Faith and Finance: Understanding Muslim Consumers’ Identity in Pakistan’s Traditional Banking Sector
Abstract
1. Introduction
2. Literature Review
2.1. Religion and Culture
2.2. Consumer Multiple Identities
2.2.1. Consumer Identity
2.2.2. Personal Identity
2.2.3. Role Identity
2.2.4. Group Identity
2.3. Pakistan and Islamic Banking
3. Materials and Methods
3.1. Data Collection
3.1.1. Participant Selection and Sampling Approach
3.1.2. Ethical Considerations and Interview Process
- Identity;
- Religion;
- Family;
- Banking.
3.2. Data Analysis
- Phase One involved becoming familiar with the data corpus through the researcher’s transcription efforts. Translating and transcribing interviews facilitated immersion in the data, and note-taking during reading provided a foundation for subsequent analysis. All transcripts were uploaded into NVIVO 11 and then organized into separate folders for each data item.
- Phase Two, termed ‘open coding’, involved systematic coding of each data item, allowing the presentation of data as concepts, segments, and meaningful clusters. A total of 321 codes were created by observing and refining the data. Multiple blind coding, involving independent coding by others in the research team, ensured consistency and minimized bias. Some codes were derived from interviewees’ expressions (in vivo code) and others were constructed based on their explanations.
- Phase Three focused on sorting codes into potential themes and organizing relevant extracts within each theme. Themes represented patterned responses or meanings within the dataset, these being broader than codes. The use of CAQDAS, specifically NVIVO 11, facilitated rigorous data analysis and maintained an audit trail.
- Phase Four refined themes by discarding, merging, or breaking down the data based on availability. The researcher reread the coded text to ensure accurate representation, seeking input from others in the research team to reduce bias.
- Phase Five involved defining and naming themes, ensuring clarity, and writing a detailed analysis of each theme. The iterative process required critical thinking and continuous discussion with others to limit bias.
- Phase Six presented the complicated story of the data, convincing readers of the analysis’ merit and validity. The researcher reached a deep understanding of the data, drawing on field notes, writing memos during coding, and taking notes from interview transcriptions. The 6-phase process, though presented linearly, involved frequent iterative reviews, revisits to notes, and continuous refinement to ensure the authenticity of the final account presented.
4. Results
4.1. Religious (Personal) Identity and Bank Choice
“Alhamdullilah, I have been blessed throughout my life. I have got good job, house, I have kids, my parents live with me and are happy, what else could I ask from Allah”.(P3, 33-year-old male)
“Yes, I have achieved all these things (referring to his house, car, job and family) but I have worked for it too. My Dad, for example, warns me not to take credit because if Allah does not will [it], it will not happen. I agree with that, but I also think if I won’t put the effort in, I won’t get anywhere”.(P26, 35-year-old male)
“Yes, absolutely, I don’t indulge in any ‘Haram’ activity knowing that this is prohibited in my religion. For example, I don’t drink, and I don’t gamble”.(P22, 46-year-old male)
“One thing is very important to me [is] to make sure that my kids know the difference between right and wrong, and we have our Holy book to guide us”.(P23, 40-year-old female)
“I am a proud Muslim and would not have liked it any other way. I try to avoid lies, be honest in my everyday dealings, take care of my parents and near and dear ones and earn by Halal (permissible) ways and thus I don’t have any bank account in Islamic banks”.(P22, 46-year-old male)
“I did think through it to see how I feel while using the services of a non-Islamic bank, and I realized that I feel fine… I don’t have the ‘right’ services of [an] Islamic bank to use so I am not at any fault. My intentions are clear”.(P22, 46-year-old male)
4.2. Role Identity and Bank Choice
“To begin with I am a 44-year-old Muslim who works in AB IT professional company…. I am married with 3 children…. I consider myself lucky to be born in a Muslim household”.(P21, 44-year-old male)
“I have always idealized my dad, no matter what. Although I am married now, and have my own family, [I] will still consult him for all my decisions including my financial choices and my kids’ future”.(P23, 40-year-old female)
