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Digital Natives and Digital Immigrants in the Creative Economy

How These Groups Adopt and Continually Use Digital Technologies

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Sustainable Digital Communities (iConference 2020)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 12051))

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Abstract

As digitalisation disrupts businesses ever more profoundly, the concern is growing about how creative workers and designers use digital technologies in their day-to-day practices. This study investigates factors that influence the intention of creative workers to use digital technology. The relationships between digital literacy, perceived usefulness (PU), perceived ease of use (PEOU), social norms, attitude towards use, and intention to use digital technology were examined for a sample of 377 respondents. Structural Equation Modelling (SEM) results show that digital literacy significantly impacts the intention to use digital technology. Attitude towards use mediates the relationships between PU, PEOU, and social norms to intention to use digital technology. Based on the results, theoretical contributions and implications are discussed.

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References

  1. Purcell, K., Rainie, L., Mitchell, A., Rosenstiel, T., Olmstead, K.: Understanding the participatory news consumer. Pew Internet Am. Life Proj. 1, 19–21 (2010)

    Google Scholar 

  2. Nikou, S., Brännback, M., Widén, G.: The impact of digitalization on literacy: digital immigrants vs. digital natives. In: 27th European Conference on Information Systems (ECIS), Stockholm, Sweden, 8–14 June (2019)

    Google Scholar 

  3. Prensky, M.: Digital natives, digital immigrants part 1. Horizon 9(5), 1–6 (2001)

    Article  Google Scholar 

  4. Prensky, M.: Digital natives, digital immigrants part 2: do they really think differently? Horizon 9(6), 1–6 (2001)

    Article  Google Scholar 

  5. Vodanovich, S., Sundaram, D., Myers, M.: Research commentary—digital natives and ubiquitous information systems. Inf. Syst. Research 21(4), 711–723 (2010)

    Article  Google Scholar 

  6. Kesharwani, A.: Do (how) digital natives adopt a new technology differently than digital immigrants? A longitudinal study. Inf. Manag. 103170 (2019)

    Google Scholar 

  7. Tufts, D.R.: Digital Adults: Beyond the Myth of the Digital Native Generation Gap. Fielding Graduate University, Santa Barbara, CA (2011)

    Google Scholar 

  8. Wang, Q.E., Myers, M.D., Sundaram, D.: Digital natives and digital immigrants. Bus. Inf. Syst. Eng. 5(6), 409–419 (2013)

    Article  Google Scholar 

  9. Parida, V.: Digitalization. In: Frishammar, J., Ericson, Å. (eds.) Addressing Societal Challenges, pp. 23–38. Luleå University of Technology (2018)

    Google Scholar 

  10. Higgs, P.L., Cunningham, S.D., Bakhshi, H.: Beyond the creative industries: Mapping the creative economy in the United Kingdom (2008)

    Google Scholar 

  11. Huws, U.: Labor in the Global Digital Economy: The Cybertariat Comes of Age. NYU Press, New York (2014)

    Google Scholar 

  12. Van Laar, E., Van Deursen, A.J., Van Dijk, J.A., de Haan, J.: Twenty-first-century digital skills for the creative industries workforce: perspectives from industry experts. First Monday 24(1) (2019)

    Google Scholar 

  13. Cavalheiro, S.: The Impact of Digitalization on Creative Economy: How Digital Technologies Enable to Increase Creativity Value (2019)

    Google Scholar 

  14. Teo, T.: An initial development and validation of a Digital Natives Assessment Scale (DNAS). Comput. Educ. 67(C), 51–57 (2013)

    Article  Google Scholar 

  15. Tapscott, D.: Growing up digital: the rise of the net generation. Educ. Inf. Technol. 4(2), 203–205 (1998)

    Google Scholar 

  16. Oblinger, D., Oblinger, J.L., Lippincott, J.K.: Educating the Net Generation. Boulder, Colo.: EDUCAUSE, c2005. 1 v.(various pagings): illustrations (2005)

