• 沒有找到結果。

The most typical assumption of research in consumers' behavior is that they are voluntary (Brown and Venkate品, 2005). Prior 1S researches have been conducted primarily in environments of voluntary adoption, the applicability of previous findings to the mandatory usage context is unc1ear (Chan et al., 2010).

For 1S usage in government, a context-value-behavior approach is proposed.

Perceived value plays a mediating role between context and users' behavior. The ability to form representations of perceived value that can be flexibly activated, depending upon context, is a fundamental aspect of human intention and behavior.

It's important to note that context can be established and maintained by government officers and information staff. By combining the 1S success model and consumption value approaches, we hope to shed light on the mechanisms under1ying a form of positive reinforcement in which contexts dictate how perceived value predicts behavior. Our work might also lead to more general principles that can advance understanding of perceived value for which context is important. 1n particular, our 企amework explains how context, when combined with users' perceived value, can affect users' behavior in a variety of government agencles.

96 Exploring Perceived Value and Usage of Information Systems in Govemment Context

The intention to use IS is affected by functional value and social value rather than conditional value. The functional value has the strongest influence on users' satisfaction and intention. Since users in mandatory setting have to fulfill the regulation first, they expect that IS can attain their task requirements.

Therefore, the deployment of IS has to focus on the functionality than social and conditional value. More contextual factors, e.g. relationship network, influencing users' social value and functional value could be added into fu個re research such that influence path 企om operating context through perceived value to behavior wi11 be well understood. In terms of path coefficients, this study encourages the strong support of IS staff to users for better service quality to IS success in government owing to their lack of IS proficiency.

Subjective norm is recommended to be added as an important dimension of IS success in the e-government environment where regulations is crucia1. In contrast with the business environment, it is interesting to find that users' intention to use IS does not count on their satisfaction in government settings.

From e-government policy, all agencies must provide catalogs oftheir records and archives with a pre-specified data format through on-line. delivery to NAA periodically. Subjective norm is higher in government settings than that in business context. Regulatory compliance is often the reason for intensive IS use in government. Comparing the initial model with the rival model of this study, the intention to use IS is not significantly affected by user satisfaction in government context under the existence of subjective norm or regulation. Therefore, subjective norm is a stronger factor in the government context than in business envlronment.

In the aggregate, this 企amework depicts detailed relationship and projects better estimates of IS success in government. Conceming specific contributions, findings of this study could help managers tailor their computerization context to enhance users' satisfaction and intention to use IS in government agencies. Future studies could incorporate a longitudinal measurement to address the dynamics of perceived value and behavior in IS acceptance.

Chiao Da Management Review Vol. 33 No.2, 2013 97

References

Ahituv, N. (1980),“A Systematic Approach toward Assessing the Value of an Information System," MIS Quarter鈔, 4(4), 61-75.

Anderson, J. C. and Gerbing, D. W. (1988),“Structural Equation Modeling in Practice: A Review and Recommends Two-step Approach," Psychological Bulletin, 103(3),411-423.

Bagozzi, R. P. (1992), “The Self-regulation of Attitudes, Intentions and Behavior," Social Psychology Quarterly, 55(2), 178-204.

Batra, R. and Sinha, 1. (2000),“Consumer-Level Factors Moderating the Success ofPrivate Label Brands," Journal of Retailing, 76(2), 175-191.

Bennett, R., Hartel, C. E. 1. and McColl-Kennedy, J. R. (2005),“Experience as a Moderator of Involvement and Satisfaction on Brand Loyalty in a Business to Business Setting," lndustrial Marketing Management, 34( 1), 97-107.

Brown, S. A. and Venkatesh, V. (2005),“Model of Adoption of Technology in Households: A Baseline Model Test and Extension Incorporating Household Life Cycle," MIS Quarter鈔, 29(3), 399-426.

Burton, S., Lichtenstein, D. R., Netemeyer, R. G. and Garretson, J. A. (1998),“A Scale for Measuring Attitude toward Private Label Products and an Examination of Its Psychological and Behavioral Correlates," Journal of the Academy of Marketing Science, 26(4), 293-306.

