Research Article | | Peer-Reviewed

Mobile Money Adoption and Performance of Informal Family Enterprises During COVID-19 Lockdown in Ekiti State, Nigeria

Received: 26 June 2024     Accepted: 15 July 2024     Published: 6 August 2024
Views:       Downloads:
Abstract

The study was carried out on family enterprises in Ekiti state during COVID-19 Lockdown: to identify socio-economic characteristics of the family enterprises; to determine the types of mobile money adopted; to determine the factors influencing the types of mobile money adopted; and to examine the effect of mobile money adopted on the performance of family enterprises during COVID-19 lockdown in Ekiti state. The study administered questionnaire on one hundred and fifty (150) respondents and retrieved one hundred (100) which was used for the analysis of this study using SPSS (Statistical Package for the Social Sciences). Findings from the study shows that majorities of the respondents had Diploma and Degree as their highest certificate. The nature of the family enterprises considered are publishing and printing, metal and aluminum fabrication, poultry and fishery farming and furniture, upholstery and carpentry, leather shoe making, graphic designer, automobiles mechanic and panel beaters, Gas seller, tailoring/fashion designer, and dry cleaners. Findings from the study further shows that the enterprises were self-started, owned through inheritance and while the remaining were acquired. The study findings show the factors that are influencing the adoption of mobile money by family enterprises in Ekiti State such as: perceived electronic fraud among the family enterprises discourages mobile money adoption; perceived ease of use of mobile money among the family enterprises encourages the adoption of mobile money; perceived low cost of service of use of mobile money among the family enterprises encourages the adoption of mobile money; perceived usefulness of mobile money among the family enterprises encourages the adoption of mobile money; low level of knowledge about mobile money (high level of illiteracy) among others. Findings further shows that mobile money adopted by the family enterprises are significantly influencing their performance in Ekiti State Nigeria. The study concluded that family enterprises considered are micro scales, and mostly adopted USSD (unstructured short messages) and mobile app including online banking as mobile money adopted by the selected family enterprises. The enterprises used the mobile money adopted for different transactions such as payment of salaries, products bought from suppliers, payment received on products/services sold/rendered to their customers. The study further concluded that the index factors considered in this study are cogent factors that are really influencing the adoption of mobile money. The study also concluded that mobile money adopted are significantly influencing the performance of the selected family enterprises during COVID-19 Lockdown in Ekiti State Nigeria.

Published in International Journal of Economic Behavior and Organization (Volume 12, Issue 3)
DOI 10.11648/j.ijebo.20241203.13
Page(s) 123-132
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2024. Published by Science Publishing Group