    Google Scholar 

  17. Rosen, L.D.: Rewired: Understanding the iGeneration and the Way They Learn. St. Martin’s Press (2010)

    Google Scholar 

  18. Helding, L.: Digital natives and digital immigrants: teaching and learning in the digital age. J. Singing 68(2), 199 (2011)

    Google Scholar 

  19. Smith, G.: A critical look at the role of technology as a transformative agent. Technol. Hum. Educ. Narrat. (8) 65–77 (2011)

    Google Scholar 

  20. Thompson, P.: The digital natives as learners: technology use patterns and approaches to learning. Comput. Educ. 65, 12–33 (2013)

    Article  Google Scholar 

  21. Davis, F.D., Bagozzi, R.P., Warshaw, P.R.: User acceptance of computer technology: a comparison of two theoretical models. Manag. Sci. 35(8), 982–1003 (1989)

    Article  Google Scholar 

  22. Ajzen, I.: The theory of planned behavior. Organ. Behav. Hum. Decis. Process. 50(2), 179–211 (1991)

    Article  Google Scholar 

  23. Kim, S.S.: The integrative framework of technology use: an extension and test. MIS Q.: Manag. Inf. Syst. 33(3), 513–537 (2009)

    Article  Google Scholar 

  24. Po-An Hsieh, J.J., Wang, W.: Explaining employees’ extended use of complex information systems. Eur. J. Inf. Syst. 16(3), 216–227 (2007)

    Google Scholar 

  25. Venkatesh, V., Morris, M.G., Davis, G.B., Davis, F.D.: User acceptance of information technology: toward a unified view. MIS Q. 27(3), 425–478 (2003)

    Article  Google Scholar 

  26. Thompson, R.L., Higgins, C.A., Howell, J.M.: Personal computing: toward a conceptual model of utilization. MIS Q. 15(1), 125–143 (1991)

    Article  Google Scholar 

  27. Venkatesh, V., Morris, M.G., Ackerman, P.L.: A longitudinal field investigation of gender differences in individual technology adoption decision-making processes. Organ. Behav. Hum. Decis. Process. 83(1), 33–60 (2000)

    Article  Google Scholar 

  28. Gilster, P.: Digital Literacy. Wiley, New York (1997)

    Google Scholar 

  29. Pool, C.: A conversation with Paul Gilster. Educ. Leadersh. 55(3), 6–11 (1997)

    Google Scholar 

  30. Martin, A.: DigEuLit–a European framework for digital literacy: a progress report. J. eLiteracy 2(2), 130–136 (2005)

    Google Scholar 

  31. Ng, W.: Can we teach digital natives digital literacy? Comput. Educ. 59(3), 1065–1078 (2012)

    Article  Google Scholar 

  32. Helsper, E.J., Eynon, R.: Digital natives: where is the evidence? Br. Edu. Res. J. 36(3), 503–520 (2010)

    Article  Google Scholar 

  33. Joo, Y.J., Park, S., Lim, E.: Factors influencing preservice teachers’ intention to use technology: TPACK, teacher self-efficacy, and technology acceptance model. J. Educ. Technol. Soc. 21(3), 48–59 (2018)

    Google Scholar 

  34. Chow, M., Herold, D.K., Choo, T.M., Chan, K.: Extending the technology acceptance model to explore the intention to use Second Life for enhancing healthcare education. Comput. Educ. 59(4), 1136–1144 (2012)

    Article  Google Scholar 

  35. Lee, D.Y., Lehto, M.R.: User acceptance of YouTube for procedural learning: an extension of the Technology Acceptance Model. Comput. Educ. 61, 193–208 (2013)

    Article  Google Scholar 

  36. Hair, J.F., Risher, J.J., Sarstedt, M., Ringle, C.M.: When to use and how to report the results of PLS-SEM. Eur. Bus. Rev. 31(1), 2–24 (2019)

    Article  Google Scholar 

  37. Sarstedt, M., Ringle, C.M., Hair, J.F.: Partial least squares structural equation modeling. In: Handbook of Market Research, pp. 1–40 (2017)