Carter, L. and Belanger, F. (2005),“The Utilization of E-government Services:

Citizen Trust, Innovation and Acceptance Factors," lnformation System Journal, 15(1), 5-25.

98 Exp/oring Perceived Va/ue and Usage of Information Systems in Government Context

Cazier, J. A., Shao, B. B. M. and St Louis, R. D., (2007),“Sharing Information and Building Trust through Value Congruence," Information Systems Frontiers, 9(5), 515-529.

Chan, F. K. Y., Thong, 1. Y. L., Venkatesh, V., Brown, S. A., Hu, P. J. H. and Tam, K. Y. (2010),“Modeling Citizen Satisfaction with Mandatory Adoption of an E-Government Technology," Journal of the Association for Information Systems, 11(10),519-549.

Chang, H. 旺, Wang, Y. H. and Yang, W. Y., (2009),“The Impact of E-service Quality, Customer Satisfaction and Loyalty on E-marketing: Moderating Effect ofPerceived Value," Total Quality Management, 20(4), 423-443.

Chen, P. T. and Hu, H. H., (2010),“How Determinant Attributes of Service Quality Influence Customer-perceived Value: An Empirical Investigation of the Aus仕alian Coffee Outlet Industry," International Journal of Contemporary Hospitality Manageme肘, 22(4), 535-551.

Churchi11, G. A., Jr. and Surprenant, C. (1982),“An Investigation into the Determinants of Customer Satisfaction," Journal of Marketing Research,

19(4),491-504.

Cronin, J. J., Brady, M. K. and Hult, G. T. M. (2000),“Assessing the Effects of Quality, Value and Customer Satisfaction on Consumer Behavioral Intentions in Service Environments," Journal of Re的iling, 76(2), 193-218.

Delmas, M. and Toffel, M. W. (2004), “Stakeholders and Environmental Management Practices: An Institutional Framework," Business Strategy and the Environment, 13(4),209-222.

DeLone, W. H. and McLean, E. R. (1992),“Information Systems Success: The Quest for the Dependent Variable," Information Systems Research, 3(1), 60-95.

Chiao Da Management Review Vol. 33 No.2, 2013 99

DeLone, W. H. and McLean, E. R. (2003),“The DeLone and McLean Model of Information Systems Success: A Ten-Year Update," Journal of Management

Information 砂'stems 19(4),9-30.

Deng, Z., Lu, Y., Wei, K. K. and Zhang, J., (2010),“Understanding Customer Satisfaction and Loyalty: An Empirical Study of Mobile Instant Messages in China," International Journal of Information Management, 30(4), 289-300.

Fiol, L. 1. c., Alcañiz, E. B., Tena,已tl. A. 孔tl. and García, J. 鼠, (2009),“Customer Loyalty in Clusters: Perceived Value and Satisfaction as Antecedents,"

Journal ofBusiness to Business Marketing, 16(3),276-316.

Fiol, L. J. 仁, Tena, M. A. M. and Garc泊, J. S. (2011), “Multidimensional Perspective of Perceived Value in Indus仕ial Clusters," The Journal of Business & lndustrial Marketing, 26(2), 132-145.

Fishbe血, M. and Ajzen, 1. (1975), Bel呦, Attitude, lntention and Behavior: An lntroduction to Theoη'and Research, Reading, MA: Addison-Wesley.

Fomell, C. and Larcker, D. F. (1981),“Evaluating Structural Equation Models with Unobservable Variables and Measurement Error," Journal of Marketing

Reseαrch, 18(1),39-50.

Geyskens, 1., Steenkamp, J. E. M., Kum缸, N. (1999), “A Meta-analysis of Satisfaction in Marketing Channel Relationships," Journal of Marketing Research, 36(2), 223-238.

Gupta, M. P. and Jana, D. (2003),“E-govemment Evaluation: A Framework and Case S仙dy,"Government lnformation Quarter鈔,20(4), 365-387.

Hamilton, S. and Chervany, N. L. (1981), “Evaluating Information Systems Effectiveness: Part 1 Comparing Evaluation Approaches," MIS Quarter紗, 5(3),

55-69.

