Data-driven market effectiveness: The role of a sustained customer analytics capability in business operations

Hossain, Afnan; Akter, Shahriar; Yanamandram, Venkata; Wamba, Samuel Fosso

doi:10.1016/j.techfore.2023.122745

Cited by 5 publications

(2 citation statements)

References 112 publications

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“…Long-term survival indicates that the business needs to adopt digital capabilities that influence sustainable results [ 95 ] and a business innovation model. The exploitation capabilities enable the firms to improve their business processes with innovation [ 42 ]. The digital ambidextrous capabilities allow firms to revise their business operations to fulfil the needs of existing customers [ 96 ].…”

Section: Discussionmentioning

confidence: 99%

Digital transformation as the driving force for sustainable business performance: A moderated mediation model of market-driven business model innovation and digital leadership capabilities

Chen,

Li,

Shahid

2024

Heliyon

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Section: Discussionmentioning

confidence: 99%

Digital transformation as the driving force for sustainable business performance: A moderated mediation model of market-driven business model innovation and digital leadership capabilities

Chen,

Li,

Shahid

2024

Heliyon

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“…Historical resource consumption and maintenance information provides statistics-driven choice-making, reducing working prices (Knudsen, Lien, Timmermans, Belik, & Pandey, 2021). Big data facilitates companies to tailor sustainable landscaping items and offerings to consumer choices (Hossain, Akter, Yanamandram, & Wamba, 2023). Market-pushed processes can improve monetary sustainability by increasing marketplace percentages and earnings.…”

Section: Utilization Of Big Data and Sustainabilitymentioning

confidence: 99%

Sustainable Landscape Design and Traditional Villages in Xuzhou, Jiangsu: Low-cost Strategies and Big Data Applications Influencing AI Integration

Wang,

Mayusoh,

Inkuer

2024

J INFORM SYSTEMS ENG

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Big Data usage and Artificial Intelligence (AI) technology combined offer a potential approach to solving challenging problems. AI-driven solutions provide insightful analysis and creative solutions by utilizing the power of big data analytics. With an emphasis on the mediating role of technological literacy and the moderating effect of resource availability, this study investigates the effects of low-cost techniques, the usage of Big Data, and the integration of Artificial Intelligence (AI) on sustainability in landscape design. The purpose of this study is to look at the intricate connections between these factors and how they affect sustainable landscape design methods and results as a whole. A standardized questionnaire was answered by a sample of 458 landscape experts as part of a quantitative approach. Smart PLS (Partial Least Squares), which incorporates evaluations of measurement models, structural models, and mediation and moderation studies, was utilized for data analysis. The study found that using Big Data, implementing low-cost techniques, and incorporating AI all had very favourable effects on sustainability in landscape design. The efficient use of Big Data and AI was found to be mediated by technological literacy, highlighting the importance of this concept in this context. Additionally, resource availability emerged as a critical moderating factor, influencing the strength of these relationships. This research contributes to the field by offering a holistic understanding of the dynamics within sustainable landscape design, emphasizing the importance of integration of AI and utilization of Big Data. It provides practical insights for landscape professionals, informs policy development, and advances educational curricula about AI and Big Data in landscape architecture. The study's limitations include potential response bias due to self-reported data and the cross-sectional design, which restricts the establishment of causal relationships. Additionally, the study focused on professionals, limiting the generalizability of findings to broader community perspectives.

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Developing customer analytics capability in firms of different ages: Examining the complementarity of outside-in and inside-out resources

Mehrabi,

Chen,

Keramati

2024

Industrial Marketing Management

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Data-driven market effectiveness: The role of a sustained customer analytics capability in business operations

Cited by 5 publications

References 112 publications

Digital transformation as the driving force for sustainable business performance: A moderated mediation model of market-driven business model innovation and digital leadership capabilities

Digital transformation as the driving force for sustainable business performance: A moderated mediation model of market-driven business model innovation and digital leadership capabilities

Sustainable Landscape Design and Traditional Villages in Xuzhou, Jiangsu: Low-cost Strategies and Big Data Applications Influencing AI Integration

Developing customer analytics capability in firms of different ages: Examining the complementarity of outside-in and inside-out resources

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