IT INVESTMENTS AND PRODUCTIVITY Aubert, B., HEC Montreal, Victoria University of Wellington Croteau, A.-M., John Molson School of Business Hooper, V., Victoria University of Wellington VALUE CREATION AND IT INFRASTRUCTURE The role of IT governance in the establishment of IT architecture (Peterson, 2001, 2004) The definition of IT infrastructure (Broadbent and Weill, 1997) Services HR components IT components Strategic alignment (Chan, Huff, Barclay, Copland, 1997) Flexibility enabled by IT (Fink and Neumann, 2009) Diminishing marginal returns with IT investments (Nevo, Wade, Cook, 2010) INTERACTION EFFECTS Brynjolfsonn-Hitt (2004) suggest that complementary investments are required to extract benefits from IT investments Yuhn and Park (2010) found that organizational transformation is associated with IT applications to produce growth Cozzarin and Percival (2010) found no interaction between workplace practice and IT usage, and no interaction between training and IT usage Bloom, Sadun, Van Reenen (2012) found that US multinationals enjoyed higher productivity from IT than non-US multinationals. The combination of IT investments with management practices was the likely explanation. FRAMING THE IT VALUE RESEARCH Success Rate Governance of IT assets Definition of ITL., assets Source: Soh, C. and Markus, How IT Creates Business Value: A Process Theory Synthesis, ICIS 1995. GOVERNANCE Clear responsibility for the IT infrastructure Policies Acquisition information Planning process Exists Aligned with business goal Assessment of new technology IT INFRASTRUCTURE Connectivity The degree to which IT can connect to others, both inside and outside the organization Scalability The degree to which IT can be scaled and upgraded on existing infrastructure Compatibility The degree to which IT can share any type of information both inside and outside the organization Data administration Use of data dictionary and common data definitions Enterprise model Comprehensive approach documenting business processes, inventories, standards IT personnel competency The degree to which IT personnel possess relevant skills and experience to perform IT activities RESEARCH MODEL IT infrastructure Governance Clarity of responsibility Connectivity Compatibility Scalability Data administration definition Level of planning Internal performance Market success/ business performance Enterprise model definition IT personnel competency Training Controlling for strategic type Process change investment Non-IT personnel competency MEASURES Governance (Lewis and Byrd, 2003) IT infrastructure Connectivity (Chanopas, Krarit, and Khang 2006) Scalability (Chanopas, Krarit, and Khang 2006) Compatibility (Fink and Neumann, 2009) Data administration definition (Lewis and Byrd, 2003) Enterprise model definition (Lewis and Byrd, 2003) IT personnel competency (Chanopas, Krarit, and Khang, 2006) Complementary investments Non IT Personnel competency (adapted from Chanopas et al. 2006) Training (Statistics Canada) Process changes (Statistics Canada) Internal Performance (Hudson, Smart, and Bourne, 2001) Market Performance (Venkatraman, 1989) DATA 429 respondents 176 Canada 253 New Zealand No difference between jurisdictions Firm Size Less than 50 : 14,8% Between 51 and 100: 27,5% Between 101 and 250: 29,9% Over 251: 27,8% ANALYSIS Partial Least Squares Analysis of reliability Validity Convergent Discriminant Path analysis RELIABILITY Variable Alpha Responsibility 0,90 IT Planning 0,88 Connectivity 0,76 Scalability 0,91 Compatibility 0,76 Data administration 0,87 Enterprise model 0,86 IT personnel competency 0,91 Process change investments 0,75 Training 0,68 Non-IT personnel competency 0,85 Internal performance 0,67 Market performance 0,86 IT_PERS_COMP ,77 DATA_ADM ,402** ,75 ENTER_MODEL ,475** ,824** ,77 COMPATIBILITY ,390** ,517** ,549** ,76 RESPONSIBILITY ,497** ,485** ,551** ,442** ,88 IT_PLANNING ,482** ,538** ,631** ,446** ,649** ,84 CONNECTIVITY ,354** ,460** ,491** ,537** ,439** ,548** ,72 SCALABILITY ,502** ,479** ,530** ,558** ,482** ,480** ,487** ,86 NON_IT_COMPET ,418** ,373** ,403** ,395** ,393** ,450** ,367** ,422** ,72 ,002 ,248** ,235** ,149** ,090 ,149** ,220** ,055 ,143** ,55 TRAINING ,158** ,226** ,208** ,160** ,136** ,229** ,162** ,130** ,203** ,393** ,66 INTERNAL_PERF ,220** ,243** ,253** ,235** ,233** ,192** ,109* ,253** ,269** -,065 ,224** ,57 BUSINESS_PERF ,189** ,236** ,309** ,234** ,197** ,243** ,196** ,277** ,257** ,061 ,209** ,357** PROCESS_INVEST BUSINESS_PERF INTERNAL_PERF TRAINING PROCESS_INVEST NON_IT_COMPET SCALABILITY CONNECTIVITY IT_PLANNING RESPONSIBILITY COMPATIBILITY ENTER_MODEL DATA_ADM IT_PERS_COMP CORRELATIONS **. Correlation is significant at the 0.01 level (2-tailed). *. Correlation is significant at the 0.05 level (2-tailed). ,57 IT INFRASTRUCTURE AS A SECOND ORDER CONSTRUCT Centralization of responsibility Level of planning R2 = 0,51 R2 0,45 IT infrastructure 0,34 0,21 R2 = 0,21 = 0,22 Internal performance 0,46 0,22 0,74 Scalability Training 0,20 0,67 0,76 Compatibility Data administration definition 0,87 0,70 Enterprise model 0,63 IT personnel competency definition Connectivity Non-IT personnel competency 0,04 (n.s.) Process change investment Market success/ business performanc e FIRST OBSERVATIONS IT infrastructure as a whole influences firm performance. It is not a specific component of infrastructure that increases the firm productivity Training and IT skills of non-IT personnel increase the performance of the firm. Process changes do not influence the performance of the firm Training and process change do not show an interaction effect with IT infrastructure DEPENDENT VARIABLE: PERFORMANCE Base model Interaction Low High model infrastructure infrastructure IT infrastructure (ITI) 0.218* 0.241* Training 0.219* 0.216* 0.220* 0.247* Non-IT personnel competency 0.198* 0.180* 0.258* 0.175* Organizational changes 0.040 -0.236* 0.229* 0.224 0.181 -0.001 ITI x Training -0.108 ITI x Non-IT pers. competency -0.042 ITI x Organizational changes Variance explained 0.187* 0.222 0.243 LOW IT INFRASTRUCTURE R2 = 0,20 R2 = 0,22 Internal performance 0,22 Training 0,26 Non-IT personnel competency 0,45 -0,24 Process change investment Market success/ business performance HIGH IT INFRASTRUCTURE (4+) R2 = 0,18 Internal performance 0,25 Training 0,17 Non-IT personnel competency R2 = 0,14 0,38 0,23 Process change investment Market success/ business performance PROCESS CHANGES IMPLEMENTED (DECREASING FREQUENCY) Low infrastructure High infrastructure Reingineering Integration between departments Centralization Job rotation/enrichment Outsourcing Increased inter-org collaboration Flattening of the organization Decentralization Reengineering Integration between departments* Centralization Increased inter-org collaboration* Job rotation/enrichment Outsourcing Flattening of the organization Decentralization * *: significant difference between high infrastructure and low infrastructure (p<0,05) CONCLUSION Governance does explain IT infrastructure Individually, infrastructure components do not have a significant influence on performance IT infrastructure has to be considered as an ensemble Efforts to improve IT infrastructure have to address all the components Incentives to increase only one of the components (like hi-speed connections) might not enhance the firm performance significantly Non-IT personnel have to be IT skilful Training has a significant impact on performance There is a high IT infrastructure threshold to reach before gaining benefits from process changes investments THANK YOU QUESTIONS? GOVERNANCE (LEWIS AND BYRD, 2003) Responsibility RP1 1. RP2 2. RP3 3. RP4 4. Strongly disagree 1 neutral 2 A person is responsible for corporate-wide information systems and technology policy A single person involved in IT is also involved in the corporate business planning process A person approves corporate-wide information systems and technology acquisitions A person is responsible for distributed information systems and technology Strongly agree 3 4 5 1 2 3 4 5 1 2 3 4 5 1 2 3 4 5 1 2 3 4 5 IT planning PL1 5. There is a plan for enterprise-wide information systems and technology 1 2 3 4 5 PL2 6. Information systems/technology plan incorporates central system and desktop 1 2 3 4 5 PL3 7. Information systems/technology plan reflects business goals 1 2 3 4 5 PL4 