Health insurance policy renewal: an exploration of reputation, performance, and affect to understand customer inertia
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- Findingown data
Positive affect had a stronger effect on customer retention than the other constructs studied.
“Positive affect had greater impact on customer retention in comparison to other constructs.”
Quote in the paperSubstantial claim - Findingown data
In the insurance sector, company reputation, service performance, and positive/negative affect influenced customer retention.
“The findings revealed that reputation, performance, and affect influenced customer retention in insurance sector.”
Quote in the paperSubstantial claim - Findingown data
Customer inertia moderated the effect of negative affect on health insurance policy customer retention.
“Further, customer inertia was an important moderating influence on the negative affect for health insurance policy customer retention.”
Quote in the paperSubstantial claim - Findingown data
Negative affect significantly negatively influences customer retention (β=-0.125; p<0.01).
“negative affect significantly influenced the reducing trend for customer retention (β = − 0.125; p < 0.01)”
Quote in the paperSubstantial claim - Findingown data
Positive affect significantly positively influences customer retention (β=0.638; p<0.01).
“positive affect significantly influenced the growing trend for customer retention (β = 0.638; p < 0.01)”
Quote in the paperSubstantial claim
- Findingown data
Insurance service performance has a significant indirect influence on customer retention via positive and negative affect (β=0.388; p<0.01).
“High/low insurance service performance also puts forth a significant indirect influence on customer retention via positive and negative affects (βISP-PAandNA-Customer Retention = 0.388; p < 0.01).”
Quote in the paperSubstantial claim - Findingown data
Health insurance service performance has a significant negative influence on negative affect (β=-0.396; p<0.01).
“a significant negative infleunce on negative affect (β = − 0.396; p < 0.01)”
Quote in the paperSubstantial claim - Findingown data
Insurance company reputation has a significant indirect influence on customer retention through positive and negative affect (β=0.242; p<0.01).
“good/bad insurance company reputation revealed a significant influence on customer retention through positive and negative affects (βICR-PAandNA-Customer Retention = 0.242; p < 0.01).”
Quote in the paperSubstantial claim - Findingown data
Insurance company reputation has a significant positive influence on positive affect (β=0.337; p<0.01).
“the insurance company reputation has a significant positive influence on positive affect (β = 0.337; p < 0.01)”
Quote in the paperSubstantial claim - Findingown data
The absence of zeros in the bootstrapped confidence intervals substantiates partial mediation for all aforementioned relationships.
“The nonappearance of zeros in the bootstrapped CIs substantiates the existence of partial mediation for all the aforementioned relationships.”
Quote in the paperSubstantial claim - Findingown data
Health insurance service performance has a significant positive influence on positive affect (β=0.535; p<0.01).
“health insurance service performance revealed a significantly positive infleunce on positive affect (β = 0.535; p < 0.01)”
Quote in the paperSubstantial claim - Findingown data
Negative and positive affect partially mediated the link between insurance company reputation and customer retention: direct effect=0.19, indirect NA=0.17, indirect PA=0.10.
“The data analysis shows that NA and PA partially mediated the link between ICR with CR: PEDirect = 0.19, 95% confidence interval (CI) (CI 0.0868–0.2174); PEIndirect Effect (NA) = 0.17, BCa 95% (CI 0.1041–0.2215); PEIndirect Effect (PA) = 0.10, BCa 95% (CI 0.2157–0.3315).”
Quote in the paperSubstantial claim - Findingown data
Negative and positive affect partially mediated the relationship between insurance service performance and customer retention: direct effect=0.29, indirect NA=0.16, indirect PA=0.11.
“both NA and PA also reasonably mediated the relationship between ISP and CR: PEDirect = 0.29, 95% (CI 0.1814–0.3238); PEIndirect Effect (NA) = 0.16, BCa 95% (CI 0.1031–0.1924); PEIndirect Effect (PA) = 0.11, BCa 95% (CI 0.1120–0.1427).”
Quote in the paperSubstantial claim - Findingown data
Insurance company reputation has a significant negative influence on negative affect (β=-0.223; p<0.01).
“a significant negative infleunce on negative affect (β = − 0.223; p < 0.01)”
Quote in the paperSubstantial claim - Findingown data
The impact of negative affect on customer retention was significantly higher in the low customer inertia group (β=-0.186, p<0.05) than in the high customer inertia group (β=0.054, p>0.05).
“the impact of negative affect on customer retention in the low customer inertia group (βNA-customer retention = − 0.186, p < 0.05) was significantly higher than in the high customer inertia group (βNA-customer retention = 0.054, p > 0.05) (∆χ2 [1] = 4.457, p < 0.05).”
Quote in the paperSubstantial claim - Findingcitation
The empirical results from the structural analysis specified a greater impact of positive affect on customer retention than negative affect.
“our empirical results from the structural analysis specified the greater impact of positive affect on customer retention than negative affect, which may be ascribed to the multidimensional nature of insurance service (Jayasimha and Murugaiah 2008).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Jayasimha and Murugaiah 2008
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- Findingown data
More male respondents (51.8%) than female respondents (48.2%) were in the high customer inertia group.
