SMACIT is an acronym encompassing five transformative technologies: Social, Mobile, Analytics, Cloud, and Internet of Things- key enablers in shaping contemporary businesses and leading the path towards digital transformation. These combined technologies create a vibrant ecosystem that connects businesses with customers in new and interesting ways, gathering important data for decision-making or delivering novel services (Jingya, 2021; Bhuyean et al., 2025).

Today, we stand on the cusp of a new era of digital transformation where the combined impact of rapidly expanding social media networks, mobile connectivity, sophisticated analytical capabilities, and cloud computing power spurs unparalleled opportunity for your business (Cueto LJ, 2022). Individually, these things are game-changing, but together they form an entirely new way to think about business strategy and operations. But companies that only bolt these advances onto their existing business are squandering a huge opportunity. While the most forward-looking institutions are not merely spending on technology but redefining their entire business models to fully leverage what these front-edge technologies provide (Riera & Iijima, 2019). A proactive strategy such as this is how to win the new digital age. In general, entrepreneurs contribute significantly to driving financial growth, especially in less developed countries where they drive innovation, create jobs, and foster social development. The COVID-19 pandemic has cast a dark shadow over various entrepreneurial activities (Raju, 2021). The implementation of digital technologies in entrepreneurship education was fairly modest before the pandemic, centred mainly around practical, experience-based methods requiring physical presence. However, the pandemic crisis made a radical turn in favor of remote work, which changed the game for many online entrepreneurs (Tasmilah, 2022; Ayman Abu-Rumman, 2022) stated that the emergence of modern technologies has left a profound impact on entrepreneurship in developing nations, particularly in the wake of the COVID-19 pandemic. Digital innovations have played a pivotal role in empowering online entrepreneurs to pivot and endure amidst the crisis, while also opening up novel prospects for advancement and expansion. In a study conducted in Indonesia, it was discovered that digital technology and internet usage had a discernible and adverse impact on the transition of formal entrepreneurship during the pandemic (Firdaus Abdullah, 2009). This implies that entrepreneurs who harnessed digital tools were more inclined to uphold their formal business status rather than transitioning into informal entrepreneurship or exiting the sector altogether. To help entrepreneurs, the utilization of digital technology proved influential for sales and promotional purposes (Ssekiziyivu, 2024). Notably, while digital techno-logies have been very influential for entrepreneurs, they also have their particular challenges. (Koster, 2008) stated that in the wake of the COVID-19 pandemic, the emergence of modern technologies has left a reflective impression on entrepreneurs and online- entrepreneurs also face the impact. In empowering entrepreneurs on digital platforms, digital technologies played a pivotal role in enduring the crisis. It also opens up innovative prospects for enlargement and progression. These findings underscore the significance of addressing these obstacles to fully harness the potential of digital entrepreneurial opportunities in the developing world. In conclusion, new technologies have played a huge role in entrepreneurship in developing countries prior to and after the pandemic (F Okocha, 2019). 

While these technologies have afforded opportunities for resilience and ingenuity, they have also emphasized the requirement for tailored support and infrastructure development (Neumeyer X. S., 2021). As countries maneuver the post-pandemic landscape, policies promoting digital literacy, wider internet access, and uptake of digital tools will be essential to promote entrepreneurship and stimulate economic recovery in developing economies (Zheng L, 2022). Entrepreneurs have identified some barriers that can prevent their digital entrepreneurship, such as the necessity for specific competencies, the availability of high-quality internet, and digital marketing challenges (Nipo et al., 2024). Accordingly (Alshowaikh & Mubarak, 2025), these issues need to be resolved in order to make the best use of the digital medium in entrepreneurship in developing economies, for those are the countries most affected by the issues. First and foremost, it is worth noting that the application of modern technologies has been taking place in the entrepreneurship of developing economies during the COVID-19 pandemic, to a large extent (KHAN, 2020). Nevertheless, such advances have also raised the need for adequate support systems and infrastructure, while encouraging creativity and flexibility, these technologies pointed to the very need for them to be implemented (Cueto LJ, 2022; Tamanna M., 2024). With the onset of the post-COVID economy, it is suggested that policies directed towards the promotion of digital capabilities, provision of internet services, and encouraging technological application, especially with regard to Bangladesh's small and medium industries, should be viewed as a strategy for enhancing its entrepreneurship and economic recovery in the mid-term future (Kézai, 2023; Tamanna M. S., 2024).

