Ali, A., Tate, M., Rabaa’i, A., & Zhang, M. (2012). A critical evaluation and comparison of two formative measures of system quality using criterion variables. In 23rd Australasian Conference on Information Systems.
Andreev, P., Heart, T., Maoz, H., & Pliskin, N. (2009). Validating Formative Partial Least Squares (PLS) Models: Meth-odological Review and Empirical Illustration. In 13th International Conference on Information Systems (ICIS).
Armstrong, J. S., & Overton, T. S. (1977). Estimating Non-Response Bias in Mail Surveys. Journal of Marketing Re-search, 14(8), 396-402.
Au, N., Ngai, E. W. T., & Cheng, T. C. E. (2008). Extending the understanding of end user information systems satisfac-tion formation: An equitable needs fulfillment model approach. MIS Quarterly, 32(1), 43-66.
Au, N., Ngaib, E., & Chengb, E. (2002). A critical review of end-user information system satisfaction research and a new research framework. Omega, 30, 451 - 478.
Bailey, E., & Pearson, W. (1983). Development of a tool for measuring and analyzing computer user satisfaction. Man-agement Science, 29(5), 530-545.
Baroudi, J., & Orlikowski, J. (1988). A short-form measure of user information satisfaction: A psychometric evaluation of notes on use. Journal of Management lnformation Systems, 4(4), 44-59.
Bergersen, B. (2004). User Satisfaction and Influencing Issues. Network and System Administration Research Surveys, 1, 5-26.
Bhattacherjee, A. (2001). Understanding Information Systems Continuance: An Expectation-Confirmation Model. MIS Quarterly, 25(3), 351-370.
Boudreau, M.-C., Gefen, D., & Straub, D. W. (2001). Validation in Information Systems Research: A State-of-the-Art As-sessment. MIS Quarterly, 25(1), 1-16.
Briggs, R. O., Reinig, B. A., & de Vreede, G.-J. (2008). The Yield Shift Theory of Satisfaction and Its Application to the IS/IT Domain. Journal of the Association for Information Systems, 9(5), 267-293.
Burton-Jones, A., & Straub, D. W. (2006). Reconceptualizing System Usage: An Approach and Empirical Test. Infor-mation Systems Research, 17(3), 228-246.
Campbell, D. T., & Fiske, D. W. (1959). Convergent and discriminant validation by the multitrait-multimethod matrix. Psychological Bulletin, 56(2), 81-105.
Carlson, W., & McNurlin, B. (1992). Basic Principles for Measuring IT Value. I/S Analyzer, 30(10), 1-16.
Carmines, E. G., & Zeller, R. A. (1979). Reliability and validity assessment. Beverly Hills, California: Sage Publications.
Cenfetelli, R. T., & Bassellier, G. (2009). Interpretation of Formative Measurement in Informations Systems Research. MIS Quarterly, 33(4), 689-707.
Cenfetelli, R. T., Benbasat, I., & Al-Natour, S. (2008). Addressing the What and How of Online Services: Positioning Supporting-Services Functionality and Service Quality for Business-to-Consumer Success. Information Systems Re-search, 19(2), 161-181.
Chang, J., & King, W. (2005). Measuring the Performance of Information Systems: A Functional Scorecard. Journal of Management Information Systems, 22(1), 85-115
Cheng, E., & Ngai, T. (1994). Management support systems for service quality management: A research direction. Inter-national Journal for Quality and Reliability Management, 11(8), 44-56.
Chin, W. (1998a). Issues and opinion on structural equation modeling. MIS Quarterly, 22(1), 7-16.
Chin, W. (1998b). The partial least squares approach to structural equation modeling. In G. A. Marcoulides (Ed.), Mod-ern Methods for Business Research (pp. 295-358). Mahwah, NJ: Lawrence Erlbaum Associates.
Chin, W. (2010). Bootstrap Cross-validation Indices for PLS Path Model Assessment. In V. E. Vinzi, H. Wang, J. Henseler & W. Chin (Eds.), Handbook of partial least squares: Concepts, methods and applications in marketing and related fields. Heidelberg: Springer.
