Buyers’ Decisions in Online Social Networks Environment

communication. Most common technologies


Introduction
The spectacular development of recent year's technology has created new opportunities for communication industry and beyond.Therefore, communication has been reinvented with the appearance of the social media and subsequently used as a business tool.
Social media is characterized by user generated content, which has been found to be more effective than traditional marketing communications in influencing the attitudes __________________________________________________________________________________________________________________ ______________ Gheorghe Orzan, Camelia Delcea, Elisabeta Ioanas and Mihai Cristian Orzan (2015), Journal of Eastern Europe Research in Business and Economics, DOI: 10.5171/2015.287625 The consumer of information has gone from simple reader and commenter to content creator.
Web 2.0 technologies have had three effectsa shift in the locus of activity from the desktop to the Web, a shift in the locus of value production from the firm to the consumer and a shift in the locus of power away from the firm to the consumer.(Parveen et al., 2014) Social networks are a reality nowadays and have changed the way companies are managing their customer relationships.Two thirds of the world's internet users visit social networks, email activity that exceeds the top online activities.Also because of the interactive nature it made easier to improve communication with the consumers and also to receive a quick feedback about their online campaigns whether are social, political or advertising.Realizing the potential that social media has and the power it has on consumers, the companies build campaigns with the purpose to increase awareness among online consumers and to inform them about their new products and services.Companies use the online tools to attract users and to keep them permanently plugged into information using social networks like Facebook, Twitter, Google +, LinkeIn, etc.
There are various ways to communicate in the B2C medium and Leeflang et al., (2014) shows in the graphic below some of the current and future usage of the digital media tools.A it can be been the social media sites will have a high growth in the next 2-4 years.The other tools with which companies use to send messages or to create promotional advertising campaigns are: company home page, email, social media, mobile, search engines, mobile applications.Social networks such as Facebook, Google+, Twitter, and have a significant impact on how users share and exchange information.
Online social networks are associated primarily with information and communication and less games or online shopping.Thus there is direct influence between online consumer's behavior online and a social network has on and has an even more impact in the company's digital strategies.For business, it means radically rethinking how they use the social media to promote their services / products, to strengthen their brands and relate to their target audience.
Due to the advantages of social media in connecting businesses to end-consumers directly, in a timely manner and at a low cost, by facilitating various areas of marketing, such as promotions, marketing intelligence, sentiment research, public relations, marketing communications, product and customer management, social media has become the centre of attention in many industries.(Parveen et  The campaigns made through traditional media such as newspapers, magazines, and television did not interact with the consumers.Nowadays the social media receives a feedback from the consumer which can opt to avoid or to ignore online aggressive campaigns or campaigns that are not interesting for the consumer.In this way the consumer influences the social media campaigns and marketing strategies of the companies and the companies take into account the feedback received and uses to improve their image and services. The more impact the internet has in the consumer's life the more open the consumer is to the social media campaigns.Consequently even though the consumer is influenced made by campaigns made through the traditional media (radio, television, newspapers, etc.) is more influenced by campaigns made through online social networks.
Campaigns conducted through online networks enable consumers in the first phase to be informed about the product or service, and to find whether it was purchased or recommended by a friend and then compare it with other similar products / services have the most positive comments.Blogs, product reviews, discussion groups, product ratings, etc. are also important sources of information describing how customers collect information, use that information, and how that information is used in their decision-making, shopping behaviour, and post-purchase behaviour ( Also the consumer is informed through the online campaigns revealed by his friends that have purchased the service/product.In this way the consumer takes the best buying decision optimal for him by balancing the appreciations and negative aspects posted in the social networks.Most of the times the a user sees an outdoor commercial, then when he sees it on TV, listen it to the radio, reads it in newspapers and in the end observes it on online. This cycle can be reversed or mixed but in the end the consumer it's the one who decides to buy the product/service.It is really important that the companies that create advertising campaigns to implement integrated marketing campaigns because the consumer to notice the ad in the first medium may serve as a 'teaser' to attract attention to, arouse interest in, and increase curiosity for the ad in the second medium (Dijkstra et al., 2005, Edell and Keller, 1989, Edell and Keller, 1999and Voorveld et al., 2011) and then maybe will take the decision to buy it.
In this study we research if there is a connection between the advertising campaigns on social media and decisions buyers are taking and which are the most used social networks by user.

