Iranian Journal of Information Management

Information Technology Infusion: A Systematic Literature Review

Document Type : Original Article

Authors

1 Ph.D. Candidate of IT Management, Faculty of Management and Accounting, Allameh Tabataba'i University (ATU), Tehran, Iran

2 Prof., Faculty of Management and Accounting, Allameh Tabataba'i University (ATU), Tehran, Iran

3 Associate Prof., Faculty of Management and Accounting, Allameh Tabataba'i University (ATU), Tehran, Iran

4 Associate Prof., Faculty of Management and Accounting, Allameh Tabataba'i University (ATU), Tehran, Iran

10.22034/aimj.2022.170986

Abstract

The Information Technology (IT) Infusion is known as the last stage of implementation and embedding of IT and is defined as: deep and comprehensive deployment of IT in the work systems of an individual and organization. Infusion is much beyond the initial acceptance and is placed after the post-implementation stage. The sixth stage, or in other words infusion, is one of the aspects that has been the least studied after the adoption and application of a technological innovation. The aim of this article is systematically reviewing the literature on IT Infusion between 1985 and 2022. This systematic review includes the scientific research works of countries, the distribution of articles based on the year of publication, journals, authors, the amount of citations to the journals and researchers and classified from the prospective of methodology. Findings show that IT infusion is still one of the dimensions that is less considered and researchers can use different theoretical and methodological approaches to study IT Infusion and cover the research gap.

