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The discussion about using Chat Generative Pre-Trained Transformer (ChatGPT) by teachers is making notable progress on a daily basis. This research examines the teachers' adoption intention to adopt ChatGPT by focusing on perceived trust and perceived risk. The study seeks to elucidate the impact of these two factors on teachers' adoption intentions towards ChatGPT.

This study was exclusively conducted at private higher educational institutions in Gujarat, India. Data collection was done through a cross-sectional survey design. The proposed conceptual model was examined with the help of structural equation modelling (SEM).

The outcome of the study confirms the significant contribution of perceived usefulness, perceived ease of use, perceived trust, perceived intelligence, perceived anthropomorphism and social influence to teachers' intention to adopt ChatGPT. The findings of the study show that perceived risk exerts a negative moderating effect between perceived usefulness and adoption intention as well as between perceived trust and adoption intention.

This study fills the knowledge gap about teachers’ adoption of ChatGPT at private higher education institutions, thus contributing to the existing literature. Specifically, the distinctive role of key variables like perceived risk and perceived trust helps increase the existing body of knowledge.

Several practical implications are presented on the basis of the conclusions from the outcome of the study that would help increase teachers’ adoption intention of ChatGPT in higher education institutions. These implications include recommendations to promote the integration of ChatGPT in educational set-ups to help teachers leverage its potential benefits into their teaching practices.

This research study goes deeper into the subject than previous research, which mainly focused on the possible advantages and downsides of ChatGPT applications in the field of education. It makes a substantial contribution to our understanding of ChatGPT adoption among teachers for educational purposes by investigating through the lens of perceived risk and perceived trust. The study offers fresh understandings that were previously ignored and brings new perspectives to the body of literature.

E-learning has become an increasingly prevalent learning approach in higher educational institutions due to the fast growth of internet technologies in India. This paper aims to mainly focus on evaluating the effectiveness of the e-learning experience from students’ perceptive.

“Survey” method has been used to collect the data with the help of a structured questionnaire from the students who have registered on COURSERA (www.coursera.org/) website for e-learning. The questionnaire consisted of two sections e-learning system and e-learning effectiveness. E-learning system included items related to system quality, information quality and service quality. E-learning effectiveness dimension included user satisfaction and net benefits. The items in this section were measured on a five-point Likert scale ranging from strongly disagrees to strongly agree. The data collected have been analyzed using the SPSS version 17.0 and AMOS version 21.0.

Results show that system quality and service quality contribute more in e-learning system compared to information quality. Students perception may be that information available on the website may not be very useful as it’s a one-way mode of communication. The researcher also found that the three dimensions (system quality, service quality and information quality) of e-learning system contributes to user satisfaction and net benefits. Students are satisfied with e-learning websites and intent to continue to use it in future as well. They also found it beneficial as it helps them in career growth and making them employable.

This paper proposed a second-order model of e-learning system and a second-order model e-learning effectiveness. E-learning system has been defined by three first-order constructs: a system quality, service quality and information quality. E-learning effectiveness has been defined by two first-order constructs: a user satisfaction and net benefits. The predictability of the proposed model is high to explain the impact of e-learning system on e-learning effectiveness.

This research work aims to study the continuous usage intention of students for digital library systems in higher learning institutions (HLI). Additionally, keeping in mind the lack of focus on academic involvement of students in existing studies, this research work attempts to examine the moderating role of academic involvement in making up the continuous usage intention for digital library systems among students at HLI.

Cross-sectional survey design is used in this study. Target population is students pursuing postgraduate studies and using digital library systems at private universities in the state of Uttarakhand, India. The Stratified random sampling method is used wherein each private university forms one stratum.

The results suggest that the students' continuous usage intention for digital library systems is significantly influenced by dimensions of digital library system quality, mediated by user satisfaction. Further, the level of academic involvement of students exerts moderating impact between dimensions of digital library system quality and user satisfaction; however, it d oes not exist between user satisfaction and their continuous usage intention.

