Research into Consumers’ User Acceptance Willingness of Mobile Advertising Zhong He , Xia Chen , Ting-jie Lv School of Economics and Management, Beijing University of Posts and Telecommunications, Beijing, China (hezhong0222@163.com) Abstract - Mobile internet is being used by countless people. But how to design the applications after all can make customers accept it more easily? In various mobile internet applications, mobile advertisement is facing rapid development trends and various inevitable problems, and becomes a typical mobile internet application. So it is necessary to carry out a deep research into its user acceptance willingness. Based on the discussion of definition, characteristics, types and business model of mobile advertisements, this paper establishes a consumer acceptance model with UTAUT as the base model, and an empirical study is given as well. Keywords - Mobile Interne; Mobile Advertising; UTAUT; SEM I. INTRODUCTION With the maturity of 3G network and smart phones, china mobile internet subscribers grow explosively, and subscribers have strong demands for various kinds of mobile Internet application. Therefore, it is just the best time for the development of China's mobile internet. However, to be success in the mobile internet industry is not easy. Among the mass mobile internet applications, some are very successful and spread widely in short time, but some other are unsuccessful and disappear quickly. There are many factors influencing the acceptance extent of an application, so the thorough knowledge of each influencing factor will contribute to the spread of mobile internet applications. As a mobile internet business, mobile advertising is no exception. Therefore, this paper will mainly focus on the spread of mobile advertisement. TAM is the classical model to research the influencing factors of consumer’s acceptance of an innovation. In 1989, the Technology Acceptance Model (TAM) is put forward by Davis when he studied the customers’ acceptability to the information system via the use of theory of reasoned action, with initial purpose being make an explanation on the decisive factor for the general acceptability to computer. [1][2] Venkatesh made a second improvement on the TAM Theory. Targeted at the discussion about factors affecting the customers’ recognition and on the basis of the research on basic structure of theory of reasoned behavior, theory of planned behavior, technology acceptance model, motivation theory, theory of social recognition and computer use model, they put forward the unified model covering elements included in the major models- Unified Theory of Acceptance and Use of Technology / UTAUT via the verified comparison for the major models. And this model notes that variables such as sex, age, experience and voluntary control variable can have significant influence on the dimensionality of performance expectancy, effort expectancy, social effects and factors of fulfillment. Besides, the four relations will directly affect the intention to use and the cooperation dimensionality will directly affect the actual system use. Through differently demonstration analysis of enterprises from different industries, UTAUT model have a higher reliability and validity. UTAUT model can explain 70% technology acceptance behavior, equaling with the previous 40% explanations, so UTAUT improves a lot.[3-5] II. MOBILE ADVERTISEMENT A. Definition of mobile advertisement Mobile advertisement arose along with the development of mobile data services. It is one of the mobile value-added services, starting as an extension of the combination of mobile location services (LBS) and advertising services. Mobile advertisement is actually a kind of interactive network advertisement, which is carried by mobile communication network, possesses all the characteristics of network media, and at the same time has more advantages than the internet, for mobility can make users receive information anytime anywhere. Mobile advertisement is regarded as the best stage to carry out precision marketing based on the user database in the future commercial advertisement and for the advertisers to select appropriate people on purpose to spread targeted business information. The biggest highlight is to combine mobile phone with advertisement, forming the situation in which the three sides of customers, merchants and operators all benefit from it.[6][7] B. Characteristics of mobile advertisement As a firenew advertisement form, compared with other media advertisements, mobile advertisement mainly has the following major characteristics: (1)Accuracy: mobile phone advertisement can send advertisements directly to the users’ mobile phones according to the users’ practical and real-time situation, really achieving “accurate dissemination”. (2)Instantaneity: the instantaneity of mobile phone advertisement comes from its mobility, mobile phone advertisement has broken through the constraints of time and regions, users can receive advertisement information quickly anytime and anywhere, and such a spread velocity is incomparable with any previous media. (3)Interaction characteristic: as the perfect combination of internet technology and mobile communication technology, 3G mobile phone media can give full play to the advantage of interactive function, and integrate interactive elements into the originality of mobile phone advertisement, making users carry out the feedback interaction after receiving advertisements anytime and anywhere;(4)Diffusibility: mobile phone advertisement’s diffusibility is also can be said to be the characteristic of being transmitted, which means users can transmit the advertisements that they think to be useful to their relatives and friends, diffusing information or spread advertisements to the people around; (5)Integrity: the integrity advantage of mobile phone benefits from the rapid development of 3G technology. Mobile phone advertisements can be shown in different forms of characters, sounds, images and moving pictures, etc.; (6)Measurability: the advertisers can cooperate with mobile communication operators actively and trace and monitor the advertising effectiveness periodically and directionally; (7)Low cost: as a kind of advertisement media, 3G mobile phone has the strong characteristics of separating people and personalization, and it can realize market segments, providing corresponding advertisements and information for the potential target audience. Therefore, compared with traditional media advertisements, mobile phone advertisement has prominent cost advantage, and maybe it can turn the CPA charge method into reality.