SPSS AMOS INVARIANCE ANALYSIS ACROSS CULTURES CASE STUDY

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SPSS AMOS INVARIANCE ANALYSIS ACROSS CULTURES CASE STUDY: INTERNET BANKING ACCEPTANCE Bander Al. Sajjan

SPSS AMOS INVARIANCE ANALYSIS ACROSS CULTURES CASE STUDY: INTERNET BANKING ACCEPTANCE Bander Al. Sajjan and CHARLES DENNIS

AGENDA • Importance of Internet Banking • Theory of Reasoned Action • Technology acceptance

AGENDA • Importance of Internet Banking • Theory of Reasoned Action • Technology acceptance models • Theory of Planned Behaviour • Cross-cultural comparison • Conclusions

INTERNET BANKING (IB) • Banking is a natural service for the Internet: – Intangible

INTERNET BANKING (IB) • Banking is a natural service for the Internet: – Intangible – Information-based • 85 % of UK bank customers use IB • Take-up is slow in many countries • Saudi Arabia is 25 th ranked country by GDP • Only 20 % of Saudi Arabia’s bank customers use IB (Grais & Kantur, 2003)

THEORY OF REASONED ACTION (TRA) • ‘Simple basis for identifying how to target consumers’

THEORY OF REASONED ACTION (TRA) • ‘Simple basis for identifying how to target consumers’ behaviour change attempts’ (Sheppard et al, 1988) • Peoples behaviour is governed by: – Attitudes – Social factors and – Intention towards performing the behaviour (Ajzen & Fishbein, 1980)

TECHNOLOGY ACCEPTANCE MODEL • Models adoption of IS in the workplace • Users do

TECHNOLOGY ACCEPTANCE MODEL • Models adoption of IS in the workplace • Users do not use a system for its own sake but rather: – Evaluate the benefits and expect a certain utility – Less the disutility of using the system • TAM refers to these as: – Usefulness – Ease of use (EOU) (Davis, 1989)

PERCEIVED USEFULNESS • Perceived usefulness affects attitudes and intentions (Shih & Fang, 2004) H

PERCEIVED USEFULNESS • Perceived usefulness affects attitudes and intentions (Shih & Fang, 2004) H 1 Perceived usefulness has a positive effect on attitudinal intention

Improves banking performance Easier to conduct banking Useful for banking transactions Perceived Usefulness

Improves banking performance Easier to conduct banking Useful for banking transactions Perceived Usefulness

ATTITUDINAL INTENTIONS • Intentions have two components – Positive evaluation of the behaviour and

ATTITUDINAL INTENTIONS • Intentions have two components – Positive evaluation of the behaviour and – Facilitating conditions – equivalent to Perceived Behavioural Control (PBC) from the Theory of Planned Behaviour – or Perceived ease of use (from TAM) (Venkatesh et al, 2003) • Analogous to loyalty: – Attitudinal loyalty – the preference vs – Behavioural loyalty – subject to external constraints (Beerli et al, 2004)

ATTITUDINAL INTENTIONS • Positive evaluation and attitude are conceptually equivalent, which we term: Attitudinal

ATTITUDINAL INTENTIONS • Positive evaluation and attitude are conceptually equivalent, which we term: Attitudinal Intentions

PERCEIVED MANAGEABILITY • Attitude and social factors cannot be the sole determinants of behaviour

PERCEIVED MANAGEABILITY • Attitude and social factors cannot be the sole determinants of behaviour when control is incomplete • Theory of Planned Behaviour (TPB) aims to improve on TRA by adding ‘perceived behavioural control (PBC)’ (Ajzen, 1991) • PBC is equivalent to computer ‘self efficacy’ (Argarwal et al, 2000) • We combine these concepts as ‘Perceived Manageability’

PERCEIVED MANAGEABILITY • Perceived ease of use (PEOU) operates mainly through perceived usefulness (Ha

PERCEIVED MANAGEABILITY • Perceived ease of use (PEOU) operates mainly through perceived usefulness (Ha & Stoel, 2008) H 2 Perceived manageability has a positive effect on users’ perceived usefulness • PEOU affects trust (Gefen et al, 2003) H 3 Perceived manageability has a positive effect on users’ users trust

TRUST

TRUST

TRUST A willingness to rely on an exchange partner in whom one has confidence

TRUST A willingness to rely on an exchange partner in whom one has confidence (Moorman et al, 1992) • Trust is central to e-commerce intentions (Fortin et al, 2002) • Lack of trust is an obstacle to e-commerce intentions (Liu et al, 2004)