“more male respondents (51.8%) than female respondents (48.2%) were within the high customer inertia group.”
Quote in the paperNot a substantial claim - Findingown data
Respondents in the low customer inertia group were more highly educated (77.4% with university/graduate degrees) than those in the high customer inertia group (70.6% with university/graduate degrees).
“Respondents within the low customer inertia group were more highly educated (77.4%) with university/graduate degrees than those within high customer inertia group (70.6%) with university/graduate degrees.”
Quote in the paperNot a substantial claim - Findingown data
Respondents in the high customer inertia group had a higher willingness to remain with the current insurance company (mean=6.488) than those in the low customer inertia group (mean=5.627).
“The descriptive statistical analysis presented that respondent within high customer inertia group positively unveiled a higher willingness to remain with the current insurance company (mean = 6.488) than those within the low customer inertia group (mean = 5.627).”
Quote in the paperSubstantial claim - Premisecitation
The reluctance to change service provider has been attributed to customer inertia.
“The reluctance to change service provider has been attributed to customer inertia (Bawa 1990; Meidan 1996; Panther and Farquhar 2004; White and Yanamandram 2004).”
Quote in the paperSubstantial claim0 of 3 sources checked - Premisecitation
The role of customer inertia in financial services has not been much researched with respect to customer switching behavior.
“Despite its proven relevance and significance in service domain, the role of customer inertia in the context of financial services has not been much researched with respect to customer switching behavior (Thaichon et al. 2017).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Thaichon et al. 2017 source
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- Premisecitation
Intense competition in the health insurance segment leads customers to switch service providers.
“However, the intense competition in the health insurance segment is of great concern for any insurance player as it leads to customer’s switching service providers (Christiansen et al. 2016; Dominique-Ferreira 2017).”
Quote in the paperNot a substantial claim0 of 2 sources checked - Premisecitation
Several studies stressed the relevance of financial service company's reputation/image, service quality performance, fairness, and affective experiences as strategic factors in explaining customer retention, repurchase intentions and loyalty.
“Several studies have stressed the relevance of financial service company’s reputation/image (Boyle 1996; Worcester 1997; Devlin 1997; Nguyen and LeBlanc 2002; Wang et al. 2003), service quality performance (Siddiqui and Sharma 2010; Tsoukatos and Rand 2006), fairness (Page and Fearn 2005) and affective experiences (Hellier et al. 2003; Taylor 2001) as strategic factors in explaining customer reten”
Quote in the paperSubstantial claim0 of 3 sources checked - Premisecitation
Customer switching negatively affects companies' market share and profitability.
“Customer switching has negative consequences on companies’ market share and profitability (Ganesh et al. 2000).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Ganesh et al. 2000 source
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- Premisecitation
Retaining existing customers is crucial for health insurance policy renewal, especially in the Indian market.
“The retention of existing customers is crucial for any health insurance policy renewal especially in Indian market (Meesala and Paul 2018; Panda et al. 2016).”
Quote in the paperSubstantial claim0 of 2 sources checked - Premisecitation
Consumer inertia has a moderating distinction that impacts customer retention and potential behavioral antecedents such as satisfaction, regret, or disappointment.
“Disparate to other research constructs directly or indirectly influencing customer retention, consumer inertia embraces a moderating distinction that impacts the customer retention and potential behavioral antecedents such as satisfaction, regret, or disappointment (Ghose and Lowengart 2013; Oliver 1997).”
Quote in the paperSubstantial claim0 of 2 sources checked- cites Ghose and Lowengart 2013 source
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- cites Oliver 1997
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- Interpretationcitation
Continuous improvement and stable insurance service delivery (claim settlement) is the cornerstone for health insurance policy renewal in the Indian market.
“Thus, we can ascertain the continous improvement and stable insurance service delivery (i.e., claim settlement) is the cornerstone for health insurance policy renewal in the Indian market (Kautish and Rastogi 2008; Khare et al. 2012).”
Quote in the paperSubstantial claim0 of 2 sources checked- cites Kautish and Rastogi 2008
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- cites Khare et al. 2012 source
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- Study design and conductown data
The metric model constraining loadings to be equal across samples did not have significantly inferior fit (χ2diff(7)=5.07, p<0.65).
“The metric model (Model 2) constrained loadings to be the same across samples and it did not have a significantly inferior fit (χ2diff (7) = 5.07, p < 0.65).”
Quote in the paperSubstantial claim - Study design and conductown data
Grouping into high and low inertia was confirmed based on K-means cluster exploration.
“Initially, a grouping was confirmed based on the findings of K-means cluster exploration.”
Quote in the paperSubstantial claim - Study design and conductown data
Discriminant validity was ensured because all AVE values were larger than correlations, MSV, and ASV.
“as all AVE values were larger than the correlation (squared) between variables, maximum shared variance (MSV) and average shared variance (ASV) which ensure discriminant validity (Fornell and Larcker 1981).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Fornell and Larcker 1981 source
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- Study design and conductcitation
Factor loadings for each scale item were acceptable and above the recommended threshold of 0.60.
