Trust transfer in the continued usage of public e-services

In the paper

“The relationship between interpersonal recommendations and trust in the e-service was nonsignificant”

In the paper

“Trust was influenced by e-service quality and recommendations from public administrations and interpersonal sources.”

In the paper

“Trust was influenced by e-service quality and recommendations from public administrations and interpersonal sources.”

In the paper

“Our results show that trust in the public e-service mediates the influence of both trust in the public administration and trust in the Internet on continuance intentions.”

In the paper

“Also in support of H4a-c, our results showed that recommendations made by public administrations influenced formations of trust in public administrations (b = 0.092, p < 0.10), the public e-service (b = 0.123, p < 0.01), and the Internet (b = 0.142, p < 0.05).”

In the paper

“Finally, trust in the public e-service significantly related to continuance intentions (b = 0.148, p < 0.01), in support of H6.”

In the paper

“Our proposed model displayed better fit measures than rival model I.The CFI indicator of the rival model (0.917) was lower than the CFI of the proposed model (0.921) and its ratio of x 2 to degrees of freedom was slightly higher (3.565 versus 3.456).In addition, Akaike [3] recommends a model with lower AIC indicators over other models based on the same sample.On this criterion, our proposed model”

What the sources say

• ?Not checked — no full text of the sourcecites [3] 3. H. Akaike, Information theory and an extension of the maximum likelihood principle. Paper presented at the International symposium on information theory, Budapest, Hungary, 1973.

In the paper

“The AIC was similar but better in our proposed model (AIC = 280.88)compared with rival model II (AIC = 283.01).”

In the paper

“Also in support of H4a-c, our results showed that recommendations made by public administrations influenced formations of trust in public administrations (b = 0.092, p < 0.10), the public e-service (b = 0.123, p < 0.01), and the Internet (b = 0.142, p < 0.05).”

In the paper

“If we had ignored these controls, the effect of trust in the public e-service would have appeared much greater (b = 0.597, p < 0.001, see Basic model in Table 5).”

In the paper

“E-service quality related positively to trust in the public administration (b = 0.671, p < 0.01), trust in the public e-service (b = 0.346, p < 0.01), and trust in the Internet (b = 0.346, p < 0.01), in support of H3a-c.”

In the paper

“For citizens with high time consciousness, interpersonal recommendations related negatively to trust in the public e-service.”

In the paper

“Both perceived usefulness (b = 0.196, p < 0.01) and satisfaction (b = 0.673, p < 0.01) exerted strong and significant effects on continuance intentions, in line with previous research [14].”

What the sources say

• ?Not checked — no full text of the sourcecites [14] 14. A. Bhattacherjee, Understanding information systems continuance: An expec- tation-confirmation model, MIS Quart. 25 (3), 2001, pp. 351-370. source

In the paper

“Trust in the public administration and trust in the Internet positively affected trust in the public e-service (b = 0.376, p < 0.01, and b = 0.271, p < 0.01, respectively).”

• Also stated in: § 6.2.2. Rival model II: partial mediation · plain

  “the effects of trust in the public administration and the Internet on trust in the public e-service were significant (b = 0.376, p < 0.01, and b = 0.272, p < 0.01, respectively)”

In the paper

“We also found support for H5c, in that interpersonal recommendations positively related to trust in the Internet (b = 0.122, p < 0.05).”

In the paper

“Although interpersonal recommendations affected trust in the public administration, the effect was weak (b = 0.084, p < 0.10), in support of H5a.”

In the paper

“Furthermore, trust in the public administration and trust in the Internet yielded R-square values of 0.466 and 0.155, respectively.”

In the paper

“However, we must reject H5b, because the effect of interpersonal recommendations on trust in the public e-service was not significant (b = 0.029).”

In the paper

“Trust in the public administration and trust in the Internet positively affected trust in the public e-service (b = 0.376, p < 0.01, and b = 0.271, p < 0.01, respectively).”

In the paper

“Furthermore, trust in the public administration and trust in the Internet yielded R-square values of 0.466 and 0.155, respectively.”

In the paper

“Also in support of H4a-c, our results showed that recommendations made by public administrations influenced formations of trust in public administrations (b = 0.092, p < 0.10), the public e-service (b = 0.123, p < 0.01), and the Internet (b = 0.142, p < 0.05).”

In the paper

“E-service quality related positively to trust in the public administration (b = 0.671, p < 0.01), trust in the public e-service (b = 0.346, p < 0.01), and trust in the Internet (b = 0.346, p < 0.01), in support of H3a-c.”

In the paper

“As we show in Table 7, trust in the e-service was enhanced by interpersonal recommendations when time efficiency concerns were less important.”

In the paper

“Both perceived usefulness (b = 0.196, p < 0.01) and satisfaction (b = 0.673, p < 0.01) exerted strong and significant effects on continuance intentions, in line with previous research [14].”

