Violations of CSR Practices in the Australian Financial Industry: How Is the Decision-Making Power of Australian Women Implicated?
Abstract
:1. Introduction
2. Unethical CSR Practices within the Australian Financial Industry
3. Theoretical Background
Emotion-Imbued Choice Model
4. Development of Hypotheses and Theoretical Model
4.1. Consumer Power
4.2. Inappropriate CSR Disclosures and Their Influence on Rational Decision-Making and Consumer Power
4.3. Inappropriate CSR Disclosures and Their Influence on Anxiety and Consumer Power
4.4. Inappropriate CSR Disclosures and Their Influence on Self-Efficacy and Consumer Power
5. Methods
5.1. Operationalisation of Constructs
5.2. Measures
5.3. Sampling
6. Results
6.1. Descriptive Analysis
6.2. Construct Validity and Common Method Bias
6.3. Regression and Moderation Analysis
7. Discussion
8. Conclusions
9. Theoretical and Practical Contributions
9.1. Theoretical Contributions
9.2. Practical Implications
9.3. Limitations and Future Research Directions
Supplementary Materials
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
References
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Manipulation Technique | Banking Example |
---|---|
False promises on Value Proposition | Slogans such as “More Give, Less Take” and “More than Money” used by one of the five big five Banks in to advertise their services, which contradicts the findings of the royal commission’s report in 2018, who identified that five of the nation’s largest banks, including the bank showcasing this slogan, have improperly collected fees for services that were never provided. |
Misleading consumers without telling them the complete truth | Statements such as “Our entire culture is centred on doing what is right for our customers”(from the CEO of one of the financial and online banking services providers) or “I’m not aware of any overbearing sales culture” (from the CFO of the same firm) in response to the incentive-compensation programme that made it possible for its employees to pursue underhanded sales practices, where this firm misled shareholders by creating 3.5 million fake-accounts and charging customer fees they did not know about. |
Statements in response to deflect the responsibility | Hearing statements such as “You’ve got to come back to why do we exist and what is our vision” and one of the five big banks wanted to inspire its people “from their head and their heart to living the purpose and vision”(CEO of the bank) in response to what would stop banks from chasing short-term profits, rather than looking after their customers in future. The royal commission revealed multiple transgressions of banks in Australia. |
Assumptions | Manipulative Model | Transactional Model | Service Model | Corporate Model | Stakeholder-Institutional Model | Consumer Power Model |
---|---|---|---|---|---|---|
Power Balance | Dominance of Marketers | Consumer Marketer Balance | Consumers Dominate | Consumers and Stakeholders Dominate | Balancing current stakeholder and societal needs | Consumer Decision-Making Power and Resistance to Manipulation |
Type of Consumer Power | Forces consumer choice | Consumer choice | Consumer Sovereignty | Consumer Stakeholder Sovereignty | Value Creation | Consumer Influence and Resistance towards Manipulation Techniques |
Role of Marketer | To persuade consumers | To work with consumers | To service consumers | To work with consumers and stakeholders | An obligation to serve the long-term interests of customers and society. | Manipulate and Persuade consumers |
Constructs | Study Context | Operational Definition | Reliability |
---|---|---|---|
Rational Decision-Making Process | Taiwanese Financial Market | A rational decision is defined as an attempt to reach an optimum decision by categorising decision making into three types based on the level of rationality. Pure rationality allows decision-makers to reach optimum decisions and achieve the highest efficiency with unlimited time, resources, and knowledge to make decisions. | 0.67 (Demand Justification) 0.62 (Searching for Information) 0.64 (Evaluating Alternatives) 0.75 |
Anxiety | Disposition of anxiety in investment decisions | Anxiety has been defined as an emotional response involving unpleasant feelings of tension and apprehensive and worried thoughts, and it prompts avoidant and conservative behaviour. | 0.82 |
Anger | Disposition of anger in investment decisions | Anger has been defined as an “emotional state that consists of feelings that varies in intensity, from mild irritation or annoyance to fury and rage” (Gambetti and Giusberti, 2012, p. 1059). | 0.80 |
