Axiomatic Theories and Improving the Relevance of Information Systems Research

Published Online:https://doi.org/10.1287/isre.2020.0958

References

  • Agarwal R , Karahanna E (2000) Time flies when you’re having fun: Cognitive absorption and beliefs about information technology usage. Management Inform. Systems Quart. 24(4):665–694.CrossrefGoogle Scholar
  • Agarwal R , Prasad J (1998) A conceptual and operational definition of personal innovativeness in the domain of information technology. Inform. Systems Res. 9(2):204–215.Google Scholar
  • Ahuja MK , Thatcher JB (2005) Moving beyond intentions and toward the theory of trying: Effects of work environment and gender on post-adoption information technology use. Management Inform. Systems Quart. 29(3):427–459.CrossrefGoogle Scholar
  • American Educational Research Association (2006) Standards for reporting on empirical social science research in AERA publications. Edu. Res. 35(6):33–40.CrossrefGoogle Scholar
  • American Psychological Association (2010) Publication Manual of the American Psychological Association (American Psychological Association, Washington, DC).Google Scholar
  • Amoako-Gyampah K , Salam AF (2004) An extension of the technology acceptance model in an ERP implementation environment. Inform. Management 41(6):731–745.CrossrefGoogle Scholar
  • Ang S , Straub D (1998) Production and transaction economies and IS outsourcing: A study of the U.S. banking industry. Management Inform. Systems Quart. 22(4):535–552.CrossrefGoogle Scholar
  • Angst CM , Wowak KD , Handley SM , Kelley K (2017) Antecedents of information systems sourcing strategies in U.S. hospitals: A longitudinal study. MIS Quart. 41(4):1129–1152.Google Scholar
  • Arnold V , Clark N , Collier PA , Leech SA , Sutton SG (2006) The differential use and effect of knowledge-base system explanations in novice and expert judgment systems. Management Inform. Systems Quart. 30(1):79–97.CrossrefGoogle Scholar
  • Bacharach SB (1989) Organizational theories: Some criteria for evaluation. Acad. Management Rev. 14(4):496–515.Google Scholar
  • Bandodkar N (2015) Valuable or stagnating? An essay on axiomatic theories in IS Research. 21st Americas Conf. Inform. Systems, Puerto Rico, 1–9.Google Scholar
  • Bassellier G , Benbasat I , Reich BH (2003) The influence of business managers’ IT competence on championing IT. Inform. Systems Res. 14(4):317–336.LinkGoogle Scholar
  • Beatty RC , Shim JP , Jones MC (2001) Factors influencing corporate web site adoption: A time-based assessment. Information & Management 38(6):337–354.Google Scholar
  • Becker JM , Rai A , Ringle CM , Völckner F (2013) Discovering unobserved heterogeneity in structural equation models to avert validity threats. Management Inform. Systems Quart. 37(3):665–694.CrossrefGoogle Scholar
  • Benbasat I , Zmud RW (1999) Empirical research in information systems: The practice of relevance. Management Inform. Systems Quart. 23(1):3–16.CrossrefGoogle Scholar
  • Bharadwaj AS (2000) A resource-based perspective on information technology capability and firm performance: An empirical investigation. Management Inform. Systems Quart. 24(1):169–196.CrossrefGoogle Scholar
  • Bhattacherjee A (2001) Understanding information systems continuance: An expectation-confirmation model. Management Inform. Systems Quart. 25(3):351–370.CrossrefGoogle Scholar
  • Bhattacherjee A , Premkumar G (2004) Understanding changes in belief and attitude toward information technology usage: A theoretical model and longitudinal test. Management Inform. Systems Quart. 28(2):229–254.CrossrefGoogle Scholar
  • Bichler M , Frank U , Avison D , Malaurent J , Fettke PD , Kramer J , Schnurr D , Muller B , Suhl L , Thalheim B (2016) Theories in business and information systems engineering. Bus. Inform. Systems Res . 58(4):291–319.CrossrefGoogle Scholar
  • Bock GW , Zmud RW , Kim YG , Lee JN (2005) Behavioral intention formation in knowledge sharing: Examining the roles of extrinsic motivators, social-psychological forces, and organizational climate. Management Inform. Systems Quart. 29(1):87–111.CrossrefGoogle Scholar
  • Brancheau JC , Wetherbe JC (1990) The adoption of spreadsheet software: Testing innovation diffusion theory in the context of end-user computing. Inform. Systems Res. 1(2):115–143.Google Scholar
  • Bright Internet Global Summit (2018) Bright Internet Global Summit, December 12–13, 2018, San Francisco. www.brightinternet.org.Google Scholar
