Research Article: 2023 Vol: 29 Issue: 3
Olubiyi, Timilehin Olasoji, National Open University of Nigeria
Citation Information: Olasoji. O.T. (2023). Measuring technological capability and business performance Post-Covid era: Evidence from small and medium-sized enterprises (SMEs) in Nigeria. Academy of Entrepreneurship Journal, 29(2), 1-15.
The coronavirus pandemic has resulted in a significant shock to businesses, with negative implications on present production capacity. Simultaneously, technology is being increasingly recommended as a significant means of minimising economic losses caused by the pandemic. Survival and lack of performance of small and medium-sized businesses continue to generate public discourse, intellectual interest, and attention. Though relationship between technological capabilities and business performance is more intricate than is often assumed. Inadequate technological capability is one of the primary factors contributing to business situation. Therefore, relationship between technological capability (TC) and business performance was examined amongst selected small and medium-sized businesses in Lagos State. This study used a survey research methodology with a sample size of 742 owner-managers of chosen SMEs in Lagos State. A questionnaire that was adopted and validated for the study was used to collect data. The questionnaire questions' Cronbach's alpha coefficients range from 0.77 to 0.88. The response rate to the survey was 94.5 percent. Using descriptive and inferential statistics, the acquired data was analysed (Pearson product moment correlation and regression analysis). The examination of the data demonstrated a significant association between technological capacity and small company performance (= 0.090, t = 3.029, F= 245.45 p.05). The conclusion of this research is that technical aptitude is a resource that enhances the performance of small businesses, with theoretical and practical consequences for businesses. It is recommended that the managers of small and medium-sized enterprises (SMEs) in Lagos State use their technology capability as a business resource, since this could help them generate new ideas or enhance existing goods.
Competitive Advantage, Innovation, Knowledge, Market Share, Pandemic, Profitability, Resources, SME’s.
Small and medium-sized businesses (SMEs) account for more than 90% of all businesses worldwide and are the key drivers of social mobility, accounting for seven out of ten employment opportunities (World Bank, 2021). SMEs are regarded as the most important source of employment in every nation. Although the size, number of workers, investment volume, and yearly turnover of SMEs vary, they are regarded as a key sector world-over and drivers of the economy and wealth creation. SMEs all across the world continue to look for avenues and creative techniques to go farther and improve performance, particularly with the outbreak of the novel coronavirus (COVID-19) pandemic in late 2019 (Ozili, 2020; Feng-Jyh, & ChihuFeng, 2021). As a consequence of the emergence of the COVID-19 virus, countries throughout the world have been compelled to react despite minimal knowledge and great uncertainty. The COVID-19 pandemic has therefore deepened the many challenges facing SMEs in particular, creating extraordinary and unprecedented hurdles. The impact has been more severe on developing economies, particularly in Sub-Saharan Africa, Nigeria inclusive (Inegbedion et al., 2020). In recent times in Nigeria, we have seen more businesses reporting low or no profit and, in some cases, no revenue due to the advent of covid-19 and the case of business failures is equally high (Olubiyi, 2022).
According to the Organization of Economic Cooperation and Development (2020) report, the major impact of the pandemic has been the decline in the level of economic and business output of between twenty percent (20%) and twenty-five percent (25%) in many economies, with consumer expenditures perhaps falling by around one-third. Businesses continue to operate, plan, and become more aware of the need to adapt to the "new normal" (Jorda et al., 2020), which is considerably the use of technology to maintain business performance and continuity. In a volatile and dynamic environment, the business resources and competencies can serve as the foundation of competitive advantage. Therefore, technology resources and technological capability have and continue to change the way business is executed and how communication and customer engagement are carried out.
Several published research studies have established a relationship between technology and business performance, primarily in emerging economies such as Russia, India, Brazil, Mexico, and China (Agustia et al., 2022; Blichfeldt & Faullant (2021); (Agustia et al. 2022; Boateng et al., 2021; Boateng et al., 2019; Cirillo et al., 2022; Jiang et al., 2020; Khin & Ho, 2019; Olczyk & Kuc-Czarnecka, 2022; Lee, et al., 2019; Heredia et al., 2019; Olabode et al., 2022). On the contrary, despite the apparent performance improvement possibilities through technological capability, a large number of people in the SME sector have been found to view technological capability and technology usage with skepticism. This is particularly prevalent among the smallest SME businesses, referred to as microenterprises (Cataldo et al., 2020). Even though small and medium-sized businesses (SMEs) in developed countries are getting better at using technology, SMEs in developing countries aren't doing as well.
