Literature Review

2.1 General Overview

The study of personal influence and the idea that there are certain people who are especially influential over others has fascinated researchers, practitioners, and the general public for more than 60 years. Variously named in academic and popular circles, these people have been called opinion leaders (Katz & Lazarsfeld, 1955), early adopters (Rogers, 1962/2003), influential (Weimann, 1994), and Influential Americans® (Keller & Berry, 2003), while the process of personal influence has been linked to, or synonymous with, various phenomena such as compliance gaining (strategic attempts to seek compliance from others in interpersonal settings; Wilson, 2002), the diffusion of innovations (how ideas spread in a culture; Rogers, 1962/2003), buzz (contagious word-of-mouth commentary about products, services, brands, and ideas; Walker, 2004), and tipping points (the point at which an idea, behavior, or product “tips,” crossing a threshold from being a minor phenomenon to a wild epidemic; Gladwell, 2000).

Numerous organizations, for-profit and not-for-profit, in an assortment of industries (consumer products, fashion, health care, law, higher education, etc.) have sought to capitalize on a renewed awareness and interest in the influential role that informal conversation and relational networks play internally to an organization (e.g., in terms of sharing knowledge within and across organizational units; Cross & Parker, 2004; May & Zorn, 2002) and especially to external audiences (e.g., in the case of viral and buzz marketing).

Thus, although the power of stimulating word-of-mouth and relational networks has been known for some time (Arndt, 1967; Whyte, 1954), a more recent phenomenon is when certain firms seek to consciously engineer buzz in relational networks (Balter & Butman, 2005; Dye, 2000; Godin, 2001; Ozcan, 2004; Rosen, 2000;Walker, 2004).

For example, some firms (such as Big Fat Inc.) pay people to go out and talk up a brand, either in face-toface or online settings, where the fact that they are employed by a marketing agency is not disclosed (a form of “undercover” marketing). Other firms (such as BzzAgent, Inc.) actively recruit volunteers who willingly participate in a campaign by going out and buzzing the product or service (oftentimes in exchange for points that can be redeemed for prizes or the knowledge that they are the first among their peers to have access to a new product) and then report back to the buzz marketing company their own and others’ feedback about the product (the company then compiles and analyzes these various reports from the field and presents them to the client). Still others (e.g., Proctor & Gamble’s Tremor program) form an extensive network of carefully selected teenagers to create buzz among peers for their clients’ brands and products (Wells, 2004).

These distinct kinds of organizational marketing practices have raised a number of ethical concerns, some more than others. In addition to whether or not the institutional identity of the agent is disclosed, whether or not the person buzzing the brand is doing so for some form of compensation, and whether or not agents involve minors younger than age 13 (Wells, 2004), a significant concern is that through buzz marketing marketers are better able to infiltrate everyday conversations and relationships (Walker, 2004), which might be regarded as further instantiation of corporate colonization of the lifeworld (Deetz, 1992).

With traditional forms of marketing and advertising efforts, consumer audiences can “tune out” or “turn off” the advertising. However, what happens when the marketing is your friend or family member, in online and offline conversations? Is society increasingly falling prey to the “commercialization of chit-chat?”(Walker, 2004). Although these concerns are not new— for example, marketing to known others has been well-documented and critiqued in terms of Tupperware parties (Frenzen & Davis, 1990; Taylor, 1978) and multilevel marketing companies (Biggart, 1989; Carl, 2004; Fitzpatrick & Reynolds, 1997)—the fact that increasing numbers of well-known, mainstream organizations seek to amplify buzz in social networks has elevated the concern (Vranica, 2005).

2.2 Word of mouth

Word-of-mouth has grown in popularity over the past several years as a marketing and research medium (BzzAgent, 2005). Marketers seeking to find new methods for reaching customers and communicating with them have wondered if word-of-mouth could provide a potential solution to the dwindling return of traditional marketing platforms. Since the beginning of organized marketing programs, marketers viewed word-of-mouth as an incredibly valuable, yet uncontrollable, result of effective marketing practices.

Many marketers have implemented plans to fool word of mouth into occurring, seeding the marketplace with shills (paid actors talking up products and services). They found the results effective but extremely risky, since consumers didn’t like being deceived. In recent years, a number of companies have formed, seeking to harness the power of authentic word of mouth (BzzAgent, 2005). By organizing real consumers, they train them to share their honest opinions more effectively.

Defining word of mouth can be tricky, especially in light of the Internet and recent emergence of buzz marketing firms. According to Buttle’s (1998) review of marketing research, Arndt (1967) discussed word of mouth as face-to-face communication about a brand, product, or service between people who are perceived as not having connections to a commercial entity. Bone’s (1992) definition is similar though she noted that word of mouth could be a group phenomenon:

“An exchange of comments, thoughts, and ideas among two or more individuals in which none of the individuals represent a marketing source” (p. 579).