Keywords

Family Enterprises, Mobile Money, Adoption, COVID-19 Lockdown and Nigeria

1. Introduction
Family enterprises which is synonymous to family firms, family businesses, and family owned enterprises is defined as those enterprises that are either owned or controlled by families or individuals acting as first or ultimate owners . In another perspective, enterprises are classified as family owned whenever family owned (direct or indirect), more than 10% of the shares, or the voting rights of the firm. Family businesses are common organizational form nowadays in every economy and industry, whether they are private or listed. They are situated everywhere and mostly the financial saving net to the generality of the populace. Despite the economic importance of family enterprises, they seem to be performing below expectation, and many of the family enterprises even fold up recently especially during COVID-19 outbreak.
Furthermore, the outbreak of COVID-19 had brought about unprecedented socio-economic challenges to the global economy, Nigeria inclusive. Coronavirus (COVID-19) was officially confirmed on the 27th of February, 2020 in Nigeria by the Virology Laboratory (VL) of Lagos University Teaching Hospital (LASU) . Due to the contagious nature of COVID-19, several stringent measures were adopted by governments across the globe as never before in the history of humanity. Among the measures include: constant use of alcohol-based sanitizer; maintaining physical distancing of at least two (2) meters; regular wearing of face mask; regular hand washing with antiseptic soap and portable water; coughing and sneezing to flexed elbow or tissue and immediate disposing of the used tissue; frequent cleaning of touched surfaces and objects with alcohol-based sanitizer; and fumigation of surrounding with disinfectants and lockdown . Consequently, the lockdown created several socio-economic and psychological hardship on the entrepreneurs including masses ranging from psychological trauma and panic attack, disruption in the flow of income especially to the poor – worsening already existing income inequality, creating huge unemployment especially among those working in the economy, and triggered global economic recession .
In response to the socio-economic consequences that the coronavirus had created on the livelihood of the masses and the global economy, governments across the globe, especially in Nigeria, responded by encouraging the usage of digital banking platforms for seamless transaction, so as to curtailing the spread of the virus . It is important to note that despite the disruption in the global economy, mobile money has proven to be a valuable tool in facilitating safe and efficient financial transactions during the pandemic. Hence, mobile money service usage during the pandemic grown by 6% across the globe, with West Africa experiencing the biggest upsurge of mobile money service usage . In Nigeria, the report from Nigeria Interbank Settlement Scheme (NIBSS) reveals that mobile money transactions grew by 14.5 percent between February and March of 2020 owing to the pandemic . While other sectors are suffering and crashing during the pandemic, digital products, and companies like E-payment or Mobile Money service providers and digital-based companies are flourishing. In that case, it is important to understand the concepts of mobile money.
Mobile money is a technological advancement that allows mobile phone users to make payments, store monetary value, and send money to others safely with or without a formal bank account . Mobile money otherwise called M-payment system, takes advantage of wireless and communication technologies since it allows payment to be made via SMS message, PIN number transmission, Mobile Web, direct-to-subscriber bill and direct to credit cards transaction through mobile phones .
(a). Statement of the Problem
Despite the growing demand of Mobile money (M-money) services by many Nigerians in the wake of the health pandemic across the globe, M-money service demand in Nigeria and other West African countries is still very low at about twenty five percent (25%) penetration compared to East and South African regions where three in four adults relies on mobile money for financial transaction with about seventy eight percent (78%) penetration. In some East African countries like Kenya, Tanzania, Uganda, South Africa, and a few others, M-money has become the medium of choice for virtually every transaction especially with family enterprises. Despite having over thirty-six licensed M-money operators (which should ideally serve as leverage in the financial inclusion of the under-banked and un-banked populace) in Nigeria, only about sixty percent (60%) of the adult population are banked either through the traditional medium or through the Fintech .
The number of enterprises that have adopted mobile money is low given the lockdown challenges the enterprises were facing at that time. Hence, several factors have been adduced as the major cause of the low penetration of M-money services and other digital financial services in Nigeria including but not limited to prevalence of electronic fraud, high level of illiteracy, poor awareness of the mobile money services by the populace, level of income among the banking populace, regulatory and stakeholders cooperation in mobile money service delivery, among others . Similarly, several factors have also been suggested in literature towards improving the acceptance of mobile money services among the populace, among which include perceived ease of use, trust, low cost of service, increasing usefulness, improving security issues with mobile money services, and increasing the level of transparency in the process of M-money services among others .
Given the rapid spread of the pandemic and uncertainties about its future path at a time when penetration of mobile money services in Nigeria is noticeably low. Hence, to re-evaluate mobile money adoption in the family enterprises in a bid to both contain the spread of the pandemic and achieve the Central Bank of Nigeria’s cashless policy and financial inclusion goals is highly necessary, especially in Ekiti State Nigeria, that requires financial inclusion that was necessitated by rampaging financial insecurity in the area. Furthermore, little is done to comprehend specific responses of mobile users in developing markets to m-payment system , especially Ekiti State, Nigeria. Hence, the need to understand the effect of mobile money adoption on performance of informal family enterprises during covid-19 lockdown in Ekiti state is still found wanting, hence the need for this study.
The remaining part of this paper follow thus: literature review, research method, results and discussion, conclusion, recommendations and area of further studies.
2. Literature Review
2.1. Family Firms
In the last decade, family firm concept has been applied to closely held large firms, whose ownership is concentrated in the hands of small number of owners . However, the knowledge of the responsible ownership concept as it applies to small and medium-sized family enterprises remains underdeveloped, even though most family firms can be categorised as small or medium sized with inclusive of micro enterprises.