Cronbach, L. J. (1951). Coefficient alpha and the internal structure of tests. Psychometrika, 16(3), 297-334.
Delone, H. (1988). Determinants of success for computer usage in small business. MIS Quarterly, 12(1), 51-61.
Delone, H., & Mclean, E. (2003). The DeLone and McLean Model of Information Systems Success: A Ten-Year Update. Journal of Management Information Systems, 19(4), 3-30.
DeLone, W. H., & McLean, E. R. (1992). Information systems success: The quest for the dependent variable. Information Systems Research, 3(1), 60-95.
Diamantopoulos, A. (2006). The error term in formative measurement models: Interpretation and modeling implications. Journal of Modelling in Management, 1(1), 7-17.
Diamantopoulos, A., & Siguaw, J. A. (2006). Formative Versus Reflective Indicators in Organizational Measure Devel-opment: A Comparison and Empirical Illustration. British Journal of Management 17(4), 263-282.
Diamantopoulos, A., & Winklhofer, H. M. (2001). Index Construction with Formative Indicators: An Alternative to Scale Development. Journal of Marketing Research, 38(2), 269-277.
Diamantopoulos, A., Riefler, P., & Roth, K. P. (2008). Advancing formative measurement models. Journal of Business Research, 61(12), 1203-1218.
Doll, W. J., & Torkzadeh, G. (1988). The Measure of End-User Computing Satisfaction. MIS Quarterly, 12(2), 259-274.
Etezadi-Amoli, J., & Farhoomand, A. F. (1996). A structural model of end user computing satisfaction and user perfor-mance. Information & Management, 30(2), 65-73.
Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18(1), 39-50.
Gable, G., & Sedera, D. (2009). Formative and reflective measurement and validation mismatch in survey research : an archival analysis of information systems success constructs 1985-2007. Paper presented at the Thirtieth International Conference on Information Systems, Phoenix, Arizona: USA.
Gable, G., Sedera, D., & Chan, T. (2008). Re-conceptualizing Information System Success: The ISImpact Measurement Model. Journal of the Association for Information Systems, 9(7), 377-408.
Galletta, F., & Lederer, S. (1989). Some cautions on the measurement of user information satisfaction. Decision Sciences, 20(3), 419-439.
Gefen, D., Rigdon, E., & Straub, D. (2011). EDITOR’S COMMENTS: An Update and Extension to SEM Guidelines for Administrative and Social Science Research. MIS Quarterly, 35(2), iii-xiv.
Goodhue, D. (1995). Understanding User Evaluations of Information Systems. Management Science, 41(12), 1827-1844.
Götz, O., Liehr-Gobbers, K., & Krafft, M. (2010). Evaluation of structural equation models using the partial least squares (PLS) approach. In V. Esposito Vinzi, H. Wang, J. Henseler & W. W. Chin (Eds.), Handbook of partial least squares: Concepts, methods and applications in marketing and related fields. Heidelberg: Springer.
Gregor, S. (2006). The nature of theory in information systems. MIS Quarterly, 30(3), 611-642.
Hair, J. F., Hollingsworth, C., Randolph, A., & Chong, A. (2017). An updated and expanded assessment of PLS-SEM in in-formation systems research. Industrial Management & Data Systems, 117(3), 442–458. https://doi.org/10.1108/IMDS-04-2016-0130
Hair, J. F., Sarstedt, M., Hopkins, L., & G. Kuppelwieser, V. (2014). Partial least squares structural equation modeling (PLS-SEM): An emerging tool in business research. European Business Review, 26(2), 106–121. https://doi.org/10.1108/EBR-10-2013-0128
Hammouri, Q., Altaher, A., Al-Gasawneh, J., Rabaa'i, A., Aloqool, A., and Khataybeh, H. (2022). Understanding the De-terminants of Digital Shopping Features: The Role of Promo Code on Customer Behavioral Intention. International Journal of Data and Network Science, 6(3), 641-650.
