Evaluating the impact of digital and financial literacy on MSME performance DOI

Purari Kumar,

Akriti Chandra,

Shivani Shivani

и другие.

Journal of the International Council for Small Business, Год журнала: 2024, Номер unknown, С. 1 - 13

Опубликована: Окт. 9, 2024

The objective of this study was to determine the critical success factors that contribute performance micro-, small, and medium-sized enterprises (MSMEs) in context digital financial literacy. This employed total interpretive structural modeling approach construct a hierarchical model important elements analyze their direct indirect interconnections. article specifies six impact MSMEs, with consideration effects value generation leading enhanced performance. results indicate entrepreneurial orientation literacy are primary components developed model, all collectively contributing overall By identifying categorizing key within strategic provides MSME founders systematic way enhance business competency, which has significant consequences for growth success. research assists policy makers practitioners improving MSMEs.

Язык: Английский

Artificial intelligence (AI) for good? Enabling organizational change towards sustainability DOI Creative Commons

Julia Schwaeke,

Carolin Gerlich,

Hong Linh Nguyen

и другие.

Review of Managerial Science, Год журнала: 2025, Номер unknown

Опубликована: Янв. 22, 2025

Язык: Английский

Процитировано

3

Sowing the seeds for sustainability: A business model innovation perspective on artificial intelligence in green technology startups DOI Creative Commons
Philip Jorzik, Jerome L. Antonio, Dominik K. Kanbach

и другие.

Technological Forecasting and Social Change, Год журнала: 2024, Номер 208, С. 123653 - 123653

Опубликована: Авг. 24, 2024

In today's data-driven era, ubiquitous concern about environmental issues pushes more startups to engage in business model innovation that promotes environmentally friendly technologies. The goal of these is create technology-based products and services enhance sustainability. this context, artificial intelligence promises be a key instrument create, capture, deliver value. However, the existing literature lacks deep understanding how using AI innovate their models achieve positive impact. Therefore, paper investigates green technology utilize from perspective for We conduct qualitative, exploratory multiple-case study Eisenhardt methodology, based on interview data analyzed qualitative content analysis. derive five predominant manifestations AI-driven identify archetypical connections between dimensions. Further, we establish three overarching associations among cases. doing so, contribute theory practice by providing deeper account attempt maximize impact through AI. results also highlight driven can support society securing sustainable future.

Язык: Английский

Процитировано

14

Exploring the effect of financial technology on the sustainability of small and medium enterprises in Mogadishu, Somalia DOI Creative Commons

Mohamed Abdi Elmi,

Faadumo Osman Abdulkadir,

Akram Mahad Mohamud

и другие.

Cogent Business & Management, Год журнала: 2025, Номер 12(1)

Опубликована: Фев. 4, 2025

Язык: Английский

Процитировано

0

Empowering Thai SMEs through IT competency, digitalization and digital transformation for new product development DOI Creative Commons
Pittawat Ueasangkomsate

Cogent Business & Management, Год журнала: 2025, Номер 12(1)

Опубликована: Фев. 4, 2025

Язык: Английский

Процитировано

0

Readiness for artificial intelligence adoption by auditors in emerging countries – a PLS-SEM analysis of Moroccan firms DOI
Issam Benhayoun,

Salma Bougrine,

Aimad Sassioui

и другие.

Journal of financial reporting & accounting, Год журнала: 2025, Номер unknown

Опубликована: Фев. 17, 2025

Purpose The aim of this study is to investigate the factors that influence readiness adopt artificial intelligence (AI) tools within Moroccan auditing firms. Design/methodology/approach A quantitative research design was used, using survey data examine perceived usefulness (PU), ease use (EU) and top management commitment (TMC) on AI adoption (AIAR) in auditing. conceptual model, drawing from technology acceptance model (TAM) supported by findings previous literature, proposed. tested partial least squares – structural equation modelling collected 116 respondents. Findings confirmed PU TMC do not significantly AIAR Morocco, whereas EU positively associated AIAR. Research limitations/implications presents based a single country, which may limit broader applicability results other contexts or regions with different regulatory, cultural economic environments. Practical implications suggest TAM necessarily adapted an emerging context like Morocco. significant role suggests firms should prioritize development integration are intuitive user-friendly. be presented only as tool for enhancing audit quality but also means reducing workload improving efficiency. Furthermore, rather than relying solely top-down mandates, more decentralized approach could effective, where individual auditors empowered experiment integrate them into their practices. This foster culture innovation gradual adoption, increasing likelihood successful Social can promote societal benefits transparency, accountability trust both public private sectors. In countries financial transparency lacking vital stability, help reduce corruption, improve decision-making trust, ultimately supporting investment social equity. Originality/value paper offers original contribution examining Morocco’s sector, focusing market African context. Unlike studies developed countries, it highlights unique challenges opportunities faced auditors, considering PU, TMC. It organizations assess ability employees effectively workflows.