[8][9] C. Types of mobile advertising Mobile advertisements can be classified according to different standards, such as carrying ways, content format, type model and push ways, etc.[10][11] According to content formats: mobile advertisements are divided into text advertisement, image advertisement, video advertisement, audio advertisement and hybrid form advertisement, etc.; according to push ways: mobile advertisements are divided into push advertisement and pull advertisement; according to release form: mobile advertisements are divided into information advertisement, terminal embedded advertisement, voice advertisement, video advertisement, WAP advertisement, mobile search advertisement and wireless location advertisement, etc. D. Business model of mobile advertisement The business model of mobile advertisement in 3G times shall take meeting users’ individual needs as its centre, provide more value-added services for users, realize exact marketing and develop user active advertisement, thus achieving a victory for many sides in the whole industry chain of mobile advertisement. Specifically, there are 3 main business models of mobile advertisement: mobile search advertisement model、implanted advertisement model、scene push advertisement model. The business model of mobile search advertisement is similar to that of the internet search, that is, to provide free search services for the users and charge the trade company according to the pay-per-click keywords. Nowadays, there are two common forms of mobile search advertisement as follows: Mobile phone real name search advertisement; Local search advertisement. There are two common forms of implanted advertisement model as follows: terminal implanted; contents implanted. And there are two common forms of scene push advertisement model as follows: Scene push advertisement model combined with major events or activities; Scene push advertisement model based on location.[12][13] III. THE UTAUT MODEL A. Research variables After many investigations and analysis, UTAUT model can explain acceptance behavior of mobile data business. Therefore, based on this, the model’s main body will be designed and studied. The model’s main body holds four dimensionalities of UTAUT model, which are performance expectancy, effort expectancy, social impact and promotion condition. Performance expectancy means that mobile advertising can provide the needed services for users, thus improve users’ life, study and work. Effort expectancy means whether the individual thinks mobile advertising service is easy to use the system. Social impact means social and surrounding people’s opinions and views on mobile advertising can easily affect users’ acceptance. The youth is the main force of developing mobile advertising, so young people are the main respondents. In addition, mobile phone has been popularized in recently years. And at the same time, the mobile advertising is still at the early development in the market, which is new concept and business form for users. Therefore, there are no problems about experiences and voluntariness. Based on the analysis above, study model in the dissertation does not take age, gender, experience and voluntariness into account. According to the development and characteristics of mobile advertising and based on the UTAUT model, we added three variables, they are perceived cost, perceived playfulness, perceived risk. Perceived cost means that the customers need to pay more cost on equipment change and payment of flow fee on the characteristics of mobile advertising business. Perceived playfulness means that users focus on a mobile advertisement and are willing to interact to satisfy their need for a product and service. In the meanwhile, when used mobile advertisement, speedy, accuracy and delicate pictures of advertisement will bring pleasure. Perceived risk means customers’ any purchasing behavior can not ensure the correctness of expected results, yet some results may cause customers’ unpleasure and then affect users’ acceptances. B. Research model and research assumption Based on the above analysis and research, this section introduces the general concept model of mobile advertising users’ acceptable behavior shown in the following fig. 1.The research tries to study mobile advertising users’ acceptable behavior for mobile advertising business from the perspective of users’ recognition. According to research purpose and literature study, the research hypothesis is established shown in the following Table II. development in the market, young people from eighteen to twenty-nine are the main respondents. 325 questionnaires were sent out, 319 were returned and 310 were valid. D. Empirical study Reliability coefficient is commonly used to show the degree of test reliability. The reliability of all problems of the questionnaire is 0.925 according to Cronbach’s Alpha’ reliability standard; it belongs to high reliability standard. Cronbach’s Alpha’s value of various models are all larger than 0.500 which reaches reliability requirement, namely the test result reliability of problem can be accepted. Validity refers to the close degree between test result and expectation and assesses bias and systematic difference. All factor loads are all larger than 0.45. As mentioned above, if factor load is larger than 0.45, question options may not be deleted.[14] The research adopts Lisrel8.7 to handle and analyze the model. We built on the research base of UTAUT model and works out standard regression coefficient to know the relation among various variables and verify the truth of relevant research and assumption so as to conclude final route relation chart.