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Through bibliometric analysis, the study intends to reveal the evolution of the trends in the Scopus database, the scope of research and the connection between technology and entrepreneurship.

This study uses a comprehensive science mapping approach, integrating network visualisation to map research groups, bibliometric analysis to measure publication trends and thematic analysis to identify overarching themes. This study uses a thorough technique to examine the complex interaction between technology and entrepreneurship from 2000 to 2023. The collection includes information from various sources, creating a corpus of 2,207 documents. These sources include 698 scholarly journals, books and other publications.

According to the report, the interest in technology and entrepreneurship is expanding. The three nations conducting the most study on this subject is the USA, the UK and Italy. Some of the top writers in this area include James A. Cunningham, Alison N. Link and David B. Audretsch.

The study found possibilities and problems associated with the interaction between technology and entrepreneurship. Additionally, the study found several research holes in this area. The study also noted some research gaps in this field, including those related to the sustainability of society and the environment, the effects of entrepreneurship on inequality and the difficulties faced by entrepreneurs in underdeveloped nations.

This study thoroughly overviews the business and technology sectors. It outlines some of the difficulties that must be overcome whilst identifying the main research trends in this field. Researchers, decision-makers and businesspeople interested in using technology for entrepreneurial endeavours can all benefit from the study’s findings.

This study’s dataset’s scope, which might not include all pertinent publications, is one of its limitations. Nevertheless, the results add to a thorough picture of the state of the profession and recent developments. This study’s insights are valuable for researchers, policymakers and entrepreneurs interested in leveraging technology for entrepreneurial pursuits.

The research points to a number of directions that need more inquiry, such as in-depth studies into the social and environmental implications of technology-driven entrepreneurship and methods to combat inequality.

Research at the interface of marketing and entrepreneurship has emphasized digital entrepreneurship and how entrepreneurs pursue business opportunities centered on new technologies. However, a different type of entrepreneurship focused on opportunities involving consumers’ (re)adoption of displaced analog technologies when digital alternatives are dominant – analog entrepreneurship – is a trend and counter phenomenon to digital entrepreneurship that is receiving intense practitioner interest but limited scholarly attention. The purpose of this article is to present a theoretical framework that explains the role of analog entrepreneurship in technology revitalization.

In this conceptual paper, the authors use the microfoundations perspective to develop a multilevel theory of analog entrepreneurship. The authors define and delineate the “analog entrepreneurship” concept and formulate a midrange theory explaining how entrepreneurs influence the reemergence of analog technologies.

The theory’s main insight is that the renewal of analog technologies is not confined to consumers. Entrepreneurs are creating businesses that stimulate demand for analog technologies. As a result of entrepreneurs’ activities, legacy analog technologies do not fade into nonexistence in the face of rival digital technologies.

The theory of analog entrepreneurship contributes to research at the intersection of entrepreneurship and marketing by expanding its focus to consider the entrepreneurs who revitalize displaced analog technologies when digital alternatives are dominant. The authors provide insight into the potential trajectories of technologies after their initial displacement and the role entrepreneurs play in shaping the late stages of technology lifecycles. The theory draws attention to an underexplored phenomenon made increasingly prevalent by recent technological disruptions and suggests an agenda for studying how entrepreneurs renew analog technologies.

The objective of this article is to map and assess current evidence in women's technology entrepreneurship in business incubators with the aim of producing a conceptual framework that will allow us to understand how gender shapes the life of women technology entrepreneurs.

The authors conducted a systematic literature review. The data set comprises 49 publications, including peer-reviewed articles and prominent book chapters. These are first categorized according to their feminist approach and second analysed using an inductive thematic approach to map dominant concepts and research methods.

