El artículo tiene como objetivo evaluar el nivel de desarrollo de la capacidad de absorción realizada (RACAP) en las Pyme colombianas. Se parte de una muestra de 363 Pyme colombianas (Dane,2012), se usa una revisión de literatura con apoyo del análisis de contenido y un modelo de regresión lineal, que permiten mostrar la existencia de una correlación lineal positiva entre la adquisición y asimilación del conocimiento externo en las organizaciones objeto de estudio,. Palabras clave: Capacidades de absorción, capacidades de absorción potencial, medición de las capacidades de absorción ABSTRACT:

Measurement of potential absorption capacity in Colombia's innovative companies [Medición de la capacidad de absorción potencial en las empresas innovadoras de Colombia]

Tesis de investigacion presentada como requisito para optar al titulo de: Magister en Administracion MSc. -- Linea de Investigacion: Gestion del Conocimiento y Capacidades Dinamicas.

La gestión del conocimiento y su influencia en las capacidades dinámicas: Contrastación empírica en Empresas Colombianas Intensivas en uso de conocimiento

The purpose of this paper is to investigate the elements of user manual quality and its influences on perceived product quality and customer satisfaction in an integrated model structure.,Survey method was used to evaluate user manual quality and its influences on perceived product quality and customer satisfaction. Electrical appliances consumers were chosen in our sample. Factor analysis and structural equation modeling were performed to introduce, test and validate the user manual quality dimensions and also test the hypotheses.,The findings show a positive significant relation between user manual quality and perceived product quality, and this result demonstrates that consumers perceive user manual quality as a part of their quality evaluation related to the product. The results point out that user manual quality is essential for both low- and high-value products regarding customer satisfaction. The findings also reveal that perceived product quality mediates the influence of user manual quality on customer satisfaction.,This study reveals that providing a high-quality user manual should be an essential element of product management and development strategies. The findings also highlight the need for companies that particularly sell complex products with long product life cycles must invest in providing high-quality user manuals. This will enhance perceived product quality and in turn customer satisfaction.,Although some prior studies address user manuals in the relevant literature, these studies did not examine the elements of user manual quality and their impact on consumers’ perceptions of the product quality and their satisfaction evaluations in a research model. This paper attempts to fill this gap in the literature. In addition, the authors found two major dimensions of user manual quality as content-related elements and representational/format-related elements of the user manual.

The effect of user manual quality on customer satisfaction: the mediating effect of perceived product quality

Good match matters: Knowledge co-creation in international joint ventures

This study characterizes the scenario of emerging countries (ECs) – “Brazil, Russia, India, China and South Africa (BRICS)” concerning digital transformation and its association with the Industry 4.0 (I4.0) value creation system. For such, the authors developed a discussion paper based on content analysis of 857 journals in business administration, describing in a proposed framework the institutionalization “BRICS” policies that nurture global competitiveness among ECs and development needs to catching up.,Data from 16 official documents of government, ministries and economic studies were analyzed by applying Atlas TI contrasting theory of 875 papers to develop and discuss the framework. Content analysis showed research gaps, technological needs and governance to enable firms to sustain competitive advantages applying I4.0 value creation system. Results converged into a microfoundation of the agile journey of a digital transformation to global organizations in between BRICS.,This paper's central question is to understand: How can organizations achieve a sustainable I4.0 value creation system adopting digital transformation in “BRICS”? The reduced transaction costs driven by platforms and ecosystems orchestration and the related or integrated multiple level sources of knowledge could speed benefits of domestic firms and subsidiaries of global organizations. Research gaps could be understood by a new combination of resources and knowledge, exploiting technologies and, also, the discussion of social economic relevance of I4.0.,Because of the complexity and the novelty of the framework, further studies could be discussed by its elements. New structures and paths for alternative strategic factors may be proposed in the future with the inclusion of new relationships in the adoption of platform business models and ecosystems. Future studies should consider digital knowledge-based assets attained to economic activities across national boundaries; data analytics or data-driven technology adoption and their effects on global attractiveness.,The paper implicates in evaluating whether dynamic capabilities subsidize performance propitiating the catching up with a focus on the I4.0 system and digital transformation management journey. The proposed framework demonstrates the benefits of digital transformation by enabling strategic capabilities, making efforts to reduce a lack of research paths concerning the policy attributes that define the platform use strategy from an architectural standpoint and its benefits.,The particularities of turning either an I4.0 global organization or a digital organization operate in various environments, allowing access to the activities' digital context. Social implications concerning digital resources as strategic accelerators are determined by the BRICS peculiarities, such as social behavior, consumerism or communication pattern, leadership and workforce skills. Finally, political aspects and interference in the economy are deployed in society what must be considered.,This paper proposes a conceptual framework to better understand whether the heterogeneity of resources could explain I4.0 and digital configurations, while new platforms have driven features in global industrial environments and ecosystems. The seizing opportunities in these countries and sense-making use of platforms and orchestration of ecosystems are found as the critical topics being the main value of this important discussion.

Digital transformation by enabling strategic capabilities in the context of “BRICS”

Based on the daily stock data of 49 industry classification data in Kenneth R. French database, this paper adopts the Fama-French five-factor model and adopts multiple linear regression method to empirically study the changes of stock return impact factors of 49 us industries before and after COVID-19.  The results show that the marginal effects of market risk factors and investment style factors on stock returns weaken, while the marginal effects of market value factors and value factors increase.  The influence of profit factor on stock return is not significant.  Post-pandemic, the market favors small-cap stocks, value stocks, and conservative portfolios.  Specific to the industry level, the small market value and value stock portfolio of the hotel and catering industry bring greater excess returns;  The rare metal industry of high market value, growth stock portfolio excess return is greater;  Textile industry value stocks, investment style aggressive portfolio to get better returns.  Based on this, when the "black Swan" event comes, we should pay attention to grasp the switch of investment style in order to achieve better returns.  At the same time, specific to each industry investment strategy should be different.

