Technological efforts are currently being used across a broad array of industries. Through the combination of consumer choice and matching principle, the goal of this paper is to investigate the prospective implications of artificial intelligence systems on businesses’ outcomes. From an entrepreneurship standpoint, the research revealed that artificial intelligence systems can help with better decision-making. What impact does the introduction of AI-based decision-making technologies have on organizational policymaking? The quirks of human and AI-based policymaking are identified in this research based on five important contextual factors: precision of the choice search area, contribution to the innovation of the policymaking process and result, volume of the replacement collection, policymaking pace, and generalizability. We create a novel paradigm comparative analysis of conventional and automation judgment along these criteria, demonstrating how both judgment modalities can be used to improve organizational judgment efficiency. Furthermore, the research shows that, by involving internal stakeholders, they can manage the correlation among AI technologies and improve decision for businessmen. Furthermore, the research shows that customer preferences and industry norms can moderate the link between AI systems and superior entrepreneurial judgment. The goal of this work is to conduct a thorough literature analysis examining the confluence of AI and marketing philosophy, as well as construct a theoretical model that incorporates concerns based on established studies in the areas. This research shows that, in a setting with artificial intelligence systems, customer expectation, industry standards, and participative management, entrepreneurial strategic decisions are enhanced. This research provides entrepreneurs with technology means for enhancing decision-making, illustrating the limitless possibilities given by AI systems. A conceptual approach is also formed, which discusses the four factors of profit maximization: relationship of AI tools and IT with corporate objectives; AI, organizational learning, and decision-making methodology; and AI, service development, and value. This study proposes a way to exploit this innovative innovation without destroying society. We show real-world examples of each of these frameworks, indicate circumstances in which they are likely to improve decision-making performance in organizations, and provide actionable implications into their constraints. These observations have a wide variety of implications for establishing new management methods and practices from both academic and conceptual viewpoints.
Environmental pollution has become the matter of concern all over the world with the increase in urbanization, transport, industrialization and several other factors. The researcher has therefore designed this study to investigate the impact of urbanization, research and development R&D expenditure, infrastructure development and real income on the emission of carbon dioxide in Asian countries. The data collection process involved six Asian countries from 1997 and ending 2019. The panel data estimation and analysis tools and techniques were applied on the collected data and the results were obtained. The results of regression estimation suggest that as per MG estimator, all the variables have significant and positive impact on CO 2 emission but infrastructure development has insignificant impact. In case of FMOLS, again all the variables have significant and positive impact on CO 2 emission but infrastructure development has insignificant impact. However, in case of DOLS, all the variables have shown significant impact on CO 2 emission. In the last, DK estimator indicates that urbanization, real income and population density have significant and positive impact on CO 2 emission but R&D expenditure and infrastructure development has insignificant impact. In this way, the impacts of all independent and control variables on CO 2 emission were estimated.
El propósito del estudio fue extender el modelo SERVQUAL adicionando la actitud del cliente a las tres principales dimensiones como componentes de la medición de la calidad del servicio e investigar la influencia en la satisfacción y la lealtad de los clientes en el sector microfinanciero, específicamente de las cajas municipales de ahorro y crédito que poseen agencias en la Región Ancash, Se utilizó la técnica de la encuesta donde se recopilaron datos de 391 clientes a través del cuestionario mediante el muestreo aleatorio simple. Por tratarse de una metodología de modelos de ecuaciones estructurales (SEM) para evaluar el modelo teórico se empleó la técnica de análisis de Mínimo Cuadrado Parcial (PLS) mediante el uso del software Smart PLS 3.3.0. El hallazgo reveló que el modelo extendido tiene un impacto significativo en la satisfacción y la lealtad de los clientes en las cajas municipales de ahorro y crédito. Los coeficientes de determinación fueron; satisfacción del cliente (r2=0.637) y lealtad del cliente (r2=0.510), con un error cuadrático medio de aproximación (SRMR) de 0.06 que hace relevante el modelo confirmatorio. Además, los resultados de este estudio serán útiles para que los gerentes y los encargados de formular políticas mejoren la calidad del servicio en las cajas municipales. Se recomienda extender este estudio en otros países en vías de desarrollo, ya que se contextualizó en la realidad del sistema financiero peruano.
The main objective of a startup is to discover a suitable plan of action that can create value for growth in the economy. This research provides evidence and allied vision engrossed on three perspectives: business coaching, lean start-up approach, and innovative work behavior of women's context in solar energy entrepreneurial action. Moreover, the study is based on a quantitative method, and results indicated that it has a significant impact on the lean start-up approach on innovative work behavior and has a significant mediating effect on business coaching. This study helps researchers and practitioners cope with the entrepreneurial incubation programs for women entrepreneurs in the lean start-up approach. Moreover, this also contributes to the deep understanding of women's exploring, building, and implementing business ideas. Additionally, the study argues that guidance and directions are important for innovative entrepreneurial actions.
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