Journal articles: 'Online trust'

1

Uslaner, Eric M. "Trust online, trust offline." Communications of the ACM 47, no. 4 (April 2004): 28–29. http://dx.doi.org/10.1145/975817.975838.

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Friedman, Batya, Peter H. Khan, and Daniel C. Howe. "Trust online." Communications of the ACM 43, no. 12 (December 2000): 34–40. http://dx.doi.org/10.1145/355112.355120.

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Tan, Felix B., and Paul Sutherland. "Online Consumer Trust." Journal of Electronic Commerce in Organizations 2, no. 3 (July 2004): 40–58. http://dx.doi.org/10.4018/jeco.2004070103.

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Ott, Rachael. "Building Trust Online." Computer Fraud & Security 2000, no. 2 (February 2000): 10–12. http://dx.doi.org/10.1016/s1361-3723(00)02017-0.

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Maislin, Seth A. "Earning online trust." Indexer: The International Journal of Indexing: Volume 22, Issue 1 22, no. 1 (April 1, 2000): 29–30. http://dx.doi.org/10.3828/indexer.2000.22.1.8.

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Kamis, Fatin Farhana, and Wan Farha Wan Zulkiffli. "ONLINE TRUST DEVELOPMENT IN ONLINE SHOPPING." Journal of Information System and Technology Management 5, no. 18 (September 15, 2020): 26–32. http://dx.doi.org/10.35631/jistm.518003.

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Emerging technologies have helped everyone get through their daily tasks and become easier. however, it is still a concern for many people to use technology because they do not know how to trust someone in helping to solve something. In many previous types of research, the focus has been found in the relationship between consumer trust and its antecedents. This article examines the factor that can develop trust among consumers in online shopping. There are 6 factors that are used to test online trust development: reputation, risk, website quality, service quality, business size, and the reference group. The methodology for the study is quantitative and the questionnaire will be distributed through an online survey in line with the ongoing research related to the online. This will be more targeted to online users especially the younger generation who are more likely to use technology.

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Dziubaniuk, Olga. "Trust in Online Marketing." Business and Professional Ethics Journal 33, no. 4 (2014): 371–94. http://dx.doi.org/10.5840/bpej201512721.

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Schoder, Detlef, and Pai-Ling Yin. "Building firm trust online." Communications of the ACM 43, no. 12 (December 2000): 73–79. http://dx.doi.org/10.1145/355112.355127.

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Hoffman, Donna L., Thomas P. Novak, and Marcos Peralta. "Building consumer trust online." Communications of the ACM 42, no. 4 (April 1999): 80–85. http://dx.doi.org/10.1145/299157.299175.

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Briggs, Pamela, Bryan Burford, Antonella De Angeli, and Paula Lynch. "Trust in Online Advice." Social Science Computer Review 20, no. 3 (August 2002): 321–32. http://dx.doi.org/10.1177/089443930202000309.

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Grosser, Katherine M. "Trust in Online Journalism." Digital Journalism 4, no. 8 (January 26, 2016): 1036–57. http://dx.doi.org/10.1080/21670811.2015.1127174.

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Mesch, Gustavo S. "Is online trust and trust in social institutions associated with online disclosure of identifiable information online?" Computers in Human Behavior 28, no. 4 (July 2012): 1471–77. http://dx.doi.org/10.1016/j.chb.2012.03.010.

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Chang, Man Kit, Waiman Cheung, and Mincong Tang. "Building trust online: Interactions among trust building mechanisms." Information & Management 50, no. 7 (November 2013): 439–45. http://dx.doi.org/10.1016/j.im.2013.06.003.

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Asiati, Diah Isnaini. "Pengaruh Bauran Pemasaran Jasa dan Kepercayaan terhadap pembelian Online." MBIA 18, no. 3 (November 27, 2019): 1–11. http://dx.doi.org/10.33557/mbia.v18i3.677.