The reviewed papers focused specifically on SME businesses and other natures of businesses in certain countries. This paper focuses on online entrepreneurs in Bangladesh. To gain a comprehensive understanding of how technology tools, especially those related to social, mobile, analytics, cloud, and the Internet of Things (SMACIT), impact entrepreneurs in developing countries like Bangladesh, this study aims to provide an overview. The purpose of this research paper is to study how new technologies impacted entrepreneurship in developing countries and examine the COVID-19's impact. This will help frame limitations and opportunities faced by entrepreneurs online, and how the role of digital technologies changes entrepreneurial activities. The paper encompasses a literature review, following the theoretical model and hypothesis development. Next, the methodology includes data analysis and findings. Lastly, it concluded with a discussion & conclusion. 

Research Scope

This paper examines the technology adoption trends among online-entrepreneurs in developing countries, such as Bangladesh. It also investigated the role of emerging technologies (Social, Mobile, Analytics, Cloud, and Internet of Things) in shaping entrepreneurial opportunities. Finding the barriers or limitations faced by entrepreneurs in implementing new technologies. This research also deals with the following questions:

RQ-1 How has the integration of modern technologies impacted the online entrepreneurial sector of Bangladesh after the pandemic?

RQ-2 What are the key opportunities and limitations of technology adoption for entrepreneurs, and what has changed in the pandemic?

Research Objectives

This study investigated the impact of SMACIT tools on entrepreneurs in developing countries. This research aims for the following:

1. To investigate the role of contemporary technologies in altering entrepreneurial activities in a specific developing country.
2. To approximate the influence of the COVID-19 pandemic on the online entrepreneurs of Bangladesh.  
3. To diagnose the barriers or limitations of technology adoption pre- and post-pandemic for entrepreneurs.

In (Kreiterling, 2023) it is reported that the origin of the pandemic, in developing countries, has significantly affected entrepreneurship. Even before the pandemic, digital transformation had identified online entrepreneurship as an emerging area. Over the past few decades, digital technology has developed so fast, with the remarkable progress of computing, communication, and information (Biclesanu et al., 2021). Digital transformation has also opened doors for online entrepreneurs and innovators. Given the pace of digitalization, enhanced through educational evidence, the potential of the tools is being well-realized (Samara & Terzian, 2020; Bahadur Ali Soomro, 2021). Based on the empirical facts, entrepreneurship, especially the SMEs, has demonstrated a high capacity to spot and capitalize on fluctuations in market trends (Sitaridis & Kitsios, 2023). Entrepreneurship businesses during the COVID-19 pandemic have been confronted with unanticipated changes in consumer demand, changing market trends, and governmental regulations to suppress the spread of the virus (Mei Chen, 2023). And with tech experts, innovation did spiral up across the entire economy during the pandemic. This worldwide disruption provides online entrepreneurs with the opportunity or the challenge, depending upon their organizational culture, to deploy new technologies and to reshape business models (Shasha, 2023; Shaifullah and Hossain, 2025).