This study contributes to the literature on academic involvement of students by highlighting its importance in the process of continuous usage intention. It also proposes a holistic conceptual framework for continuous usage intention for digital library systems among students and moderating impact of academic involvement. Being cross-sectional survey-based research, this study has certain limitations. Since responses were obtained at a single point in time, variation in respondents' behaviour could not be captured.

The findings of the study can be helpful to the HLI, academic librarians, teachers, digital library systems service provider companies and government regulatory authorities. HLI need to put more effort into procuring subscriptions to reputed publications of e-books, e-research papers, e-magazines, e-reports, etc. for making digital library systems more beneficial for the students. Academic librarians need to be effortful towards building students' satisfaction through constantly upgrading software and systems and active interaction with students. Digital library systems service provider companies can also collaborate to customize their digital resources for different types of academic programs. The government can partnership with private companies for providing digital library systems in HLI.

This research work is the first of its kind in terms of studying the role of academic involvement of students for purpose of evaluating continuous usage intention for digital library systems among students studying in Indian HLI.

This study integrates the providers' perspective as well as the patient's perspective in developing and validating a scale to measure hospital service quality in multispecialty hospitals.

An exploratory sequential mixed-method approach was used in this study. The strategies used included a thematic literature review, semi-structured interviews, modified Delphi and confirmatory factor analysis.

The reliability coefficient of 41 item scale was 0.963 with each attribute, that is, pivotal, core and peripheral, having a Cronbach's alpha of 0.907, 0.91 and 0.891, with scale content validity (S-CVI Ave) of 0.9151. The composite reliability scores of all constructs were greater than 0.7, with an Average Variance Explained (AVE) of all items greater than 0.5.

The instrument can be used to measure the difference between what service providers believe customers expect and customers’ actual needs and expectations. The scale can be used to measure the difference between what is delivered (as perceived by the provider) and what customers perceive they have received (because they are unable to accurately evaluate service quality). The dyadic approach of administering this questionnaire in measuring hospital service quality will lead to the identification of a knowledge gap and a perception gap in delivering hospital service quality.

Winner of the 2014 EFMD competition for best case on Indian Management Issues and Opportunities.

After a highly successful third round of funding in 2012, Gaurav Jain, founder of quick service restaurant chain Mast Kalandar, was looking to expand. In addition to opening new stores in other cities, Jain was also hoping to increase the profitability of his existing stores in Bangalore, Hyderabad, Chennai, and Pune. He needed to fully understand the financials of his current operations and identify the key drivers of success at the stores, at both the city and corporate levels. With this understanding, he would be able to evaluate how best to improve the performance of existing outlets and to choose an entry strategy for new cities. Students are asked to develop a financial model for outlets and use it to compare different growth strategies.

After analyzing this case, students will be able to:

• Assess the strategic and operational tradeoffs being made by the CEO of a company in a growing foodservice sector of an emerging market as he establishes and grows his enterprise

• Build a financial model for outlet operations that identifies key drivers of performance and allows for a comparison between different growth strategies

• Strategically prioritize growth opportunities for a company in response to an influx of new capita

Assess the strategic and operational tradeoffs being made by the CEO of a company in a growing foodservice sector of an emerging market as he establishes and grows his enterprise

Build a financial model for outlet operations that identifies key drivers of performance and allows for a comparison between different growth strategies

Strategically prioritize growth opportunities for a company in response to an influx of new capita

The learning outcomes of this study are to recall the fundamental concept of revenue management in the hotel industry (remembering); explain the various performance measures used to evaluate room revenue in hotels (understanding); use revenue management strategies to improve room revenue in hotel operations (applying); and examine and evaluate the optimal solution for revenue enhancement, considering factors such as capacity management, duration control and differential pricing (analyzing).

This case study delves into the challenges faced by Hotel King’s Cross, a business hotel located in Pune, Maharashtra, in the year 2022. A week before Christmas Eve, Soham Dande, the hotel’s revenue manager, sought a meeting with Rohan Chopra, the director of sales and marketing, to discuss “revenue optimization for the hotel.”