Stern (1994) distinguished word of mouth from advertising in that word of mouth is face-to-face, interactive, ephemeral, spontaneous, and does not include such features as clever turns of phrases or jingles. Buttle (1998), however, found these definitions unsatisfactory because (a) Word of mouth can include talk about an organization (in addition to a brand, product, or service), (b) it can be electronically mediated (such as cell phone, chat rooms, e-mail, Web sites, “tell-a-friend” hyperlinks, etc.), and (c) more and more companies may offer incentives or rewards for consumers to spread word of mouth or make referrals (e.g., to refer friends and family members for a company’s services). Buttle concluded that currently the only distinguishing feature of word of mouth may be that “word of mouth is uttered by sources that are assumed by receivers to be independent of corporate influence” (p. 243).

In contrast to traditional word of mouth marketing research, research on buzz marketing is still in its infancy. Verlegh, Verkerk, Tuk, and Smidts (2004) mentioned, but did not study, buzz marketers in their experimental research on whether or not financial incentives used when stimulating customer referrals alter the meaning of the situation such that consumers would perceive the word of mouth episode to be “persuasive” rather than just friendly, peer advice.

Thomas (2004) represented an early conceptual piece on buzz marketing where it was defined as the “amplification of initial marketing efforts by third parties through their passive or active influence” (p. 64). An early empirical study that applied insights from existing word of mouth and social network research from a firm’s perspective was conducted by Godes and Mayzlin (2004).

Abundant research demonstrates that word of mouth (WOM) is one of the most influential channels of communication in the marketplace. The reasons for WOM's power are evident: word of mouth is seen as more credible than marketer initiated communications because it is perceived as having passed through the unbiased filter of "people like me." At a time of declining trust in institutions, research shows that its influence is growing stronger. In a recent national survey (Harris Interactive, 2006a), U.S. consumers were asked which information sources they find useful when deciding which products to buy in four common product categories.

WOM and "recommendations from friends/family/people at work/school" were by far the most influential sources for fast food, cold medicine, and breakfast cereal. For personal computers, a highly technical category, we saw a strong reliance on expert advice in the form of product reviews and websites, followed by WOM as the next most useful. The consumer marketplace in which any enterprise operates is a complex, dynamic system.

A study found that disinterested, ill-prepared and unwelcoming salespeople lead to more lost business and bad word-of-mouth than any other management challenge in retailing. "There are a variety of different triggers for having a bad shopping experience, including things like parking or how well the store is organized. Some of those things retailers can do something about and some of them they can't. But frankly, a very important part of the retail experience is the interaction with the sales associate," says Wharton marketing professor Stephen J. Hoch, director of the Baker Initiative.

In a telephone survey of 1,000 shoppers who were asked about their most recent retail experience, 33% reported they had been unable to find a salesperson to help them. Many of these shoppers were so annoyed by this one problem that they said they would not return to the store. According to the Wharton analysis, sales associates who are missing in action cost American retailers six percent of their customers. Add to that the 25% of consumers reporting they were ignored outright by sales associates - no greeting, no smile, not even eye contact (Arndt, 1967; Aaker et al, 1996; Reingen and Kernan, 1986).

This lack of engagement turned off three percent of customers to the point where they said they would permanently stay way from the store in which they encountered this behaviour. Hoch remains puzzled by sales associates who retreat from potential customers. "You would think that if these sales associates are spending the whole day interacting with people, they would be a lot happier in their own life if they were friendly. Instead, they pull into their shell (Brown and Reingen, 1987).

What's wrong with saying, 'Hi, how are you doing?'" According to Paula Courtney, president of the Verde Group, survey respondents were not frustrated by sales associates who seemed overworked or outmanned by shoppers. It's the "conscious ignoring" that irritates them, she says. "Customers would walk into a store and the store representative would see them and continue to put items on the shelf or watch the cash register or do administrative work - absolutely ignoring the fact that an actual person was in the store (Cox, 1963, cited in Brown at el, 2007)."

In the above example, the degree of interaction was bad with consumers at a particular retail outlet. This provided bad word of mouth and hampered long term sustainability for the retailer. In other words, this forms the central part of the dissertation that degree of interaction and word of mouth are slightly interrelated.

