跳到主要內容

臺灣博碩士論文加值系統

(44.192.49.72) 您好!臺灣時間:2024/09/19 21:13
字體大小: 字級放大   字級縮小   預設字形  
回查詢結果 :::

詳目顯示

: 
twitterline
研究生:阮氏雪芽
研究生(外文):Russi
論文名稱:探究社群媒體顧客品牌投入之前因與後果
論文名稱(外文):Exploring the Antecedents and Consequences of Customers’ Brand Engagement in Social Media
指導教授:林鴻銘林鴻銘引用關係
指導教授(外文):Hung-Ming, Lin
口試委員:高登第顏于翔
口試日期:2017-06-07
學位類別:碩士
校院名稱:明新科技大學
系所名稱:管理研究所碩士班
學門:商業及管理學門
學類:企業管理學類
論文種類:學術論文
論文出版年:2017
畢業學年度:105
語文別:英文
論文頁數:49
中文關鍵詞:PLS-SEM結構方程模式
外文關鍵詞:customers’ brand engagement, trust, buying intention, PLS-SEM
相關次數:
  • 被引用被引用:0
  • 點閱點閱:132
  • 評分評分:
  • 下載下載:11
  • 收藏至我的研究室書目清單書目收藏:1
現今社群網站以驚人的速度進入人們的日常生活。社群網站作為有效的行銷工具,已廣泛被應用於網路行銷。因此,本研究以探討信任感、社會存在感和知覺有用性作為測量社交媒體上的顧客品牌參與度,將以此探討顧客品牌參與度與購買意圖之關係。
本研究方法採用網路問卷進行實證性研究,共回收222份有效問卷,並使用Smart PLS 3.2.6軟體做PLS-SEM結構方程模式分析。
此研究結果顯示,信任感顯著影響社群內容貢獻和社群內容創造。知覺有用性對社群內容創造創造無正面影響,正如社會存在感對社群內容貢獻與社群內容創造也無影響。研究結果僅貢獻於品牌相關內容對購買意圖有顯著影響。此研究提供經營者在Facebook行銷與營運的參考。


關鍵字:顧客品牌參與度、信任感、購買意圖、PLS-SEM結構方程模式

Social networking sites (SNSs) nowadays have infiltrated people’s daily life with an amazing speed. As an effective marketing tool, social networking sites have been widely used for businesses to conduct online marketing activities. Therefore, this research tries to measure the level of customer engagement in brand-related content on social media depending on such factors as trust, social presence and perceived usefulness. That will explore the relationship between the degrees of customer engagement on buying intention.
This study used an online questionnaire to conduct an empirical research, and collected and analyzed data of 222 samples by partial least squares structural equation modeling (PLS-SEM) approach with Smart PLS 3.2.6 software.
Findings show that trust significantly affects both contribution and creation. Perceived usefulness negatively affects creation while social presence does not affect both. The results also show that only contribution to brand-related content significantly influences on buying intention. The implications of research and discussions provide references for Facebook operators and managers in marketing and operation.

CHAPTER 1: INTRODUCTION 1
1.1. Background 1
1.2. Research Objectives 2
1.3. Research Procedure 3
CHAPTER 2: LITERATURE REVIEW 4
2.1. Consumer’s Engagement with Brand-related Content 4
2.2. Trust 5
2.3. Social Presence 8
2.4. Perceived Usefulness 10
2.5. Hypotheses 11
CHAPTER 3: METHODOLOGY 14
3.1. Research Framework 14
3.2. Sample and Data Collection 14
3.3. Measurement Development 15
3.4. Data Analysis 16
CHAPTER 4: RESULTS……………………………………………………………21
4.1. Descriptive Statistics……………………………………………………..…..21
4.1.1. Characteristics of Respondents…………………………………………21
4.1.2. Measured Constructs……………………………………………………22
4.2. Reliability & Validity…………………………………………………………24
4.2.1. Reliability………………………………………………………….…….25
4.2.2. Validity………………………………………………………………...…25
4.2.3. Structural Model……………………………………………………,.….27
CHAPTER 5: CONCLUSIONS…………………………………………………….29
5.1. Conclusion…………………………………………………………………….29
5.2. Discussion……………………………………………………………………..30
5.3. Implications…………………………………………………………………...31
5.4. Limitations and Future Research…………………………………...…...….32
REFERENCES 33
APPENDIX A………………………………………………………………………...40
APPENDIX B………………………………………………………………………...45