During their meeting, Dande mentioned that the hotel had fallen behind its budgeted room sales targets for 2022 across various metrics, such as room booking nights, occupancy percentage, average room rate and revenue per available room. Furthermore, the hotel was trailing behind its competitors. The situation was compounded by the management’s decision to raise the targets for 2023 by 5%–7%, factoring in upcoming events, competitive performance and pandemic-related losses over the past two years. Chopra faced the dilemma of formulating an action plan to achieve the ambitious 2023 targets and establish Hotel King’s Cross as a market leader.

Students undertaking executive development programs and graduate-level courses in non-profit hospitality and tourism management, as well as revenue management courses in the executive MBA, management development and graduate MBA programs, may all benefit from this case study.

Teaching notes are available for educators only.

CSS12: Tourism and hospitality.

Tuberculosis (TB) continues to c-exist with humans despite many TB control programs and elimination strategies. This depicts that some barriers are not allowing achieving the desired results. The current study aims to focus on identification and ranking of such barriers to facilitate TB control programs in developing countries.

In the present study, 13 barriers that can influence success rate of TB elimination strategies have been recognized with an in-depth assessment of related literature and opinions of specialists from medical industry and academic world. The interpretive structural modeling (ISM) and decision-making trial and evaluation laboratory (DEMATEL) techniques have been employed for the ranking of barriers.

Based on driving power of barriers, the study coined that underinvestment is a major barrier followed by poor implementation of government policies and programs, poverty and poor primary health care infrastructure.

The findings may guide healthcare service providers and researchers in analyzing the barriers and understanding the necessity of further advancements to decrease the count of already existing and incident cases.

Policy- and decision-makers may utilize the information on dependence and driving power of barriers for better planning and effective execution of TB control strategies.

Although a lot of literature is available on different barriers that are affecting success of TB strategies, the current study analyzes all the key barriers collectively for the prioritization of barriers.

This paper aims to identify emerging themes that can help in understanding the preferences of Indian consumers, in the transition generation (25-44 years) (Sinha, 2011), toward sustainability in the luxury lodging industry.

The paper uses a multi-method approach for data collection. Thorough literature review and personal interviews with marketers were conducted to explore the themes and construct tentative thematic webs. In total, 42 customer inputs were drawn through focus groups and personal interviews to validate the themes. Customer perspective, marketers’ perspective and findings from literature were juxtaposed to understand the themes.

“Influence of Parents, Children and Travel agents”, “Rewards for green behaviour” and “frequent communication around sustainability efforts” have been identified as some of the key motivations for consumers to choose sustainability. Some deterrents have been identified as “limited awareness about sustainability issues in Tier II cities”, “detachment with the hotel’s operations”, “higher prices” and “unchecked wasteful/acquisitive consumption”.

Findings from this research work have implications for the practitioners and policy-makers because establishing an understanding of the factors that deter and motivate consumers for engaging in green behavior is important for designing meaningful marketing strategies.

Findings are based on the analysis of data from customer inputs and industry inputs. Themes in this research work have been analytically identified, and this study has made significant academic contributions to the marketing literature. It also provides valuable insights for the practitioners.

The study aims to evaluate the long- vs short-run relationships between crops' production (output) and crops' significant inputs such as land use, agricultural water use (AWU) and gross irrigated area in India during the period 1981–2018.

The study applied the autoregressive distributed lag (ARDL) bounds testing approach to estimate the co-integration among the variables. The study uses the error correction model (ECM), which integrates the short-run dynamics with the long-run equilibrium.

The ARDL bounds test of co-integration confirms the strong evidence of the long-run relationship among the variables. Empirical results show the positive and significant relationship of crops' production with land use and gross irrigated area. The statistically significant error correction term (ECT) validates the speed of adjustment of the empirical models in the long-run.

The study suggests that the decision-makers must understand potential trade-offs between human needs and environmental impacts to ensure food for the growing population in India.

For a clear insight into the impact of climate change on crops' production, the current study incorporates the climate variables such as annual rainfall, maximum temperature and minimum temperature. Further, the study considered agro-chemicals, i.e. fertilizers and pesticides, concerning their negative impacts on increased agricultural production and the environment.