“Table 1 provides the details about acceptable factor loadings for each scale item of all constructs and more than the recommended threshold of 0.60 (Hair et al. 2014).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Hair et al. 2014
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- Study design and conductown data
The baseline model for moderation had satisfactory fit (χ2=452.459; df=235; χ2/df=2.048; p<0.001; CFI=0.953; IFI=0.954; TLI=0.948; RMSEA=0.065).
“the baseline model was found to have a satisfactory model fit (χ2 = 452.459; df = 235, χ2/df = 2.048; p < 0.001, CFI = 0.953; IFI = 0.954; TLI = 0.948; RMSEA = 0.065).”
Quote in the paperSubstantial claim - Study design and conductown data
The structural model had satisfactory goodness-of-fit statistics (χ2=272.219; df=113; χ2/df=2.409; p=0.001; CFI=0.967; IFI=0.968; TLI=0.958; RMSEA=0.080).
“The structural model revealed a satisfactory level of goodness-of-fit statistics (χ2 = 272.219; df = 113; χ2/df = 2.409; p = 0.001; CFI = 0.967; IFI = 0.968, TLI = 0.958; RMSEA = 0.080).”
Quote in the paperSubstantial claim - Study design and conductown data
The measurement model had satisfactory goodness-of-fit statistics (χ2=265.069; df=136; χ2/df=1.949; p=0.001; CFI=0.974; IFI=0.973; TLI=0.968; RMSEA=0.066).
“The results from the study indicated that the models’ goodness-of-fit statistics was satisfactory (χ2 = 265.069; df = 136; χ2/df = 1.949; p = 0.001; CFI = 0.974; IFI = 0.973; TLI = 0.968; RMSEA = 0.066).”
Quote in the paperSubstantial claim - Interpretationcitation
The findings are in tandem with research assertion that positive experiences under certain situations/conditions generate a stronger customer response than negative experiences.
“the findings are in tandem with research assertion that positive experiences under certain situations/conditions generate a stronger customer response than negative experiences (Kautish and Rastogi 2008; Oliver 1992; Westbrook and Oliver 1991).”
Quote in the paperNot a substantial claim0 of 3 sources checked- cites Kautish and Rastogi 2008
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- cites Oliver 1992
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- cites Westbrook and Oliver 1991 source
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- Interpretationown data
The usability of these theories developed in western culture can be used in a developing country context.
“It asserts the usability of these theories that had been developed in western culture to be used in developing country context.”
Quote in the paperSubstantial claim- Rests on an assumption: There was a dearth of studies on customer inertia in the health insurance sector, especially in emerging market contexts.
- Interpretationown data
When policy holders perceive many other health plans fulfill their needs and are too indifferent to change, this indifference determines their desire to continue with the service provider even with negative affective service experiences.
“That is, when policy holders perceive that, compared with the existing health plan, there are many other health plans that fulfill their specific needs and that they are too indifferent to change. The indifference to find a better financial alternative determines policy holders desire to continue with service provider, even they have negative affective service experiences.”
Quote in the paperSubstantial claim
- May combine two claims. 30
- The quote only partly states this claim. 1
- Classified as probably not a substantial claim. 55
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Findingown dataThe structural model accounted for 49.8% of variance in customer retention, 65.3% in positive affect, and 33.6% in negative affect.
“the suggested model adequately accounted for the total variance in customer retention (R2 = 0.498) and positive and negative affect as well-accounted (R2 = 0.653) and (R2 = 0.336), respectively”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataThe total effect on customer retention was highest for positive affect (β=0.638), followed by insurance service performance (β=0.388), insurance company reputation (β=0.242), and negative affect (β=-0.127).
“the positive affect (β = 0.638) comprised the highest total impact on customer retention, followed by high/low insurance service performance (β = 0.388), good/bad insurance company reputation (β = 0.242), and negative affect (β = − 0.127).”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataThere was a significant difference in the relationship between negative affect and customer retention across inertia groups (∆χ2[1]=4.457; p<0.05); hypothesis 7b was accepted.
“it revealed a significant difference in the relationship between negative affect and customer retention (∆χ2 [1] = 4.457; p < 0.05) so the hypothesis 7b was accepted.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataThere was no statistical difference in the relationship between positive affect and customer retention across inertia groups (∆χ2[1]=3.540; p>0.05); hypothesis 7a was not accepted.
“there was no statistical difference in the hypothesized relationship between positive affect and customer retention (∆χ2 [1] = 3.540; p > 0.05) which substantiate the previous results (Al-Weshah 2017). Hence, the hypothesis 7a was not accepted.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Al-Weshah 2017
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Findingown dataPositive affect emerged as the most critical contributor to customer retention in the insurance sector, followed by insurance service performance, company reputation, and negative affect.
“positive affect emerged as the most critical contributor to customer retention in the insurance sector, followed by the insurance service performance, company reputation, and negative affect at the last.”