In Nigeria, small businesses have yet to realize and use technology to improve their performance and business outcomes. According to Olubiyi (2022), most SMEs in Nigeria are still unaware of the advantages of technological capability. A number of studies, including, and, indicate that technological capability and the adoption of technology amongst businesses in Africa, particularly Nigeria, is comparatively low when compared to industrialized nations. According to the rate of technological capability and innovation adoption by small and medium-sized enterprises (SMEs) has remained relatively low. While large organizations have increasingly profit from technological capability than SMEs, by directly increased sales, market share, and even saving costs. According to and a number of reasons, such as insufficient financial resources, have contributed to the low degree of SME adoption of technology for increased performance.
In addition, an extensive literature review indicates no consensus on the relationship between technological capability and business performance (Martínez-Caro et al., 2020; Usai et al., 2021; Zhen et al., 2021). The lack of evidence to establish a positive relationship between technology capability and business performance is the gap this paper addresses. As a result, the goal of this paper is to fill the gap by providing background information on technological capability and business performance, as well as examining the relationship in selected SMEs in Lagos State. The study also seek to contribute to greater understanding of the relationship between the two variables- independent (technological capability) and dependent (business performance).
Concept of Small and Medium Enterprises (SMEs) in Nigeria
In Nigeria, there is no precise definition of SME, and it fluctuates over time and from institution to organization. Various organizations or institutions in Nigeria have defined SMEs in various ways at different periods, but the definitions all contain fixed assets, gross output, and the number of workers as common measures (Bouazza et al., 2015).
Small and medium-sized enterprises (SMEs) are key economic actors and drivers of economic development the world over (Abisuga-Oyekunle et al., 2020; Al-Tayyar et al., 2021; Cataldo et al., 2020; Obinna, 2022; Olubiyi et al., 2019) and indexes of industrialization, modernization, urbanization, and gainful and meaningful employment for all those who are able and willing to work or establish a business. Small businesses have ten (10) to forty-nine (49) employees, whereas medium-sized businesses have fifty (50) to one hundred and ninety-nine (199) employees (Obinna, 2022). The SME sector may help transition to a market economy by creating jobs, producing money, advancing technology, and supporting social development. SMEs may boost social and economic growth, notably in Nigeria. They may also gain management and technical abilities. SMEs account for 96% of businesses and 84% of employment in Nigeria (PWC, 2021). According to the PWC study for 2020–2021, they account for 96% of all enterprises in the country and contribute around 50% of the national GDP.
The SME sector is widely recognized as a key driver of economic development and job creation in both developing and developed nations (Abisuga-Oyekunle et al., 2020; Al-Tayyar et al., 2021; Nugroho et al., 2022). SMEs (businesses with 200 or fewer workers) are the world's biggest business sector. Small and medium-sized businesses play an essential role in the economic and social development of the nation. The performance and growth of small and medium enterprises (SMEs) is a major driver and index for income per capita, equitable income distribution, and the welfare and quality of life enjoyed by the citizenry (Ledwaba et al., 2019).
Technological Capability (TC)
Technological Capability is defined in different forms in the literature. According to technological capability is acquiring, harmonizing, and improving knowledge and capabilities and provides businesses with sustainable innovative capacity and business results. Assert that technological capability is the ability to develop and design new products and processes and to update information about the physical world in novel ways, therefore transferring this knowledge into designs and instructions for the production of desired outputs. According to Skare and Soriano (2021), the whole notion of technological capability may be related to technological knowledge and the capacity to create new goods or processes while using manufacturing know-how to attain greater levels of efficiency. businesses are differentiated and distinct based on their technological capability (Usai et al., 2021) and thus have an impact on innovation, which is a possible source of competitive advantage.
Based on the literature, performance in this research is defined as accomplishing the business objectives relating to sales, profitability, competition, market share, and other strategic goals. However, what defines business performance may vary depending on what the goal of the business is and the context in which it operates. Researchers have defined performance as the achievement of a set of desired outcomes arising from the accomplishment of business goals or marketing objectives (Chittithaworn et al., 2011; Nawal & Ghadah, 2021). Performance is an important phenomenon in any business, particularly small and medium- sized enterprises. enterprises. The achievement of a high degree of performance implies corporate success (Mahmudova & Kovács, 2018). The performance of SMEs is a key indicator for the level of industrialization, modernization, urbanization, employment generation, income per capita, equitable distribution of income, and standard of living by the citizenry (Ugwu, 2021).
