influential factors of participative banks acceptance in

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Researches and Applications in Islamic Finance بحوث و تطبيقميةسلية المات في ا اRecherches et Applications en Finance Islamique ISSN : 9052- 0224 Vol 5, N° 1, February 2021 90 Influential Factors of Participative Banks Acceptance in Morocco: An Empirical Study Amal EL MALLOULI ENCG Settat Hassan 1 st University Settat, Morocco [email protected] Pr. Hassan SASSI ENCG Settat Hassan 1 st University Settat, Morocco [email protected] Abstract: The objective of this paper is to investigate the factors that influence Moroccan customers to accept the use of Islamic banks that have been newly introduced in this country. Thus, based on a modified theory of planned behavior, the study examines the effect of attitude, subjective norms, perceived behavioral control, and uncertainty on customers' behavioral intention. To achieve this aim, the study used a quantitative approach through a questionnaire administered to 500 respondents but only 255 usable feedbacks were received from respondents. The proposed hypothetical relationships were examined using structural equation modeling (SEM) with the Partial Least Squares (PLS) approach. The results showed that all suggested variables have a significant influence on behavioral intention. Key words: Behavioral intention; Participative banks; Islamic finance. Received: 29 December 2020, accepted: 16 February 2021 Citation: El mallouli A. and H. Sassi (2021), Influential Factors of Participative Banks Acceptance in Morocco: An Empirical Study, Researches and Applications in Islamic Finance, Vol 5, No 1, pages: 90-106

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Page 1: Influential Factors of Participative Banks Acceptance in

Researches and Applications in Islamic Finance

ات في المالية الاسلاميةبحوث و تطبيق Recherches et Applications en Finance Islamique

ISSN : 9052- 0224 Vol 5, N° 1, February 2021

90

Influential Factors of Participative Banks Acceptance in Morocco:

An Empirical Study

Amal EL MALLOULI

ENCG Settat

Hassan 1st University

Settat, Morocco

[email protected]

Pr. Hassan SASSI

ENCG Settat

Hassan 1st University

Settat, Morocco [email protected]

Abstract: The objective of this paper is to investigate the factors that influence Moroccan

customers to accept the use of Islamic banks that have been newly introduced in this country.

Thus, based on a modified theory of planned behavior, the study examines the effect of attitude,

subjective norms, perceived behavioral control, and uncertainty on customers' behavioral

intention. To achieve this aim, the study used a quantitative approach through a questionnaire

administered to 500 respondents but only 255 usable feedbacks were received from respondents.

The proposed hypothetical relationships were examined using structural equation modeling (SEM)

with the Partial Least Squares (PLS) approach. The results showed that all suggested variables

have a significant influence on behavioral intention.

Key words: Behavioral intention; Participative banks; Islamic finance.

Received: 29 December 2020, accepted: 16 February 2021

Citation: El mallouli A. and H. Sassi (2021), Influential Factors of Participative Banks Acceptance in

Morocco: An Empirical Study, Researches and Applications in Islamic Finance, Vol 5, No 1, pages: 90-106

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Introduction

Islamic finance is based on the principles of Islamic law, Shariah, and seeks to convey a

vision of justice, fairness and transparency. This ethical finance has proved to be successful in

several countries around the world and has received wide acceptance by Muslims and non-

Muslims alike (Iqbal and Molyneux, 2005). In Morocco, there have been several attempts to

introduce Islamic finance since the 1980s. This country has a set of assets that would have

favored the success of this industry, such as its Muslim population, its geographical position,

and its economic environment (Rhanoui and Belkhoutout, 2017).

Morocco's first experience with Islamic finance began at 2007 when the country's central

bank (Bank Al-Maghrib) allowed the launch of some Islamic products. This first experience

ended in a failure due to many reasons which mainly concern (El mallouli and Sassi, 2020):

The lack of banks' involvement, the marketing of these products without any religious

mention and their designation as alternative products instead of Islamic ones, the lack of a

common opinion that should have been issued by the Superior Council of the Ulemas, on the

conformity of these products to the Shariah, and also the lack of tax neutrality on these

products which led to the high cost of these products compared to those of the conventional

bank.

For these reasons, Morocco's first experience with Islamic financial industry failed. However,

the country's monetary authorities have made great efforts to implement the prerequisites

necessary for the success of this industry. Then, in 2017, there was the effective start of

Islamic banks activity, called participative banks in Morocco. This new start was eagerly

awaited by a large part of the population, who refused to join the conventional banking

system or was only obliged to use the products of conventional banks, as there were no other

alternatives.

Islamic banking is an economic organization that seeks to fulfill its role of serving customers

with fairness, equity and transparency. However, it is also a business that seeks to attract new

customers and retain old ones. Thus, Islamic banks must seek to truly understand their

customers' perceptions of their products and services in order to retain them. In this respect,

the objective of our study is to understand the motivations that push or hinder customers to

accept the use of participative banks in Morocco.