Quote in the paperSubstantial claimThe quote only partly states this claim.
Findingown dataIndependent sample t tests revealed significant differences at the 0.01 level between male and highly educated respondents in expressing inertia.
“we conducted the independent sample t tests. The results revealed that the t values were significant at the 0.01 level.”
Quote in the paperSubstantial claimClassified as probably not a substantial claim. May combine two claims.
PremisecitationFavorable or positive emotion/affect or behavioral intentions influence customer retention, and customers are less likely to switch to another service provider.
“Favorable or positive emotion/affect or behavioral intentions influence customer retention, and customers are less likely a switch to another service provider (Burnham et al. 2003; Colgate and Hedge 2001; Jones et al. 2007).”
Quote in the paperSubstantial claim0 of 3 sources checkedProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationCompany reputation is positively correlated with customer gratification and loyalty toward a service.
“Andreassen and Lindestad (1998a) found that company reputation is positively correlated with customer’s gratification and loyalty toward the service.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Andreassen and Lindestad (1998a)
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PremisecitationIn services, perceptions of corporate reputation and image influence customer commitment and loyalty.
“In case of services, the perceptions of corporate reputation and image influence customer commitment and loyalty (Nguyen and LeBlanc 2001).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Nguyen and LeBlanc 2001 source
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PremisecitationIn service marketing, inertia explains customer resistance or barriers to switching and facilitates loyalty.
“Nevertheless, the broad consensus among researchers is that inertia explains customer’s resistance or barriers to switch and is a loyalty facilitator in service marketing (Chen and Wang 2009; Oliver 1999).”
Quote in the paperSubstantial claim0 of 2 sources checkedProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationIn mature markets like financial services, customer retention provides a number of intrinsic benefits to firms.
“In mature markets like financial services, customer retention provides a number of intrinsic benefits to the firms (Harrison and Ansell 2002; Pickett et al. 2017).”
Quote in the paperNot a substantial claim0 of 2 sources checkedProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationMost Indians feel health insurance is an unnecessary expense because health-related problems are not given serious thought except during situations like the COVID-19 pandemic.
“Most Indians feel it an unnecessary expense because health-related problems are not given a serious thought barring situation like COVID-19 pandemic (ET 2020; FE 2020).”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites ET 2020
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- cites FE 2020
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PremisecitationSwitching costs are diverse and multidimensional.
“Recent studies have revealed that switching costs are diverse and multidimensional in nature (Barroso and Picón 2012; Gremler et al. 2020; Kuo 2020).”
Quote in the paperNot a substantial claim0 of 3 sources checkedProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationThe Indian health insurance sector is either state funded or publicly funded, so insurance schemes do not totally mitigate inequitable access to health services in a private health care delivery market.
“The Indian health insurance sector is either state funded or publicly funded, thus insurance schemes do not totally mitigate inequitable access to health services in a private health care delivery market (Sodhi and Rabbani 2014).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Sodhi and Rabbani 2014
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PremisecitationIn India, access to good health insurance services is limited to higher income groups due to lack of awareness, income disparity, individualistic slackness, and paucity of government support.
“On the contrary, in India, the accessibility to good health insurance services is limited to higher income groups due to lack of awareness, income disparity, individualistic slackness, paucity of government support etc. (Chakrabarti and Shankar 2015).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Chakrabarti and Shankar 2015 source
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PremisecitationInertia can be divided into cognitive inertia and affective inertia.
“Moreover, inertia can be divided into two distinct measures: first, cognitive inertia and second, affective inertia (Greenfield 2005; Polites and Karahanna 2012).”
Quote in the paperNot a substantial claim0 of 2 sources checkedClassified as probably not a substantial claim.
PremisecitationWhen perceived switching costs rise, customers are unlikely to change service providers at least in the short term.
“As the perceived switching costs escalate, at least in the short period of time customers are unlikely to alter the service providers (Ranaweera and Prabhu 2003).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Ranaweera and Prabhu 2003 source
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PremisecitationSwitching costs hold customers in business relationships regardless of their satisfaction with the service provider.
“The switching costs are acknowledged as a means for holding customers in business relationships, irrespective of their level of satisfaction with the service provider (Bansal et al. 2004; 2005; Burnham et al. 2003; Jones et al. 2002).”
Quote in the paperNot a substantial claim0 of 3 sources checkedClassified as probably not a substantial claim.
PremisecitationPositive and negative affect and their relationship congruence with other cognitive variables influence customer retention and satisfaction.
“The positive and negative affect and the relationship congruence of these affects with other cognitive variables (i.e., firm reputation, service performance, and customer value) influence customer retention and satisfaction (Mano and Oliver 1993; Oliver 1993; Westbrook and Oliver 1991).”
Quote in the paperSubstantial claim0 of 3 sources checkedProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationInertia has a negative impact on the intention to change service providers.