The specific nature of family firms creates a context in which ‘due to their ownership, family members enjoy certain control rights over the firm’s assets and use these rights to exert influence over decision-making processes in the firm . This characteristic is further intensified in micro, small- and medium-sized family enterprises. The relevance of these types of firms as well as their specific governance and organisational characteristics requires the further development of the responsible ownership concept and its specific operationalisation.
The development of responsible ownership is particularly relevant in the case of small- and medium-sized family enterprises. First, the family is a specific, relevant stakeholder within this kind of firms whose duties and rights must be balanced with the interests of other stakeholders to ensure the survival of the firm . Second, in addition to its main ownership share, the family has an important effect on the firm because of its influence on firm culture and the involvement of family members in the firm with or without formal or contractual relationships . Third, owner manager overlap is often extensive or even complete in small- and medium-sized family enterprises. Based on asymmetric information, the family – through an individual or a group – frequently governs the firm directly without any other formal mechanism .
2.2. Mobile Payments Acceptance Model in Virtual Social Networks
Theory is a focusing device for viewing phenomenon. However, this study is anchored mobile payments acceptance model in virtual social networks based on the attributes of the theory.
Mobile Payments Acceptance Model (TAM) in Virtual Social Networks (VSN)
Multiple models have been used to measure technology acceptance model. TAM is the most widely used model in the literature on commercial mobile services adoption and use . Most models mentioned in the reviewed literature are based on the TAM in analyzing the acceptance of innovation, albeit with some exceptions. MPAM-VSN (Mobile Payments Acceptance Model in Virtual Social Networks), which integrates factors from various existing models in order to address the behaviour of VSN users in the acceptance of new payment tools.
Research into the acceptance of a new mobile payment system in VSN, users may experience a feeling of uncertainty regarding the consequences of use and, therefore, may opt for the possibility of consulting opinions and experiences from other users through social networks, adding social image to subjective norms, and leading to a new second-order factor. Lu, Yao, and Yu discuss the relationship of TAM-related studies and they incorporate this approach into their model. Therefore, in VSN environment, there is a conceptual relationship between social image and subjective norms; as a desired social value, and as an influence of the social environment on those who use the new payment system. In this case, it has been decided to implement a second-order factor, covering both variables (influence and social image/subjective norms), which is “external influences.
(a) External influences: Social image and subjective norms
Social image and subjective norms are the two classic variables used in TAMs and its later adaptations . Specifically, Riggins defines social image as a “desired social value that each person creates through interaction with others.” While subjective norms are defined as “the degree with which an individual perceives that people who are important to them think they should or should not use a certain system or perform a certain action, etc.” .
(b). Perceived ease of use
Ease of use refers to the individual’s perception that using a certain system is effortless or simply easy to do , hence, perceived ease of use is inversely related to the perceived complexity in the use of technology. Particularly in ecommerce, Vijayasarathy defines perceived ease of use as “the extent to which a consumer believes that online purchasing would be free of effort”. Therefore, this concept is closely linked to the structure of the website, its content, its ease of use, etc.
(c). Perceived usefulness
Perceived usefulness is defined as “the potential consumer’s subjective belief that using a particular system would enhance his or her job performance in an organizational context” . On several occasions, perceived usefulness has also been seen as a perceived relative advantage; for this reason, Maddux and Rogers considers it as “the extent to which an innovation is perceived to be better than its predecessor”. In the online environment, perceived usefulness will indicate that the use of a given technology might be useful for someone to achieve a particular result. Vijayasarathy further defines perceived usefulness as “the extent to which the consumer believes that the online purchase will offer access to useful information, will make offer comparison easier, and will speed up the purchasing process.
For all of the above mentioned reasons, ease of use and perceived usefulness seems to be the two main factors that determine the acceptance and use of innovations. Therefore, given that the new payment tool is considered an innovation within existing payment systems, the usefulness it provides to the consumer will be closely related to its advantages.
(d) Attitude
Attitude as a multidimensional construct, composed of a cognitive, an emotional, and a conative or behavioural dimension. The cognitive component refers to an individual’s knowledge about a product or service (experience, beliefs and opinions); the emotional component refers to the individual’s preferences about a given object (feelings, emotions, and evaluations) and, finally, the conative component is the behavioural intention (purchase intent, purchase response and rejection response).
The main criticism against the concept of attitudes is related to lack of independent measurements, since the majority of consumers respond to the emotional component, which largely complicates the correct measurement of the user’s attitude. Because of the complexity of the classical multidimensional conception of attitude, a one-dimensional conception is established, as a result of which familiarity with the product stands as an antecedent, while a user’s willingness or conative component stands as a direct consequence of emotions (attitude). In this way, the cognitive and conative components are relocated outside the concept of attitude, while the first component is renamed as ‘beliefs’ or ‘knowledge’ and the conative component as ‘intention’. As a result, attitude is expected to make transactions easier in the online environment and to reduce barriers in the adoption of the terms of trade.
(e) The importance of trust and perceived risk
Trust in online purchasing as “the willingness of one of the parties (the purchaser) to be vulnerable to the actions of a virtual establishment, based on the expectations that this virtual establishment will carry out an important action for the customer or purchaser, regardless of his or her ability to conduct or control the virtual establishment”.
Traditionally, trust has been comprised of two basic components: cognitive and behavioural. From the cognitive perspective, Dwyer, Schurr, and Oh defines trust as “one party’s expectation that the words or promises of the other party are reliable and that the other party will fulfill his or her obligations in a relational exchange”. From a cognitive perspective, three types of belief could be identified in literature such as: benevolence, integrity and competence, with psychometric properties adequate to the scale include the capacity to predict the behaviour of the other person in a given situation (predictability).
