【正文】
升用戶對于采用智能機的積極態(tài)度。這個附加的硬件支持能夠幫助制造商來開發(fā)特定的功能以便幫助他們的用戶處理一般任務,為用戶提供一系列設備說明書來應對他們的各種需求。在本研究中,設計美學涉及到平衡、感性訴求,或通過顏色、形狀或動畫來表現得美學。在本研究中,態(tài)度可被定義為用戶對一部安卓機的良好感覺??v觀整個市場,智能機在年輕群體、男性群體和受良好教育群體中更為流行。調查者還邀請了十位安卓智能機使用時間在一年以上的用戶來評估問卷的用語??偣彩占?957 個回應,其中 76 個是不完整的或復制的, 881 份回應是有效的。調查者把這些反饋根據智能手機互聯網使用經歷的不同分類為數個不同的組。 and nonusers39。 Perceived value。 Mobile technology。s attitude) and a social factor (. a subjective norm). TRA has been used as the basis of several information system (IS) acceptance models, including web site usage and ebanking. TRA is a general model, which does not specify beliefs about a particular behavior. Hence, researchers need to consider other salient beliefs when adapting TRA to explain different adoption behaviors. From its initial release, Android has been constantly improved either in terms of features or supported hardware, and has been extended to an expanding range of devices. Android39。s overall assessment of the a produc t or service39。s research model proposes ten hypotheses, which are described in detail below. Interface convenience In this study, interface convenience is defined as the extent to which an individual believes that Android systems provided by manufacturers would provide an easy and efficient means of user–system interaction indicated that interface quality will influence the user39。 attitudes toward Android devices. H2 is stated as follows: H2. Perceived content will positively affect user attitudes toward Android devices. Perceived infrastructure Perceived infrastructure can be defined as the user39。s smartphone peration rates are very high, with only South Korea, Hong Kong, Singapore, Japan and Australia having higher smartphone ownership rates. Across all markets, smartphone usage is more prevalent among younger, male and better educated groups. One in two online consumers use a Smartphone in Taiwan, with Android holding a 71 percent market share of smartphone operating systems. A pretest and pilot test were conducted to validate the questionnaire items. The pretest invited two smartphone experts to assess the logical consistency, ease of understanding, question sequence and contextual suitability of the items. Ten people who had been using Android smartphones for at least one year were invited to evaluate the wording of the items. Their ments resulted in a few minor changes to the wording and sequence of the questions, with the revised questionnaire presented in the Appendix. Announcements about the online questionnaire were posted on web sites and bulletin board systems featuring smartphonerelated activities in Taiwan. Potential respondents were incentivized to participate by the opportunity to win gift certificates in a lucky draw. To prevent duplicate submissions, respondent identities were checked by their and IP address on receipt of the questionnaire. An initial total of 957 responses were collected, of which 76 were either inplete or duplicates, leaving 881 valid responses. Of the valid respondents, 30 percent were female, and 68 percent were between 20 to 29 years of age. About 45 percent of respondents were current university undergraduates. The proposed model and hypotheses were tested using partial least squares (PLS) analysis. As in structural equation modeling (SEM), the PLS approach allows researchers to simultaneously assess measurement model parameters and structural path