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Abstract The purpose of this study ia 1) to determine the effect of products, price, process and people on trsut 2) to determine the effect of products, price, process, people, and trsut in purchasing decesion 3) to determine the effect of trust on purchasng decesion. The type of research used is associate research, to determine the relationship between the marketing mix of service and trust in online purchasing decesion. The variables used are product, prive, process, people, trust, and purchasing decesion. The sample in this study was as many as 271 respondents, with cluster sampling sampling techniques. The data used in this study are primary data, using a questionnaire method. The analysis technique used is path analysis. The results of this study indicate that simultaneously 1) there are significant influence of of products, price, process and people on trsut 2) there is a significant influence of products, prices, processes, people, and trust in purchasing decisions 3) there is a significant influence of trust on purchasing decisions. As for partially 1) only price has a significant effect on trust, while products, processes and people have insignificant influence on trust 2) only price and trust have a significant influence on purchasing decisions, while product, price, process, and people have insignificant effect on purchasing decisions 3) there is a significant influence of trust on purchasing decisions. Key words : product, price, process, people, trust, and purchasing decesion Abstrak Tujuan penelitian ini adalah 1) untuk mengetahui pengaruh produk, harga, proses, dan orang terhadap kepercayaan pembelian online 2) untuk mengetahui pengaruh produk, harga, proses, orang, dan kepercayaan terhadap keputusan pembelian online. Jenis penelitian ini adalah asosiatif, guna menentukan keterkaitan antara bauan pemasaran jasa da kepercayaan dalam keptusan pembeilan online. Variabel yang digunakan adalah produk, harga, proses, orang, kepercayaan dan keputusan pembelian. Sampel penelitian berjumlah 271 orang yang dipilih secara cluster. Data yang digunakan adalah data primer dengan metode pengumpulan data kuesioner. Teknik analisis yang digunakan adalah analisis jalur. Hasil penelitian secara simultan menunjukkan 1) Terdapat pengaruh signifikan produk, harga, proses, dan orang terhadap kepercayaan pembelian online 2) Terdapat pengaruh signifikan produk, harga, proses, orang, dan kepercayaan terhadap keputusan pembelian. Adapun secara parsial 1) Hanya harga yang berpengaruh signifikan terhadap kepercayaan, sementara produk, proses, dan orang berpengaruh tidak signifikan terhadap kepercayaan pembelian online 2) Hanya harga yang berpengaruh signifikan terhadap keputusan pembelian, sementara produk, proses, orang, dan kepercayaan berpengaruh tidak signifikan terhadap keputusan pembelian online

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FERN, LIM SOK, and SITI ZANARIAH AHMAD ISHAK. "Trust and Other Factors that Drive Students’ Self-Disclosure on Social Networking Sites (SNSs)." Trends in Undergraduate Research 1, no. 1 (December 17, 2018): h25–31. http://dx.doi.org/10.33736/tur.1181.2018.

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The aim of this study is to examine the factors that drive students’ self-disclosure on Social Networking Sites (SNSs). A total of 215 undergraduates from two public universities in East Malaysia were recruited as respondents. This study adapts self-disclosure model by Elmi, A.Iahad and Ahmed (2012), where the model proposed trust as one of the factors that complementing other existing factors in online self-disclosure. This study proved that privacy concerns (r = -.212, p < .01), perceived trust (r = .22, p < .01), perceived ease of use (r = .213, p < .01), and perceived enjoyment (r = .28, p < .01) are significantly related to students’ online self-disclosure on SNSs. In addition, as trust plays a vital role in moderating the users’ online self-disclosure behavior, this study formulated students’ trusts on SNSs based on three dimensions which are individual, institutional and online trust. Findings of study suggested that there is a significant difference between online trust based on male and female respondents.Keywords: Formulation of trust, online self-disclosure, privacy concern, perceived ease of use, perceived enjoyment, perceived trust

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Liudi, Della, Hee Nanda Dlaneri, I. Putu Aditya Wardana, Marcha Ramada, and Stefani Pardi. "Pengaruh Mekanisme Online terhadap Tingkat Kepercayaan yang Mempengaruhi Intensi Pembelian Kembali." Indonesian Business Review 2, no. 2 (February 6, 2020): 249–67. http://dx.doi.org/10.21632/ibr.2.2.249-267.

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Online shopping becomes apart of lifestylefor Indonesian. It leads to the business in this sector is prospective . The purpose of this paper is to find out how seller, institution, and experience-based online trust-building mechanisms affect customers trusts in e-marketplace and e-se//er of emarketp/ace, which shape the repurchase intentions. According to research finding using 380 respondent s, the perceived usefulness of seller and institutional-based mechanisms affect trust in e-marketplace. Meanwhile, the seller and experience-based mechanism influence the trust in e-seller of e-marketplace. Thus, both of the trusts influence repurchase intentions.