The authors develop a framework with four dimensions: (1) antecedents, (2) challenges, (3) outcomes and (4) solutions. The authors show that current literature mainly focuses on the challenges faced by women technology entrepreneurs in incubator settings. Although liberal feminist research is present, social feminist perspectives dominate, with poststructuralist research as a close second. Interestingly, current research has not focused much on individual characteristics; in other words, the baggage that women bring with them in terms of prior experiences is hardly investigated, even though there is general agreement that socialization shapes women's experiences of and responses to gender challenges.

The authors contribute to the literature in the following ways: The developed framework assists in understanding how gender is an overarching factor that shapes every facet of the life of a women technology entrepreneur, and how incubator environments intensify gender issues. Indeed, being in an incubator environment adds an extra layer of gendered conditions, thus intensifying the challenges that women meet, creating a “triple masculinity trap”. The review highlights that little is known about how early conditioning shapes women technology entrepreneurs' reactions to the gendered conditions they meet and that there is a lack of research on how women “do entrepreneurship”.

The purpose of this paper is to discuss Malaysia's industrial development since achieving its independence in 1957 to 2007. The industrial development in Malaysia has gradually shifted from mere trading type of activities to technology based entrepreneurial activities.

The transformation of Malaysia's industrial development from entrepreneurship to technology entrepreneurship is studied by applying the World Bank framework introduced by Bessant et al. The improvised framework has eight key dimensions that are developed as the key activities of technology entrepreneurship to assess the presence of technology entrepreneurship activity during the study period.

The initiation of the government's heavy industrialization drive in the 1980s had given rise to the growth of the manufacturing sector, and consequently, the implementation of public policies and government programmes in the 1990s have led to the shift of the economy from labor intensive manufacturing to high technology with higher value added activities. The findings thus indicate that the government's effort and support through the implementation of different policies and various state‐led programmes have basically driven Malaysia's entrepreneurial activities to be technology oriented.

As for the limitation, it is represented by the difficulties in identifying the key technology entrepreneurship activities and using them to analyze the entrepreneurship development at the macro level. Having analyzed at the macro level, this study hopes to contribute to the policy makers in drafting the government policies strategically so as to foster the growth of technology entrepreneurship in Malaysia generally, and to develop capabilities in particular industrial sectors.

The paper provides an overview of the industrial development in Malaysia as a background to the discussion on the transformation to technology entrepreneurship development.

Based on institutional theory, this study aims to analyze the influencing mechanisms of the institutional environment in the digital context on technology entrepreneurship.

Using data from the Global Entrepreneurship Monitor, World Bank and World Economic Forum, this study builds a multilevel database covering 79 countries and 97,146 individuals from 2013 to 2017. A mixed-effects logistic regression model with the fixed part and random part was chosen to test the hypotheses in this study. The mixed-effects logistic regression model used in this study includes a random intercept with random effects at the country level, while the robustness test considers a more complex two-level model with a random intercept plus random slope.

The findings indicate that different dimensions of the institutional environment in the digital context have different effects on individual technology entrepreneurship. The analysis shows that exposure to digital networks and innovative culture positively influences technology entrepreneurship. However, intellectual property rights protection has a negative impact on technology entrepreneurship. Furthermore, the government digitalization has different effects on above relationships. When a government digitalization is higher, there will be a weaker positive relationship between exposure to digital networks and technology entrepreneurship. When a government digitalization is higher, there will be a stronger positive relationship between innovative culture and technology entrepreneurship. When a government digitalization is higher, there will be a weaker negative relationship between Intellectual property rights protection and technology entrepreneurship. Finally, the effect of innovative culture on technology entrepreneurship in the digital context is stronger for females than for males.

The aforementioned findings contribute to a better understanding of the theoretical logic underlying digital factors affecting the institutional environment and technology entrepreneurship and act as a reference for the country in terms of raising its scientific and technological levels and promoting economic structure transformation in the digital era.

This paper aims to determine the entrepreneur's intention to accept artificial intelligence (AI) and provide advancement in the domain of digital entrepreneurship.