Several studies have been conducted in different contexts and have identified different factors

that influence consumers' decision to accept the use of Islamic banks. For example, in

Uganda, Kaawaase et al, (2019) conducted a study on the determinants of intention to adopt

Islamic banking in a non-Islamic developing country. The study showed that, attitude and

religion are significant influencing factors on the intention to adopt as opposed to subjective

norms that have no impact. Albaity and Rahman (2019) carried a study on the intention to

adopt Islamic banking in the UAE. The study conducted a survey of 350 respondents and

concluded that Islamic financial literacy, awareness, reputation and attitude towards Islamic

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banking significantly influenced the intention to use Islamic banking, while cost and benefit

does not. In Malaysia, Lajuni et al, (2017) conducted a study on the determinants of intention

to adopt Islamic banking. The analysis of 131 collected responses concluded that attitude,

government support, and social influence possess explanatory and predictive capacity to

envisage customers' intention to use Islamic banking products.

However, very few studies have been conducted in Morocco on intention to use participative

banks. This field of research is still unexplored. Thus, this study will enhance the existing

literature review and will represent an important foundation for future, more in-depth

research.

To carry out our study, we followed a quantitative approach through a questionnaire survey.

The study mobilizes a modified theory of planned behavior and aims to test the effect of

attitude, subjective norms, perceived behavioral control and uncertainty on the behavioral

intention of customers to accept the use of participative banks in Morocco. Analysis of the

results will be carried out through structural equation modeling (PLS-SEM).

The remainder of this document is structured as follows. The second section will present the

underlying theory which is the theory of planned behaviour (TPB). The third section will

present a literature review on variables of our study and will outline the main research

hypotheses. The fourth section will present the research methodology. The fifth section will

present the main results of our study, including tests of the research hypotheses. The sixth

section will be devoted to conclusion and discussion of the results obtained. Finally, the last

section will shed light on this study's theoretical and managerial implications.

2. Underpinning theory

The theory of planned behavior TPB (Ajzen, 1991), is a theory of social psychology, which is

part of the theories that have been used to understand the factors that can impact an individual

to adopt a specific behavior. This theory was mainly based on the theory of reasoned action

(TRA) of Ajzen and Fishbein (1980). Indeed, TRA takes into consideration only two factors

that explain the individual's behavioral intention, which are: attitude and subjective norms.

Thus, it has been concluded that this theory does not consider the case of people who cannot

control their choice due to the absence of conditions related to other prerequisites and

resources (Herrero and Rodríguez , 2008). The theory of planned behavior therefore remedies

this limitation by incorporating into its model another variable of perceived behavioral

control.

The theory of planned behavior is the underlying theory on which our study is based. This

theory was chosen, on the one hand, for having justified a significant predictive and

explanatory power towards the adoption of a specific behavior. On the other hand, the

existing literature review shows that this theory has rarely been used to study the behavioral

intentions of Moroccans towards the use of participative banks in Morocco.

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3. Research variables and hypothesis

3.1. Attitude

Fishbein and Ajzen (1975) consider attitude as the ability of individuals to evaluate the

positive or negative feelings they express when they perform a particular behavior. Several

studies show the significant effect of attitude on the behavioral intention of individuals in

different contexts. For instance, Raza et al., (2019) used the theory of planned behavior to

examine the factors that impact individuals' decisions to accept Participative insurance as a

financial product. The study showed that attitude has a significant positive impact on

adoption. In Pakistan, Aziz et al., (2018) conducted a study to determine the factors that

impact individuals' intentions to adopt Islamic banking. The results of the study showed that

attitude positively impacts the behavioral intention to adopt Islamic banking in Pakistan.

Similarly, Ali and Jama (2016) stated that attitude is an influential predictor of the adoption of

Islamic insurance in Somalia. Putit and Johan (2015) conducted a study on customers'

behavioral intention to use Halal credit card services. The results of the study showed that

religiosity and knowledge are two factors that significantly influence customers' attitudes.

Similarly, attitude has a significant impact on the customers' intention to accept Halal credit

card services. Based on the above, the following hypothesis can be developed:

H1: Attitude positively impacts the intention to use participative banks in Morocco.

3.2. Subjective norms

Subjective norms are the second variable mainly derived from the theory of reasoned action.

This variable is related to social influence (Lada et al., 2009), and to the social pressure

perceived by an individual to adopt or not adopt a behavior (Ajzen and Albarracín, 2007). The

relationship between subjective norms and intention has been studied in different contexts,

not only in the context of Islamic financial services, but also in the context of technology

adoption and consumer behavior in general. For example, several studies have captured the

effect of subjective norms on behavioral intention to adopt Islamic financial products and

services, including those of Marayam et al., (2019); Ibrahim et al., (2017), Echchabi et al.,

(2016); Ayedh et al., (2014), Amin et al., (2011).

These studies established the relationship between subjective norms and behavioral intention.

