Neeraj Dhiman
@gehu.ac.in
Professor
Graphic Era Hill University, Dehradun
RESEARCH INTERESTS
Numerical solution of PDE's by using Spline function in collocation and DQM.
Scopus Publications
Scholar Citations
Scholar h-index
Scholar i10-index
Scopus Publications
Neeraj Dhiman, Mohit Jamwal, and Ajay Kumar
Elsevier BV
Neeraj Dhiman and Ajay Kumar
SAGE Publications
The recent rise of consumer happiness research in marketing literature is noticeable. This article presents a systematic review of consumer happiness research from 1991 to 2020. From an initial pool of 600 articles on consumer happiness from 158 marketing journals in the ABS and ABDC lists, 71 articles were selected. The procedure was as follows: (1) search of articles, (2) quality assessment, (3) extraction of data from articles, and (4) thematic synthesis. The review concluded that the term “consumer happiness” does not have a standardized definition in the existing literature. However, happiness has been studied in a variety of contexts, and consumer research is one of these contexts. Further, the review concluded that consumer happiness research is largely segregated across three themes: marketing beyond satisfaction, marketing for health and mind, and digital felicity. Seven areas of future research on consumer happiness are also proposed. The authors present academic and managerial contributions with scholarly implications for the literature in the areas of consumer well-being, the role of marketing/interactive marketing, and the positive side of marketing. The authors also suggest that marketers not only seek consumers’ need fulfillment and satisfaction from their product or service consumption but also try to elicit hedonic associations with their products or services.
Neeraj Dhiman and Mohit Jamwal
Emerald
Purpose Despite the proliferation of service chatbots in the tourism industry, the question on its continuance intentions among customers has largely remain unanswered. Building on an integrated framework using the task–technology fit theory (TTF) and the expectation–confirmation model (ECM), the present study aims to settle this debate by investigating the factors triggering customers to continue to use chatbots in a travel planning context. Design/methodology/approach The research followed a quantitative approach in which a survey of 322 chatbot users was undertaken. The model was empirically validated using the structural equation modelling approach using AMOS. Findings The results reveal that users’ expectations are confirmed when they believe that the technological characteristics of chatbots satisfy their task-related characteristics. Simply, the results reveal a significant and direct effect of TTF on customers’ confirmation and perceived usefulness towards chatbots. Moreover, perceived usefulness and confirmation were found to positively impact customers’ satisfaction towards chatbots, in which the former exerts a relatively stronger impact. Not surprisingly, customers’ satisfaction with the artificial intelligence(AI)-based chatbots emerged as a predominant predictor of their continuance use. Practical implications The findings have various practical ramifications for developers who must train chatbot algorithms on massive data to increase their accuracy and to answer more exhaustive inquiries, thereby generating a task–technology fit. It is recommended that service providers give consumers hassle-free service and precise answers to their inquiries to guarantee their satisfaction. Originality/value The present work attempted to empirically construct and evaluate the combination of the TTF model and the ECM, which is unique in the AI-based chatbots available in a tourism context. This research presents an alternate method for understanding the continuance intentions concerning AI-based service chatbots.
Mousa J. Huntul, Mohammad Tamsir, and Neeraj Dhiman
Wiley
The aim of this work is to identify numerically, for the first time, the time‐dependent potential coefficient in a fourth‐order pseudo‐parabolic equation with nonlocal initial data, nonlocal boundary conditions, and the boundary data as overdetermination condition. This problem emerges significantly in the modeling of various phenomena in physics and engineering. From literature we already know that this inverse problem has a unique solution. However, the problem is still ill‐posed by being unstable to noise in the input data. For the numerical realization, we apply the quintic B‐spline (QB‐spline) collocation method for discretizing the pseudo‐parabolic problem and the Tikhonov regularization for finding a stable and accurate solution. The resulting nonlinear minimization problem is solved using the MATLAB subroutine lsqnonlin. Moreover, the von Neumann stability analysis is also discussed.
Mohit Jamwal, Honey Kanojia, and Neeraj Dhiman
Emerald
Purpose Wearable medical devices (WMDs) are improving people’s health and well-being in a noble way, as these aid in effective personal health monitoring, remote surveillance and overall illness management. Despite its wider applicability and usage, it is prevalent that users discontinue its usage, which presents an obstacle in the proliferation of such vital innovations among the masses. Therefore, relying on the expectation-confirmation model (ECM), this study aims to delve deeper to explain the factors that motivate users to continually use WMDs by incorporating novel variables, namely, health belief, health information accuracy and privacy protection. Design/methodology/approach The study proposes and tests an extended ECM perspective to predict the continuance intention (CI) of WMDs among users. By using structural equation modelling using SmartPLS, the authors tested the model on Indian people (n = 451) who had an erstwhile experience of using WMDs. Findings The study results show that confirmation of users’ expectations positively impacts their usefulness and satisfaction towards WMDs. Moreover, satisfaction towards WMDs is the strongest predictor of users’ CI, followed by perceived usefulness. Interestingly, personal factor such as health beliefs reveals a greater influence on perceived usefulness than technological factors like health information accuracy and privacy protection. Research limitations/implications The study findings demonstrate the significance of using the expectation-confirmation perspective in technology-based studies in general and WMDs, in particular. This study aids by offering an integrated model of WMD’s continued usage intention for the users, in addition to practical implications for marketers and policymakers. Originality/value A paucity of research exists when understanding the predictors of CI for WMDs. This study fills this gap and adds to behavioural literature by offering a noble viewpoint involving an extended ECM perspective.