[15]The results can be seen in Fig. 1 and Table Ⅰ. Effort Expectancy 0.73 -0.23 Performance Expectancy 0.27 Usage Willingness 0.53 Usage Behavior 0.74 0.41 Social Impact Promotion Condition -0.09 0.16 -0.06 C. Questionnaire design and data collected Perceived Risk Perceived Cost Perceived Playfulness Fig. 1 Conception model and the results Questionnaire is an important instrument to investigate and study the collected data. Likert’s five-scale is adopted in this paper to design the questionnaire. This questionnaire consists of three parts. At the beginning, it presents the objectives and purposes of this research and then gives the definitions of mobile advertising and classifications. The second part in the questionnaire deals with personal information with five items, including gender, age, education and incomes, together with the monthly communication expenditures according to the characteristics of value-added service. In order to know users’ opinions about mobile advertising, part three contains thirty questions to investigate their acceptability and intentions to use it. As the mobile advertising is still at the early According to route coefficients of various variables, direct effect and indirect effect of use behavior of mobile advertising business from various variables. According to the degree of influence on effect, from big to little such as social influence (0.74), efforts expectancy (0.73), using willingness (0.53), promotion condition(0.41), performance expectancy (0.27), perceived playfulness(0.16), perceived risk(-0.06), perceived cost(-0.09) ,effort expectancy (-0.23). Based on the analysising and processing results of the structural equation, the initial research hypotheses in this study are to be verified, of which the results are shown as in Table Ⅱ. TABLE I ASSESSMENT OF CONCEPTION MODEL OF ACCEPTANCE BEHAVIOR OF MOBILE ADVERTISING Assessment standard Index Model value Acceptable Good Chi-square/d.f. <3.0 2.42 goodness-of-fit index, GFI >0.9 0.83 [0.70, 0.9) Adjust goodness-of-fit index, AGFI >0.9 0.79 [0.70, 0.9) comparative fit index, CFI >0.9 0.96 [0.70, 0.9) root mean square error of Approximation, RMESA <0.01 <0.08 0.068 non-normed fit index, NNFI >0.8 >0.9 0.96 TABLE Ⅱ ASSUMPTION VERIFICATION of ACCEPTANCE BEHAVIOR RESEARCH of MOBILE ADVERTISING Assumption content Result Users’ efforts expectation in mobile advertising have an active influence on performance expectation Yes Users’ efforts expectation in mobile advertising have an active influence on performance expectation No Users’ social influence on mobile advertising is active to use willingness Yes Users’ perceived cost to mobile advertising is negative to use willingness Yes Users’ perceived entertainment to mobile advertising is active to use willingness Yes Users’ perceived risk to mobile advertising is negative to use willingness Yes Users’ performance expectation to mobile advertising is active to use willingness Yes Users’ promotion conditions to mobile advertising is active to use behavior Yes Users’ use willingness to mobile advertising is active to use behavior Yes No. H1 H2 H3 H4 H5 H6 H7 H8 H9 [7] IV. STRATEGIES and ADVICES [8] Through the research on users’ acception willingness upon mobile advertising above, we have strategies and proposals upon mobile advertising development. Taking user’s feature into consideration, excavate user’s individual demands deeply and provide services according to user’s individual demands; Protect the consumers’ privacy by reasonable marketing; Expand the present ways of mobile advertisement actively, and enhance the cooperation with other members in the industrial chain, such as terminal manufacturers and application developers. [9] [10] [11] [12] [13] REFERENCES [1] [2] [3] [4] [5] [6] F. D. Davis, “Perceived usefulness, perceived ease of use, and user acceptance of information technology”, MIS Quarterly,vol. 13,no.3, pp.319- 340,1989. F. D. Davis, R. P. Bagozzi, P. R. Warshaw, “User Acceptance of Computer Technology: A Comparison of Two Theoretical Models,” Management Science ,vol. 35,no.8, pp.982- 1003, 1989. V. Venkatesh, M. G. Morris, G. B. Davis, F. D. Davis, “User Acceptance of Information Technology: toward a unified view,” MIS Quarterly,vol.27,no,3,pp.425-478, 2003 Imsook Ha, Youngseog Yoon, Munkee Choi, “Determinants of adoption of mobile games under mobile broadband wireless access environment,” information & Management, vol.44, no.3 , pp.276-286, 2007. R. L. Thompson, C. A. Higgins, J. M. Howell, “ Personal Computing: toward a Conceptual Model of Utilization, ”MIS Quarterly ,vol.15,no.1,pp.125-143, 1991 Guo Jing, “Prediction of Mobile Advertising Development, ”Mobile Communications, no.7, pp.16-20, 2008 [14] [15] Yin Taifen, “Analysis on Present Situation and Resolution of Mobile Advertising Market, ” Culture and Media,no.2, pp.270, 2009. Guo Junfeng, “Discussion on Commercial Mode of Mobile Advertising Market,” Administration Science and Engineering Development Report of China of 2005, pp.389-395,2005 Wang Chuansan, “Individual Research of Mobile Advertising [Master Thesis] ”, University of Science and Technology of China, 2008 Shen Xiang, “Case Study on the Behavior Attempts for Using Mobile Advertisement by National User, [Ph. D. Essay], ”China University of Science and Technology, 2008 Zhang Zhijiang, Zhang Haitian, “Research on 3G Mobile Phone Advertisement Mode, ”Interacting Marketing, no.7, pp. 132-133, 2009 Ling Shouxing. “Commercial Mode Research of Mobile Advertising of 3G Era, ”Commercial Era, no.28,pp.34-35, 2009 Yan Zhengshu, “Problem Study and Tactics Analysis on Mobile Phone Advertisement Mode of 3G Technology, ”Consumer Guideline,no.1,pp. 188-189,2010 Fang Min, “Reliability Testing under the Structural Equation Model, ” Chinese Journal of Health Statistics, no.5,pp.182-186,2009 Chen Qi, Liang Wannian, Meng Qun, “Structural Equation Model and Its Application, ” Chinese Journal of Health Statistics, no.2, pp.162-165,2004