Marayam et al., (2019) examined this topic and concluded that social influence has a high

significant positive impact on the adoption of Islamic banking in Pakistan. Similarly, Ibrahim

et al., (2017) confirmed the existence of a significant effect of the subjective norm on the

intention to choose Islamic Home Financing products in Malaysia. Echchabi et al., (2016)

examined this relationship in the context of Tunisia. The results of the study showed that the

subjective norms have a positive impact on the intention to adopt Islamic banking services in

this country. Thus on the basis of this discussion, we can posit that:

H2: Subjective norms positively impact the intention to use participative banks in Morocco.

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3.3. Perceived Behavioral Control

Perceived behavioral control is the third dimension of Theory of Planned Behavior, which

refers to the fact that a person's behavior depends on his or her ability to control his or her

decision. Ajzen (1991) defines perceived behavioral control as being "the perceived ease or

difficulty of performing the behavior and it is assumed to reflect past experience as well as

anticipated impediments and obstacles". Indeed, perceived behavioral control is related to the

constraints that an individual may face when trying to perform behavior. These constraints

may be related to time limits, available resources, the environment, etc. (Kefi, 2010). Previous

work carried out in the context of consumer behavior showed the relevance of this variable to

explain the behavioral intention of individuals. Several research studies have thus

demonstrated the positive influence of perceived behavioral control on the adoption and

acceptance of Islamic financial products and services, including those of Ahmed et al.,(2019)

and Jaffar and Musa (2016). For instance Ahmed et al. (2019) discussed customers' intentions

toward Islamic Hire Purchase Financing. Their study showed that perceived behavioral

control has a positive influence on the behavioral intention of customers. Similarly, Jaffar and

Musa (2016) confirmed that perceived behavioral control significantly and positively impacts

the intention of Halal entrepreneurs who do not use Islamic finance. In the context of our

study, this variable is tested against the perceptions of potential customers of participative

banks regarding their ability to choose the products and services of these banks, their ability

to manage their operations with these new financial intermediation institutions and whether

they have the resources to adopt these financing facilities. Thus, we can posit the following

hypothesis:

H3: Perceived behavioral control positively impacts the intention to use participative banks

in Morocco.

3.4. Uncertainty

Rogers (2003), in his theory of diffusion of innovation, shows that the more uncertain people

are about a product, the lower the adoption rate will be. Thus, uncertainty is an important

variable that could impact individuals' decisions to adopt a behavior. Several studies have

found that uncertainty has a negative effect on the adoption of Islamic banks. Thambiah et al,

(2011) conducted a comparative study between rural and urban areas in Malaysia on customer

perceptions of Islamic retail banks. The results of his study showed that uncertainty revealed a

negative relationship with adoption. In Morocco, Echchabi and Aziz (2012), carried out an

empirical investigation of customer perceptions of the adoption of Islamic banking services.

The study employed decomposed theory of planned behavior and showed that uncertainty has

a significant negative effect on customers' attitudes towards the adoption of Islamic banking

services. In Bahrain, Debab and Yateem (2012) examined the factors that influence bank

customer confidence after the financial crisis. The researchers examined their perceptions of

the security they feel towards conventional and Islamic banks. The results showed that 61%

of respondents considered conventional banks to be more secure than Islamic banks. This

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result clearly shows that the lack of knowledge and understanding of the Islamic banking

system, generates doubts and uncertainty about its transactions. In our study, the uncertainty

concerns the doubts that customers may have about the Shariah compliance of Participative

banking transactions, and the risks that these transactions may generate. On the basis of these

elements, the following hypothesis can be developed:

H4: Uncertainty negatively impacts the intention to use participative banks in Morocco.

4. Research Methodology

This study adopts a quantitative method through a structured questionnaire as a measuring

instrument. Our target is potential customers who have not yet used participative banks in

Morocco. The sampling technique chosen is the non-probability sampling technique with

convenience as an approach. This choice was made under the constraint that the data of these

banks' customers could not be accessed due to the high level of confidentiality.

Hair et al., (2017) suggest Cohen's (1992) recommendations for calculating the minimum

sample size. Indeed, Cohen (1992) proposes a table for calculating the minimum sample size

that combines the number of independent variables, the significance level and the minimum

R². Based on Cohen's (1992) recommendation and for our case with four independent

variables, a significance level of 1% and for a minimum R² of 0.1, the minimum sample size

would be 158 observations. Thus, we have administered a questionnaire to 500 respondents

but only 255 usable feedbacks were received from respondents. This number exceeds the

minimum sample size but remains quite short; however for time constraints we were unable to

do better. We have chosen electronic voice to avoid direct contact due to the circumstances of

the corona virus through which our country passes.

The questionnaire is presented in two parts: The first part concerns the questions related to the

variables of the study, the second part concerns the respondents' profile. Table 1 presents the

demographic characteristics of the respondents.

A 5-point Likert scale was used to measure the different variables. We used measurement

scales validated in the previous literature adapted to our study context (see Appendix). Before

conducting the final data collection, we conducted a pilot study with a small sample of 30

respondents in order to ensure the validity and reliability of the measurement instrument

(Chan and Chan, 2011). This step allowed us to ensure that our questions were well

formulated and clear.

