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This study revisits the discourse on the neoliberalization of business schools and explores how accreditation-linked institutional pressures catalyze cultural change that adversely impact academic labor and academic subjectivities in the Global South.

This study is based on in-depth semi-structured interviews with academics from elite business schools in India.

This study shows how academics encounter institutional pressures in Indian business schools. Three major themes emerged from the data: (1) the conception of the ideal academic that existed before accreditation, (2) how the conception of the ideal academic was fundamentally transformed during and after accreditation, and (3) the challenges academics experienced in achieving the performance targets introduced by accreditation-linked institutional pressures.

This study offers two contributions to the extant literature on business schools located in the Global South: (1) it illustrates how organizational changes within business schools in India are structured by accreditation-linked institutional pressures coming from the Global North, and (2) it adds to the growing body of work on neoliberal governmentality by highlighting the implications of accreditation-liked institutional pressures on academic subjectivities.

Transformational leadership has caught the significant attention of many academic scholars in the leadership domain. In recent studies, emphasis has been given on green transformational leaders who empower their subordinates, which, in turn, leads to employees’ discretionary behavior toward environmental management of the organization, which has been denoted as organizational environmental citizenship behavior. Organizational citizenship behavior has been strongly advocated as a means to improve the environmental performance of organizations. A green transformational leader encourages his subordinates to undertake activities that are beneficial to the organization’s environmental management, such as thinking about the sustainable development of the organization, solving environmental problems and contributing to the firm’s environmental performance. This study aims to investigate the domain of environmental leadership by examining the mechanism and conditions under which green transformational leaders induce organizational environmental citizenship behavior.

Information technology (IT) firms across four major cities in India were considered for the survey to examine the proposed hypotheses. Online questionnaires were shared with 1,286 employees working across seven branches of IT companies. A total of 378 respondents completed the survey, but only 293 questionnaires were suitable for further analysis using structural equation modeling.

The findings of the study show that green transformational leadership promotes green empowerment and organizational citizenship behaviors toward the environment (OCBE) among the employees. It also reveals that environmental passion plays a key role in promoting eco-initiative and eco-helping behavior among the employees when they are empowered for green practices. Also, the influence of resource commitment fosters eco-civic engagement among the employees.

Results hold strong implications for human resource managers on how green transformational leadership approaches can help trigger organizational citizenship behavior among employees. Also, understanding the impact of green empowerment on employees’ involvement in extra-role behavior will help organizations to develop strategies to strengthen their sense of empowerment toward green practices.

This study attempts to investigate the impact of green transformational leadership on employees’ OCBE and the mechanisms through and conditions under which green transformational leadership may impact the indicators of OCBE. The study proposes a mechanism and social and psychological conditions that can potentially explain the linkages between green transformational leadership and OCBE: green empowerment, resource commitment and environmental passion.

This paper evaluates the precision of four metasearch engines (MSEs) – DuckDuckGo, Dogpile, Metacrawler and Startpage, to determine which metasearch engine exhibits the highest level of precision and to identify the metasearch engine that is most likely to return the most relevant search results.

The research is divided into two parts: the first phase involves four queries categorized into two segments (4-Q-2-S), while the second phase includes six queries divided into three segments (6-Q-3-S). These queries vary in complexity, falling into three types: simple, phrase and complex. The precision, average precision and the presence of duplicates across all the evaluated metasearch engines are determined.

The study clearly demonstrated that Startpage returned the most relevant results and achieved the highest precision (0.98) among the four MSEs. Conversely, DuckDuckGo exhibited consistent performance across both phases of the study.

The study only evaluated four metasearch engines, which may not be representative of all available metasearch engines. Additionally, a limited number of queries were used, which may not be sufficient to generalize the findings to all types of queries.

The findings of this study can be valuable for accreditation agencies in managing duplicates, improving their search capabilities and obtaining more relevant and precise results. These findings can also assist users in selecting the best metasearch engine based on precision rather than interface.

The study is the first of its kind which evaluates the four metasearch engines. No similar study has been conducted in the past to measure the performance of metasearch engines.