Technological Capability and business performance
According to Richardson, (2021) technologies and technological capability are fundamental for companies’ performance and to acquire competitive advantage. More economic transactions have switched online as enterprises resort to digital channels to perform their operations in the aftermath of the COVID-19 shock and economic lockout, with the ability to ameliorate the negative impacts on production (Cirillo et al., 2022; Soluk et al., 2021; World Bank, 2021). From a review of the literature, there are several interesting points worth noting. In recent years, technological capability has come to be viewed as the strategic resource that allows busineses, especially large firms, to create performance differentials within their industry (Nugroho et al., 2022). The resource-based view (RBV) was used as the theoretical lens for this paper, which stated that business gain a competitive advantage through resource capabilities.
As a matter of fact, the role of capability in building competitive advantage has been well documented in the literature on the resource-based view (RBV) (Bergman et al., 2017; Hendi et al., 2022). A resource-based view is an approach in which a company's competitive position in the industry in which it competes is determined primarily by its capabilities and resources. A central premise of RBV is that rival businesses compete on resources and capability (Hendi et al., 2022; Puryantini & Arfati, 2017) and suggests that superior resources and capability enhance business performance (Barney, 1991; Costa, Costa et al., 2018). Technological capability, in particular, represents an important potential source of competitive advantage and superior performance in technologically competitive markets (Yonggui et al., 2006). The resource-based view emphasizes the importance of the business resources and skills in deciding the scope of its operations and laying the groundwork for its long-term strategy.
It also considers how these resources and capabilities serve as the business’s major source of profitability and performance (Hendi et al., 2022; Mahdi et al., 2019; Puryantini & Arfati, 2017). The resource-based view (RBV) holds that a business gains and retains competitive advantage by using limited, valued resources and capabilities (Peteraf, 1993; Wernerfelt, 1984). The resource-based view theory emphasizes that competitive advantage resources are characterised by four key characteristics: value, rarity, inimitableness, and non-substitutionality (VRIN) (Costa et al., 2018; Ferreira & Fernandes, 2017). Technology is one of these assets.
The technological capability of a business is seen as a crucial strategic asset for attaining a competitive advantage in its sector (Hendi et al., 2022). In addition, it is widely proven that technological capability contributes to a business's competitive advantage. Usai et al. (2021) Chen et al. (2021) propose that enterprises should embrace technological change and capability as their core organisational strategy to adapt to changing market demands. Based on the findings of prior research and the gap in the literature, the following hypothesis was developed: H01: Technological capability does not significantly affect the performance of SMEs in Lagos State. Resource integration has a significant positive effect on competitive advantage shows in Figure 1.
The model sheds light on the relationship between technological capability and business performance, which is the research framework.
This paper uses a cross-sectional survey and the methodology of Olubiyi et al. (2019) with a population consisting of owner/managers of selected SMEs in Lagos State that are registered with the Small and Medium Enterprises Development Agency of Nigeria (SMEDAN) in Lagos State to examine the existence of a relationship between technological capability and business performance. The five divisions of Lagos State are Ikorodu (783), Epe (593), Ikeja (4,446), Badagry (5373), and Lagos Island (5373). The population total is 11,665 (SMEDAN, 2016). Lagos State is chosen since it is often recognised as Nigeria's commercial hub. As a result of its cosmopolitan character, Lagos State has the greatest concentration of SMEs in Nigeria (Ajayi, 2010; Akande & Ojukutu, 2008; Olubiyi et al., 2019). The research adopted a multistage sampling strategy, which included both stratified and random sample procedures. This required dividing the SMEs in the state of Lagos into five strata, namely Badagary, Epe, Ikeja, Ikorodu, and Lagos Island, from which a proportional sample was drawn. The implementation of a multi-stage methodology resulted in a representative sample of the SMEs, since they operate in various areas across Lagos State. According to Olubiyi et al., (2019) the basic random sample used offered each element an equal chance of being picked.
The Table 1 provides an overview of how the sample size is allocated across the chosen strata, with the respondents chosen using a simple random sampling process.