To analyze the responses collected from our study sample, we used structural equation

modeling with a PLS-SEM approach, through the Smart PLS 3 software (Ringer et al., 2015).

The results of our study are presented in the following section.

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Table 1: Demographic characteristics of respondents

Respondents Pourcentage %

Gender Male

Female

214

41

83.9

16.1

Age <25

26---40

41---60

>60

40

158

52

5

15.7

62

20.4

2

Educational

level

Under baccalaureate

baccalaureate diploma

baccalaureate diploma+2

Bachelor

Master

PHD

Post doctoral researcher

5

24

22

71

95

29

9

2

9.4

8.6

27.8

37.3

11.4

3.5

Occupation Employee

State official

Business Owner

Liberal profession

Student

Other

60

140

4

8

30

13

23.5

54.9

1.6

3.1

11.8

5.1

Source: Author's own

5. Results

5.1. Measurement model evaluation

To evaluate our measurement model, we assessed the reliability, convergent and discriminant

validity of our model. Two criteria can be considered to confirm the reliability of the internal

consistency. These are Cronbach's alpha (α) and composite reliability (CR). The results of the

PLS Algorithm analysis show that all items displayed a Cronbach's alpha that exceeds the 0.7

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threshold except for item SN2 which showed a value of 0.628 (Table 2). According to

Ursachi et al., (2015), this value is considered acceptable. For the composite reliability (CR),

all items showed a value greater than 0.7 which is above the limit (Hair et al., 2017), (see

Table 2).

For the convergent validity of the reflexive constructs, the outer loadings commonly referred

to as indicator reliability displayed a value greater than 0.7 for all items exceeding the

acceptable minimum of 0.7 (Hair et al., 2017), excluding item INCRT3 which displayed a

value of 0.577. Some authors have suggested that items with loadings between 0.4 and 0.7

should be deleted if their deletion increases the CR value above the suggested threshold value

(Hair et al., 2017; Henseler et al., 2009). Thus, in line with this recommendation, we decided

to keep this item since the value of CR is already above the recommended threshold (0.856).

The second indicator used to measure convergent validity is the AVE (Average Variance

Extracted). Thus, Table 2 shows that all the values of the AVE range from 0.689 to 0.874 and

are thus above the 0.5 limit (Baggozi and Yi, 1989).

Table 2: Reliability and convergent validity results

Measures Loadings Cronbach

alpha (α)

Composite

Reliability (CR)

AVE

Behavioral Intention

-B_INT1

-B_INT2

-B_INT3

0.922

0.928

0.887

0.899

0.937

0.833

Attitude

-ATT1

-ATT2

-ATT3

0.927

0.937

0.940

0.928

0.954

0.874

Subjective norms:

-SN1

-SN2

0.917

0.774

0.628

0.758

0.720

Perceived Behavioral

Control:

-PBC1

-PBC2

-PBC3

0.869

0.811

0.809

0.778

0.869

0.689

Incertainty

-INCRT1

-INCRT2

-INCRT3

-INCRT4

0.753

0.863

0.577

0.875

0.775

0.856

0.603

Source: Author's own

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To evaluate the discriminant validity of our measurement model, we used two techniques.

The first is the Fornell-Larcher criterion and the second is the Cross-Loadings technique. The

results of these analyses, as shown in Table 3, indicate that "square root of the AVE of each

construct are higher than its highest correlation with the other constructs" thus meeting the

requirements for the Fornell and Larcker (1981) technique for confirming discriminant

validity. The second criterion used to assess discriminant validity is the cross-loading

technique (Chin, 1998). Hair et al, (2017) suggest that "the loading of a certain variable must

load higher than the cross-loading of other variables. In our study, as shown in Table 4, all

loadings of the measurement items are higher than any other cross-loading, thus confirming

the discriminant validity.

Table3: Discriminant validity results (Square Root of AVE)

Constructs ATT INT INCRT PBC SN

ATT 0.935

INT 0.868 0.913

INCRT -0.410 -0.410 0.776

PBC 0.806 0.798 -0.332 0.830

SN 0.394 0.450 -0.159 0.483 0.849

Source: Author's own

Table 4: Discriminant validity results (Cross-Loadings)

Constructs INT ATT SN PBC INCRT

INT1

INT2

INT3

0.922

0.928

0.887

0.815

0.815

0.746

0.398

0.353

0.485

0.752

0.746

0.683

-0.375

-0.372

-0.375

ATT1

ATT2

ATT3

0.810

0.784

0.840

0.927

0.937

0.940

0.382

0.333

0.389

0.744

0.736

0.779

-0.332

-0.414

-0.405

SN1

SN2

0.452

0.285

0.386

0.267

0.917

0.774

0.464

0.342

-0.183

-0.063

PBC1

PBC2

PBC3

0.794

0.564

0.589

0.795

0.562

0.613

0.499

0.372

0.305

0.869

0.811

0.809

-0.362

-0.159

-0.245

INCRT1

INCRT2

INCRT3

INCRT4

-0.281

-0.361

-0.193

-0.392

-0.276

-0.368

-0.182

-0.397

-0.118

-0.098

-0.133

-0.156

-0.205

-0.278

-0.112

-0.341

0.753

0.863

0.577

0.875

Source: Author's own

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Figure 1: Measurement model after execution of PLS Algorithm technique.