This paper aims to explore the challenges faced by start-ups during COVID-19 and highlight solutions for catering to the new-normal consumer behaviour. The study accounts for 15 deep-tech start-ups sailing through the pandemic and their responsiveness. This study brings forth insights and experiences from the Indian start-up founders and CEOs during COVID-19.

This study uses a qualitative approach and is exploratory and phenomenological. A purposive sample of 15 young start-ups founded between the years 2013–2020 by founders aged between 24 and 41 was selected for the study. The recorded telephonic interview was collected from the founders from April 2021 to September 2021. The thematic analysis of the study evolves from Braun and Clarke (2006) using the MAXQDA 2020.

The study emphasizes upon challenges faced by start-ups, crisis management of start-ups and the relevance of technology-based start-ups during challenging times. This research provides a qualitative framework to establish the role of the technology acceptance model (TAM) towards the adaptability, responsiveness and resilience demonstrated by the start-ups. The findings also highlight the solutions to address challenges faced by start-ups and road to recovery.

The study has great relevance and lessons for budding entrepreneurs during crisis management. The study has implications for corporations and governments in terms of setting up incubators and accelerators to support budding entrepreneurs.

The study is unique in highlighting the relevance and importance of TAM for start-ups during crisis management like COVID-19. The study thrusts upon the need of technology acceptance for better crisis management.

The main aim of the study is to identify some critical microeconomic determinants of financial distress and to design a parsimonious distress prediction model for an emerging economy like India. In doing so, the authors also attempt to compare the forecasting accuracy of alternative distress prediction techniques.

In this study, the authors use two alternatives accounting information-based definitions of financial distress to construct a measure of financial distress. The authors then use the binomial logit model and two other popular machine learning–based models, namely artificial neural network and support vector machine, to compare the distress prediction accuracy rate of these alternative techniques for the Indian corporate sector.

The study’s empirical results suggest that five financial ratios, namely return on capital employed, cash flows to total liability, asset turnover ratio, fixed assets to total assets, debt to equity ratio and a measure of firm size (log total assets), play a highly significant role in distress prediction. The study’s findings suggest that machine learning-based models, namely support vector machine (SVM) and artificial neural network (ANN), are superior in terms of their prediction accuracy compared to the simple binomial logit model. Results also suggest that one-year-ahead forecasts are relatively better than the two-year-ahead forecasts.

The findings of the study have some important practical implications for creditors, policymakers, regulators and other stakeholders. First, rather than monitoring and collecting information on a list of predictor variables, only six most important accounting ratios may be monitored to track the transition of a healthy firm into financial distress. Second, our six-factor model can be used to devise a sound early warning system for corporate financial distress. Three, machine learning–based distress prediction models have prediction accuracy superiority over the commonly used time series model in the available literature for distress prediction involving a binary dependent variable.

This study is one of the first comprehensive attempts to investigate and design a parsimonious distress prediction model for the emerging Indian economy which is currently facing high levels of corporate financial distress. Unlike the previous studies, the authors use two different accounting information-based measures of financial distress in order to identify an effective way of measuring financial distress. Some of the determinants of financial distress identified in this study are different from the popular distress prediction models used in the literature. Our distress prediction model can be useful for the other emerging markets for distress prediction.

While the COVID-19 pandemic has given many firms the importance of business continuity, restaurants have yet to realize the essential enablers. In this regard, the study explored the potential enablers that can help firms attain business continuity in the post-COVID-19 era for casual dining restaurants.

This study used an extensive literature review and further supported 28 restaurant managers with an average experience of 8.5 years to identify the potential enablers for ensuring business continuity for casual dining restaurants. Subsequently, this study used the interpretive structural modelling coupled with Matrice d'Impacts Croisés Multiplication Appliquée à un Classement (MICMAC) analysis to understand the context-specific inter-relationships as a hierarchical structural model.