On the other hand, from a behavioural perspective, trust is defined as “the willingness of a trust or to be vulnerable to the actions of a trustee, based on the expectation that the trustee will perform a particular action, which is important for the trust or, regardless of the capacity of the trust or to survey or control the trustee” . In other words, there is an expression of a willingness or desire to follow a particular pattern of behaviour will influence the acceptance success rate of new technologies such as e-commerce.
2.3. Mobile Money and Family Enterprises
Mobile payment is considered by many experts as one of the applications with the greatest potential in this sector, as the future “star” or “killer” application in mobile communications . Therefore, mobile payment may be defined as a range of mobile commerce services that entail initiated or confirmed payment transactions by means of a mobile phone ; a solution utilizing mobile devices to make transactions, for example, banking transactions or pay bills ; or a business activity involving an electronic device with a connection to a mobile network enabling the successful completion of an economic transaction .
Mobile money mainly consists of the completion of payments and transactions between two parties in a fast, convenient, safe, and simple way, anytime and anywhere, using a mobile device. This payment system presents several advantages for companies and users when compared to alternative payment systems in e-commerce (point-of-sale). Significant advantages for companies and vendors include (among others): increased versatility, considering the large number of existing mobile phones, faster transactions, greater convenience, time-saving, and lower costs (lower discount rates).
2.4. Performance Measurement
Literature on performance measures suggests that there is no consensus on the specific criteria that should be adopted in measuring the success of firms . Some of the most prominent indicators that have surfaced in the literature were output, profits, sales volumes, assets and the number of employees . Meanwhile, Neely et al. viewed that performance measurement is very important since it assists managerial development through collecting and analyzing information. In addition, it helps the organization translate its strategy into results and provides feedback to managers on the progress towards the goals of the organization . Simmons further advances that there are two types of performance measurements: objective and subjective. Objective measures are informed of explicit knowledge (evidence based) while subjective measures are informed of tacit knowledge (Idea based/perception). In addition, financial or accounting measures like profits, returns on sales and returns on assets (ROA) are objective measures. Furthermore, financial performance measures have been criticized as being lagging measures because they give feedback on past performance and can be manipulated by managers . Kaplan and Norton viewed that traditional accounting performance measures show misleading signals for continuous improvement and innovation. Meanwhile, financial performance measures are seen to be reliable, very simple and easy to understand and can be used for prediction . Meanwhile, perception of business owners could transform objective measurement of performance to subjective. This is possible when business owner is able to subjectively employ cost and benefit analysis in his/her business activities. Customer satisfaction and quality of a product or service are also example of non-financial and subjective measures. Subjective performance measures are considered as leading measures because they measure future performance .
3. Research Method
Informal family enterprises in Ekiti State is the target population of this study. One of the reasons for considering informal family enterprises is because of their idiosyncratic importance to the economy in general and populace in particular. Out of the sixteen local Governments, six were randomly selected. The selected local Governments are: (i) Ado-Ekiti, (ii) Ekiti Southwest, (iii) Irepodun-ifelodun, (iv) Oye, (v) Ikere Local Govt. and (vi) Efon Local Government. Primary data were collected by administering questionnaire on the owner/manager of twenty-five (25) informal family enterprises in each of the selected six Local Government Areas in Ekiti state Nigeria, making one hundred and fifty (150) respondents. Out of one hundred twenty-three (123) questionnaire retrieved, only one hundred (100) questionnaire were identified to be properly filled, cleaned and seems usable for this study. However, the cleaned data in this study were analysed with both descriptive and inferential statistics, using Statistical Package for Social Sciences (SPSS 22) software.
4. Results and Discussion
(a). to identify socio-economic characteristics of family enterprises in Ekiti state.
The enterprises considered in this study are in the category of informal enterprises because they have not registered with CAC (Corporate Affairs Commission). Table 1 identify socio economic characteristics of family enterprises in Ekiti state. The table shows that majority (70%) of the respondents are married while only 18% of the respondents are single and 7% are divorced. The implication is that, majority of the respondent seems to be responsible in terms of family responsibility. Furthermore, majorities of the respondents had National Diploma/ National Certificate in Education (27%) and Bachelor of Science/ Higher National Diploma (27%) as their highest educational certificate. The implication is that, owner/managers of the selected enterprises are learned which follow the suit of universal basic education. In addition to that, majorities of the nature of the family enterprises considered are publishing and printing (17%), metal and Aluminum fabrication (19%), poultry and fishery farming (12%) and furniture, upholstery and carpentry (10%). The remaining nature of the family enterprises considered are leather shoe making (5%), graphic designer (5%), automobiles mechanic and panel beaters (2%), Gas seller (5%), tailoring/fashion designer (14%), and dry cleaners (8%). All the aforementioned specialties were possible because individuals are thought to be specialists based on the knowledge they possess . More also, majority (54%) of the family enterprises considered in this study are self-starter while 27% of the family enterprises are owned through inheritance while only 19% of the remaining family enterprises were acquired. The table further shows that majority (87%) of the family enterprises considered in this study have 0-5 employee size while the remaining enterprises have 6-9 employee size. This means that the family enterprises considered in this study are basically micro in scale. Table 1 shows that majority (49%) of the family enterprises rent their workshop while 28% and 17% locate their businesses in their house and permanent site respectively. Only 6% were recorded as no response. Hence, it is expected that business location should influence the business performance.
Table 1. Socio economic characteristics of family enterprises in Ekiti state.

