Binary Logistics Regression Analysis to Assess Employability of Engineering Graduates in IT Sector

Kalbande, Vijay N.; Handa, Chandrahas C.; Bankar, Amit W.

doi:10.1007/978-981-13-6148-7_65

Cited by 1 publication

(2 citation statements)

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“…Moreover, the R 2 values indicate the percentage of variation in the dependent variable that can be explained by the independent variables. More specifically, Nagelkerke R Square depicts the proportion of variance in digital transformation implementation is explained by this model (Kalbande et al, 2018). In this model R 2 is 0.52 (Table IV), which means that 52% of variation in digital transformation implementation is explained by the variables of model.…”

Section: Discussionmentioning

confidence: 92%

“…presents the significance for each variable to the predictive ability of the model. The independent variables have significant influence on the dependent variable when p-value is less than 0.05 (Kalbande et al, 2018). Hence, there are three statistically significant variables, LI (Lean Implementation) variable, Business orientation variable and IoT (Internet of Things) variable.…”

Section: Discussionmentioning

confidence: 99%

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The Determinants of Digital Transformation in Lean Production Systems: A Survey

Bitsanis

Ponis²

2022

EJBMR

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Due to continuously changing conditions (Covid-19 pandemic, energy crisis) the companies search for ways to change their business model and structure in order to remain competitive by utilizing lean manufacturing philosophy and industry 4.0 technologies. The digitalization process is inextricably linked with the introduction of industry 4.0 technologies. In the industry 4.0 era, the systems collect information and data from multiple sensors and adjust the function of the production process without human intervention offering flexibility and automation. Digitalization entails the development of digital organization units with smart devices enabling human-to-machine communication emerging as a key factor. The aim of this paper is to present the framework and the successful strategy for the digital transition of industries combining lean manufacturing principles. To achieve this target, a survey was applied to identify the trends of businesses and investigate the relationship with lean production techniques. Additionally, a logistic regression model is developed based on the survey data. The present paper presents the crucial factors, the most significant obstacles to digital transformation and the most widespread industry 4.0 technology.

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Section: Discussionmentioning

confidence: 92%

Section: Discussionmentioning

confidence: 99%