최소 단어 이상 선택하여야 합니다.
최대 10 단어까지만 선택 가능합니다.
다음과 같은 기능을 한번의 로그인으로 사용 할 수 있습니다.
NTIS 바로가기Culinary science & hospitality research = 한국조리학회지, v.21 no.6 = no.75, 2015년, pp.167 - 181
The purpose of this study is to examine the effects of genuineness, usefulness, overstatement, and assentation of the smartphone majib app on trust, perceived risk, and use intention, and thereby suggest useful information for the mobile application. A survey was conducted from May 11, 2015 to June ...
* AI 자동 식별 결과로 적합하지 않은 문장이 있을 수 있으니, 이용에 유의하시기 바랍니다.
핵심어 | 질문 | 논문에서 추출한 답변 |
---|---|---|
지각된 위험이란 무엇인가? | 특히, 나이는 위험지각과 깊은 연관이 있는 변수로 고려되어져 왔으며, 나이가 많은 사람일수록 그들이 지각하는 위험의 크기가 증가하는 것으로 알려져 왔다(Heckhausen, 1997; Lockwood et al 2005). 지각된 위험이란 소비자가 상표선택, 점포 선택, 그리고 구매방식의 선택 등의 특정 구매목적을 달성하기 위하여 행하고자 할 때, 그 선택 상황에 대하여 지각하는 심리적 위험을 말한다 (Bauer, 1960; Ryu JH․Eom SH, 2001). Hassan, Kunz, Person & Mohamed(2006)는 온라인 시장의 소비자가 지각하는 위험을 재정, 성과, 시간손실 (time-loss), 사회적, 물리적, 심리적, 소스(sourse), 보안 등 총 8가지 차원으로 나누었다(Rhee HJ․ Shim ES, 2013). | |
맛집 앱의 장점은 무엇인가? | 맛집 앱은 앱의 범주 중 카테고리가 음식점 정보로 분류되어 있고, 지역별, 음식별로 다양한 정보를 한눈에 볼 수 있다(Sohn JG, 2013). 이러한 맛집 앱은 주변 맛집 전화번호, 메뉴 등에 대한 정보를 스마트폰에서 한눈에 찾을 수 있기 때문에, 소비자 측면에서는 각종 지역 음식점 정보를 손쉽게 얻을 수 있으므로 편리하며, 외식업체 측면에서는 앱을 통해 광고효과를 높일 수 있는 장점이 있다. 맛집 앱에 대한 관심 수준이 향상됨에 따라 경험적 이용자들의 행동결과 수준이 높아진다는 연구와 맛집에 관련된 연구는 웹 상황에서도 블로그 등을 통해 여러 연구가 이루어졌다 (Huang, Chou & Lin, 2010; Lee SR․Yoon HY․ Namgoong Y, 2010; Lee HY, 2012). | |
지각된 위험은 개인의 행동의 기준에 어떤 영향을 미치는가? | Hassan, Kunz, Person & Mohamed(2006)는 온라인 시장의 소비자가 지각하는 위험을 재정, 성과, 시간손실 (time-loss), 사회적, 물리적, 심리적, 소스(sourse), 보안 등 총 8가지 차원으로 나누었다(Rhee HJ․ Shim ES, 2013). 위험 정도가 높은 상황에서는 개인에게 위험에 대해 깨닫게 하여 그로 인해 발생하는 손실이나 결과를 생각하게 하여 행동의 기준을 위험에 따른 손실의 정도로 변하게 한다 (Lin, Chang & Lin, 2012). 기존의 선행연구에서는 인터넷 쇼핑몰에서의 사용후기 특성에 관한 연구들이 진행되어져 왔으나, 모바일을 통한 스마트폰 맛집 앱에 관한 사용후기 특성에 대한 연구는 미비한 실정이다. |
Bauer RA (1960). Consumer behaviour as risk taking, In R. Hancock(Ed.), Dynamic Markting for a Changing World, 389-398. Chicago: American Marketing Accociation.
