Integrated model for understanding Indian physicians’ internet usage pattern: An empirical approach

Patwardhan, Avadhut Arun; Pandey, Neeraj; Dhume, Sudheer M.

doi:10.1080/20479700.2016.1270385

Cited by 13 publications

(5 citation statements)

References 55 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The service requests are being made by individuals on Facebook, Twitter, YouTube, LinkedIn, Quora and blogs related to healthcare, hospitality, education, grocery, food, financial services, etc. (Greene, Choudhry et al, 2011;Gu & Ye, 2014;Patwardhan et al, 2017;Savulescu & Mihalcea, 2013;Smith et al, 2007). The consumer reviews regarding service design in social networks can also be used for NSD (Sangiorgi & Eun, 2014).…”

Section: Literature Reviewmentioning

confidence: 99%

Idea Generation for New Service Development (NSD): Harnessing the Power of Social Media Platforms

Pandeya

Rupnawar

2022

Multidiscip. bus. rev (Impr.)

Self Cite

View full text Add to dashboard Cite

Customers frequently use social media (SM) platforms to share and seek information about services. Could the content of customer SM interactions be used for new service development (NSD)? This study analyses: (a) Whether social media input is relevant for NSD? (b) What are the preferred social media platforms for NSD? (c) How social media input can be integrated with the current NSD organisational process? The results highlight the importance of social media input in NSD. Facebook leads the social media pack for relevant NSD input. The SMART roadmap for leveraging the power of social media for NSD has also been suggested.

show abstract

Section: Literature Reviewmentioning

confidence: 99%

Idea Generation for New Service Development (NSD): Harnessing the Power of Social Media Platforms

Pandeya

Rupnawar

2022

Multidiscip. bus. rev (Impr.)

Self Cite

View full text Add to dashboard Cite

show abstract

“…The service adoption challenges include the barriers both within the organization and among the users (Chen et al, 2020; Pandey et al, 2018; Prinja et al, 2012). The lack of resources like manpower, technology infusion and monetary allocation affect service adoption in healthcare (Patwardhan et al, 2017; Zobair et al, 2020). The age also impacts service adoption in technology-based healthcare delivery systems (Hage et al, 2013).…”

Section: Theoretical Backgroundmentioning

confidence: 99%

Ayushman Bharat: Service Adoption Challenges in Universal Healthcare System

Pandey

Jha

Rai

2021

South Asian Journal of Business and Management Cases

Self Cite

View full text Add to dashboard Cite

The Ayushman Bharat, the universal healthcare scheme in India, faced service adoption challenges after its launch in 2018. It was an enigma for the top management in Ayushman Bharat regarding slower service adoption of a free mass healthcare coverage scheme by the target population. The case focuses on the service adoption challenges from patient and physician perspectives while implementing a universal healthcare system. It provides insights to policymakers, physicians, service operations managers, and healthcare administrators regarding managing the universal healthcare system’s implementation challenges in a developing country context. Research questions/Objective: This study aims to understand service adoption challenges in a universal healthcare system setting. The study explores the following research questions: How is service adoption theory applied in a universal health coverage program? What should be the integrated marketing communication plan to improve the awareness about a universal healthcare program? Links to theory: The study uses service adoption theory. It analyzes service adoption challenges for the universal healthcare system in India called Ayushman Bharat. It also uses literature on the Unified Theory of Acceptance and Use of Technology (UTAUT) model. Phenomenon studied: The case study uses pan India patient and physician data to explore service adoption issues in Ayushman Bharat - a universal healthcare scheme in India. Case context: The primary data collected through the field (hospital) visits and interaction with patients and physicians of Ayushman Bharat form the basis of this case study. Findings: The study emphasizes on performance expectancy, ease in availing of the service, positive social influence, and facilitating conditions for service delivery of Ayushman Bharat. The Ayushman Bharat scheme’s performance expectancy means how being a healthy individual would contribute to better performance at the workplace. The effort expectancy is the level of ease an eligible Ayushman Bharat scheme can avail the service at the empanelled hospital. The social acceptance of the Ayushman Bharat scheme by friends, peers, and people in the vicinity would create a positive social influence. The facilitating conditions in the Ayushman Bharat scheme are the government’s capacity to provide organizational and technological infrastructure to support this universal healthcare program. Discussions: The use of service adoption theory and the UTAUT model to enhance the adoption of the universal healthcare system in India have been discussed in the case study.

show abstract

“…The 15-item scale for four dependent factors was validated with the help of CFA. The measurement model was evaluated on the basis of factor loading, standardized residuals, goodness-of-fit indices, and modification indices (Patwardhan et al, 2017). For the dependent factors, modification indices ranged from 4.428 to 14.31.…”

Section: Confirmatory Factor Analysis (Cfa)mentioning

confidence: 99%

Digital Coupon Redemption: Conceptualization, Scale Development and Validation

Nayal

Pandey

2020

AJIS

Self Cite

View full text Add to dashboard Cite

The purpose of this study is to develop a reliable and valid scale for measuring digital coupon redemption. The scale development process began with the grounded theory approach for item generation. This was followed by the development of a conceptual framework, item generation, initial reliability analysis, exploratory factor analysis and confirmatory factor analysis (CFA) based on primary data collected from 609 participants. For validating the scale, the CFA was repeated using data from 411 unique participants. Results from two independent surveys supported the proposed scale in terms of construct, convergent and discriminant validity. Survey study resulted in a 45-item digital coupon redemption scale. It also covers digital aspects such as intention to search, attitude toward internet searching, perceived risk, perceived convenience and personal innovativeness which were not covered in earlier promotion scales. This scale would assist marketers to maximize digital coupon redemption during their promotion campaigns. This is the first attempt to provide a comprehensive scale to measure digital coupon redemption in the marketing literature.

show abstract

Integrated model for understanding Indian physicians’ internet usage pattern: An empirical approach

Cited by 13 publications

References 55 publications

Idea Generation for New Service Development (NSD): Harnessing the Power of Social Media Platforms

Idea Generation for New Service Development (NSD): Harnessing the Power of Social Media Platforms

Ayushman Bharat: Service Adoption Challenges in Universal Healthcare System

Digital Coupon Redemption: Conceptualization, Scale Development and Validation

Contact Info

Product

Resources

About