Extensive literature review and theories have been considered in the area of technology adoption/acceptance and digital entrepreneurship to identify the factors affecting the intention of entrepreneurs with respect to accept AI for digital entrepreneurship. Further, a model, artificial intelligence acceptance and digital entrepreneurship (AIADE) is theorized after formulating some hypotheses. The theorized model has been validated with 476 useable responses.

The findings revealed that performance expectancy, openness, social influence, hedonic motivations and generativity have a positive impact on entrepreneur's acceptance intention of AI. Additionally, affordance has no direct relationship with AI acceptance intention, but it affects AI acceptance intention through attitude. Inconvenience has a significant negative relationship with the intention to accept AI, while uncertainty was found to be positively affecting the AI acceptance intention. Effort expectancy did not confirm any significant relationship.

By considering existing theoretical models and concepts the authors contribute to the AI's theoretical progress, specifically in the domain of entrepreneurship. The authors complement and extend existing technology adoption/acceptance theories and digital entrepreneurship theories by developing a theoretical model, AIADE, explaining the entrepreneur's intention to accept AI.

The practical implications of the study show that performance expectancy (positive), openness (positive), social influence (positive), hedonic motivations (positive), generativity (positive), affordance through attitude (positive), uncertainty (positive), effort expectancy (negative) and inconvenience (negative) are the antecedents for the entrepreneurs to accept AI for digital entrepreneurship. The authors suggest that intentional improvement planning is developed by increasing entrepreneur's positive perceptions of AI affordance and explanation of its generativity and openness, and improving their attitude of using AI for digital entrepreneurship.

This is the first study that reveals the critical antecedents of entrepreneur's intention to accept AI for digital entrepreneurship. Relevant theoretical background, discussion, implications, limitations and future research recommendations are discussed.

This study aims to examine how entrepreneurship education influences intentions for starting a technology venture among science, technology, engineering and mathematics (STEM) students with particular attention to gender differences. This study builds on the model of entrepreneurial event and social role theory to assess the impact of entrepreneurship education on feasibility, desirability and intentions for technology entrepreneurship.

The hypotheses are tested with a sample of 879 Bulgarian science and engineering students from 15 universities. To test the models, this study uses ordinary least squares and logistic regressions with robust standard errors and Hayes mediation analysis with bootstrap bias-corrected confidence interval estimations for indirect effects. Two-stage Heckman regressions to control for sample selection bias and other robustness checks including propensity score matching were used.

Results show that entrepreneurship education, measured as participation in an entrepreneurship course, has a stronger impact on feasibility, desirability and intentions for technology entrepreneurship for female STEM students compared to their male counterparts. As such, this study supports the notion that entrepreneurship education could be part of a solution to counteract societal norms that position technology entrepreneurship as a less desirable and/or less feasible choice for women in STEM. However, attention should be paid to the operationalization of entrepreneurship education, as other measures of entrepreneurship education (role models, entrepreneurship education support) did not have a moderation effect with gender.

The authors assume a positive correlation between entrepreneurial intentions and entrepreneurial behavior. Future studies should include actual entrepreneurial behavior to paint a more complete picture of the effect of entrepreneurship education.

Little is known about the role of entrepreneurship education in the field of technology entrepreneurship, and even less about the potential gender differences in entrepreneurship education among STEM students. The study contributes to the literature by examining factors that could help close the persistent gender gap in technology entrepreneurship.

This study aims to present the critical role of knowledge management in digital entrepreneurship by reviewing the literature and proposing future research directions for digital entrepreneurship and knowledge management through an interdisciplinary framework.

This study uses the Derwent Data Analyzer to identify and visualise the extant studies on digital entrepreneurship. This study qualitatively analyses the hot topics and trends in digital entrepreneurship research to understand digital entrepreneurship from the knowledge management perspective.