Belanche D, Casalo' LV, Guinaliu M (2012). Website usability, consumer satisfaction and the intention to use a website: The moderating effect of perceived risk. Journal of Retailing & Consumer Services 19(1):124-132.
Corbitt BJ, Thanasankit T, Yi H (2003). Trust and e-commerce : A study of consumer perceptions. Electronic Commerce Research and Applications 2:203-215.
Choi GH, Lee SH (2011). Research provides information on the application properties of fashion smartphone: iPhone applications around. Korea Society of Clothing and Textiles Conference 2011(0):155-155.
Chiou J, Cheng C (2003). Should a company have message boards on its website? Journal of Interactive Marketing 17(3):50-61.
Degeratu AM, Rangas A, Wu J (2000). Consumer choice behavior in online and traditional supermarket : The effects of brand name, price and other search attributes. International Journal of Research in Marketing 17:55-78.
Davis FD (1989). Perceived ease of use and user acceptance of information technology. MIS Quarterly 13(3):318-329.
Goo DM (2003). An investigation on consumer's internet shopping behavior explained by the technology acceptance model. Asia Pacific Journal of Information Systems 13(1):141-170.
Gefen D (2000). E-commerce : The role of familiarity and trust. Omega 28(6):725-737.
Gefen D, Karahanna E, Straub DW (2003). Trust and TAM in online shopping : Amintergrated model. MIS Quarterly 27(1):51-90.
Hassan AM, Kunz MB, Pearson AW, Mohamed FA (2006). Conceptualization and measurement of perceived risk in online shopping. Marketing Management Journal, Spring 138-148.
Hackbarth G, Grover V, Yi M (2003). Computer playfulness and anxiety : Positive and negative mediators of the system experience effect on perceived ease of use. Information & Management 40:221-232.
Heckhausen J (1997). Developmental regulation across adulthood: Primary and secondary control of age-related challenges. Developmental Psychology 33(1):176-187.
Huang CH, Chou CJ, Lin PC (2010). Involvment theory in constructing bloggers intention to purchase travel products. Tourism Management 31(4):513-526.
Jang MH (2005) Impact of trust and perceived risk in internet shopping also of attitudes and buying. Information Systems Research 14(1):227-249.
Jeon WY, Joung HJ (2006). Effects of online reviews on evaluation and purchase intention of a product in internet shopping : The role of gender differences. Korea Journal of Consumer and Advertising Psychology 7(1):113-129.
Jung SY, Park C (2005). Content analysis of the online word of mouth: Focusing on the differences in water type and product type. The Korea Society of Management Information Systems Proceedings 497-505.
Jung SM, Kim YH (2015). A study on the effects of SNS information characteristics and SNS site characteristics on the intention to visit a restaurant. The Korean Journal of Culinary Research 21(1):159-173.
Je KJ (2006). Impact on the Trust and Also Online Shopping of Online Information Product Attributes Reputation. Pusan National University, Master's Thesis.
Jarvenpaa SL, Tractinsky N (1999). Consumer trust in an internet store : A cross-cultural validation. Journal of Computer Mediated Communication 1(2):1-35.
Kim JY, Suh EK, Suh KS (2008). Effects of perceived similarity between consumers and product reviewers onn consumer behaviors. The Korea Society of Management Information System. 18(3):67-90.
Kim SW, Kang HT (2007). Analyzing the relationships among intention to use, satisfaction, trust, and perceived effectiveness of review boards as online feedback mechanism in shopping websites, KORMS 32(2):53-69.
Kim GH, Joo SH, Kang YS (2012). Developing mobile service evolution framework -The Case of smartphone weather application development. Korea Productivity Association 26(1): 135-159.
Kim JH, Kim HJ (2003). Do you have any characteristics of persuading the consumer to review. Korea Psychological Association Annual Conference Championships 69-70.
Korea Communications Commission (2015). Wireless Communication Services Statistics.
Korea Federation of Restaurants (2014). Domestic Catering Services Trend Survey Report 2014, Korea Food Service Industry Research.
Lee MH, So YJ (2015). The effects of mobile bakery application's perceived usefulness and easiness on its continuous use. The Korean Journal of Culinary Research 21(2):171-186.
