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This article adopts Ray Oldenburg's definition of third places and argues that the eight characteristics of third places are demonstrated in the tea houses of Masulih. In many vernacular communities, participating in informal public gathering places, or third places, is one of the daily routines of local inhabitants. The male inhabitants–including seniors and shopkeepers, as well as the shepherds who migrate seasonally with their herds from plateau of Gilan to Masulih–regularly visit and socialize in Masulih's tea houses. Recently, tourists also have become regular visitors of the tea houses. Qualitative research methods were conducted during extended field work in Masulih during 2008 to 2015. In-depth interviews with local inhabitants placed them as local experts. This allowes for a deeper understanding of the use of the tea houses as third places. In addition, research was conducted through visits to the tea houses at various times of the year in order to record their seasonal usage. While not every vernacular settlement in Iran is a tourist destination, Masulih, with its tea houses integrated in the bazaar, sees regular and steady tourist visitation. Masulih's rich cultural, architectural, and tourist landscape generates a complex research ground. This article suggests that tea houses, as third places, are vital for informal regular gathering of local Masulih residents, seasonal visitors, and tourists.

Significant differences exist in terms of use and demand of urban public space in different districts and communities. In this study, PSPL survey was made in about one year to investigate the type and occurring time of outdoor activities and the visitors' demand difference of Round-City-Park in Xi'an, China. The survey method for collecting data included spatial classification, photographic recording, field observation, questionnaires and interviews. Then a new method of Virtual Typical Day (VTD) was put forward to analyze usage pattern of public space in the daily life. According to our results, laying out more public spaces close to residential area can make a more vigorous city. And the results also reveal that there exist some problems of uneven usage periods in different spaces, various space requirement from different age groups, insufficient support of space and facilities and so on. Based on the survey, an optimizing strategy of adaptive design is proposed such as setting mobile “stage” and providing flexible “props” according to the changing demands. The proposed design approach can encourage people to participate in outdoor activities, improve usage frequency of public spaces, and stimulate vitality of the city. This may also apply to other Chinese cities.

The purpose of this paper is to discover the numerous risk and benefit perceptions involved in the patrons’ purchase and consumption decisions related to wine in India. It will also recognise and find out the motives behind the consumers’ drinking patterns and attitude towards wine, which affect their overall behavioural intentions (word of mouth and repurchase intentions).

Data were collected using a structured survey questionnaire from the 375 wine patrons in Delhi. Exploratory factor analysis was used in which the risk (five) and benefit (two) factors related to wine consumption were verified on a factor model using 25 constructs. It was a two-phase process in which the measurement model, with six constructs and 18 measurement items, were measured, trailed by the structural model. A conceptual framework was used to illustrate the relationships amongst the variables and was empirically verified.

The findings revealed that the risk and benefit perceptions of the wine patrons are not only interlinked but are also accountable for their fluctuations in attitudes. In the factorial analysis, it was discovered that perceived benefit factors, i.e. value for money and convenience, are accountable for positively affecting the attitudes of patrons towards the wines. The results also specify that an increase in benefit perception or decrease in risk perception will positively transform the patrons’ attitude towards wine.

Although a few studies have been done to find out the risk/benefit perceptions of wine consumers in the developed countries (i.e. USA, France, UK, etc.) but this will be the first attempt to find out how the consumption patterns and purchase decisions of wine consumers are affected in developing countries like India. Moreover, it will help the stakeholders to align their wine products as per the needs and demands of the patrons.

This present study was conducted to evaluate the effect of different cooking methods on quality characteristics of turkey meat cutlets, i.e. turkey meat cutlets prepared by deep frying (DF), turkey meat cutlets prepared by shallow frying (SF), turkey meat cutlets prepared by microwave cooking at 740 MHz for 20 min (MW) and turkey meat cutlets prepared by microwave cooking at 740 MHz for 10 min followed by shallow frying (MS).

Several preliminary trials were conducted to optimise the formulation, and finally, turkey meat cutlets were prepared, as per the method followed by Singh et al. (2015). These standardised turkey meat cutlets were cooked with four different cooking methods. The best formulation and optimum cooking method were selected on the basis of physicochemical properties and sensory evaluation.

pH and moisture content of MW were significantly (P < 0.03) higher than DF, SF and MS; however, cooking yield and water activity values of MW and MS were significantly (P < 0.05) higher. DF had significantly (P < 0.02) higher fat content than SF > MS > MW. The values of textural parameters were significantly (P < 0.01) higher in DF, whereas lightness values of MW and redness values of DF were significantly (P < 0.02) higher. Scores of various sensory attributes, including overall acceptability, were significantly (P < 0.03) higher in MS. Therefore, MS – turkey meat cutlets prepared by microwave cooking at 740 MHz for 10 min followed by shallow frying were found optimum.