Hauser, R. M., & Goldberger, A. S. (1971). The treatment of unobservable variables in path analysis. In H. L. Costner (Ed.), Sociological Methodology (pp. 81-117). London: Jossey-Bass.
Henseler, J., Ringle, C. M., & Sinkovics, R. R. (2009). The use of partial least squares path modeling in international mar-keting. Advances in International Marketing, 20, 277-320.
Igbaria, M., & Tan, M. (1997). The Consequences of Information Technology Acceptance on Subsequent Individual Per-formance. Information and Management, 32(3), 113-121.
Iivari, J. (1987). User information satisfaction (UIS) reconsidered: An information system as the antecedent of UIS. Paper presented at the Eighth International Conference on Information Systems.
Ives, B., Olson, H., & Baroudi, J. (1983). The measurement of user information satisfaction. Communications of the ACM, 26(10), 785-793.
Jahner, S., Leimeister, J. M., Knebel, U., & Krcmar, H. (2008). A Cross-Cultural Comparison of Perceived Strategic Im-portance of RFID for CIOs in Germany and Italy. In I. C. Society (Ed.), 41st Annual Hawaii International Conference on System Sciences.
Jarvis, C. B., MacKenzie, S. B., & Podsakoff, P. M. (2003). A Critical Review of Construct Indicators and Measurement Model Misspecification in Marketing and Consumer Research. Journal of Consumer Research, 30(2), 199-218.
Jiang, J., J., Klein, G., & Carr, C. (2002). Measuring information system service quality: SERVQUAL from the other side. MIS Quarterly, 26(2), 145-166.
Jöreskog, K., & Goldberger, A. S. (1975). Estimation of a Model with Multiple Indicators and Multiple Causes of a Single Latent Variable. Journal of the American Statistical Association, 70, 631-639.
Joshi, K. (1990). An investigation of equity as a determinant of user information satisfaction. Decision Sciences, 21(4), 786-807
Karimi, J., Somers, M., & Gupta, P. (2004). Impact of Environmental Uncertainty and Task Characteristics on User Satis-faction with Data. Information Systems Research, 15(2), 175-193.
Kettinger, W., & Lee, C. (1994). Perceived Service Quality and User Satisfaction with the Information Services Function. Decision Sciences, 25(5/6), 737-766.
Khalifa, M., & Liu, V. (2004). The State of Research on Information System Satisfaction. Journal of Information Tech-nology Theory and Application, 5(4).
Klenke, K. (1992). Construct measurement in management information systems: A review and critique of user satisfaction and user involvement instruments. Information & Management, 30(4), 325-348.
Kositanurit, B., Ngwenyama, O., & Osei-Bryson, K.-M. (2006). An exploration of factors that impact individual perfor-mance in an ERP environment: an analysis using multiple analytical techniques. European Journal of Information Sys-tems, 15, 556–568.
Lewis, B. R., Templeton, G. F., & Byrd, T. A. (2005). A methodology for construct development in MIS research. Europe-an Journal of Information Systems, 14(4), 388-400.
MacCallum, R. C., & Browne, M. W. (1993). The use of causal indicators in covariance structure models: Some practical issues. Psychological Bulletin, 114, 533-541.
MacKenzie, S. B., Podsakoff, P. M., & Podsakoff, N. P. (2011). Construct measurement and validation procedures in MIS and behavioral research: Integrating new and existing techniques. MIS Quarterly, 35(2), 293-334.
Melone, A. (1990). Theoretical assessment of the user-satisfaction construct in information systems research. Manage-ment Science, 36(1), 76-91.
Moore, G. C., & Benbasat, I. (1991). Development of an Instrument to Measure the Perceptions of Adopting an Infor-mation Technology Innovation. Information Systems Research, 2(3), 192-222.
Munkvold, R. (2003). End User Support Usage. In S. Gordon (Ed.), Computing information technology: the human side. Hershey PA: IRM Press.