8. Planning process for IS/IT incorporates end users 1 2 3 4 5 Back to Measures DATA ADMINISTRATION AND ENTERPRISE MODEL LEVELS OF DEFINITION Data administration level of definition DA1 16. DA2 17. DA3 18. DA4 19. DA5 20. DA6 21. DA7 22. Strongly disagree 1 neutral Strongly agree 2 3 4 5 Formal data administration (policies, standards, corporate oversight) A corporate data architecture (structure, framework, philosophy) A quality assurance program for systems and facilities A corporate policy on data ownership A data dictionary Data integration between applications Data sharing between users and departments 1 2 3 4 5 1 2 3 4 5 1 2 3 4 5 1 2 3 4 5 1 2 3 4 5 1 2 3 4 5 1 2 3 4 5 1 2 3 4 5 1 2 3 4 5 1 2 3 4 5 1 2 3 4 5 1 2 3 4 5 1 2 3 4 5 1 2 3 4 5 Enterprise model level of definition EM1 9. EM2 10. EM3 11. EM4 12. EM5 13. EM6 14. EM7 15. A documentation for corporate-wide information flow An inventory of corporate data and information An inventory of company IT facilities A formal methodology for systems development Corporate-wide adherence to information systems and technology standards Corporate-wide adherence to information systems and technology standards Data communications between central and distributed facilities (PCs) Back to Measures COMPATIBILITY AND CONNECTIVITY Strongly disagree Compatibility CM1 28. CM2 29. CM3 30. CM4 31. 1 neutral 2 Software applications can be easily transported and used across multiple platforms The company offers a wide variety of types of information to end users The user interfaces provide transparent access to all platforms and applications The company provides multiple interfaces or entry points (for example, Web access) for external end users Strongly agree 3 4 5 1 2 3 4 5 1 2 3 4 5 1 2 3 4 5 1 2 3 4 5 1 2 3 4 5 1 2 3 4 5 1 2 3 4 5 1 2 3 4 5 1 2 3 4 5 Connectivity CN1 32. CN2 33. CN3 34. CN4 35. CN5 36. Authorized data can be accessed by external parties through IT networks, regardless of location Authorized data can be accessed by internal users through IT networks, regardless of location All external parties (e.g. customers, suppliers) are electronically linked with the organization through IT networks Conferences within the organization can be held through IT networks, regardless of location All departments and branches are electronically linked together through IT networks Back to Measures SCALABILITY Strongly disagree 1 SC1 23. SC2 24. SC3 25. SC4 26. SC5 27. neutral 2 Hardware/software can be easily upgraded on existing IT infrastructure Hardware/software can be easily scaled on existing IT infrastructure Hardware/software can be easily and quickly adapted for changing needs and standards Hardware/software can support business growth in the future Hardware/software can be added to, modified or removed from existing IT infrastructure with no major overall effect Strongly agree 3 4 5 1 2 3 4 5 1 2 3 4 5 1 2 3 4 5 1 2 3 4 5 1 2 3 4 5 Back to Measures PROCESS CHANGE INVESTMENTS Built from a list provided by Statistics Canada Organizational change refers to a change in the way in which work is organized within your workplace or between your workplace and others. Has your workplace experienced any of the following forms of organizational change recently? PC1 54. Greater integration among different functional areas PC2 55. PC3 56. PC4 57. PC5 58. PC6 59. PC7 60. PC8 61. Increase in the degree of centralization Decrease in the degree of centralization Re-engineering (redesigning processes to improve performance and cost) Reduction in the number of managerial levels (delayering) Greater reliance on job rotation, multi-skilling Greater reliance on external suppliers of products / services (outsourcing) Greater inter-firm collaboration in R&D, production or marketing None Some Extensive Back to Measures TRAINING INVESTMENTS In your organization, there is: TR1 62. TR2 63. TR3 64. TR4 65. TR5 66. Job rotation Apprenticeship Assigning trainee as a member of task force Other form of on-site training (Lecture, group discussion, role playing, on-line training, simulation, video, etc.) Off-site training (example: Part times college course) None Some Extensive Back to Measures (CHANOPAS