Grey Incidence Analysis
Two categories of heading are defined: 'Heading' (Bold, Left, 12 pt) with 10 point space before paragraph for the first level headings and 'Subheading' (Italic, Left) for the subsidiary level.
Even though the time interval since the appearance of grey systems theory is short, approximately 30 years, their efficiency in resolving some of the problems that may arise has been already proven.As Andrew (2011) pointed in his research we live in a world in which the mathematical models used for analysing the surrounding world are not as robust as they may be.The author gives a small example regarding the way data are processing in these analyses: one of the main hypotheses in most of the studies is that the data have a normal of Gaussian distribution, while it is well known and accepted the fact that this kind of distribution are hard to find in the real world.Considering this small, but eloquent example and others more, Andrew concluded that "we live in a grey world".(Andrew, 2011) Now, if someone is asking: "why a grey world?" the simplest response can be given by eliminating the other two possible approaches: living in a black word and living in a white world.These three possible situations are deeply stated in the control theory, where a black object is one totally unknown to the researcher while a white one is totally known.(Cotfas, 2013) Thinking of all the systems one can imagine is easy to demonstrate that none of these can be totally a black or a white system.From here, the only conclusion is that our entirely world is composed from grey systems, each of them having a smaller of a greater level of greyness, making it to be closer to a white or to a black state.
But the main characteristic of grey systems is determined by the fact that the methods and techniques employed have succeeded in offering to its users a great performance when analysing such grey systems.For this, it has been applied on a large array of domains, not necessarily from the economic field.Among these techniques, the grey incidence analysis represents one of the main features grey systems theory offers.(Delcea, 2014)Through the grey incidence, the data sets are completely analysed and interpreted starting from the similitude degree between them, by calculating geometrical distances between their evolution graphics.
As the grey incidence analysis is still a dynamic component of the grey systems theory, there have been, over the time, a lot of approaches in determining this degree: _________________________________________________________________________________________________________________ Having all these degrees of grey incidence, in this research the synthetic degree of grey incidence will be computed, as it has one of the highest applicability on small range of data.
The synthetic degree of grey incidence is calculated based on the following steps: (Liu et. al, 2004) Notations: X0 and Xj, j=1...n, with t = time period and n = variables -two sequences of data with non-zero initial values and with the same length Notations: X0 and Xj, j=1...n, with t = time period and n = variables -two sequences of data with non-zero initial values and with the same length The images sequence is given by: The initial values images of X0 and Xj are: ' The zero-start points' images calculated based on ( 9) and (10) for X0 and Xj are: The computed absolute degree of grey incidence: The relative degree of grey incidence: The synthetic degree of grey incidence is determined by both the absolute and the relative degrees of grey incidence: , ) 1 ( Having this degree of grey incidence, in the next section, the data gathered through a questionnaire on the influence of advertising campaigns in social networks on buying decision are done and the results are largely presented and interpreted.

Social Networks Case Study
In terms of advertising campaigns' efficiency through social media on buyers' decisions, a questionnaire has been used containing both open and multiple choice questions.The structure of the questionnaire along with the received answers is presented in the next section.

Survey
First of all, the survey has started in June 2013 and was available online for a period of time equal to one month.After this period, the completion report shows that 93.02% of the respondents have filled it up entirely, while 6.98% of the respondents have only partially given answers to its questions.
Among the ones that have responded on all the questions, 97.67% have said that they have an account on a social media platform.Their distribution on the existing social media platforms is presented in Fig. 1. and it shows that the largest part of them (31.78%) are using Facebook, followed by 22.48% users on YouTube, 17.83% on Google+, 14.73% on LinkedIn, 10.85% on Twitter and 2.33% on other social media platforms (such as: Pinterest, Stumbleupon, Goodreads, etc.)  Considering the respondents 'gender, 62.5% of them were women and 37.5% men, while their age was between 18 and 41 years old: 67.5% having between 18-23 years old, 22.5% between 24-29, 5.00% between 30-35 and 5.00% between 36-41, as showed in 2.

Figure 3: Respondents' age distribution
As for the advertising campaigns, 92.86% of the respondents said that they have seen a memorable campaign in the last 12 months, most of them naming social networks such as Facebook and YouTube as promoters for these advertisings.Before seeing if there is a connection between the advertising campaigns on social media and decisions buyers are taking, it was important to know how important do the buyers think is a commercial in their case and which of the advertising channels they think is more appropriate for promoting a product.For this, a 5-point Likert scale was used, where 5 was considered very important important, 2-of little importance and 1unimportant and the respondents were asked to answer to the next question: "Please indicate the degree of importance for each of the following types of advertising: TV commercials, radio commercials, newspapers commercials and social media commercials." The answers are gathered in Table 1 and pictured in Figure 3.Moreover, 82% of the respondents believed that is important to very important for any brand to have a profile on a social media platform, while 12% were indifferent to this aspect and 6% thought that this is not an important issue.
Also, 61% of them said that the social media commercials are addressing to all age categories, 29% weren't able to specify the age category, while 10% said that these are addressing especially to the young people.
As for the brands that the respondents are appreciating on social media, 80.49% of them have said that they are mostly following the brands they are used to or the brands their friends are following.
With all these considerations, the analysis can move further on the study of the impact that the advertising campaigns have on buyers' decisions, as it is presented in the next section.Here the elements taken from grey systems theory and exposed in section 2 are used for a better shaping of this relationship.