Keywords

Abubakre, M., Ravishankar, M., & Coombs, C. (2015, May 5). The role of formal controls in facilitating information system diffusion. Information & Management, 52, 599–609. doi:10.1016/j.im.2015.04.005
Adams, D., Nelson, R., & Todd, P. (1992). Perceived usefulness ease of use. and usage of information technology: A replication. MIS Quarterly, 16(2), 227-247.
Adebayo, I., Ademola, B., Olufemi, K., & Chidozie, E. (2017). Information and Communication Technology Infusion Model for Microfinance Bank in the Nigeria. International Journal of Finance and Banking Research, 3(4), 57-69. doi:10.11648/j.ijfbr.20170304.12
Ahuja, M., & Thatcher, J. (2005). Moving Beyond Intentions and Toward the Theory of Trying: Effects of Work Environment and Gender on Post-Adoption Information Technology Use. MIS Quarterly, 29(3), 427-459.
Ajzen, I. (1991). The Theory of Planned Behavior. The Theory of Planned Behavior Decision Processes, 50, 179-211.
Amini, H., Minca, A., & Sulem, A. (2017). Optimal equity infusions in interbank networks. Journal of Financial Stability, 1-17.
Aria, M., & Cuccurullo, C. (2017). Bibliometrix: An R-tool for comprehensive science mapping analysis. Journal of Informetrics, 11(4), 959–975. doi:10.1016/j.joi.2017.08.007
Ash, J., & Gosh, L. (1997). Factors Affecting Information Technology Transfer and Innovation Diffusion in Health Care. Inovation In Technology Management, 751-754.
Barki, H., & Pinsonneault, A. (2005). A model of organizational integration, implementation effort and perforamnce. Organization Science, 16(2), 165-179.
Basole, R., & Patel, S. (2018). Transformation Through Unbundling: Visualizing the Global FinTech Ecosystem. Service Science, 10(4), 379-396. doi:10.1287/serv.2018.0210
Bernroider, E., & Schmöllerl, P. (2013). A technological, organisational, and environmental analysis of decision making methodologies and satisfaction in the context of IT induced business transformations. European Journal of Operational Research, 224, 141–153.
Bitner, M., Zeithaml, V., & Gremler, D. (2010). Technology’s Impact on the Gaps Model of Service Quality. Handbook of Service Science, 197-218.
Burton-Jones, A., & Straub, D. (2006). Reconceptualizing System Usage: An Approach and Empirical Test. Information Systems Research, 17(3), 228-246.
Bush, A., Moore, J., & Rocco, R. (2005). Understanding sales force automation outcomes: A managerial perspective. Industrial Marketing Management, 34, 369– 377.
Carter, M. (2012). Information Technology (IT) Identity: A Conceptualization Proposed Measures And Research Agenda. University of Clemson.
Castner, G., & Ferguson, C. (2000). The Effect of Transaction Costs on the Decision to Replace ‘Off‐the‐Shelf’ Software: The Role of Software Diffusion and Infusion. Information Systems Journal, 10(1), 65-83.
Cerpa, N., & Verner, J. (1998). Case study: The effect of IS maturity on information systems strategic planning. Information & Management, 34, 199-208.
Chang, W. (2022). The effectiveness of AI salesperson vs. human salesperson across the buyer-seller relationship stages. Journal of Business Research, 148, 241-251.
Chen , J., & Ching, R. (2006). An Examination of the Effects of Information and Communication Technology on Customer Relationship Management and Customer Lock-In. International Journal Electronic Business, 5(5), 127-146.
Chen, L., Hsieh, J., Rai, A., & Xu, S. (2021). How Does Employee Infusion Use of CRM Systems Drive Customer Satisfaction? Mechanism Differences Between Face-to-Face and Virtual Channels. MIS Quarterly, 719-754.
Chen, L.; Hsieh, J.J.; Rai, A. (2022). How does Intelligent System Knowledge Empowerment Yield Payoffs Uncovering the Adaptation Mechanisms and Contingency Role of Work Experience. Information Systems Research, In Press.
Cheng, B., Chiu, W., Shyu, M., & Luo, C. (2009). Implementation Methodology of Evidence-Based Medicine based on technological diffusion approach: a case of system establishment within the hospital industry. International Journal Technology Management, 47, 37-56.
Cooper, R., & Zmud, R. (1990). Information Technology Implementation Research: A Technological Diffusion Approach. Management Science, 36(2), 1-17.
Davenport, T., Harris, J., & Cantrell, S. (2004). Enterprise Systems and Ongoing Process Change. Business Process Management Journal, 10(1), 16.
Davis, F. (1989, September). Perceived Usefulness, Perceived Ease of Use and User Acceptance of Information Technology. MIS Quarterly, 13(3), 319-340.
De Keyser, A., Köcher, S., Alkire (née Nasr), L., Verbeeck, C., & Kandampully, J. (2019). Frontline Service Technology infusion: conceptual archetypes and future research directions. Journal of Service Management, 30(1), 156-183. doi:10.1108/JOSM-03-2018-0082