  • Brown SA , Venkatesh V (2005) Model of adoption of technology in households: A baseline model test and extension incorporating household life cycle. Management Inform. Systems Quart. 29(3):399–425.CrossrefGoogle Scholar
  • BusinessWeek (1990) Is research in the ivory tower fuzzy, irrelevant, pretentious? (October 29), 62–66.Google Scholar
  • Cannon AR , Woszczynski AB (2002) Crises and revolutions in information technology: Lessons learned from Y2K. Indust. Management Data Systems 102(6):318–324.Google Scholar
  • Chan S , Lu M (2004) Understanding internet banking adoption and use behavior: A Hong Kong perspective. J. Global Inform. Management 12(3):21–43.CrossrefGoogle Scholar
  • Chatterjee D , Grewal R , Sambamurthy V (2002) Shaping up for e-commerce: Institutional enablers of the organizational assimilation of web technologies. Management Inform. Systems Quart. 26(2):65–89.Google Scholar
  • Chau PYK , Tam KY (1997) Factors affecting the adoption of open systems: An exploratory study. Management Inform. Systems Quart. 21(1):1–24.CrossrefGoogle Scholar
  • Chen L , Gillenson ML , Sherrell DL (2002) Enticing online consumers: An extended technology acceptance perspective. Inform. Management 39(8):705–719.Google Scholar
  • Chidambaram L (1996) Relational development in computer-supported groups. Management Inform. Systems Quart. 20(2):143–165.CrossrefGoogle Scholar
  • Choudhury V , Sampler J (1997) Information specificity and environmental scanning: An economic perspective. Management Inform. Systems Quart. 21(1):25–53.CrossrefGoogle Scholar
  • Colquitt J , Zapata-Phelan C (2007) Trends in theory building and theory testing: A five-decade study of the Academy of Management Journal . Acad. Management J. 50(6):1281–1303.CrossrefGoogle Scholar
  • Compeau DR , Higgins CA (1995) Computer self-efficacy: Development of a measure and initial test. Management Inform. Systems Quart. 19(2):189–211.CrossrefGoogle Scholar
  • Compeau DR , Higgins CA , Huff S (1999) Social cognitive theory and individual reactions to computing technology: A longitudinal study. Management Inform. Systems Quart. 23(2):145–158.CrossrefGoogle Scholar
  • Cooper RB , Zmud RW (1990) Information technology implementation research: a technological diffusion approach. Management Science 36(2):123–139.Google Scholar
  • Crum MR , Premkumar G , Ramamurthy K (1996) An assessment of motor carrier adoption, use, and satisfaction with EDI. Transportation J. 35(4):44–57.Google Scholar
  • Daft RL , Lengel RH , Trevino LK (1987) Message equivocality, media selection, and manager performance: Implications for information systems. Management Inform. Systems Quart. 11(3):355–366.CrossrefGoogle Scholar
  • Darke P , Shanks G , Broadbent M (1998) Successfully completing case study research: Combining rigor, relevance and pragmatism. Inform. Systems J. 8(4):273–289.CrossrefGoogle Scholar
  • Davis FD (1989) Perceived usefulness, perceived ease of use, and user acceptance of information technology. Management Inform. Systems Quart. 13(3):318–340.CrossrefGoogle Scholar
  • DeLone WH , McLean ER (1992) Information systems success: The quest for the dependent variable. Inform. Systems Res. 3(1):60–96.LinkGoogle Scholar
  • Dennis AR , Fuller RM , Valacich JS (2008) Media, tasks, and communication processes: A theory of media synchronicity. Management Inform. Systems Quart. 32(3):575–600.CrossrefGoogle Scholar
  • Devaraj S , Easley RF , Crant JM (2008) How does personality matter? Relating the five-factor model to technology acceptance and use. Inform. Systems Res. 19(1):93–105.Google Scholar
  • Dibbern J , Chin WW , Heinzl A (2012) Systematic determinants of the information systems outsourcing decision: A comparative study and United States firms. J. Assoc. Inform. System 13(6):466–497.Google Scholar
  • DiMaggio PJ , Powell WW (1983) The iron cage revisited: Institutional isomorphism and collective rationality in organizational fields. Amer. Sociol. Rev. 48(2):147–160.CrossrefGoogle Scholar
  • Dimoka A , Hong Y , Pavlou PA (2012) On product uncertainty in online markets: Theory and evidence. Management Inform. Systems Quart. 36(2):395–426.CrossrefGoogle Scholar
  • Dubin R (1978) Theory Building , rev. ed. (Free Press, London).Google Scholar
  • Eastin MS (2002) Diffusion of e-commerce: An analysis of the adoption of four e-commerce activities. Telematics Informatics 19(3):251–267.Google Scholar
  • Eder LB , Igbaria M (2001) Determinants of intranet diffusion and infusion. Omega 29(3):233–242.Google Scholar
