Digital Marketing untuk Meningkatkan Efisiensi Usaha Batu Bata di Kabupaten Banyuasin DOI Open Access

Febria Sri Handayani,

Hendra Hadiwijaya,

Meidyan Permata Putri

et al.

Jurnal ABDINUS Jurnal Pengabdian Nusantara, Journal Year: 2025, Volume and Issue: 9(1), P. 58 - 66

Published: Jan. 1, 2025

Ketatnya persaingan bisnis di era globalisasi menuntut UMKM untuk melakukan transformasi digital. Pengrajin Batu Bata Lan Kabupaten Banyuasin merupakan salah satu yang tengah berusaha menerapkan digitalisasi dalam bisnisnya meningkatkan penjualan. Kegiatan ini bertujuan mentransfer pengetahuan, menyediakan Website sebagai alat bantu pemasaran digital, serta memberikan pelatihan dan pendampingan agar proses adopsi khususnya berjalan dengan efektif. Program mencakup literasi digital dasar, e-commerce, Berdasarkan umpan balik dari Lan, sangat membantunya memahami mengimplementasikan sebelumnya kurang mitra PKM pahami. Hasil penerapan ialah Penjualan produk meningkat sebesar 25%.

A framework for AI-powered service innovation capability: Review and agenda for future research DOI
Shahriar Akter, Md Afnan Hossain, Shahriar Sajib

et al.

Technovation, Journal Year: 2023, Volume and Issue: 125, P. 102768 - 102768

Published: May 16, 2023

Language: Английский

Citations

101

Marketing analytics: The bridge between customer psychology and marketing decision‐making DOI Creative Commons
Rituparna Basu, Weng Marc Lim, Anil Kumar

et al.

Psychology and Marketing, Journal Year: 2023, Volume and Issue: 40(12), P. 2588 - 2611

Published: Sept. 25, 2023

Abstract As modern marketing environments become increasingly data‐intensive, the role of analytics in illuminating dynamics customer psychology to inform decision‐making becomes critical. This study conducts a systematic literature review using bibliometric analysis 122 studies identified and retrieved from Scopus, focusing on expansive domain analytics. Our serves as conduit binding fragmented past, present, future analytics, presenting an organized framework that highlights characteristic theoretical underpinnings associated with it. Beyond offering panoramic perspective key resources—encompassing journals, authors, countries/territories, institutions—we delve deeply into predominant themes These underscore its vital applications, decision‐making, forecasting, capability building, understanding journeys gaining competitive edge. Central our discourse is study's implication, emphasizing bridge more informed grasp today's customer‐centric, data‐driven environment. Through this lens, potent tool capture psychological nuances, uncovering facets might be bypassed by traditional marketing, thereby empowering enriched strategies.

Language: Английский

Citations

46

Understanding the relationship between marketing analytics, customer agility, and customer satisfaction: A longitudinal perspective. DOI Creative Commons
Gomaa Agag, Yasser Moustafa Shehawy, Ahmed Almoraish

et al.

Journal of Retailing and Consumer Services, Journal Year: 2023, Volume and Issue: 77, P. 103663 - 103663

Published: Dec. 8, 2023

Shifting towards a more data-driven culture is key antecedent of business success in today's digital era. Previous research has paid attention to exploring the influence marketing analytics on performance, and rarely examined how use influences customer agility satisfaction. According dynamic capabilities view using previous studies, we developed conceptual framework explore effect In Study 1, utilised cross-sectional data collected from 468 managers various industries. study 2, employed longitudinal three-wave utilising cross-lagged panel model. 1 indicated that acquisition tool are drivers adopting analytics. Marketing stronger when market turbulence high. They also revealed satisfaction such conditions stronger. 2 at time point T1 significant positive T2, while T2 T3. These findings indicate strong temporal effects between use, agility, The suggest researchers should look beyond direct shift their can be leveraged enable support

Language: Английский

Citations

45

Artificial intelligence capability and organizational performance: unraveling the mediating mechanisms of decision-making processes DOI
Suheil Neiroukh, Okechukwu Lawrence Emeagwali, Hasan Yousef Aljuhmani

et al.

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

Published: June 12, 2024

Purpose This study investigates the profound impact of artificial intelligence (AI) capabilities on decision-making processes and organizational performance, addressing a crucial gap in literature by exploring mediating role speed quality. Design/methodology/approach Drawing upon resource-based theory prior research, this constructs comprehensive model hypotheses to illuminate influence AI within organizations speed, decision quality, and, ultimately, performance. A dataset comprising 230 responses from diverse forms basis analysis, with employing partial least squares structural equation (PLS-SEM) for robust data examination. Findings The results demonstrate pivotal shaping capability significantly positively affects overall Notably, is critical factor contributing enhanced further uncovered mediation effects, suggesting that partially mediate relationship between performance through speed. Originality/value contributes existing body providing empirical evidence multifaceted Elucidating advances our understanding complex mechanisms which drive success.

Language: Английский

Citations

19

Artificial intelligence and innovation capability: A dynamic capabilities perspective DOI Creative Commons
Yang Gao, S. Y. Liu, Lu Yang

et al.

International Review of Economics & Finance, Journal Year: 2025, Volume and Issue: unknown, P. 103923 - 103923

Published: Jan. 1, 2025

Language: Английский

Citations

3

The impact of artificial intelligence on corporate greenwashing: evidence from the Chinese listed firms DOI
Xiaohang Ren,

Sihuan Hu,

Xianming Sun

et al.

Journal of Accounting Literature, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 28, 2025

Language: Английский

Citations

2

The impact of artificial intelligence on total factor productivity: empirical evidence from China’s manufacturing enterprises DOI
Ke-Liang Wang,

Ting-Ting Sun,

Ru-Yu Xu

et al.

Economic Change and Restructuring, Journal Year: 2022, Volume and Issue: 56(2), P. 1113 - 1146

Published: Dec. 5, 2022

Language: Английский

Citations

39

How to drive the participation willingness of supply chain members in metaverse technology adoption? DOI
Xiaole Wan, Guixian Zhang,

Ye Yuan

et al.

Applied Soft Computing, Journal Year: 2023, Volume and Issue: 145, P. 110611 - 110611

Published: July 8, 2023

Language: Английский

Citations

23

Unleashing the power of artificial intelligence for climate action in industrial markets DOI Creative Commons
Shahriar Akter, Mujahid Mohiuddin Babu, Umme Hani

et al.

Industrial Marketing Management, Journal Year: 2024, Volume and Issue: 117, P. 92 - 113

Published: Jan. 2, 2024

Artificial Intelligence (AI) is a game-changing capability in industrial markets that can accelerate humanity's race against climate change. Positioned resource-hungry and pollution-intensive industry, this study explores AI-powered service innovation capabilities their overall effects. The develops validates an AI model, identifying three primary dimensions nine subdimensions. Based on dataset the fast fashion findings show significantly influence both environmental market performance, which performance acts as partial mediator. Specifically, results identify key elements of AI-informed framework for action how be used to develop range mitigation, adaptation resilience initiatives response

Language: Английский

Citations

14

Green entrepreneurship success in the age of generative artificial intelligence: The interplay of technology adoption, knowledge management, and government support DOI
Shaofeng Wang, Hao Zhang

Technology in Society, Journal Year: 2024, Volume and Issue: 79, P. 102744 - 102744

Published: Oct. 31, 2024

Language: Английский

Citations

13