This study investigated the impact of personality traits, digital entrepreneurship education, and digital mindset on entrepreneurial intention among 250 Tunisian university students. The findings indicate that openness to experience and conscientiousness positively influence both digital entrepreneurial intention and academic performance. Digital mindset emerges as a mediating variable between openness and academic performance, highlighting the role of technological curiosity in translating personality traits into learning outcomes. Notably, formal entrepreneurship education exerts a negative moderating effect on the relationship between digital mindset and academic performance, suggesting that overly standardized instructional approaches may constrain creativity. Extraversion and agreeableness show no direct effects, while emotional stability appears as a weak predictor. The results offer practical implications for the design of personality-informed entrepreneurship curricula in less developed countries.
This study explored the integration of artificial intelligence (AI) in e-entrepreneurship education, focusing on its impact on personalized learning, skill development, and student engagement. Using the diffusion of innovations framework, it examined factors influencing AI adoption, including infrastructure, educator preparedness, and ethical concerns. Through semi-structured interviews with Gen Z learners and focus groups with educators and AI technologists, the research identified key challenges—AI complexity, resistance to change, and data privacy. The study demonstrated that AI tools, such as personalized learning systems and business simulations, enhance entrepreneurial training by providing adaptive learning and real-time feedback. It concluded with policy recommendations to ensure inclusive access, especially for underserved entrepreneurs and contributes to understanding AI's transformative potential in bridging Indonesia's digital skills gap.
The purpose of this study is to investigate the Omani digital entrepreneurial ecosystem (EE) and its effect on opportunity recognition and action. Using a descriptive methodology, data were collected from 109 Omani nascent entrepreneurs who are at the stage of launching their tech start-up companies. The authors used SPSS to analyzed data. The finding confirmed that the EE positively influences the opportunities and action from a digital entrepreneurship perspective. The original contribution of this research is to offer an empirical investigation of the role played by the EE not only in terms of the digital opportunity recognition process but also on the capability of nascent entrepreneurs to move toward effective entrepreneurial action. This research offers theoretical and practical implications for decisions makers on opportunity recognition.
Due to the risky nature of newly creative projects for entrepreneurs, reward-based crowdfunding is currently an alternative fundraising channel for those who need seed funding to finance the creation of their prototype. The objectives of this research are to explore the success factors, including entrepreneurial, project and campaign factors, in project fundraising under a reward-based crowdfunding platform. We propose to develop a model for predicting the success of crowdfunding projects by machine learning. The datasets have been retrospectively gathered from historical records of campaigns in the Kickstarter website. The study's findings show that the logistic regression and decision tree models, respectively, had accuracy rates of 88.2% and 88.8%. The highest accuracy percentage of 94.1% originates from new testing data that has been externally validated for the technology industry. The practical implication of our research is that entrepreneurs can apply the proposed prediction model to identify the most influential topical features embedded in campaigns.
Despite the increasing popularity and research focus on the application of artificial intelligence (AI) in entrepreneurship, no comprehensive bibliometric analysis of relevant papers has been conducted. Our review examines 127 Scopus-indexed publications from 2007 to October 2023. The inquiry explores thematic progression, geographical production trends, and seminal works shaping the discourse. Notably, while authors from Asia, mainly China, lead in publication volume, influential works from the USA, the UK, and Australia attract significant scholarly attention. The analysis reveals a prominent trend: highly cited papers often lack theoretical frameworks, with literature reviews and conceptual analyses prevailing over empirical investigations. When theoretical foundations are present, diverse theories are often amalgamated. In conclusion, our review highlights numerous avenues for future academic exploration in this domain. Pragmatically, our effort, the first of its kind, consolidates fragmented insights, providing a cohesive understanding of AI's pivotal role in entrepreneurship.