Lee SR, Yoon HY, Namgoong Y (2010). Blog motives and customer service quality attribute analysis of eating out. Hotel Management Studies 19(6):273-287.
Lee EJ, Shim WS (2007). We evaluated the time of purchase and after purchase behavior research of Internet shopping reviews message. e-Business Studies 8(3):155-170.
Lee YK, Lee MW (2006). Satisfaction in relation to the website of the information quality and customer loyalty, trust, commitment role. Korea Industrial Economic Association 19(6):2367-2386.
Lee EJ, Hong BS (2006). The effect of perceived utilitarian value and service quality of internet shopping on repurchase intention of fashion merchandise. Journal of the Korea Society of Costume 56(7):46-57.
Lee HY (2012). Comparison of relationships involved in accordance with the types of information search and target users review restaurants online media use and consumer behavior. Tourism Research 26(6):309-326.
Rhee HJ, Shim ES (2013). Effects of perceived risks of social commerce on purchase intention : Moderation role of product types. Korea Customer Satisfaction Management Association 15(1):145-165.
Lee KY (2010). A study on the discontinuance intention of mobile service in post adoption context. The Korea Academic Association of Business Administration 23(1):135-156.
Lin YC, Chang CCA, Lin YF (2012). Self-construal and regulatory focus influences on persuasion : The moderating role of perceived risk. Journal of Business Resarch 65(8):1152-1159.
Lockwood P, Chasteen AL, Wong C (2005). Age and regulatory focus determine preferences for health-related role models. Psychology and Aging 20(3):376-389.
Mcknight DH, Cummings LL, Chervany NL (1998). Initial trust formation in new organizational relationships. Academy of Management Review 23(3):427-490.
Mcknight DH, Chervany NL (2002). What trust means in e-commerce customer relationships : An interdisciplinary conceptual typology. International Journal of Electronic Commerce 6(2): 35-59.
Oh JM, Kim HH, Moon NM (2010). Regional preference study by consumption analysis of smartphone apps. Korea Society of Broadcast Engineers Summer Conference 2010. 2010(7): 328-329.
Park HS (2011). The emotional and social dynamics of Matjip fever. Korea Journal of Social Theory 18:238-314.
Park TW (2014). A Study on the Integrated Model of eWOM Effects through Social Network Service. Hanyang University, Master's Thesis.
Pavlou PA, Gefen D (2004). Building effective online marketplaces with institution-based trust. Information Systems Review 15(1):37-59.
Ryu JH, Eom SH (2001). Perceived Risk of Travel Product Purchases when One Uses Internet Shopping Mall, The Tourism Science of Korea Conference (2001), pp. 255-264.
Sin SY, Cha SM (2013). Motive on social networking service usage of restaurant customers. The Korean Journal of Culinary Research 19(1):121-138.
Sohn JG (2013). A Study on Effects of Service Quality and Usage Review of Smartphone 'Majib' Application on User Satisfaction and Reuse Intention, Catholic University, Master's Thesis.
Sung HJ (2012). The Study of the Effects of Online Social Network Service Differences on Customer Satisfaction and Intention of the Use : Focused on the extended technology acceptance model. Kyung Hee University Graduate School of Doctoral Thesis.
Yang SI (2012). The Perceived Value of the Smartphone Effect on Purchase: Moderating Effect of Perceived Risk. Konkuk University, Master's Thesis.
Yoo WS (2012). Perceived Attribute of the Application, Restaurants Effect of Utilization: Focusing on the Extended Technology Acceptance Model, Tourism. Sejong University Graduate School Master's Thesis.
*원문 PDF 파일 및 링크정보가 존재하지 않을 경우 KISTI DDS 시스템에서 제공하는 원문복사서비스를 사용할 수 있습니다.
출판사/학술단체 등이 한시적으로 특별한 프로모션 또는 일정기간 경과 후 접근을 허용하여, 출판사/학술단체 등의 사이트에서 이용 가능한 논문
※ AI-Helper는 부적절한 답변을 할 수 있습니다.