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Do public opinion and political sentiments expressed on Twitter during election campaign have a meaning and message? Are they inferential, that is, can they be used to estimate the political mood prevailing among the masses? Can they also be used to reliably predict the election outcome? To answer these in the Indian context, the 2014 general election was chosen.

Tweets posted on the leading parties during the voting and crucial campaign periods were mined and manual sentiment analysis was performed on them.

A strong and positive correlation was observed between the political sentiments expressed on Twitter and election results. Further, the Time Periods during which the tweets were mined were found to have a moderating effect on this relationship.

This study showed that the month preceding the voting period was the best to predict the vote share with Twitter data – with 83.9% accuracy.

Twitter has become an important public communication tool in India, and as the study results reinstate, it is an ideal research tool to gauge public opinion.

The purpose of this paper is to identify the antecedents of continued usage intentions in the connected devices ecosystem in health care by analyzing the users' and physicians' expectations in a new ecosystem where one prefers to connect digitally rather than physically.

This is a unique study in which data was collected from 242 doctors and 215 end-users to gauge the expectations from the connected devices in health care. Further, these responses were hypothesised using UTAUT-2 and ECT theories to analyze general users’ and professional users’ or doctors’ expectations for continued usage in connected devices ecosystem in the health-care ecosystem.

Performance expectancy, social influence, facilitating conditions and price value emerged as significant predictors of satisfaction in both user groups. But habit and hedonic motivation reflected an insignificant impact on user satisfaction. Surprisingly, effort expectancy emerged as a significant factor for end-user satisfaction, and this became insignificant for professional user satisfaction. Satisfaction was positively related to continued usage for both user groups, and app quality has a positive impact on all the predictors.

To the best of the authors’ knowledge, this is the first comparative study to understand the factors which influence consumer behavior leading to a holistic model and can be imbibed for creating a better customer experience in an era where we are more comfortable connecting digitally rather than physically.

This study has used the Unified Theory of Acceptance and Use of Technology-2 model and expectation confirmation theory to analyze the key factors influencing the intentions for continued usage of devices in the Internet of Medical Devices setup.

The evolution of e-health technologies presents promising alternatives for health-care excellence. Despite the benefits arising from mobile e-health (m-health) and wearables technologies, the literature stands many contradictories signs regarding how users accept and engage in using these technologies. This study aims to synthesize the estimations about m-health user acceptance technologies.

A meta-analytic structural equation modeling was carried out using the 778 relationships estimated by 100 previous research. The estimations follow the relations and constructs proposed in the UTAUT2 technological acceptance model.

The results indicate the performance expectancy, effort expectancy, social influence and habit constructs are most important for predicting the behavioral intention of use of m-health technologies. The Latin American users of e-health technologies are still underestimated in the literature.

The study presents a guide to understanding the acceptance process of m-health technologies and delivers a general orientation for developing new m-health devices considering their acceptance by users.

The purpose of this paper is to propose an effective numerical approach for solving the natural convection in a two-dimensional square enclosure by using the single relaxation time-Bhatnagar, Gross and Krook (SRT-BGK) model (D2Q9) and lattice Boltzmann method (LBM).

Navier–Stroke equation is replaced by lattice Boltzmann method, and the numerical approach was simulated using LBM. LBM is a linear equation so, it reduces the computational time. The governing equations are solved using the SRT-BGK model. To achieve better numerical stability and accuracy, the momentum and energy equations are solved using two-dimensional nine-directional (D2Q9) lattice arrangement.

The results are presented at different convection mechanism with constant Prandtl number = 0.71, and the result is validated with reported literature. Numerical investigation is performed and accurate results are obtained; the range of Pr = 0.71, various Rayleigh number, phase change, periodicity parameter and amplitude ratio with three different blockage ratios. The present study is performed using LBM.

To extend this work, the influence of natural convection, various selections of Prandtl number and Rayleigh number, periodicity and the effect of aspect ratio with mounted number of blockages could be included.

This research article will be useful for the study of fluid flow and heat transfer in hot and cold fluid interaction over the solid object. Like gear hardening with various sizes of gear blocks, material processing with hot and cold fluid interactions inside the furnace wall, solar panels high and low density fluid variation, indoor hot and cold fluid thermal environments, inside nuclear reactors heat and heavy water fluid interaction, cooling of electronic equipments and various chemical engineering applications.

This paper will be useful for studying fluid flow and heat transfer within a square enclosure, and it gives practical information in engineering and heat transfer applications.

The present work is the first to investigate using LBM for selected parameters to apply a natural convection with imposed sinusoidal wave for different convection mechanisms.

