IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v8y2016i7p659-d73807.html
   My bibliography  Save this article

Driving Sustainable Competitive Advantage in the Mobile Industry: Evidence from U.S. Wireless Carriers

Author

Listed:
  • Changhee Kim

    (College of Business Administration, Seoul National University, 1 Gwanak-ro, Gwanak-gu, Seoul 08826, Korea)

  • Soo Wook Kim

    (College of Business Administration, Seoul National University, 1 Gwanak-ro, Gwanak-gu, Seoul 08826, Korea)

  • Hee Jay Kang

    (College of Business Administration, Seoul National University, 1 Gwanak-ro, Gwanak-gu, Seoul 08826, Korea)

Abstract

In light of the growing importance of data network quality in the wireless industry, this study analyzes and compares efficiencies in management, service quality, network quality, and market in the 4G Long Term Evolution (LTE) wireless industry. For this purpose, a bootstrap data envelopment analysis (DEA) model using representative U.S. wireless carriers as decision making units (DMUs) was designed and conducted, with further verification through the Mann-Whitney U and Wilcoxon W test, to examine the differences in efficiency distribution. The results indicate that, in terms of efficiency distribution, network quality efficiency and market efficiency belongs to the same group as that which has high management efficiency. Based on these results, this paper suggests implications and strategic guidelines for wireless carriers for improvement in management efficiency.

Suggested Citation

  • Changhee Kim & Soo Wook Kim & Hee Jay Kang, 2016. "Driving Sustainable Competitive Advantage in the Mobile Industry: Evidence from U.S. Wireless Carriers," Sustainability, MDPI, vol. 8(7), pages 1-13, July.
    • Handle: RePEc:gam:jsusta:v:8:y:2016:i:7:p:659-:d:73807
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/8/7/659/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/8/7/659/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Leopold Simar & Paul Wilson, 2000. "A general methodology for bootstrapping in non-parametric frontier models," Journal of Applied Statistics, Taylor & Francis Journals, vol. 27(6), pages 779-802.
    2. Tseng, Fang-Mei & Chiu, Yu-Jing, 2005. "Hierarchical fuzzy integral stated preference method for Taiwan's broadband service market," Omega, Elsevier, vol. 33(1), pages 55-64, February.
    3. Léopold Simar & Paul W. Wilson, 1998. "Sensitivity Analysis of Efficiency Scores: How to Bootstrap in Nonparametric Frontier Models," Management Science, INFORMS, vol. 44(1), pages 49-61, January.
    4. Jacobs,Rowena & Smith,Peter C. & Street,Andrew, 2006. "Measuring Efficiency in Health Care," Cambridge Books, Cambridge University Press, number 9780521851442, October.
    5. Gilles Laurent & Pierre Chandon & Brian Wansink, 2000. "A Benefit Congruency Framework of Sales Promotion Effectiveness," Post-Print hal-00458440, HAL.
    6. Kanghwa Choi & DonHee Lee & David Olson, 2015. "Service quality and productivity in the U.S. airline industry: a service quality-adjusted DEA model," Service Business, Springer;Pan-Pacific Business Association, vol. 9(1), pages 137-160, March.
    7. Gerpott, Torsten J. & Rams, Wolfgang & Schindler, Andreas, 2001. "Customer retention, loyalty, and satisfaction in the German mobile cellular telecommunications market," Telecommunications Policy, Elsevier, vol. 25(4), pages 249-269, May.
    8. Lei Fang & Hecheng Li, 2013. "Lower bound of cost efficiency measure in DEA with incomplete price information," Journal of Productivity Analysis, Springer, vol. 40(2), pages 219-226, October.
    9. R. D. Banker & A. Charnes & W. W. Cooper, 1984. "Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis," Management Science, INFORMS, vol. 30(9), pages 1078-1092, September.
    10. Boussofiane, A. & Dyson, R. G. & Thanassoulis, E., 1991. "Applied data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 52(1), pages 1-15, May.
    11. Bolton, Ruth N & Drew, James H, 1991. "A Multistage Model of Customers' Assessments of Service Quality and Value," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 17(4), pages 375-384, March.
    12. Alexandre Momparler & Carlos Lassala & Domingo Ribeiro, 2013. "Efficiency in banking services: a comparative analysis of Internet-primary and branching banks in the US," Service Business, Springer;Pan-Pacific Business Association, vol. 7(4), pages 641-663, December.
    13. LAURENT, Gilles & CHANDON, Pierre & WANSINK, Brian, 2000. "A benefit congruency framework of sales promotion effectiveness," HEC Research Papers Series 698, HEC Paris.
    14. Charnes, A. & Cooper, W. W. & Rhodes, E., 1978. "Measuring the efficiency of decision making units," European Journal of Operational Research, Elsevier, vol. 2(6), pages 429-444, November.
    15. Tsai, Hsiang-Chih & Chen, Chun-Mei & Tzeng, Gwo-Hshiung, 2006. "The comparative productivity efficiency for global telecoms," International Journal of Production Economics, Elsevier, vol. 103(2), pages 509-526, October.
    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. Haifeng Wang & Pengfei Han & Weishu Liu, 2018. "How to Improve Sustainable Competitive Advantage from the Distributor and the Supplier Networks: Evidence from the Paper-Making Industry in China," Sustainability, MDPI, vol. 10(6), pages 1-13, June.