  • Elwood S , Changchit C , Cutshall R (2006) Investigating students’ perceptions on laptop initiative in higher education: An extension of the technology acceptance model. Campus-Wide Inform. Systems 23(5):336–349.CrossrefGoogle Scholar
  • Enns HG , Huff SL , Higgins CA (2003) CIO lateral influence behaviors: Gaining peers’ commitment to strategic information systems. Management Inform. Systems Quart. 27(1):155–176.CrossrefGoogle Scholar
  • Favaretto JER , Meirelles FS (2015) Nolan’s stage level measurement of information and communication technology in modern organizations. 46th Annual Southwest Decision Sci. Inst. Conf., Houston, Texas, 410–418.Google Scholar
  • Fichman RG (2001) The role of aggregation in the measurement of IT-related organizational innovation. MIS Quart. 25(4):427–455.Google Scholar
  • Fichman RG , Kemerer CF (1997) The assimilation of software process innovations: An organizational learning perspective. Management Sci. 43(10):1345–1363.Google Scholar
  • Forman C (2005) The corporate digital divide: Determinants of Internet adoption. Management Sci. 51(4):641–654.Google Scholar
  • Furneaux B , Wade M (2017) Impediments to information systems replacement: A calculus of discontinuance. J. Management Inform. Systems 34(3):902–932.Google Scholar
  • Gates B , Gates M (2019) Grand challenges: Solving global health and development problems for those most in need. Accessed December 25, 2019, http://www.grandchallenges.org/Pages/Default.aspx.Google Scholar
  • Gattiker TF , Goodhue DL (2005) What happens after ERP implementation: Understanding the impact of interdependence and differentiation on plant-level outcomes. Management Inform. Systems Quart. 29(3):559–585.Google Scholar
  • Gefen D , Straub DW (1997) Gender differences in the perception and use of e-mail: An extension to the technology acceptance model. Management Inform. Systems Quart. 21(4):389–400.Google Scholar
  • Gefen D , Straub DW (2000) The relative importance of perceived ease of use in IS adoption: A study of e-commerce adoption. J. Assoc. Inform. Systems 1(8):1–28.CrossrefGoogle Scholar
  • Gefen D , Karahanna E , Straub DW (2003) Trust and TAM in online shopping: An integrated model. Management Inform. Systems Quart. 27(1):51–90.CrossrefGoogle Scholar
  • Gentry L , Calantone R (2002) A comparison of three models to explain shop-bot use on the web. Psych. Marketing 19(11):945–955.CrossrefGoogle Scholar
  • Gibbs JL , Kraemer KL (2004) A cross-country investigation of the determinants of scope of e-commerce use: An institutional approach. Electronic Markets 14(2):124–137.Google Scholar
  • Gong M , Xu Y , Yu Y (2004) An enhanced technology acceptance model for web-based learning. J. Inform. Systems Edu. 15(4):365–374.Google Scholar
  • Goodhue DL , Thompson RL (1995) Task-technology fit and individual performance. Management Inform. Systems Quart. 19(2):213–236.CrossrefGoogle Scholar
  • Gregor S , Hevner AR (2013) Positioning and presenting design science research for maximum impact. Management Inform. Systems Quart. 37(2):337–355.CrossrefGoogle Scholar
  • Griffith TL , Fuller MA , Northcraft GB (1998) Facilitator influence in group support systems intended and unintended effects. Inform. Systems Res. 9(1):20–36.LinkGoogle Scholar
  • Griffith TL , Sawyer JE , Neale MA (2003) Virtualness and knowledge in teams: Managing the love triangle of organizations, individuals, and information technology. Management Inform. Systems Quart. 27(2):265–287.CrossrefGoogle Scholar
  • Grover V , Goslar MD (1993) The initiation, adoption, and implementation of telecommunications technologies in US organizations. J. Management Inform. Systems 10(1):141–163.Google Scholar
  • Grover V , Lyytinen K (2015) New state of play in information systems research: The push to the edges. Management Inform. Systems Quart. 39(2):271–296.CrossrefGoogle Scholar
  • Hardgrave BC , Davis FD , Riemenschneider CK (2003) Investigating determinants of software developers' intentions to follow methodologies. J. Management Inform. Systems 20(1):123–152.Google Scholar
  • Hevner AR , March ST , Park J , Ram S (2004) Design science in information systems research. Management Inform. Systems Quart. 28(1):75–105.CrossrefGoogle Scholar
  • Hilbert D (1901) Mathematical problems. Bull. Amer. Math. Soc. 8:437–479.Google Scholar