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Bhattacherjee, Anol. "Individual Trust in Online Firms." International Journal of E-Business Research 2, no. 4 (October 2006): 21–38. http://dx.doi.org/10.4018/jebr.2006100102.

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ZHAO, Jing, Xiaojun SUN, Zongkui ZHOU, Hua WEI, and Gengfeng NIU. "Interpersonal Trust in Online Communication." Advances in Psychological Science 21, no. 8 (December 15, 2013): 1493–501. http://dx.doi.org/10.3724/sp.j.1042.2013.01493.

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McDermott, Paul. "Building Trust Into Online Business." Network Security 2000, no. 10 (October 2000): 10–12. http://dx.doi.org/10.1016/s1353-4858(00)10020-0.

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20

Cheshire, Coye. "Online Trust, Trustworthiness, or Assurance?" Daedalus 140, no. 4 (October 2011): 49–58. http://dx.doi.org/10.1162/daed_a_00114.

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Every day, individuals around the world retrieve, share, and exchange information on the Internet. We interact online to share personal information, find answers to questions, make financial transactions, play social games, and maintain professional and personal relationships. Sometimes our online interactions take place between two or more humans. In other cases, we rely on computers to manage information on our behalf. In each scenario, risk and uncertainty are essential for determining possible actions and outcomes. This essay highlights common deficiencies in our understanding of key concepts such as trust, trustworthiness, cooperation, and assurance in online environments. Empirical evidence from experimental work in computer-mediated environments underscores the promises and perils of overreliance on security and assurance structures as replacements for interpersonal trust. These conceptual distinctions are critical because the future shape of the Internet will depend on whether we build assurance structures to limit and control ambiguity or allow trust to emerge in the presence of risk and uncertainty.

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Naquin, Charles E., and Gaylen D. Paulson. "Online bargaining and interpersonal trust." Journal of Applied Psychology 88, no. 1 (2003): 113–20. http://dx.doi.org/10.1037/0021-9010.88.1.113.

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Shneiderman, Ben. "Designing trust into online experiences." Communications of the ACM 43, no. 12 (December 2000): 57–59. http://dx.doi.org/10.1145/355112.355124.

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Blanchard, Anita L., Jennifer L. Welbourne, and Marla D. Boughton. "A MODEL OF ONLINE TRUST." Information, Communication & Society 14, no. 1 (February 2011): 76–106. http://dx.doi.org/10.1080/13691181003739633.

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Kracher, Beverly, and Linda Hadfield. "Online environmental trust and trustworthiness." Interdisciplinary Environmental Review 4, no. 1 (2002): 21. http://dx.doi.org/10.1504/ier.2002.053874.

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Sabatini, Fabio, and Francesco Sarracino. "Online Social Networks and Trust." Social Indicators Research 142, no. 1 (April 4, 2018): 229–60. http://dx.doi.org/10.1007/s11205-018-1887-2.

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Turilli, Matteo, Antonino Vaccaro, and Mariarosaria Taddeo. "The Case of Online Trust." Knowledge, Technology & Policy 23, no. 3-4 (September 25, 2010): 333–45. http://dx.doi.org/10.1007/s12130-010-9117-5.

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Kleist, Virginia Franke. "Building Technologically Based Online Trust: Can the Biometrics Industry Deliver the Online Trust Silver Bullet?" Information Systems Management 24, no. 4 (October 2, 2007): 319–29. http://dx.doi.org/10.1080/10580530701586045.

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Mohammad, Nahdah. "PENGARUH SHOPPING ORIENTATION DAN ONLINE TRUST TERHADAP ONLINE SHOPPING INTENTION PLATFORM SHOPEE." PERFORMA 6, no. 2 (July 10, 2021): 180–88. http://dx.doi.org/10.37715/jp.v6i2.2087.