2.3 Motives of Social networking

British anthropologist Robin Dunbar estimates that humans can only maintain stable relationships with around 150 people. That number refers to significant relationships like those in a family or tribe and other purposeful groups. Yet in today's over-informed digital business world, where bloated data moves at the speed of thought, it's not who you know that really counts, but who knows you (Kozinets, 1999; Boyd and Ellison, 2008).

Professional online social networking tools are invaluable in creating personal brand equity and raising awareness about who you are, especially beyond your 150 closest friends (BBC News, 2005). Online social networking software enables you to find quality people who may not be familiar with you, or with your organization, and creates an opportunity to connect with them and sell them on your opportunities (Boyd and Ellison, 2008). They may be unfamiliar with your company or business, or may not have even been looking for something.

Because you already know someone who knows them, you can feel more comfortable that they are a quality prospect or at least can do some checking around (Boyd and Ellison, 2008). Also, because of that mutual connection, you can more easily overcome cumbersome barriers and begin a relationship with a little more trust and warmth than with a total stranger. Like "Six degrees of Kevin Bacon," social networking sheds light on the contacts you never knew you had. For example, you can contact people in your network to:

• Rekindle old connections

• Maximize value in your weak connections

• Build business relationships with clients or hiring managers

• Find and meet prospective job-seekers

• Grow a referral network

• Heighten your corporate and personal brand

• Make new connections and grow your sphere of influence

• Open doors to future career opportunities, increased pay, or promotions

• Increase visibility, which improves influence and effectiveness internally with your organization as well as externally

Social networking also helps you find new leads for networking into companies to:

• Educate yourself and ask questions about other organizations

• Conduct competitive intelligence on companies, industries, or individuals

• Make fewer cold calls and better prepare for them

• Leverage contacts you already have

With the help of existing literature, Ridings and Gefen (2004) categorised four reasons to join online communities: ‘information exchange’, ‘social support exchange’, ‘friendship, and ‘recreation’. Firstly, people choose to use online communities to access and exchange information. By using online communities, people can access a huge amount of information generated by other users since online community providers offer effective systems or technologies in order to make their users easily exchange, create, request and search information (Hagel and Armstrong, 1997).

The second reason why users participate in online communities is to obtain the social support. Wellman et al (1996) suggested that online communities give emotional support and sociability to their users by giving ‘a sense of belonging’. For instance, Mickelson (1997) gave examples of online communities which focus on recovering social problems such as alcohol and drug addicts in order to explain why the social support can be the motivation of using online communities.

Thirdly, people join online communities to manage relationships. To seek friendship or to generate social capital, which can be defined as the resources gathered through the relationships among people (Coleman, 1988), online community users interact with other users with the aim of establishing and continuing relationships. For example, offline social capital can be generated by means of online tools, especially using social networking sites when people want to expand or keep up their offline relationships. Lastly, recreation is another reason why people experience online communities.

In conclusion, how word-of-mouth affects consumer behaviour can be described by those three factors; tie strength, homophily, and source credibility. As mentioned above, Brown et al (2007) and other researchers (Silverman, 1997; Money et al, 1998; Bansal and Voyer, 2000) explored the nature of word-of-mouth in online communities. Finally, the summary of the research above is compared by Brown et al (2007) as the following Table 1.

Table 1: A Comparison between offline and online social network constructs

Offline

Online

Tie Strength

Definition

The intensity of a social relation between pairs of individuals

The intensity of an interactive and personalised relationship between an individual and a website

Homophily

Definition

The degree to which pairs of individuals are similar in terms of certain attributes

The congruence between a user’s psychological attributes and website content

Source Credibility

Definition

Perceived competence of the individual source providing information

Perceived competence of the website and its membership

Source: Brown et al, 2007, pp. 10 Table 1

Bottom line: It could be seen that different internet users have diverse motives to enter social networking sites. Fulfilment of motives can enhance positive word of mouth and higher degree of interaction of a particular website. As per previous academic literature there have been negligible cases that internet users have entered social networking with out motivations. This forms the foundation of dissertation.

3.0 Research Model

3.1 Research approach

The research strategy we intend to adopt is a combination of multi-methods, of deductive, inductive and exploratory. Quantitative data will be collected throughout the life cycle of the project, from secondary sources: journals, databases, past dissertations, newspapers and magazine articles etc. We propose to use the following secondary databases to conduct quantitative data research:

• Emerald Full text

• Emerald Reviews

• Emerald Abstracts

• Swet Wise

• Reuters Business Insight

• Regional Business News

• Questia Media

Primary research will be conducted, using a closed questionnaire designed to predict average behaviour of children in general (Saunders et al. 2003). The inductive approach takes to account interpretivism or social considerations, which enables to establish the intentions of the respondents more clearly.