TRUST

TRUST

TRUST A willingness to rely on an exchange partner in whom one has confidence

TRUST A willingness to rely on an exchange partner in whom one has confidence (Moorman et al, 1992) • Trust is central to e-commerce intentions and attitudes (Fortin et al, 2002; Pavlou, 2003) • Lack of trust is an obstacle to e-commerce intentions (Liu et al, 2004) H 4 Trust has a positive effect on users’ attitudinal intentions towards IB

TRUST • At higher levels of trust, customers perceive a website as more useful

TRUST • At higher levels of trust, customers perceive a website as more useful (Stewart, 2003) H 5 Trust has a positive effect on users’ perceived usefulness

SOCIAL FACTORS • ‘Subjective norms’ also influence intentions – Belief that important others dictate

SOCIAL FACTORS • ‘Subjective norms’ also influence intentions – Belief that important others dictate whether one should eshop – Motivation to comply with important others

SUBJECTIVE NORMS (SN) • The effect of SN tends to be fully mediated (Vankatesh

SUBJECTIVE NORMS (SN) • The effect of SN tends to be fully mediated (Vankatesh & Davies, 2000) • As a social force, we argue that SN acts through a social belief - trust H 6 SN has a positive effect on users’ trust

SUBJECTIVE NORMS (SN) • Important others influence perceptions about manageability ‘I will give it

SUBJECTIVE NORMS (SN) • Important others influence perceptions about manageability ‘I will give it a try if my significant other says that it’s easy to do’ H 7 SN has a positive effect on users’ perceived manageability

Perceived Manageability H 2 Perceived Usefulness H 1 H 3 H 5 Attitudinal Intentions

Perceived Manageability H 2 Perceived Usefulness H 1 H 3 H 5 Attitudinal Intentions H 7 H 4 Subjective Norms H 6 Trust Belief

METHOD • Sample: undergraduate students – Younger and better educated, matching typical Internet early

METHOD • Sample: undergraduate students – Younger and better educated, matching typical Internet early adopters • Paper questionnaires • Arabic questionnaire back-translated • In capital cities

QUESTIONNAIRE ITEMS • Intention (Venkatesh & Davis, 2000) • Attitude (Suh & Han, 2002)

QUESTIONNAIRE ITEMS • Intention (Venkatesh & Davis, 2000) • Attitude (Suh & Han, 2002) • PU & PEOU (Wang et al, 2003) • Self-efficacy & Control (Wang et al, 2003) • Trust (Mc. Knight et al, 2002)

SAMPLE UK Saudi Arabia N 232 386 Response rate 49 82 % Female 44

SAMPLE UK Saudi Arabia N 232 386 Response rate 49 82 % Female 44 43 Years Internet experience 4. 3 3. 3

PRINCIPLE COMPONENTS ANALYSIS • 6 factors extracted at Eigen > 1 – Matching the

PRINCIPLE COMPONENTS ANALYSIS • 6 factors extracted at Eigen > 1 – Matching the hypothesised constructs • No cross-construct loadings > 0. 3 – Good discriminant validity • Factor loadings > 0. 5 – (except for 2 items, which were dropped) – Convergent validity

AMOS STRUCTURAL EQUATION MODEL FIT UK Saudi Arabia Across groups Chi ² 181 212

AMOS STRUCTURAL EQUATION MODEL FIT UK Saudi Arabia Across groups Chi ² 181 212 396 df 107 216 CFI 0. 96 0. 97 0. 96 RMSEA 0. 055 0. 050 0. 037

AMOS STRUCTURAL EQUATION MODEL • The path coefficients for H 1 – H 7

AMOS STRUCTURAL EQUATION MODEL • The path coefficients for H 1 – H 7 are significant – p < 0. 03 • Mediators: – Perceived usefulness and – Trust fully mediate the impact of – Perceived manageability and – Subjective norm

Perceived Manageability 0. 6 Perceived Usefulness UK 0. 5 KSA 0. 7 0. 5

Perceived Manageability 0. 6 Perceived Usefulness UK 0. 5 KSA 0. 7 0. 5 0. 3 Attitudinal Intentions 0. 3 KSA 0. 18 UK 0. 6 Subjective Norms 0. 16 Trust Belief

INVARIANCE ANALYSIS Multiple Group Analysis Parameter subsets Measurement weights Structural weights Models √ √

INVARIANCE ANALYSIS Multiple Group Analysis Parameter subsets Measurement weights Structural weights Models √ √ √ OK