    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. Changhee Kim & Hyunjung Kim & Kanghwa Choi, 2020. "Efficiency Analysis of Public Library Services Based on Establishing Entity and Outsourcing," Sustainability, MDPI, vol. 12(21), pages 1-15, November.
    2. Sebastian Kohl & Jan Schoenfelder & Andreas Fügener & Jens O. Brunner, 2019. "The use of Data Envelopment Analysis (DEA) in healthcare with a focus on hospitals," Health Care Management Science, Springer, vol. 22(2), pages 245-286, June.
    3. Changhee Kim & Soo Wook Kim & Hee Jay Kang & Seung-Min Song, 2017. "What Makes Urban Transportation Efficient? Evidence from Subway Transfer Stations in Korea," Sustainability, MDPI, vol. 9(11), pages 1-18, November.
    4. Petridis, Konstantinos & Malesios, Chrisovalantis & Arabatzis, Garyfallos & Thanassoulis, Emmanuel, 2013. "Efficiency analysis of forestry journals: Suggestions for improving journals’ quality," Journal of Informetrics, Elsevier, vol. 7(2), pages 505-521.
    5. Oliver Tiemann & Jonas Schreyögg, 2012. "Changes in hospital efficiency after privatization," Health Care Management Science, Springer, vol. 15(4), pages 310-326, December.
    6. Audibert, Martine & Mathonnat, Jacky & Pelissier, Aurore & Huang, Xiao Xian & Ma, Anning, 2013. "Health insurance reform and efficiency of township hospitals in rural China: An analysis from survey data," China Economic Review, Elsevier, vol. 27(C), pages 326-338.
    7. Varabyova, Yauheniya & Schreyögg, Jonas, 2013. "International comparisons of the technical efficiency of the hospital sector: Panel data analysis of OECD countries using parametric and non-parametric approaches," Health Policy, Elsevier, vol. 112(1), pages 70-79.
    8. Valentin Zelenyuk, 2019. "Data Envelopment Analysis and Business Analytics: The Big Data Challenges and Some Solutions," CEPA Working Papers Series WP072019, School of Economics, University of Queensland, Australia.
    9. Kang, Hee Jay & Kim, Changhee & Choi, Kanghwa, 2024. "Combining bootstrap data envelopment analysis with social networks for rank discrimination and suitable potential benchmarks," European Journal of Operational Research, Elsevier, vol. 312(1), pages 283-297.
    10. George Halkos & Kleoniki Natalia Petrou, 2019. "Analysing the Energy Efficiency of EU Member States: The Potential of Energy Recovery from Waste in the Circular Economy," Energies, MDPI, vol. 12(19), pages 1-32, September.
    11. Halkos, George & Tzeremes, Nickolaos, 2011. "Population density and regional welfare efficiency," MPRA Paper 30097, University Library of Munich, Germany.
    12. Halkos, George & Petrou, Kleoniki Natalia, 2018. "‘Waste culture’ assessment using Hofstede’s and Schwartz’s cultural dimensions – an EU case study," MPRA Paper 90506, University Library of Munich, Germany.
    13. Franz R. Hahn, 2007. "Determinants of Bank Efficiency in Europe. Assessing Bank Performance Across Markets," WIFO Studies, WIFO, number 31499.
    14. George Halkos & Roman Matousek & Nickolaos Tzeremes, 2016. "Pre-evaluating technical efficiency gains from possible mergers and acquisitions: evidence from Japanese regional banks," Review of Quantitative Finance and Accounting, Springer, vol. 46(1), pages 47-77, January.
    15. Alessandra Cepparulo & Gilles Mourre, 2020. "How and How Much? The Growth-Friendliness of Public Spending through the Lens," European Economy - Discussion Papers 132, Directorate General Economic and Financial Affairs (DG ECFIN), European Commission.
    16. Santos, Joana & Simões, Pedro & Costa, Álvaro & Cunha Marques, Rui, 2010. "Efficiency of the Portuguese metros. is it different from other European metros?," MPRA Paper 34904, University Library of Munich, Germany.
    17. Halkos, George & Tzeremes, Nickolaos, 2008. "Measuring regional public health provision," MPRA Paper 23762, University Library of Munich, Germany.
    18. Nadia M. Guerrero & Juan Aparicio & Daniel Valero-Carreras, 2022. "Combining Data Envelopment Analysis and Machine Learning," Mathematics, MDPI, vol. 10(6), pages 1-22, March.
    19. Wijesiri, Mahinda & Yaron, Jacob & Meoli, Michele, 2017. "Assessing the financial and outreach efficiency of microfinance institutions: Do age and size matter?," Journal of Multinational Financial Management, Elsevier, vol. 40(C), pages 63-76.
    20. Kaffash, Sepideh & Azizi, Roza & Huang, Ying & Zhu, Joe, 2020. "A survey of data envelopment analysis applications in the insurance industry 1993–2018," European Journal of Operational Research, Elsevier, vol. 284(3), pages 801-813.

    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:gam:jsusta:v:8:y:2016:i:7:p:659-:d:73807. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.