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Penelitian ini berjudul “Pengaruh Shopping Orientation dan Online Trust terhadap Online Shopping Intention Platform Shopee” yang dilakukan dengan tujuan untuk (1) Mengetahui pengaruh shopping orientation terhadap online shopping intention pada platform Shopee (2) Mengetahui pengaruh online trust terhadap online shopping intention pada platform Shopee. Penelitian ini menggunakan metode kuantitatif dengan analisis regresi linear berganda. Pengumpulan data dilakukan dengan menyebarkan kuesioner secara online. Populasi dalam penelitian ini adalah mahasiswa aktif Universitas Ciputra yang memiliki akun Shopee. Sampel yang diperoleh adalah 364 orang mahasiswa. Teknik pengambilan sampel dilakukan dengan purposive sampling. Hasil dari penelitian ini adalah shopping orientation dan online trust berpengaruh secara positif dan signifikan terhadap online shopping intention, baik secara parsial maupun simultan. Kata kunci: shopping orientation, online trust, dan online shopping intention

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Corritore, Cynthia L., Susan Wiedenbeck, Beverly Kracher, and Robert P. Marble. "Online Trust and Health Information Websites." International Journal of Technology and Human Interaction 8, no. 4 (October 2012): 92–115. http://dx.doi.org/10.4018/jthi.2012100106.

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Health care websites are important to people managing their health. But the quality of the information on health care websites varies, so it’s hard for users to decide whether to trust their information. This study develops and tests a model of the factors influencing users’ initial trust of a health care website. The factors are perceived credibility, risk, and ease of use. A survey instrument was developed to test the model with 176 participants who interacted with a health care website. It had strong statistical reliability and validity, and the model showed a statistically strong fit to the data. Users’ website trust was significantly explained by users’ perceptions of website credibility, ease of use, and risk. Ease of use directly predicted trust, and affected trust indirectly through credibility. Credibility was a direct predictor of trust and an indirect predictor of trust through risk. Variance explained by the model was high, 0.73.

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Chou, Shihyu, Chi-Wen Chen, and Jiun-You Lin. "Female online shoppers." Internet Research 25, no. 4 (August 3, 2015): 542–61. http://dx.doi.org/10.1108/intr-01-2014-0006.

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Purpose – As the number of female customers shopping in online clothing stores increases, understanding how female customers’ e-loyalty is formed and fostered in this type of online store becomes very pivotal. Yet, despite its importance, little research has been done on this issue. The purpose of this paper is to focus on female online clothing shoppers and aim to examine the mediators of e-loyalty in the context of online clothing stores: e-satisfaction and e-trust. Design/methodology/approach – A total of 482 subjects who are female and have online clothing store shopping experience in Taiwan were obtained and structural equation modeling was performed to analyze the measurement and structural models. Findings – The results show that both perceived online privacy and security are positively associated with e-trust, whereas web design is not. Furthermore, perceived delivery time and web site design are positively associated with e-satisfaction. Both e-trust and e-satisfaction in turn positively influence e-loyalty for female online clothing shoppers. Research limitations/implications – On the basis of the literature review, there is a lack of theoretical knowledge of the relationships between e-loyalty, e-satisfaction, and e-trust among female online clothing shoppers. The research fulfills this important theoretical gap by extending prior studies on e-loyalty to further examine the factors that form e-satisfaction and e-trust, and how they, as mediators, influence the development of female customers’ e-loyalty in the context of online clothing stores. The result provides a model that contributes to understanding the formation of female customers’ e-loyalty. Practical implications – The results of this study are helpful to online store managers in increasing their customers’ loyalty. Specifically, online clothing store managers have to create quick item delivery methods and friendly online shopping web sites that provide all necessary information and are easy to navigate and use so as to increase customers’ e-satisfaction. They also need to establish reliable and trustworthy web sites by letting their customers easily perceive the web sites’ privacy and security features to enhance customers’ e-trust. As e-satisfaction and e-trust increase, e-loyalty is fostered. Originality/value – The contributions of this study are threefold. First, this study focusses on an important but previously neglected group in the context of online clothing stores: female online clothing shoppers. Second, the authors’ investigation extends the literature on e-loyalty by identifying important mediators (e-satisfaction and e-trust) and probing into their relationships to e-loyalty in the context of online clothing stores. Third, the findings contribute to academia and to future research by increasing understandings of the importance of the concerns and experiences of female online clothing shoppers and by suggesting that future research pay more attention to female online shoppers.

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Mou, Jian, and Jason F. Cohen. "Trust and online consumer health service success." Information Development 33, no. 2 (July 8, 2016): 169–89. http://dx.doi.org/10.1177/0266666916642507.

