Is AI-based digital marketing ethical? Assessing a new data privacy paradox DOI Creative Commons
José Ramón Saura, Vatroslav Škare, Đurđana Ozretić Došen

et al.

Journal of Innovation & Knowledge, Journal Year: 2024, Volume and Issue: 9(4), P. 100597 - 100597

Published: Oct. 1, 2024

Language: Английский

Fueling innovation management research: Future directions and five forward‐looking paths DOI Creative Commons
Jelena Spanjol, Charles H. Noble, Markus Baer

et al.

Journal of Product Innovation Management, Journal Year: 2024, Volume and Issue: unknown

Published: July 29, 2024

Abstract Research about innovation management explores how the future is created—who creating it (organizations, collaborations, etc.), for what aims (customer satisfaction, market performance, and with broader effects (social, environmental, etc.). With this extended essay, we explore potential futures of research in three ways. First, briefly review history past agendas priorities published Journal Product Innovation Management (JPIM), highlighting broad topic areas (technological, social/environmental, organizational) that have emerged over time their disruptive implications research. Second, describe outcome a gathering leading scholars tasked challenge identifying critical paths our field. This collaboration resulted five “deep dive” essays into ripe years ahead: liquid innovation, artificial intelligence business model public value responsible innovation. Third, reflect on expansive effort offer discussion (tensions, challenges, opportunities) scholarship.

Language: Английский

Citations

12

Embryonic Machine-Deep Learning, Smart Healthcare and Privacy Deliberations in Hospital Industry: Lensing Confidentiality of Patient’s Information and Personal Data in Legal-Ethical Landscapes Projecting Futuristic Dimensions DOI
Bhupinder Singh, Christian Kaunert

Published: Jan. 1, 2024

Language: Английский

Citations

12

Intelligent Manufacturing through Generative Artificial Intelligence, Such as ChatGPT or Bard DOI
Nitin Liladhar Rane, Saurabh Choudhary, Jayesh Rane

et al.

SSRN Electronic Journal, Journal Year: 2024, Volume and Issue: unknown

Published: Jan. 1, 2024

This research paper explores the transformative possibilities arising from integration of ChatGPT, an advanced language model, into domain intelligent manufacturing. In face rapid changes in manufacturing landscape, there is increasing demand for adaptive and systems to elevate efficiency, productivity, decision-making processes. study investigates incorporation ChatGPT's or Bard cutting-edge natural processing capabilities various forefront aspects establish a novel paradigm The ChatGPT processes presents versatile approach tackle challenges seize opportunities within modern production systems. A pivotal aspect this lies augmenting human-machine collaboration factory. understanding facilitates seamless communication between human operators automated systems, fostering more intuitive responsive environment. Additionally, delves utilization predictive maintenance facilities. Through analysis historical data real-time information, can provide insights potential equipment failures, enabling proactive strategies that mitigate downtime optimize resource utilization. also application supply chain management. model's capacity process vast amounts textual contributes improved forecasting, inventory optimization, risk results resilient agile ecosystem capable adapting dynamic market conditions. Furthermore, role quality control defect detection. model analyze intricate patterns data, identifying anomalies defects with high degree accuracy. Integrating assurance ensures higher product quality, reducing waste, enhancing overall customer satisfaction. findings highlight revolutionize processes, propelling industry towards greater adaptability, competitiveness rapidly evolving global market.

Language: Английский

Citations

11

AI-powered growth hacking: benefits, challenges and pathways DOI
Gabriele Santoro, Fauzia Jabeen, Tomáš Klieštik

et al.

Management Decision, Journal Year: 2024, Volume and Issue: unknown

Published: May 27, 2024

Purpose This paper aims to (1) unveil how artificial intelligence (AI) can be implemented in growth-hacking strategies; and (2) identify the challenges enabling factors associated with AI’s implementation these strategies. Design/methodology/approach The empirical study is based on two distinct groups of analysis units. Firstly, it involves 11 companies (identified as F1 F11 Table 1) that employ principles use AI support their decision-making operations. Secondly, interviews were conducted four businesses entrepreneurs providing consultancy services growth digital approach allowed us gain a broader view phenomenon. Data was performed using Gioia methodology. Findings firstly uncovers principal benefits applications hacking, such enhanced data user behaviour insights, sales augmentation, traffic revenue forecasting, campaign development optimization, customer service enhancement through chatbots. reveals catalysts AI-driven highlighting crucial roles experimentation, creativity collection. Originality/value research represents inaugural scientific investigation into role It both facilitators this domain. Practically, offers detailed insights operationalization across various phases aspects including product-market fit, acquisition, virality retention.

Language: Английский

Citations

11

Is AI-based digital marketing ethical? Assessing a new data privacy paradox DOI Creative Commons
José Ramón Saura, Vatroslav Škare, Đurđana Ozretić Došen

et al.

Journal of Innovation & Knowledge, Journal Year: 2024, Volume and Issue: 9(4), P. 100597 - 100597

Published: Oct. 1, 2024

Language: Английский

Citations

11