Cooking methods vary according to the choice and flavour of the consumer. Meat products, especially cutlets, can be cooked with many cooking methods, but it is always good to choose the one method which contains less fat per cent as per the requirement of present-day health-conscious consumer and also retains and add on to the taste of the product. Hence, microwave cooking followed by shallow frying was found as such a cooking method that has the characteristics of both, i.e. less fat content and also is tasty to the tongue.

The purpose of this paper was to examine how community engagement can be influenced by responsible leadership during crises. It looks at the phenomenon of community engagement and responsible leadership in India during the Covid-19 pandemic, using the collective responses of community.

This paper uses netnography, which studies community interpretations through their online social communication. The perceptions on how engaged the Indian community felt during the pandemic were studied by collecting and analysing their postings on social media.

The findings suggest that responsible leadership – through the building of trust, open communication, collective consciousness and mindful action – is an effective way to positively engage stakeholders and influence community response during a pandemic.

This paper contributes to the literature of responsible leadership and community engagement during crises. It is an attempt to link public leadership with responsible leadership and its impact on community engagement in a novel way, filling a void in the literature.

The aim of this research is to assess the key enablers of Industry 4.0 (I4.0) in the context of the Indian automobile industry. It is done to apprehend their comparative effect on executing I4.0 concepts and technology in manufacturing industries, in a developing country context. The progression to I4.0 grants the opportunity for manufacturers to harness the benefits of this industry generation.

The literature related to I4.0 has been reviewed for the identification of key enablers of I4.0. The enablers were further verified by academic professionals. Additionally, key executive insights had been revealed by using interpretive structural modelling (ISM) model for the vital enablers unique to the Indian scenario. The authors have also applied MICMAC analysis to group the enablers of I4.0.

The analysis of this study’s data from respondents using ISM provided us with seven levels of enabler framework. This study adds to the existing literature on I4.0 enablers and findings highlight the specificities of the territories in India context. The results show that top management is the major enabler to I4.0 implementation. Infact, it occupies the 7th layer of the ISM framework. Subsequently, government policies enable substantial support to develop smart factories in India.

The findings of this work provide implementers of I4.0 in the automobile industry in the form of a robust framework. This framework can be followed by the automobile sector in enhancing their competency in the competitive market and ultimately provide a positive outcome for the Indian economic development led by these businesses. Furthermore, this work will guide decision-makers in enabling strategic integration of I4.0, opening doors for the development of new business opportunities as well.

The study proposes a framework for Indian automobile industries. The automobile sector was chosen for this study as it covers a large percentage of the market share of the manufacturing industry in India. The existing literature does not address the broader picture of I4.0 and most papers do not provide validation of the data collected. This study thus addresses this research gap.

This study sought to determine the role of green human resource management (GHRM) in fostering employees' environmental performance (ENVP). This study aims to advance knowledge related to the role of firms’ GHRM activities in cultivating eco-responsible behaviors among employees, considering green innovation (GI) as a mediator.

For this study, data of 579 respondents were collected from employees working in the manufacturing industry in India. In all, 579 employees from the manufacturing sector in India participated in the study. The proposed model was tested using SMART PLS 3.3.

The findings of this study stated that GHRM was found significantly to predict ENVP in the Indian manufacturing industry, and GI exhibited partial mediation. This study emphasizes that GHRM activities carried out by firms encourage employees to engage in innovation to develop green products and find novel green operation processes to improve firms’ ENVP.

As this study is limited to manufacturing organizations in India, the results of this study cannot be generalized; future studies may examine the proposed model in different contexts to generalize findings.

This study encourages policymakers to devise laws to enable organizations to implement GHRM practices. This study contributes to the existing literature on the environmental aspects of corporate social responsibility and environmental management. This study is one of the few attempts that seek to assess the relationship between GHRM, ENVP and GI in the Indian manufacturing industry. The contribution of this paper is significant to limit GHRM literature, as it empirically investigates the association between GHRM and ENVP.

This study aims to identify various risk and benefit perceptions related to the consumers’ use and selection of online food delivery applications (OFDAs) in India. It also discovers the reasons behind consumers’ OFDAs selection behaviour and how it influences their inclusive attitudes and behavioural intentions (word of mouth and re-use intentions).

