Search results
1 – 3 of 3Khalil Ahmad, Bhuvanesh Sharma, Ritesh Khatwani, Mahima Mishra and Pradip Kumar Mitra
This paper aims to explore the impact of metaverse technology on the hospitality and tourism industry. The introduction of metaverse technology has revolutionised the way the…
Abstract
Purpose
This paper aims to explore the impact of metaverse technology on the hospitality and tourism industry. The introduction of metaverse technology has revolutionised the way the hospitality and tourism industry works. In the present study, the authors have investigated the role of social media marketing in the adoption of metaverse technology in hotel booking in India.
Design/methodology/approach
An extended technology acceptance model was proposed for an empirical investigation in the Indian context. Sample of 344 respondents was collected across India using a purposive sampling technique for the purpose of data analysis. The structural model analysis is used to analyse the data collected from the respondents using the SmartPLS software to check the structural and the measurement fit of the model.
Findings
The adoption intentions were largely influenced by the utility, attitude (ATT) and ease of use of the technology, and social media marketing plays a major role in influencing the perceived usefulness (PU) and ease of use (PEU). The study finds positive ATTs of the customers for using metaverse technology for booking their hotels. PU and PEU significantly influence the ATT of the consumer indicating the traveller’s perception of the usefulness and ease of metaverse technology influence their ATTs towards adoption.
Originality/value
Influence of metaverse technology is at a nascent stage in India specifically for hotel booking and tourism. The authors have used discriminant validity by using the criteria for both the square root of the average variance extracted and heterotrait–monotrait ratio tests, and the results suggest that the constructs in the research are distinct from other.
Details
Keywords
Aparna Bahar Kulkarni, Ritesh Khatwani and Mahima Mishra
This study aims to identify the critical barriers to women’s leadership in Indian corporate sector using the interpretive structural modeling (ISM) approach.
Abstract
Purpose
This study aims to identify the critical barriers to women’s leadership in Indian corporate sector using the interpretive structural modeling (ISM) approach.
Design/methodology/approach
Through data obtained from extant literature and the expert opinion of women seeking higher managerial positions in the Indian corporate sector, this study identified total 18 barriers to women’s leadership. Thereafter, this study used the Delphi technique to identify the most critical barriers and ISM to understand the causal relationship among them, and then ranked them based on relevance.
Findings
Of the 13 critical barriers identified, corporate policies, conscious organizational bias and family responsibilities had the highest driving power. By contrast, inadequate career opportunities and the lack of risk-taking ability and assertiveness had the highest dependence power. Unconscious organizational bias and occupational segregation were other prominent barriers.
Research limitations/implications
This study establishes the interrelationships between women’s leadership barriers. It provides a well-defined model which helps to get theoretical insight considering barriers for women leaders in their career progression in the Indian context. Based on the ISM model, these findings can help academicians and researchers gain deep insights into the barriers to women’s leadership in the Indian context, as no studies have been found in the literature concerning the given subject.
Practical implications
Based on the findings, corporations and policymakers can design inclusive leadership policies to support women as they climb the corporate ladder and to enhance their contribution to organizational success.
Originality/value
To the best of the authors’ knowledge, this is the first study to identify barriers to women’s leadership in India using ISM analysis.
Details
Keywords
Mahima Mishra, Akriti Chaubey, Ritesh Khatwani and Kiran Nair
This paper aims to identify and model barriers to internationalising automotive small and medium-sized enterprises (SMEs) from emerging market perspectives using the interpretive…
Abstract
Purpose
This paper aims to identify and model barriers to internationalising automotive small and medium-sized enterprises (SMEs) from emerging market perspectives using the interpretive structural modelling (ISM) approach.
Design/methodology/approach
In this paper, 13 critical barriers are identified through an exhaustive literature review and the Delphi method. The ISM tool is then used to establish interrelationships among the identified barriers to expose and discuss the key barriers having high-driving power.
Findings
It was found that barriers such as trade agreements and export documentation, exchange rates and material inadequacies were relatively less challenging than the other barriers. At the next level, there are barriers such as supply chain, high international quality standards, legal barriers, skilled labour marketing capacity and information and logistics and infrastructure. Finally, barriers such as government policies, entrepreneurial orientation and technology and finance availability posed the most significant challenge for the internationalisation of Indian SMEs. These barriers warrants immediate and considerable attention.
Research limitations/implications
This study developed a model based on experts’ opinions, which may be biased and influence the final model as proposed in this study. This research will help the owners/managers of the SMEs and policymakers identify and understand the significance and relevance of automotive sector barriers while strategizing.
Originality/value
To the best of the authors’ knowledge, this is the first time an attempt has been made to apply ISM methodology to explore the interdependencies among the critical barriers of internationalisation for SMEs of Indian automotive industries. This study will guide the owner–managers management practices to overcome ineffective practices and move towards successful internationalisation.
Details