“Gray et al (2017) confirmed that inertia has a negative impact on the intention to change service providers but does not provide any evidence on its effect on the actual behavior to switch service providers.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Gray et al (2017) source
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PremisecitationBurnham et al. recognized three dimensions of switching costs: procedural, relational and financial.
“Burnham et al (2003) recognized three dimensions of switching costs, each with a few subcategories, i.e., procedural, relational and financial.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Burnham et al (2003) source
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PremisecitationCorporations with higher reputation are linked with superior customer loyalty, higher customer satisfaction, and retention.
“Corporations with higher reputation were linked with superior customer loyalty (Bartikowski et al. 2011), higher customer satisfaction (Walsh and Beatty 2007; Walsh et al. 2009), and retention (Bartikowski and Walsh 2011).”
Quote in the paperNot a substantial claim0 of 3 sources checkedClassified as probably not a substantial claim. May combine two claims.
PremisecitationHigher perceived switching costs make changing service providers costly and create customer dependency on the provider.
“Increased level of perceived switching costs makes altering service providers costly and ensures a dependency of the customer on the service provider (Ruyter et al. 1998; Weerahandi and Moitra 1995).”
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PremisecitationFinancial services performance is influenced by trust, image and reputation of the service provider.
“In addition, financial services performance is influenced by trust, image and reputation of the service provider (Macintosh 2009; Nienaber et al. 2014).”
Quote in the paperNot a substantial claim0 of 2 sources checkedProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationInert customers are more likely to respond to marketing activities like promotions and discounts.
“The inert customers are more likely to respond to various marketing activities like promotions and discounts (Huang and Yu 1999).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Huang and Yu 1999 source
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PremisecitationCommon negligence toward primary health services, lack of awareness about health issues, poor accessibility to medical facilities in smaller cities, and cost of medical checkups creates inertia, disengagement and disinterest toward health programs or medical insurance.
“Therefore, the common negligence toward primary health services, lack of awareness about health issues, poor accessibility to medical facilities in smaller cities, and cost of medical checkups creates an inertia, disengagement and disinterest toward health programs or medical insurance (Sodhi and Rabbani 2014).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Sodhi and Rabbani 2014
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PremisecitationCustomer inertia originated from the Status Quo Bias theoretical framework.
“The customer inertia originated from the Status Quo Bias (SQB) theoretical framework (Masatlioglu and Ok 2005; Samuelson and Zeckhauser 1988).”
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PremisecitationThe switching costs for insurance services include search costs, habit, learning, inertia, and transaction costs.
“The switching costs for insurance services include–search costs (the costs of time invested in searching for the information about claims settlement), habit (investment oriented behavior), learning (financial strength of the insurance company), inertia, costs of transaction in terms of contractual and continuity (the costs of time and effort desired for price bargain and administrative charges) as”
Quote in the paperNot a substantial claim0 of 3 sources checkedClassified as probably not a substantial claim.
PremisecitationCustomers prefer to stay with the existing service provider instead of exploring new options.
“Thus, the customers prefer to stay with the existing service provider instead of exploring new options (Bodet 2008; Bozzo 2002; Picón et al. 2014).”
Quote in the paperSubstantial claim0 of 3 sources checkedMay combine two claims.
Study design and conductown dataAVE values ranged from 0.599 to 0.947 and all were above 0.50, confirming convergent validity.
“The AVE values ranged from 0.599 to 0.947 and all values were more than 0.50, thus the convergent validity was confirmed.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationFinancial services customers with higher inertia are likely to purchase a specific service repeatedly.
“Financial services customers experiencing higher degree of inertia are likely to purchase a specific service repeatedly (Colgate and Lang 2001).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Colgate and Lang 2001 source
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Study design and conductown dataNon-response bias test compared early and late responses; no significant differences at the 0.05 level, confirming absence of significant non-respondent bias.
“No significant differences between early and late groups were reported (0.05 level), confirming the absence of significant non-respondent bias.”
Quote in the paperNot a substantial claim- The authors state this as an assumption: Late respondents are likely to be similar to non-respondents.
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationInertia leads to customer retention but influences positive or negative word of mouth.
“Lee and Neale (2012) related switching costs to customer inertia. They found that while inertia led to customer retention, it influenced positive or negative word of mouth.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Lee and Neale (2012) source
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PremisecitationValue with respect to insurance services comprises firms, staff or agent and the insurance policy.
“Steiner and Maas (2018) described that value with respect to insurance services comprises of firms, staff or agent and the insurance policy.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Steiner and Maas (2018) source
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Study design and conductown dataKMO value was 0.812 and Bartlett's test of sphericity was significant.
“The KMO value was 0.812, and Bartlett’s test of sphericity value was also found to be significant.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductnone givenSamples were randomly chosen from two private health insurance companies' databases.
“The samples were randomly chosen with the help of two private health insurance companies’ database.”
Quote in the paperNot a substantial claimMay combine two claims.
Study design and conductown dataThe configural model fit was adequate for high inertia (RMSEA=0.06, CFI=0.95, TLI=0.96) and low inertia (RMSEA=0.05, CFI=0.96, TLI=0.97).