Socio economic characteristics

Frequency

Percentages

Marital status

Single

18

18

Married

70

70

Divorced

7

7

No response

5

5

Total

100

100

Highest Educational Qualifications

Pre-Secondary School Certificate

19

19

Secondary School Certificate

15

15

Diploma/ National Certificate in Education

24

24

Bachelor of Science/ Higher National Diploma

27

27

Post Graduate Degree

5

5

No response

10

10

Total

100

100

Nature of their businesses

Leather shoe making

5

5

Furniture, upholstery and carpentry

10

10

Publishing and printing

17

17

Metal and Aluminum Fabrication

19

19

Graphic Designer

5

5

Poultry and fishery farming

12

12

Automobiles mechanic and panel beaters

2

2

Gas seller

5

5

Tailoring/ Fashion designer

14

14

Dry Cleaners

8

8

No response

3

3

Total

100

100

Method of business ownership

Through inheritance

27

27

Self-starter

54

54

Acquisition

19

19

Total

100

100

Size of the employees of the enterprises

0-5 employees

87

87

6-9 employees

13

13

10 and above employees

-

-

Total

100

100

Business location

My house

28

28

I rent a workshop

49

49

Permanent site

17

17

No response

6

6

Total

100

100

(b). To determine the types of mobile money adopted in the family enterprises during COVID-19 lockdown in Ekiti state;
Table 2 shows the distributions of family enterprises by the type of mobile money adopted. Majority (73%) of the family enterprises adopted Unstructured Short Messages (USSD), followed by mobile app (57%), point of sales (POS) (35%) and online banking (26%). Although, multiple responses are allowed in this case, however, most of the family enterprises are able to use USSD successful due to their educational status. Furthermore, Table 2 shows that majority (85%) of the family enterprises used the adopted mobile money to received payment for products/service received by customers. Followed by mobile money adopted for payment of products supplies by suppliers (59%) and payment of salary (45%).
Table 2. The use of the type of mobile money adopted.