  • Hong W , Thong JYL , Tam KY (2004) Does animation attract online users’ attention? The effects of flash on information search performance and perceptions. Inform. Systems Res. 15(1):60–86.Google Scholar
  • Hsu CL , Lin JC (2008) Acceptance of blog usage: The roles of technology acceptance, social influence and knowledge sharing motivation. Inform. Management 45(1):65–74.CrossrefGoogle Scholar
  • Hsu CL , Lu HP (2004) Why do people play on-line games? An extended TAM with social influences and flow experience. Inform. Management 41(7):853–868.CrossrefGoogle Scholar
  • Hsu CL , Lu HP , Hsu HH (2007) Adoption of the mobile Internet: An empirical study of multimedia message service (MMS). Omega 35(6):715–726.Google Scholar
  • Hu PJH , Hu H , Wei CP , Hsu PF (2016) Examining firms' green information technology practices: A hierarchical view of key drivers and their effects. J. Management Inform. Systems 33(4):1149–1179.Google Scholar
  • Hung SY , Ku CY , Chang CM (2003) Critical factors of WAP services adoption: An empirical study. Electronic Commerce Res. Appl. 2(1):42–60.Google Scholar
  • Iacovou CL , Benbasat I , Dexter AS (1995) Electronic data interchange and small organizations: Adoption and impact of technology. Management Inform. Systems Quart. 19(4):465–485.Google Scholar
  • Igbaria M , Guimaraes T , Davis GB (1995) Testing the determinants of microcomputer usage via a structural equation model. J. Management Inform. Systems 11(4):87–114.CrossrefGoogle Scholar
  • Igbaria M , Zinatelli N , Cragg P , Cavaye ALM (1997) Personal computing acceptance factors in small firms: A structural equation model. Management Inform. Systems Quart. 21(3):279–305.CrossrefGoogle Scholar
  • Jarvenpaa SL , Shaw TR , Staples DS (2004) Toward contextualized theories of trust: The role of trust in global virtual teams. Inform. Systems Res. 15(3):250–267.LinkGoogle Scholar
  • Johnston AC , Warkentin M (2010) Fear appeals and information security behaviors: An empirical study. Management Inform. Systems Quart. 34(1):549–566.CrossrefGoogle Scholar
  • Jun ES , Lee JK (2001) Quasi-optimal case-selective neural network model for software effort estimation. Expert Systems Appl. 21(1):1–14.CrossrefGoogle Scholar
  • Kankanhalli A , Tan BCY , Wei KK (2005) Contributing knowledge to electronic knowledge repositories: An empirical investigation. Management Inform. Systems Quart. 29(1):1–42.CrossrefGoogle Scholar
  • Karahanna E , Straub D , Chervany NL (1999) Information technology adoption across time: A cross-sectional comparison of pre-adoption and post-adoption beliefs. Management Inform. Systems Quart. 23(2):183–213.CrossrefGoogle Scholar
  • Karimi J , Somers TM , Gupta YP (2004) Impact of environmental uncertainty and task characteristics on user satisfaction with data. Inform. Systems Res. 15(2):175–193.LinkGoogle Scholar
  • Keil M , Tan BCY , Wei KK , Saarinen T , Tuunainen V , Wassenaar A (2000) A cross-cultural study on escalation of commitment behavior in software projects. Management Inform. Systems Quart. 24(2):299–325.CrossrefGoogle Scholar
  • Kettinger WJ , Lee CC (2005) Zones of tolerance alternative scales for measuring information systems service quality. Management Inform. Systems Quart. 29(4):607–623.CrossrefGoogle Scholar
  • Kim KK , Michelman JE (1990) An examination of factors for the strategic use of information systems in the health care industry. Management Inform. Systems Quart. 14(2):201–215.CrossrefGoogle Scholar
  • Kim SS , Malhotra NK , Narasimhan S (2005) Two competing perspectives on automatic use: A theoretical and empirical comparison. Inform. Systems Res. 16(4):418–432.LinkGoogle Scholar
  • Klopping IM , McKinney E (2004) Extending the technology acceptance model and the task-technology fit model to consumer e-commerce. Inform. Tech. Learn. Performance J. 22(1):35–48.Google Scholar
  • Ko DG , Kirsch LJ , King WR (2005) Antecedents of knowledge transfer from consultants to clients in enterprise system implementations. Management Inform. Systems Quart. 29(1):59–85.CrossrefGoogle Scholar
  • Koh C , Ang S , Straub DW (2004) IT outsourcing success: A psychological contract perspective. Inform. Systems Res. 15(4):356–373.LinkGoogle Scholar
  • Lai VS (1997) Critical factors of ISDN implementation: An exploratory study. Inform. Management 33(2):87–97.Google Scholar
  • Lai VS , Lai F , Lowry PB (2016) Technology evaluation and imitation: Do they have differential or dichotomous effects on ERP adoption and assimilation in China? J. Management Inform. Systems 33(4):1209–1251.Google Scholar
