IDEAS home Printed from https://ideas.repec.org/a/inm/orisre/v22y2011i2p233-253.html
   My bibliography  Save this article

Addressing Digital Inequality for the Socioeconomically Disadvantaged Through Government Initiatives: Forms of Capital That Affect ICT Utilization

Author

Listed:
  • J. J. Po-An Hsieh

    (Department of Management and Marketing, Hong Kong Polytechnic University, Hong Kong)

  • Arun Rai

    (Center for Process Innovation and Department of Computer Information Systems, Robinson College of Business, Georgia State University, Atlanta, Georgia 30303)

  • Mark Keil

    (Department of Computer Information Systems, Robinson College of Business, Georgia State University, Atlanta, Georgia 30303)

Abstract

Digital inequality, or unequal access to and use of information and communication technologies (ICT), is a severe problem preventing the socioeconomically disadvantaged (SED) from participating in a digital society. To understand the critical resources that contribute to digital inequality and inform public policy for stimulating initial and continued ICT usage by the SED, we drew on capital theories and conducted a field study to investigate: (1) the forms of capital for using ICT and how they differ across potential adopters who are SED and socioeconomically advantaged (SEA); (2) how these forms of capitals are relatively impacted for the SEA and the SED through public policy for ICT access; and (3) how each form of capital influences the SED's intentions to use initially and to continue to use ICT. The context for our study involved a city in the southeastern United States that offered its citizens free ICT access for Internet connectivity. Our results show that SED potential adopters exhibited lower cultural capital but higher social capital relative to the SEA. Moreover, the SED who participated in the city's initiative realized greater positive gains in cultural capital, social capital, and habitus than the SEA. In addition, we find that the SED's initial intention to use ICT was influenced by intrinsic motivation for habitus, self-efficacy for cultural capital, and important referents' expectations and support from acquaintances for social capital. Cultural capital and social cultural capital also complemented each other in driving the SED's initial use intention. The SED's continued use intention was affected by both intrinsic and extrinsic motivations for habitus and both knowledge and self-efficacy for cultural capital but was not affected by social capital. We also make several recommendations for future research on digital inequality and ICT acceptance to extend and apply the proposed capital framework.

Suggested Citation

  • J. J. Po-An Hsieh & Arun Rai & Mark Keil, 2011. "Addressing Digital Inequality for the Socioeconomically Disadvantaged Through Government Initiatives: Forms of Capital That Affect ICT Utilization," Information Systems Research, INFORMS, vol. 22(2), pages 233-253, June.
  • Handle: RePEc:inm:orisre:v:22:y:2011:i:2:p:233-253
    DOI: 10.1287/isre.1090.0256
    as