Theoretical Framework

In this study, the researcher utilizes a dynamic triad of theories to unpack the complex relationships between many variables. The theories consisted of the Dynamic Capabilities Theory (DCT), and the Technology–Organization – Environment (TOE) framework. The TOE framework draws attention to how organizations approach their adoption of technology. Each organization was faced with an ever-changing external environment that created layers of pressure to adopt technologies (Baker, 2011). The present study demonstrates with vivid clarity how adoption of technologies – encompassing many types of technologies such as social media, cloud computing, and Internet of Things (IoT), but also, kinds of technology orientation such as culture of being a digital organization, and leadership involving expertise in technology – affected entrepreneurship in the post-pandemic context. As it turns out, organizations with the necessary technological and organizational readiness not only survived the pandemic but thrived and learned important lessons about their adaptation to new realities. Dynamic capabilities theory sought to explain how organiz-ations experienced, thought through, restructured, sensed, and seized opportunities in a competitive environment characterized by rapid, disruptive, continuous change, as exemplified by the disruption caused by the pandemic (Bleady et al., 2018). The framework explained how businesses needed to reshape the ways in which they did business and learn to capitalize on new opportunities as they sensed them, ultimately, which translates into a growing organizational crisis. This theory explained how online entrepreneurs made sense of their use of technology, their speed of innovation, as a way to adapt their company or organization and reconfigure their business to deal with the unsettling transformations and crises created through the disruption associated with the pandemic. Altogether, these theories represent a perspective of the significant transformations that organizations were delivering across essential areas and how different the world seemed after COVID-19.

Hypothesis Development

This research uses theories to analyze an integrated model within its scope. It combines two important concepts from Technology-Organization-Environment (TOE) and dynamic capabilities theory regarding the different types of technology and innovation. It is expected that these factors will significantly influence entrepreneurial performance, innovation, and the rate at which innovation occurs. In addition, the joint effect of technology orientation and financial support is assumed to have a very meaningful impact on innovation and the rate of entrepreneurial activity. The combination of TOE with dynamic capabilities makes this discussion more robust through the inclusion of critical elements such as the speed of innovation, innovation, entrepreneurial performance, and the relationship between the variables of technology orientation with financial support and business performance. These advanced relationships and hypotheses shall be elaborated in the subsequent sections of this paper.

Technology types

In (Jingya, 2021) he highlights how this research demonstrates the essentiality of technology to gain a competitive advantage for organizations. There is evidence showing that SMACIT (Social, Mobile, Analytics, Cloud, and Internet of Things) will enhance operational efficiency, security measures, and the ability to quickly adopt industry advancements. (Oduro et al., 2023) discusses how a strong technology orientation contributes to agility and innovation in organizations in an ever-changing environment. This research investigates the effect of a pandemic on technology orientation and provides important context for managing recent unanticipated shocks (Wedda & Bolatan, 2024; Alshowaikh & Mubarak, 2025) Comprehensive research included the use of advanced models, SMACIT, and the assimilation of these to improve current processes and secure data from organizations. It was observed that they benefit the organizations by speeding up turnaround time and by promoting interaction between various sections in the organizations (Jonny et al., 2021). Strategically, it explored the employment of SMACIT by the businesspeople in Bangladesh (Fig. 1).

H1: Technology types have a significant effect on innovation speed.

Fig. 1: Research model.

Technology orientation

Linking technological entrepreneurism, consumer behavior, and firm performance was the focus of the investigation of (A.F. Alheet, 2021). The model studied the influence of technological progress and the approach to entrepreneurship on consumers' attitudes. These factors were found to be associated with organizational performance as a whole. Furthermore, in this study, the researcher tries to find an evaluation of the entrepreneurial performance from the perspective of Bangladesh. By analyzing the influence of creativity, the various technology solutions, product technology support, velocity of innovation, and technology direction, valuable results can be obtained (Bin et al., 2022). Such results will show that what makes technology highly innovative, what forces resources, and what the nature of technology (hardware or software, etc.) matters. Faster innovation is also generally better for online entrepreneurs. At the end of the day, having the right technology, the funding, and a concentrated technological model can greatly influence the success of an entrepreneur (Juliana et al.,  2021). (Devendra Kumar Pandey, 2021) extensive research was conducted on the technological revolution and entrepreneurship. Showing how technological improvements impact entrepreneurship by assembling data from industry experts, entrepreneurs, and workers. The authors argue that technology plays three critical roles: leading to new roles and functions in jobs, increasing entrepreneurial skills, and contributing a great deal to economic development. The paper tests the impact of technological transformation in Dhaka, Bangladesh. The impact of this has piqued the interest of researchers (Cui & Song, 2022). An orientation toward technology changes the way innovation happens, as a force multiplier that speeds the transition of concepts into paradigm-shifting improvements.

H2: There is a strong effect of technology orientation on innovation speed.