  • Laudon KC (1985) Environmental and institutional models of system development: A national criminal history system. Comm. ACM 28(7):728–740.Google Scholar
  • Lee AS , Mohajeri K (2012) Linking relevance to practical significance. Sprague Jr RH, ed. Proc. 45th Hawaii Internat. Conf. System Sci. (IEEE, Piscataway, NJ), 5234–5240.Google Scholar
  • Lee JK (2015) Research framework for AIS grand vision of the Bright ICT Initiative. MIS Quart. 39(2):iii–xii.Google Scholar
  • Lee JK (2016) Invited commentary—Reflections on ICT-enabled Bright Society Research. Inform. Systems Res. 27(1):1–5.LinkGoogle Scholar
  • Lee JK (2019) Technical report of Bright Internet 1.0 test bed. Working paper, Xi'an Jiaotong University, Xi'an, China.Google Scholar
  • Lee JK , Cho DG , Lim GG (2018) Design and validation of the Bright Internet. J. Assoc. Inform. Systems 19(2):63–85.Google Scholar
  • Lee MK (1998) Internet-based financial EDI: Towards a theory of its organizational adoption. Comput. Networks ISDN Systems 30(16–18):1579–1588.Google Scholar
  • Leidner DE (2018) Review and theory symbiosis: An introspective retrospective. J. Assoc. Inform. Systems 19(6):552–567.Google Scholar
  • Leidner DE , Kayworth T (2006) Review: A review of culture in information systems research: Toward a theory of information technology conflict. Management Inform. Systems Quart. 30(2):357–399.CrossrefGoogle Scholar
  • Lewis W , Agarwal R , Sambamurthy V (2003) Sources of influence on beliefs about information technology use: An empirical study of knowledge workers. Management Inform. Systems Quart. 27(4):657–678.CrossrefGoogle Scholar
  • Li SCS (2003) Electronic newspaper and its adopters: Examining the factors influencing the adoption of electronic newspapers in Taiwan. Telematics Informatics 20(1):35–49.Google Scholar
  • Liang H , Xue Y (2009) Avoidance of information technology threats: A theoretical perspective. Management Inform. Systems Quart. 33(1):71–90.CrossrefGoogle Scholar
  • Liang H , Saraf N , Hu Q (2007) Assimilation of enterprise systems: The effect of institutional pressures and the mediating role of top management. Management Inform. Systems Quart. 31(1):59–87.CrossrefGoogle Scholar
  • Liao S , Shao YP , Wang H , Chen A (1999) The adoption of virtual banking: An empirical study. Internat. J. Inform. Management 19(1):6–74.Google Scholar
  • Lilien GL , Rangaswamy A , Van Bruggen GH , Starke K (2004) DSS effectiveness in marketing resource allocation decisions: Reality vs. perception. Inform. Systems Res. 15(3):216–235.LinkGoogle Scholar
  • Lim KH , Benbast I , Ward LM (2000) The role of multimedia in changing first impression bias. Inform. Systems Res. 11(2):115–136.LinkGoogle Scholar
  • Limayem M , Niederman F , Slaughter S , Chen H , Gregor S , Winter S (2011) Senior scholars’ forum. Cynthia B, Myers MD, Wei KK, eds. Proc. 32nd Internat. Conf. Inform. Systems, (Association for Information Systems, Shanghai, China), 1–5.Google Scholar
  • Lowry PB , Zhang J , Wang C , Siponen M (2016) Why do adults engage in cyberbullying on social media? An integration of online disinhibition and deindividuation effects with the social structure and social learning model. Inform. Systems Res. 27(4):962–986.LinkGoogle Scholar
  • Lu J , Yu CS , Liu C , Yao JE (2003) Technology acceptance model for wireless internet. Internet Res. 13(3):206–222.CrossrefGoogle Scholar
  • Luce RD , Tukey JW (1964) Simultaneous conjoint measurement: A new type of fundamental measurement. J. Math. Psych. 1(1):1–27.CrossrefGoogle Scholar
  • Majchrzak A , Malhotra A , John R (2005a) Perceived individual collaboration know-how development through information technology-enabled contextualization: Evidence from distributed teams. Inform. Systems Res. 16(1):9–27.LinkGoogle Scholar
  • Majchrzak A , Beath CM , Lim RA , Chin WW (2005b) Managing client dialogues during information systems design to facilitate client learning. Management Inform. Systems Quart. 29(4):653–672.CrossrefGoogle Scholar
  • Majchrzak A , Rice RE , Malhotra A , King N , Ba S (2000) Technology adaptation: The case of a computer-supported inter-organizational virtual team. Management Inform. Systems Quart. 24(4):569–600.CrossrefGoogle Scholar
  • Malhotra A , Gosain S , El Sawy OA (2005) Absorptive capacity configurations in supply chains: Gearing for partner-enabled market knowledge creation. Management Inform. Systems Quart. 29(1):145–187.Google Scholar
