Evaluating the effect of green technological innovations on organizational and environmental performance: A treble innovation approach

Technovation, Год журнала: 2023, Номер 129, С. 102885 - 102885

Опубликована: Окт. 11, 2023

Язык: Английский

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Artificial intelligence-driven scalability and its impact on the sustainability and valuation of traditional firms

Humanities and Social Sciences Communications, Год журнала: 2023, Номер 10(1)

Опубликована: Ноя. 8, 2023

Abstract The objective of this study is to determine the impact artificial intelligence (AI) on earnings before interest, taxes, depreciation, and amortization (EBITDA) firms as a proxy their financial economic margins by improving revenues minimizing expenses. This positive market value scalability sustainability companies. methodology based business plan that considers savings obtained traditional firm implementing AI. Specifically, sensitivity analysis will demonstrate AI key parameters, leading sustainability. Additionally, mathematical interpretation, network theory, be produced provide compare added two ecosystems (without with adds up new nodes strengthens existing ones). main contribution paper combination unrelated approaches, showing potential in scalable ecosystems. In future research, innovative could extended other technological applications.

Язык: Английский

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Digitalization strategy adoption: The roles of key stakeholders, big data organizational culture, and leader commitment

International Journal of Hospitality Management, Год журнала: 2023, Номер 117, С. 103643 - 103643

Опубликована: Дек. 9, 2023

This study investigates key stakeholder factors that contribute to big data organizational culture, leading the adoption of digitalization strategy in hospitality industry. It also determines interaction between culture and leader commitment influencing adoption. Following a pilot test ensure suitability measures, three-wave survey was conducted obtain from 438 hotels an emerging economy. Structural equation modeling results reveal three (i.e., customer orientation, supplier cooperation, employee information technology skills) positively affect which turn enhances strategies. Moreover, moderates link These findings advance extant literature on digital transformation strategy. They provide important implications for managers understanding promoting

Язык: Английский

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Construction of big data comprehensive pilot zones, new quality productive forces and transformation of watershed resource–based cities: Double machine learning approach

Sustainable Cities and Society, Год журнала: 2025, Номер unknown, С. 106144 - 106144

Опубликована: Янв. 1, 2025

Язык: Английский

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Using big data for generating firm-level innovation indicators - a literature review

Technological Forecasting and Social Change, Год журнала: 2023, Номер 197, С. 122874 - 122874

Опубликована: Сен. 28, 2023

Язык: Английский

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Selling and monetizing data in B2B markets: Four data-driven value propositions

Technovation, Год журнала: 2023, Номер 130, С. 102935 - 102935

Опубликована: Дек. 30, 2023

Data has become a powerful source of competitive advantage in contemporary business-to-business (B2B) markets, enabling vendors to create enhanced and completely new value propositions. However, while many firms can generate lot data from their businesses, they struggle translate it into sellable offerings. To address this issue, study examines how sell monetize B2B markets. Based on an extensive multiple case study, identifies four archetypical data-driven propositions (data as product, data-enhanced products, services, data-enabled performance outcomes) illuminates the key data-related capabilities challenges related each proposition. The findings contribute digital servitization monetization literatures by illustrating industrial harness, package, For managers, offers important insights various strategies needed

Язык: Английский

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Developing big data enabled Marketing 4.0 framework

International Journal of Information Management Data Insights, Год журнала: 2024, Номер 4(1), С. 100214 - 100214

Опубликована: Янв. 17, 2024

Due to the industrial revolution and, thereby with, emergence of Industry 4.0, there has been an impact on marketing business firms, enabling them digitally transform and adopt Marketing 4.0 practices supported by smart technologies. One these is Big Data Analytics (BDA), which enables a firm improve its practices. The main objective this study evaluate how integrating big data technology improves strategies Indian FMCG companies operating in dynamic highly competitive market distinguished size diversity, constantly changing consumer behaviour, trends. This adopts systematic approach coding interview with seasoned professionals explain capabilities molding A framework constructed based same. theoretical practical implications are discussed visualize applicability business. Further, Resource-based View (RBV) theory for describing insights into role adoption firms enhancing performance achieving competitiveness, along demonstrating benefits decision-making, customer loyalty internal capability assessment.

Язык: Английский

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A data-driven decision-making readiness assessment model: The case of a Swedish food manufacturer

Decision Analytics Journal, Год журнала: 2024, Номер 10, С. 100405 - 100405

Опубликована: Янв. 25, 2024

This study proposes a model to assess data-driven decision-making (DDDM) readiness in organizations. We present the results from investigating DDDM of Swedish organization food industry. designed and developed questionnaire collect data about organization's IT systems. conducted eleven interviews at case organization: ten with various functional decision-makers one Manager The interview were then analyzed against known decision theories state-of-the-art DDDM. Based on outcomes, we analyze according assessment recommend changes for decisions. findings show that while was assessed as ready process decision-maker pillars, it not or analytics pillars. Accordingly, set actions, including considering integration systems, further developing dashboards, increasing resources (such enterprise warehouse, big management tools, lake environment, algorithms), defining key roles necessary digitalization Data Engineer, Scientist, Business Intelligence Specialist, Chief Officer, Warehouse Designer/Administrator). contribution this is model, accompanied by determining level

Язык: Английский

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Big data and predictive analytics: A sytematic review of applications

Artificial Intelligence Review, Год журнала: 2024, Номер 57(7)

Опубликована: Июнь 17, 2024

Abstract Big data involves processing vast amounts of using advanced techniques. Its potential is harnessed for predictive analytics, a sophisticated branch that anticipates unknown future events by discerning patterns observed in historical data. Various techniques obtained from modeling, mining, statistics, artificial intelligence, and machine learning are employed to analyze available history extract discriminative predictors. This study aims the main research approaches on Data Predictive Analytics (BDPA) based very up-to-date published articles 2014 2023. In this article, we fully concentrate analytics big mining techniques, where perform Systematic Literature Review (SLR) reviewing 109 articles. Based application content current studies, introduce taxonomy including seven major categories industrial, e-commerce, smart healthcare, agriculture, city, Information Communications Technologies (ICT), weather. The benefits weaknesses each approach, potentially important changes, open issues, addition paths, discussed. compiled SLR not only extends BDPA’s strengths, works but also detects need optimizing insufficient metrics applications, such as timeliness, accuracy, scalability, which would enable organizations apply shift retrospective prospective if fulfilled.

Язык: Английский

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Business continuity management and organizational resilience: A small and medium enterprises (SMEs) perspective

Journal of Contingencies and Crisis Management, Год журнала: 2023, Номер 31(4), С. 670 - 682

Опубликована: Май 8, 2023

Abstract In the current complex and uncertain scenarios, organizations are increasingly subjected to hazardous events threats, which can be critical for their business operations performance. these settings, likely experience high‐cost impact if they unprepared when a crisis strikes. This is more challenging small medium enterprises (SMEs) that, due limited organizational financial resources, called resilient providing an effective response such threats safeguard interests of key stakeholders protect reputation brand. Business continuity management (BCM) commonly known as one most processes used by cope with emergencies continue or resume operations, thus contributing strengthen resilience (OR). Based on literature review, this study provides overview BCM highlighting main implementation requirements, challenges, contribution enhance OR. It also proposes conceptual framework that shows how functional strongly connected OR, especially SMEs. Finally, implications scholars, practitioners, policy‐makers provided recall research evidence inspire future investigations.

Язык: Английский

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