Type of mobile money adopted

Frequency

Percentages

Unstructured Short Messages (USSD)

73

73

Mobile App

57

57

POS (Point of Sales)

35

35

Online banking

26

26

The use of mobile money adopted

Payment of salary

45

45

Payment of products supplies by suppliers

59

59

Received payment for products/service received by customers

85

85

Note: Multiple responses are allowed
(c). To determine the factors influencing the types of mobile money adopted in the family enterprises during COVID-19 lockdown in Ekiti state
Table 3 shows summarily the extent of the agreement of effects of identified factors on mobile money adopted of the selected family enterprises during COVID-19 lockdown from the perspective of mean (M) and standard deviation (SD) in Ekiti state Nigeria. By implication, it shows how clustered is the responses of the family enterprises around the mean. Hence, the mean values of factors that have high effects on mobile money of the selected family enterprises are: (i) Perceived electronic fraud among the family enterprises discourages mobile money adoption (M =4.08, SD =0.932), (ii) Perceived ease of use of mobile money among the family enterprises encourages the adoption of mobile money (M =3.59, SD =0.775). The standard deviation indicates that the selected family enterprises have a unanimous agreement on the effects of the identified factors on mobile money adopted because their responses clustered around the mean values: not scattered.
The mean values of these factors have high effects on mobile money of the selected family enterprises. The mean and standard deviation of the factors are: (i) Perceived low cost of service of use of mobile money among the family enterprises encourages the adoption of mobile money (M =3.98, SD =1.011), (ii) Perceived usefulness of mobile money among the family enterprises encourages the adoption of mobile money (M =3.73, SD =1.018), (iii) Low level of knowledge about mobile money (high level of illiteracy) among the family enterprises discourages mobile money adoption (M =4.02, SD =1.062) and (iv) Perceived trust of use of mobile money among the family enterprises encourages the adoption of mobile money (M =3.57, SD =2.355). The standard deviation values imply that the responses of the selected family enterprises scattered around the mean which indicates that there were scattered responses for some of the selected family enterprises on how the identified factors affects mobile money adopted.
The mean values of these factors also have medium effects on mobile money adopted of the selected family enterprises. The mean and standard deviation of the factors are: (i) Low level of income among the family enterprises discourages mobile money adoption (M =3.37, SD =0.947), and (ii) Poor awareness of the mobile money services among the family enterprises discourages mobile money adoption (M =3.35, SD =0.747). The standard deviation indicates that the selected family enterprises have unanimous agreement of the effects of the identified factors on mobile money adopted because their responses clustered around the mean values; not clustered.
Table 3. The Mean Values of factors influencing the types of mobile money adopted.

Characteristics

Mean

Std. Deviation

Low level of income among the family enterprises discourages mobile money adoption

3.37

0.949

Perceived ease of use of mobile money among the family enterprises encourages the adoption of mobile money

3.59

0.775

Perceived trust of use of mobile money among the family enterprises encourages the adoption of mobile money

3.57

2.355

Perceived electronic fraud among the family enterprises discourages mobile money adoption

4.08

0.932

Poor awareness of the mobile money services among the family enterprises discourages mobile money adoption

3.35

0.747

Perceived low cost of service of use of mobile money among the family enterprises encourages the adoption of mobile money

3.98

1.011

Perceived usefulness of mobile money among the family enterprises encourages the adoption of mobile money

3.73

1.018

Low level of knowledge about mobile money (high level of illiteracy) among the family enterprises discourages mobile money adoption

4.02

1.062

Scale
1 = Not experienced, 2 = Low effect, 3 = Medium effect, 4 = High effect, 5 = Very high effect
(d). To examine the effect of mobile money adopted on the performance of family enterprises during COVID-19 lockdown in Ekiti state
Table 4 shows the effect of mobile money adopted on performance of family enterprises during COVID-19 lockdown in Ekiti state Nigeria. Table 4 shows that 73% (R= 0.730) of relationship exist between the mobile money adopted and performance of family enterprises during lockdown in Ekiti State. The table further shows that about 52% (adj. R2=0.519) of variation in performance of family enterprises in Southwestern Nigeria was explained by mobile money adopted. However, the Table 4 conclusively shows that the relationship between the mobile money adopted is statistically significant (F = 37.933; p = 0.000) on the performance of family enterprises. This implies that mobile money adopted is significantly affecting the performance of family enterprises in Ekiti state in Southwestern Nigeria.
Table 4. Effect of mobile money adoption on the performance of family enterprises during lockdown in Ekiti state.

ANOVAa Model

Sum of Squares

Df

Mean Square

F

Sig.

