Navigating innovation in the age of AI: how generative AI and innovation influence organizational performance in the manufacturing sector DOI
Salman Khan, Shafaqat Mehmood, Safeer Ullah Khan

и другие.

Journal of Manufacturing Technology Management, Год журнала: 2024, Номер unknown

Опубликована: Дек. 12, 2024

Purpose Generative artificial intelligence (GenAI) is one of the most diffused AI technologies, capable generating manifold forms content, including music, text, images and synthetic data. The purpose this study to analyze determinants that affect GenAI acceptance its outcomes on both explorative exploitative innovation. Design/methodology/approach employs a conceptual framework based technology-organization-environment (TOE) paradigm. Through Smart-PLS analysis, it examines empirical data retrieved from an online survey where 302 manufacturing companies took part. Findings It found has potential facilitate exploratory innovation, particularly via moderating effect environmental dynamism. Hence adoption improve organizational performance. Originality/value first project investigate factors influence firms' GenAI. As have integrated TOE paradigm when examining impact dynamism emphasizes double innovation in performance improvement.

Язык: Английский

Combined importance–performance map analysis (cIPMA) in partial least squares structural equation modeling (PLS–SEM): a SmartPLS 4 tutorial DOI Creative Commons
Marko Sarstedt, Nicole Richter, Sven Hauff

и другие.

Journal of Marketing Analytics, Год журнала: 2024, Номер unknown

Опубликована: Июнь 4, 2024

Abstract Recent research on partial least squares structural equation modeling (PLS–SEM) extended the classic importance–performance map analysis (IPMA) by taking results of a necessary condition (NCA) into consideration. By also highlighting conditions, combined (cIPMA) offers tool that enables better prioritization management actions to improve key target construct. In this article, we showcase cIPMA’s main steps when using SmartPLS 4 software. Our illustration draws technology acceptance model (TAM) used in original publication, which features prominently business research.

Язык: Английский

Процитировано

11
Predictive Analytics and Big Data in Forecasting Recycling Trends DOI

Aparna Unni,

Harpreet Kaur Channi

Advances in environmental engineering and green technologies book series, Год журнала: 2025, Номер unknown, С. 177 - 210

Опубликована: Янв. 16, 2025

Predictive analytics and big data enhance recycling by analyzing social media, sensors, municipal data. Advanced algorithms manage resource allocation operations, forecasting trends from population growth economic factors. Machine learning identifies patterns predicts future rates. In India (2010-2024), Python's Pandas Scikit-learn used linear regression to forecast trends, showing annual increases. Residuals analysis confirms model accuracy, suggesting that strategies are effective room for improvement exists.

Язык: Английский

Процитировано

0
Critical criteria for restaurant technology application: the interrelationship effect of influencing technology acceptance and brand equity DOI Creative Commons
Chih‐Hsing Liu, Sheng-Fang Chou,

Jun-You Lin

и другие.

Journal of Marketing Analytics, Год журнала: 2025, Номер unknown

Опубликована: Янв. 17, 2025

Язык: Английский

Процитировано

0
Navigating innovation in the age of AI: how generative AI and innovation influence organizational performance in the manufacturing sector DOI
Salman Khan, Shafaqat Mehmood, Safeer Ullah Khan

и другие.

Journal of Manufacturing Technology Management, Год журнала: 2024, Номер unknown

Опубликована: Дек. 12, 2024

Purpose Generative artificial intelligence (GenAI) is one of the most diffused AI technologies, capable generating manifold forms content, including music, text, images and synthetic data. The purpose this study to analyze determinants that affect GenAI acceptance its outcomes on both explorative exploitative innovation. Design/methodology/approach employs a conceptual framework based technology-organization-environment (TOE) paradigm. Through Smart-PLS analysis, it examines empirical data retrieved from an online survey where 302 manufacturing companies took part. Findings It found has potential facilitate exploratory innovation, particularly via moderating effect environmental dynamism. Hence adoption improve organizational performance. Originality/value first project investigate factors influence firms' GenAI. As have integrated TOE paradigm when examining impact dynamism emphasizes double innovation in performance improvement.

Язык: Английский

Процитировано

2