Hare Krishna Chaudhary, Malini Singh and Pratik Ghosh
This research aims to examine the influence of green technology on guest safety in star-rated hotels. It aims to explore the mediating role of responsible tourism practices in…
Abstract
Purpose
This research aims to examine the influence of green technology on guest safety in star-rated hotels. It aims to explore the mediating role of responsible tourism practices in this relationship and their subsequent effect on guest satisfaction.
Design/methodology/approach
The hypothesis was tested using a cross-sectional study design. Green technology, guest satisfaction, responsible tourism practices and guest safety were evaluated using structural equation modelling (SEM) on 322 responses, analysed with AMOS 24 software.
Findings
Green technology positively influences responsible tourism practices and guest satisfaction, enhancing guest safety perceptions. Responsible tourism practices mediate the relationship between green technology adoption and guest safety. These findings suggest that there is a need of sustainable initiatives and guest-centric approaches in promoting guest safety and satisfaction in hospitality settings.
Practical implications
This study suggests integrating green technology enhances responsible tourism, guest satisfaction and safety perceptions. Prioritizing responsible tourism and guest satisfaction directly improves safety perceptions. Star-rated hotels can foster loyalty by aligning with sustainability and guest-centric principles for safer, enjoyable environments.
Originality/value
Although many studies have examined the relationship between green technology and guest safety, few have explored the connections between green technology adoption, responsible tourism practices, guest satisfaction and guest safety, particularly by investigating the mediating roles of responsible tourism practices and guest satisfaction in star-rated hotels.
Details
Keywords
Pratik Ghosh, Deepika Jhamb and Rahul Dhiman
The aim of the paper is to measure the service quality, satisfaction, service value and behavioral intentions of Gen Z in leading global Quick Service Restaurants (QSRs) in India…
Abstract
Purpose
The aim of the paper is to measure the service quality, satisfaction, service value and behavioral intentions of Gen Z in leading global Quick Service Restaurants (QSRs) in India by integrating QUICKSERV into an established model of consumer behavior.
Design/methodology/approach
A cross-sectional study design was used for the hypothesis testing. Service quality perceptions with satisfaction, service value and behavioral intentions were measured using structural equation modeling.
Findings
The outcomes suggest a direct effect of the service quality of QSRs on the satisfaction, service value and behavioral intentions of Gen Z customers. Satisfaction further influenced customers' behavioral intentions. However, customer satisfaction and behavioral intentions were not directly influenced by service value. Finally, the association between service quality and behavioral intentions was mediated by satisfaction.
Practical implications
Managers should encourage a pleasant attitude, good grooming and friendliness in QSR employees as Gen Z highly values these aspects. At the same time, QSRs should focus to elevate the service value of Gen Z customers by lowering their sacrifice perceptions and fostering initiatives.
Originality/value
Although many studies have considered millennials along with Gen Z to analyze the relationship between service quality and behavioral intentions in different service settings, few researchers have considered the impact of Gen Z consumer features in service quality research separately. The findings of the study will help both practitioners of different QSR brands and facilitators in hospitality academia to better understand the nuances and uniqueness of Gen Z consumer behavior in the QSRs.
Details
Keywords
Pratik Ghosh, Sonali Upadhyay, Vimal Srivastava, Rahul Dhiman and Larry Yu
This study measured influencer characteristics, consumer emotions, self-construal, and behavioural intentions of Gen Z consumers for selecting fast-food restaurants in India. A…
Abstract
Purpose
This study measured influencer characteristics, consumer emotions, self-construal, and behavioural intentions of Gen Z consumers for selecting fast-food restaurants in India. A consumer behaviour model was conceptualized based on established theories.
Design/methodology/approach
A cross-sectional design was employed for hypothesis testing. Influencer characteristic perceptions, consumer emotions, self-construal, and behavioural intentions were measured for Gen Z consumers in Tier 1 cities in India using structural equation modelling.
Findings
Influencer characteristics significantly influenced behavioural intentions, consumer emotions, and self-construal in Gen Z consumers. Self-construal was also a significant predictor of behavioural intentions. Consumer emotions had a negative effect on behavioural intentions. Self-construal was a mediator between influencer characteristics and behavioural intentions and between consumer emotions and behavioural intentions. However, consumer emotions did not mediate the relationship between influencer characteristics and behavioural intentions.
Practical implications
Marketers can leverage these insights to design influencer campaigns that resonate with the emotions and self-construal of Gen Z consumers. Microinfluencers with characteristics that align with the target demographic’s emotions and self-perception can be strategically chosen.
Originality/value
Only a limited number of studies have investigated the influence of social media marketing on consumer behaviour within the fast-food industry, specifically with Gen Z consumers. This study sheds new light on the behavioural intention of Gen Z consumers predicted through influencer characteristics, consumer emotions, and self-construal through a conceptual model. The results support choosing microinfluencers and investing in them judiciously to promote fast-food businesses.
Details
Keywords
Pratik Rai, Sasadhar Bera and Pritee Ray
The study aims to develop an integrated quantitative approach and suggest a framework to assess the impact of a technological intervention on the internal process dimension of the…
Abstract
Purpose
The study aims to develop an integrated quantitative approach and suggest a framework to assess the impact of a technological intervention on the internal process dimension of the vaccine supply chain (VSC) system for multiple administered regions.
Design/methodology/approach
An evaluation index system is developed by selecting suitable performance indicators (PIs) that define the objectives of a VSC. Then multicriteria decision-making (MCDM) methods are applied to obtain pre and post-intervention relative ranks for the regions and performance scores of the objectives. A bilateral data envelopment analysis (DEA) compares significant efficiency differences between improvement and deterioration groups.
Findings
This study demonstrates that technological intervention improves the internal process dimension of a VSC for the regions under consideration. The empirical study delivers two groups of regions showing improvement or deterioration in relative performance ranking due to the technological intervention. However, the efficiency-based bilateral comparison may reveal an insignificant difference between the two groups.
Practical implications
Decision-makers associated with VSC will find the suggested model helpful in assessing the impact of technological intervention. They can easily identify specific objectives of VSC's internal process dimension, whether a particular region has observed an improvement or deterioration in its relative performance and maximize the outcome by focusing on the areas of concern for a specific region.
Originality/value
This study is the first to provide a quantitative approach that empirically determines relative performance improvement or deterioration of different regions for a set of identified VSC objectives in the context of the Indian states.
Details
Keywords
Vincent K. Chong, Gary S. Monroe, Isabel Z. Wang and Feida (Frank) Zhang
This study examines the effect of employees' perceptions of political connections on performance measurement systems (PMS) design choice and firm performance. In addition, this…
Abstract
This study examines the effect of employees' perceptions of political connections on performance measurement systems (PMS) design choice and firm performance. In addition, this study explores the moderating effect of social networking, a very common and widely used factor by domestic and foreign multinational firms operating in China, and its joint effect with political connections or PMS design choice on firm performance. We collected survey responses from a sample of 110 managers from manufacturing firms in China. Our results reveal that highly politically connected managers use nonfinancial measures, leading to improved firm performance. Our results suggest that social networking interacts significantly with political connections, and nonfinancial and financial measures on firm performance. The theoretical and practical implications of our findings are discussed.