  • Malhotra NK , Kim SS , Agarwal J (2004) Internet users’ information privacy concerns (IUIPC): The construct, the scale, and a causal model. Inform. Systems Res. 15(4):336–355.Google Scholar
  • Martins CB , Steilb AV , Todesco JL (2004) Factors influencing the adoption of the Internet as a teaching tool at foreign language schools. Comput. Ed. 42(4):353–374.Google Scholar
  • McCloskey D (2003) Evaluating electronic commerce acceptance with the technology acceptance model. J. Comput. Inform. Systems 44(2):49–57.Google Scholar
  • McKeen JD , Guimaraes T , Wetherbe JC (1994) The relationship between user participation and user satisfaction: An investigation of four contingency factors. Management Inform. Systems Quart. 18(4):427–445.CrossrefGoogle Scholar
  • Melville N , Kraemer K , Gurbaxani V (2004) Review: Information technology and organizational performance: An integrative model of IT business value. Management Inform. Systems Quart. 28(2):283–322.CrossrefGoogle Scholar
  • Meyer JW , Rowan B (1977) Institutionalized organizations: Formal structure as myth and ceremony. Amer. J. Sociol. 83(2):340–363.CrossrefGoogle Scholar
  • Mohajeri K , Leidner D (2017) Towards a typology of relevance. Bui T, ed. Proc. 50th Hawaii Internat. Conf. System Sci. (AIS Electronic Library, Atlanta), 5783–5792.Google Scholar
  • Mohajeri K , Mesgari M , Lee AS (2020) When statistical significance is not enough: Investigating relevance, practical significance and statistical significance. Management Inform. Systems Quart. 44(2):525–559.CrossrefGoogle Scholar
  • Moore G (1987) End user computing and office automation: A diffusion of innovations perspective. INFOR: Inform. Systems Oper. Res. 25(3):214–235.CrossrefGoogle Scholar
  • Ndubisi NO , Gupta OK , Ndubisi GC (2005) The moguls' model of computing: Integrating the moderating impact of users' persona into the technology acceptance model. J. Global Inform. Tech. Management 8(1): 27–47.Google Scholar
  • Nissen ME , Sengupta K (2006) Incorporating software agents into supply chains: Experimental investigation with a procurement task. Management Inform. Systems Quart. 30(1):145–166.CrossrefGoogle Scholar
  • Nonaka I (1991) The knowledge creating company. Harvard Bus. Rev. 69(6):96–104.Google Scholar
  • Park S , Yoon SH (2005) Separating early-adopters from the majority: The case of broadband internet access in Korea. Tech. Forecasting Soc. Change 72(3):301–325.Google Scholar
  • Parthasarathy M , Bhattacherjee A (1998) Understanding post-adoption behavior in the context of online services. Inform. Systems Res. 9(4):362–379.LinkGoogle Scholar
  • Pavlou PA , Gefen D (2004) Building effective online marketplaces with institution-based trust. Inform. Systems Res. 15(1):37–59.LinkGoogle Scholar
  • Pavlou PA , Gefen D (2005) Psychological contract violation in online marketplaces: Antecedents, consequences, and moderating role. Inform. Systems Res. 16(4):372–399.LinkGoogle Scholar
  • Pavlou PA , Liang H , Xue Y (2007) Understanding and mitigating uncertainty in online environments: A principal-agent perspective. Management Inform. Systems Quart. 31(1):105–136.CrossrefGoogle Scholar
  • Petter S , Straub D , Rai A (2007) Specifying formative constructs in information systems research. Management Inform. Systems Quart. 31(4):623–656.CrossrefGoogle Scholar
  • Pikkarainen T , Pikkarainen K , Karjaluoto H , Pahnila S (2004) Consumer acceptance of online banking: An extension of the technology acceptance model. Internet Res. 14(3):224–235.CrossrefGoogle Scholar
  • Plouffe CR , Hulland JS , Vandenbosch M (2001) Richness versus parsimony in modeling technology adoption decisions—understanding merchant adoption of a smart card-based payment system. Inform. Systems Res. 12(2):208–222.LinkGoogle Scholar
  • Potter RE , Balthazard P (2004) The role of individual memory and attention processes during electronic brainstorming. Management Inform. Systems Quart. 28(4):621–643.CrossrefGoogle Scholar
  • Premkumar G , Ramamurthy K , Crum M (1997) Determinants of EDI adoption in the transportation industry. Eur. J. Inform. Systems 6(2):107–121.CrossrefGoogle Scholar
  • Premkumar G , Ramamurthy K , Nilakanta S (1994) Implementation of electronic data interchange: An innovation diffusion perspective. J. Management Inform. Systems 11(2):157–186.CrossrefGoogle Scholar
  • Rai A , Patnayakuni R , Seth N (2006) Firm performance impacts of digitally enabled supply chain integration capabilities. Management Inform. Systems Quart. 30(2):225–246.CrossrefGoogle Scholar