    Google Scholar 

  38. Taylor, S., Todd, P.A.: Understanding information technology usage: a test of competing models. Inf. Syst. Res. 6(2), 144–176 (1995)

    Article  Google Scholar 

  39. Taylor, S., Todd, P.: Assessing IT usage: the role of prior experience. MIS Q. 19(4), 561–570 (1995)

    Article  Google Scholar 

  40. Armstrong, J.S., Overton, T.S.: Estimating nonresponse bias in mail surveys. J. Mark. Res. 14(3), 396–402 (1977)

    Article  Google Scholar 

  41. Hair, J.F., Ringle, C.M., Sarstedt, M.: PLS-SEM: indeed, a silver bullet. J. Mark. Theory Pract. 19(2), 139–152 (2011)

    Article  Google Scholar 

  42. Gefen, D., Straub, D.: A practical guide to factorial validity using PLS-Graph: tutorial and annotated example. Commun. Assoc. Inf. Syst. 16(5), 91–109 (2005)

    Google Scholar 

  43. Hair, J.F., Hult, G.T., Ringle, C.M., Sarstedt, M.: A Primer on Partial Least Squares Structural Equation Modelling (PLS-SEM). Sage Publication, Thousand Oaks (2013)

    MATH  Google Scholar 

  44. Hulland, J.: Use of partial least squares (PLS) in strategic management research: a review of four recent studies. Strateg. Manag. J. 20(2), 195–204 (1999)

    Article  Google Scholar 

  45. Bagozzi, R.P., Yi, Y.: On the evaluation of structural equation models. J. Acad. Mark. Sci. 16(1), 74–94 (1988)

    Article  Google Scholar 

  46. Hair, J.F., Sarstedt, M., Ringle, C.M., Mena, J.A.: An assessment of the use of partial least squares structural equation modelling in marketing research. J. Acad. Mark. Sci. 40(3), 414–433 (2012)

    Article  Google Scholar 

  47. Henseler, J., Ringle, C.M., Sarstedt, M.: A new criterion for assessing discriminant validity in variance-based structural equation modelling. J. Acad. Mark. Sci. 43(1), 115–135 (2015)

    Article  Google Scholar 

  48. Fornell, C., Larcker, D.F.: Evaluating structural equation models with unobservable variables and measurement error. J. Mark. Res. 18(1), 39–50 (1981)

    Article  Google Scholar 

  49. Kennedy, G.E., Judd, T.S., Churchward, A., Gray, K., Krause, K.L.: First-year students’ experiences with technology: are they really digital natives? Australas. J. Educ. Technol. 24(1), 108–122 (2008)

    Article  Google Scholar 

  50. Sharafi, P., Hedman, L., Montgomery, H.: Using information technology: engagement modes, flow experience, and personality orientations. Comput. Hum. Behav. 22(5), 899–916 (2006)

    Article  Google Scholar 

  51. Hsieh, J.P.A., Rai, A., Keil, M.: Addressing digital inequality for the socioeconomically disadvantaged through government initiatives: forms of capital that affect ICT utilization. Inf. Syst. Res. 22(2), 233–253 (2011)

    Article  Google Scholar 

  52. Fortunati, L., Taipale, S., de Luca, F.: Digital generations, but not as we know them. Convergence 25(1), 95–112 (2019)

    Article  Google Scholar 

  53. Lindell, J.: A methodological intervention in cosmopolitanism research: Cosmopolitan dispositions amongst digital natives. Sociol. Res. Online 19(3), 1–14 (2014)

    Article  Google Scholar 

  54. Carretero, S., Vuorikari, R., Punie, Y.: The Digital Competence Framework for Citizens. Publications Office of the European Union (2017). https://publications.jrc.ec.europa.eu/repository/bitstream/JRC106281/web-digcomp2.1pdf_(online).pdf

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Acknowledgement

This work was supported by Academy of Finland, project The Impact of Information Literacy in the Digital Workplace [grant number 295743].

