應用程式商店對使用者應用程式的認知有很重要的影響。然而，我們認為不能僅僅使用過去在電子商務及科技使用的文獻來研究應用程式商店對使用者的影響。本研究發展一個模型來測量應用程式商店對應用程式認知之影響，及使用者使用應用程式的意圖。本研究包含305位應用程式商店使用者。研究結果顯示應用程式商店的外觀可以增加使用者對免費應用程式的新穎認知，進而影響使用者試用的意願。研究也發現應用程式商店是使用者判斷應用程式是否安全的唯一來源。此外，本研究提出策展的概念，並發現應用程式商店的策展能增加使用者對應用程式在新穎及安全性上的認知。

App stores (e.g. Google Play, Apple’s App Store) play an important role in how users perceive applications (apps) on their smart mobile device. However, there is a lack of literature in the area of mobile app store platforms, which we believe do not strictly follow theories of traditional ecommerce consumption or technology adoption. The aim of this study attempts to model how app stores affect the way people perceive free mobile apps, how they try apps and then in-app-purchase. We test our model from a survey with 305 app store users. We confirm that the visual appeal of app store can make new apps seems to be more novel, which increases users’ intention to try these apps. Furthermore, app stores are perhaps the only source where users can gain a sense of security with apps, and directly increase in-app-purchase intentions. The results also show that by curating apps, app stores enhance the novelty and security of the apps. The findings could have strategic implications for app store operators and app developers.

Benbasat, I., & Wang, W. (2005). Trust in and adoption of online recommendation agents. Journal of the Association for Information Systems,6(3), 4.

Boulding, W., and Kirmani, A. 1993. “A Consumer-Side Experimental Examination of Signaling Theory: Do Consumers Perceive Warranties as Signals of Quality?,” Journal of Consumer Research (20:1), pp. 111-123.

Chia, P. H., Yamamoto, Y., & Asokan, N. (2012, April). Is this app safe?: a large scale study on application permissions and risk signals. In Proceedings of the 21st international conference on World Wide Web (pp. 311-320). ACM.

Chin, W. W. (1995). Partial least squares is to LISREL as principal components analysis is to common factor analysis. Technology Studies, 2(2), 315-319.

Chu, W., and Chu, W. 1994. “Signaling Quality by Selling through a Reputable Retailer: An Example of Renting the Reputation of Another Agent,” Marketing Science (1986-1998) (13:2), pp. 177-189.

Cox, D. S., & Locander, W. B. (1987). Product novelty: does it moderate the relationship between ad attitudes and brand attitudes?. Journal of Advertising, 16(3), 39-44.

Dawar, N., & Parker, P. (1994). Marketing universals: Consumers' use of brand name, price, physical appearance, and retailer reputation as signals of product quality. The Journal of Marketing, 81-95.

Erdem, T., and Swait, J. 1998. “Brand Equity as a Signaling Phenomenon,” Journal of Consumer Psychology (7:2), pp. 131-157.

Eroglu, S. A., Machleit, K. A., & Davis, L. M. (2003). Empirical testing of a model of online store atmospherics and shopper responses. Psychology & Marketing, 20(2), 139-150.
Egele, M., Kruegel, C., Kirda, E., & Vigna, G. (2011, February). PiOS: Detecting Privacy Leaks in iOS Applications. In NDSS.

Felt, A. P., Chin, E., Hanna, S., Song, D., & Wagner, D. (2011, October). Android permissions demystified. In Proceedings of the 18th ACM conference on Computer and communications security (pp. 627-638). ACM.

Fiske, D. W., & Maddi, S. R. (1961). Functions of varied experience.

Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of marketing research, 39-50.

Fuller, M. A., Serva, M. A., & Benamati, J. (2007). Seeing is believing: The transitory influence of reputation information on e‐commerce trust and decision making. Decision Sciences, 38(4), 675-699.

Ha, S., & Stoel, L. (2009). Consumer e-shopping acceptance: Antecedents in a technology acceptance model. Journal of Business Research, 62(5), 565-571.

Hirschman, E. C. (1980). Innovativeness, novelty seeking, and consumer creativity. Journal of Consumer Research, 283-295.

Horn, D., & Salvendy, G. (2006). Consumer‐based assessment of product creativity: A review and reappraisal. Human Factors and Ergonomics in Manufacturing & Service Industries, 16(2), 155-175.

Hsin Chang, H., & Wen Chen, S. (2008). The impact of online store environment cues on purchase intention: Trust and perceived risk as a mediator. Online information review, 32(6), 818-841.

Hu, X., Wu, G., Wu, Y., & Zhang, H. (2010). The effects of Web assurance seals on consumers' initial trust in an online vendor: A functional perspective. Decision Support Systems, 48(2), 407-418.

Huang, C. H., Hsu, M. C., & Chuang, H. M. (2013, December). Influential Factors of Smartphone App Download Intention. In Applied Mechanics and Materials (Vol. 411, pp. 2184-2190).

Hulland, J. (1999). Use of partial least squares (PLS) in strategic management research: A review of four recent studies. Strategic management journal, 20(2), 195-204.

