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An empirical study on consumer first purchase intention in online shopping: integrating initial trust and TAM

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Abstract

To understand the first purchase mechanism in online shopping, this study established an integrated model of initial trust and TAM. According to the analysis results, initial trust beliefs were significantly influenced by initial trust bases such as company reputation, structural assurance, and trusting stance, and initial trust beliefs indirectly influenced the first purchase intention through consumer attitude. In TAM constructs, only perceived usefulness directly influenced the usage attitude of online shopping systems, then indirectly influenced the first purchase intention. These results imply that online consumers consider perceived ease of use as a basic requirement for system design. It was also found that there is a time cushion between the time of first purchase and the time of belief formation. On the whole, these results reinforced the theory that a relationship between belief (trust and perceived usefulness) and intention was better explained when it was mediated by attitude.

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References

  1. Albarracin, D., Johnson, B. T., Fishbein, M., & Muellerleile, P. A. (2001). Theories of reasoned action and planned behavior as models of condom use: A meta-analysis. Psychological Bulletin, 127(1), 142–161.

    Article  Google Scholar 

  2. Anne, M., & Jøsang, A. (2004). Technologies for trust in electronic commerce. Electronic Commerce Research, 4, 9–21.

    Article  Google Scholar 

  3. Ba, S., & Pavlou, P. A. (2002). Evidence of the effect of trust building technology in electronic markets: Price premiums and buyer behavior. Management Information Systems Quarterly, 26(3), 243–268.

    Article  Google Scholar 

  4. Bahmanziari, T., Odomb, M. D., & Ugrin, J. C. (2008). An experimental evaluation of the effects of internal and external e-assurance on initial trust formation in B2C e-commerce. International Journal of Accounting Information Systems, 10(3), 152–170.

    Article  Google Scholar 

  5. Barber, B. (1983). The logic and limits of trust. New Brunswick: Rutgers University Press.

    Google Scholar 

  6. Benassi, P. (1999). TRUSTe: An online privacy seal program. Communications of the ACM, 42(2), 56–59.

    Article  Google Scholar 

  7. Breugelmans, E., Campo, K., & Gijsbrechts, E. (2006). Opportunities for active stock-out management in online stores: The impact of the stock-out policy on online stock-out reactions. Journal of Retailing, 82(3), 215–228.

    Article  Google Scholar 

  8. Brown, S. A., Venkatesh, V., Kuruzovich, J., & Massey, A. P. (2008). Expectation confirmation: An examination of three competing models. Organizational Behavior and Human Decision Processes, 105, 52–66.

    Article  Google Scholar 

  9. Cases, A., Fournier, C., Dubois, P., & Tanner, J. F. Jr. (2010). Web site spill over to email campaigns: The role of privacy, trust and shoppers’ attitudes. Journal of Business Research, 63, 993–999.

    Article  Google Scholar 

  10. Chang, H. H., & Chen, S. W. (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.

    Article  Google Scholar 

  11. Chang, E., Dillon, T. S., & Hussain, F. K. (2006). Trust and reputation for service-oriented environments: Technologies for building business intelligence and consumer confidence. Chichester: Wiley.

    Book  Google Scholar 

  12. Chen, Y., & Barnes, S. (2007). Initial trust and online buyer behavior. Industrial Management & Data Systems, 107(1), 21–36.

    Article  Google Scholar 

  13. Chen, L., & Tan, J. (2004). Technology adaptation in e-commerce: Key determinants of virtual stores acceptance. European Management Journal, 22(1), 74–86.

    Article  Google Scholar 

  14. Choi, T. M., Li, D., & Yan, H. (2004). Optimal returns policy for supply chain with e-marketplace. International Journal of Production Economics, 88(2), 205–227.

    Article  Google Scholar 

  15. Cravens, K., Oliver, E. G., & Ramamoorti, S. (2003). The reputation index: Measuring and managing corporate reputation. European Management Journal, 21(2), 201–212.

    Article  Google Scholar 

  16. Cretu, A. E., & Brodie, R. J. (2007). The influence of brand image and company reputation where manufacturers market to small firms: A customer value perspective. Industrial Marketing Management, 36, 230–240.