    Download full text from publisher

    File URL: http://dx.doi.org/10.1287/isre.1090.0256
    Download Restriction: no

    File URL: https://libkey.io/10.1287/isre.1090.0256?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Oecd, 2001. "Understanding the Digital Divide," OECD Digital Economy Papers 49, OECD Publishing.
    2. Barbara L. Marcolin & Deborah R. Compeau & Malcolm C. Munro & Sid L. Huff, 2000. "Assessing User Competence: Conceptualization and Measurement," Information Systems Research, INFORMS, vol. 11(1), pages 37-60, March.
    3. Holbrook, Morris B, 1986. "Aims, Concepts, and Methods for the Representation of Individual Differences in Esthetic Responses to Design Features," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 13(3), pages 337-347, December.
    4. Jarvis, Cheryl Burke & MacKenzie, Scott B & Podsakoff, Philip M, 2003. "A Critical Review of Construct Indicators and Measurement Model Misspecification in Marketing and Consumer Research," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 30(2), pages 199-218, September.
    5. Ritu Agarwal & V. Sambamurthy & Ralph M. Stair, 2000. "Research Report: The Evolving Relationship Between General and Specific Computer Self-Efficacy—An Empirical Assessment," Information Systems Research, INFORMS, vol. 11(4), pages 418-430, December.
    6. Viswanath Venkatesh & Fred D. Davis, 2000. "A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies," Management Science, INFORMS, vol. 46(2), pages 186-204, February.
    7. M. Sirgy & David Efraty & Phillip Siegel & Dong-Jin Lee, 2001. "A New Measure of Quality of Work Life (QWL) Based on Need Satisfaction and Spillover Theories," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 55(3), pages 241-302, September.
    8. Shirley Taylor & Peter A. Todd, 1995. "Understanding Information Technology Usage: A Test of Competing Models," Information Systems Research, INFORMS, vol. 6(2), pages 144-176, June.
    9. Segars, A. H., 1997. "Assessing the unidimensionality of measurement: a paradigm and illustration within the context of information systems research," Omega, Elsevier, vol. 25(1), pages 107-121, February.
    10. William Rozeboom, 1979. "Sensitivity of a linear composite of predictor items to differential item weighting," Psychometrika, Springer;The Psychometric Society, vol. 44(3), pages 289-296, September.
    11. Kenneth A. Bollen & Robert A. Stine, 1992. "Bootstrapping Goodness-of-Fit Measures in Structural Equation Models," Sociological Methods & Research, , vol. 21(2), pages 205-229, November.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Robert F. Easley & Hong Guo & Jan Krämer, 2018. "Research Commentary—From Net Neutrality to Data Neutrality: A Techno-Economic Framework and Research Agenda," Information Systems Research, INFORMS, vol. 29(2), pages 253-272, June.
    2. Hee Kyung Kim & Chang Won Lee, 2021. "Relationships among Healthcare Digitalization, Social Capital, and Supply Chain Performance in the Healthcare Manufacturing Industry," IJERPH, MDPI, vol. 18(4), pages 1-13, February.
    3. Ruyi Lin & Juan Chu & Lizi Yang & Ligao Lou & Huiju Yu & Junfeng Yang, 2023. "What are the determinants of rural-urban divide in teachers’ digital teaching competence? Empirical evidence from a large sample," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-12, December.
    4. Shailesh Rastogi & Akanksha Goel & Adesh Doifode, 2023. "Open APIs in banking and inclusive growth: an innovation to support the poverty eradication programs in India," Journal of Banking Regulation, Palgrave Macmillan, vol. 24(4), pages 432-444, December.
    5. Jiayi Liu & Anandhi Bharadwaj, 2020. "Drug Abuse and the Internet: Evidence from Craigslist," Management Science, INFORMS, vol. 66(5), pages 2040-2049, May.
    6. Lorenz Graf-Vlachy & Katharina Buhtz & Andreas König, 2018. "Social influence in technology adoption: taking stock and moving forward," Management Review Quarterly, Springer, vol. 68(1), pages 37-76, February.
    7. Polyxeni Vassilakopoulou & Eli Hustad, 2023. "Bridging Digital Divides: a Literature Review and Research Agenda for Information Systems Research," Information Systems Frontiers, Springer, vol. 25(3), pages 955-969, June.