The Five Divisions Of Lagos State With Employees And Proportionate Numbers
|S/N||Five Division in Lagos State||Population Size Per division||Total Population||Sample Size||Proportionate Sample Size||Sample %|
Source: Researcher's Computation (2022)
The sample size for this research was calculated using the Cochran (1997) formula. The formula is:
n = sample size
N = Total number of registered SMEs in Lagos State (N= 11,663)
Z = 95% Confidence Interval (Z = 1.96),
P = 0.5
q = 1 – p
d = degree of accuracy or estimation (d = 0.04)
To account for non-response and incorrectly completed questionnaires, the sample size was expanded by 171, or 30% of the entire sample size. This is what researchers suggest (Zikmund, 2000). Consequently, 30% of 571 equals 171. The sample size is then calculated as n = 571 + 171 = 742, suggesting that the sample size is 742. This study uses descriptive and inferential statistical analysis to analyse its data. For the purpose of testing the study's hypotheses, descriptive analysis is performed first, using the percentage distribution, mean, and standard deviation arranged in Tables. This is followed by inferential analysis, which is performed using simple linear and multiple regression and the Pearson Correlation method of analysis with the aid of IBM SPSS Software Version 22.0 shows in Table 2.
List Of Small Businesses By Divisions In Lagos States Nigeria
|Small business sector||Ikorodu||Badagry||Ikeja||Lagos Island||Epe||Total|
Source: Researcher's Computation (2022)
The researcher distributed 742 copies of the questionnaire to the respondents. The received and fully completed copies totaled 701 and were considered usable for the analysis. This represents a response rate of about ninety-nine percent (94.5%), which was considered adequate in this paper. Table 3 presents the results of the response rate.
|Completed usable copies of questionnaire||701||94.47|
|Unreturned/Incomplete copies of questionnaire||41||5.53|
Model Summary of Regression on the Effect of Technological capability on growth of SMEs in Lagos state
(A) Model Summary
|Model||R||R Square||Adjusted R Square||Std. Error of the Estimate|
|Predictors: (Constant), Technological Capability|
Source: Field Survey, 2022
|Model||Sum of Squares||Df||Mean Square||F||Sig.|
|a.Dependent Variable: SME Performance
b.Predictor (Constant) Technological capability
|Model||Unstandardized Coefficients||Standardized Coefficients||T||Sig.|
|Dependent variable: SME Performance|
Source: Researcher’s result, 2022
Table 4,5,6 presents regression results on the effect of technological capability on SME performance of selected SMEs in Lagos State. The results presented in Table 3 show that technological capability significantly and positively affect performance of selected SMEs in State at 5% significance level (P= 0.090, t=3.029, p<0.05). The goodness of fit model presented in Table 4(a) shows that there is a positive relationship between technological capability and SME performance (R=0.115, p<0.05). This is further confirmed by coefficient of determination (R) of 0,013. Table 6, 1.3% of the variation in SME performance was explained by variation in technological capability while 98.7% of the variations remaining is unexplained by the model. This implies that there are other factors associated with SME performance which were not included in the model. Table 5(b) provides the results of the regression analysis of the variance (ANOVA). The results reveal that the overall model was statistically significant. This was supported by an F statistics of 245.45 and the p-value was 0.000 which was less than the conventional probability of 0.05 significance level. The effect of technological capability on SME performance is summarized by the regression model as follows:
SP = 24.092 + 0.090TC ............................................................eq. (1)
SP: SME Performance
TC = Technological Capability
The regression model shows that when the value of technological capability is constant at zero, SME performance takes value of 24.092 implying that without technological capability, performance of selected SMEs in Lagos State was 26.808. The coefficient of technological capability was 0.090, implying that a unit increase in technological capability will lead to a 0.090 increase in; growth of selected SMEs in Lagos State. From the results, technological capability significantly affects performance of selected SMEs in Lagos State. This effect is positive as indicated by the regression coefficient (B=0.090). This implies that as the technological capability become favourable, there is an increase in performance of selected SMEs in Lagos state. Based on these findings, the null hypothesis which; sates that technological capability does not significantly affect the performance of SMEs in Lagos state is hereby rejected.