    Article  Google Scholar 

  17. Dasgupta, P. (1988). Trust as a commodity. In D. Gambetta (Ed.), Trust: Making and breaking cooperative relations (pp. 49–72). New York: Basil Blackwell.

    Google Scholar 

  18. Davis, F. D. (1986). A technology acceptance model for empirically testing new end-user information systems: Theory and results. Doctoral dissertation, Sloan School of Management, Massachusetts Institute of Technology.

  19. Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. Management Information Systems Quarterly, 13, 319–339.

    Article  Google Scholar 

  20. Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1989). User acceptance of computer technology: A comparison of two theoretical models. Management Science, 35(8), 982–1003.

    Article  Google Scholar 

  21. Delgado-Ballester, E., & Hernáandez-Espallardo, M. (2008). Effect of brand associations on consumer reactions to unknown on-line brands. International Journal of Electronic Commerce, 12(3), 81–113.

    Article  Google Scholar 

  22. Doney, P. M., & Cannon, J. P. (1997). An examination of the nature of trust in buyer–seller relationships. Journal of Marketing, 61, 35–51.

    Article  Google Scholar 

  23. Fishbein, M., & Ajzen, I. (1975). Belief, attitude, intention and behavior: An introduction to theory and research. Reading: Addison-Wesley.

    Google Scholar 

  24. Fung, R., & Lee, M. (1999). EC-trust: Exploring the antecedent factors. In Proceedings of America conference of information systems (pp. 517–519).

    Google Scholar 

  25. Ganesan, S. (1994). Determinants of long-term orientation in buyer-seller relationships. Journal of Marketing, 58, 1–19.

    Article  Google Scholar 

  26. Gefen, D. (2000). E-commerce: The role of familiarity and trust. Omega, 28(6), 725–737.

    Article  Google Scholar 

  27. Gefen, D., & Straub, D. (2000). The relative importance of perceived ease of use in IS adoption: A study of E-commerce adoption. Journal of the Association for Information Systems, 1(8), 1–28.

    Google Scholar 

  28. Gefen, D., Karahanna, E., & Straub, D. W. (2003). Trust and TAM in online shopping: An integrated model. Management Information Systems Quarterly, 27(1), 51–90.

    Google Scholar 

  29. Grabner-Kräuter, S., & Kaluscha, E. A. (2003). Empirical research in on-line trust: A review and critical assessment. International Journal of Human-Computer Studies, 58, 783–812.

    Article  Google Scholar 

  30. Green, D. T., & Pearson, J. M. (2011). Integrating website usability with the electronic commerce acceptance model. Behaviour & Information Technology, 30(2), 181–199.

    Article  Google Scholar 

  31. Gregg, D. G., & Walczak, S. (2010). The relationship between website quality, trust and price premiums at online auctions. Electronic Commerce Research, 10, 1–25.

    Article  Google Scholar 

  32. Hair, J. H. Jr., Anderson, R. E., Tatham, R. L., & Black, W. C. (1998). Multivariate data analysis (5th ed.). Englewood Cliffs: Prentice Hall.

    Google Scholar 

  33. Hassanein, K., & Head, M. (2007). Manipulating perceived social presence through the web interface and its impact on attitude towards online shopping. International Journal of Human-Computer Studies, 65, 689–708.

    Article  Google Scholar 

  34. Hauser, J. R., & Shugan, S. M. (1980). Intensity measures of consumer preference. Operations Research, 28, 279–320.

    Article  Google Scholar 

  35. Jarvenpaa, S. L., Tractinsky, N., & Vitale, M. (2000). Consumer trust in an Internet store. Information Technology and Management, 1(1/2), 45–71.

    Article  Google Scholar 

  36. Johns, J. L. (1996). A concept analysis of trust. Journal of Advanced Nursing, 24(1), 76–83.

    Article  Google Scholar 

  37. Keen, P. G. W., Balance, C., Chan, S., & Schrump, S. (1999). Electronic commerce relationships: Trust by design. Englewood Cliffs: Prentice-Hall.