Source: Smart-PLS output.

5.2. Assessment of the structural model

To evaluate our measurement model, we relied on the coefficient of determination (R²), effect

size (f²), predictive relevance (Q²), and the path coefficient (β).

5.2.1. Coefficient of determination R²:

Chin (1998) asserts that R² is a measure of the predictive power of a model for the dependent

variables. According to this author, a coefficient of determination with a value of 0.67, 0.33

and 0.19 is considered substantial, moderate and low respectively. In our model, the R² is

0.790. This value is considered substantial in line with Chin's (1998) recommendations. Thus,

the four exogenous variables explain 79% of the behavioral intention of customers (Table 5).

5.2.2. Effect size (f²):

When a certain exogenous variable is omitted from the model, the change in the R² is known

as the effect size (f²).

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According to Cohen (1988), the values of 0.02, 0.15 and 0.35 represent small, medium and

large effect sizes. Thus, in our model, and in accordance with cohen's (1988)

recommendations, attitude recorded the largest effect size of 0.582 (Large), followed by

perceived behavioral control 0.089 (Small), subjective norms 0.023 (Small), For uncertainty,

it has recorded an effect size of 0.018 which means that uncertainty have a negligible effect

size. This implies that uncertainty would not change R² if omitted from the model.

5.2.3. Predictive relevance Q²

The Stone-Geisser Q² index allows us to examine the predictive relevance of the model.

When the resulting Q² values are greater than 0, the exogenous constructs of the model thus

reveal a predictive relevance for the endogenous construct concerned (Hair et al., 2017;

Henseler et al., 2009). In our model, the value of the Q² (Cross-Validated Redundancy) index

is 0.650 (Table 5) which is greater than 0 and thus shows that the variables of the model have

predictive relevance.

5.2.4. Path coefficient and hypothesis testing

Path coefficients indicate the strengths of the relationships between the independent variables

and the dependent variable. As appeared in Table 5 and figure 2, it is observed that Attitude

has significant positive relationship with behavioral intention (β=0.614, t=8.526,

p=0.000<1%) and thus supporting H1. Subjective norms shows a significant and positif

relationship with behavioral intention (β= 0.079, t=2.247, p-value=0.025 <5%), and thus

supporting H2. Perceived behavioral control had also been observed as having a positif and

significant influence on behavioral intention with β value of 0.243, t-value of 3.703 and p-

value of 0.000 which is significant at a level of 1%, hence supporting H3. Finally uncertainty

reveals a significant negative impact on behavioral intention (β= -0.065, t=1.922, p-value=

0.055 <10%), thus supporting H4.

Table 5: Results of the structural model of the study

Hypothesis Beta Std

Error

t-

value

p-value Decisions R² f² Q²

H1 ATT

=>B_INT

0.614 0.072 8.526 0.000* Supported 0.790 0.582 0.650

H2 SN

=>B_INT

0.079 0.035 2.247 0.025** Supported 0.023

H3 PBC=>

B_INT

0.243 0.066 3.703 0.000*

Supported 0.089

H4 INCRT=>

B_INT

-0.067 0.035 1.922 0.050** Supported 0.018

Note: * significant at 1% (two-tailed test); ** significant at 5% (two-tailed test).

Source: Author's own

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6. Discussion and conclusion

The aim of this study is to determine the factors that may influence non-users customers to

choose Participative banking services in Morocco. Taking on a theoretical guidance from the

theory of planned behavior, this study had empirically tested the influence of five variables on

the behavioral intention to use Participative banking services.

In this research the path analysis revealed that attitude has a positive significant relationship

with behavioral intention and is also the most influential factor that predicts customer's

intention to use Islamic banking services in a Muslim context like Morocco. This result means

that if a person has a positive attitude, he will surely be more attracted to use Participative

banking services. This result is in line with previous literature (Raza et al., 2019; Aziz et al.,

2018; Ali and Jama, (2016). Attitude is considered as a powerful factor that motivates a

consumer to develop a positive intention (Gopi and Ramayah, 2007). It signifies that when

attitude is favorable, the chances of a consumer to use a product will definitely increase.

On the other hand, the study showed that subjective norms are positively and significantly

related to behavioral intention. This result is consistent with the past literature of Marayam et

al., (2019); Ibrahim et al., (2017); Echchabi et al., (2016), Ayedh et al., (2014), Amin et al.,

(2011). This implies that opinion of specific referent groups is also important for developing

an intention toward the use of Participative banking services. This result can be explained by

the fact that in Morocco, and given that participative banking has just begun in Morocco,

individuals' knowledge remains somewhat limited. As a result, they may turn to people in

their social environment to consider their advice on adopting these new institutions. The

positive relationship also means that, the more a person faces a favorable social influence to

adopt banks, the more favorable his intention will be.