The finding of the hypothesis revealed that technological capability significantly affects the performance of SMEs in Lagos state. The finding is in consistent with the conceptual framework and these studies (Agustia et al., 2022; Anwar & Graham, 2021; Blichfeldt, & Faullant, 2021; Boateng et al., 2019; Costa et al., 2018; Cirillo et al., 2022; Jiang et al., 2020; Agustia et al., 2022; Khin & Ho, 2019; Lee et al., 2016; Ma et al., 2019; Mahdi et al., 2019; Makhloufi et al., 2018; Nugroho et al. (2022). Furthermore, the effects of technological capability are contingent on several contextual factors. The findings of this paper provide more useful suggestions for SMEs and entrepreneurs to leverage technological capability for superior business performance. The study identified tech-level variations across the surveyed businesses in Lagos State. In high-tech businesses (services companies and manufacturing industry), it was found that a direct association exist between technology capability and performance particularly on the profitability and sales growth, whereas in low-tech firms (real estate and agriculture), low technology capability and low technology adoption exist in Lagos State. Overall, the technology capability is required in order to adopt, adapt and modify product innovation.
The major findings of the study are that technological capability does significantly affect the performance of SMEs in Lagos state ( = 0.090, t=3.029, F=245.45 p<0.05); The study also concludes that technological capability significantly affects the business performance of SMEs in Lagos state, therefore, SMEs should not be technologically constrained. The key theoretical contribution is that, while supporting the general thrust of the resource-based theory, this paper offers important qualifications to the theory in respect of technological capability as a resource. The findings of this paper suggest specific implications for SMEs and businesses in general. For example, it discusses the direct effects of business’ capabilities on business performance and tends to presume that a whole host of competitive advantages will fall into place when business invest in unique resources like technology. The findings of this paper will have significant practical implications for public and private Nigerian policymakers. It will allow them, including entrepreneurs, to better understand the technological capability of SMEs and the challenges impacting their deployment of technology in Nigeria. As a result, it is recommended that the management of SMEs and owner-managers in Lagos State utilize technological capacity as a business resource since it may be beneficial for innovations or product developments. SME technological capabilities and adoption post-COVID era may provide customers with differentiation and convenience, hence enhancing business performance. Such technology capability can be designed around, packaging, delivery, usability, automation, and product variety. This study contributes to the knowledge base for a better understanding of the technological capability of small businesses in Nigeria.
The study has limitations that need to be acknowledged. It recognized that the findings and implications of this paper are situated within Lagos, Nigeria, and primarily small businesses were the focus, which may limit the generalizability of the findings. Therefore, the cross-sectional nature of the paper prevents the author from making strong claims of causality. The study could be expanded with similar studies conducted across large businesses or publicly traded companies in Nigeria or other countries. The sample size can be raised by considering more respondents with innovative data gathering techniques to achieve more generalizability and trustworthiness. For this research, the absence of data in the majority of small businesses in Lagos was the greatest challenge to obtaining objective performance measurements. For this reason, the non-financial performance indicators were adopted. According to Khalil et al. (2021), subjective measurements may be produced in the absence of objective measures. Nonetheless, the limitations of this research, can be recognized as research gaps for future studies, and further replicated studies across different samples, regions, and countries are recommended.
Timi Olubiyi Consulting
The author proposed the research topic, model, approach, and independently authored the paper
There was no financing received; nevertheless, personal support was available.
Declaration of Competing Interest
There are no conflicting interests, according to the author. The author further declares that he has no known competing financial interests or personal relationships that might have influenced the work disclosed in this study.
Dr. T.O. Olubiyi is a well-known author, researcher, and business expert. Dr. Timi Olubiyi, as he is affectionately known, is a seasoned professional of repute. He has relevant expertise in the Nigerian financial industry, and academia, including public service. His background includes stockbroking, fund management, consulting, and education. An affiliate of the Department of Business Administration and Marketing Babcock University Nigeria, affiliate of Babcock Centre for Executive Development Ogun State, Nigeria and facilitator and project supervisor at the Department of Business Administration National Open University of Nigeria. Dr. Timi Olubiyi has supervised academic thesis of over thirty (30) Master’s Degree (M.Sc., MBA) students, including Postgraduate Diploma and B.Sc. students. He has presented in many international conferences and published several papers and opinions in high impact academic journals and several renowned newspapers worldwide, in his diverse area of research interests which cover small business, entrepreneurship, innovation, knowledge management, enterprise continuity, succession, strategy, policy and leadership. An academic and peer reviewer and member of editorial board of many high impact journals including Scopus and DOAJ -indexed.