    Google Scholar 

  38. Keh, H. T., & Xie, Y. (2009). Corporate reputation and customer behavioral intentions: The roles of trust, identification and commitment. Industrial Marketing Management, 38(7), 732–742.

    Article  Google Scholar 

  39. Kim, E., & Tadisina, S. (2007). A model of customers’ trust in e-businesses: Micro-level inter-party trust formation. The Journal of Computer Information Systems, 48(1), 88–104.

    Google Scholar 

  40. Kim, D. J., Ferrin, D. L., & Rao, H. R. (2008). A trust-based consumer decision-making model in electronic commerce: The role of trust, perceived risk, and their antecedents. Decision Support Systems, 44, 544–564.

    Article  Google Scholar 

  41. 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.

    Article  Google Scholar 

  42. Komiak, S. Y. X., & Benbasat, I. (2008). A two-process view of trust and distrust building in recommendation agents: A process-tracing study. Journal of the Association for Information Systems, 9(12), 727–747.

    Google Scholar 

  43. Koufaris, K., & Hampton-Sosa, W. (2004). The development of initial trust in an online company by new customers. Information & Management, 41, 377–397.

    Article  Google Scholar 

  44. Kracher, B., Corritore, C. L., & Wiedenbeck, S. (2005). A foundation for understanding online trust in electronic commerce. Journal of Information, Communication & Ethics in Society, 3, 131–141.

    Article  Google Scholar 

  45. Larcker, D. F., & Lessig, V. P. (1980). Perceived usefulness of information: A psychometric examination. Decision Sciences, 11, 121–134.

    Article  Google Scholar 

  46. Lee, B. K. (2004). Corporate image examined in a Chinese-based context: A study of a young educated public in Hong Kong. Journal of Public Relations Research, 16(1), 1–34.

    Article  Google Scholar 

  47. Lee, P. (2002). Behavioral model of online purchasers in e-commerce environment. Electronic Commerce Research, 2(1–2), 75–85.

    Article  Google Scholar 

  48. Lee, M. (2009). Predicting and explaining the adoption of online trading: An empirical study in Taiwan. Decision Support Systems, 47, 133–142.

    Article  Google Scholar 

  49. Lee, J., & Choi, B. (2011). Effects of initial and ongoing trust in IT outsourcing: A bilateral perspective. Information & Management, 48, 96–105.

    Article  Google Scholar 

  50. Lee, S. M., & Lee, S. J. (2005–2006). Consumers’ initial trust toward second-hand products in the electronic market. The Journal of Computer Information Systems, 46(2), 85–98.

    Google Scholar 

  51. Lee, S., & Lim, G. G. (2005). The impact of partnership attributes on EDI implementation success. Information & Management, 41(2), 503–516.

    Google Scholar 

  52. Lee, M. K. O., & Turban, E. (2001). A trust model for consumer internet shopping. International Journal of Electronic Commerce, 6(1), 75–91.

    Google Scholar 

  53. Lee, D., Park, J., & Ahn, J. (2001). On the explanation of factors affecting e-commerce adoption. In Proceedings of the 22th international conference on information systems, New Orleans, Louisiana, 16–19 December 2001.

    Google Scholar 

  54. Lewicki, R. J., & Bunker, B. B. (1995). Trust in relationships: A model of development and decline. In B. B. Bunker & J. Z. Rubin (Eds.), Conflict, cooperation and justice (pp. 133–173). San Francisco: Jossey-Bass.

    Google Scholar 

  55. Li, Z., & Li, M. (2008). Research on influencing factors of consumer initial trust based on mobile commerce. In International symposium on electronic commerce and security (pp. 263–267).

    Chapter  Google Scholar 

  56. Li, X., Hess, T. J., & Valacich, J. S. (2008). Why do we trust new technology? A study of initial trust formation with organizational information systems. Journal of Strategic Information Systems, 17, 39–71.

    Article  Google Scholar 

  57. Liaw, S., & Huang, H. (2003). An investigation of user attitudes toward search engines as an information retrieval tool. Computers in Human Behavior, 19, 751–765.

