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1 – 3 of 3Suchismita Swain, Kamalakanta Muduli, Anil Kumar and Sunil Luthra
The goal of this research is to analyse the obstacles to the implementation of mobile health (mHealth) in India and to gain an understanding of the contextual inter-relationships…
Abstract
Purpose
The goal of this research is to analyse the obstacles to the implementation of mobile health (mHealth) in India and to gain an understanding of the contextual inter-relationships that exist amongst those obstacles.
Design/methodology/approach
Potential barriers and their interrelationships in their respective contexts have been uncovered. Using MICMAC analysis, the categorization of these barriers was done based on their degree of reliance and driving power (DP). Furthermore, an interpretive structural modeling (ISM) framework for the barriers to mHealth activities in India has been proposed.
Findings
The study explores a total of 15 factors that reduce the efficiency of mHealth adoption in India. The findings of the Matrix Cross-Reference Multiplication Applied to a Classification (MICMAC) investigation show that the economic situation of the government, concerns regarding the safety of intellectual technologies and privacy issues are the primary obstacles because of the significant driving power they have in mHealth applications.
Practical implications
Promoters of mHealth practices may be able to make better plans if they understand the social barriers and how they affect each other; this leads to easier adoption of these practices. The findings of this study might be helpful for governments of developing nations to produce standards relating to the deployment of mHealth; this will increase the efficiency with which it is adopted.
Originality/value
At this time, there is no comprehensive analysis of the factors that influence the adoption of mobile health care with social cognitive theory in developing nations like India. In addition, there is a lack of research in investigating how each of these elements affects the success of mHealth activities and how the others interact with them. Because developed nations learnt the value of mHealth practices during the recent pandemic, this study, by investigating the obstacles to the adoption of mHealth and their inter-relationships, makes an important addition to both theory and practice.
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Massoud Moslehpour, Aviral Kumar Tiwari and Sahand Ebrahimi Pourfaez
This study examines the effect of social media marketing on voting intention applying a combination of fuzzy logic methodology and a multidimensional panel data model.
Abstract
Purpose
This study examines the effect of social media marketing on voting intention applying a combination of fuzzy logic methodology and a multidimensional panel data model.
Design/methodology/approach
The study adopts a multidimensional panel data method that includes several fixed effects. The dependent variable is a multifaceted construct that measures the participants’ intention to vote. The independent variables are electronic word of mouth (eWOM), customisation (CUS), entertainment (ENT), interaction (INT), trendiness (TRD), candidate’s perceived image (CPI), religious beliefs (RB), gender and age. The grouping variables that signify fixed effects are employment status, level of education, mostly used social media and religion. First, the significance of said fixed effects was tested through an ANOVA process. Then, the main model was estimated, including the significant grouping variables as fixed effects.
Findings
Employment status and level of education were significant fixed effects. Also, eWOM, ENT, INT, CPI, RB and gender significantly affected participants’ voting intention.
Research limitations/implications
Being based on a questionnaire that asked participants about how they perceive different aspects of social media, the present study is limited to their perceptions. Therefore, further studies covering the voters’ behaviour in action could be efficient complements to the present study.
Practical implications
The findings could guide the political parties into prioritizing the aspects of social media in forming an effective campaign resulting in being elected.
Social implications
The findings have the potential to help the public in making better informed decisions when voting. Furthermore, the results of this study indicate applications for social media which are beyond leisure time fillers.
Originality/value
Fuzzy logic and multidimensional panel data estimates are this study’s novelty and originality. Structural equation modelling and crisp linguistic values have been used in previous studies on social media’s effect on voting intent. The former refines the data gathered from a questionnaire, and the latter considers the possibility of including different grouping factors to achieve a more efficient and less biased estimation.
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The immature research endeavor on refugee entrepreneurship has not adequately covered the success factors of refugees. The current work aims to address this gap through the theory…
Abstract
Purpose
The immature research endeavor on refugee entrepreneurship has not adequately covered the success factors of refugees. The current work aims to address this gap through the theory of planned behavior and the theory of procedural utility to identify the success factors of refugee entrepreneurs in the tourism and hospitality industry.
Design/methodology/approach
The current work is based on a qualitative approach drawing on data from 24 semistructured interviews with refugee entrepreneurs in Istanbul-Türkiye.
Findings
The thematic analysis of the data set revolved around three interrelated themes: personal, organizational and environmental factors, which offer a better understanding of the elements defining successful refugee entrepreneurs.
Practical implications
The paper also offers various practical implications and policy recommendations for the economic integration of refugee entrepreneurs in the public and private sectors.
Originality/value
The results enhance the understanding of successful refugee entrepreneurship in their new hosting environment, contributing to the existing research agenda by identifying the key themes of refugee entrepreneurs’ success factors.
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