Del Aguila-Obra, A., & Padilla-Mele´ndez, A. (2006). Organizational factors affecting Internet technology adoption. Internet Research, 16(1), 94-110. doi:10.1108/10662240610642569
Djamasbi, S., & Strong, D. (2008). The effect of positive mood on intention to use computerized decision aids. Information & Management, 45, 43–51.
Donaldson, D., & Yakel, E. (2013). Secondary Adoption of Technology Standards: The case of PREMIS. Archival Science, 13(1), 55-83.
Eder, L., & Igbaria, M. (2001). Determinants of Intranet Diffusion and Infusion. Omega, 29(3), 233.
Eder, L.B.; Arinze, B.; Darter, M.E.; Wise, D.E. (2000). An Analysis of Intranet Infusion Levels. Information Resources Management Journal, 14-22, 14-22.
Fadel, K. (2012). The Role of Appraisal in Adapting to Information Systems. Journal of Organizational and End User Computing, 24(4), 18-40.
Fichman, R. (2001). The Role of Aggregation in the Measurement of IT-related Organizational Innovation. MIS Quarterly, 25(4), 427-455.
Fink, A. (2005). Conducting Research Literature Reviews: From the Internet to Paper. SAGE Publications.
Fishbein, M., & Ajzen, I. (1975). Belief, Attitude, Intention and Behavior: An Introduction to Theory and Research. Addison-Wesley Publishing Company.
Ghiassi, M., & Spera, C. (2003). Defining the Internet-based supply chain system for mass customized markets. Computers & Industrial Engineering, 45 , 17–41.
Giovannetti, M., Cardinali, S., & Sharma, P. (2021). Sales technology and salespeople’s ambidexterity: an ecosystem approach. Journal of Business & Industrial Marketing, 36(4), 615-629. doi:10.1108/JBIM-01-2020-0034
Grover, V., & Ramanlal, P. (1999). Six Myths of Information and Markets: Information Technology Networks, Electronic Commerce, and the Battle for Consumer Surplus. MIS Quarterly, 23(4), 465-495.
Grover, V., Purvis, R., & Segars, A. (2007). Exploring Ambidextrous Innovation Tendencies in the Adoption of Telecommunications Technologies. IEEE Transactions on Engineering Management, 54(2), 268-285.
Grublješič, T., & Jaklič, J. (2015). Conceptualization of the Business Intelligence Extended Use Model. Journal of Computer Information Systems, 55(3), 72-82.
Hanafizadeh, P., Behboudi, M., Koshksaray, A., & Tabar, M. (2014). Mobile Banking Adoption by Iranian Bank Clients. Telematics and Informatics, 31(1), 62-78.
Hassandoust, F., Techatassanasoontorn, A., & Tan, F. (2016). Factors Influencing the Infusion of Information Systems: A Literature Review. Pacific Asia Journal of the Association for Information Systems, 8(1), 1-32.
Hassandoust, F.; Techatassanasoontorn, A. (2021). Antecedents of IS infusion behaviours: an integrated IT identity and empowerment perspective. Behaviour & Information Technology, In Press. doi:10.1080/0144929X.2021.1928287
Hester, A. (2011). A Comparative Analysis of the Usage and Infusion of Wiki and Non-Wiki-Based Knowledge Management Systems. Information Technology and Management, 12(4), 335-355.
Hsieh, J., & Wang, W. (2007). Explaining Employees' Extended Use of Complex Information Systems. European Journal of Information Systems, 16(3), 216-227.
Hunter, G., & Panagopoulos, N. (2015). Commitment to technological change, sales force intelligence norms, and salesperson key outcomes. Industrial Marketing Management, 162-179.
Jasperson, J., Carter, P., & Zmud, R. (2005). A Comprehensive Conceptualization of Post-Adoptive Behaviors Associated with Information Technology Enabled Work Systems. MIS Quarterly, 29(3), 525-558.
Johnston, A., & Warkentin, M. (2010). Fear Appeals and Information Security Behaviors: An Empirical Study. MIS Quarterly, 34(3), 549-566.
Jones, E., Sundaram, S., & Chin, W. (2002). Factors leading to sales force automation use: A longitudinal analysis. Journal of Personal Selling and Sales Management, 22(3), 145-156.
Joo, J., & Shin, M. (2020). Resolving the tension between full utilization of contact tracing app services and user stress as an effort to control the COVID‑19 pandemic. Service Business, 461-478. doi:10.1007/s11628-020-00424-7
Karhanna, E., Straub, D. W., & Chervany, N. (1999). Information Technology Adoption Across Time: a cross-Sectional Comparision of Pre-Adoption and Post-Adoption Beliefs. MIS Quarterly, 23(2), 183-213.
Kaur, P., & Kaur, J. (2018). CE-GMS: A Cloud IoT-enabled grocery management system. Electronic Commerce Research and Applications, 63-72.
Ke, W., Tan, C., Sia, C., & Wei, K. (2012). Inducing Intrinsic Motivation to Explore the Enterprise System: The Supremacy of Organizational Levers. Journal of Management Information Systems, 29(3), 257-290.
Kim, H.-W., & Gupta, S. (2014, November). A User Empowerment Approach to Information Systems Infusion. IEEE Transactions on Engineering Management, 61(4), 1-13. doi:10.1109/TEM.2014.2354693