100 Exploring Perceived Value and Usage of lnformation Systems in Government Context

Hartwick, J. and Barki, H. (1994),“Explaining th Role of User Participation in Infonnation System Use," Management Science, 的(4),440-465.

Ho, S. H. and Yang, T. Y. (2009),“Understanding Consumer Acceptance of Intemet Banking-From Stayers and Switchers' Perspectives," Chiao Da Management Review, 29(2), 1-20.

Holbrook, M. B. (ο1994),

Services in the Consumption Exper討ience," in Rust, R. T. and Oliver R. L.,

(Eds扎 Service Quality: New Directions in Theory and Practice, (21-71), Newbury Park, CA: Sage Publication.

Hsu, H. (2006),“An Empirical Study of Web Site Quality, Customer Value and Customer Satisfaction Based on E-Shop," The Business Review, 5(1), 190-193.

Hsu, F. M., Chen, T. Y. and Wang, S. (2010),“The Role of Customer Values in Accepting Infonnation Technologies in the Public Infonnation Service Sector," The Ser叫celndustries Journal, 30(7), 1097-1111.

Hu, H. 旺, Kandampully, J. and Juwaheer, T. D. (2009),“Relationships and Impacts of Service Quality, Perceived Value, Customer Satisfaction and Image: An Empirical Study," The Service lndustries Journal, 29(2), 111-125.

Hume, M. and Sul1ivan Mort, G., (2010), “The Consequence of Appraisal Emotion, Service Quality, Perceived Value and Customer Satisfaction on Repurchase Intent in the Perfonning Arts," The Journal of Services Marketing, 24(2), 170-183.

Hung, W. T., Tsang, S. S. and Liu, H. Y. (2010),“Website Characteristics and the Impavt of User Perceived Value on User Behavior in Web 2.0," Academy of lnformation and Management Sciences Journal, 13(1), 1-18.

Chiao Da Management Review Vol. 33 No.2, 2013 101

Lamb, R., King, J. L. and Kling, R. (2003), “Infonnational Environments:

Organizational Contexts ofOn1ine Infonnation Use," Journal ofthe American Society for Information Science and Technology

,

54(2)

,

97-114.

Jöreslog, K. D. and Sörbom, D. (1984), Analysis of Linear Structural Relationship

byMαximum Likelihood, Chicago, IL: Scientific Press.

Kettinger, W. J. and Lee, C. C. (1995),“Perceived Service Quality and User Satisfaction with the Infonnation Service Function," Decision Sciences, 25(5), 737-765.

Kim, S. S. and Malhotra, N. K. (2005),“Predicting System Usage from Intention and Past Use: Scale Issues in the Predictors," Decision Sciences, 36(1), 187-196.

Mason, R. O. (1978), “Measuring Infonnation Output: A Communication Systems Approach," Information & Manageme刑, 1(5),219-234.

Nysve凹,旺, Pedersen, P. E. and Thorbjomsen, H. (2005),“Intentions to U se Mobile Services: Antecedents and Cross-Service Comparisons," Journal of the Academy of Marketing Scie前e,33(3), 330-346.

Oliver, R. (1997), Sati,φction: A Behavioral Perspective on the Consumer, New York, NY: McGraw-Hi11.

Pihlström M. and Brush, G. J. (ο20∞08),

Infonnation and Entertainment Mobi1e 臼ervl此ce試S s丸," Psychology

&

Marketing, 25(8), 732-755.

Pitt, L. F., Watson, R. T. and Kavan, C. B. (1995),“Service Quality: A Measure of Infonnation Systems Effectiveness," MIS Quarter,鈔, 19(2), 173-188.

Pope院, N. (1998),

ProductUs試e吼," The Journ αalofP仟r旬Odí御uct αand Braα n叫ldM釘u切仰nα'ge仰mηle仰nt, 7(ω2勾), 124-136.

102

E

Exp/oring Perceived Va/ue and Usage

01

Information Systems in Government Context

Pura, M. (2005),“Linking Perceived Value and Loyalty in Location-based Mobile Services," Managing Service Quali紗,的 (6), 509-538.