    8. Ahlam Al-Muwil & Vishanth Weerakkody & Ramzi El-haddadeh & Yogesh Dwivedi, 2019. "Balancing Digital-By-Default with Inclusion: A Study of the Factors Influencing E-Inclusion in the UK," Information Systems Frontiers, Springer, vol. 21(3), pages 635-659, June.
    9. Brad N. Greenwood & Ritu Agarwal, 2016. "Matching Platforms and HIV Incidence: An Empirical Investigation of Race, Gender, and Socioeconomic Status," Management Science, INFORMS, vol. 62(8), pages 2281-2303, August.
    10. Natalia Levina & Manuel Arriaga, 2014. "Distinction and Status Production on User-Generated Content Platforms: Using Bourdieu’s Theory of Cultural Production to Understand Social Dynamics in Online Fields," Information Systems Research, INFORMS, vol. 25(3), pages 468-488, September.
    11. Michail V. Firsov & Alexander S. Sarychev & Yanina V. Shimanovskaya & Svetlana N. Kozlovskaya & Anna G. Akhtyan & Natalia P. Konstantinova, 2019. "Disabled Children in the Context of Russian Digital Economy Challenges," Academic Journal of Interdisciplinary Studies, Richtmann Publishing Ltd, vol. 8, July.
    12. Kim, Hyung Jin & Kim, Inchan & Lee, Hogeun, 2016. "Third-party mobile app developers’ continued participation in platform-centric ecosystems: An empirical investigation of two different mechanisms," International Journal of Information Management, Elsevier, vol. 36(1), pages 44-59.
    13. M Vimalkumar & Jang Bahadur Singh & Sujeet Kumar Sharma, 0. "Exploring the Multi-Level Digital Divide in Mobile Phone Adoption: A Comparison of Developing Nations," Information Systems Frontiers, Springer, vol. 0, pages 1-20.
    14. Gang Peng & Debabrata Dey, 2013. "Research Note ---A Dynamic View of the Impact of Network Structure on Technology Adoption: The Case of OSS Development," Information Systems Research, INFORMS, vol. 24(4), pages 1087-1099, December.
    15. Kai-Lung Hui & I. P. L. Png, 2015. "Research Note—Migration of Service to the Internet: Evidence from a Federal Natural Experiment," Information Systems Research, INFORMS, vol. 26(3), pages 606-618, September.
    16. M Vimalkumar & Jang Bahadur Singh & Sujeet Kumar Sharma, 2021. "Exploring the Multi-Level Digital Divide in Mobile Phone Adoption: A Comparison of Developing Nations," Information Systems Frontiers, Springer, vol. 23(4), pages 1057-1076, August.
    17. Silva, Diego S. & Yamashita, Gabrielli Harumi & Cortimiglia, Marcelo Nogueira & Brust-Renck, Priscila G. & ten Caten, Carla Schwengber, 2022. "Are we ready to assess digital readiness? Exploring digital implications for social progress from the Network Readiness Index," Technology in Society, Elsevier, vol. 68(C).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Chua Chang Jin & Lim Chee Seong & Aye Aye Khin, 2019. "Factors Affecting the Consumer Acceptance towards Fintech Products and Services in Malaysia," International Journal of Asian Social Science, Asian Economic and Social Society, vol. 9(1), pages 59-65, January.
    2. Yoon, Jeewhan & Vonortas, Nicholas S. & Han, SungWon, 2020. "Do-It-Yourself laboratories and attitude toward use: The effects of self-efficacy and the perception of security and privacy," Technological Forecasting and Social Change, Elsevier, vol. 159(C).
    3. Ruiz-Mafé, Carla & Sanz-Blas, Silvia & Aldás-Manzano, Joaquín, 2009. "Drivers and barriers to online airline ticket purchasing," Journal of Air Transport Management, Elsevier, vol. 15(6), pages 294-298.
    4. Aftab Pervez Khan & Shahnawaz Khan & Ivan Ang Ri Xiang, 2017. "Factors Influencing Consumer Intentions to Adopt Online Banking in Malaysia," Business & Economic Review, Institute of Management Sciences, Peshawar, Pakistan, vol. 9(2), pages 101-134, June.
    5. Daniel Belanche & Marta Flavián & Alfredo Pérez-Rueda, 2020. "Mobile Apps Use and WOM in the Food Delivery Sector: The Role of Planned Behavior, Perceived Security and Customer Lifestyle Compatibility," Sustainability, MDPI, vol. 12(10), pages 1-21, May.