Abisuga-Oyekunle, O.A., Patra, S.K., & Muchie, M. (2020). SMES in Sustainable Development: Their Role in Poverty Reduction and Employment Generation in sub-Saharan Africa. African Journal of Science, Technology, Innovation and Development, 12(4), 405–419.
Agustia, D.,Haryanto, S.D.,Permatasari, Y.& Midiantari, P.N.(2022). Product innovation, firm performance and moderating role of technology capabilities.Asian Journal of Accounting Research.
Ajayi, P. (2010). Poverty constraints and infrastructure: From the economic perspective. Journal of Sociological Studies, 5(3), 108-123.
Akande,O., & Ojikutu, R. (2008). The impact of entrepreneurship skills on small business performance in Lagos-South Western Nigeria, Paper presented at InternationalCouncil of Small Business,53rd World Conference, Halifax, Nova Scotia,Canada.
Al-Tayyar, R.S.D., Abdullah, A.R.B., Rahman, A.A., & Ali, M.H. (2021). Challenges and obstacles facing SMEs in the adoption of e-commerce in developing countries; A case of Saudi Arabia. Studies of Applied Economics, 39(4), 115-137.
Anwar, M.A., & Graham, M. (2021). Between a rock and a hard place: Freedom, flexibility, precarity and vulnerability in the gig economy in Africa. Competition & Change, 25(2), 237-258.
Arslan, F., Bagchi, K.K., & Kirs, P. (2019). Factors implicated with firm-level ICT use in developing economies.Journal of Global Information Technology Management,22(3), 179–207.
Bergman, M. M., Bergman, Z., & Berger, L. (2017). An empirical exploration, typology, and definition of corporate sustainability. Sustainability (Switzerland), 9(5), 1–13.
Blichfeldt, H., & Faullant, R., (2021). Performance effects of digital technology adoption and product & service innovation A process-industry perspective,"Technovation, Elsevier,105(C).
Bouazza, A.B., Ardjouman, D. & Abada, O. (2015). Establishing the factors affecting the growth of small and medium sized enterprises in Algeria. American International Journal of Social Science, 4(2).16-31.
Boateng, H., Kosiba, J.P.B., & Okoe, A.F. (2019). Determinants of consumers’ participation in the sharing economy: A social exchange perspective within an emerging economy context. International Journal of Contemporary Hospitality Management, 31(2), 718-733.
Cataldo, A., Pino, G., & McQueen, R.J. (2020). Size Matters: The impact of combinations of ICT Assets on the performance of Chilean Micro, Small and Medium Enterprises. Information Technology for Development, 26(2), 292–315.
Casseta, E., Monarca, U., Dileo, I., Berardino, C., & Pini, M. (2020). The relationship between digital technologies and internationalisation, evidence from Italian SMEs.Industry and Innovation,24(4), 311–339.
Chittithaworn, C., Islam, M. A., Keawchana, T., & Yusuf, D. H. M. (2011). Factors affecting business success of small & medium enterprises (SMEs) in Thailand.Asian Social Science,7(5), 180–190.
Cirillo,V., Fanti, L., Mina, A & Ricci, A. (2022).New digital technologies and firm performance in the Italian economy,Industry and Innovation.
Costa, M. F. Da-Costa, C. E., Angelo, C. F. de, & Moraes, W. F. A. de. (2018).Perceived Competitive Advantage of Soccer Clubs: a Study Based on the Resource-Based View. RAUSP Management Journal, 53(1), 23–34.
Deng, H., Duan, S. X., & Lou, F. (2019). Critical determinants for electronic market adoption: Evidence from Australian small and medium-sized enterprises.Journal of Enterprise Information Management,33(2), 335–352.
Feng-Jyh, L., & ChihuFeng, L., (2021). Key factors affecting technological capabilities in small and medium-sized Enterprises in Taiwan,"International Entrepreneurship and Management Journal, Springer, 17(1), 131-143,
Ferreira, J., & Fernandes, C. (2017). Resources and capabilities' effects on firm performance: what are they? Journal of Knowledge Management, 21(5), 1202–1217.
Hendi , Y., Zainul, B., & Willy A. (2022). Analysis of improving competitive advantage for startup business in Indonesia. International Journal of Economics, Business and Management Research, 6(2).
Heredia, J., Geldes, C., Kunc, M.H. & Flores, A. (2019). New approach to the innovation process in emerging economies: The manufacturing sector case in Chile and Peru. Technovation, 79, 35-55.