Another finding revealed that perceived behavioral control positively and significantly

impacts behavioral intention to use Participative banking services in Morocco. This result

concludes that individuals in Morocco are likely to get engaged in Participative banking

system when they have required resources to perform the behavior and when they have the

ability to choose the bank and manage their operations with these new institutions. This

finding is consistent with the works of Ahmed et al.,(2019); Raza et al.,(2019); Jaffar and

Musa,(2015) and Ibrahim et al., 2017. However, this result contradicts the findings of

Echchabi et al.,(2016) who found that perceived behavioral control does not have a significant

influence on Tunisian customers' behavioral intention.

Finally, uncertainty was found to have a negative and significant influence on behavioral

intention. This finding is in line with the previous studies' results of Thambiah et al., (2011)

and Echchabi and Aziz (2012). In fact, the result of our study reveals that, the more customers

will have doubts about Shariah compliance of participative banking and doubts about risks in

transactions, the less their intention to adopt will be. Our study shows that Moroccan

customers give importance to uncertainty when they want to make a decision on the use of

these new banks. This may also be explained by the fact that Participative banks in Morocco

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have just started their activity. So customers will have concerns about the doubt they feel

towards these Participative institutions' transactions. However, this result contradicts the one

of Ayinde and Echchabi (2012) as well as Abd.Aziz et al., (2015), which supported a non-

significant relation between uncertainty and the adoption of Islamic insurance and banking.

7. Theoretical and managerial implications

Our study has very important theoretical implications. This study hopes to contribute to the

enrichment of the body of literature. Indeed, to the best of our knowledge, our study is among

the earliest studies that had been carried out, in the context of Morocco, on acceptance of

Islamic banking services. Thus, this study has given us the opportunity to explore the

prospects of Islamic banking in the context of Morocco. Hence, this work will fill the gap in

the literature. Furthermore, this study has allowed us to extend and test the theory of planned

behavior in another area, which is Islamic banking.

Our research also has interesting managerial implications. This study provides practitioners

and managers guidelines and provides useful information on the factors that may impact the

decisions of Moroccan individuals to use participative banks recently established in Morocco.

The study shows that attitude is the most influential factor. Thus, bank managers need to

develop relevant strategies to foster a positive attitude of customers toward participative

banking. They must focus on promotional campaigns to show the advantages of these banks

and the alternative modes of financing that they can offer to their customers. In Morocco,

participative banking industry has only recently started its activity. Hence, customers still

doesn't have enough knowledge and understanding of this new banking system. This could

lead to doubts and uncertainties in the minds of potential customers, which could impact their

intention to engage with participative banking institutions. Thus, the managers of these

institutions must reassure customers that the transactions of participative banks are in

compliance with Shariah and that they do not risk anything in their operations and this

through awareness campaigns and training of staff who receive customers in banking spaces

to explain to them the conformity of products to religious principles.

References

Abd.Aziz ,H., Echchabi, A., Ayedh, A.M, Azouzi, D., Musse,O.S, Chaabane Oussama

Houssem,E.C.O. (2015), "Current state and future prospects of Islamic banking in

Morocco: An empirical investigation" ,Journal of Emerging Economies and Islamic

Research , Vol. 3, No.2.

Ahmed,R.R., Vveinhardt,J., Streimikiene,D and Pilinkiene,V. (2019), "Application of

the Theory of Planned Behavior Model for Examining Customers’ Intentions towards

"Islamic Hire Purchase Financing ", Engineering Economics, Vol.30, N.2, pp.236-245.

Amin, H., Rahim,A.,A., Laison,S.,S. and Magdalene,C., A. (2011), "Determinants of

customers’ intention to use Islamic personal financing, Journal of Islamic Accounting

and Business Research, Vol.2, No.1, p.22–42. doi:10.1108/17590811111129490.

Page 14: Influential Factors of Participative Banks Acceptance in

Vol 5, No 1 (2021)

103

Albaity, M. and Rahman, M. (2019), "The intention to use Islamic banking: an

exploratory study to measure Islamic financial literacy", International Journal of

Emerging Markets, Vol. 14 No. 5, pp. 988-1012. https://doi.org/10.1108/IJOEM-05-

2018-0218

Ali, A. Y. S., and Jama, A. K. A. (2016). "Determinants of Islamic insurance

acceptance: Empirical evidence from Somalia", European Journal of Business and

Management, Vol.8, No.15, pp.102-108.

Ajzen, I., and Fishbein, M. (1980), "Understanding attitudes and predicting social

behavior", Englewood Cliffs, NJ: Prentice-Hall.

Ajzen, I. (1991)," The theory of planned behavior", Organizational behavior and

human

decision processes, Vol.50 No.2, pp. 179-211.