Findings suggest that financial capability forms the key driver for other enablers in the hierarchy of business continuity for casual dining restaurants. Furthermore, manpower (local and outstation) are the second-level drivers of restaurant process control, digital presence, online reviews and feedback management, scalability, food quality, food delivery management, employee safety and hygiene. The third-level factors further help restaurants to achieve the dynamic capability required to provide customer value and ensure business continuity.

The study is the foremost to explore a business continuity framework in the new normal for casual dining restaurants in the country. Furthermore, several contextual inter-relationships exhibiting the hierarchy are also established for the business continuity of restaurants in the new normal.

This study explored the role of inter-organizational systems (IOS) appropriation in the form of five key IOS usage-based capabilities, namely, IOS use for communication, intelligence, integration, collaboration and coordination in the development of tourism SC agility and resilience. Furthermore, the inter-relationship among these IOS usage-based capabilities were explored.

The study collected perceptual measures from hotel managers and tour managers having sufficient experience in the tourism sector. With 209 completed responses, the data were analyzed using partial least squares.

The study found IOS use of communication and intelligence as prominent enablers of IOS use for integration, collaboration and coordination. Furthermore, IOS use for integration, collaboration and coordination was found to have a prominent influence in the development of tourism SC agility and resilience. However, the influence of IOS use for communication on collaboration was not supported. Also, the impact of IOS use for collaboration in tourism resilience development was not supported.

The study is the foremost to explore the role of IOS appropriation in the development of dynamic capabilities like agility and resilience in tourism. Furthermore, the study also contributed to extant literature on IOS appropriation through suggesting two additional factors, namely, IOS use for collaboration and coordination to the existing IOS usage-based capabilities.

The purpose of this paper is to analyze the repair of a straight and angular crack in the structure using a piezoelectric material under thermo-mechanical loading by the extended finite element method (XFEM) approach. This provides a general and simple solution for the modeling of crack in the structure to analyze the repair.

The extended finite element method is used to model crack geometry. The crack surface is modeled by Heaviside enrichment function while the crack front is modeled by branch enrichment functions.

The effectiveness of the repair is measured in terms of stress intensity factor and J-integral. The critical voltage at which patch repair is most effective is evaluated and presented. Optimal patch shape, location of patch, adhesive thickness and adhesive modulus are obtained for effective repair under thermo-mechanical loading environment.

The presented numerical modeling and simulation by the XFEM approach are of great benefit to analyze crack repair in two-dimensional and three-dimensional structures using piezoelectric patch material under thermo-mechanical loading.

Services marketing.

This case can be taught effectively to MBA/MS students. The case provides students with an opportunity to closely examine various marketing activities and to understand how problems associated with intangible services can be dealt with by using effective integrated marketing communications.

On March 1, 2011, JustEat, the world's largest and premium online food ordering and table reservation portal, acquired a 60 per cent stake in India's premium online food ordering and table reservation portal – Hungryzone. Following this, Hungryzone was rebranded as www.justeat.in. Ritesh Kumar Dwivedy Founder and CEO of Hungryzone and now the CEO of www.justeat.in, soon faced some challenges that cropped up as a result of this new development. Rebranding and the scalability of operations with the existing resources were the major causes of concern. To overcome these problems, www.justeat.in undertook several marketing initiatives and in the process implemented innovative ideas like JustConnect Terminal; introduction of the global JustEast mascots Belly and Brain to replace the existing mascot Aloo Patel of Hungryzone; and various innovative promotional activities to promote www.justeat.in. The case highlights the issues and challenges faced by the management. Finally some significant challenges yet to be resolved are posed. What should be done to deal with the problem of poaching of customers by partnering restaurants? How should www.justeat.in ensure that the partnering restaurants do not perceive it as their competitor in spite of the fact that registering with www.justeat.in helps increase their revenues by 10-15 perx cent? How should www.justeat.in convince popular restaurant chains to register with it keeping in mind the fact that they are already facing excess demand situations?

The case is designed to enable students to understand: the concepts associated with delivering services through electronic channels; communications and the services marketing triangle; key serxvice communication challenges; the integrated services marketing communication mix; strategies to match service promises with delivery; and the services branding model.

Teaching notes are available; please consult your librarian for access.