    Article  Google Scholar 

  58. Lim, G. G., Kang, J. Y., Lee, J. K., & Lee, D. C. (2011). Rule-based personalized comparison shopping including delivery cost. Electronic Commerce Research and Applications. doi:10.1016/j.elerap.2011.07.002.

    Google Scholar 

  59. López-Nicolás, C., Molina-Castillo, F. J., & Bouwman, H. (2008). An assessment of advanced mobile services acceptance: Contributions from TAM and diffusion theory models. Information & Management, 45(6), 359–364.

    Article  Google Scholar 

  60. Mäenpää, K., Kale, S. H., Kuusela, H., & Mesiranta, N. (2008). Consumer perceptions of Internet banking in Finland: The moderating role of familiarity. Journal of Retailing and Consumer Services, 15, 266–276.

    Article  Google Scholar 

  61. Mascha, M. F., Miller, C. L., & Janvrin, D. J. (2011). The effect of encryption on Internet purchase intent in multiple vendor and product risk settings. Electronic Commerce Research. doi:10.1007/s10660-011-9080-6.

    Google Scholar 

  62. Mayer, R. C., Davis, J. H., & Schoorman, F. D. (1995). An integrative model of organizational trust. The Academy of Management Review, 20(3), 709–734.

    Google Scholar 

  63. McCole, P., Ramsey, E., & Williams, J. (2010). Trust considerations on attitudes towards online purchasing: The moderating effect of privacy and security concerns. Journal of Business Research, 63(9–10), 1018–1024.

    Article  Google Scholar 

  64. McKnight, D. H., & Chervany, N. L. (2001). Trust and distrust definitions: One bite at a time. In R. Falcone, M. Singh, & Y. H. Tan (Eds.), Trust in cyber-societies: Integrating the human and artificial perspectives (pp. 27–54). Berlin: Springer.

    Chapter  Google Scholar 

  65. McKnight, D. H., & Chervany, N. L. (2002). What trust means in e-commerce customer relationships: An interdisciplinary conceptual typology. AEÜ. International Journal of Electronics and Communications, 6(2), 35–59.

    Google Scholar 

  66. McKnight, D. H., Cummings, L. L., & Chervany, N. L. (1998). Initial trust formation in new organizational relationships. The Academy of Management Review, 23(3), 473–490.

    Google Scholar 

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

    Article  Google Scholar 

  68. McKnight, D. H., Choudhury, V., & Kacmar, C. (2002b). The impact of initial consumer trust on intentions to transact with a web site: A trust building model. Journal of Strategic Information Systems, 11(3/4), 297–323.

    Article  Google Scholar 

  69. Ortega Egea, J. M., & Román González, M. V. (2011). Explaining physicians’ acceptance of EHCR systems: An extension of TAM with trust and risk factors. Computers in Human Behavior, 27(1), 319–332.

    Article  Google Scholar 

  70. Palvia, P. (2009). The role of trust in e-commerce relational exchange: A unified model. Information & Management, 46, 213–220.

    Article  Google Scholar 

  71. Pavlou, P. A. (2002). Institution-based trust in interorganizational exchange relationships: The role of online B2B marketplaces on trust formation. Journal of Strategic Information Systems, 11(3–4), 215–243.

    Article  Google Scholar 

  72. Pavlou, P. A. (2003). Consumer acceptance of electronic commerce: Integrating trust and risk with the technology acceptance model. International Journal of Electronic Commerce, 7(3), 69–103.

    Google Scholar 

  73. Pavlou, P. A., Liang, H., & Xue, Y. (2007). Understanding and mitigating uncertainty in online exchange relationships: A principal-agent perspective. Management Information Systems Quarterly, 31(1), 105–136.

    Google Scholar 

  74. Powell, W. W. (1996). Trust-based forms of governance. In R. M. Kramer & T. R. Tyler (Eds.), Trust in organizations: Frontiers of theory and research (pp. 51–67). Thousand Oaks: Sage.