Myers, B. L., Kappelman, L. A., & Prybutok, V. R. (1998). A comprehensive model for assessing the quality and produc-tivity of the information systems function: toward a theory for information systems assessment. In E. J. Garrity & G. L. Sanders (Eds.), Information Systems Success Measurement (pp. 94 - 121). Hershey: PA IGI Publishing.
Palvia, P. C. (1996). A model and instrument for measuring small business user satisfaction with information technology. Information & Management, 31(3), 151-163.
Nunnally, C., & Bernstein, H. (1994). Psychometric Theory (3rd ed.). McGrawHill.
Nunnally, J. (1978). Psychometric Theory. New York: McGraw-Hill.
Oliver, R. (1997). Satisfaction: A Behavioral Perspective on the Consumer. New York: McGraw Hill.
Oliver, R., & Swan, J. (1989). Consumer perceptions of interpersonal equity and satisfaction in transactions: a field survey approach. Journal of Marketing, 53, 21-35.
Parasuraman, A., Berry, L., & Zeithaml, V. (1991). Refinement and Reassessment of Service Quality. Journal of Retail-ing, 64(1), 12-40
Parasuraman, A., Zeithaml, V. A., & Berry, L. (1993). More on Improving the Measurement of Service Quality. Journal of Retailing, 69(1), 140-147.
Petter, S., DeLone, W., & McLean, E. (2008). Measring information systems success: Models, dimensions, measures, and interrelationships. European Journal of Information Systems, 17, 236-263
Petter, S., Straub, D., & Rai, A. (2007). Specifying Formative Constructs in Information systems research. MIS Quarterly, 31(4), 623-656.
Pitt, F., Watson, R., & Kavan, C. (1997). Measuring Information Service Quality: Concerns for a Complete Canvas. MIS Quarterly, 21(2), 209-222.
Polites, G. L., Roberts, N., & Thatcher, J. (2011). Conceptualizing models using multidimensional constructs: a review and guidelines for their use. European Journal of Information Systems, 20(1), 1-27.
Rabaa’i, A. A. (2010). Cultural influences on IS service quality perceptions. In 21st Australasian Conference on Infor-mation Systems: Defining and Establishing a High Impact Discipline (ACIS).
Rabaa’i, A. A. (2012). Evaluating the success of large-scale, integrated information systems through the lens of IS-impact and IS-support. [PhD thesis]. Queensland University of Technology
Rabaa'i, A. A. (2015a). An Empirical Investigation on the Adoption of e-Government in Developing Countries: The Case of Jordan. Computer and Information Science, 8(3), 83. https://doi.org/10.5539/cis.v8n3p83
Rabaa’i, A. A. (2015b). Conceptualising IS-service quality as a multi-dimensional formative construct: an empirical anal-ysis. International Journal of Information Systems and Management, 1(3), 240–263.
Rabaa’i, A. A. (2016). Extending the technology acceptance model (TAM) to assess students’ behavioural intentions to adopt an e-learning system: The case of moodle as a learning tool. Journal of Emerging Trends in Engineering and Applied Sciences, 7(1), 13–30.
Rabaa’i, A. A. (2017a). Holistic Procedures for Contemporary Formative Construct Validation Using PLS: A Comprehen-sive Example. International Journal of Business Information Systems, 25(3), 279–318. https://doi.org/10.1504/IJBIS.2017.084436
Rabaa’i, A. A. (2017b). The use of UTAUT to investigate the adoption of e-government in Jordan: A cultural perspective. International Journal of Business Information Systems, 24(3), 285–315. https://doi.org/10.1504/IJBIS.2017.082037
Rabaa’i, A. A. (2022). What’s for Dinner? Factors Contributing to the Continuous Usage of Food Delivery Apps (FDAs). Asia Pacific Journal of Information Systems.
Rabaa’i, A. A. (in press a). An Investigation into the acceptance of mobile wallets in the FinTech era: an empirical study from Kuwait. International Journal of Business Information Systems. DOI: 10.1504/IJBIS.2021.10038422
Rabaa’i, A. A. (in press b). Factors affecting the adoption of mobile grocery delivery applications. International Journal of Business Information Systems. DOI: 10.1504/IJBIS.2021.10045250
Rabaa’i, A. A. and Gammack, J. G. (2014). Effect of culture on perceptions of IS service quality. International Journal of Intercultural Information Management, 4(1), 15–33.