Adams, D. A., Nelson, R. R., & Todd, P. A. (1992). Perceived usefulness, ease of use, and usage of information technology: A replication. MIS Quarterly, 16(2), 227-247.
Agnihotri, R., Kothandaraman, P., Kashyap, R., & Singh, R. (2012). Bringing “social” into sales: The impact of salespeople’s social media use on service behaviors and value creation. Journal of Personal Selling & Sales Management, 32(3), 333-348.
Ahn, T., Ryu, S., & Han, I. (2007). The impact of Web quality and playfulness on user acceptance of online retailing. Information & Management, 44(3), 263-275.
Ali, H. (2011). Exchanging value within individuals’ networks: Social support implications for health marketers. Journal of Marketing Management, 27(3-4), 316-335.
Büttner, O. B., & Göritz, A. S. (2008). Perceived trustworthiness of online shops. Journal of Consumer Behaviour, 7(1), 35-50.
Ba, S., & Pavlou, P. A. (2002). Evidence of the effect of trust building technology in electronic markets: Price premiums and buyer behavior. MIS Quarterly, 26(3), 243-268.
Bagozzi, R. P., & Yi, Y. (1988). On the evaluation of structural equation models. Journal of the Academy of Marketing Science, 16(1), 74-94.
Ballantine, P. W., & Stephenson, R. J. (2011). Help me, I'm fat! Social support in online weight loss networks. Journal of Consumer Behaviour, 10(6), 332-337.
Blau, P. M. (1964). Exchange and power in social life. New York: Wiley.
Cao, M., Zhang, Q., & Seydel, J. (2005). B2C e-commerce web site quality: An empirical examination. Industrial Management & Data Systems, 105(5), 645-661.
Carlos Roca, J., José García, J., & José de la Vega, J. (2009). The importance of perceived trust, security and privacy in online trading systems. Information Management & Computer Security, 17(2), 96-113.
Chang, M. K. (1998). Predicting unethical behavior: A comparison of the theory of reasoned action and the theory of planned behavior. Journal of Business Ethics, 17(16), 1825-1834.
Chen, Y.-H., & Barnes, S. (2007). Initial trust and online buyer behaviour. Industrial Management & Data Systems, 107(1), 21-36.
Chen, Y., Fay, S., & Wang, Q. (2011). The role of marketing in social media: How online consumer reviews evolve. Journal of Interactive Marketing, 25(2), 85-94.
Chin, W. W. (1998a). The partial least squares approach to structural equation modeling. Modern Methods for Business Research, 295(2), 295-336.
Chin, W.W. (1998b). Issues and opinion on structural equation modelling. Management Information Systems Quarterly, 22(1), 1-8.
Chin, W. W., Gopal, A., & Salisbury, W. D. (1997). Advancing the theory of adaptive structuration: The development of a scale to measure faithfulness of appropriation. Information Systems Research, 8(4), 342-367.
Christodoulides, G. (2009). Branding in the post-internet era. Marketing Theory, 9(1), 141-144.
Chwelos, P., Benbasat, I., & Dexter, A. S. (2001). Research report: Empirical test of an EDI adoption model. Information Systems Research, 12(3), 304-321.
Daft, R. L., & Lengel, R. H. (1983). Information richness. A new approach to managerial behavior and organization design: Greenwich, CT: JAI Press.
Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319-340.
Davis, F. D. (1993). User acceptance of information technology: system characteristics, user perceptions and behavioral impacts. International Journal of Man-Machine Studies, 38(3), 475-487.
Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1989). User acceptance of computer technology: A comparison of two theoretical models. Management Science, 35(8), 982-1003.
De Vries, L., Gensler, S., & Leeflang, P. S. (2012). Popularity of brand posts on brand fan pages: An investigation of the effects of social media marketing. Journal of Interactive Marketing, 26(2), 83-91.
