Pankaj Kumar, Parveen Kumar, Ramesh Kumar Garg, Manoj Panwar and Vaibhav Aggarwal
The present study examines the foremost determinants of teachers' perception, i.e. teachers' satisfaction, attitude and continuance intention towards adopting e-learning in Higher…
Abstract
Purpose
The present study examines the foremost determinants of teachers' perception, i.e. teachers' satisfaction, attitude and continuance intention towards adopting e-learning in Higher Educational Institutions (HEIs) in India during the COVID-19 pandemic.
Design/methodology/approach
Data were collected through online Google forms from 1,111 (1,060 considered useable) teachers of different HEIs in India using the purposive sampling technique and was analyzed by PLS-SEM (performing partial least squares-structural equation modeling).
Findings
Results of this study show that perceived usefulness (PU) followed by institutional support, perceived ease of use (PEOU), and teacher-student interaction positively and significantly impact teachers' satisfaction. Results also revealed that perceived usefulness (PU), institutional support, and satisfaction significantly affect teachers' attitude. Finally and most notably, teachers' continuance intention towards using online teaching in HEIs is most significantly influenced by teachers' satisfaction than perceived usefulness (PU), perceived ease of use (PEOU), and attitude.
Originality/value
The authors anticipate that this study brings a significant and valuable input to the existing literature by providing inclusive research in a more harmonizing understanding of the teachers' satisfaction, attitude, and continuance intention with online teaching-learning practices in diverse educational institutions.
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Sujeet Deshpande and Manoj Hudnurkar
According to extant Supply Chain Risk Management (SCRM) literature, manufacturing firms must align their choice of SC bridging or buffering strategies with their operating…
Abstract
Purpose
According to extant Supply Chain Risk Management (SCRM) literature, manufacturing firms must align their choice of SC bridging or buffering strategies with their operating environment to achieve high plant performance and minimize SC disruption impacts. However, very few empirical studies have examined the relative performance of these strategies in dynamic industry environments. This study aims to address this research gap. This study also seeks to supplement the limited empirical research that has examined the empirical relationships between a firm’s Supply Base Complexity (SBC), the likelihood of SC disruptions, and plant performance.
Design/methodology/approach
This study uses data from a cross-sectional survey of 202 manufacturing firms in India. The data is analyzed, and the study hypotheses are tested using PLS path modeling and SPSS PROCESS Macro.
Findings
The study shows that increased SBC leads to an increased frequency of SC disruptions with a negative impact on plant performance. The study also finds that the firm’s implementation of SC bridging or buffering strategies effectively moderates this performance impact. However, the study results do not support the hypothesis that industry dynamism moderates the relative effectiveness of SC bridging or buffering strategies in mitigating the negative impact of SC disruptions.
Originality/value
The study adds to the limited empirical research examining the SC disruption risk associated with SBC and the resulting performance impact. It addresses a gap in extant research by evaluating the efficacy of SC bridging and buffering strategies in mitigating this performance impact in dynamic industry environments.
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Manoj Arora, Harpreet Singh and Sanjay Gupta
In the era of digitalization and technology, tremendous changes have taken place in the taxi industry worldwide. The traditional taxi service has transformed into the latest…
Abstract
Purpose
In the era of digitalization and technology, tremendous changes have taken place in the taxi industry worldwide. The traditional taxi service has transformed into the latest innovative technology-based e-hailing service. There are innumerable factors that drive the user adoption of e-hailing apps. This study aims to primarily concentrate on identifying, analyzing and ranking these factors which have an impact on the user intention toward using e-hailing apps.
Design/methodology/approach
The e-hailing app users in the state of Punjab and Chandigarh are the target population for the study. A fuzzy analytical hierarchy process technique has been applied to analyze and codify the determinants that influence the user intention of adopting e-hailing apps. The primary factors that have been considered for the study are social influence, perceived usefulness, facilitating conditions, perceived ease of use, self-efficacy, perceived risk, compatibility and trust.