R

R Square

Adjusted R Square

1

Regression

7524.017

5

1504.803

37.933

0.000b

0.730

0.533

0.519

Residual

6585.169

166

39.670

Total

14109.186

171

a. Dependent Variable: Performance

b. Predictors: Mobile money adoption

5. Conclusion
The study concluded that family enterprises considered are micro scales, and mostly adopted USSD (unstructured short messages) and mobile app including online banking as mobile money adopted by the selected family enterprises. The enterprises used the mobile money adopted for different transactions such as payment of salaries, products bought from suppliers, payment received on products/services sold/rendered to their customers. The study further concluded that the index factors considered in this study are cogent factors that are really influencing the adoption of mobile money. The study also concluded that mobile money adopted are significantly influencing the performance of the selected family enterprises during COVID-19 Lockdown in Ekiti State Nigeria.
6. Recommendation
The study recommends that family enterprises that want to improve their performance especially during pandemic lockdown may adopt mobile money, given the consideration of the factors that are influencing the adoption of mobile money.
7. Areas of Further
The study only considered micro family enterprises in Ekiti State, other studies may consider micro, small and medium family enterprises in Southwestern Nigeria. The study only considered informal family enterprises in Ekiti State, other studies may compare informal and formal enterprises that are micro, small and medium family enterprises in Nigeria.
Abbreviations

COVID-19

Coronavirus

SD

Standard Deviation

M

Mean

ROA

Returns on Assets

CAC

Corporate Affairs Commission

SPSS

Statistical Package for the Social Sciences

GSM

Global System for Mobile Communications

UMTS

Universal Mobile Telecommunications Services

TAM

Technology Acceptance Model

VSN

Virtual Social Networks

ICTs

Information and Communications Technologies

MPAM-VSN

Mobile Payments Acceptance Model in Virtual Social Networks

SMS

Short Message Services

PIN

Personal Identification Number

NIBSS

Nigeria Interbank Settlement Scheme

VL

Virology Laboratory

IMF

International Monetary Fund

SIM

Subscriber Identity Module

USSD

Unstructured Short Messages

Conflicts of Interest
The authors declare no conflicts of interest.
References
[1] Aliyu, S. Y., & Dutse, A. Y. (2019). Effect of perceived ease of use and perceived usefulness on adoption of automation system in academic libraries. Nigerian Academy of Management Journal, 14(1), 22-33.
[2] Amoah-Mensah, A. (2013). Strategic resources and performance of rural SMEs. International journal of business and social research, 3(4), 106-119.
[3] Amin, H. (2008). Factors affecting the intentions of customers in Malaysia to use mobile phone credit cards. Management Research News, 31(7), 495-503.
[4] Berent-Braun, M. M. and Uhlaner, L. M. (2012).‘Family governance practices and teambuilding: paradox of the enterprising family’. Small Business Economics, 38: 1, 103–119.
[5] Carney, M. (2005). ‘Corporate governance and competitive advantage in family-controlled firms’. Entrepreneurship Theory and Practice, 29: 3, 249–265.
[6] Chrisman, J. J., Chua, J. H., Pearson, A. W. and Barnett, T. (2012). ‘Family involvement, family influence, and family-centered non-economic goals in small firms’. Entrepreneurship Theory and Practice, 36: 2, 267–293.
[7] David-West, O., Iheanachor, N., & Kelikume, I. (2018). A resource-based view of digital financial services (DFS): An exploratory study of Nigerian providers. Journal of Business Research, 88, 513-526.
[8] Donckels, R. and Fröhlich, E. (1991). ‘Are family businesses really different? European experiences from STRATOS’. Family Business Review, 4: 2, 149–160.
[9] Dwyer, F. R., Schurr, P. H., & Oh, S. (1987). Developing buyer-seller relationships. Journal of marketing, 51(2), 11-27.
[10] Gerpott, T. J., & Kornmeier, K. (2009). Determinants of customer acceptance of mobile payment systems. International Journal of Electronic Finance, 3(1), 1-30.
[11] Ghezzi, A., Renga, F., Balocco, R., & Pescetto, P. (2010). Mobile payment applications: Offer state of the art in the Italian market. Info, 12(5), 3-22.
[12] Grant, R. M. (1996). Toward a knowledge-based theory of the firm. Strategic management journal, 17(S2), 109-122.
[13] Kaplan, R. S., & Norton, D. P. (1992). The balanced scorecard: measures that drive performance.
[14] Kentikelenis, A., Gabor, D., Ortiz, I., Stubbs, T., McKee, M., & Stuckler, D. (2020). Softening the blow of the pandemic: will the International Monetary Fund and World Bank make things worse?. The Lancet Global Health, 8(6), e758-e759.
[15] La Porta, R., López de Silanes, A., & Shleifer, A. (1999). Corporate ownership around the world. The Journal of Finance, 54(2): 471-517.
[16] Liébana-Cabanillas, F., Ramos de Luna, I., & Montoro-Ríos, F. (2017). Intention to use new mobile payment systems: a comparative analysis of SMS and NFC payments. Economic research-Ekonomska istraživanja, 30(1), 892-910.
[17] Lingle, J. H., & Schiemann, W. A. (1996). From balanced scorecard to strategic gauges: is measurement worth it?. Management review, 85(3), 56.
[18] Lu, J., Yao, J. E., & Yu, C. S. (2005). Personal innovativeness, social influences and adoption of wireless Internet services via mobile technology. The journal of strategic Information Systems, 14(3), 245-268.
[19] Maddux, J. E., & Rogers, R. W. (1983). Protection motivation and self-efficacy: A revised theory of fear appeals and attitude change. Journal of experimental social psychology, 19(5), 469-479.
[20] Matthew, O. M., & Mike, A. (2016). Cashless economic policy in Nigeria: A performance appraisal of the banking industry. IOSR Journal of Business and Management, 18(10), 01-17.
[21] Mayer, R. C., Davis, J. H., & Schoorman, F. D. (1995). An integrative model of organizational trust. Academy of management review, 20(3), 709-734.
[22] Mustakallio, M., Autio, E., & Zahra, S. A. (2002). Relational and contractual governance in family firms: Effects on strategic decision making. Family business review, 15(3), 205-222.
[23] Neely, A. D., Adams, C., & Kennerley, M. (2002). The performance prism: The scorecard for measuring and managing business success (pp. 159-160). London: Prentice Hall Financial Times.
[24] Onifade O. J.; Olomu M. O.; Atoyebi M. K.; Ogunjemilua E. M.; Okpuru O. A. (2021). Learning Technologies Deployment as an Alternative to Traditional Teaching Mode During COVID-19 Pandemic Restrictions in Nigeria. African Journal of Science, Technology and Mathematics Education (AJSTME), 7(1), 86-95.
[25] Otley, D. (1999). Performance management: a framework for management control systems research. Management accounting research, 10(4), 363-382.
[26] Riggins, S. H. (Ed.). (1990). Beyond Goffman: Studies on communication, institution, and social interaction (No. 96). Walter de Gruyter.
[27] Simmons, B. A. (2000). International law and state behaviour: Commitment and compliance in international monetary affairs. American Political Science Review, 94(4), 819-835.
[28] Sorenson, O. (2017). Regional ecologies of entrepreneurship. Journal of Economic Geography, 17(5), 959-974.
[29] Tan, K. L., Memon, M. A., Sim, P. L., Leong, C. M., Soetrisno, F. K., & Hussain, K. (2019). Intention to use mobile payment system by ethnicity: a partial least squares multi-group approach. Asian Journal of Business Research, 9(1), 36-59.
[30] Tonuchi, J. E. (2020). How to improve mobile money service usage and adoption by nigerians in the era of covid-19. International Journal of Finance, Insurance and Risk Management, 10(3), 31-52.
[31] Venkatesh, V., & Bala, H. (2008). Technology acceptance model 3 and a research agenda on interventions. Decision sciences, 39(2), 273-315.
[32] Vijayasarathy, L. R. (2004). Predicting consumer intentions to use on-line shopping: the case for an augmented technology acceptance model. Information & management, 41(6), 747-762.
[33] Weber, R. H., & Darbellay, A. (2010). Legal issues in mobile banking. Journal of Banking Regulation, 11, 129-145.
[34] Wei, G., Xinyan, Z., & Yue, M. (2011). Notice of Retraction: Literature review on consumer adoption behaviour of mobile commerce services. In 2011 International conference on e-business and e-government (ICEE) (pp. 1-5). IEEE.
Cite This Article
  • APA Style