Responses from 337 OFDAs users were subjected to exploratory factor analysis for 5 risk and 2 benefit factors which were tested on a factor model using 31 constructs followed by the structural model.

It was found that consumers’ usage and selection behaviour related to OFDAs are not only influenced by the perceived risk and benefit factors but are also responsible for their overall attitudinal and behavioural variations. It was also found that a decrease in risk perception or an increase in benefit perception of consumers will positively influence their overall attitude towards the use of OFDAs.

Though a lot of studies related to OFDAs have been conducted in India, but they were limited to identifying the technology used in the apps, analysing the user interface or promoting them as start-ups. Moreover, previous literature related with the risk/benefit perceptions linked with the OFDAs is addressed towards Western countries such as USA, Italy and UK. To the best of the authors’ knowledge, this is one of the first studies that explored the risk/benefit perceptions related to the use and selection of OFDAs in the context of India. Besides, it may also help the stakeholders in OFDA business to align their OFDA features as per the needs of the consumers.

This study aims to evaluate the consumer perceptions related to sanitation in the five-star hotels due to the COVID-19 pandemic. It also identified the most significant sanitation dimensions and their influence on the pertinent emotions experienced by the hotel consumers.

It identified seven sanitation dimensions (i.e. exterior of the hotel, guestrooms, washrooms/restrooms, in-house restaurant dining, hotel employees, public areas and handling of food) which were assessed through 10 positive and negative consumer sanitation emotions. A structured online survey was conducted to collect data from the 763 five-star hotel consumers. Exploratory factor analysis was applied on the 35 parameters of the seven identified sanitation dimensions, and analysis of variance (ANOVA) was used to determine the most significant dimensions among the hotel consumers.

Results revealed that among the seven sanitation dimensions, “exterior of the hotel” and “public area” dimensions were found to be statistically less significant compared to the other sanitation dimensions. Findings related to consumer emotions showed that a significantly high percentage of consumers revealed strong negative emotions, i.e. disgust and discontent toward the poor standards of sanitation in the hotels.

The study results may be helpful for the hotel administrators and managers to adequately plan the training sessions for their employees based on the consumer perception and emotions toward the identified sanitation dimensions. Further, it may also help in the implementation of the COVID-19 awareness program based on the consumer inputs and perceptions.

Although a few studies have been performed to explore the sanitation dimensions in the hospitality sector before, but this will be a first attempt to identify and measure the sanitation dimensions and corresponding consumer emotions due to the COVID-19 pandemic.

The online shopping behavior is the outcome of the variety of attribution from product/ service offering to internet experience. The present study attempts to develop a complete product/service offering by exploring and examining the different combinations of online shopping attributes to provide the customized experience. Therefore, this study aims to fill the gap of customer desired experience and present scenario in online shopping behavior.

The exploration of attributes pertaining to online shopping behavior was done by seeking theoretical support from different technology adoption theories/models and the Delphi technique, exercised with active participants of online and offline shopping. The theoretical and experience shared attributes were devised and social desirability scale (SDS) was used for eliminating the social desirability bias. Further, the questionnaire was administered online and offline during mall intercept. The Conjoint analysis was used to investigate the relative importance and utilities of the attributes and its levels individually and compositely at different levels.

In the context, brand loyalty, online reputation management and Web interactivity were found most relavant followed by e-WOM, perceived risk and price. The specific levels of attributes such as taking consumer advice, search engine optimization (SEO), perception-based interactivity, consumer message boards, product risk and discount pricing were the crucial in motivating the customers for online shopping. This research affords the avenue for the marketers to motivate and delight consumers to retribalize by the way of “e-tribalizing.”

The current study was conducted in confined geographical locations and limited in sample size; thus, the issue of generalization may prevail, but forthcoming researchers may exercise the techniques with better probabilistic sampling technique. The mass customization of the website features by comparing attribute orientation of customers around websites was recommended with the third-party certification to reduce the consumers’ perceived risk during online shopping. Finally, the different levels, such as Facebook fan page in ORM and Everyday Low Price (EDLP) in pricing may be considered for the future research work.

The research studies on online shopping behavior with Web interactivity, e-WOM, perceived risk, brand loyalty, ORM and price using a decompositional technique are scant. This study persuades the customers to go for online shopping by putting them in the almost real-time purchasing scenario. The study confirmed the need of people to retribalize through e-tribalization by the way of customization for the masses in the context of online shopping.