The authors found two dominant trends in existing research: logical and development trend exploration at the theoretical background and empirical research at the practical dimension. To understand digital entrepreneurship from a knowledge management perspective, the authors summarised the theoretical logic and internal and external reasons why knowledge management is required in digital entrepreneurship. Moreover, the authors analysed the new features of digital entrepreneurship under five aspects: management concept, object, content, scope and focus. The authors concluded that existing research on integrating knowledge management and digital entrepreneurship is primarily conducted from three perspectives: technology, platform and ecosystem.

This study provides an in-depth analysis of digital entrepreneurship from a knowledge management perspective. The findings can further promote the theoretical research and practical development of digital entrepreneurship and knowledge management. This approach provides a new direction for interdisciplinary study and enriches entrepreneurship research. In addition, this study proposes a knowledge management framework for digital entrepreneurship research. The findings contribute to understanding the role and function of knowledge management in digital entrepreneurship.

The overall objective of the current study is to explore how universities can better developing new educational services. The purpose of this paper is to develop framework for technology entrepreneurship education (TEPE) within universities.

Qualitative and quantitative research approaches were employed. This study passes through four phase: reviewing of good practices; a survey of academics (n=150 respondents); semi-structured interviews with leaders of Ministry of Higher Education, the Social Fund for Development, and the ILO Sub-regional Office (n=30 respondents); and two workshop with expert group and stakeholders (n=65 respondents).

This study developed framework for TEPE within universities from three aspects (center for innovation and entrepreneurship (CIE), technology entrepreneurship professors/educators, and technology entrepreneurship programs/courses).

TEPE will have an impact at the individual and enterprise. It prepares students to be responsible, enterprising individuals who become entrepreneurs, enhances life skills and life learning experiences and contributes to economic development and sustainable communities; at the enterprise level, this education is expected to create and operate a new venture, help innovation, enhance the level of competitiveness, and develop a more practical entrepreneurial environment.

It is important for practitioners and policy makers to gain insights on how academic entrepreneurship support works elsewhere as inspiration for the further development of their approaches.

TEPE can assist in obtaining higher economic growth and sustainable development, in keeping up with the fast pace of an open-market capitalist society and in promoting self-employment and training, which all lead to the reduction of unemployment.

This study offers three principal contributions: first, development of framework for the TEPE from all perspectives within universities as TEPE differentiates from other entrepreneurship education types; second, development of an uncommon concept of new educational services in the marketing literature that is incoherent and lacks theoretical models that reflect good practice of entrepreneurship education; third, identification best practices of TEPE in universities by reviewing and analyzing policy and continuing to experiment.

This study aims to investigate the adoption intention of artificial intelligence (AI) in family businesses through the perspectives of digital entrepreneurship and entrepreneurship orientation.

The study examines contributing factors explaining the adoption intention of AI in the context of family businesses. The developed research model is examined and validated using structural equation modelling based on 631 respondents' data. Purposeful sampling is used to collect the respondents' data.

The proposed model included two endogenous (i.e. business innovativeness and adoption intention) and six exogenous variables (i.e. affordances, culture and flexible design, entrepreneurial orientation, generativity, openness and technology orientation) through ten direct paths and three indirect paths. The results depicted the significant influence of all the exogenous variables on the endogenous variable reflecting support of all the hypotheses. The business innovativeness partially mediates the relationships of culture and flexible design, entrepreneurial orientation and technology orientation with adoption intention. Further, the results demonstrated a model variance of 24.6% for business innovativeness and 64.2% for adoption intention of artificial intelligence in the family business.

The study contributes to theoretical developments in entrepreneurship and family business research and AI's theoretical progress, especially to digital entrepreneurship.

Theoretically, it contributes to the literature of entrepreneurship, particularly digital entrepreneurship. Additionally, the research model adds to the role of entrepreneurial orientation and digital entrepreneurship in the emerging family entrepreneurship literature. Considering the scarcity of research in this field, the empirically validated model explaining critical antecedents of AI adoption intention in the family business is a foundation for discussion, critique and future research.