Fostering path of ecological sustainable entrepreneurship within big data network system

Zeng, Juying

doi:10.1007/s11365-017-0466-3

Cited by 39 publications

(27 citation statements)

References 38 publications

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“…Data in entrepreneurial practice (Zeng 2017). 15) Potential future long-term effects on society and people of an AI-driven entrepreneurial economy (e.g., similar to research studying the long-term effects of the Industrial Revolution and today's cultural and psychological landscapes; Obschonka et al 2018).…”

Section: ) Ecological Sustainable Entrepreneurship and The Ecologicmentioning

confidence: 99%

Artificial intelligence and big data in entrepreneurship: a new era has begun

Obschonka¹,

2019

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While the disruptive potential of artificial intelligence (AI) and Big Data has been receiving growing attention and concern in a variety of research and application fields over the last few years, it has not received much scrutiny in contemporary entrepreneurship research so far. Here we present some reflections and a collection of papers on the role of AI and Big Data for this emerging area in the study and application of entrepreneurship research. While being mindful of the potentially overwhelming nature of the rapid progress in machine intelligence and other Big Data technologies for contemporary structures in entrepreneurship research, we put an emphasis on the reciprocity of the co-evolving fields of entrepreneurship research and practice. How can AI and Big Data contribute to a productive transformation of the research field and the real-world phenomena (e.g., "smart entrepreneurship")? We also discuss, however, ethical issues as well as challenges around a potential contradiction between entrepreneurial uncertainty and rule-driven AI rationality. The editorial gives researchers and practitioners orientation and showcases avenues and examples for concrete research in this field. At the same time, however, it is not unlikely that we will encounter unforeseeable and currently inexplicable developments in the field soon. We call on entrepreneurship scholars, educators, and practitioners to proactively prepare for future scenarios.

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Section: ) Ecological Sustainable Entrepreneurship and The Ecologicmentioning

confidence: 99%

Artificial intelligence and big data in entrepreneurship: a new era has begun

Obschonka¹,

2019

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“…During the past decades, a number of methods have been endorsed for the selection of suitable bicycle routes including meta-heuristics, Q-learning algorithm, and others [29][30][31][32]. Many findings of cyclist preferences and behavior were collected from smartphones [33][34][35][36] and BIG-data sources [37][38][39]. These methods were focused mostly on bicyclist travel route preference in an existing network with the aim to predict the travel demand and highlight safety problems.…”

Section: Adaptation Of Existing Infrastructure For E-pmvsmentioning

confidence: 99%

Challenges Caused by Increased Use of E-Powered Personal Mobility Vehicles in European Cities

2019

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Increased use of e-powered personal mobility vehicles is usually considered to be a positive change, while it is generally agreed that Personal Mobility Vehicles (PMVs) effectively and efficiently reduce the negative environmental impacts of transport and improve quality of life. There has been great technological progress made by all sectors in the field of personal mobility during the last decade. The use of PMVs for micro-mobility have been welcomed by the market, consumers, and governments and thus they are becoming increasingly popular in modern European society. New technology-driven PMVs provide opportunities to their users, but at the same time create problems with street space sharing, road safety, and traffic offenses. This study gives an overview of recent types of PMVs, offers some insights into upcoming changes and challenges, and raises a discussion on themes related to the increased use of e-powered personal transporters.

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“…Over the past decade, a vast amount of scholarly work has examined various aspects of sustainable entrepreneurship, including sustainable entrepreneurs' (SEs') intention and motivation [12][13][14][15][16], SEs' competency [17][18][19], SEs' values [20], SEs' knowledge [5,21], sustainable entrepreneurial opportunity [1,2,[22][23][24], the context for SE [9,[25][26][27][28], success factors for SE [29,30], ways to promote SE [31][32][33][34][35], etc. Although prior studies are insightful, they mainly focus on individual-and/or organization-level factors, albeit the fact that most startups are launched with a group of people [36].…”

Section: Pacheco Et Al (2010) Qualitativementioning

confidence: 99%

“…It means that sustainability-oriented entrepreneurship is likely to be unprofitable or even unsuccessful in the early stages. Sustainable entrepreneurs are less motivated to achieve financial success than traditional entrepreneurs [44], and they may even engage in entrepreneurship with economic loss [35]. Thus, from the above arguments, sustainable entrepreneurs' intrinsic motivation may play a more important role than extrinsic motivation.…”

Section: Sustainable Entrepreneurial Motivationmentioning

confidence: 99%

Sustainable Entrepreneurship Team Scale Development: A Complex Systems Perspective

et al. 2018

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This paper primarily focuses on two questions: (1) "How is a sustainable entrepreneurship team (SET) formed?"; and (2) "What factors contribute to effective SET?". Based on the model of Baron and Henry (2011), we adopt a process view of SET development and propose a conceptual model of a SET work that includes four key elements: (1) Sustainable entrepreneurial motivation; (2) sustainable entrepreneurial opportunity recognition; (3) knowledge resources acquirement; and (4) sustainable entrepreneurial outcome. Furthermore, based on complex systems theory, we elaborate on how individual entrepreneurs form a SET. We also develop a SET scale and provide some initial empirical support for our conceptual model. Finally, based on our qualitative and quantitative results, we offer suggestions for Research Question 2.

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Fostering path of ecological sustainable entrepreneurship within big data network system

Cited by 39 publications

References 38 publications

Artificial intelligence and big data in entrepreneurship: a new era has begun

Artificial intelligence and big data in entrepreneurship: a new era has begun

Challenges Caused by Increased Use of E-Powered Personal Mobility Vehicles in European Cities

Sustainable Entrepreneurship Team Scale Development: A Complex Systems Perspective

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