Kim, Hee-Woong ; Chan, Hock Chuan; Gupta, Sumeet. (2016). Examining information systems infusion from a user commitment perspective. Information Technology & People, 29(1), Vol. 29 Iss 1 pp. 173 - 199. doi:10.1108/ITP-09-2014-0197
Kwok, L., & Arnett, K. (1993). Organizational Impact of technology. Journal of Systems Management, 24-28.
Kwon, T., & Zmud, R. (1987). Unifying the Fragmented Models of Information Systems Implementation. In R. Boland, & R. Hirscheim, Critical Issues in Information Systems Research (pp. 227-251). New York: John Wiley and Sons, Inc.
Lee, H., & Yi, Y. (2022). The impact of self-service versus interpersonal contact on customer–brand relationship in the time of frontline technology infusion. Psychology & Marketing, 39(5), 906-920.
Lee, S., Han, I., & Park, J. (2000). Effects of Organization Characteristics on EDI Implementation in Korea. Telecommunication Systems, 14(1), 331-337.
Li, X., Hsieh, J., & Rai, A. (2009). A Motivational Account for Post-Acceptance Routine and Innovative Use: Introducing the Concept of Tri-Dimensional Intrinsic Motivation. ICIS 2009 Proceedings, (p. Paper 177).
Lowry, P., Twyman, N., Pickard, M., Jenkins, J., & Bui, Q. (2014). Proposing the Affect-Trust Infusion Model (ATIM) to Explain and Predict the Influence of High- and Low-Affect Infusion on Web-Vendor Trust. Information & Management, 579-594. doi:10.1016/j.im.2014.03.005
Maas, J., Fenema, P., & Soeters, J. (2014). ERP System Usage: the Role of Control and Empowerment. New Technology, Work and Employment, 29(1), 88-103.
Manthou, V., Vlachopoulou, M., & Theodorou, P. (1996). 1996-The implementation and use of material requirements planning system in Northern Greece: A case study. international journal of Production Economics, 45, 187-193.
McKnight, D., Carter, M., Thatcher, J., & Clay, P. (2011). Trust in a Specific Technology: An investigation of its components and measures. ACM Transactions on Management Information Systems, 2(2), 12-36.
Merritt, S. (2011). Affective Processes in Human–Automation Interactions. Human Factors, 53(4), 356–370. doi:10.1177/0018720811411912
Ng, E., & Kim, H. (2009). Investigating Information Systems Infusion and the Moderating Role of Habit: A User Empowerment Perspective. International Conference on Information System. Pheonix,Arizona.
Nicolaisen, J., & Hjørland, B. (2007). Practical Potentials Of Bradford's Law: A Critical Examination Of The Received View. Journal Of Documentation, 63(3), 359-363.
O’Connor, Yvonne; O’ Reilly, Philip. (2018). Examining the infusion of mobile technology by healthcare practitioners in a hospital setting. Information Systems Frontiers, 20(6), 1297–1317. doi:10.1007/s10796-016-9728-9
O’Connor, Yvonne; O’Reilly, Phillip; O’Donoghue, John. (2013). M-health infusion by health care practitioners in the national health services (NHS). Health Policy and Technology, 2, 26–35. doi:10.1016/j.hlpt.2012.12.002
Oliveira, T., & Martins, M. (2011). Literature Review of Information Technology Adoption Models at Firm Level. The Electronic Journal Information Systems Evaluation, 14(1), 110-121.
Orlikowski, W., & Baroudi, J. (1991). Studying information technology in organizations: Research approaches and assumptions. Information Systems Research, 2(1), 1–28. doi:10.1287/isre.2.1.1
Pao-Long, C., & Lung, S. (2002). Organizational Changes for Advanced Manufacturing Technology Infusion: An empirical study. International Journal of Management, 19(2), 206-217.
Parthasarathy, M., & Bhattacherjee, A. (1998). Understanfing post-Adoption behavior in the context of online services. Information Systems Research, 9(4), 362-379.
Pongpattrachai, D., Cragg, P., & Fisher, R. (2014, March). IT infusion within the audit process: Spreadsheet use in small audit firms. International Journal of Accounting Information Systems, 15(1), 26-46. doi:10.1016/j.accinf.2013.03.001
Qi, J., Li, L., Li, Y., & Shu, H. (2009). An Extension of Technology Acceptance Model: Analysis of the Adoption of Mobile Data Services in China. Systems Research and Behavioral Science, 26, 391-407.
Ramamurthy, K., Sen, A., & Sinha, A. (2008). Data Warehousing Infusion and Organizational Effectiveness. IEEE Transactions on Systems, Man and Cybernetics, Part A: Systems and Humans, 38(4), 976-994.
Röding, T., Nimmermann, F., Steinmann, S., & Schramm-Klein, H. (2019). The influence of technology infusion on customers’ information disclosure behaviour within the frontline service encounter. The International Review of Retail, Distribution and Consumer Research, 29(5), 482-503. doi:10.1080/09593969.2019.1664612
Rogers, E. (1995). Diffusion of Innovations. New York, U.S.A: The Free Press.
