Relational Capability: A Prospective Study at Brazilian Technological-Base Enterprises in Biotech Industry

Almeida, João Marcos Silva de; Costa, Priscila Rezende da; Pires, Adriana de Castro; Pigola, Angélica

doi:10.26668/businessreview/2022.v7i1.233

Cited by 3 publications

(2 citation statements)

References 41 publications

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“…It was concluded that digital SMEs are SMEs that use the entrepreneurial spirit to obtain profits and simultaneously to give meaning to work in implementing ideas to produce digital innovations. Digital innovation in this study was measured through: a) Technology infrastructure analyzes the creation of technology-based SMEs that contribute to job creation and updating the economic system (Muñoz et al, 2022); b) Digital lending access to obtain financing using digital (Björkegren & Grissen, 2018); and c) Digital payment is a transaction of business results using digital (Almeida et. al 2021).…”

Section: Introductionmentioning

confidence: 99%

The Impact of Digital Innovation on Economic Growth

Sirait¹,

Rosalina²,

Sari³

2023

J. Professional Business Review

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Purpose: This study aimed to examine the impact of technology infrastructure, digital lending, and digital payments on real per capita income, public health, and education levels. Theoretical framework: This study is built on the relationship between technology infrastructure, digital lending, and digital payments and their impact on economic and social outcomes. The study draws on theories of technology adoption and diffusion, financial inclusion, and human development. Design/methodology/approach: This study used quantitative research to examine how technology infrastructure, digital lending, and digital payments affect income, health, and education. The sample was data from 2015-2020, cleaned and analyzed using regression analysis in E-views. Findings: The findings revealed that technological infrastructure has a significant positive effect on real per capita income and public health, but a negative and insignificant effect on the education level. Digital lending was insignificantly positive for real per capita income and negatively insignificant for public health and education levels. In contrast, digital payments had a positive and significant impact on the health and education levels but a negative and insignificant effect on real per capita income. Research, Practical & Social implications: The study suggests that governments should prioritize the development of information technology infrastructure for SMEs to increase real per capita income and public health. Furthermore, relevant laws and regulations should be improved to ensure the development of digital payments, credit investigation systems, and standardized digital payment transactions to maintain financial security and stimulate consumer demand, ultimately promoting sustainable economic development. Originality/value: The originality of this study lies in its investigation of the impact of both technology infrastructure and digital finance on income, health, and education. Additionally, the study highlights the importance of addressing regulatory issues to ensure the safe and effective use of digital finance.

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Section: Introductionmentioning

confidence: 99%

The Impact of Digital Innovation on Economic Growth

Sirait¹,

Rosalina²,

Sari³

2023

J. Professional Business Review

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“…In this study, the writer proves that GHRM is one of the techniques to foster and facilitate certain attitudes and behaviors; thus, enterprises should implement successful "green" HRM policies context for achieving their green concert objectives. De Almeida, et al, (2022) looks into the effects of HRM on employee well-being, and subsequent firm results.…”

Section: Introductionmentioning

confidence: 99%

Design and Analysis of Human Resources Using Artificial Intelligence

Syed,

Subbalakshmi,

Singh

et al. 2023

J. of Law and Sust. Develop.

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Objective: Artificial intelligence makes it simpler to decide things and to rectify the flow of organizational procedures and actions, making it easier to examine the work happiness of staff members and enhancing management with only a range of tasks, work styles, and surroundings. To ensure that the firm hires and retains talented personnel in light of the rise in international business operations and the number of companies expanding into export firms, people management is required. Organizations have struggled to find qualified experts to perform the necessary training and assignments for a very long time. This study's objective is to develop an automated system for measuring job satisfaction but use an improved neural network methodology. Method: The data analysis is performed based on a variety of variables, including the number of workers, the total amount of employees by industry, the total number of employees by income range (lower, moderate, higher), and the total number of workers by the department as well as salary range. Results: The most important characteristics, such as the degree of comfort, the most recent review, the number of events, the typical number of hours worked each month, and staff members with a little more than ten years of service, are identified. As a method of improvement, the Genetic Algorithm is used to increase the quality of characteristics. Conclusions: Artificial Neural Networks are used to estimate the satisfaction levels of employees by feeding them the best qualities as input data. Analysis of the suggested work's enhancement in accuracy, recall, as well as F-measure has just been done in that order.

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Tourists’ Perception and Influence Factors in Virtual Tourism Using Bayesian Sentimental Analysis Model in Vietnam Based on e WOM for Sustainable Development

Kondamudi¹,

Hoang²,

Tučková³

et al. 2023

J. of Law and Sust. Develop.

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Objective: The advancement of Internet technology brought up the tourism industry towards new development and opportunities. With application of the Internet technology tourism industry comprises a vast range of virtual communities such as Trip Advisor, Agoda, Travelocity and so on. Existing research concentrated on evaluating the factors influencing virtual communities’ behaviour with limited evaluation of tourist perception. This paper focused on examining the tourists' perception of a virtual tour through the sentimental analysis model based on eWOM for sustainable development. Method: The developed model comprises the group average Bayesian network with the computation of the polarity of the tourist perception. A Bayesian network is a data-driven method involved in estimating dependence among the variable with probabilistic computation. Results: The analysis is based on data collected from sample population in Vietnam with consideration of the 11 variables. Participation intensity, social identity, functional value, emotional value, sharing, interaction, and user satisfaction are among eleven primary variables that have been chosen. Conclusions: The analysis of the results expressed that the user satisfaction level is based on the user's experience and functional value. Additionally, the analysis stated that social value comprises the intermediary role in virtual tourism. This research adds to research methodologies of user engagement methods as well as serves as a reference for theoretical research and management practise in the virtual tourist community.

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Relational Capability: A Prospective Study at Brazilian Technological-Base Enterprises in Biotech Industry

Cited by 3 publications

References 41 publications

The Impact of Digital Innovation on Economic Growth

The Impact of Digital Innovation on Economic Growth

Design and Analysis of Human Resources Using Artificial Intelligence

Tourists’ Perception and Influence Factors in Virtual Tourism Using Bayesian Sentimental Analysis Model in Vietnam Based on e WOM for Sustainable Development

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