“The baseline or configural model (Model 1) fit statistics for high customer inertia was as follows: RMSEA = 0.06 (0.03, 0.08), CFI = 0.95, and TLI = 0.96 and for low customer inertia was as follows: RMSEA = 0.05 (0.04, 0.08), CFI = 0.96, and TLI = 0.97.”
Quote in the paperSubstantial claimMay combine two claims.
Interpretationown dataThe study demonstrates support for expectation disconfirmation theory, economic cost models of consumer behavior, and exploratory buyer behavior in explaining marketing relationships among Indian consumers and health insurance service providers.
“it demonstrates the support for expectation disconfirmation theory (EDT), economic cost models of consumer behavior and exploratory buyer behavior in explaining the marketing relationships that took place among Indian consumers and health insurance service providers in the market.”
Quote in the paperSubstantial claim- Rests on an assumption: There was a dearth of studies on customer inertia in the health insurance sector, especially in emerging market contexts.
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationThe first perspective on customer inertia is associated with lack of attractive alternatives, and the second describes inertia as a function of customers' passivity, inactivity, and non-conspicuousness.
“The first perspective on customer inertia has been associated with lack of attractive alternatives (Bozzo 2002; Colgate and Lang 2001) and the second described inertia as a function of customers’ passivity, inactivity, and non-conspicuousness (White and Yanamandram 2007).”
Quote in the paperNot a substantial claim0 of 3 sources checkedClassified as probably not a substantial claim.
Study design and conductown dataMeasurement invariance analyses were conducted for high customer inertia (n=82) and low customer inertia (n=146) groups.
“Prior to structural invariance, measurement invariance was carried out invariance analyses for high customer inertia (n = 82) and low customer inertia (n = 146) groups.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationThe approach to avoid change and choosing to remain with current service provider suggests a behavioral lock-in effect.
“The approach to avoid change and choosing to remain with current service provider suggests a behavioral lock-in effect (Barnes et al. 2004).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Barnes et al. 2004 source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationWhenever insurance customers wish to change service providers, they incur higher search costs and transaction costs.
“Whenever insurance customers wish to change service providers, they have to incur higher search costs as well as transaction costs (Kautish and Rastogi 2008).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Kautish and Rastogi 2008
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationCustomers believe searching for new alternatives is time consuming, bothersome, and labor intensive.
“They believe that searching for new alternatives is time consuming, bothering, and labor intensive (Yanamandram and White 2006).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Yanamandram and White 2006 source
Not checked in the free run.
Classified as probably not a substantial claim.
PremisecitationCustomers may avoid switching even when circumstances are conducive to changing service provider in terms of fairness and trust.
“Carter et al’s (2016) qualitative study on switching behavior and inertia revealed that the customer may avoid switching even when circumstances are conducive to changing service provider in terms of fairness and trust.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Carter et al. 2016 source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationWhether word of mouth is favorable or unfavorable depends on whether customer inertia stems from satisfaction or lack of interest.
“Favorable or unfavorable word of mouth depends on whether customer inertia stems from the satisfaction or lack of interest.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Study design and conductown dataOf 400 email requests, 285 responses were received and 228 were used in data analysis.
“Total 400 e-mails requests sent to the policy holders to fill the questionnaire, a total of 285 received out of which 228 were utilized in the data analysis.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationA few studies on health insurance have employed inertia to describe stickiness to alternatives with certain risk levels.
“A few studies on health insurance have employed inertia to describe the stickiness to the alternatives with certain risk levels (Handel 2013; Handel and Kolstad 2015).”
Quote in the paperNot a substantial claim0 of 2 sources checkedProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Study design and conductown dataThe measurement instrument was pre-tested with two service marketing professors and four health insurance company managers, and feedback on language and content was used.
“The measurement instrument was pre-tested and on the basis of feedback received about language and content from two service marketing professors and four health insurance company managers.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationCustomer expectations, reputation and availability of information influence buying decision in business insurance services.
“Yoon et al (1993) in their research on business insurance services posited that customer expectations, reputation and availability of information influence buying decision.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Yoon et al (1993) source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationTwo different perspectives emerge in explaining customer inertia as classification of switching barriers.
“In the service marketing literature, two different perspectives emerge in explaining customer inertia as classification of switching barriers (Patterson and Smith 2003; White and Yanamandram 2004; Yanamandram and White 2006).”
Quote in the paperNot a substantial claim0 of 3 sources checkedProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationInertia affects customers' evaluations of alternatives, and customers with higher inertia do not consider alternative service providers even when they are dissatisfied.
“Thus, inertia has an impact on customer’s evaluations of alternatives and the customers prone to higher levels of inertia do not consider choosing alternative service providers even when they are dissatisfied (Lee 2019).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Lee 2019 source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationCustomers' product or service consumption situations evoke positive and negative emotion.
“It is widely acknowledged that customers’ product or service consumption situations evoke positive and negative emotion (Oliver 1997).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Oliver 1997
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationCustomers' perceptions about bank image and reputation influenced loyalty, while satisfaction affected loyalty more than perception of bank's image.
