Smart working and base technologies in corporate performance: New directions in emerging firms
Asia Pacific Management Review, ISSN: 1029-3132, Vol: 28, Issue: 3, Page: 358-369
2023
- 4Citations
- 88Captures
Metric Options: Counts1 Year3 YearSelecting the 1-year or 3-year option will change the metrics count to percentiles, illustrating how an article or review compares to other articles or reviews within the selected time period in the same journal. Selecting the 1-year option compares the metrics against other articles/reviews that were also published in the same calendar year. Selecting the 3-year option compares the metrics against other articles/reviews that were also published in the same calendar year plus the two years prior.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Article Description
This study analyzes the smart working (SW) relationships at large and medium-sized companies in Ecuador, Colombia, and Peru in terms of base technologies (BT) and corporate performance (CP). A total of 431 surveys were collected from workers at different hierarchical levels, and data processing was done using the Structural Equations Model (SEM) and Multigroup Analysis. We found that SW and BT positively influence CP, with BT having the greater influence, and economic activity moderated these relationships. Consequently, we show that manufacturing companies use SW the most, while service companies tend towards BT. No significant differences were found in the multigroup analysis by type of industry. However, there was a positive association between CP and SW only for commercialization companies, which means that these are increasingly making inroads into using SW. This paper acknowledges the contributions of previous studies, and is the first to provide researchers, practitioners, and academics with empirical evidence on SW, BT, and CP. It also broadens the understanding of Industry 4.0 (I4.0) technologies and their impact on the CP of companies in emerging economies.
Bibliographic Details
http://www.sciencedirect.com/science/article/pii/S1029313222000781; http://dx.doi.org/10.1016/j.apmrv.2022.12.008; http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=85145699534&origin=inward; https://linkinghub.elsevier.com/retrieve/pii/S1029313222000781; https://dx.doi.org/10.1016/j.apmrv.2022.12.008
Elsevier BV
Provide Feedback
Have ideas for a new metric? Would you like to see something else here?Let us know