Guest Editorial Resource, Routine, Reputation, or Regulation Shortages: Can Data- and Analytics-Driven Capabilities Inform Tech Entrepreneur Decisions

Abstract

His research interests include digitalization of products and supply chains in startup and established firms. Prof. Joglekar is currently serving as a Department Editor for the IEEE TRANSACTIONS ON ENGINEERING MANAGEMENT.

Eras of Digital Entrepreneurship

“…The development of big data analytics capabilities, considered as a “company’s abilities to leverage on technology and talent to exploit big data” (Ciampi et al 2021 , p. 2) – could therefore be critical for entrepreneurial actors to compete in highly dynamic and digitalized markets. Individuals and organizations with big data analytics capabilities are the most likely to exploit the potential to reduce entrepreneurial risks and uncertainties (Çanakoğlu et al 2018 ), inform entrepreneurial decisions (Lévesque and Joglekar 2018 ), and improve venture innovation performance (Mariani and Nambisan 2021 ), for instance. We expect the large amount of data and the burgeoning options to analyze them might lead to “data-driven entrepreneurship,” where data-driven techniques and technologies shape the elements of the entrepreneurial process (Çanakoğlu et al 2018 ).…”

Boosting Performance in Data Science Competition Using Topic-Driven Analytics: Evidence From Recommendation System Design on Kaggle

“…In the DID analysis, we deploy three types of treatment; these are all messages 𝐺 𝑖,𝑡 1 , topic-dominant 𝐺 𝑖,𝑡 2 , and topic-dispersion 𝐺 𝑖,𝑡 3 . This allows us to refine our hypotheses: Hypothesis 1.…”

“…The changing nature of these customer behavior patterns poses challenges to the decision support system to constantly evolve to re-train the machine learning model in order to provide robust and accurate results [2]. The availability of machine learning technology offers a wide range of options that companies can strategically use in their businesses [3], [4].…”

Eras of digital entrepreneurship: connecting the past, present, and future

“…• innovation analytics (Çanakoğlu et al, 2018;Ciampi et al, 2021;Lévesque & Joglekar, 2018;Lin & Kunnathur, 2019;Mariani & Nambisan, 2021) 62 Handbook of digital entrepreneurship 2020). Researchers anticipate that the automation ability of artificial intelligence and its predictive capabilities will affect opportunity recognition, evaluation, and exploitation (Shane & Venkataraman, 2000) at all stages of the entrepreneurial process (Fossen & Sorgner, 2021;Garbuio & Lin, 2019).…”

“…The development of big data analytics capabilities, considered as a "company's abilities to leverage on technology and talent to exploit big data" (Ciampi et al, 2021, p. 2) -could therefore be critical for entrepreneurial actors to compete in highly dynamic and digitalized markets. Individuals and organizations with big data analytics capabilities are the most likely to exploit the potential to reduce entrepreneurial risks and uncertainties (Çanakoğlu et al, 2018), inform entrepreneurial decisions (Lévesque & Joglekar, 2018), and improve venture innovation performance (Mariani & Nambisan, 2021), for instance. We expect the large amount of data and the burgeoning options to analyze them might lead to "data-driven entrepreneurship," where data-driven techniques and technologies shape the elements of the entrepreneurial process (Çanakoğlu et al, 2018).…”