Neeraj Dhiman, Roktim Sarmah, and Mohit Jamwal
SAGE Publications
Despite the growing market of green tea, the decline of its continued consumption by existing customers poses challenges to marketers. Against this issue, the present study draws on the ‘Theory of Planned behaviour’ and extends it by incorporating additional constructs to gain critical insights into the Indian context. Based on a sample of 567 consumers collected from snowball sampling, the study used SmartPLS to test the conceptual model using structural equation modelling. The results indicate that consumption values (hedonic and utilitarian) and health consciousness significantly shape consumers’ attitudes. Also, consumers’ attitude, perceived behavioural control, and social comparison significantly and positively impacts continuance intentions to consume green tea. Interestingly, subjective norms have an insignificant impact on consumer’s continuance intentions to consume green tea. The study offers vital implications to marketers regarding strategizing the marketing activities that would assist them in building the green tea brand and its continued use.
Sachin Kumar, Neeraj Dhiman, Honey Kanojia, and Richa Joshi
Emerald
Purpose This study aims to examine the factors determining the discontinuance intentions of millennials to use hotel booking apps. Design/methodology/approach A quantitative technique was followed to collect the data from the tourists, and partial least square structural equation modeling (PLS-SEM) technique was adopted to validate the proposed model. Findings Significant predictors of discontinuance intentions of hotel booking apps are usage barrier, values barrier, risk barrier, lack of facilitating conditions and digital self-efficacy. Practical implications The results of this study provide useful insights for tourism stakeholders and app developers to understand in real terms the setbacks that might be a hindrance to the users of such apps for hotel booking. Originality/value Despite the increasing focus of scholars toward understanding the determinants of technology adoption, the present study has extended innovation resistance theory with three novel constructs: social dependency, lack of facilitating conditions and digital self-efficacy.
Neeraj Dhiman, Sachin Kumar, and Tanya Nagpal
SAGE Publications
The current examination aims to measure the determinants of adoption intentions of employees in the context of human resource analytics. In this view, a technology acceptance model was applied with four additional constructs namely, social influence, job relevance, self-efficacy and perceived enjoyment. The responses were collected from 345 service sector employees. Keeping in view the proposed relationships, partial least square structural equation modelling (PLS-SEM) was employed. It is found that perceived usefulness is significantly influenced by social influence and job relevance. However, the perceived enjoyment did not find significant with perceived ease of use. The present study has implications for theory, managers and international human resource managers. The novel contribution of this study is that it integrates job relevance, self-efficacy, social influence and perceived enjoyment to measure the adoption intentions of HR analytics.
Ashish Kumar Rawat, Gagan Deep, Neeraj Dhiman, and Anand Chauhan
Inderscience Publishers
Mohammad Tamsir, M. J. Huntul, Neeraj Dhiman, and Sukhveer Singh
Springer Science and Business Media LLC
Robin Singh, Neeraj Dhiman, and Mohammad Tamsir
Walter de Gruyter GmbH
Abstract Mathematical model to account for non-homogeneity of plate material is designed, keeping in mind all the physical aspects, and analyzed by applying quintic spline technique for the first time. This method has been applied earlier for other geometry of plates which shows its utility. Accuracy and versatility of the technique are established by comparing with the well-known existing results. Effect of quadratic thickness variation, an exponential variation of non-homogeneity in the radial direction, and variation in density; for the three different outer edge conditions namely clamped, simply supported and free have been computed using MATLAB for the first three modes of vibration. For all the three edge conditions, normalized transverse displacements for a specific plate have been presented which shows the shiftness of nodal radii with the effect of taperness.
Megha Agarwal, Vinti Gupta, Abhinav Goel, Aditya Raghav, and Neeraj Dhiman
AIP Publishing
Vineet K. Srivastava, Mohammad Tamsir, Neeraj Dhiman, and Anand Chauhan
AIP Publishing
Sakshi Juyal, Ummer Bashir Khoja, Neeraj Dhiman, Brijesh Prasad, Monika Dumka, Sarita Chandra, and Fateh Singh Gill
AIP Publishing
Robin, Neeraj Dhiman, and Anand Chauhan
AIP Publishing
Megha Agarwal, Vinti Gupta, Abhinav Goel, and Neeraj Dhiman
AIP Publishing
Paras Gulati, Neeraj Dhiman, Teekam Singh, and Anand Chauhan
AIP Publishing
Seema Saini, Sunil Kumar, Kamal Krishan Singh, Vineet Bhatt, and Neeraj Dhiman
AIP Publishing
Anu Sayal, A. P. Singh, Anand Chauhan, and Neeraj Dhiman
AIP Publishing
Ashish Kumar Rawat, Neeraj Dhiman, and Anand Chauhan
AIP Publishing
Anu Sayal, A. P. Singh, Anand Chauhan, and Neeraj Dhiman
AIP Publishing
Ashish Kumar Rawat, Neeraj Dhiman, and Anand Chauhan
AIP Publishing
Neeraj Dhiman, Amit Chauhan, Mohammad Tamsir, and Anand Chauhan
AIP Publishing
Anand Chauhan, Shikha Bhandari, Garvita Singh, and Neeraj Dhiman
AIP Publishing
Manoj Kumar Sharma, Mukesh Kumar, Raksha Verma, Satya Jeet Singh, and Neeraj Dhiman
AIP Publishing