Despite the increasing popularity and research focus on the application of artificial intelligence (AI) in entrepreneurship, no comprehensive bibliometric analysis of relevant papers has been conducted. Our review examines 127 Scopus-indexed publications from 2007 to October 2023. The inquiry explores thematic progression, geographical production trends, and seminal works shaping the discourse. Notably, while authors from Asia, mainly China, lead in publication volume, influential works from the USA, the UK, and Australia attract significant scholarly attention. The analysis reveals a prominent trend: highly cited papers often lack theoretical frameworks, with literature reviews and conceptual analyses prevailing over empirical investigations. When theoretical foundations are present, diverse theories are often amalgamated. In conclusion, our review highlights numerous avenues for future academic exploration in this domain. Pragmatically, our effort, the first of its kind, consolidates fragmented insights, providing a cohesive understanding of AI's pivotal role in entrepreneurship.
Over the past twenty years, customer experience has attracted the attention of researchers and business executives. For the hotel service industry, understanding customer experience becomes a necessity, as it is one of the top goals for hotel survival. With the development of e-commerce and the globalized hotel industry, customers are easily shared on online booking sites, making hotel managers work harder to design a good customer experience management plan. This chapter proposes an approach to analyzing data from customers' online reviews with their experiences to understand their emotional and psychological states after using Vietnamese hotel services. The Python language is used for statistical analysis of these data, and the Vander library measures customers' positive and negative views after the hotel service experience. The results show that most customers are satisfied with Vietnamese hotel services, and less than 10% are dissatisfied with aspects such as staff, price, check-in, and location.
The aim of this research is to understand role of citizens' perception of legitimacy and trust on the government on the relationship between perceived usefulness of innovative e-government services and citizens' intentions to adopt innovative e-government services in Pakistan. The authors used both qualitative and quantitative methods in two studies and collected data with mixed survey technique for the inclusion of the perception of the citizens from both sample groups. Data collected in both of the studies was then analyzed with KH Coder 3 for co-occurrence network and with Mplus 7.0 for random coefficient models. Results shown that trust on the government as affected by perception of legitimacy emerged as moderators of the relationship between perceived usefulness of innovative e-government services and intentions to adopt innovative e-government services in addition to simple moderation and mediated moderation, joint effect of perceived usefulness of innovative e-government services, trust on the government, and perception of legitimacy, found for intentions to adopt innovative e-government services. This research will help policy makers and government officials to understand, what might be hindering citizens' adoption of innovative e-government services and what they need to focus on in addition to useful features of the digitalized government services.
Ariba Inc. and Commerce One Inc. (C1), two bellwethers with e-entrepreneurship in the e-commerce field, provided business-to-business (B2B) spend management and supply chain services. After having been wiped out by the devaluation of the stock market that followed the dot-com era, C1 is extinct today. Having faced the same market condition and serious competition, innovative Ariba had a different path and was acquired by SAP in 2012. Nowadays, SAP Ariba (formerly known as Ariba) is the largest digital B2B network on the planet. Why did Ariba survive whereas C1 collapsed? The authors explore the external (hidden costs, high-priced software, hurtful investigation, harmful publicity) and internal (adaptations to environment, acquire to advance, add consulting services, aim customer support) factors that would draw lessons for other companies to learn.
This study aims to produce a network structure in the digital innovation ecosystem to determine the position of each actor involved in it as an effort to support digital innovation in digital startups in West Java. This study uses a mixed method with an exploratory sequential strategy involving digital startup actors in West Java. To get the network structure in the digital innovation ecosystem in order to find out the actors who play the most important roles, the research uses a social network analysis approach by utilizing the Gephi application. The network structure is based on four dimensions of centrality. The results of this study confirm that the actor with the most connections (degree centrality), as well as the most important actor (Eigen centrality), in the digital innovation ecosystem in West Java is PT. Sharing Vision. A framework of digital innovation ecosystem is developed to explain the importance of actor positions in the digital innovation ecosystem.