    6. T. G. Saji & Deepa Paul, 2018. "Behavioural Intention to the Use of Mobile Banking in Kerala: An Application of Extended Classical Technology Acceptance Model," Metamorphosis: A Journal of Management Research, , vol. 17(2), pages 111-119, December.
    7. O'Connor, Genevieve E. & Myrden, Susan & Alkire (née Nasr), Linda & Lee, Kyungwon & Köcher, Sören & Kandampully, Jay & Williams, Jerome D., 2021. "Digital Health Experience: A Regulatory Focus Perspective," Journal of Interactive Marketing, Elsevier, vol. 56(C), pages 121-136.
    8. Lionel P. Robert Jr. & Tracy Ann Sykes, 2017. "Extending the Concept of Control Beliefs: Integrating the Role of Advice Networks," Information Systems Research, INFORMS, vol. 28(1), pages 84-96, March.
    9. Allam, Hesham & Bliemel, Michael & Spiteri, Louise & Blustein, James & Ali-Hassan, Hossam, 2019. "Applying a multi-dimensional hedonic concept of intrinsic motivation on social tagging tools: A theoretical model and empirical validation," International Journal of Information Management, Elsevier, vol. 45(C), pages 211-222.
    10. Peng, Zeyu & Sun, Yongqiang & Guo, Xitong, 2018. "Antecedents of employees’ extended use of enterprise systems: An integrative view of person, environment, and technology," International Journal of Information Management, Elsevier, vol. 39(C), pages 104-120.
    11. Weiyin Hong & Frank K. Y. Chan & James Y. L. Thong & Lewis C. Chasalow & Gurpreet Dhillon, 2014. "A Framework and Guidelines for Context-Specific Theorizing in Information Systems Research," Information Systems Research, INFORMS, vol. 25(1), pages 111-136, March.
    12. Steiner, Michael & Wiegand, Nico & Eggert, Andreas & Backhaus, Klaus, 2016. "Platform adoption in system markets: The roles of preference heterogeneity and consumer expectations," International Journal of Research in Marketing, Elsevier, vol. 33(2), pages 276-296.
    13. Wen-Lung Shiau & Yogesh K. Dwivedi, 2013. "Citation and co-citation analysis to identify core and emerging knowledge in electronic commerce research," Scientometrics, Springer;Akadémiai Kiadó, vol. 94(3), pages 1317-1337, March.
    14. Lee, Kyootai & Yan, Aihua & Joshi, Kailash, 2011. "Understanding the dynamics of users’ belief in software application adoption," International Journal of Information Management, Elsevier, vol. 31(2), pages 160-170.
    15. Philippe Cohard, 2020. "Information Systems Values: A Study of the Intranet in Three French Higher Education Institutions," Post-Print hal-02987225, HAL.
    16. Paul Juinn Bing Tan, 2013. "Applying the UTAUT to Understand Factors Affecting the Use of English E-Learning Websites in Taiwan," SAGE Open, , vol. 3(4), pages 21582440135, October.
    17. Mäntymäki, Matti & Salo, Jari, 2013. "Purchasing behavior in social virtual worlds: An examination of Habbo Hotel," International Journal of Information Management, Elsevier, vol. 33(2), pages 282-290.
    18. Garima Malik & A. Sajeevan Rao, 2019. "Extended expectation-confirmation model to predict continued usage of ODR/ride hailing apps: role of perceived value and self-efficacy," Information Technology & Tourism, Springer, vol. 21(4), pages 461-482, December.
    19. Riffat Ara Zannat Tama & Md Mahmudul Hoque & Ying Liu & Mohammad Jahangir Alam & Mark Yu, 2023. "An Application of Partial Least Squares Structural Equation Modeling (PLS-SEM) to Examining Farmers’ Behavioral Attitude and Intention towards Conservation Agriculture in Bangladesh," Agriculture, MDPI, vol. 13(2), pages 1-22, February.
    20. Javad Shahreki & Jaya Ganesan & Kavitha Raman & Audrey Lim Li Chin & Tee Suan Chin, 2019. "The effect of human resource information system application on employee satisfaction and turnover intention," Entrepreneurship and Sustainability Issues, VsI Entrepreneurship and Sustainability Center, vol. 7(2), pages 1462-1479, December.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:inm:orisre:v:22:y:2011:i:2:p:233-253. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Chris Asher (email available below). General contact details of provider: https://edirc.repec.org/data/inforea.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.