2019
DOI: 10.1177/0972150918816897
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Identifying the Critical Success Factors of Telecom Switching Barriers Using the AHP

Abstract: Switching barriers help telecom service providers create intangible restriction before telecom subscribers preventing them from switching to other service providers. This study aims at ranking the switching barriers to identify critical success factors of telecom service providers to retain customers and attain a competitive advantage in the market. The analytical hierarchy process (AHP) is used as a tool to rank the identified switching barriers. The literature review helped in identifying eight crucial switc… Show more

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Cited by 7 publications
(5 citation statements)
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“…Additionally, risk factors for new start-ups to promote sustainable business and to shape new ventures can leverage policymakers to elevate FDI and promote telecom companies worldwide. Finally, the current study reinforces earlier work (Zavadskas et al , 2014; Jacob and Subramoniam, 2020 in press; David, 2019) seeking to promote the telecommunication industry.…”
Section: Findings and Discussionsupporting
confidence: 86%
“…Additionally, risk factors for new start-ups to promote sustainable business and to shape new ventures can leverage policymakers to elevate FDI and promote telecom companies worldwide. Finally, the current study reinforces earlier work (Zavadskas et al , 2014; Jacob and Subramoniam, 2020 in press; David, 2019) seeking to promote the telecommunication industry.…”
Section: Findings and Discussionsupporting
confidence: 86%
“…Even when switching costs are low, a satisfied customer will remain loyal due to the swapping costs (Hadi et al, 2019). Researchers have pointed out that loyal customers with lower switching tendencies do not try different connections frequently (Rahul and Majhi, 2014;Aslam and Frooghi, 2018;Jacob and Subramoniam, 2021).…”
Section: Introductionmentioning
confidence: 99%
“…The maximum eigenvalue should be approximately equal to the dimension of the matrix. Random Index depends on the dimension of the matrix, and its values can be found in Jacob and Subramoniam [75]. The CR values were then calculated from the CI and RI values.…”
Section: Plos Onementioning
confidence: 99%
“…The final index values are then calculated using specific formulas. The score obtained from the calculation (0-100) is compared to the five-point NSFWQI rating scale excellent (91-100), good (71)(72)(73)(74)(75)(76)(77)(78)(79)(80)(81)(82)(83)(84)(85)(86)(87)(88)(89)(90), moderate (51)(52)(53)(54)(55)(56)(57)(58)(59)(60)(61)(62)(63)(64)(65)(66)(67)(68)(69)(70), low and bad (0-25), [93,94]. Another index commonly used in river assessment is the Water Pollution Index (WPI).…”
Section: Plos Onementioning
confidence: 99%