  • Ramamurthy K , Premkumar G (1995) Determinants and outcomes of electronic data interchange diffusion. IEEE Trans. Engrg. Management 42(4):332–351.Google Scholar
  • Ray G , Muhanna WA , Barney JB (2005) Information technology and the performance of the customer service process: A resource-based analysis. Management Inform. Systems Quart. 29(4):625–652.CrossrefGoogle Scholar
  • Robey D , Markus ML (1998) Beyond rigor and relevance: Producing consumable research about information systems. Inform. Resource Management J. 11(1):7–15.CrossrefGoogle Scholar
  • Rogers EM (1995) Diffusion of Innovations , 4th ed. (Free Press, New York).Google Scholar
  • Rogers EM , Shoemaker FF (1971) Communication of lnnovations: A Cross-Cultural Approach , 2nd ed. (Free Press, New York).Google Scholar
  • Roseman M , Vessey I (2008) Toward improving the relevance of information systems research to practice: The role of applicability checks. Management Inform. Systems Quart. 32(1):1–22.CrossrefGoogle Scholar
  • Salaway G (1987) An organizational learning approach to information systems development. Management Inform. Systems Quart. 11(2):245–265.CrossrefGoogle Scholar
  • Sambamurthy V , Bharadwaj A , Grover V (2003) Shaping firm agility through digital options: Reconceptualizing the role of IT in contemporary firms. Management Inform. Systems Quart. 27(2):237–263.CrossrefGoogle Scholar
  • Seddon P (1997) A respecification and extension of the DeLone and McLean model of IS success. Inform. Systems Res. 8(3):240–253.LinkGoogle Scholar
  • Seyal AH , Rahman MNA (2003) A preliminary investigation of e-commerce adoption in small & medium enterprises in Brunei. J. Global Inform. Tech. Management 6(2):6–26.CrossrefGoogle Scholar
  • Sheeran P (2002) Intention-behavior relations: A conceptual and empirical review. Stroebe W , Hewstone M , eds. European Review of Social Psychology (Wiley, Chichester, UK), 1–36.Google Scholar
  • Shih H (2004) Extended technology acceptance model of internet utilization behavior. Inform. Management 41(6):719–729.CrossrefGoogle Scholar
  • Shin YY , Lee JK , Kim M (2018) Preventing state-led cyberattacks using the Bright Internet and internet peace principles. J. Assoc. Inform. Systems 19(3):152–181.Google Scholar
  • Siponen M , Baskerville R (2018) Intervention effect rates as a path to research relevance: Information systems security example. J. Assoc. Inform. Systems 19(4):247–265.Google Scholar
  • Sircar S , Turnbow JL , Bordoloi B (2000) A framework for assessing the relationship between information technology investments and firm performance. J. Management Inform. Systems 16(4):69–97.CrossrefGoogle Scholar
  • Son JY , Benbasat I (2007) Organizational buyers' adoption and use of B2B electronic marketplaces: Efficiency- and legitimacy-oriented perspectives. J. Management Inform. Systems 24(1):55–99.CrossrefGoogle Scholar
  • Spacey R , Goulding A , Murray I (2004) Exploring the attitudes of public library staff to the internet using the TAM. J. Documentation 60(5):550–564.CrossrefGoogle Scholar
  • Stanko MA (2016) Toward a theory of remixing in online innovation communities. Inform. Systems Res. 27(4):773–791.LinkGoogle Scholar
  • Straub D , Ang S (2011) Rigor and relevance in IS research: Redefining the debate and a call for future research. MIS Quart. 35(1):iii–xi.Google Scholar
  • Straub D , Welke RJ (1998) Coping with systems risk: Security planning models for management decision making. Management Inform. Systems Quart. 22(4):441–469.CrossrefGoogle Scholar
  • Subramani M (2004) How do suppliers benefit from information technology use in supply chain relationships. Management Inform. Systems Quart. 28(1):45–73.CrossrefGoogle Scholar
  • Suh NP (2001) Axiomatic Design: Advances and Applications (Oxford University Press, New York).Google Scholar
  • Sussman SW , Siegal WS (2003) Informational influence in organizations: An integrated approach to knowledge adoption. Inform. Systems Res. 14(1):47–65.LinkGoogle Scholar
  • Sutton SR (1998) Predicting and explaining intentions and behavior: How well are we doing? J. Appl. Soc. Psych. 28(15):1317–1338.CrossrefGoogle Scholar
  • Szajna B (1994) Software evaluation and choice: Predictive validation of the technology acceptance instrument. Management Inform. Systems Quart. 18(3):319–324.CrossrefGoogle Scholar