Diffley, S., Kearns, J., Bennett, W., & Kawalek, P. (2011). Consumer behaviour in social networking sites: Implications for marketers. Irish Journal of Management, 30(2), 47-65.
Dwyer, C., Hiltz, S., & Passerini, K. (2007). Trust and privacy concern within social networking sites: A comparison of Facebook and MySpace. AMCIS 2007 Proceedings, 339-350.
Fishbein, M., & Ajzen, I. (1977). Belief, attitude, intention, and behavior: An introduction to theory and research. Readind, MA: Addison-Wesley.
Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18(3), 39-50.
Gefen, D. (2000). E-commerce: The role of familiarity and trust. Omega, 28(6), 725-737.
Gefen, D., Karahanna, E., & Straub, D. W. (2003a). Inexperience and experience with online stores: The importance of TAM and trust. IEEE Transactions on Engineering Management, 50(3), 307-321.
Gefen, D., Karahanna, E., & Straub, D. W. (2003b). Trust and TAM in online shopping: An integrated model. MIS Quarterly, 27(1), 51-90.
Gefen, D., & Straub, D. (1997). Gender differences in perception and adoption of email: A cross-cultural perspective. MIS Quarterly, 21(4), 389-400.
Gudergan, S. P., Ringle, C. M., Wende, S., & Will, A. (2008). Confirmatory tetrad analysis in PLS path modeling. Journal of Business Research, 61(12), 1238-1249.
Gunawardena, C. N. (1995). Social presence theory and implications for interaction and collaborative learning in computer conferences. International Journal of Educational Telecommunications, 1(2/3), 147-166.
Hair, J. F., Black, W. C., Babin, B. J., Anderson, R. E., & Tatham, R. L. (1998). Multivariate data analysis (Vol. 5). London: Prentice Hall.
Hair, J. F., Sarstedt, M., Ringle, C. M., & Mena, J. A. (2012). An assessment of the use of partial least squares structural equation modeling in marketing research. Journal of the Academy of Marketing Science, 40(3), 414-433.
Han, B., & Windsor, J. (2011). User's willingness to pay on social network sites. Journal of Computer Information Systems, 51(4), 31-40.
Henseler, J., & Chin, W. W. (2010). A comparison of approaches for the analysis of interaction effects between latent variables using partial least squares path modeling. Structural Equation Modeling, 17(1), 82-109.
Henseler, J., & Fassott, G. (2010). Testing moderating effects in PLS path models: An illustration of available procedures. Handbook of Partial Least Squares (pp. 713-735): Springer.
Herrmann, A., Hahn, C. H., Johnson, M. D., & Huber, F. (2002). Capturing customer heterogeneity using a finite mixture PLS approach. Schmalenbach Business Review, 54(3), 243-269.
Hoffman, D. L., & Novak, T. P. (1996). Marketing in hypermedia computer-mediated environments: Conceptual foundations. The Journal of Marketing, 19(4), 50-68.
Jarvenpaa, S. L., Tractinsky, N., & Saarinen, L. (1999). Consumer trust in an internet store: A cross‐cultural validation. Journal of Computer‐Mediated Communication, 5(2), 51-61.
Kane, G. C., Fichman, R. G., Gallaugher, J., & Glaser, J. (2009). Community relations 2.0. Harvard Business Review, 87(11), 45-50, 132.
Kang, Y. S., & Lee, H. (2010). Understanding the role of an IT artifact in online service continuance: An extended perspective of user satisfaction. Computers in Human Behavior, 26(3), 353-364.
Katos, V. (2012). An integrated model for online transactions: Illuminating the black box. Information Management & Computer Security, 20(3), 184-206.
Keen, P., Ballance, G., Chan, S., & Schrump, S. (1999). Electronic commerce relationships: Trust by design: Prentice Hall PTR.
Kim, J. B. (2012). An empirical study on consumer first purchase intention in online shopping: Integrating initial trust and TAM. Electronic Commerce Research, 12(2), 125-150.