Financial Support

We need to intensify global enforcement efforts in order to not only react to the side effects of the pandemic but to prevent this illegal tide before it starts (Halim et al., 2023). Studies have shown that, due to the pandemic, purchasing power has reduced dramatically, and it has a great influence on reshaping purchasing habits on the web. Amid these challenges, many governments introduced comprehensive incentive programs and policies to support small businesses. According to  (Anwar et al., 2020) from loans directly to small and medium-sized businesses to backing them with credit guarantees and substantial subsidies, governments across the region moved to help small online businesses stay afloat. That said, it is worth mentioning that despite this government aid, at the end of the day, many small businesses continue to row their own boat with their own wallets (Gunartin et al., 2021). To re-strengthen the online sector, governments publicized a host of stimulation measures including loan reform and credit renewal, capital support, microloans, and other forms of financial aid. These actions not only allowed for short-term financial relief but have also reignited entrepreneurs' innovative spirit, pushing them to excel even in the face of adversity (Aikaterini Petropoulou, 2024).

H3: Financial assistance has a positive impact on the pace of innovation.

Innovation Speed

Innovation speed, also known as speed to market, time to market, or cycle time, represents the critical period from the moment a new product idea is conceived until it is available to the consumer market (Markman et al., 2005). The rate at which innovation comes to market is an incredibly important factor for entrepreneurs because it can significantly increase product margins, enlarge customer bases, and improve profit. This article investigates the crucial role of innovation speed and elaborates on its strong influence on online entrepreneurial effectiveness. In today's dynamically changing business world, the speed of innovation is becoming more crucial, not only in terms of ensuring superior organizational performance, but also in the development of increased efficacy and success for the entrepreneur (Sprong et al., 2021).

H4: The rate of innovation has a significant influence on online entrepreneurs' performance.

Innovation as a mediator

A synthesis of several articles has explained how small, medium-sized or entrepreneurial enterprises struggled with multiple hardships and survived by making use of special strategies and concepts (Takeda et al.,  2022). This examination revealed various forms of innovation as critical lifelines in times of crisis, including non-financial, financial, and resource-based innovation. The study underscores the point that even at desperate moments, the rate of innovation doesn't always lead to quick, dramatic breakthroughs. But the advent of revolutionary technological advancements has undoubtedly revolutionized technology and tactical approach, creating room for genius solutions, as well as for efficient implementation tactics. This can be explained by the high sense of urgency pushing entrepreneurs and business leaders to come up with new answers and new strategies (Halim et al., 2023).

In addition, the urgency of innovation and rapid deployment is forcing governments to reconsider and invent new modes of financing. When we look back at five years of unprecedented impact from the COVID-19 pandemic in 2020, we see valuable new business opportunities with potential that has exploded in all directions (Bakry et al., 2022). Innovation has become a game-changer, that is changing lives and redefining how entrepreneurs wade through the business scenario.

H5: Innovation has a significant effect on innovation speed.

H6: Innovation moderates the relationship between technology types and innovation speed.

H7: Innovation moderates the relationship between financial support and innovation speed.

H8: Innovation moderates the relationship between technology orientation and innovation speed. 

SMACIT is a much-loved tool by businesses and startups globally and around Bangladesh. Many organizations in Bangladesh have adopted this tool massively just after the outbreak of the COVID-19 pandemic. The global scene has had a seismic impact from the pandemic, and it's manifested in business (ONEA, 2022). Therefore, the objective of the present study is to explore the key determinants influencing online entrepreneurs post-COVID-19. The study attempts to clarify how SMACIT. These findings have important implications for business owners and online entrepreneurs who seek to nurture inventive ecosystems through understanding what the building blocks of innovation and performance are. This study also examined the influence of COVID-19 on online businesses, the challenges encountered by entrepreneurs, and the benefits accruing to them from SMACIT utilization. It also explored the opportunities that emerged before and after the pandemic.