Ajzen, I., and Albarracín, D. (2007), Prediction and change of health behavior:

Applying the reasoned action approach (pp. 3-21), Mahwah, NJ, US, Lawrence

Erlbaum Associates Publishers.

Ayedh,A.M, Echchabi,A. and Alnahari,A.A. (2014), "Islamic Banking in Yemen in

Light of the Arab Uprising: An Empirical Study from Customers’

Perspective", Journal of Applied Sciences, Vol.14, No.22, pp.3001-3007,

DOI: 10.3923/jas.2014.3001.3007

Ayinde, L., and Echchabi, A. (2012),"Perception and Adoption of Islamic Insurance in

Malaysia: An Empirical Study", World Applied Sciences Journal, Vol.20 No.3,

pp.407-415.

Aziz,S., Afaq,Z and Bashir,U. (2018), " Behavioral Intention to Adopt Islamic

Banking in Pakistan: A Study Based on Theory of Planned Behavior", Journal of

Islamic Business and Management, vol.8, No.2, pp.407-422.

Bagozzi, R. P., and Yi,Y. (1988), "On the Evaluation of Structural Equation Models".

Journal of the Academy of Marketing Science, Vol.16, No.1, pp.74–

94. doi:10.1177/009207038801600107.

Bananuka, J., Kaawaase, T.K., Kasera, M. and Nalukenge, I. (2019), "Determinants of

the intention to adopt Islamic banking in a non-Islamic developing country: The case

of Uganda", ISRA International Journal of Islamic Finance, Vol. 11 No. 2, pp. 166-

186. https://doi.org/10.1108/IJIF-04-2018-0040

Chan, C. and Chan, A. (2011), Attitude toward wealth management services,

International Journal of Bank Marketing, Vol.29 No.4, pp.272–

292, doi:10.1108/02652321111145925.

Chin,W.W.(1998)," The partial least squares approach to structural equation modeling,

Modern Methods for Business Research", pp: 295–358, Mahwah New jersey,

Lawrence Erlbaum Associates.

Cohen, J. (1988), "Statistical power analysis for the behavioral sciences", Hillsdale,

NJ, Lawrence Erlbaum Associates.

Cohen (1992), "A Power Primer", Psychological Bulletin 122, pp.155-159.

Page 15: Influential Factors of Participative Banks Acceptance in

Vol 5, No 1 (2021)

104

Debab, N. and Yateem, H.A. (2012), “Assessing the Factors that Influence Trust in the

Bahraini Retail Banking after the Financial Crisis”, International Journal of Business

Management & Economic Research, Vol.3, No.3, pp.546.

Echchabi, A., Azouzi, D. and Aziz, H.A. (2016), “The future prospects of Islamic

banking in Tunisia: an empirical survey”, EuroMed Journal of Business, Vol. 11, No.

1, pp. 119-131

Echchabi, A. and Aziz, H.A. (2012), “Empirical investigation of customers’

perception and adoption towards Islamic banking services in Morocco”, Middle-East

Journal of Scientific Research, Vol. 12, No. 6, pp. 849-858.

El mallouli, A. and Sassi,H. (2020), " The experience of participative banks

development in Morocco: Acquired lessons and current state", Revue Marocaine de

Recherche en Management et Marketing, vol.12, No.2, pp.171-193

https://doi.org/10.48376/IMIST.PRSM/remarem-v12i2.22131

Fishbein, M., and Ajzen, I. (1975), "Belief, attitude, intention and behavior: An

introduction to theory and research", Addison-Wesley Publishing compagny, 578

pages.

Fornell, C. and Larcker, D.F. (1981), “Evaluating structural equation models with

unobservable variables and measurement error”, Journal of Marketing Research, Vol.

18 No. 1, pp. 39-50.

Gopi, M., and Ramayah, T. (2007), "Applicability of theory of planned behavior in

predicting intention to trade online: Some evidence from a developing country".

International Journal of Emerging Markets, Vol.2, No.4, pp.348-360. doi:

https://doi.org/10.1108/17468800710824509

Hair, J. F., Sarstedt, M., Hopkins, L., & Kuppelwieser, V. (2014), "Partial Least

Squares Structural Equation Modeling (PLS-SEM): An Emerging Tool in Business

Research", European Business Review, Vol.26, No.2,pp.106-121,

https://doi.org/10.1108/EBR-10-2013-0128

Hair, J. F., Hult, G. T. M., Ringle, C. M., and Sarstedt, M. (2017), "A primer on partial

least squares structural equation modeling (PLS-SEM)", 2nd edition, Los Angeles,

Sage Publication.

Henseler, J. and Ringle, C.M. and Sinkovics, R. (2009), "The Use of Partial Least

Squares Path Modeling in International Marketing", Advances in International

Marketing (AIM), Vol. 20, pp. 277-320.

Herrero,C, Á., and Rodríguez,B.,I. (2008), "The effect of innovativeness on the

adoption of B2C e-commerce: A model based on the Theory of Planned Behavior",

Computers in Human Behavior, Vol.24, No.6, pp.2830–2847.