“Customers’ perceptions about bank image and reputation influenced loyalty, while satisfaction affected loyalty more than perception of bank’s image.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Nguyen and LeBlanc (1998) source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationStrong empirical evidence exists to explain the persistence of inertia in investment decision making.
“At the same time, strong empirical evidence exists to explain the persistence of inertia in investment decision making (Auger et al. 2016).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Auger et al. 2016 source
Not checked in the free run.
Classified as probably not a substantial claim. May combine two claims.
PremisecitationInertia has direct and moderating effects on service provider switching intentions, though not necessarily on the behavior of changing service providers.
“The research suggested that inertia had direct and moderating effects on service provider switching intentions, though not necessarily the behavior of changing service providers (Gray et al. 2017; Lai et al. 2011).”
Quote in the paperSubstantial claim0 of 2 sources checked- cites Gray et al. 2017 source
Not checked in the free run.
- cites Lai et al. 2011
Not checked in the free run.
May combine two claims.
Study design and conductown dataComposite reliability values ranged from 0.787 to 0.985 and all exceeded 0.70, confirming internal consistency.
“the results revealed that the CR values ranged from 0.787 to 0.985 (Hair et al. 2014). Table 1 shows that all the CR values exceeded the threshold value of 0.70; hence it confirms the internal consistency among the scale items of each variable (Hair et al. 2014).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Hair et al. 2014
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationThe competence and benevolence attitudes of service staff affect customers' perception of reputation of financial service firms.
“Nguyen (2010) highlighted the importance of competence and benevolence attitudes of service staff on customers’ perception of reputation of financial service firms.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Nguyen (2010) source
Not checked in the free run.
Classified as probably not a substantial claim. May combine two claims.
PremisecitationCognitive inertia denotes conscious sticking to the status quo despite being aware it might not be the best option, while affective inertia characterizes sticking to the status quo because other options are observed as difficult to acquire.
“The cognitive inertia denotes as conscious sticking to the status quo, despite being aware of that it might not be the best option to choose, while affective inertia characterizes as sticking to the status quo because other options are observed as being difficult to acquire (Greenfield 2005; Handel 2013).”
Quote in the paperSubstantial claim0 of 2 sources checkedProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationFirms having customers who feel succumbed to other providers are likely to lead to negative word of mouth, less ability to cross-sell, lower acceptance of new products, and other negative outcomes associated with customer defection.
“firms having customers who feel succumbed to other providers are likely to lead to negative word of mouth, less ability to cross-sell, lower acceptance of new products, and other negative outcomes associated with customer defection (Colgate and Lang 2001, p. 343).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Colgate and Lang 2001 source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationGaining repeat business by retaining existing customers seems to be a requirement for any financial services company survival.
“In a firmly competitive environment like insurance, gaining repeat business by retaining existing customers seems to be a requirement for any financial services company survival (Chen and Wang 2009; Williams and Williams 2015).”
Quote in the paperNot a substantial claim0 of 2 sources checkedProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationCustomer retention has long been considered a powerful force influencing insurance service business success.
“Customer retention has long been considered as a powerful force influencing insurance service business success (Ansell et al. 2007).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Ansell et al. 2007 source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationService quality (e.g., reliability and responsiveness) are key factors that effectively evoke insurance customers' affective/satisfaction evaluation.
“Ramamoorthy et al.’s (2018) indicated that service quality (e.g., reliability and responsiveness) are key factors that effectively evoke insurance customers’ affective/satisfaction evaluation.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Ramamoorthy et al. 2018 source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationCustomer attraction costs are higher than retention costs in services.
“It is often argued that customer attraction costs are higher than retention costs in services (Eisingerich and Bell 2006; Ennew and Binks 1996).”
Quote in the paperNot a substantial claim0 of 2 sources checkedProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductnone givenThe research employs cross-sectional data to test the hypotheses.
“this research employs cross-sectional data to test the hypotheses”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductnone givenThe research did not examine the impact of demographic factors (age, income, occupation, marital status) in the conceptual model.
“the research has not examined the impact of demographic factors, e.g., age, income, occupation, and marital status in the conceptual model”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim.
PremisecitationThe outcome of one's perceived losses tends to be more eminent than the impact of his/her perceived gains.
“The loss aversion put together into the prospect theory postulates that the outcome of one’s perceived losses tends to be more eminent than the impact of his/her perceived gains (Einhorn and Hogarth 1981; Slovic et al. 1977).”
Quote in the paperSubstantial claim0 of 2 sources checkedClassified as probably not a substantial claim.
Study design and conductnone givenThe study is restricted to exploring the influence of insurance company reputation, insurance service performance, positive and negative affects, and their impact on customer retention with moderation of customer inertia.
“This study is restricted to the exploration of the influence of insurance company reputation, insurance service performance, positive and negative affects, and their impact on customer retention with moderation of customer inertia.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductnone givenData were collected from health policy holders from one insurance company through a questionnaire-based survey only.