Roldána, J., Sánchez-Francoa, M., & Real, J. (2017). From frequency of use to social integration: The mediation of routinization and infusion in Tuenti community. European Research on Management and Business Economics, 63-69.
Saeed, K., & Abdinnour-Helm, S. (2008). Examining the Effects of Information System Characteristics and Perceived Usefulness on Post Adoption Usage of Information Systems. Information and Management, 45(6), 376-386.
Saga, V., & Zmud, R. (1994). The Nature and Determinants of IT Acceptance,Routinization and Infusion. (L. Levine, Ed.) Diffusion, Transfer and Implementation of Information, pp. 67-86.
Shao, Y. (1997). The Infusion of Expert Systems in Banking: An Exploratory Study. Expert Systems With Applications, 12(4), 429-440.
Smith, C., & Sage, A. (1989). Systems Management of Technology Infusion and New Product Development. Information and Decision Technologies, 343-358.
Sullivan, C. (1985). Systems Planning in the Information Age. Sloan Management Review, 26(2), 3-13.
Sundaram, S., Schwarz, A., Jones, E., & Chin, W. (2007). Technology Use on the Front Line: How Information Technology Enhances Individual Performance. Journal of the Academy of Marketing Science, 35(1), 101-112.
Tanglu, I., & Basoglu, N. (2010). Exploring technology diffusion: Case of information technologies. International Journal of Information Technology & Decision Making, 9(2), 195–222. doi:10.1142/S0219622010003786
Tayal, R., Upadhyay, R., Yadav, M., & Rangnekar, S. (2018). The impact of transformational leadership on employees acceptance to change: Mediating effects of innovative behaviour and moderating effect of the use of information technology. VINE Journal of Information and Knowledge Management Systems, 48(4), 559-578. doi:10.1108/VJIKMS-05-2018-0039
Taylor, S.; Todd, P.A. (1995b). Understanding Information Technology Usage - a Test of Competing Models. Information Systems Research, 6(2), 144-176.
Tesar, G. (1994). Assessment of mutually beneficial technology: East-West perspective. R & D Management, 199-205.
Thakur, R., & AlSaleh, D. (2021). Drivers of managers’ affect (emotions) and corporate website usage: a comparative analysis between a developed and developing country. Journal of Business & Industrial Marketing, 962-976. doi:10.1108/JBIM-02-2020-0118
Thatcher, J., McKnight, D., Baker, E., Arsal, R., & Roberts, N. (2011). The Role of Trust in Post-Adoption IT Exploration: An Empirical Examination of Knowledge Management Systems. IEEE Transactions on Engineering Management, 58(1), 56-70.
Vega, A., Chiasson, M., & Brown, D. (2008). Extending the Research Agenda on Diffusion: The Case of Public Program Interventions for the Adoption of e-Business Systems in SMEs. Journal of Information Technology, 23(2), 109-117.
Venkatesh, V., Morris, M., Davis, G., & Davis, F. (2003). User Acceptance of Information Technology: Toward a Unified View. MIS Quarterly, 27(3), 425.
Wainwright, D., & Waring, T. (2007). The Application and Adaptation of a Diffusion of Innovation Framework for Information Systems Research in NHS General Medical Practice. Journal of Information Technology, 22(1), 44-58.
Wang, W., Hsieh, J., Butler, J., & Hsu, S.-H. (2008). Innovate with Complex Information Technologies: A theoretical model and empirical examination. Journal of Computer Information Systems, 49(1), 27-36.
Williams, M., Dwivedi, Y., Lal, B., & Schwarz, A. (2009). Contemporary trends and issues in IT adoption and diffusion research. Journal of Information Technology, 24(1), 1–10. doi:10.1057/jit.2008.30
Winston, E., & Dologite, D. (1999). Achieving IT infusion: A conceptual model for small businesses. Information Resources Management Journal, 12(1), 26-38.
Wynekoop, J. (1991). An Innovation Study of the Implementation of Computer-Aided Software Engineering Tools. Georgia State University.
Yadav, R., & Bhatnagar, S. (2022). Channel Collaboration in E-commerce: A Study on Channel Relationship from the Perspective of Vendors Selling on Online Platforms, the E-retailers. Transforming Organizations Through Flexible Systems Management , 223-241.
Yu, S., Mishra, A., Gopal, A., Slaughter, S., & Mukhopadhyay, T. (2015, July). E-Procurement Infusion and Operational Process Impacts in MRO Procurement: Complementary or Substitutive Effects? Production and Operations Management, 24(7), 1054–1070. doi:10.1111/poms.12362
Zelkowitz, M. (1996). Software Engineering Technology Infusion Within NASA. IEEE Transactions On Engineering Management, 43(3), 250-261.
Zmud, R., & Apple, L. (1992). Measuring Technology Incorporation / Infusion. Journal of Product Innovation Management, 9, 148-155.
Iranian Journal of Information Management
Volume 8, Issue 1 - Serial Number 14
August 2022
Pages 245-276
  • Receive Date: 01 October 2022
  • Accept Date: 06 March 2023