Search results

The purpose of this paper is to proffer a reconstructed theoretic model of entrepreneurial generatively that accounts for personal and social identities in the narrative construction of entrepreneurial identity..

The authors followed general analytically structured history processes using the life of Andrew Carnegie to understand how generativity scripts aid in aligning personal and social identities in the formation of entrepreneurial identity.

The authors argue that Carnegie used entrepreneurial generativity as a form of redemptive identity capital during the narrative reconstruction of his entrepreneurial identity.

This paper extends Harvey et al.’s (2011) model of entrepreneurial philanthropy motivation by including forms of self-capital (psychological capital and self-identity capital) as part of the co-construction of entrepreneurial identity and proposing a reconstructed capital theoretic model of entrepreneurial generativity.

Digital technologies create myriad innovation opportunities and have inspired the establishment of many new start-ups in recent years. Despite the growing knowledge on digital entrepreneurship, few studies explore how start-ups exploit these opportunities to achieve entrepreneurial success. The purpose of this paper is to explore start-ups’ capabilities for successful delivery of digital artefacts in a cloud computing infrastructure.

Empirical data were collected during a qualitative case study of an established start-up in the Chinese market by interviewing 41 interviewees. Informed by the notion of dynamic capabilities and using the Gioia methodology, the case firm's life cycle was analysed in detail.

The study identifies start-ups’ ordinary and dynamic capabilities for successful development and delivery of digital services. The findings provide insights into a portfolio of start-ups’ capabilities, namely adaptation, networking, reengineering and refinement.

The study suggests that start-ups’ capabilities and underlying entrepreneurial actions determine the degree to which adoption of digital technologies create and transfer value to customers. The study offers specific insights into how start-ups successfully develop and deliver digital artefacts in a cloud infrastructure based on entrepreneurs' prior expertise, vision and accumulated experience.

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.

The paper faces artificial intelligence issues in the venture creation process, exploring how artificial intelligence solutions intervene and forge the venture creation process. Drawing on the most recent literature on artificial intelligence and entrepreneurship, the authors propose a set of theoretical propositions.

The authors adopt a multiple case approach to assess propositions and analyse 4 case studies from which the authors provide (1) more detailed observation about entrepreneurial process phases influenced by artificial intelligence solutions and (2) more details about mechanics enabled by artificial intelligence.

The analysis demonstrates artificial intelligence contributes alongside the entrepreneurial process, enabling mechanisms that reduce costs or resources, generate new organizational processes but simultaneously expand the network needed for venture creation.

The paper adopts a deductive approach analyzing the contribution of AI-based startup offerings in changing the entrepreneurial process. Thus, the paper provides a practical view of the potentiality of artificial intelligence in enabling entrepreneurial processes through the analysis of compelling propositions and the technological ability of artificial intelligence solutions.

Overconfidence in one’s entrepreneurial abilities is often assumed to motivate the behaviors of founders of high growth ventures. However, when founders encounter significant obstacles in the firm growth process, some begin to doubt their efficacy of their abilities to manage these growth processes successfully. In these circumstances, prior research suggests that such self-doubt creates significant cognitive constraints on an entrepreneur’s growth ambitions. Similar to other types of resource constraints, cognitive constraints are thought to impact firm performance outcomes negatively. Despite these claims, in this study, phenomenological analysis of the experiences of a group of entrepreneurs creating and managing high-growth ventures based largely in Silicon Valley suggests that a number of these entrepreneurs experience significant levels of self-doubt but still persist in growing their ventures. Yet current entrepreneurship theory provides limited guidance regarding how entrepreneurs overcome these self-doubts and persist in creating a new venture. To address these theoretical limitations, in this chapter, we examine the cognitive process through which entrepreneurs wrestle with self-doubt in order to overcome self-imposed, cognitive constraints on firm growth. Based on this analysis, we develop a process model using a unique sample of interviews with 27 high-tech, high-growth entrepreneurs who have received venture capital funding. This model suggests entrepreneurs overcome self-doubt by managing the emotional impact derived from the discrepancy between their ideal and actual selves. Furthermore, entrepreneurs engage in an active process of transforming negative mental states by leveraging their intentionality, engaging in forethought, taking consistent action, and relying on the support of others. Overall, we find that entrepreneurs display a high level of entrepreneurial agency when attempting to transform negative mental states in order to persist with their ventures. Implications of these findings for cognitive theories of entrepreneurial action are discussed.