(Ghanad, 2023) stated the need to use quantitative research methods for this study to get into the complex relationships and models of this type, due to the very nature that is suitable for researching the value in question. In attempting to address the hypothesis and questions rather than ending with a messy, highly managed list of trends and reasons, the researcher has crafted a concise array of variables and a solid history of these patterns and their consequences. This delicate manipulation ensured that the research captured the subtle nuances of how the study worked, allowing it, therefore, to develop richer and deeper insights (Hensen et al., 2021). Using a quantitative study design, the researcher introduced an online survey that supported the effectiveness of SMACIT technologies in successful online entrepreneurship efforts. An online survey tool allowed the researcher to explore technology-related issues and circumvented some of the challenges of collecting data from our population, both in terms of cost, responsiveness, and access.

Data Collection

In the search for data collection, the researcher started with a mixed face-to-face and online survey. The researcher was able to tap into a broad spectrum of viewpoints over a four-month period from September to December 2025. The researcher then managed to obtain an excellent blooming of 200 responses from a small set of seeds that the researcher selected. Using a mix of accessible web-based surveys and personal contact methods, this research attained an unprece-dented close-to-75% response rate, demonstrating the eagerness of participants to share their views. All the respondents are adults in this study (18 years or older), and they contribute voluntarily. The participants were reassured that their answers would be kept rigidly confidential and used only for research work. To further enhance this commitment, the researcher included an explicit reassuring statement on the cover page of the survey questionnaire that the protection of their identities would be guaranteed. The information explicitly stated that the information collected would be presented in broad themes and without any identifying details that could be traced to individual participants. The caring attitude helped to develop an environment of confidence that allowed the respondents to disclose their thoughts, experiences, and this with greater impunity. 

Measurement

This research adopted a more sophisticated scale to measure the Likert five-point score of the answer from the participants. This scale ranges from one, meaning “Strongly Agree,” to five, meaning “Strongly Disagree.” In this study, the author utilized the analytical capabilities of SPSS (version 29) and Smart PLS-4 models, which are advanced and appropriate for investigating complex relationships between latent constructs. (Jr. et al., 2021) Stated that Partial Least Squares-Structural Equation Modelling (PLS-SEM) does a great job of predicting outcomes. PLS-SEM, which was welcomed with open arms in social sciences and business and management, is a type of variance-based analysis, with the ability of dealing with the procedural characteristics of latent constructs, the distinct characteristics of unique data distributions that may be present in them, and with small samples instead in an exceptionally well effective manner.

Instruments

This research took advantage of the PLS-SEM technique to examine the complex relationships between the elements in the conceptual framework that had been put forward. The validation and reliability of the measurement model were carefully tested in this study and thus served as a good basis for the analysis. The researcher then conducted path analysis and structural modelling and tested hypotheses to clarify these relationships. To enhance the richness of the findings, it capitalized on the efficiency of the SPSS application to critically examine how challenges interacted with the most commonly used SMACIT tools. In total, the full exploration of this system in all its complexity revealed important properties of the interplay of factors of this framework.

Population & Sampling 

For purposes of validation, a convenient sampling process was used to collect data on a representative sample of online entrepreneurs in Bangladesh. The attendees were made up of a wide array of people who are already a part of different kinds of online businesses, proving the existence of a true entre-preneurial spirit within the country. One remarkable thing about the survey results was the approximately equal participation of both men and women in the sample. The 60-40% ratio shows an impressive dedication to inclusivity and diversity in the entrepreneur space. Based on Table 1, the demo-graphic of the participants shows that 54.5% of the participants are in the age group higher than 25 years. 

Table 1: Characteristics of the sample (n=200).

However, the survey also reflects 41% of respondents who are older than 18 years of age, which means young entrepreneurs have stepped forward in the technology space. Mature ones account for only 3.5%, and those aged over 45 a mere 1%, confirming the tendency for youthfulness of the online business. These numbers collectively add up to a picture of a group who are almost entirely young and tech-conscious, seeking to carve a new business-oriented landscape of Bangladesh

Normality test

To check the normality of the sample, the skewness-kurtosis technique was used for full statistical inspection. The researcher applied Partial Least Squares-Structural Equation Model (PLS-SEM) to critically examine the kurtosis and skewness. The changes were quite revealing: each kurtosis value stayed way below the critical value of 8, as did each skewness value, which was well within the acceptable value of 3, as can be seen in Table 2. These results strongly confirm the existence of a univariate distribution that obeys the normality precepts.