    Ogunjemilua, I. F., Oyebola, A. I., Babatola, F. A., Dada, P. O., Ogunjemilua, E. M. (2024). Mobile Money Adoption and Performance of Informal Family Enterprises During COVID-19 Lockdown in Ekiti State, Nigeria. International Journal of Economic Behavior and Organization, 12(3), 123-132. https://doi.org/10.11648/j.ijebo.20241203.13

    Copy | Download

    ACS Style

    Ogunjemilua, I. F.; Oyebola, A. I.; Babatola, F. A.; Dada, P. O.; Ogunjemilua, E. M. Mobile Money Adoption and Performance of Informal Family Enterprises During COVID-19 Lockdown in Ekiti State, Nigeria. Int. J. Econ. Behav. Organ. 2024, 12(3), 123-132. doi: 10.11648/j.ijebo.20241203.13

    Copy | Download

    AMA Style

    Ogunjemilua IF, Oyebola AI, Babatola FA, Dada PO, Ogunjemilua EM. Mobile Money Adoption and Performance of Informal Family Enterprises During COVID-19 Lockdown in Ekiti State, Nigeria. Int J Econ Behav Organ. 2024;12(3):123-132. doi: 10.11648/j.ijebo.20241203.13

    Copy | Download

  • @article{10.11648/j.ijebo.20241203.13,
      author = {Ifeoluwa Felicia Ogunjemilua and Abiodun Isaac Oyebola and Felix Akinlade Babatola and Pascal Omotayo Dada and Emmanuel Makanjuola Ogunjemilua},
      title = {Mobile Money Adoption and Performance of Informal Family Enterprises During COVID-19 Lockdown in Ekiti State, Nigeria
    },
      journal = {International Journal of Economic Behavior and Organization},
      volume = {12},
      number = {3},
      pages = {123-132},
      doi = {10.11648/j.ijebo.20241203.13},
      url = {https://doi.org/10.11648/j.ijebo.20241203.13},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijebo.20241203.13},
      abstract = {The study was carried out on family enterprises in Ekiti state during COVID-19 Lockdown: to identify socio-economic characteristics of the family enterprises; to determine the types of mobile money adopted; to determine the factors influencing the types of mobile money adopted; and to examine the effect of mobile money adopted on the performance of family enterprises during COVID-19 lockdown in Ekiti state. The study administered questionnaire on one hundred and fifty (150) respondents and retrieved one hundred (100) which was used for the analysis of this study using SPSS (Statistical Package for the Social Sciences). Findings from the study shows that majorities of the respondents had Diploma and Degree as their highest certificate. The nature of the family enterprises considered are publishing and printing, metal and aluminum fabrication, poultry and fishery farming and furniture, upholstery and carpentry, leather shoe making, graphic designer, automobiles mechanic and panel beaters, Gas seller, tailoring/fashion designer, and dry cleaners. Findings from the study further shows that the enterprises were self-started, owned through inheritance and while the remaining were acquired. The study findings show the factors that are influencing the adoption of mobile money by family enterprises in Ekiti State such as: perceived electronic fraud among the family enterprises discourages mobile money adoption; perceived ease of use of mobile money among the family enterprises encourages the adoption of mobile money; perceived low cost of service of use of mobile money among the family enterprises encourages the adoption of mobile money; perceived usefulness of mobile money among the family enterprises encourages the adoption of mobile money; low level of knowledge about mobile money (high level of illiteracy) among others. Findings further shows that mobile money adopted by the family enterprises are significantly influencing their performance in Ekiti State Nigeria. The study concluded that family enterprises considered are micro scales, and mostly adopted USSD (unstructured short messages) and mobile app including online banking as mobile money adopted by the selected family enterprises. The enterprises used the mobile money adopted for different transactions such as payment of salaries, products bought from suppliers, payment received on products/services sold/rendered to their customers. The study further concluded that the index factors considered in this study are cogent factors that are really influencing the adoption of mobile money. The study also concluded that mobile money adopted are significantly influencing the performance of the selected family enterprises during COVID-19 Lockdown in Ekiti State Nigeria.
    },
     year = {2024}
    }
    

    Copy | Download

  • TY  - JOUR
    T1  - Mobile Money Adoption and Performance of Informal Family Enterprises During COVID-19 Lockdown in Ekiti State, Nigeria
    
    AU  - Ifeoluwa Felicia Ogunjemilua
    AU  - Abiodun Isaac Oyebola
    AU  - Felix Akinlade Babatola
    AU  - Pascal Omotayo Dada
    AU  - Emmanuel Makanjuola Ogunjemilua
    Y1  - 2024/08/06
    PY  - 2024
    N1  - https://doi.org/10.11648/j.ijebo.20241203.13
    DO  - 10.11648/j.ijebo.20241203.13
    T2  - International Journal of Economic Behavior and Organization
    JF  - International Journal of Economic Behavior and Organization
    JO  - International Journal of Economic Behavior and Organization
    SP  - 123
    EP  - 132
    PB  - Science Publishing Group
    SN  - 2328-7616
    UR  - https://doi.org/10.11648/j.ijebo.20241203.13
    AB  - The study was carried out on family enterprises in Ekiti state during COVID-19 Lockdown: to identify socio-economic characteristics of the family enterprises; to determine the types of mobile money adopted; to determine the factors influencing the types of mobile money adopted; and to examine the effect of mobile money adopted on the performance of family enterprises during COVID-19 lockdown in Ekiti state. The study administered questionnaire on one hundred and fifty (150) respondents and retrieved one hundred (100) which was used for the analysis of this study using SPSS (Statistical Package for the Social Sciences). Findings from the study shows that majorities of the respondents had Diploma and Degree as their highest certificate. The nature of the family enterprises considered are publishing and printing, metal and aluminum fabrication, poultry and fishery farming and furniture, upholstery and carpentry, leather shoe making, graphic designer, automobiles mechanic and panel beaters, Gas seller, tailoring/fashion designer, and dry cleaners. Findings from the study further shows that the enterprises were self-started, owned through inheritance and while the remaining were acquired. The study findings show the factors that are influencing the adoption of mobile money by family enterprises in Ekiti State such as: perceived electronic fraud among the family enterprises discourages mobile money adoption; perceived ease of use of mobile money among the family enterprises encourages the adoption of mobile money; perceived low cost of service of use of mobile money among the family enterprises encourages the adoption of mobile money; perceived usefulness of mobile money among the family enterprises encourages the adoption of mobile money; low level of knowledge about mobile money (high level of illiteracy) among others. Findings further shows that mobile money adopted by the family enterprises are significantly influencing their performance in Ekiti State Nigeria. The study concluded that family enterprises considered are micro scales, and mostly adopted USSD (unstructured short messages) and mobile app including online banking as mobile money adopted by the selected family enterprises. The enterprises used the mobile money adopted for different transactions such as payment of salaries, products bought from suppliers, payment received on products/services sold/rendered to their customers. The study further concluded that the index factors considered in this study are cogent factors that are really influencing the adoption of mobile money. The study also concluded that mobile money adopted are significantly influencing the performance of the selected family enterprises during COVID-19 Lockdown in Ekiti State Nigeria.
    
    VL  - 12
    IS  - 3
    ER  - 

    Copy | Download

Author Information