Saunders et al (2003) says that data collected using open-ended questions allows individuals more flexibility in answering, which may confirm a hypothesis or other wise. The limitation or disadvantage of this approach is that it is subjective and can only be applied to a limited sample of participants (Saunders et el. 2003).

Exploratory research will be conducted on a pilot group consisting of young internet users (mainly with Orkut profiles) within the age group 15-20 who will participate in a discussion on the following; the influence of motivations for using social networking sites on degree of interaction and word of mouth in United Kingdom.

3.2 Research Design

A research design is a program that guides the investigator in the process of collecting, analyzing and interpreting observations. According to Nachmias & Nachmias (1987) it is logical model of proof that allows the researcher to draw inferences concerning causal relationships among the variables under investigation. Consequently, the appropriate research design will depend on the problem to be investigated (Churchill, 1991), the purpose of the research, the research questions, and the state of the knowledge existing prior to the research plan (Eisenhardt, 1989).

Research methods and data collection, form an elementary part of the research design. Typically, the research methods and the data collection techniques are functions of the purpose of the research design. The purpose of the research may be organized into three groups based on what the researcher is trying to accomplish: explore a new topic, describe social phenomena or explain why something occurs.

The three basic types of research designs are: Exploratory (Case Studies), Descriptive and Casual.

3.2.1 Case Study

The case study approach is the most widely used in management fraternity. A Case study is the collection and presentation of detailed information about a particular participant or small group, frequently including the accounts of subjects themselves. It’s a form of qualitative descriptive research and it deals intensely at an individual or small participant pool, drawing conclusions only about that participant or group and only in that specific context.

This research design is not used to focus on topics such as discovery of a universal, generalized truth, nor look for cause-effect relationships but instead emphasize on exploration & description (The Writing Center at Colorado State University, 1997-2004). Case studies are detailed investigations of single individuals, single groups or departments in an organization, or a whole organization. No attempt is made at experimental control, although it is important to identify accurately the time order of events. Case study data can be extremely rich, varied and detailed.

The sequence of events can help to establish cause and affect relationships. Case study data can be collected over an extended time series to produce what are called longitudinal studies (Buchanan & Huczynski, 1985 p.25). Case study is not a new form of research; naturalistic inquiry was the primary research tool used until the development of the scientific method. The field of sociology and anthropology should be credited for primary shaping of the concept.

However case study research has been drawn from a number of other fields as well: the clinical methods of doctors, the case work technique of social workers, methods used by historians & anthropologists, plus the qualitative description provided by quantitative researchers like LePlay. There are four types of case studies, which are selected depending on the objectives/ goals of the investigator. They are as follows (www.writing.colostate.edu):

Illustrative Case Studies: These are primarily descriptive case studies. They typically utilize one or two instances of an event to show what a situation is like. Illustrative case studies serve primarily to make the unfamiliar familiar and to give the readers a common language about the topic in question.

Exploratory Case Studies: These are condensed case studies performed before implementing a large scale investigation. There basic function is to help identify questions and select types of measurement prior to the main investigation. The primary pitfall of this type of study is that initial findings may seem convincing enough to be released prematurely as conclusions.

Cumulative Case Studies: These serve to aggregate information from several sites collected at different times. The idea behind these studies is the collection of past studies will allow for greater generalization without additional cost or time being expended on new. This can be also called as repetitive studies.

Critical Instance Case Studies: These examine one or more sites for either the purpose of examining a situation of unique interest with little to no interest in generalizability, or to call into question or challenge a highly generalized universal assertion. This method is used to answer cause and effect questions.

Case study’s design/perspective is inherently determined through the field in which the researcher is working. In composition studies, researchers are typically working from a qualitative, descriptive perspective. Physicist will approach their research from a more quantitative perspective. Still, in designing the study, researchers need to make explicit the questions to be explored and the theoretical perspective from which they will approach the case. The three most commonly adapted theories are as follows (www.writing.colostate.edu):

Individual Theories: These focus primarily on the individual development, cognitive behavior, personality, learning and disability and interpersonal interaction of a particular subject.

Organizational Theories: These focus on bureaucracies, institutions, organizational structure and functions or excellence in organizational performance.

Social Theories: These focus on urban development, group behavior, cultural institutions or market place functions.

After selecting from the different sub categories of case study and identifying a theoretical perspective, researchers can begin to design their study. The basic approaches to research design are conceptualized by the experiential learning cycle developed by (Kolb, 1979) from work by (Wallace, 1971). The Process of deduction begins with theories from which hypotheses are derived which are then tested by experimentation and observation, thus providing generalizations. The process of induction, on the other hand, begins with the observation of some phenomena from which generalizations are derived, thus finally resulting in theorizing.