Consumer Power | Measuring power in social context (how sellers manipulate consumers) | Power is the perceived ability or potential of a social actor to influence or control the behaviour of another within a given relationship or context. Furthermore, it is an outcome of social dependency. A dependency, rather than power, may be viewed as an antecedent condition for predicting behaviour. Power can then be a useful scientific construct only when employed as an indicator of social dependency. Extending this to a consumer context, a consumer’s power over a retailer or its sales agent is derived from the retailer’s desires for the use or ownership privileges over the money resources commanded by the consumer. Likewise, a retailer’s power over a consumer derives from the consumer’s dependency on the retailer as a source of supply of those products and/or services which he or she may desire. As such, the interdependency existing between retail exchange partners leads to their attributed powers with respect to each other. Consumer Power is measured by Consumer Influence (CI) and Consumer Resistance (CR). | 0.75 0.66 |
Item | Frequency | Percentage (%) | |
---|---|---|---|
Gender | Women | 357 | 100 |
Age | <25 Years of Age | 31 | 8.6 |
26–35 Years of Age | 93 | 26.0 | |
36–45 Years of Age | 80 | 22.4 | |
46–65 Years of Age | 101 | 28.2 | |
>65 Years of Age | 52 | 14.5 | |
Income | <20,000$ | 100 | 28.0 |
20,000–34,999$ | 78 | 21.8 | |
35,000–49,999$ | 63 | 17.6 | |
50,000–74,999$ | 70 | 19.6 | |
<75,000$ | 46 | 12.8 | |
Education | Up to Primary School | 3 | 0.84 |
Ordinary Level | 110 | 30.8 | |
Post-Graduate Level | 40 | 11.2 | |
Undergraduate Level | 113 | 31.6 | |
Advanced Level | 91 | 25.4 | |
Marital Status | Single | 106 | 29.6 |
Married | 154 | 43.1 | |
Widow | 19 | 5.32 | |
Divorced | 32 | 8.96 | |
De Facto | 46 | 12.8 | |
Total | 357 | 100 |
Construct | Items | Factor Loading | Sig | Cronbach’s (α) | C.R. | AVE |
---|---|---|---|---|---|---|
Demand Identification | IDENT1 | 0.65 | *** | 0.79 | 0.80 | 0.57 |
IDENT2 | 0.77 | *** | ||||
IDENT3 | 0.83 | *** | ||||
Information Search | INFO2 | 0.53 | *** | 0.60 | 0.60 | 0.42 |
INFO3 | 0.77 | *** | ||||
Evaluation of Alternatives | EVAL1 | 0.87 | *** | 0.72 | 0.74 | 0.60 |
EVAL2 | 0.65 | *** | ||||
Anxiety | ANX8 | 0.65 | *** | 0.87 | 0.87 | 0.50 |
ANX9 | 0.65 | *** | ||||
ANX11 | 0.68 | *** | ||||
ANX15 | 0.63 | *** | ||||
ANX17 | 0.73 | *** | ||||
ANX18 | 0.76 | *** | ||||
ANX20 | 0.78 | *** | ||||
Self-Efficacy | EFF1 | 0.75 | *** | 0.73 | 0.73 | 0.58 |
EFF2 | 0.77 | *** | ||||
Consumer Influence | CI2 | 0.62 | *** | 0.62 | 0.62 | 0.45 |
CI3 | 0.71 | *** | ||||
CR2 | 0.51 | *** | ||||
Consumer Resistance | CR6 | 0.77 | *** | 0.80 | 0.80 | 0.50 |
CR7 | 0.84 | *** | ||||
CR8 | 0.67 | *** |
CR | AVE | MSV | MaxR(H) | |
---|---|---|---|---|
ANXI | 0.870 | 0.489 | 0.375 | 0.875 |
EFFI | 0.730 | 0.575 | 0.115 | 0.730 |
RATI | 0.894 | 0.739 | 0.286 | 0.905 |
POWER | 0.567 | 0.481 | 0.344 | 0.920 |
Hypothesis | Regression Weights | Beta Coefficient | R2 | F | p-Value | Hypothesis Supported |
---|---|---|---|---|---|---|
H1 | Rat- > CP | 0.010 | 0.436 | 274.50 | <0.001 | Yes |
H2 | EFF- > CP | 0.015 | 0.008 | 2.82 | <0.001 | Yes |
H3 | ANX- > CP | 0.012 | 0.008 | 2.78 | <0.005 | Yes |
Model | R | R2 | Adjusted R2 | Std. Error of the Estimate | Change Statistics | |||||
---|---|---|---|---|---|---|---|---|---|---|
R2 Change | F Change | df1 | df2 | Sig. F Change | ||||||
1 | 0.689 | 0.475 | 0.471 | 0.08263 | 0.475 | 106.516 | 3 | 353 | <0.001 | |
Predictors: (Constant), ANXI, RATI, EFFI | ||||||||||
Dependent Variable: POWER | Coefficients | |||||||||
Model | Unstandardised Coefficients | Standardised Coefficients | t | Sig. | 95.0% Confidence Interval for B | |||||
B | Std. Error | Beta | Lower Bound | Upper Bound | ||||||
1 | (Constant) | 1.455 × 10−17 | 0.004 | 0.000 | 1.000 | −0.009 | 0.009 | |||
RATI | 0.104 | 0.006 | 0.688 | 17.665 | <0.001 | 0.092 | 0.115 | |||
EFFI | 0.025 | 0.007 | 0.148 | 3.497 | <0.001 | 0.011 | 0.039 | |||
ANXI | 0.012 | 0.006 | 0.086 | 2.042 | 0.042 | 0.000 | 0.023 |
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Sharma, A.; Hewege, C.; Perera, C. Violations of CSR Practices in the Australian Financial Industry: How Is the Decision-Making Power of Australian Women Implicated? Sustainability 2023, 15, 777. https://doi.org/10.3390/su15010777
Sharma A, Hewege C, Perera C. Violations of CSR Practices in the Australian Financial Industry: How Is the Decision-Making Power of Australian Women Implicated? Sustainability. 2023; 15(1):777. https://doi.org/10.3390/su15010777
Chicago/Turabian StyleSharma, Abhishek, Chandana Hewege, and Chamila Perera. 2023. "Violations of CSR Practices in the Australian Financial Industry: How Is the Decision-Making Power of Australian Women Implicated?" Sustainability 15, no. 1: 777. https://doi.org/10.3390/su15010777
APA StyleSharma, A., Hewege, C., & Perera, C. (2023). Violations of CSR Practices in the Australian Financial Industry: How Is the Decision-Making Power of Australian Women Implicated? Sustainability, 15(1), 777. https://doi.org/10.3390/su15010777