Advertising Campaigns in Social Networks vs. Decisions
measuring the impact of the advertising campaigns in social networks on buyers' decisions a series of questions have been asked, among which two are mostly important: • Think on the campaigns you have recently seen on social media and on the products that they promote.The message of the promotion campaigns stays in your memory: a day; a week; a month; more than a month; I forget it very quickly.
• Think on the same campaigns you have recently seen on social media and on the products that they promote.Regarding these products, you can say that in the last period you have bought them more often than usual.
On the first question, the answers were also quantified using a 5-point Likert scale (a day = 5, a week = 4, a month = 3, more than a month = 2 and I forget it very quickly = 1), in order to apply the grey incidence analysis.
First of all, the absolute degree of grey incidence is computed using the grey systems modelling software (Liu et al., 2010, Liu et. al, 2012), the results being displayed in Figure 4.

Figure 6: The absolute degree of grey incidence
On the same manner, the grey relative degree of grey incidence is computed.Fig. 5 is presenting the obtained results.

Figure 7: The relative degree of grey incidence
Having these two degrees of grey incidence, the synthetic degree of grey incidence can easily be computed and is approximately 0.8627.This value shows an important and strong relationship between the promotion campaigns on social media and the buying decision taken by the persons that are receiving those campaigns.
Once more, it has been proven the strength of the linkage between these two elements, which opens new research areas such as: which of the products advertised on social media are best received by their buyers, what is the impact of the message received through these advertisings on the quantity bought, which are the elements that should be more emphasised in a commercial, how original there should be a commercial, how is the overall image of a product influenced by a social media commercial.

Concluding Remarks
The widespread adoption of digital marketing techniques, including social networks, has significantly contributed to the individualisation of marketing where the providers of goods and services are increasingly communicating with individual consumers and users, gaining feedback on a one-to-one basis and providing bespoke _________________________________________________________________________________________________________________ solutions for clients (Brady et al., 2008 andSimmons, 2008).
The social networks environment in which firms are promoting their products is having a great impact on their sales situation, mostly due to the impact their campaigns have on the buyers' decision.Also the effect of an integrated campaign over the advertisers, marketing managers and media planners will have interesting implications.
In this study, the nature of this relation has been studied using grey systems theory.For this, using a questionnaire, the perception of the buyers was shaped along with decisions they have made recently.The results were conclusive: there has been proven that there is a strong positive impact on the message expressed through marketing campaigns in social networks on the buyers' decisions.
Even more, this study opens new research directions, as emphasised in section 3.

Figure 1 :
Figure 1: Current usage and future usage matrix of digital marketing tools (adapted after Leeflang et al., 2014).Facebook is the most popular social network followed by Youtube.Facebook has transformed online communication in a major social phenomenon.Founded in 2004, this social network mainly aims to connect people.If in the past online communication was achieved mainly through email, Facebook now allows users to maintain existing relationships with friends, to Mayzlin and Yoganarasinhan, 2012 and Onishi and Manchanda, 2012).__________________________________________________________________________________________________________________ ______________ Gheorghe Orzan, Camelia Delcea, Elisabeta Ioanas and Mihai Cristian Orzan (2015), Journal of Eastern Europe Research in Business and Economics, DOI: 10.5171/2015.287625 s determined by using the following formulas: __________________________________________________________________________________________________________________ ______________ Gheorghe Orzan, Camelia Delcea, Elisabeta Ioanas and Mihai Cristian Orzan (2015), Journal of Eastern Europe Research in Business and Economics, DOI: 10.5171/2015.287625 Journal of Eastern Europe Research in Business and Economics _________________________________________________________________________________________________________________ ______________ Gheorghe Orzan, Camelia Delcea, Elisabeta Ioanas and Mihai Cristian Orzan (2015), Journal of Eastern Europe Research in Business and Economics, DOI: 10.5171/2015.287625