Author information

Authors and Affiliations

  1. Åbo Akademi University, Fänriksgatan 3B, 20500, Turku, Finland

    Shahrokh Nikou, Suellen Cavalheiro & Gunilla Widén

Authors
  1. Shahrokh Nikou
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  2. Suellen Cavalheiro
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  3. Gunilla Widén
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Corresponding author

Correspondence to Shahrokh Nikou .

Editor information

Editors and Affiliations

  1. OsloMet – Oslo Metropolitan University, Oslo, Norway

    Anneli Sundqvist

  2. OsloMet – Oslo Metropolitan University, Oslo, Norway

    Gerd Berget

  3. University of Boras, Boras, Sweden

    Jan Nolin

  4. OsloMet – Oslo Metropolitan University, Oslo, Norway

    Kjell Ivar Skjerdingstad

Appendix. Measurement Instrument

Appendix. Measurement Instrument

Construct

Code

Items

Source

Social norms

SN1

Most professionals from my field use digital tools

Taylor and Todd [38, 39]

SN2

Professionals that I admire use digital tools

SN3

I have to use digital tools because my clients require it

SN4

Professionals that use digital tools have more prestige than those who do not

SN5

In my field, those who use digital tools have a high profile

Perceived usefulness

PU1

Using digital tools enable me to accomplish my work tasks more quickly

Davis [21]; Thompson et al. [26]

PU2

Using digital tools enhance my effectiveness in my work

PU3

Using digital tools can significantly increase the quality of output of my work

PU4

Using digital tools increase my chances of getting more jobs

PU5

Using digital tools increase my chances of getting jobs well-paid

Perceived ease of use

PEU1

It is easy for me to get the expected result with digital tools

Davis [21]

PEU2

It is easy for me to become a skilled user of digital tools

PEU3

It takes too long to learn how to use digital tools to make it worth the effort

PEU4

Working with digital tools is complicated. It is difficult to understand what is going on

Thompson et al. [26]

PEU5

Overall, I find digital tools easy to use

Attitude toward use

ATU1

The actual process of using digital tools is pleasant

Davis [21]; Thompson et al. [26]

ATU2

Digital tools make my work more interesting

ATU3

I work better using digital tools

ATU4

Digital tools enable me to be a self-directed and independent worker

ATU5

Once I started working with digital tools, I find it difficult to avoid

Intention to use digital technology

IU1

I do not hesitate to use new digital tools in my work processes

Venkatesh et al. [25]

IU2

I plan to continue using digital tools in my work processes for years to come

IU3

I intend to use the next versions of digital tools in my work processes

IU4

I am very likely to use digital tools to create my work digitally

IU5

I would recommend to other professionals in my field to use digital tools

Digital Literacy - Digital Natives Assessment Scale (DNAS)

Grow up with technology

Teo [14]

DNAS1

I use the Internet for work and leisure every day

DNAS2

When I need to know something, I search first online

DNAS3

I keep in touch through devices with friends and online communities every day

Comfortable with multitasking

DNAS4

I can check email and chat online at the same time

DNAS5

When using the Internet for my work, I am able to listen to music as well

DNAS6

I am able to use more than one application on the computer at a time

Reliant on graphics for communication

DNAS7

I use pictures and figures more than words when I wish to explain something

DNAS8

I use a lot of graphics and icons when I send messages

DNAS9

I use pictures to express my feelings and ideas better

Thrive on instant gratifications and rewards

DNAS10

I wish to be rewarded for everything I do

DNAS11

I expect the websites that I regularly visit to be constantly updated

DNAS12

When learning something new, I prefer to learn those that I can use quickly first

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Nikou, S., Cavalheiro, S., Widén, G. (2020). Digital Natives and Digital Immigrants in the Creative Economy. In: Sundqvist, A., Berget, G., Nolin, J., Skjerdingstad, K. (eds) Sustainable Digital Communities. iConference 2020. Lecture Notes in Computer Science(), vol 12051. Springer, Cham. https://doi.org/10.1007/978-3-030-43687-2_27

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  • DOI: https://doi.org/10.1007/978-3-030-43687-2_27

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-43686-5

  • Online ISBN: 978-3-030-43687-2

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