Rabaa’i, A. A., & Abu ALMaati, S. (2021). Exploring the Determinants of Users’ Continuance Intention to Use Mobile Banking Services in Kuwait: Extending the Expectation-Confirmation Model. Asia Pacific Journal of Information Sys-tems, 3, 141–184. https://doi.org/10.14329/apjis.2021.31.2.141
Rabaa’i, A. A., & Gable, G. (2012). IS service quality as a multi-dimensional formative construct. In 16th Pacific Asia Conference on Information Systems
Rabaa’i, A. A., & Zhu, X. (2021). Understanding the Determinants of Wearable Payment Adoption: An Empirical Study. Interdisciplinary Journal of Information, Knowledge, and Management, 16, 173–211. https://doi.org/10.28945/4746
Rabaa’i, A. A., Al-lozi, E., Hammouri, Q., Bany Muhammad, N., Alsmadi, A. and Al-Gasawneh, J. (2022). Continuance Intention to Use Smartwatches: An Empirical Study. International Journal of Data and Network Science. DOI: 10.5267/j.ijdns.2022.4.012
Rabaa’i, A. A., ALmaati, S. A., & Zhu, X. (2021). Students’ Continuance Intention to Use Moodle: An Expectation-Confirmation Model Approach. Interdisciplinary Journal of Information, Knowledge, and Management, 16, 397–434. https://doi.org/10.28945/4842
Rabaa’i, A. A., Bhat, H., & Abu Al Maati, S. (2018). Theorising social networks addiction: An empirical investigation. In-ternational Journal of Social Media and Interactive Learning Environments, 6(1), 1. https://doi.org/10.1504/IJSMILE.2018.10013518
Rabaa’i, A. A., Gable, G. G., Bandara, W., & Fielt, E. (2010). Re-conceptualising IS function's support performance: a preliminary model. In 14th Pacific Asia Conference on Information Systems (PACIS, 9-12 July)
Rabaa’i, A. A., Tate, M., & Gable, G. (2015). Can’t See the Trees for the Forest? Why IS-ServQual Items Matter. Asia Pa-cific Journal of Information Systems, 25(2), 211-238.
Rabaai, A. A., Zogheib, B., AlShatti, A., & AlJamal, E. M. (2015). Adoption of E-Government in Developing Countries: The Case of the State of Kuwait. Journal of Global Research in Computer Science, 6(10), 6–21.
Reinartz, W., Krafft, M., & Hoyer, W. D. (2004). The customer relationship management process: Its measurement and impact on performance. Journal of Marketing Research, 41(3), 293-305.
Ringle, C., Sarstedt, M., & Straub, D. (2012). Editor's Comments: A Critical Look at the Use of PLS-SEM in MIS Quarter-ly. MIS Quarterly, 36(1), 3-14.
Ringle, C., Wende, S., & Becker, J. (2015). SmartPLS 3. Boenningstedt: SmartPLS GmbH. http://www.smartpls.com
Rockart, F., & Flannery, S. (1983). The management of end user computing. Communications of the ACM, 26(10), 776-784.
Ross, P. K. (2011). How to keep your head above the clouds: Changing ICT worker skill sets in a cloud computing envi-ronment. Employment Relations Record, 11(1), 62-74.
Saunders, C. S., & Jones, J. W. (1992). Measuring Performance of the Information Systems Function. Journal of Man-agement Information Systems, 8(4), 63-82.
Seddon, P. B., Calvert, C., & Yang, S. (2010). A multi-project model of key factors affecting organizational benefits from enterprise systems. MIS Quarterly, 34(2), 305-328.
Shaw, N., DeLone, W., & Niederman, F. (2002). Sources of dissatisfaction in End User Support: An Empirical Study. The DATA BASE for Advances in Information Systems, 33(2), 41-56.