What the sources say

• ?Not checked — no full text of the sourcecites [14] 14. A. Bhattacherjee, Understanding information systems continuance: An expec- tation-confirmation model, MIS Quart. 25 (3), 2001, pp. 351-370. source

In the paper

“We therefore specify whether these influences come from interpersonal or institutional sources and show that they do not have the same effects for every individual.”

In the paper

“E-service quality related positively to trust in the public administration (b = 0.671, p < 0.01), trust in the public e-service (b = 0.346, p < 0.01), and trust in the Internet (b = 0.346, p < 0.01), in support of H3a-c.”

In the paper

“The explained variance of trust in the public e-service was high (R 2 = 0.664), and a comparable amount of variance could be explained in continuance intentions (R 2 = 0.686).”

In the paper

“The explained variance of trust in the public e-service was high (R 2 = 0.664), and a comparable amount of variance could be explained in continuance intentions (R 2 = 0.686).”

In the paper

“We found a trust transfer process, by which trust in public administrations and trust in the Internet relate to trust in the public e-service.”

In the paper

“The transfer effect of trust in the Internet is smaller than that of trust in the public administration, which suggests that the delivery channel is relatively less important than which entity provides the service when citizens evaluate e-service trustworthiness.”

In the paper

“Feelings of trust also created by interpersonal and public administration recommendations, and e-service quality.”

In the paper

“Trust enhances behavioral continuance intentions by reducing uncertainty about the system and related processes [70].”

What the sources say

• ?Not checked — no full text of the sourcecites [70] 70. C. Moorman, R. Deshpande ´, G. Zaltman, Factors affecting trust in market research relationships, J. Market. 57, 1993, pp. 81-101. source

In the paper

“we extend insights into trust transfer theory, which states that the trust transfer process is cognitive, such that one domain influences attitudes and perceptions in another domain [61,90].”

What the sources say

• ?Not checked — no full text of the sourcecites [61] 61. Y. Lu, S. Yang, P.Y.K. Chau, Y. Cao, Dynamyics between the trust transfer process and intentions to use mobile payment services: A cross-environment perspec- tive, Inform. Manage. 48, 2011, pp. 393-403. source
• ?Not checked — no full text of the sourcecites [90] 90. K. Stewart, Trust transfer on the world wide web, Org. Sci. 14 (1), 2003, pp. 5-17. source

In the paper

“The item SYS3 of the system availability dimension was removed, because its factor loading was lower than 0.5 [49].”

What the sources say

• ?Not checked — no full text of the sourcecites [49] 49. K. Jo ¨reskog, D. So ¨rbom, LISREL 8: Structural Equation Modeling with the SIMPLIS Command Language. Chicago: Scientific Software International. Chicago IL: Inc., 1993.

In the paper

“The Cronbach's alphas indicated the initial reliability of the scales, with a threshold value of 0.7 [25].”

What the sources say

• ?Not matched

  Couldn’t be matched to a paper in Crossref, so it can’t be checked.

  cites [25] 25. L. Cronbach, Essentials of Psychological Testing, Harper and Row, New York, NY, 1970.

In the paper

“Although accounting for the effects of perceived usefulness and satisfaction weakened the trust-based influence on continuance intentions, we found that trust explained additional variance, beyond that offered by existing drivers.”

In the paper

“As our first important contribution, we show that trust can be decomposed according to its different referents.”

In the paper

“The item-to-total correlation exceeded the minimum value of 0.3 in all cases [74].”

What the sources say

• ?Not matched

  Couldn’t be matched to a paper in Crossref, so it can’t be checked.

  cites [74] 74. M. Nurosis, SPSS. Statistical Data Analysis, SPSS Inc, 1993.

In the paper

“Finally, to test discriminant validity, or whether each construct was distinct from other constructs not theoretically related to it, we followed Fornell and Larcker [34] and assessed whether the square root of the AVE indicators was greater than the correlations between the constructs.As Table 4 reveals, all pairs of constructs satisfied this criterion.”

What the sources say

• ?Not checked — no full text of the sourcecites [34] 34. C. Fornell, D. Larcker, Evaluating structural equation models with unobservable variables and measurement error, J. Market. Res. 18 (3), 1981, pp. 39-50. source

In the paper

“We therefore concluded that trust in the public e-service fully mediated the effect of e-service quality on continuance intentions.”

In the paper

“Three elements that determine an e-service transaction (provider, service, and underlying technology) are interrelated; we conclude in particular that trust in the public e-service mediates between trust in the public administration and continuance intentions, as well as between trust in the Internet and continuance intentions.”

In the paper

“The global fit indicators were acceptable (x 2 (df) = 1876.83(543), p < 0.01; Satorra-Bentler scaled x 2 (df) = 1366.87(543), p < 0.01; NNFI = 0.914; CFI = 0.921; IFI = 0.922; RMSEA = 0.063; normed x 2 = 3.456), though again with the x 2 limitation.”