  • Tanriverdi H (2005) Information technology relatedness, knowledge management capability, and performance of multibusiness firms. MIS Quart. 29(2):311–334.Google Scholar
  • Te’eni D (2001) Review: A cognitive-affective model of organizational communication for designing IT. Management Inform. Systems Quart. 25(2):251–312.CrossrefGoogle Scholar
  • Teo HH , Wei KK , Benbasat I (2003) Predicting intention to adopt interorganizational linkages: An institutional perspective. MIS Quart. 27(1):19–49.Google Scholar
  • Trafimow D , Marks M (2015) Editorial. Basic Appl. Soc. Psych. 37(1):1–2.Google Scholar
  • Vance A , Lowry PB , Eggett D (2015) A new approach to the problem of access policy violations: Increasing perceptions of accountability through the user interface. Management Inform. Systems Quart. 39(2):345–366.CrossrefGoogle Scholar
  • van der Heijden H (2004) User acceptance of hedonic information systems. Management Inform. Systems Quart. 28(4):695–704.CrossrefGoogle Scholar
  • Venkatesh V , Bala H (2008) Technology acceptance model 3 and a research agenda on interventions. Decision Sci. 39(2):273–315.CrossrefGoogle Scholar
  • Venkatesh V , Morris MG (2000) Why don’t men ever stop to ask for directions? Gender, social influence, and their role in technology acceptance and usage behavior. Management Inform. Systems Quart. 24(1):115–139.CrossrefGoogle Scholar
  • Venkatesh V , Morris MG , Davis GB , Davis FD (2003) User acceptance of information technology: Toward a unified view. Management Inform. Systems Quart. 27(3):425–478.CrossrefGoogle Scholar
  • Vessey I , Galleta D (1991) Cognitive fit: An empirical study of information acquisition. Inform. Systems Res. 2(1):63–84.LinkGoogle Scholar
  • Vijayasarathy LR (2004) Predicting consumer intentions to use on-line shopping: The case for an augmented technology acceptance model. Inform. Management 41(6):747–762.CrossrefGoogle Scholar
  • Wang C , Hsu Y , Fang W (2004) Acceptance of technology with network externalities: An empirical study of internet instant messaging services. J. Inform. Tech. Theory Appl. 6(4):15–28.Google Scholar
  • Wang S , Cheung W (2004) E-business adoption by travel agencies: Prime candidates for mobile e-business. Internat. J. Electronic Commerce 8(3):43–63.CrossrefGoogle Scholar
  • Wang Y , Wang Y , Lin H , Tang T (2003) Determinants of user acceptance of internet banking: An empirical study. Internat. J. Service Indust. Management 14(5):501–519.CrossrefGoogle Scholar
  • Wasko MM , Faraj S (2005) Why should i share? Examining social capital and knowledge contribution in electronic networks of practice. Management Inform. Systems Quart. 20(1):35–57.CrossrefGoogle Scholar
  • Watson RT (1990) Influences on the IS manager’s perceptions of key issues information scanning and the relationship with the CEO. Management Inform. Systems Quart. 14(2):217–231.CrossrefGoogle Scholar
  • Weill P (1992) The relationship between investment in information technology and firm performance: A study of the valve manufacturing sector. Inf. Inform. Systems 3(4):307–333.LinkGoogle Scholar
  • Weisfeld M (2013) The Object-Oriented Thought Process (Addison-Wesley, Reading, MA).Google Scholar
  • Wixom BH , Todd PA (2005) A theoretical integration of user satisfaction and technology acceptance. Inform. Systems Res. 16(1):85–102.LinkGoogle Scholar
  • Wixom BH , Watson HJ (2001) An empirical investigation of the factors affecting data warehousing success. Management Inform. Systems Quart. 25(1):17–38.CrossrefGoogle Scholar
  • Wu JH , Wang SC (2005) What drives mobile commerce? An empirical evaluation of the revised technology acceptance model. Inform. Management 42(5):719–729.Google Scholar
  • Xu X , Thong JY , Tam KY (2017) Winning back technology disadopters: Testing a technology readoption model in the context of mobile internet services. J. Management Inform. Systems 34(1):102–140.CrossrefGoogle Scholar
  • Yi MY , Davis FD (2003) Developing and validating an observational learning model of computer software training and skill acquisition. Inform. Systems Res. 14(2):146–169.LinkGoogle Scholar
  • Zhu K , Kraemer KL (2005) Post-adoption variations in usage and value of e-business by organizations: Cross-country evidence from the retail industry. Inform. Systems Res. 16(1):61–84.LinkGoogle Scholar
  • Zigurs I , Buckland BK (1998) A theory of task/technology fit and group support systems effectiveness. Management Inform. Systems Quart. 22(3):313–334.CrossrefGoogle Scholar
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