Annika Steiber, Sverker Alänge, Swapan Ghosh and Dulce Goncalves
The digitization process has increased the pressure on large firms to transform. However, current frameworks on digital transformation are not well explaining what factors…
Abstract
Purpose
The digitization process has increased the pressure on large firms to transform. However, current frameworks on digital transformation are not well explaining what factors contribute to, or hinder, a firm's digital transformation. Innovation diffusion theories could complement existing frameworks, and for this reason, the purpose of this paper is to expand the existing body of knowledge on what contributes to, or hinders, an industrial firm's digital transformation by applying a validated framework based on innovation diffusion theories on two pioneer cases: General Electric and Siemens EHR/Health Services.
Design/methodology/approach
The framework used in this paper is based on several years' empirical studies and iterative literature reviews on innovation diffusion theories. Further, each use case is based on literature reviews and unique empirical data, collected by the authors of this paper as a result of taking active part of respective company's multi-years transformation.
Findings
Common drivers of, and clear inhibitors to the two firms' transformation, were identified. The innovation diffusion framework was found to work very well in identifying those factors.
Research limitations/implications
The implications are that researchers better can analyze/explain a digital transformation of a firm, and business managers can better plan or improve their firms' transformation processes.
Originality/value
The theoretical contributions of this paper are two: first, complement existing frameworks with a validated framework for innovation diffusion; second, provide an extension of our body of knowledge on factors that contributes to, or hinders, industrial firm's digital transformation.
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Ishita Afreen Ahmed, Shahfahad Shahfahad, Mirza Razi Imam Baig, Swapan Talukdar, Md Sarfaraz Asgher, Tariq Mahmood Usmani, Shakeel Ahmed and Atiqur Rahman
Deepor Beel is one of the Ramsar Site and a wetland of great biodiversity, situated in the south-western part of Guwahati, Assam. With urban development at its forefront city of…
Abstract
Purpose
Deepor Beel is one of the Ramsar Site and a wetland of great biodiversity, situated in the south-western part of Guwahati, Assam. With urban development at its forefront city of Guwahati, Deepor Beel is under constant threat. The study aims to calculate the lake water volume from the water surface area and the underwater terrain data using a triangulated irregular network (TIN) volume model.
Design/methodology/approach
The lake water surface boundaries for each year were combined with field-observed water level data to generate a description of the underwater terrain. Time series LANDSAT images of 2001, 2011 and 2019 were used to extract the modified normalized difference water index (MNDWI) in GIS domain.
Findings
The MNDWI was 0.462 in 2001 which reduced to 0.240 in 2019. This shows that the lake water storage capacity shrank in the last 2 decades. This leads to a major problem, i.e. the storage capacity of the lake has been declining gradually from 20.95 million m3 in 2001 to 16.73 million m3 in 2011 and further declined to 15.35 million m3 in 2019. The fast decline in lake water volume is a serious concern in the age of rapid urbanization of big cities like Guwahati.
Originality/value
None of the studies have been done previously to analyze the decline in the volume of Deepor Beel lake. Therefore, this study will provide useful insights in the water resource management and the conservation of Deepor Beel lake.
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Swapan Kumar Maity and Golam Ahammad
This research paper discusses how the tribal people in their everyday practices uphold the principles of green economy and sustainable development. The indigenous lifestyle may be…
Abstract
This research paper discusses how the tribal people in their everyday practices uphold the principles of green economy and sustainable development. The indigenous lifestyle may be far away from the modern amenities, but they are most close to nature. Unlike, in the name of modernism or post-modernism, they are very responsibly self-content and self-dependent. They follow the principle: contentment is the root of all happiness. Thereby without causing irreparable damage to the mother earth, they live a very sustainable life. They know how to devise out day-to-day necessities. They do not always depend on the industry products. Rather they innovate and produce many things through informal and indigenous manufacturing. This research study aims to critically analyze tribal community participation in informal manufacturing for sustainable development and a green economy, and identify areas of concern within this participation. This paper focused upon the particular examples from their household life which promotes sustainable development in its true spirit; and alongside, it follows the path of green economy. The method of this research work was readings in community-based exploration. Alongside indigenous people were interviewed, and their responses were analyzed critically. The researchers also adopted content analysis regarding the studies, statistics and research reports on the community participation of tribal people through informal manufacturing to earn their livelihood. This study highlights that tribal community life aligns well with sustainability and a green economy though some issues exist that can be addressed through strategic government policies and planning.
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I. Chattoraj, A.K. Bhattamishra, A. Joarder and D.K. Bhattacharya
The corrosion of boiler drums is intimately linked to the deterioration of the protective oxide film separating the steel substrate from the boiler fluid, which often contains…
Abstract
The corrosion of boiler drums is intimately linked to the deterioration of the protective oxide film separating the steel substrate from the boiler fluid, which often contains constituents conducive to corrosion. Various forms of corrosion occur in the boiler drums and such occurrences can be due to:
Showmitra Kumar Sarkar, Swapan Talukdar, Atiqur Rahman, Shahfahad and Sujit Kumar Roy
The present study aims to construct ensemble machine learning (EML) algorithms for groundwater potentiality mapping (GPM) in the Teesta River basin of Bangladesh, including random…
Abstract
Purpose
The present study aims to construct ensemble machine learning (EML) algorithms for groundwater potentiality mapping (GPM) in the Teesta River basin of Bangladesh, including random forest (RF) and random subspace (RSS).
Design/methodology/approach
The RF and RSS models have been implemented for integrating 14 selected groundwater condition parametres with groundwater inventories for generating GPMs. The GPM were then validated using the empirical and bionormal receiver operating characteristics (ROC) curve.
Findings
The very high (831–1200 km2) and high groundwater potential areas (521–680 km2) were predicted using EML algorithms. The RSS (AUC-0.892) model outperformed RF model based on ROC's area under curve (AUC).
Originality/value
Two new EML models have been constructed for GPM. These findings will aid in proposing sustainable water resource management plans.