An empirical study of COVID-19's stock returns to the whole industry in the US stock market

With the continuous development and improvement of smart grid systems, related services such as the power market transaction management system power system will also increase in the future, resulting in a large amount of data analysis, processing, and management, and high storage costs. Database solutions, the decentralization and transparency of blockchain technology, and the concept of the energy Internet express their demands. This paper proposes a new blockchain-based power transaction storage system to improve service capabilities in a large-scale system.

A Power Market Transaction Management System Based on Blockchain

The application of collaborative filtering algorithm based on time behavior in the electricity market electricity sales package recommendation system is to recommend electricity sales packages suitable for users. This method has been implemented in MATLAB and c++ programming languages. It is a multi-objective optimization problem consisting of two objectives: profit maximization and cost minimization. The objective function maximizes profits by selecting the most appropriate combination of power supply, demand forecasting and price forecasting, and minimizes costs by calculating the total revenue generated by each customer and the total cost generated in the forecasting process. As an important power commodity, power sales packaging is the carrier. In order to gain an advantage in the market competition, the power selling company improves the quality service level to customers from all aspects and improves customer satisfaction. One of their methods is to recommend power supply sales packaging. Aiming at the problems of data scarcity and cold start in collaborative filtering algorithm, a collaborative filtering algorithm based on time behavior is proposed. The algorithm first solves the historical data of the super user, analyzes the secret behavior preference information of the super user, and connects the activation of the super user to the sales kit. The results show that the improved algorithm effectively solves the data shortage and cold start problems of the synergy algorithm.

Application of collaborative filtering algorithm based on temporal behavior in power market power sales package recommendation system

The installed capacity of renewable energy generation in the new power system is increasing, and the demand for frequency regulation in the power system is increasing. In recent years, the potential of controllable loads represented by electric vehicles and electric heating loads to participate in grid frequency regulation has received wide attention, but how to organize a large number of dispersed and small capacity users to participate in the ancillary service market is still in the exploration stage. To this end, this study proposes a scheme for controllable load clusters to participate in the market through aggregators, and establishes a joint clearing model for the electric energy and ancillary service market based on the Stackelberg game, which enables controllable load clusters to participate in the electricity market in a distributed manner. In this example, the participation of flexible loads significantly reduces the AGC capacity provided by the generator set and reduces the total power generation cost.

Research on the joint clearing model of electricity energy market and AGC market based on Stackelberg game

In order to support large-scale and complex blockchain application scenarios such as distributed power trading platforms, we propose a cloud-based blockchain management service middle platform Baas platform based on cross-chain communication to improve the resource utilization of the underlying blockchain platform through a standardized and reusable blockchain service system. By supporting the construction of "one master, many sides" consortium blockchain architecture, it meets the demand for cross-chain business data interaction, reduces the technical threshold for business applications to access the blockchain platform, improves the development efficiency and enhances the intelligence and automation of operation and maintenance.

A baas platform for cross-chain cloud management service system of consortium blockchain

Handle everyday research tasks with reliable, citation-backed results

Your personal Research Agent to handle research tasks with citation-backed results

Popular Tasks used by Researchers

How can I help with your research?

Meet SciSpace

Get more enhanced response by uploading the PDFs you want me to reference.

No relevant PDFs in your library

SciSpace is the AI research assistant for academics. Run systematic literature reviews on 280M+ papers, and write papers with cited sources. Trusted by 1M+ students, PhDs & researchers.

SciSpace | AI for Research

Analyze PDFs

Code & Manuscripts

Funding & Grants

Literature & Patents

Medical & Clinical Data

Systematic Review

Visualize & Present

Web & Data

Build a Google Scholar-like website for your research.

Build a website

Create charts and images for your research

Create a Chart

Write a paper for submission to a journal

Draft a manuscript

Patent Search

Design eye-catching scientific posters in minutes.

Scientific Poster Generation

Systematic Literature Review

One task is running at the moment. Your messages will be shown right after.

Drag and drop or click here to browse

Loved by <highlight>1 million+</highlight> researchers

Extract a list of specific topics and their sources from unstructured text

Topics

Compare and analyze relevant papers that matches with your search

Papers

Get insights from PDFs and bookmarked papers from your library

My library

Recent searches

Try searching for:

Catch AI-generated content in scholarly and non-scholarly content

{ai} Detector

Ai Writer

Get PDF Summaries, highlighted text explanations 

Chat with PDF

Effortlessly create in-text citations and bibliographies in APA and 2,500 other formats

Citation generator

Get explanations, summaries, and answers on academic papers

Ease up your research workflow with {scispace}'s cohort of exciting AI tools

Elevate your academic writing skills and convey your ideas the way you want

Paraphraser

Explore our range of reading and writing tools

Your file is being prepared and should be ready in a few minutes. If it's a large file, it might take a bit longer. You can close this window, and we'll email you the file when it's done.

You have reached a maximum limit of <strong>{limit}</strong> columns in the table. Remove at least <strong>1</strong> column to add or create another one.

Ran Chen

Author Tools

Chat about Author