The study assesses the potential for an intervention of m-commerce in the fisher women retailer community of coastal Karnataka region of India. The study was conducted using primary data with a sample size of 383 fisher women across 26 markets in Udupi, Uttara Kannada and Dakshina Kannada districts of Karnataka, who are engaged in fishing practices. This study analyses m-commerce adoption and digital literacy among fisher woman retailers. Study identifies an insight into the degree of acceptance, zeal to learn and willingness to experiment technology change and shift in the trade practices with a digital platform. The result, using binary logistic regression also identifies variation of significant variable and behaviour of the population across 3 districts. The present study provides the basis for further research to build m-commerce model for the fish retailers in coastal Karnataka..

Abstract. It is well recognized that mechanical surface enhancement methods can significantly improve the characteristics of highly-stressed metallic components. Deep cold rolling is one of such technique which is particularly attractive since it is possible to generate, near the surface, deep compressive residual stresses and work hardened layers while retaining a relatively smooth surface finish. In this paper, the effect of turn-assisted deep cold rolling on AISI 4140 steel is examined, with emphasis on the residual stress state. Based on the X-ray diffraction measurements, it is found that turn-assisted deep cold rolling can be quite effective in retarding the initiation and initial propagation of fatigue cracks in AISI 4140 steel.

Diffusion of Information and Communication Technology (ICT) in every aspect of life has made the applications of e-commerce a fundamental part of marketing. Hence using e-commerce to market Geographical Indication (GI) based crops is quite essential for the survival of the growers associated with such crops. Due to this significance, it is critical to assess consumers acceptance of e-commerce to purchase geographical indication-based crop. The study uses Technology Acceptance Model (TAM) to validate consumers’ willingness of using e-commerce to purchase GI crops with specific reference to Udupi jasmine. To analyse the relationships between TAM variables, Structural Equation Modelling (SEM) technique was adopted. The analysis suggests that behavioural intentions of consumers will influence them into actual e-commerce use. Behavioural intention exerts a significant positive influence on the actual e-commerce use suggests that, if provided with an e-commerce application to purchase the product online, consumers are likely to accept and use it.

The dataset describes the survey data on current adoption practices, readiness and willingness amongst woman fish vendors (WFVs) towards the adoption of m-commerce in Coastal Karnataka region, India. The coastal Karnataka belt houses three districts viz. Udupi, Uttara Kannada and Dakshina Kannada. Primary data is retrieved from 383 WFVs who serve 26 markets in the districts mentioned above. The dataset comprises of demographic details of the respondents like age, education, per-day sales etc. and specific responses to the items measuring their current adoption practices, as well as readiness and willingness to use m-commerce in their day to day business activities. Availability of this data will help researchers, policy makers and social entrepreneurs to determine optimal strategies towards efficient adoption of m-commerce models amongst small vendors in similar emerging markets thereby increasing their income levels.

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