In our analysis we use the process of deduction and as our case study design is a cumulative one and derived from the individual theories which emphasise on cognitive behaviour, relationship and characteristics of usage.

3.3 Data Collection

Secondary data are data that have already been collected for other purposes, perhaps processed and subsequently stored. Two ways searching for secondary data are library and desk researches (Saunders et al., 2003). Our research project requires a combination of both secondary and primary data to answer our research questions. We will use secondary data to learn more about the subject but also to be able to write our theory parts to give the readers necessary background knowledge to our research questions.

The primary data will be collected through our research further on in the dissertation. When working with secondary data it is important to be observant and have a critical attitude towards the literature (Saunders et al., 2003). The sources we used to collect information to the theory parts are books and articles.

It is important to be aware that books may contain out-of-date material; this is why we borrowed the latest copy of the books. We also used articles from the databases through the University, because the information available in databases is rather new.

3.3.1 Reliability and validity of secondary data

The reliability and validity ascribed to secondary data are functions of the method by which the data were collected and the source. Looking at the source of the data can make a quick assessment of both reliability and validity. It is particularly important to look up the source when searching information via the Internet (Saunders et al., 2003). This is why we searched for information via the University’s databases.

Though the information seems valid, it is important to have a critical sight towards the information, which we believe we had. The other source we used to the theory parts is books; tough it is printed material with known authors it would be wrong to rely on it completely. Secondary data that fail to provide the information needed to answer the research questions or meet the objectives will result in invalid answers (Saunders et al., 2003).

3.4 Research Methods

The overall goal in selecting basic business research method(s) is to get the most useful information to key decision makers in the most cost-effective and realistic fashion. Consider the following questions (www.managementhelp.org):

• What information is needed to make current decisions about a product or program?

• Of this information, how much can be collected and analyzed in a low-cost and practical manner, e.g., using questionnaires, surveys and checklists?

• How accurate will the information be (reference the above table for disadvantages of methods)?

• Will the methods get all of the needed information?

• What additional methods should and could be used if additional information is needed?

• Will the nature of the audience conform to the methods, e.g., will they fill out questionnaires carefully, engage in interviews or focus groups, let you examine their documentations?

• How can the information be analyzed?

3.4.1 Research Tools - Survey

A questionnaire with closed questions, to answer the ‘what’ and the ‘how’ questions with regard to exposure to motivations of social networking site usage and its influence on degree of interaction and word of mouth will be used in the survey. This method allows easy comparisons to be made with existing data on the subject. However, Saunders et al (2003) says that this data is limited to the questions asked and also depends on the goodwill of people to respond.

3.4.2 Sample for questionnaire

The sample of 200 Orkut and Facebook users, between the age of 15-20 in one group, and 16-21 second group will be representatives chosen from within the Eastern London region, as respondents for the questionnaire. The groups will be a mixture of boys and girls who are given the same questionnaire.

The sample set will be divided into two equal groups on time series basis (2 week difference). This is because to avoid unreliable data due to seasonal buying patterns. The first sample group of 100 Orkut and Facebook users can be called “Pilot Group”. The sampling method used will be convenience sampling in order to enhance the reliability of the data provided by children.

3.4.3 Focus group

A focus group consisting of Orkut and Facebook within the age group 15-20, from Eastern London area will participate in a discussion about the influence of motivations on word of mouth and degree of interaction. The interviews will be recorded for analysing later, which will be mentioned to the group, prior to inviting them for the discussion.

The duration will be 45-60 minutes. Interviews will be taken twice i.e. after four weeks in order to increase reliability and validity of our research. We title the time span as 2008A and 2008B. Some people may change.

3.4.4 Questions for the focus group discussion

A set of open ended questions will be asked to gain a wider picture of the influence of motivations for usage of social networking sites on word of mouth and degree of interaction. The questionnaires will be administered personally and any reliable sources available at the time of administering of the questionnaire. We will conduct the focus group, personally, and the information recorded for further analysis that will be notified to the respondents prior to the interview.

3.4.5 Triangulation

All the data collected from secondary and primary sources will be analysed to make any comparisons in data patterns within the sources, identify a new hypothesis or trend, and to identify any possible factors present in the results of the analysis, for future research.

3.4.6 Equipment and software for analysing and designing

Proposed software to be used;

• MS Word - To produce the Main Document

• Snap7 - To design the questionnaires

• MS Excel - To analyse data collected and to produce graphs and charts to be embedded in main document.

• SPSS- Regression analysis to determine the correlation between motivations of using social networking sites on word-of-mouth and degree of interaction.

References

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