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.

Longer life expectancy brings a new phenomenon: senior entrepreneurship. Whereas starting a business involves investing energy, time, money or other types of resources, ageing is somewhat incompatible with these terms. Research on the impact of time perception on the entrepreneurial process is rather scarce. Considering the lack of knowledge related to the impact of time perception on the entrepreneurship process, this study aims to answer the following research question: how does temporal perception influence the entrepreneurial process?

Senior entrepreneurs are the most relevant category of individuals from which the impact of time perception could be observed, as they are objectively closer to the end of their careers than younger entrepreneurs. Therefore, longitudinal research was conducted by interviewing five senior entrepreneurs at 4-year intervals.

Results show that there are two types of temporal perception in entrepreneurship: temporal perception of the entrepreneur's career and temporal perception of the enterprise's development. When these two-time perspectives are not synchronized with the entrepreneur's vision, the entrepreneur develops strategies for seeking to re-establish synchronicity between the temporal perspective (TP) of their entrepreneurial career and that of the business development. The senior entrepreneur is distinguished from a traditional entrepreneur by a limited TP of their entrepreneurial career combined with the notions of bridge employment and generativity.

The number of cases under study did not allow us to examine every possible type of situation. The sampling of the cases under study did not offer great diversity in terms of gender, as the study had only men. However, the range of ages at startup, from 50 to 65 years, provides greater diversity, as does the range of business segments that included the service, manufacturing and retail food industries.

Entrepreneurs with a limited career time perspective correspond to senior entrepreneurs, while others who have an open career prospect, regardless of their age, correspond to any other form of an entrepreneur. This study has also been able to identify that an entrepreneur who realizes their limited entrepreneurial career horizon and perceives a temporal purpose of their company in the service of the involved parties tends to plan the entrepreneurial exit phase.

In this article we consider how cultural resources rooted in religion help to constitute and animate people working in industrialized societies across both religious and nonreligious domains. We argue that redemptive self-narratives figure prominently in the symbolic constructions people attach to their experiences across the many domains of human experience; such redemptive narratives not only can shape their identities and sense of life purpose, they inform their practices and choices and animate their capacity for action. To consider how redemptive self-narratives can provide a basis for agency in organizations, we analyze and compare the career narratives of a retired Episcopal Bishop and a celebrated CEO.

This chapter provides an in-depth analysis of the cleanup and closing of the nuclear weapons facility at Rocky Flats (RF), Colorado, United States, which was completed 60 years ahead of schedule and $30 billion under budget. We demonstrate how the events leading to the successful completion of the project was an instance of generativity made possible by the Appreciative Intelligence of the project leaders and participants. At the end of the Cold War, production at RF was terminated and experts considered cleaning up of the dangerous facility technically impossible, risky, and impractical. Yet, working in collaboration with contractors, local officials, and community leaders, the RF team achieved extraordinary results. After the unprecedented cleanup, 4,000 acres were transferred to the U.S. Fish and Wildlife Service and became a national wildlife refuge. Generativity is an approach to life that directs our actions toward positive outcomes. For generativity to happen, stakeholders in the RF project had to care about the environment around them for innovative solutions to emerge. Instead of stagnation or blind acceptance of circumstances, they chose to reframe and find new ways to perceive situations facing them. This case study shows that individuals with high Appreciative Intelligent acknowledge present circumstances, choose to reframe, see possibilities for the future, and take the necessary actions to achieve them. They also expand their Appreciative Intelligence beyond their personal lives. At RF, despite the imminent closing of the plant, stakeholders generated socially responsible solutions and transformed a public liability into a community asset.