Jansen, S., & Bloemendal, E. (2013). Defining app stores: The role of curated marketplaces in software ecosystems. In Software Business. From Physical Products to Software Services and Solutions (pp. 195-206). Springer Berlin Heidelberg.

Kirmani, A., & Rao, A. R. (2000). No pain, no gain: A critical review of the literature on signaling unobservable product quality. Journal of marketing, 64(2), 66-79.

Kim, J., Fiore, A. M., & Lee, H. H. (2007). Influences of online store perception, shopping enjoyment, and shopping involvement on consumer patronage behavior towards an online retailer. Journal of Retailing and Consumer Services, 14(2), 95-107.

Kim, G., Shin, B., & Lee, H. G. (2009). Understanding dynamics between initial trust and usage intentions of mobile banking. Information Systems Journal, 19(3), 283-311.

Knaeble, B., & Dutter, S. (2015). Reversals of Least-Squares Estimates and Model-Independent Estimation for Directions of Unique Effects. arXiv preprint arXiv:1503.02722.

Loiacono, E. T., Watson, R. T., & Goodhue, D. L. (2007). WebQual: An instrument for consumer evaluation of web sites. International Journal of Electronic Commerce, 11(3), 51-87.

Lowry, P. B., Vance, A., Moody, G., Beckman, B., & Read, A. (2008). Explaining and predicting the impact of branding alliances and web site quality on initial consumer trust of e-commerce web sites. Journal of Management Information Systems, 24(4), 199-224.

Mathieson, K. (1991). Predicting user intentions: comparing the technology acceptance model with the theory of planned behavior. Information systems research, 2(3), 173-191.

Mummalaneni, V. (2005). An empirical investigation of Web site characteristics, consumer emotional states and on-line shopping behaviors. Journal of Business Research, 58(4), 526-532.

McKnight, D. H., Choudhury, V., & Kacmar, C. (2002). Developing and validating trust measures for e-commerce: An integrative typology. Information systems research, 13(3), 334-359.

Mylonas, A., Kastania, A., & Gritzalis, D. (2013). Delegate the smartphone user? Security awareness in smartphone platforms. Computers & Security, 34, 47-66.

Mylonas, A., Dritsas, S., Tsoumas, B., & Gritzalis, D. (2011, July). Smartphone security evaluation The malware attack case. In Security and Cryptography (SECRYPT), 2011 Proceedings of the International Conference on (pp. 25-36). IEEE.

Ovadia, S. (2013). Digital Content Curation and Why It Matters to Librarians. Behavioral & Social Sciences Librarian, 32(1), 58-62.

Pavlou, P. A. 2001. “Integrating Trust in Electronic Commerce with the Technology Acceptance Model: Model Development and Validation,” in Proceedings of the 7th Americas Conference on Information Systems, D. Strong and D. W. Straub (eds.), Boston, MA, August 3-5, pp. 816-822.

Rao, A. R., Qu, L., and Ruekert, R. W. 1999. “Signaling Unoberservable Product Quality through a Brand Ally,” Journal of Marketing Research (36:2), pp. 258-268.
Richardson, P. S., Dick, A. S., and Jain, A. K. 1994. “Extrinsic and Intrinsic Cue Effects on Perceptions of Store Brand Quality,” Journal of Marketing (58:4), pp. 28-36.

Robertson, N. D. (2012). Content Curation and the School Librarian. Knowledge Quest, 41(2), E1-E5.

Rogers, E. M. (2010). Diffusion of innovations. Simon and Schuster.

Rotman, D., Procita, K., Hansen, D., Sims Parr, C., & Preece, J. (2012). Supporting content curation communities: The case of the Encyclopedia of Life. Journal of the American Society for Information Science and Technology, 63(6), 1092-1107.

Sheinin, D. A., Varki, S., & Ashley, C. (2011). The differential effect of ad novelty and message usefulness on brand judgments. Journal of Advertising,40(3), 5-18.

Sichtmann, C. (2007). An analysis of antecedents and consequences of trust in a corporate brand. European Journal of Marketing, 41(9/10), 999-1015.

Stanoevska-Slabeva, K., Sacco, V., & Giardina, M. (2012). Content Curation: a new form of gatewatching for social media?. In International Symposium on Online Journalism, Austin, TX.

Venkatesh, V., & Davis, F. D. (2000). A theoretical extension of the technology acceptance model: Four longitudinal field studies. Management science, 46(2), 186-204.

Wells, J. D., Valacich, J. S., & Hess, T. J. (2011). What Signals Are You Sending? How Website Quality Influences Perceptions of Product Quality and Purchase Intentions. MIS quarterly, 35(2), 373-396.

Xu, H., Gupta, S., Rosson, M. B., & Carroll, J. M. (2012). Measuring mobile users' concerns for information privacy.

Zeithaml, V. 1988. “Consumer Perceptions of Price, Quality and Value: A Means-End Model and Synthesis of Evidence,” Journal of Marketing (52:3), pp. 2-22.

Zhong, C., Shah, S., Sundaravadivelan, K., & Sastry, N. (2013, July). Sharing the Loves: Understanding the How and Why of Online Content Curation. In ICWSM.