“I don’t question my parents’ choices; be it house related matters or outside … I have always been in an awe of them, and I wish that my children will feel the same way towards me”.(P16, 39-year-old male)
“He (referring to his father) has seen all the ups and downs on his own, also have gone through major financial crisis, but stood through it all strong”.(P32, 33-year-old male)
“Of course, if my Dad is doing something there must be a reason and good justification behind it. My parents have managed everything so well so far, how can this be wrong?”.(P15, 35-year-old female)
“I want my children to see my bond with my parents, especially in this age, as I don’t want to live a sad lonely life when I am old”.(P16, 39-year-old male)
“For me, my parents come first before anything else, and I hold them dear in every decision I make, from my career choices, to my studies, and wedding decisions, pretty much everything”.(P5, 31-year-old female)
4.3. Group Identity and Bank Choice
“You see, I don’t want to talk about money, or my financial matters, with the people around me. The only people [who] know about that is my parents and wife”.(P30, 29-year-old male)
“I don’t go around and tell people if I am using bank A or B, it’s none of their business”.(P11, 35-year-old male)
5. Discussion and Implications
5.1. Theoretical Implications
5.2. Practical Implications
6. Conclusions
6.1. Limitations
6.2. Future Research
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
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Participant Identification | Gender | Age (Years) | Occupation | Marital Status |
---|---|---|---|---|
Participant 1 (P1) | Female | 29 | Employed | Single |
Participant 2 (P2) | Male | 30 | Employed | Single |
Participant 3 (P3) | Male | 33 | Employed | Married |
Participant 4 (P4) | Female | 29 | Employed | Single |
Participant 5 (P5) | Female | 31 | Employed | Single |
Participant 6 (P6) | Female | 27 | Employed | Engaged |
Participant 7 (P7) | Female | 35 | Employed | Single |
Participant 8 (P8) | Male | 38 | Employed | Married |
Participant 9 (P9) | Male | 32 | Housewife | Married |
Participant 10 (P10) | Male | 27 | Student/part-time work | Single |
Participant 11 (P11) | Male | 35 | Employed | Married |
Participant 12 (P12) | Male | 30 | Employed | Single |
Participant 13 (P13) | Male | 37 | Employed | Married |
Participant 14 (P14) | Male | 41 | Employed | Married |
Participant 15 (P15) | Female | 35 | Housewife | Married |
Participant 16 (P16) | Male | 39 | Employed | Married |
Participant 17 (P17) | Male | 36 | Employed | Married |
Participant 18 (P18) | Male | 29 | Employed | Single |
Participant 19 (P19) | Male | 29 | Employed | Married |
Participant 20 (P20) | Male | 42 | Employed | Married |
Participant 21 (P21) | Male | 44 | Employed | Married |
Participant 22 (P22) | Male | 46 | Employed | Married |
Participant 23 (P23) | Female | 40 | Employed | Married |
Participant 24 (P24) | Male | 36 | Employed | Single |
Participant 25 (P25) | Male | 33 | Employed | Married |
Participant 26 (P26) | Male | 35 | Employed | Married |
Participant 27 (P27) | Male | 36 | Employed | Single |
Participant 28 (P28) | Male | 39 | Employed | Single |
Participant 29 (P29) | Male | 41 | Employed | Married |
Participant 30 (P30) | Male | 29 | Employed | Single |
Participant 31 (P31) | Male | 31 | Employed | Single |
Participant 32 (P32) | Male | 33 | Employed | Married |
Participant 33 (P33) | Male | 34 | Employed | Married |
Participant 34 (P34) | Male | 30 | Employed | Married |
Participant 35 (P35) | Male | 32 | Employed | Married |
Participant 36 (P36) | Male | 41 | Employed | Married |
Participant 37 (P37) | Female | 37 | Housewife | Married |
Participant 38 (P38) | Female | 34 | Employed | Divorced |
Participant 39 (P39) | Female | 29 | Employed | Married |
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Ashraf, S.; Memery, J.; Polkinghorne, M. Faith and Finance: Understanding Muslim Consumers’ Identity in Pakistan’s Traditional Banking Sector. Businesses 2025, 5, 30. https://doi.org/10.3390/businesses5030030
Ashraf S, Memery J, Polkinghorne M. Faith and Finance: Understanding Muslim Consumers’ Identity in Pakistan’s Traditional Banking Sector. Businesses. 2025; 5(3):30. https://doi.org/10.3390/businesses5030030
Chicago/Turabian StyleAshraf, Samreen, Juliet Memery, and Martyn Polkinghorne. 2025. "Faith and Finance: Understanding Muslim Consumers’ Identity in Pakistan’s Traditional Banking Sector" Businesses 5, no. 3: 30. https://doi.org/10.3390/businesses5030030
APA StyleAshraf, S., Memery, J., & Polkinghorne, M. (2025). Faith and Finance: Understanding Muslim Consumers’ Identity in Pakistan’s Traditional Banking Sector. Businesses, 5(3), 30. https://doi.org/10.3390/businesses5030030