Table 2: Assessment of Normality.

Respondents' consent and ethical approval

Under the national regulation and institutional practices, conducting social science research in Bangladesh is not subject to approval. Social science research in Bangladesh is carried out with a significant degree of freedom, in stark contrast to other academic disciplines, which have to navigate institutional frameworks and legislations, national laws, and policies. Ethical scrutiny of this form of research is not necessary, unlike other scientifically sensitive research that entails a review of ethics. The author took the necessary steps to guarantee that the participants received adequate information and consented to disclose their insights publicly so as to interweave their experiences. The research was also considered to be low risk and, therefore, did not need an in-depth ethical appraisal. The participants were reassured that their answers would be kept rigidly confidential and used only for research work. All the respondents in the research were adults (aged 18 or older) and participated voluntarily. In the questionnaire cover page, it was ensured that the identities would be protected and emphasis on confidentiality. 

Common method bias

To prevent a lack of accuracy and for secure, trustworthy research results, a close examination of CMB is essential. This careful procedure is necessary, since CMB could degrade the validity of the research results. The researcher uses Harman's single-factor analysis to test whether a single hypothesis can account for much of the variance within our model. In close examination of the data, identified the presence of one super-ordinate construct that emerged quite robustly and had a sizable impact, accounting for 29.54% of the variance (Podsakoff et al., 2003). It has been recommended that this value should not exceed 50% as per established criteria. However, the results fall well below this level. This examination enabled the paper to confidently ascertain that the model integrity is still considered sound, without being disturbed by issues of common method bias. In addition to the investigation, a full collinearity test was performed to check whether any VIF exceeded the critical level of 3.3 (Podsakoff et al., 2003). This test is valuable in assessing the degree of multicollinearity between the independent variable predictors and the potential risk of widening our results. The VIF values in this analysis varied between 1.14 and 1.36, which suggested that there was no effect of common method bias on the validity of the results. This provides further support for the validity of our research results and the correctness of our analytic methodology.

Measurement Model

A full test of the validity and reliability of the constructs in the reflective model is essential. Cut-off levels regarding reliability, discriminant validity, internal consistency, and convergent validity have to be set. (Jr. J. H. et al.,  2021) suggests that the rule of thumb is that a factor loading > 0.70 indicates accept-able variable correlation. A loading of 0.40 could also be informative, but a higher threshold is recommended for stability. To evaluate the convergence validity of the study, the researcher used Average Variance Extracted (AVE), which interestingly exceeded the recommended threshold of 0.50, reported by (Jr. J. H. et al., 2021). This finding indicates that there is a good relationship among the items that are validly assessing the same factor. The internal reliability of the measures is also strong, as can be seen by the level of Cronbach's α reported in Table 3. All latent variables went over the critical cutoff of 0.70, promising good reliability and consistent construct. Moreover, the composite reliability analysis in the current study strongly supports the reliability of the latent constructs, as the results were greater than 0.70. For accurate and meaningful results, the research study variables must be reliable and valid, enhancing the study's trustworthiness and resultant credibility.

Table 3: Measurement Model Results.

An important issue to consider in the evaluation of the measurement model is that of discriminant validity. This is important for accurate measurement and complete examination (Fornell, 1981). Results displayed in Table 4 provide an interesting insight: square roots of the AVE for the latent constructs actually appear to display more internal consistency than the correlation coefficients between the constructs. This finding suggests that the separate latent variables are not too highly correlated with each other, hence providing strong evidence for discri-minant validity. To better tap the distinction between two items of the same construct, we used the Heterotrait-monotrait (HTMT) ratio. This testing instrument provided with the capability to examine the discriminant validity of some constructs. As noted by (Kline R. B., 2016) the recommended cut-off criteria, a ratio less than 0.85, indicate that the constructs have sufficient discriminant power between them. In the current study, all HTMT values were less than the key threshold as well, supporting individuality. With the help of the well-developed measurement scales of the constructs involved, the reliability and validity of the results were assured. This firm basis is a prerequisite for follow-up structural model testing, to allow for a reliable and sound examination.