Aggregator business network models are quickly becoming critical enablers of digital transformation across various industries and are increasingly active in service start-ups such as online food delivery. With their innovative use of digital technologies, several unconventional start-ups in the online food ordering space are upending the market. However, the industry faces fierce competition from rivals and rising consumer demand for unique experiences. Using an exploratory case study methodology, the current study investigates the case of “Zomato,” an Indian restaurant aggregator and food delivery start-up. The study aims to demonstrate how Zomato, a digital start-up, has gained a competitive advantage by changing its business model. An investigation into the Indian-based online food ordering company Zomato's business model innovation has been reported. This study shows how Zomato has differentiated itself from its competitors in the Indian food market by focusing on the nine business model canvas components. This improves our understanding of business model innovation's theoretical foundations and forerunners as a source of competitive advantage.
The research aims to understand whether gender can or not influence the success of crowdfunding (CF) campaigns. To attain this objective, entrepreneurs that launch a CF campaign in the PPL platform are surveyed in order to examine if gender influences the characteristics of the projects, the motivations and satisfaction with the campaigns, and the use of social media. The paper uses a quantitative approach, based on an online survey sent to the entrepreneurs who have used the Portuguese CF platform (PPL) for funding. The results indicate that there are no major significant gender differences in the use of CF through the Portuguese platform, the motivations for using CF or the success achieved. In both cases, social media play an essential role in CF campaigns. Only culture-related projects exhibit an association with gender. The results show that CF is a tool that can contribute to reducing the gender gap in entrepreneurship. The design of CF operations and capacity building programs for women could either be improved in accordance with the new insights of the study.
This study aims to investigate the impact of business analytics (BA) capabilities on collaborative innovation, which involves the exchange of ideas and knowledge with external sources on digital innovation platforms. Based on the resource-based view (RBV), BA capabilities were divided into three dimensions: tangible, personal, and intangible. A research model is then developed to describe the relationships among BA capabilities, collaborative innovation capabilities, and collaborative innovation performance. To test the model, data were collected through a questionnaire survey from 167 companies and analyzed using structural equation modeling (PLS-SEM). The results show that BA tangible capabilities have a positive impact on BA personal and intangible capabilities. Both BA personal and intangible capabilities are positively associated with collaborative innovation capability, which in turn was found to be a strong predictor of collaborative innovation performance. These results demonstrate the positive influence of BA in driving collaborative innovation performance.
This paper studies online shopping behavior in transitioning markets in a business-to-consumer (B2C) e-commerce setting. A framework was adopted in which the Technology Acceptance Model (TAM) was extended with trust and instrumental factor (need for touch). The mediation effect of trust between the predictor variables perceived ease of use, perceived usefulness and need-for-touch, and intention to shop online was tested. The analysis of the quantitative data revealed that both independent variables perceived usefulness and usability strongly affect consumer trust, and trust partially mediates between the predictors and intention to shop online. This lack of touch-and-feel in the e-commerce setting is mentioned frequently by respondents as one of the main reasons which keep customers away from buying goods online. Thus, it was also presumed that the need-for-touch is negatively related to intention to shop online. There is an opportunity for future research to focus on testing the touch-and-feel effect using specific products in the online setting.
This paper studies online shopping behavior in transitioning markets in a business-to-consumer (B2C) e-commerce setting. A framework was adopted in which the Technology Acceptance Model (TAM) was extended with trust and instrumental factor (need for touch). The mediation effect of trust between the predictor variables perceived ease of use, perceived usefulness and need-for-touch, and intention to shop online was tested. The analysis of the quantitative data revealed that both independent variables perceived usefulness and usability strongly affect consumer trust, and trust partially mediates between the predictors and intention to shop online. This lack of touch-and-feel in the e-commerce setting is mentioned frequently by respondents as one of the main reasons which keep customers away from buying goods online. Thus, it was also presumed that the need-for-touch is negatively related to intention to shop online. There is an opportunity for future research to focus on testing the touch-and-feel effect using specific products in the online setting.