Язык: Английский

Процитировано

0

Management accounting as a business intelligence system. Examination in Portuguese small and medium enterprises DOI Creative Commons
Célia Santos, Álvaro Rocha, Amélia Ferreira da Silva

и другие.

Neural Computing and Applications, Год журнала: 2025, Номер unknown

Опубликована: Март 20, 2025

Язык: Английский

Процитировано

0

REASSESSING LEGAL RECOGNITION OF AI: HUMAN DIGNITY AND THE CHALLENGE OF AI AS A LEGAL SUBJECT IN INDONESIA DOI Creative Commons
Hari Sutra Disemadi,

Lu Sudirman

MASALAH-MASALAH HUKUM, Год журнала: 2025, Номер 54(1), С. 1 - 12

Опубликована: Март 27, 2025

The rapid development of artificial intelligence (AI) presents complex challenges in legal theory, particularly regarding the question AI as a subject. As becomes increasingly capable creative work and decision-making, arises whether it should be recognized legally an entity its own right. This study explores implications recognizing subject through lens Immanuel Kant's philosophy, focusing on human dignity. Kant argues that dignity is intrinsic, grounded capacity for rational thought moral responsibility, characteristic lacks. Thus, risks undermining by equating beings with entities do not possess autonomy or ethical awareness. examines current framework Indonesia, highlighting lack clear regulation AI, philosophical, ethical, practical considerations involved treatment AI. It treated tool, subject, ensuring remains cornerstone system. paper concludes advocating fragmented, sector-specific approach to more focused oversight while protecting

Язык: Английский

Процитировано

0

Menschzentrierte Einführung von Künstlicher Intelligenz in Produktion und Engineering DOI Creative Commons
Philipp Hein, Katharina Simon,

Alexander Kögel

и другие.

Zeitschrift für wirtschaftlichen Fabrikbetrieb, Год журнала: 2025, Номер 120(s1), С. 12 - 16

Опубликована: Март 20, 2025

Abstract Die Einführung von Künstlicher Intelligenz (KI) wird häufig als disruptiver Wandel der Arbeitswelt beschrieben. Erfahrungen aus praxisnahen Forschung zeigen jedoch, dass die Implementierung KI in kleinen und mittleren Unternehmen (KMU) eher Form spezifischen Anwendungen erfolgt, nur bestimmte Mitarbeitende verschiedenen Rollen betreffen. Anhand zwei Anwendungsfällen zeigt Beitrag auf, wie menschenzentrierte Gestaltung wichtige Ansätze für erfolgreiche bietet.

Процитировано

0

Keys in the Adoption of New Technologies in Latin American SMEs DOI
Eduardo Carlos Dittmar, Víctor Manuel Castillo Girón

Advances in computational intelligence and robotics book series, Год журнала: 2025, Номер unknown, С. 301 - 338

Опубликована: Март 7, 2025

This research examines the integration of advanced technologies, particularly Artificial Intelligence (AI), in Small and Medium-sized Enterprises (SMEs) across Latin America. It addresses a gap scholarship regarding technological advancement regional SMEs. Our study, based on data from 306 SME executives six countries, reveals growing trend towards technology adoption, especially customer-oriented sectors, driven by desires for improved operational efficiency productivity. Major barriers include high initial costs lack skilled personnel. The findings highlight need tailored digital strategies America, considering unique motivations, challenges, contexts study offers insights policymakers, tech industry leaders, decision-makers navigating transformation AI era, emphasizing importance strategic alignment, comprehensive implementation business areas, addressing workforce skill gaps successful evolution.

Язык: Английский

Процитировано

0

The Impacts of Artificial Intelligence on Business Innovation: A Comprehensive Review of Applications, Organizational Challenges, and Ethical Considerations DOI Creative Commons
Rubén Machucho-Cadena, Ortíz González

Systems, Год журнала: 2025, Номер 13(4), С. 264 - 264

Опубликована: Апрель 8, 2025

This review synthesizes current knowledge on the transformative impacts of artificial intelligence (AI)—computational systems capable performing tasks requiring human-like reasoning—on business innovation. It addresses potential AI to reshape strategies, operations, and value creation across various industries. Key themes include AI-driven model innovation, human–AI collaboration, ethical governance, operational efficiency, customer experience personalization, organizational capability development, adoption disparities. enables scalable product personalized service delivery, data-driven strategic decisions. Successful implementations hinge overcoming technical, cultural, barriers, with enhancing consumer trust competitiveness, positioning responsible innovation as a imperative. For practitioners, this offers evidence-based frameworks for aligning objectives. academics, it identifies research frontiers, including longitudinal impacts, context-specific roadmaps small- medium-sized enterprises, sustainable pathways. conceptualizes driver systemic transformation, continuous learning, foresight, ability competitive advantage.

Язык: Английский

Процитировано

0