Ikupolati, A.O., Medubi, R.D., Obafunmi, M.O., Adeyeye, M.M., & Oni, E.O. (2017). Small and medium enterprises (SMEs) as a source of human capacity building in Nigeria. Journal of Small Business and Entrepreneurship Development, 5, 35-42.
Inegbedion, H.,Inegbedion,E.,Obadiaru,E., Asaleye,A.,Ayeni,A., & Aremu, C., (2020). Cassava attractiveness in Nigeria: A policy improvement approach. Journal of Agri-Business Development And Emerging Economics,10(2) 157-175.
Jiang, W., Mavondo, F. & Zhao, W. (2020). The impact of business networks on dynamic capabilities and product innovation: the moderating role of strategic orientation. Asia Pacific Journal of Management, 37(4), 1239-1266.
Jorda, O., Singh, S.R., & Taylor, A.M(2020). National Bureau of Economic Research; Longer-run economic consequences of pandemics. (Report no. w26934)
Obinna, G.B.E. (2022). Prospects, Limitations and Challenges in the Concept and Application of ICT on SMEs in Rivers State. International Journal of Business Systems and Economics, 13(5), 117–129.
Olabode, O. E., Boso, N., Hultman, M., & Leonidou, C. N. (2022). Big data analytics capability and market performance: The roles of disruptive business models and competitive intensity. Journal of Business Research, 139, 1218–1230.
Olczyk, M., & Kuc-Czarnecka, M. (2022). Digital transformation and economic growth – DESI improvement and implementation.Technological and Economic Development of Economy,28(3), 775–803.
Olubiyi, T. (2022), Post COVID-19 struggles and customer expectations, The Guardian Newspaper https://guardian.ng/opinion/post-covid-19-struggles-and-customer-expectations/ 7th June, 2022.
Olubiyi, T. O., Egwakhe, J., Akinlabi, B. H, (2019). Knowledge management and family business continuity: the moderating effect of length of time in existence. Global Journal of Management and Business Research, 19(5),29-35.
Khin, S.,& Ho, T.C. (2019). Digital technology, digital capability and organizational performance: A mediating role of digital innovation. International Journal of Innovation Science.
Kryzhanovskij, O.A., Baburina, N.A., & Ljovkina, A.O. (2021). How to make digitalization better serve an increasing quality of life? Sustainability, 13(2), 611.
Ledwaba, N.F., Pelser, G.P., & Fatoki, O.O. (2019). The use and benefits of e-technology business applications. IPADA Conference Proceedings, 16-22.
Lee,R.,Lee,J.H.&Garrett,T.C.(2019). Synergy effects of innovation on firm performance.Journal of Business Research, 99, 507-515.
Mahmudova, L., & Kovács, J.K. (2018). Defining the performance of small and medium enterprises. Network Intelligence Studies, 12, 111–120.
Mahdi, O.R., Nassar, I.A., & Almsafir, M.K. (2019). Knowledge management processes and sustainable competitive advantage: An empirical examination in private universities. Journal of Business Research, 94, 320–334.
Makhloufi, L., Yaacob, N. A., & Yamin, F. M. (2018). Investigation on the Relationship between IT and Core Competency on the Sustainable Competitive Advantage of Malaysian SMEs. Journal of International Business and Management, 1, 1–15.
Martínez-Caro, E.,Cegarra-Navarro, J.G.&Alfonso-Ruiz, F.J.(2020). Digital technologies and firm performance: The role of digital organisational culture. Technological Forecasting and Social Change,154.
Mithani, M.A.(2020), Adaptation in the face of the new normal. Academy of Management Perspectives,34(4)508-530.
Mkansi, M., De-Leeuw, S., & Amosun, O. (2020). Mobile application supported urban-township e-grocery distribution.International Journal of Physical Distribution and Logistics Management,50(1), 26–53.
Nawal, A. A&Ghadah, A. (2021). Innovation practices for survival of small and medium enterprises (SMEs) in the COVID-19 times: the role of external support. Journal of Innovation and Entrepreneurship 10, 15- 40.
Nugroho, A., Prijadi, R., & Kusumastuti, R. D.(2022).Strategic orientations and firm performance: The role of information technology adoption capability.Journal of Strategy and Management.
Otoo, A. A. A., Otoo, C. O. A., & Antwi, M. O. (2019). Influence on organisational factors on E-business value and E-commerce adoption.International Journal Science Research Science Engineering Technology,6(5), 264–276.