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We examine consumers’ early stage trust beliefs for effects on perceptions of information and system quality, later stage trust, satisfaction and usage intentions in the context of online health services. Using a longitudinal research design, data was collected from a sample of undergraduates during two time periods, approximately five weeks apart. Results show that trust in the website influences trust in the e-service provider at both early and later stages. Perceptions of system and information quality depend on trust, while trust and satisfaction are important to continued usage intentions. Results are important for understanding how trust interacts with IS success factors.

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Anaya-Sánchez, Rafael, Rocío Aguilar-Illescas, Sebastián Molinillo, and Francisco J. Martínez-López. "Trust and loyalty in online brand communities." Spanish Journal of Marketing - ESIC 24, no. 2 (May 8, 2020): 177–91. http://dx.doi.org/10.1108/sjme-01-2020-0004.

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Purpose The purpose of this paper is to analyse the effects of brand trust and online brand community (OBC) trust on consumer repurchase intention and the positive electronic word-of-mouth (eWOM) intention of OBC members. Design/methodology/approach The research model was assessed using data from a sample of 628 OBC users using partial least squares structural equation modelling (PLS-SEM). Findings The results show that brand trust positively affects repurchase intention and positive eWOM intention, both directly and indirectly through OBC trust. The total effect of brand trust on the results is greater than that of OBC trust. Originality/value This research contributes to marketing theory and practice by analysing the combined effect of OBC trust and brand trust on the consumer–brand relationship in the context of OBCs.

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Komaromi, Kurt, Fahri Unsal, and G. Scott Erickson. "Online Interaction with Millenials." International Journal of Cyber Warfare and Terrorism 3, no. 1 (January 2013): 46–62. http://dx.doi.org/10.4018/ijcwt.2013010104.

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Trust in exchanges is an important concept in business and has become of topic of some interest in e-commerce. Substantial work has been done on how institutional mechanisms, technology, word-of-mouth, and numerous other variables affect trust in a website and potential customers’ willingness to conduct business there. This study continues that line of research by considering how the millennial generation perceives the trustworthiness of three types of online sites: a retailer, an auction site, and a social networking site. Little work has been done on whether social network sites have more or less trust than other types of websites and what aspects of trust are affected. Given the broad trend toward utilizing these social network sites for commercial purposes, it makes sense to assess how targeted users view and interact with them. This study presents preliminary data on all of these issues, suggesting that there do appear to be differences between social network sites and more traditional online vendors.

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Bauman, Antonina, and Reinhard Bachmann. "Online Consumer Trust: Trends in Research." Journal of technology management & innovation 12, no. 2 (2017): 68–79. http://dx.doi.org/10.4067/s0718-27242017000200008.

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., C. Kavitha, and Nageswararao Sirisala. "Trust Computation in Online Social Networks." International Journal of Computer Sciences and Engineering 7, no. 4 (April 30, 2019): 174–78. http://dx.doi.org/10.26438/ijcse/v7i4.174178.

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Engvall, Tove. "Situating trust challenges of online trade." Records Management Journal 29, no. 1/2 (March 11, 2019): 272–86. http://dx.doi.org/10.1108/rmj-07-2018-0019.

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Purpose This paper aims to offer an improved understanding of trust challenges in online trade, providing examples of issues that should be addressed for a trustworthy online environment. It also aims to illustrate how records and recordkeeping can contribute in terms of enabling trust and accountability. Design/methodology/approach The paper is based on results from a self-ethnographic study of online trade (Engvall, 2017); the results are analyzed further. Kelton, Fleischmann and Wallace’s (2008) model for trust is used to gain a better understanding of the characteristics of the challenges and where they should be addressed. Findings This paper recognizes that there are different types of trust challenges at different levels – individual, between clients and businesses and at a societal level – that should be addressed at these levels in different ways. Originality/value This paper provides an understanding of trust challenges in the online environment.

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Boyd, Josh. "The Rhetorical Construction of Trust Online." Communication Theory 13, no. 4 (November 2003): 392–410. http://dx.doi.org/10.1111/j.1468-2885.2003.tb00298.x.

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Hoffmann, Christian Pieter, and Severina Mueller. "Contextual Influences on Online Trust Formation." Academy of Management Proceedings 2014, no. 1 (January 2014): 15683. http://dx.doi.org/10.5465/ambpp.2014.15683abstract.