In the paper

“Following trust transfer theory [86,90], we assert that trust in an entity that consists of different components is based on feelings toward the most salient component.”

What the sources say

• ?Not checked — no full text of the sourcecites [86] 86. D. Sirdeshmukh, J. Singh, B. Sabol, Consumer trust, value, and loyalty in relational exchanges, J. Market. 66 (1), 2002, pp. 15-37. source
• ?Not checked — no full text of the sourcecites [90] 90. K. Stewart, Trust transfer on the world wide web, Org. Sci. 14 (1), 2003, pp. 5-17. source

In the paper

“That is, trust transfers to the e-service from two elements: provider characteristics and technology characteristics.”

In the paper

“Across M3-M6, we found no significant x 2 differences, so trust in the public e-service fully mediated between its antecedents and continuance intentions.”

In the paper

“The non-significant effect in our base model thus features both positive and negative effects, according to individual time consciousness.”

In the paper

“We propose and empirically substantiate a trust transfer process, by which trust in public administrations and in the Internet relate to trust in the public e-service.”

In the paper

“The transfer effect of trust in the Internet is smaller than that of trust in the public administration, which suggests that the delivery channel is relatively less important than which entity provides the service when citizens evaluate e-service trustworthiness.”

In the paper

“Apparently, assessments of trust in the public e-service are the most proximal to individual intentions to keep using the e-service.”

In the paper

“Furthermore, our findings correspond to conclusions from trust transfer studies that include contextually related entities and suggest that people apply analogy rule-based processing, in which presumptions about the related entities guide behavior [57].”

What the sources say

• ?Not checked — no full text of the sourcecites [57] 57. J.D. Lee, A. See, Trust in automation: designing for appropriate reliance, Human Factors 46 (1), 2004, pp. 50-80. source

In the paper

“Although we confirm satisfaction and usefulness as key drivers of continuance intentions [14], our integrative model also indicates that the findings of relationship marketing literature, linking trust to loyalty [42], can be applied to continuance usage frameworks.”

What the sources say

• ?Not checked — no full text of the sourcecites [14] 14. A. Bhattacherjee, Understanding information systems continuance: An expec- tation-confirmation model, MIS Quart. 25 (3), 2001, pp. 351-370. source
• ?Not checked — no full text of the sourcecites [42] 42. L. Harris, M. Goode, The four levels of loyalty and the pivotal role of trust: a study of online service dynamics, J. Retail. 80 (2), 2004, pp. 139-158. source

In the paper

“Spain's power distance rating is 2% higher than the world average, so our sample may be representative of the relevance of trust transfer in e-government evaluations.”

What the sources say

• ?Not matched

  Couldn’t be matched to a paper in Crossref, so it can’t be checked.

  cites [44] 44. G. Hofstede, Culture's Consequences: International Differences in Work-Related Values, Sage Publications, Inc, London, 1980.

In the paper

“Finally, we consider influences by relevant others and reveal that e-government service recommendations by public administrations and interpersonal sources offer important antecedents of individual trust in a public e-service, the underlying technology, and the service provider.”

In the paper

“Spain's power distance rating is 2% higher than the world average, so our sample may be representative of the relevance of trust transfer in e-government evaluations.”

In the paper

“However, people in cultures characterized by a higher uncertainty avoidance are more concerned about risks and desire higher levels of trust [4], and here, Spain's level of uncertainty avoidance is 22% higher than the world average [45].”

What the sources say

• Not checked yetcites [45] 45. G. Hofstede. (2010). Geert Hofstede Cultural Dimensions. http://www.geert- hofstede.com/.

In the paper

“Extending literature that confirms the positive effects of quality on trust in the online store [30], technology trustworthiness [22], and trust in the vendor [73], we show how quality simultaneously affects three different, related entities of trust.”

What the sources say

• ?Not checked — no full text of the sourcecites [30] 30. A. Everard, D. Galletta, How presentation flaws affect perceived site quality, trust, and intention to purchase from an online store, J. Manage. Inform. Syst. 22 (3), 2006, pp. 56-95. source
• ?Not checked — no full text of the sourcecites [22] 22. B. Corbitt, T. Thanasankit, H. Yi, Trust and e-commerce: a study of consumer perceptions, Electron. Commerce Res. Appl. 2 (3), 2003, pp. 203-215. source
• ?Not checked — no full text of the sourcecites [73] 73. A. Nicolaou, D. McKnight, Perceived information quality in data exchanges: Effects on risk, trust, and intention to use, Inform. Syst. Res. 17 (4), 2006, p. 332. source

In the paper

“In addition, cultural values and social norms guide people's beliefs and behaviors [44], so people from different countries likely build trust perceptions differently [4].”

What the sources say

• ?Not checked — no full text of the sourcecites [4] 4. C. Akkaya, P. Wolf, H. Krcmar, The Role of Trust in E-Government Adoption: A Literature Review. Paper presented at the AMCIS 2010, Lima, Peru, 2010.