Ozili, P.K.(2020) COVID-19 Pandemic and Economic Crisis: The Nigerian Experience and Structural Causes https://ssrn.com/abstract=3567419
PWC (2021). Nigeria SME survey. Accessed from https://www.pwc.com/ng/en/events/nigeriasme-survey.html on 18/05/2022.
Puryantini, N., & Arfati, R. (2017). Pengaruh Knowledge Management Terhadap Kinerja Organisasi Dimediasi Inovasi di Organisasi Penelitian Pemerintah. Berkala Akuntansi. Dan Keuangan Indonesia, 2(2), 21–38.
Richardson, L. (2021). Coordinating office space: Digital technologies and the plat formization of work. Environment and Planning D: Society and Space, 39(2), 347–365.
Rodrigues, J., Ruivo, P., & Oliveira, T. (2021). Mediation role of business value and strategy in firm performance of organisations using software-as-a-service enterprise applications. Information & Management, 58(1), 103289.
Rocha, L.A., Cárdenas, L.Q., Silva, N.G.A., & de Almeida, C.A.S. (2021). The Covid-19 Pandemic and its Impact on the Performance of Firms: An Analysis Based on World Bank Microdata.The Journal of Developing Areas,55(3), 411-433.
Scuotto, V., Nicotra, M., Del Giudice, M., Krueger, N., & Gregori, G. L. (2021). A microfoundational perspective on SMEs’ growth in the digital transformation era. Journal of Business Research,129, 382-392.
Skare, & Soriano (2021). How globalization is changing digital technology adoption: An international perspective. Journal of Innovation & Knowledge, 6(4), 22–223.
Soluk, J., Miroshnychenko, I., Kammerlander, N., & De Massis, A. (2021). Family influence and digital business model innovation: The enabling role of dynamic capabilities. Entrepreneurship Theory and Practice, 45(4), 867–905.
Soto-Acosta, P. (2020). COVID-19 pandemic: Shifting digital transformation to a highspeed gear. Information Systems Management, 37(4), 260–266.
Troise, C., Corvello, V., Ghobadian, A., & O'Regan, N. (2022). How can SMEs successfully Navigate VUCA environment: The role of agility in the digital transformation era Technological Forecasting and Social Change,174.
Ugwu, F.I. (2021) Role of entrepreneurship growth on the performance of small and medium enterprises in South-East, Nigeria. International Journal in Management and Social Science, 9(8), 56-78.
M.Umar,Y.Xu,S.S.Mirza (2021). The impact of Covid-19 on Gig economy Economic Research-Ekonomska Istra?ivanja,34(1),2284-2296.
Usai, A., Fiano, F., Petruzzelli, A. M., Paoloni, P., Briamonte, M. F., & Orlando, B. (2021). Unveiling the impact of the adoption of digital technologies on firms’ innovation performance. Journal of Business Research, 133, 327–336.
Vega-Muñoz, A., Bustamante-Pavez, G., & Salazar-Sepúlveda, G., (2019). Orange economy and digital entrepreneurship in Latin America: Creative sparkles among raw materials Handbook of research on digital marketing innovations in social entrepreneurship and solidarity economics,IGI Global182-203
World Bank, Small & Medium Enterprises (SMEs) Finance (2021): Improving SMEs’ Access to Finance and Finding Innovative solutions to Unlock Sources of Capital.
Yonggui, W., Hing, P., Quan, z., & Youzhi, X., (2006). How technological capability influences business performance. Journal of Technology Management in China, 1(1) 27–52.
Zhou, X., Cai, Z., Tan, K.H.,Zhang, L., Du, J.,& Song, M. (2021), Technological innovation and structural change for economic development in China as an emerging market Technological Forecasting and Social Change,167Article120671.
Zhen,Z.Yousaf, Z., Radulescu,M.,& Yasir, M. (2021) Nexus of digital organizational culture, capabilities, organizational readiness, and innovation: Investigation of SMEs operating in the digital economy Sustainability,13(2),720.
Received: 03-March-2023, Manuscript No. AEJ-23-12629; Editor assigned: 06-March-2023, PreQC No. AEJ-23-12629(PQ); Reviewed: 21-March-2023, QC No. AEJ-23-12629; Revised: 23-March-2023, Manuscript No. AEJ-23-12629(R); Published: 26-March-2023