Findings
The study revealed that “Perceived Usefulness” is the factor that influences user intention to use e-hailing apps the most, while “Perceived Risk” the least. The sub-criteria codified in the top priority was as follows: “Overall, I find the e-hailing app useful in booking a taxi (C15)”; “I do not need some people to use e-hailing apps (C52); “I believe e-hailing app is compatible with existing technology (C61).” The sub-criterion “E-hailing app service provider keeps its promise (C72)” was demonstrated to have the least impact on the user intention of adopting e-hailing apps.
Research limitations/implications
The study has been confined to only eight factors selected from the extended technological acceptance model framework and some related technology acceptance theories. Some more other factors may have an impact on user adoption of e-hailing apps, which need to be added further. Also, the scope of the study should be enhanced by expanding the geographical area beyond the selected region.
Practical implications
The findings of the study enable the e-hailing service providers and marketers to understand the users’ intention in a better way, to make improvements in e-hailing apps and formulate strategies accordingly.
Originality/value
The previous literature provides the base to the present study for identifying the factors affecting user behavioral intention toward e-hailing apps and information technology. The findings and results of the present research make value addition to the existing knowledge base.
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Mrudula Manoj, Anjitha Ram Das, Arun Chandran and Santanu Mandal
Recent studies have classified ecotourism behaviour into specific components like site-specific ecological, pro-environmental and environmental learning behaviour. However, the…
Abstract
Purpose
Recent studies have classified ecotourism behaviour into specific components like site-specific ecological, pro-environmental and environmental learning behaviour. However, the role of materialism in generating these types of behaviour is not clearly understood. Materialism might also affect tourists' environmental engagement. Hence, this study embarks on exploring these research gaps.
Design/methodology/approach
All the constructs were operationalized as first-order factors based on extant scales of measurement. After suitable pretesting, the study was able to collect 122 valid responses. The responses were analysed using partial least squares (PLS).
Findings
Results suggest that environmental engagement and environmental learning behaviour have prominent roles as enablers. Furthermore, the importance of materialism is not statistically significant and requires further investigation.
Research limitations/implications
While the study showed that environmental engagement is a crucial precursor for the development of different types of ecotourism behaviour, it also has limitations. First, the study tested the validity of the proposed associations based on the perceptual responses of 122 tourists who are interested in participating in ecotourism. However, this may lack generalizability. Future research can take a common set of tourists or a specific destination and execute a longitudinal analysis to better understand the way ecotourism behaviour has evolved over time at a destination. This would in turn help the local people and tour planners to develop tourism packages and events.
Practical implications
As tourists are interested in environmental learning, they are eventually expected to take care of the destination environment in terms of protecting it in every form. This may include reporting of any environment damaging activity, for example, activities that can enhance environmental pollution, etc.
Social implications
Materialism hinders the environmental conservation spree of tourists, when they indulge more in shopping and leisure trips. Hence, for destination planners it is very important to hold complementary events in addition to the main event to highlight the dire need of involving in ecotourism activities.
Originality/value
The study is of significant contribution for researchers and practitioners as it develops the antecedents and consequences of environmental learning behaviour. Furthermore, this study has implications for managers working for sustainability of tourism destinations.
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Sunita Guru, Anamika Sinha and Pradeep Kautish
The study aims to facilitate the medical tourists visiting emerging countries for various kinds of ailments by ranking the possible destinations to avail medical treatments.
Abstract
Purpose
The study aims to facilitate the medical tourists visiting emerging countries for various kinds of ailments by ranking the possible destinations to avail medical treatments.
Design/methodology/approach
A Fuzzy Analytical Hierarchical Process (FAHP) with a mixed-method approach is applied to analyze data collected from patients and substantiate it with medical tour operators in India to gain managerial insights on the choice-making patterns of the patients.
Findings
India is a preferred emerging market location due to the low cost and high medical staff quality. India offers value for money, whereas Singapore and Thailand are preferred destinations for quality and technology.
Research limitations/implications
The study will facilitate the emerging markets' governments, hospitals and medical tourists to understand the importance of various determinants responsible for availing medical treatment outside their country.
Practical implications
The study recommends that cost and quality care are the patients' prime focus; government policies must provide clear guidelines on what the hospitals and country environment can offer and accordingly align the marketing strategies.
Originality/value
This study is the first attempt to rank various factors affecting medical tourism using the FAHP approach.