Robbins, S. P. (2003), Organizational Behavior, 10th Edition, Englewood Cliffs, NJ :Prentice-Hall.

Seiders, K., Voss, G. B. Grew祉, D. and Godfrey, A. L. (2005),“Do Satisfied Customers Buy More? Examining Moderating Inf1uences in a Retailing Context," Journal of Marketing, 69(4), 26-43.

Shannon, C. E. and Weaver, W. (1949), The Mathematical Theory of Communication, Urbana, IL: University of Illinois Press.

Sheth, J. N., Newman, B. 1. and Gross, B. L. (1991),“Why We Buy What We Buy: A Theory of Consumption Values," Journal of Business Research, 22(2), 159-170.

Sh此la, P. (2010),“Effects ofPerceived Sacrifice, Quality, Value and Satisfaction on Behavioral Intentions in the Service Environment," Services Marketing

Quarter鈔, 31(4), 466-484.

Stephens, D. O. (1998),“Megatrends in Records Management," ARMA Records Management Quarter鈔, 32( 1), 3-9.

Stewa肘, G. T. (2006), Re/ationa/ Va/ue Exchange: A Grounded Theory Study of Buyers' and Sellers' Approaches to Building, Maintaining and/or Disso/ving Interorganizational Relationships, Unpublished Ph.D. Dissertation, The University ofTennessee.

Sullivan M。此, G. and Drennan, J. (2005),“Marketing M-services: Establishing a Usage Benefit Typology Related to Mobile User Characteristics," Database Marketing & Customer Strategy Management, 12(4),327-341.

Sweeney, J. C. and Sout缸, G. N. (ο2001) ,

Development of a Multiple Item Sca叫le," JournαalofRet,ωαi的lin均g, 77(2), 203-221.

Chiao Da Management Review Vol. 33 No.2, 2013 103

Sweeney, J. 仁, Soutar, G. N. and Johnson, L.W. (1999),“The Ro1e of Perceived Risk in the Quality-va1ue Relationship: A study in a Retai1 Environment,"

Journal of Retailing, 75(1), 77-105.

Tha1er, R. (1985), “Menta1 Accounting and Consumer Choice," Marketing Science, 4(3), 199-214.

Van Birgelen, M., De Jo月, A. and De Ruyter, K. (2006),“Multi-channe1 Service Retai1ing: The Effects of Channel Performance Satisfaction on Behaviora1 Intentions,\JournalofRetailing, 82(4), 367-377.

Venkatesh, V. and Davis, F. D. (2000), “A Theoretica1 Extension of the Techno1ogy Acceptance Mode1: Four Longitudina1 Fie1d Studies,"

Management Science, 46(2), 186-204.

Wang, J. S., Wu, 1. C. T. and Fu, H. 且. (ο2010), H

Perceived Va1ue, Brand Reputation and Loya1ty: A Study on Traveling Industry," Journal of Informαtion & Optimization Sciences, 31(3), 659-678.

Wang, Y. S. (2008),“Assessing E-commerce Systems Success: A Respecification and Va1idation ofthe DeLone and McLean Mode1 ofIS Success," Information

砂stemsJournal, 18(5),529-557.

Wang, Y., Lo, H. P., Chi, R. and Yang, Y. (2004),“An Integrated Framework for Customer Va1ue and Customer-re1ationship-management Performance: a Customer-based Perspective 企om China," Managing Service Quali紗, 14(2), 169-182.

West, D. M. (2006), Global E-Government, 2006, Center for Public Po1icy, Brown University.

Wo∞od釘ruf託f, R. (1997),

Ad伽va削n削lta咚ge," Journ切nαaloft的heAcωαd必em仰?η昀仰1ηtyofMα'ark知的etin愕1喀gScience, 25(2), 139-153.

104 Exp/oring Perceived Va/ue and Usage of Information Systems in Government Context

Zeithaml,

v.

(1988),

Means-End Model and Synthesis of Ev叫id由en1昀ce,"JournαalofM必σ抑r成keωtin1喀g, 52(3), 2-22.

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