Shaw, N., Lee-Partidge, J., & Ang, J. (2003). Understanding the hidden dissatisfaction of users toward end-user compu-ting. Journal of End User Computing, 15(2), 1-22.
Shin, B. (2003). An Exploratory Investigation of System Success Factors in Data Warehousing. Journal of the Association for Information Systems, 4, 141-170.
Sivo, S. A., Saunders, C., Chang, Q., & Jiang, J. (2006). How Low Should You Go? Low Response Rate and the Validity of Inference in IS Questionnaire Research. Journal of the Association for Information Systems, 7(6), 351-414.
Spreng, R., MacKenzie, S., & Olshavsky, R. (1996). A Reexamination of the Determinants of Consumer Satisfaction. Journal of Marketing Research, 60(3), 15-32.
Stevens, J. P. (2001). Applied Multivariate Statistics for the Social Sciences (4 ed.). Hillsdale, New Jersey: Lawrence Erl-baum Associates.
Straub, D. W. (1989). Validating instruments in MIS research. MIS Quarterly, 13(2), 147-169.
Tate, M., & Evermann, J. (2010). The End of ServQual in Online Services Research: Where to from here? e-Service Jour-nal, 7(1), 60-85.
Urbach, N., & Ahlemann, F. (2010). Structural Equation Modeling in Information Systems Research Using Partial Least Squares. Journal of Information Technology Theory and Application, 11(2), 5-40.
Van Dyke, T. P., Kappelman, L. A., & Prybutok, V. R. (1997). Measuring Information Systems Service Quality: Concerns on the Use of the SERVQUAL Questionnaire. MIS Quarterly, 21(2), 195-208.
VanDyke, T., Prybutok, V., & Kappelman, L. (1999). Cautions on the use of the SERVQUAL measure to assess the quality of information systems services. Decision Sciences, 30(30), 877-891.
Velsen, L. S. V., Steehouder, M. F., & Jong, M. D. T. D. (2007). Evaluation of User Support: Factors That Affect User Sat-isfaction with Helpdesks and Helplines. IEEE Transactions on Professional Communication, 50(3), 219-231.
Vlachos, P. A., & Theotokis, A. (2009). Electronic Service Quality in Mobile Music Services: Comparing Different Sec-ond-Order Measurement Specification. In A. Poulymenakou, N. Pouloudi & K. Pramatari (Eds.), 4th Mediterranean Conference on Information Systems. Athens, Greece.
Watson, R., Pitt, L., & Kavan, B. (1998). Measuring Information Systems Service Quality: Lessons from Two Longitudi-nal Case Studies. MIS Quarterly, 22(1), 61-79.
Werts, C. E., Linn, R. L., & Jöreskog, K. G. (1974). Intraclass reliability estimates: Testing structural assumptions. Educa-tional and Psychological Measurement, 34(1), 25-33.
Wetzels, M., Odekerken-Schröder, G., & van Oppen, C. (2009). Using PLS path modeling for assessing hierarchical con-struct models: guidelines and empirical illustration. MIS Quarterly, 33(1), 177-195.
Wixom, B. H., & Todd, P. A. (2005). A Theoretical Integration of User Satisfaction and Technology Acceptance. Infor-mation Systems Research, 16(1), 85-102.
Yoo, Y., & Alavi, M. (2001). Media and Group Cohesion: Relative Influences on Social Presence, Task Participation, and Group Consensus. MIS Quarterly, 25(3), 371-390.
Zmud, W. (1984). Design alternatives for organizing information systems activities. MIS Quarterly, 8(2), 79-93.
Zogheib, B., Rabaa’i, A., Zogheib, S., & Elsaheli, A. (2015). University Student Perceptions of Technology Use in Math-ematics Learning. Journal of Information Technology Education: Research, 14, 417–438. https://doi.org/10.28945/2315
Zviran, M., & Erlich, Z. (2003). Measuring IS User Satisfaction: Review and Implications. Communications of the Associ-ation for Information Systems, 12(1), 81-103.