This paper studies online shopping behavior in transitioning markets in a business-to-consumer (B2C) e-commerce setting. A framework was adopted in which the Technology Acceptance Model (TAM) was extended with trust and instrumental factor (need for touch). The mediation effect of trust between the predictor variables perceived ease of use, perceived usefulness and need-for-touch, and intention to shop online was tested. The analysis of the quantitative data revealed that both independent variables perceived usefulness and usability strongly affect consumer trust, and trust partially mediates between the predictors and intention to shop online. This lack of touch-and-feel in the e-commerce setting is mentioned frequently by respondents as one of the main reasons which keep customers away from buying goods online. Thus, it was also presumed that the need-for-touch is negatively related to intention to shop online. There is an opportunity for future research to focus on testing the touch-and-feel effect using specific products in the online setting.
Many of the challenges faced by the various sectors of the economy are seen as opportunities by entrepreneurs. Yet, entrepreneurs are by definition excluded from a large part of the health sector due to the specialised nature of the medical profession and the complexities associated with service provision in the area of healthcare. In this paper, the term ‘Doctorpreneur' is used to connote doctors who engage in entrepreneurship in the health sector. The study adopts the Maslow's theory of motivation, the Herzberg's two-factor theory, and the theory of affordance to explore factors that promote ‘doctorpreneurship' in the digital age, using Ghana's health sector as a case. The findings of this qualitative study suggest that besides the monetary gains that primarily motivate doctors to engage in doctorpreneurship, other individual, organizational, and technological factors also underpin the phenomenon. Furthermore, the findings underscore the role of technology in consolidating doctorpreneurship in the digital age. The study presents several implications for research, policy, and practice.
This explorative study uses the affordance theory to offer an in-depth understanding of how mobile payment affordances are unconventionally facilitating the rise of end-user entrepreneurs, and to explore why these end-user entrepreneurs expand and commercialize their creative ideas. Qualitatively, the researchers interviewed 20 end-user entrepreneurs in eight merchant firms. The data suggest that six significant affordances may serve as motivating factors for the merchant to switch to end-user entrepreneurship. These affordances are the following: i) incorporating informal peer-to-peer business approach; ii) frequent and small transactions settling; iii) greater flexibility in service delivery; iv) new business model development; v) informal finance networks; and vi) financial affordance. Employing a developing economy perspective with a particular focus on Ghana, this paper contributes to both the mobile payment research and end-user entrepreneurial studies, extending the existing knowledge in the area and providing interesting opportunities for future studies.
The recent outbreak of COVID-19 is taking the fashion industry through a challenging period. The industry's activities are now being more facilitated by digital platforms/influencers in the dispensation of products than ever before. This study seeks to investigate digital platforms/influencers in developing countries and their impact on the fashion industry. The study also explores the challenges of information asymmetry online, drawing on the lemon market theory (LMT), as the theoretical lens. Qualitative data was collected from twenty-two respondents; the research findings indicate that the use of digital platforms/influencers is essential in reaching the industry's vital consumers. Also, information asymmetry is the greatest challenge as far as e-business is concerned.-The contribution of this study reposes the use of LMT to determine how information asymmetry is leveraged. In terms of the policy, this research provides strategies for discussions on security and trust for policymakers to secure payment and delivery in e-business.
The purpose of study is the assessment of global Covid-19 on small and medium scale enterprises (SMEs) with the case of Technological Incubation Centre (TIC), Ibadan. Three research objectives were raised. A descriptive survey research design was used. The population of the study is 29 (twenty-nine). Total Census survey was adopted as the sampling technique. SPSS software 20 analysis was used to analyze the data. The study concluded that, there has been increase in all the inputs needed for the production processes at the Centre. Therefore, sales of goods at the period of the Covid-19 have been negatively affected, which has similarly impacted on employment generation. It’s recommended that the management of the TIC should assist the businesses to mitigate the adverse effect of the Covid-19; while the Nigerian government should consider the SMEs as an important sub-sector that could restore the economy to the period of better economic growth.