Table 4: Discriminant Validity.

Structural Model

In order to analyze the impact of exogenous constructs on the endogenous ones, the author relies on a robust structural model. In this search, this study on the process of evaluation brings a lot of significance in analyzing the importance of the hypothesized relationships, and the relationships among the constructs to examine the collinearity. The emphasis in this analysis should be on the test of predictive relevance (Q²) in addition to a proper calibration of the variance (R²), as noted by (Hayes, 2021). In addition, the effect size (f²) should be identified in order to understand the strength of these associations more adequately (Jr. J. H. et al., 2021). The researcher used the bootstrapping method to estimate the significance of the relationships specified, using 5,000 resamples for full examination. The research had significant path relationships based on the statistical tests, with the bootstrapping critical t-value of ±1.65 for our one-tailed t-tests.

The findings of the analysis are revealing of a highly contrasted territory, where SMACIT is robustly positively and negatively correlated with the inclusion of various factors in the context of entrepreneurship. 

Table 5: Structural Model Results.

In particular, it found a strong positive relationship between several variables such as technology types and innovation speed, financial support and innovation speed, technology orientation and innovation speed, and (innovation × technology types) and innovation speed, along with (innovation × financial support) and innovation speed as well as innovation speed's effect on entrepreneurs' performance with the respective β, p values of (β= -1.396, p=0.001), (β=0.519, p=0.033), (β=1.371, p=0.001), (β=1.834, p=0.000), (β= -0.5, p=0.044), (β=0.932, p=0.000). These results indicate that adoption of SMACIT can improve the quality of service by increasing attention to technological orientation, innovation, financial support, and basic types of technology. A complement and antinomy coexist in the landscape: a positive relationship was found between equation and managing the impact of (innovation x technology orientation), such as innovation speed (β = 0.225, p<0.6512), and between innovativeness and innovation speed (β= -0.212, p=0.706), (β=-0.376, p=0.167), respectively. It is a reminder that the interactions between innovation and innovation speed could have a negative impact on technology orientation.

The findings support hypotheses H1, H2, H3, H4, H5, and H7, suggesting that the effect of SMACIT in entrepreneurship is affirmed in technology types, financial support, technology orientation, and innovation speed. However, the data did not support hypotheses H6 and H8. Second, these results reminded the need for caution when embedding new tools in the fabric of a firm. Although SMACIT can lead to favorable consequences, be mindful of the conse-quences of managing innovation and the pace of innovation too quickly.

Fig. 2: Structural model assessment (PLS results). Notes: Numbers without brackets denote standardized beta and numbers with brackets show t-statistics.

Table 5 reveals the complex relationships within the study. The integration of SMACIT in the online business environment has a considerable positive impact in different aspects, including technology types, technology directions, financial support, and pace of innovation. However, the application of modern technology for creativity and the rate of its advancement have highlighted some negative aspects. Moreover, some hypotheses, such as H6 and H8, are not supported, suggesting that more research is needed. According to (Chicco et al., 2021) the R² statistic obtained from the analysis is a lighthouse of predictive conclusions, showing the percentage of variance accounted for. Careful consideration of the model has revealed that its explanatory potential is extremely wide-ranging. The former indicates that the exogenous construct is able to explain the endogenous variable (in this case, an aspect related to the integration of SMACIT in entrepreneurship, as the coefficient of determination seems to dominate the threshold accepted by authors, e.g., above 0.02 in some cases). This implies a high positive correlation of the adoption of SMACIT with entrepreneurship, which professes an increasing adoption and execution both in the online and offline business context (illustrated in Fig. 2). And, the common factors systematically explain as much as 30.7% of the variance in SMACIT enterprise assimilations (described in Fig. 1). This further attests to the ability of the model to accurately predict the influence of modern technology on entrepreneurship. Using the PLS-SEM method, the researcher employed blind-folding to measure the fit of the model in a fine-grained manner.