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Ow, Terence T., Brian I. Spaid, Charles A. Wood, and Sulin Ba. "Trust and experience in online auctions." Journal of Organizational Computing and Electronic Commerce 28, no. 4 (October 2, 2018): 294–314. http://dx.doi.org/10.1080/10919392.2018.1517478.

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Joinson, Adam, Ulf-Dietrich Reips, Tom Buchanan, and Carina B. Paine Schofield. "Privacy, Trust, and Self-Disclosure Online." Human-Computer Interaction 25, no. 1 (January 2010): 1–24. http://dx.doi.org/10.1080/07370020903586662.

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Chen, Yu‐Hui, and Stuart Barnes. "Initial trust and online buyer behaviour." Industrial Management & Data Systems 107, no. 1 (January 29, 2007): 21–36. http://dx.doi.org/10.1108/02635570710719034.

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Harris, Lloyd C., and Mark M. H. Goode. "Online servicescapes, trust, and purchase intentions." Journal of Services Marketing 24, no. 3 (May 25, 2010): 230–43. http://dx.doi.org/10.1108/08876041011040631.

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Cheng, Yuehua, Jin Liu, and Xiao Yu. "Online social trust reinforced personalized recommendation." Personal and Ubiquitous Computing 20, no. 3 (April 16, 2016): 457–67. http://dx.doi.org/10.1007/s00779-016-0923-y.

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Chiu, Chao-Min, Hsin-Yi Huang, and Chia-Hui Yen. "Antecedents of trust in online auctions." Electronic Commerce Research and Applications 9, no. 2 (March 2010): 148–59. http://dx.doi.org/10.1016/j.elerap.2009.04.003.

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Lauer, Thomas W., and Xiaodong Deng. "Building online trust through privacy practices." International Journal of Information Security 6, no. 5 (July 3, 2007): 323–31. http://dx.doi.org/10.1007/s10207-007-0028-8.

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Benbasat, Izak, David Gefen, and Paul A. Pavlou. "Special Issue: Trust in Online Environments." Journal of Management Information Systems 24, no. 4 (April 2008): 5–11. http://dx.doi.org/10.2753/mis0742-1222240400.

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Sari, Septi Diana, Ratri Nurina Widyanti, and Inon Listyorini. "Trust and Perceived Risk toward Actual Online Purchasing: Online Purchasing Intention as Mediating Variable." Integrated Journal of Business and Economics 4, no. 1 (January 18, 2020): 61. http://dx.doi.org/10.33019/ijbe.v4i1.248.

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This research aims to test the influence of trust and perceived risk on Actual Online Purchasing (AOP) either directly or through Online Purchase Intention (OPI) as a mediating variable. Purposive Random Sampling used in this research with 100 respondents who have searched product through the E-Commerce website (B2C & C2C). This research uses Structural Equation Modelling (SEM) model with SmartPLS 3 program. The results of the test showed that Security practice and Privacy Concern have a negative effect on Perceived Risk, which subsequently Perceived Risk has a negative effect on OPI. However, OPI has no significant effect on AOP. Between the two of trust antecedents, the EWOM and Perceived Reputation only Perceived Reputation has a significant influence on the Trust. From the four constructs in this study (AOP, OPI, Trust and Perceived Risk), the Trust Model is the most powerful predictive model compared to other models such as Perceived Risk, OPI, and AOP.

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Rahmayanti, Rima, Rizal Ramdan Padmakusumah, Neneng Susanti, and Susanto R. "The Maintaining of Trust of Online Business Trading from Islamic Perspective." International Journal of Psychosocial Rehabilitation 24, no. 02 (February 12, 2020): 3067–73. http://dx.doi.org/10.37200/ijpr/v24i2/pr200610.

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Awal, Gunjan, and Rupa Khanna. "Determinants of Online Trust: A Study of University Students of Uttrakhand." International Academic Journal of Business Management 06, no. 01 (June 14, 2019): 48–59. http://dx.doi.org/10.9756/iajbm/v6i1/1910007.

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Broutsou, Andromachi, and Panos Fitsilis. "Online Trust: The Influence of Perceived Company’s Reputation on Consumers’ Trust and the Effects of Trust on Intention for Online Transactions." Journal of Service Science and Management 05, no. 04 (2012): 365–72. http://dx.doi.org/10.4236/jssm.2012.54043.

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Journal articles on the topic 'Online trust'

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