“the data were collected from health policy holders from one insurance company through questionnaire-based survey only.”
Quote in the paperNot a substantial claim
The authors state this as an assumption.
Corporate reputation reduces service switching, and performance is an antecedent of customer satisfaction that also reduces switching behavior.
“The current study assumed that corporate reputation reduces service switching; the performance is an antecedent of customer satisfaction which also reduces switching behavior.”
The paper relies on this without support.
Customer inertia has not been much studied in light of company reputation, performance, and positive and negative affect in the health insurance milieu.
“Customer inertia has not been much studied in light of company reputation, performance, and positive and negative affect in the health insurance milieu.”
The paper relies on this without support.
The present study is the first of its kind to investigate customer inertia in the health insurance sector in an emerging market context, India.
“To the best of our knowledge, the present study is the first of its kind that attempts to investigate customer inertia in the health insurance sector in an emerging market context, i.e., India.”
The paper relies on this without support.
Most studies investigated these variables separately and did not investigate their impact on loyalty.
“Most studies investigated these variables separately and did not investigate their impact on loyalty.”
The authors state this as an assumption.
Switching costs play a decisive role in determining whether the health insurance policy holder decides to stay or exit from their service provider.
“It is anticipated that switching costs play a decisive role in determining whether the health insurance policy holder decides to stay (retained the existing policy) or exit (switched the insurance provider) from their respective service provider.”
The paper relies on this without support.
There was a dearth of studies on customer inertia in the health insurance sector, especially in emerging market contexts.
“Nevertheless, there was a dearth of studies on customer inertia in the health insurance sector especially in emerging market context.”
The paper relies on this without support.
The convoluted associations of these factors have never been explored in the insurance segment.
“The convoluted associations of these factors have never been explored in the insurance segment.”
The paper relies on this without support.
Indian life and medical insurance is governed by inertia due to difficulty in evaluating service dimensions, lack of awareness, and lack of commitment toward health issues.
“Indian life and medical insurance is governed by inertia not only because of difficulty in evaluating service dimensions, but also by lack of awareness and commitment toward health issues.”
The authors state this as an assumption.
Late respondents are likely to be similar to non-respondents.
“under the assumption that those who responded later were likely to be similar to non-respondents.”
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
Each contradiction between two passages listed here was confirmed by an independent check.
Positive-affect mediation estimate falls outside its confidence interval
MajorThe reported indirect-effect estimate is 0.10, but its stated 95% confidence interval runs from 0.2157 to 0.3315. The estimate cannot lie outside its own reported interval.
“PEIndirect Effect (PA) = 0.10”
“BCa 95% (CI 0.2157–0.3315)”
Number of companies used for sampling conflicts
MinorThe methods say respondents were sampled using databases from two private insurers, whereas the limitations say the data came from policyholders of one insurer.
“The samples were randomly chosen with the help of two private health insurance companies’ database.”
“the data were collected from health policy holders from one insurance company through questionnaire-based survey only.”
Baseline model chi-square ratio is incorrect
MinorDividing the reported chi-square by its degrees of freedom gives about 1.925, not 2.048.
Reported 2.048 · recomputed 1.925357
“χ2 = 452.459; df = 235, χ2/df = 2.048”
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Chand, K., Chandel, A., Tiwari, R., & Chauhan, A. S. (2024) · Emerald Group Publishing Limited eBooks · doi:10.1108/978-1-83608-582-920241025
Individual’s Choice on Buying Life Insurance Products in Nepal
Adhikari, R. (2024) · Nepalese Journal of Finance. · doi:10.3126/njf.v11i2.68819 · Cited by 1 · see citing works
- Authors
- Kautish, P., Khare, A., & Sharma, R.
- Affiliations
- Nirma University (IN)
- University of Allahabad (IN)
- Symbiosis International University (IN)
- Corresponding author
- Kautish, Pradeep
- Venue
- Journal of Marketing Analytics
- Published
- 2021-09-04
- Volume
- 10
- Issue
- 3
- Pages
- 261-278
- ISSN
- 2050-3318 (ISSN-L)
- 2050-3326
- PMC
- PMC8417621
- OpenAlex
- W3197379184
- Cited by
- 25
- References
- 192
- Citations by year
- 2026: 2 · 2025: 3 · 2024: 9 · 2023: 7 · 2022: 4
- FWCI
- 4.85
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- Locations
- Journal of Marketing Analytics (publishedVersion)
- PubMed Central (publishedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- Funders
- Nirma University
- Topics
- Social Sciences › Business, Management and Accounting › Organizational Behavior and Human Resource Management › Customer Service Quality and Loyalty
- Social Sciences › Business, Management and Accounting › Marketing › Customer churn and segmentation
- Social Sciences › Business, Management and Accounting › Marketing › Consumer Behavior and Marketing Influence
- Keywords
- health insurance, policy renewal, customer inertia, customer retention, insurance company performance, positive affect, negative affect, moderating effect, emerging markets, India
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