Halal cosmetic products are considered as innovation and revolution in the cosmetic industry as they offer high-quality products that follow the halal compliance and meet the strict scientific guidelines. However, halal cosmetic brands are still facing challenges in their positioning and are unable to identify how to encourage customers to buy. Although there is an increasing awareness towards the use of halal cosmetics among the Generation Y consumers, the factors that might stimulus their purchase intention of halal cosmetics is still ambiguous. Besides, there is a lack of well-established study on the role of religious belief as a predictor to Generation Y consumers’ purchase intention. To address the gap, this study aims to propose a model to reveal the distinctive factors that influence the purchase intention of halal cosmetics among Generation Y in Malaysia.

The population for this study consisted of Generation Y consumers. A closed-ended questionnaire was used for data collection from a sample of 262 respondents. The proposed model was tested using partial least squares structural equation modelling.

This study discovered that ingredient safety followed by the halal logo is very important predictor for the purchase intention of halal cosmetic products among Generation Y consumers. Unexpectedly, this study finds that religious belief plays the least important role in purchase intention.

This study fills the gap in the theory of planned behaviour (TPB) by improving its limitation through considering the unbiased determinant of behaviour i.e. religious belief.

This study recommends cosmetics companies to position their products based on the importance of safety ingredient with halal logo as unique attributes of the product. It also suggests marketers to understand the right promotion strategy to be used in targeting the right market segment.

TPB is only based on cognitive processing and it ignores one’s needs/motivations prior to engaging in certain behaviour. Hence, this study looks into religious belief as a means of motivation and one of the important determinants of TPB.

The importance of smartphones in enhancing students learning, research and development is well-established in many published studies. Nevertheless, due to numerous challenges, Nigerian students are yet to reap from the benefits of smartphones in terms of accessing vital information for learning and development. Therefore, this study aims to develop a framework that will enhance Nigerian students’ ability to use smartphones for learning.

The SERVQUAL Theory Framework is adapted to actualize the research aim. Moreover, a qualitative (in-depth interview) research approach was used to interview 60 students from 3 public universities in Nigeria. Purposive sampling technique was used to select the interviewees, and the interview data were analysed using thematic content analysis.

The findings identified the critical constraints that deter Nigerian students from reaping the full potential of smartphones for learning. The constraints are categorized into three groups which include telecommunication companies’ hiccups, such as high cost of internet, poor network services and coverage; government obstacles, such as high tax policies, insufficient electricity supply and lack of basic infrastructure; and university barriers, such as unavailability of Wi-Fi connection for students, lack of equipped university libraries and poor management.

Thus, a holistic Framework for Enhancing Students Smartphones Learning Ability was established to provide fundamental recommendations to the Nigerian Government, telecommunication companies in Nigeria and Nigerian universities to tackle the pressing issues hindering Nigerian students from using their smartphones for learning. This will enhance the smartphone learning experience of Nigerian students.

The purpose of this paper is to study thermal (natural) convection in nine different containers involving the same area (area= 1 sq. unit) and identical heat input at the bottom wall (isothermal/sinusoidal heating). Containers are categorized into three classes based on geometric configurations [Class 1 (square, tilted square and parallelogram), Class 2 (trapezoidal type 1, trapezoidal type 2 and triangle) and Class 3 (convex, concave and triangle with curved hypotenuse)].

The governing equations are solved by using the Galerkin finite element method for various processing fluids (Pr = 0.025 and 155) and Rayleigh numbers (10³ ≤ Ra ≤ 10⁵) involving nine different containers. Finite element-based heat flow visualization via heatlines has been adopted to study heat distribution at various sections. Average Nusselt number at the bottom wall ( Nub¯) and spatially average temperature (θ^) have also been calculated based on finite element basis functions.

Based on enhanced heating criteria (higher Nub¯ and higher θ^), the containers are preferred as follows, Class 1: square and parallelogram, Class 2: trapezoidal type 1 and trapezoidal type 2 and Class 3: convex (higher θ^) and concave (higher Nub¯).

The comparison of heat flow distributions and isotherms in nine containers gives a clear perspective for choosing appropriate containers at various process parameters (Pr and Ra). The results for current work may be useful to obtain enhancement of the thermal processing rate in various process industries.

Heatlines provide a complete understanding of heat flow path and heat distribution within nine containers. Various cold zones and thermal mixing zones have been highlighted and these zones are found to be altered with various shapes of containers. The importance of containers with curved walls for enhanced thermal processing rate is clearly established.