INVARIANCE ANALYSIS • Do the measures have the same meaning for the two groups

INVARIANCE ANALYSIS • Do the measures have the same meaning for the two groups of respondents? • Assuming that the unconstrained model is correct Measurement weights are invariant across groups: – Δ chi ² – Δ df – p = 21 = 12 = 0. 08 • Only the 2 nd perceived usefulness item reduces fit – Chosen as the constrained value

REGRESSION PATHS INVARIANCE • Since we have metric invariance, we can test regression path

REGRESSION PATHS INVARIANCE • Since we have metric invariance, we can test regression path invariance • Comparing UK and KSA with all regression paths constrained equal Significantly different, i. e. non-invariant across groups: – Δ chi ² – Δ df – p = 16 = 7 = 0. 02

INVARIANCE ANALYSIS Manage Models Model Name Structural weights Parameter constraints b 1_1 = b

INVARIANCE ANALYSIS Manage Models Model Name Structural weights Parameter constraints b 1_1 = b 1_2 b 2_1 = b 2_2 b 3_1 = b 3_2 b 4_1 = b 4_2 b 5_1 = b 5_2

INVARIANCE ANALYSIS Manage Models Model Name Structural weights Parameter constraints b 3_1 = b

INVARIANCE ANALYSIS Manage Models Model Name Structural weights Parameter constraints b 3_1 = b 3_2

REGRESSION PATHS INVARIANCE • Which regression paths are significantly different? • Each regression path

REGRESSION PATHS INVARIANCE • Which regression paths are significantly different? • Each regression path in turn constrained equal across the 2 groups • All others freely estimated

NON-INVARIANT REGRESSION WEIGHTS Δ Chi ² Δ df p Perceived usefulness → Attitudinal intentions

NON-INVARIANT REGRESSION WEIGHTS Δ Chi ² Δ df p Perceived usefulness → Attitudinal intentions 5. 9 1 0. 02 Trust belief → Attitudinal intentions 6. 5 1 0. 01

NON-INVARIANT REGRESSION WEIGHTS • Saudi customers perceive system usefulness as more important than do

NON-INVARIANT REGRESSION WEIGHTS • Saudi customers perceive system usefulness as more important than do UK customers • UK customers perceive a bank’s trustworthiness as more important than do Saudi customers

CULTURE DIFFERENCES (Hofstede, 1980) • Saudi customers perceive system usefulness as more important than

CULTURE DIFFERENCES (Hofstede, 1980) • Saudi customers perceive system usefulness as more important than do UK customers • In countries that tend to be more ‘feminine’, personal relationships are more valued (KSA), – Need more convincing of usefulness • In the more ‘masculine’ and assertive UK, the low social presence media are more accepted – Usefulness of Internet Banking may be taken for granted (Straub et al, 1997)

CULTURE DIFFERENCES (Hofstede, 1980) • UK customers perceive a bank’s trustworthiness as more important

CULTURE DIFFERENCES (Hofstede, 1980) • UK customers perceive a bank’s trustworthiness as more important than do Saudis • People in high collectivism cultures (KSA) tend not to trust people outside their group – More likely to derive trust from relationships (Yamagishi & Yamagishi, 1994) • Individualistic cultures (UK) trust others – Rely on the environment to determine whether it is in another’s (i. e. the banks) interest to behave well (Bhawuk & Brislin, 1992)

CONCLUSIONS • Cross-cultural questionnaires are feasible • The Internet Banking model has relevance across

CONCLUSIONS • Cross-cultural questionnaires are feasible • The Internet Banking model has relevance across cultures • Behavioural models may vary psychometrically between cultures

CONCLUSIONS • Perceived manageability forms a single construct, aggregating the previous: – Perceived ease

CONCLUSIONS • Perceived manageability forms a single construct, aggregating the previous: – Perceived ease of use – Self-efficacy – Perceived control • Attitude is implicit in behavioural intentions • 80 % of the variance in Attitudinal Intention is explained by: – Perceived usefulness and – Trust

MANAGERIAL IMPLICATIONS • Internet Banking is influenced by important others • Marketing communications need

MANAGERIAL IMPLICATIONS • Internet Banking is influenced by important others • Marketing communications need to consider word of mouth – Social networks?

SPSS AMOS INVARIANCE ANALYSIS ACROSS CULTURES CASE STUDY: INTERNET BANKING ACCEPTANCE Bander Al. Sajjan

SPSS AMOS INVARIANCE ANALYSIS ACROSS CULTURES CASE STUDY: INTERNET BANKING ACCEPTANCE Bander Al. Sajjan and CHARLES DENNIS