    Google Scholar 

  75. Rajecki, D. W. (1990). Attitudes (2nd ed.). Sunderland: Sinauer Associates.

    Google Scholar 

  76. Ramanathan, R. (2011). An empirical analysis on the influence of risk on relationships between handling of product returns and customer loyalty in E-commerce. International Journal of Production Economics, 130(2), 255–261.

    Article  Google Scholar 

  77. Reichheid, F. F., & Schefter, P. (2000). E-loyalty: Your secret weapon on the web. Harvard Business Review, 78(4), 105–113.

    Google Scholar 

  78. Rotter, J. B. (1971). Generalized expectancies for interpersonal trust. The American Psychologist, 26, 443–452.

    Article  Google Scholar 

  79. Salo, J., & Karjaluoto, H. (2007). A conceptual model of trust in the online environment. Online Information Review, 31(5), 604–621.

    Article  Google Scholar 

  80. Schlosser, A. E., White, T. B., & Lloyd, S. M. (2006). Converting web site visitors into buyers: How web site investment increases trusting beliefs and online purchase intentions. Journal of Marketing, 70(2), 133–148.

    Article  Google Scholar 

  81. Seppänen, R., Blomqvist, K., & Sundqvist, S. (2007). Measuring inter-organizational trust: A critical review of the empirical research in 1990–2003. Industrial Marketing Management, 36, 249–265.

    Article  Google Scholar 

  82. Shih, H. (2004). Extended technology acceptance model of Internet utilization behavior. Information & Management, 41, 719–729.

    Article  Google Scholar 

  83. Suh, B., & Han, I. (2002). Effect of trust on customer acceptance of Internet banking. Electronic Commerce Research and Applications, 1(3–4), 247–263.

    Article  Google Scholar 

  84. Sung, T. K. (2006). E-commerce critical success factors: East vs. West. Technological Forecasting & Social Change, 73, 1161–1177.

    Article  Google Scholar 

  85. Swanson, E. B. (1987). Information channel disposition and use. Decision Sciences, 18, 131–145.

    Article  Google Scholar 

  86. Tan, Y., & Thoen, W. (2000–2001). Toward a generic model of trust for electronic commerce. International Journal of Electronic Commerce, 5(2), 61–74.

    Google Scholar 

  87. Taylor, S., & Todd, P. A. (1995). Understanding information technology usage: A test of competing models. Information Systems Research, 6(2), 144–176.

    Article  Google Scholar 

  88. Tung, F., Chang, S., & Chou, C. (2008). An extension of trust and TAM model with IDT in the adoption of the electronic logistics information system in HIS in the medical industry. International Journal of Medical Informatics, 77, 324–335.

    Article  Google Scholar 

  89. Ulbrich, F., Christensen, T., & Stankus, L. (2011). Gender-specific on-line shopping preferences. Electronic Commerce Research, 11, 181–199.

    Article  Google Scholar 

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

    Article  Google Scholar 

  91. Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User acceptance of information technology: Toward a unified view. Management Information Systems Quarterly, 27(3), 425–478.

    Google Scholar 

  92. Wakefield, R. J., Stocks, M. H., & Wilder, W. M. (2004). The role of web site characteristics in initial trust formation. The Journal of Computer Information Systems, 45(1), 94–103.

    Google Scholar 

  93. Walczuch, R., & Lundgren, H. (2004). Psychological antecedents of institution-based consumer trust in e-retailing. Information & Management, 42, 159–177.

    Article  Google Scholar 

  94. Wang, Y., & Sun, S. (2010). Assessing beliefs, attitudes, and behavioral responses toward online advertising in three countries. International Business Review, 19(4), 333–344.

    Article  Google Scholar 

  95. Wang, S., Beatty, S. E., & Foxx, W. (2004). Signaling the trustworthiness of small online retailers. Journal of Interactive Marketing, 18(1), 53–69.

    Article  Google Scholar 

  96. Weigelt, K., & Camerer, C. (1988). Reputation and corporate strategy: A review of recent theory and applications. Strategic Management Journal, 9, 443–454.

    Article  Google Scholar 

  97. Wu, I., & Chen, J. (2005). An extension of trust and TAM model with TPB in the initial adoption of on-line tax: An empirical study. International Journal of Human-Computer Studies, 62, 784–808.