Ibrahim, M.A, Fisol,W.N.M. and Haji-Othman,Y. (2017), " Customer Intention on

Islamic Home Financing Products: An Application of Theory of Planned Behavior

(TPB)", Mediterranean Journal of Social Sciences,Vol.8, N.2, pp.77-86.

Doi:10.5901/mjss.2017.v8n2p77

Page 16: Influential Factors of Participative Banks Acceptance in

Vol 5, No 1 (2021)

105

Iqbal, M. and Molyneux, P. (2005), " Thirty Years of Islamic Banking: History,

Performance and Prospects", Palgrave Macmillan, New York.

Jaffar,M.A., Musa,R. (2016), "Determinants of Attitude and Intention towards Islamic

Financing Adoption among Non-Users", Fifth international conference on marketing

and retailing, Procedia Economics and Finance, Vol.37, pp. 227 – 233.

Kefi,H. (2010),"Mesures perceptuelles de l'usage des systèmes d'information :

application de la théorie du comportement planifié", Humanisme et Entreprise , n°

297,pp. 45-64. DOI 10.3917/hume.297.0045.

Kline, R. B. (2011). Methodology in the Social Sciences.Principles and practice of

structural equation modeling (3rd ed.), Guilford Press.

Lada, S., Harvey Tanakinjal, G., and Amin, H. (2009). Predicting intention to choose

halal products using theory of reasoned action, "International Journal of Islamic and

Middle Eastern Finance and Management ", Vol.2, No.1,pp. 66–76,

doi:10.1108/17538390910946276 .

Lajuni,N., Poh Ming,W., W., Yacob,Y., Ting,H. and Jausin , A. (2017),

"International Journal of Economics and Financial Issues", Vol.7 No.1,pp.329-333.

Maryam,S.Z, Mehmood,M.S and Khaliq, C.A (2019), " Factors influencing the

community behavioral intention for adoption of Islamic banking: Evidence from

Pakistan", International Journal of Islamic and Middle Eastern Finance and

Management, Vol.11,No.4.

Putit, L., and Johan, Z. J. (2015), Consumers’ Acceptance of ‘Halal’Credit Card

Services: An Empirical Analysis, Journal of Emerging Economies and Islamic

Research, Vol. No.1, pp.51-59.

Raza, S.A, Ahmed,R., Ali,M. and Qureshi,M.A (2019), "Influential factors of Islamic

insurance adoption: an extension of theory of planned behavior", Journal of Islamic

Marketing, Vol 10. No.1, https://doi.org/10.1108/JIMA-03-2019-0047

Rhanoui, S., and Belkhoutout,K. (2017), "Islamic Banking in Morocco: The Factors of

a Promising Future", Journal of Islamic Banking and Finance, Vol.5 No.1, pp.7-14,

DOI: 10.15640/jibf.v5n1a2.

Ringle, Christian M., Wende, Sven, and Becker, Jan-Michael. (2015), "SmartPLS 3.

Bönningstedt: SmartPLS", Retrieved from http://www.smartpls.com, accessed (10

decembre 2020).

Rogers, E. M. (2003), Diffusion of innovation (Fifth ed.) Free, Press, New york.

Thambiah, S., Ismail, H. and Ezu, U. (2011), “Customer awareness and current usage

of Islamic retail banking products and services in Malaysia”, Australian Journal of

Basic and Applied Sciences, Vol. 5 No. 10, pp. 667-671

Ursachi, G., Horodnic,L.,A. and Zait, A. (2015). How Reliable are Measurement

Scales? External Factors with Indirect Influence on Reliability Estimators, Procedia

Economics and Finance, Vol.20, No.15, pp.679–686.

Page 17: Influential Factors of Participative Banks Acceptance in

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Appendix: Questionnaire Items

Constructs Items Sources

Behavioral

Intention

I plan to make frequent use of party banking in

the future.

I intend to begin using partivicative banking

products and services in the future.

I will recommend the use of partivicative

banking products and services to others.

Alhassany, 2018;

Obeid and Kaabachi,

2016

Attitude

The use of participative banking services is

noteworthy.

The use of participative banking is a good idea.

Adopting participative banking would be good

for me.

Aziz and al., 2018

Alam and al., 2012

Subjective

Norms

The people I listen to might influence me to

use participative banking.

Most of the people who are important to me

support me in my decision to use partivicative

banking.

I would choose partivicative banking based on

the recommendations of my friends and family.

Obeid et Kaabachi,

2016;

Alam et al., 2012

Perceived

Behavioral

Control

I would be able to manage my operations with

the participative bank.

I have the resources to use the participative

bank.

I have the ability to choose the participative

bank

Shih and Fang (2004)

Amin et al., 2013

Incertainty I don't trust participative banking practices

(e.g., trust in Shariah compliance of products).

Participative banking is risky.

Islamic banking operations are dubious.

Participative banking is not trustworthy.

Aziz et al., 2018