KRARIT KHANG 2006) IT PERSONNEL COMPETENCY Strongly disagree 1 IC1 37. IC2 38. IC3 39. IC4 40. IC5 41. IC6 42. IC7 43. IC9 44. IC10 45. neutral 2 IT personnel understand the policies and goals of the organization IT personnel are able to plan for future technological challenges IT personnel are able to be IT project leaders IT personnel are able to quickly learn and apply new technologies IT personnel are eager to learn new technologies IT personnel are able to interpret business problems and develop appropriate technical solutions IT personnel are knowledgeable about environmental constraints within the industry IT personnel are able to work cooperatively with users in a crossfunctional team IT personnel are skilled in multiple technologies and tools (e.g. programming languages , operating systems) Strongly agree 3 4 5 1 2 3 4 5 1 2 3 4 5 1 2 3 4 5 1 2 3 4 5 1 2 3 4 5 1 2 3 4 5 1 2 3 4 5 1 2 3 4 5 1 2 3 4 5 Back to Measures NON IT PERSONNEL COMPETENCY (ADAPTED FROM CHANOPAS KRARIT KHANG 2006) Strongly disagree 1 NC1 47. NC2 48. NC3 49. NC4 50. NC5 51. NC6 52. NC7 53. neutral 2 Non-IT personnel are able to participate in planning for future technological challenges Non-IT personnel are able to quickly learn and apply new technologies Non-IT personnel are eager to learn new technologies Non-IT personnel are able to correctly identify their problems and convey their needs for technical solutions to the IT function Non-IT personnel are knowledgeable about environmental constraints pertaining to IT Non-IT personnel are able to work cooperatively with IT in a crossfunctional team Non-IT personnel are sufficiently competent in the technologies and tools they need to do their jobs. Strongly agree 3 4 5 1 2 3 4 5 1 2 3 4 5 1 2 3 4 5 1 2 3 4 5 1 2 3 4 5 1 2 3 4 5 1 2 3 4 5 Back to Measures INTERNAL PERFORMANCE (ADAPTED FROM HUDSON, SMART, AND BOURNE 2001) When comparing your company relative to your principal competitors: BP9 75. Our product/service quality is: 76. Our process quality is: Very low :__:__:__:__:__: Very High Very low :__:__:__:__:__: Very high BP12 77. Scrap or lost efforts is (are): 78. Defect or error rate is: BP13 79. BP10 BP11 BP14 BP15 BP16 The quality of inputs provided by our suppliers/ collaborators is: 80. Our work in progress is running: 81. Our lead time is: 82. Our delivery time is: Very low :__:__:__:__:__: Very high Very low :__:__:__:__:__: Very high Very poor :__:__:__:__:__: Very high Smoothly :__:__:__:__:__: inefficiently Very short :__:__:__:__:__: Very long Very short :__:__:__:__:__: Very long Back to Measures MARKET PERFORMANCE (VENKATRAMAN 1989) Using to the following scale, would you please indicate your perception along the following dimensions related to your actual business performance. Please circle the number that best represents your opinion. For any item that is not applicable to your situation, please circle na (not applicable). BP1 67. BP3 69. BP6 72. BP7 73. BP8 74. BP2 68. BP4 70. BP5 71. The sales growth position relative to our principal Very low :__:__:__:__:__ Very High : competitors is: The return on corporate investment position relative to our Very low :__:__:__:__:__ Very high : principal competitors is: The market share gains relative to our principal Very small :__:__:__:__:__ Very large : competitors are: The net profit position relative to our principal competitors Very low :__:__:__:__:__ Very high : is: The financial liquidity position relative to our principal Very low :__:__:__:__:__ Very high : competitors is: Very low :__:__:__:__:__ Very high My satisfaction with sales growth rate is: : Very low :__:__:__:__:__ Very high My satisfaction with return on corporate investment is: : Very low :__:__:__:__:__ Very high My satisfaction with return on sales is: : Back to Measures GOVERNANCE AND IT INFRASTRUCTURE Level of planning Data administrati on definition R2 = 0,33 Compatibility R2 = 0,26 R2 = 0,46 0,261 Enterprise model definition 0,187 Connectivity R2 = 0,35 Scalability R2 = 0,29 IT personnel competency R2 = 0,29 0,386 0,287 0,480 0,454 0,273 0,243 Clarity of responsibilit y 0,247 0,277 0,316 0,349
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