Kim, S., & Park, H. (2013). Effects of various characteristics of social commerce (s-commerce) on consumers’ trust and trust performance. International Journal of Information Management, 33(2), 318-332.
Kwon, O., & Wen, Y. (2010). An empirical study of the factors affecting social network service use. Computers in Human Behavior, 26(2), 254-263.
Lee, M.-C. (2009). Factors influencing the adoption of internet banking: An integration of TAM and TPB with perceived risk and perceived benefit. Electronic Commerce Research and Applications, 8(3), 130-141.
Li, C., & Bernoff, J. (2011). Groundswell, Expanded and Revised Edition: Winning in a World Transformed by Social Technologies. Boston, MA: Harvard Business School Press.
Li, F., ZHOU, N., Kashyap, R., & YANG, Z. (2008). Brand trust as a second-order factor. An alternative measurement model. International Journal of Market Research, 50(6), 817-950.
Liang, T.-P., & Turban, E. (2011). Introduction to the special issue social commerce: A research framework for social commerce. International Journal of Electronic Commerce, 16(2), 5-14.
Lu, H.-P., & Hsiao, K.-L. (2010). The influence of extro/introversion on the intention to pay for social networking sites. Information & Management, 47(3), 150-157.
Luhmann, N. (1982). Trust and power. London: Wiley.
McKnight, D. H., Cummings, L. L., & Chervany, N. L. (1998). Initial trust formation in new organizational relationships. Academy of Management Review, 23(3), 473-490.
Muntinga, D. G., Moorman, M., & Smit, E. G. (2011). Introducing COBRAs: Exploring motivations for brand-related social media use. International Journal of Advertising, 30(1), 13-46.
Mutz, D. C. (2005). Social trust and e-commerce experimental evidence for the effects of social trust on individuals’ economic behavior. Public Opinion Quarterly, 69(3), 393-416.
Naylor, R. W., Lamberton, C. P., & West, P. M. (2012). Beyond the “like” button: The impact of mere virtual presence on brand evaluations and purchase intentions in social media settings. Journal of Marketing, 76(6), 105-120.
Nunnally, J. (1978). Psychometric theory. New York: McGraw-Hill.
Palmer, J., & Bailey, J. Faraj. S.(2000). The role of intermediaries in the development of trust on the WWW: The use and prominence of trusted third parties and privacy statements. Journal of Computer-Mediated Communication, 5(3), 39-50.
Perea y Monsuwé, T., Dellaert, B. G., & De Ruyter, K. (2004). What drives consumers to shop online? A literature review. International Journal of Service Industry Management, 15(1), 102-121.
Piller, F. T., & Walcher, D. (2006). Toolkits for idea competitions: A novel method to integrate users in new product development. R&D Management, 36(3), 307-318.
Powell, J. (2009). 33 Million people in the room: How to create, influence, and run a successful business with social networking. NJ: FT Press.
Rice, R. E., Hughes, D., & Love, G. (1989). Usage and outcomes of electronic messaging at an R&D organization: Situational constraints, job level, and media awareness. Office Technology and People, 5(2), 141-161.
Rigdon, E. E., Ringle, C. M., & Sarstedt, M. (2010). Structural modeling of heterogeneous data with partial least squares. Review of Marketing Research, 7(2), 255-296.
Ringle, C. M., Wende, S., & Becker, J.-M. (2015). SmartPLS 3. Boenningstedt: SmartPLS GmbH, http://www. smartpls. com.
Sapsford, R. (2006). Survey research: Sage.
Sarstedt, M., Becker, J.-M., Ringle, C. M., & Schwaiger, M. (2011). Uncovering and treating unobserved heterogeneity with FIMIX-PLS: Which model selection criterion provides an appropriate number of segments? Schmalenbach Business Review, 63(1), 34-62.