    Article  Google Scholar 

  98. Yu, J., Ha, I., Choi, M., & Rho, J. (2005). Extending the TAM for a t-commerce. Information & Management, 42, 965–976.

    Article  Google Scholar 

  99. Zucker, L. G. (1986). Production of trust: Institutional source of economic structure, 1840–1920. In B. M. Staw & L. L. Cummings (Eds.), Research in Organizational Behavior (Vol. 8, pp. 53–111). Greenwich: JAI Press.

    Google Scholar 

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Correspondence to Jin Baek Kim.

Appendix: Measures for constructs

Appendix: Measures for constructs

Directions: This survey deals with your opinions toward online sellers and their selling systems when you first visit their online stores. Please check the extent to which you think online sellers and their selling systems possess the features described by each statement. (Scale format: 1=strongly disagree,7=strongly agree).

Construct

Measure

Reference

Company Reputation

CR_1

It is expected that online sellers are well known

Brown et al. [8], Kim et al. [41], Koufaris and Hampton-Sosa [43]

CR_2

It is expected that online sellers have good reputations

CR_3

It is expected that online sellers have reputations for being honest

CR_4

It is expected that online sellers are known to be concerned about customers

CR_5

It is expected that online sellers offer good services

Structural Assurance

SA_1

It is expected that online sellers guarantee compensation for monetary losses that might occur during purchasing

Kim et al. [41]

SA_2

It is expected that online sellers guarantee the protection of customers’ personal information

SA_3

It is expected that online sellers publish a policy on the protection of purchasing data

SA_4

It is expected that online sellers publish a policy on customer protection from accidents

Trusting Stance

TS_1

I am not cautious in using new online sellers to purchase products and services

Brown et al. [8], Chen and Barnes [12], Kim et al. [41]

TS_2

I tend to trust online sellers, even though I have little knowledge of them

TS_3

I feel that trusting online sellers is not difficult

TS_4

I don’t avoid using new online sellers to purchase products and services

TS_5

If possible, I don’t avoid using new technologies to purchase products and services

Initial Trust Beliefs

IT_1

I believe that online sellers provide reliable purchasing services

Kim et al. [41], Wu and Chen [97]

IT_2

I believe that online sellers provide safe purchasing services

IT_3

I believe that online sellers are predictable about their services

IT_4

I believe that online sellers provide detailed information about the purchase process

PU of Online Shopping Systems

PU_1

Online shopping systems are useful for searching for products and services

Lee [48], Shih [82]

PU_2

Online shopping systems can be more profitable than other purchasing methods

PU_3

Online shopping systems enable me to purchase more quickly

PEOU of Online Shopping Systems

PE_1

Interaction with an online shopping system is clear and understandable

Hassanein and Head [33], Lee [48]

PE_2

An online shopping system is easy to use

PE_3

Interaction with an online shopping system does not require a lot of mental effort

Usage Attitude of Online Shopping Systemsa

UA_1

I don’t like the idea of using an online shopping system to purchase products and services

Lee [48], Yu et al. [98]

UA_2

Using an online shopping system to purchase products and services isn’t a pleasant experience

UA_3

Using an online shopping system to purchase products and services isn’t interesting

Initial Trust Attitude toward e-Vendorsa

TA_1

Recommendation of purchasing products and services from online sellers will not have favorable consequences

Hassanein and Head [33], Li et al. [56]

TA_2

I don’t have positive feelings towards purchasing products and services from online sellers

TA_3

It would not be a good idea to buy products and services from online sellers

First Purchase Intentiona

PI_1

I don’t believe it is worthwhile to purchase products and services online

Liaw and Huang [57], Wu and Chen [97]

PI_2

I don’t intend to use online transaction to purchase products and services in the future

PI_3

I want to avoid using online transaction as much as possible

  1. aReverse coding

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Kim, J.B. An empirical study on consumer first purchase intention in online shopping: integrating initial trust and TAM. Electron Commer Res 12, 125–150 (2012). https://doi.org/10.1007/s10660-012-9089-5

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