Schivinski, B., Christodoulides, G., & Dabrowski, D. (2016). Measuring consumers' engagement with brand-related social-media content. Journal of Advertising Research, 56(1), 64-80.
Shin, D.-H. (2013). User experience in social commerce: In friends we trust. Behaviour & Information Technology, 32(1), 52-67.
Short, J., Williams, E., & Christie, B. (1976). The social psychology of telecommunications. London: Wiley.
Slack, N. (1994). The importance-performance matrix as a determinant of improvement priority. International Journal of Operations & Production Management, 14(5), 59-75.
Sledgianowski, D., & Kulviwat, S. (2009). Using social network sites: The effects of playfulness, critical mass and trust in a hedonic context. Journal of Computer Information Systems, 49(4), 74-83.
Song, J., & Zahedi, F. M. (2005). A theoretical approach to web design in e-commerce: A belief reinforcement model. Management Science, 51(8), 1219-1235.
Stewart, D. W., Pavlou, P., & Ward, S. (2002). Media influences on marketing communications. Media Effects: Advances in Theory and Research, 14(5), 353-396.
Straub, D., Boudreau, M.-C., & Gefen, D. (2004). Validation guidelines for IS positivist research. The Communications of the Association for Information Systems, 13(1), 63-80.
Straub, D. W. (1994). The Effect of Culture on IT Diffusion: E-Mail and FAX in Japan and the US. Information Systems Research, 5(1), 23-47.
Tapscott, D. (2008). Grown up digital: How the net generation is changing your world HC: McGraw-Hill.
Tu, C.-H., & McIsaac, M. (2002). The relationship of social presence and interaction in online classes. The American Journal of Distance Education, 16(3), 131-150.
Völckner, F., Sattler, H., Hennig-Thurau, T., & Ringle, C. M. (2010). The role of parent brand quality for service brand extension success. Journal of Service Research, 13(4), 379-396.
Vinzi, V. E., Chin, W. W., Henseler, J., & Wang, H. (2010). Handbook of partial least squares: Concepts, methods and applications: Springer Science & Business Media.
Wasko, M. M., & Faraj, S. (2005). Why should I share? Examining social capital and knowledge contribution in electronic networks of practice. MIS Quarterly, 18(2), 35-57.
Westen, D., & Rosenthal, R. (2003). Quantifying construct validity: two simple measures. Journal of Personality and Social Psychology, 84(3), 608.
Wetzels, M., Odekerken-Schröder, G., & Van Oppen, C. (2009). Using PLS path modeling for assessing hierarchical construct models: Guidelines and empirical illustration. MIS Quarterly, 33(1), 177-195.
Williams, E. (1977). Experimental comparisons of face-to-face and mediated communication: A review. Psychological Bulletin, 84(5), 963-976.
Wu, J.-H., Chen, Y.-C., & Lin, L.-M. (2007). Empirical evaluation of the revised end user computing acceptance model. Computers in Human Behavior, 23(1), 162-174.
Wu, J.-J., & Tsang, A. S. (2008). Factors affecting members' trust belief and behaviour intention in virtual communities. Behaviour & Information Technology, 27(2), 115-125.
Yao-Hua Tan, W. T. (2000). Toward a generic model of trust for electronic commerce. International Journal of Electronic Commerce, 5(2), 61-74.
Yen, D. C., Wu, C.-S., Cheng, F.-F., & Huang, Y.-W. (2010). Determinants of users’ intention to adopt wireless technology: An empirical study by integrating TTF with TAM. Computers in Human Behavior, 26(5), 906-915.

QRCODE
 
 
 
 
 
                                                                                                                                                                                                                                                                                                                                                                                                               
第一頁 上一頁 下一頁 最後一頁 top