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The purpose of this paper is to map the causal relations among various supply chain flexibility (SCF) dimensions having significant impact on the Indian personal hygiene industry.

The author(s) have gone through extensive literature review and extracted 22 SCF dimensions. After conducting field visits and expert interaction in the firm related to case industry, 11 major SCF dimensions that seem to have a significant amount of influence on supply chain performance of the firms were retained for further consideration. The author(s) have used decision making trial and evaluation laboratory (DEMATEL) to establish initial causality and structural equation model (SEM) to investigate the contribution of different flexibility dimensions on overall SCF.

After DEMATEL analysis, three major SCF dimensions were considered for SEM modeling. The result shows that product flexibility and physical distribution flexibility have favorable influence on the SCF, while the demand management flexibility adversely impacts overall SCF.

The approach adopted in the study can help firms to determine and exercise the flexibility dimensions of a particular supply chain. The DEMATEL and SEM offer a facilitation to explain the causal relationship between the different dimensions to take long-term decisions and address the uncertainty in the demand and supply side.

This paper has made an attempt to evaluate the supply chain flexibilities, prioritize them and evaluate the relationship amongst these flexibilities and the degree to which they affect or are affected by one another in the Indian personal hygiene industry.

Suppliers and marketers have started planning toward postpandemic scenarios where logistics and retail will happen in a new way with the help of technological advances. This shift means new challenges for manufacturers, suppliers and retailers, and there is a need for strategic sourcing decisions for a robust supply chain system, logistics and on-time delivery system, as consumers have shown a positive change in online buying behavior. Furthermore, with digital transformation, customers are expected to not return to traditional buying. Hence, it becomes essential to identify the factors acting as enablers of online purchase behavior for sustainable digital business. This study aims to analyze the positive shifts in online purchasing by consumers, identify and model the enablers of positive transformations in online purchasing by consumers.

The interpretative structural modeling (ISM) technique is used to draw the interrelationships among the variables and their impact on online buying. A context-oriented relationship among the factors has been set up through the expert opinion technique. A total of 40 specialists have been approached for this. ISM with Matrice d’impacts croisés multiplication appliquée á un classment (MICMAC) analysis was used to prioritize these drivers, identify the most critical factors and establish a driver-dependence relationship among these drivers.

Several significant categories of enablers like health, trust, convenience, work from home, referral buying, panic purchase and overstocking possess a strong influence on the shift to online due to the pandemic. The results will help the policymakers, suppliers, retailers, managers and practitioners with insights to plan, prepare for challenges and make decisions toward preparation and shifting to the emergent digital world. In addition, the study provides academicians scope for further research in the related area.

Consumer behavior significantly impacts retail and supply chain business, as it is an interface with the customer and links between a manufacturer and a customer. This study provides an insight into the shift in purchase behavior which can help suppliers in this transition phase to be better prepared for tomorrow to achieve sustainable competitive advantage.

This study assists practitioners and researchers in understanding the interrelationships among the factors using ISM-MICMAC analysis in a realistic way rather than daydreaming with overambitious goals.

Purpose: Nowadays, many terms like computer vision, deep learning, and machine learning have all been made possible by recent artificial intelligence (AI) advances. As new types of employment have risen significantly, there has been significant growth in adopting AI technology in enterprises. Despite the anticipated benefits of AI adoption, many businesses are still struggling to make progress. This research article focuses on the influence of elements affecting the acceptance procedure of AI in organisations.

Design/Methodology/Approach: To achieve this objective, propose a hierarchical paradigm for the same by developing an Interpretive Structural Modelling (ISM). This paper reveals the barriers obstructing AI adoption in organisations and reflects the contextual association and interaction amongst those barriers by emerging a categorised model using the ISM approach. In the next step, cross-impact matrix multiplication is applied for classification analysis to find dependent, independent and linkages.

Findings: As India is now focusing on the implementation of AI adoption, therefore, it is essential to identify these barriers to AI to conceptualise it systematically. These findings can play a significant role in identifying essential points that affect AI adoption in organisations. Results show that low regulations are the most critical factor and functional as the root cause and further lack of IT infrastructure is the barrier. These two factors require the most attention by the government of India to improve AI adoption.

Implications: This study may be utilised by organisations, academic institutions, Universities, and research scholars to fill the academic gap and faster implementation of AI.

This paper aims to identify barriers toward the adoption of blockchain (BC) technology in Indian health-care industry and also examines the significant issues of BC applications in health-care industry.

The barriers of the study are identified by two phases including the review of literature and semistructured interviews with hospital staff and administration operating in India. The experts (N = 15) are being taken from top-level management, IT experts and patients from the hospitals. The study implemented integrated total interpretative structural modeling-FUZZY-Cross-impact matrix multiplication applied to classification (TISM-FUZZY-MICMAC) methods for identifying the interrelationship among the barriers.

A total of 15 barriers have been determined in the Indian health-care industry through discussion with the selected experts. TISM is applied to develop multilevel structure for BC barriers. Further, FUZZY-MICMAC has been used to compute driving and dependent barriers. The findings suggest that low awareness related to legal issues and low support from high level of management have maximum driving power.

The present study applies multicriterion approach to identify the limited barriers in BC adoption in health care. Future studies may develop the relationship and mark down the steps for implementation of BC in health-care setting of a developing economy. Empirical study can be conducted to verify the results along with selected case studies.

The present study identifies the BC adoption barriers in health-care industry. The study examines the pertinent issues in context to major support required, bottlenecks in adoption, key benefits of adoption planning and activities. The technology adoption practices are expected to provide applications such as distributed, secured medical and clinical data and patient centric systems that will enhance the efficiency of the health-care industry.

The study is among few primary studies that identify and analyze the BC adoption in health-care industry.

To develop a fuzzy causal model of enterprise flexibility dimensions in a case study of Indian pharmaceutical industry.

The eight dimensions of enterprise flexibility were identified based on literature review. Fermatean fuzzy decision-making trail and evaluation laboratory (FF-DEMATEL) technique is applied to develop the cause-and-effect interrelationship model among various enterprise flexibility dimensions.

The information technology flexibility, supply chain flexibility, technical flexibility and marketing flexibility are found to be causing/influencing other flexibilities and contributing to overall enterprise flexibilities. Therefore, more attention needs to be paid to develop and sustain them for competitive advantage.

Fermatean fuzzy sets offer more flexibility and more accurate handling complex uncertain group decision making. FF-DEMATEL is a more accurate method to develop inter-dependencies and causal model than ISM, TISM. Ratings from the limited number of decision experts (DEs) from few pharmaceutical firms were done. Future study should take bigger sample of firms and more number of DEs to generalize the findings.

The model will help managers in pharmaceutical industry to prioritize the dimensions of enterprise flexibility to achieve agility, responsiveness, resilience and competitive advantage.

To the best knowledge of the authors, causal modeling enterprise flexibility dimensions using FF-DEMATEL has been studied for the first time in a developing economy context.

This study endeavours to (a) develop a comprehensive interpretive structural modelling (ISM) toolkit containing sufficient details about the suitability and procedural aspects of each ISM approach and offer points of reference for budding researchers, (b) highlight the compatibility of ISM approaches with other qualitative and quantitative approaches, and (c) chalk-out an agenda for future research.

This study is based on an extensive review of 74 studies where researchers have used one or more ISM approaches. These studies span across the different industry sectors.

There exists a huge void in terms of the methodological synthesis of ISM approaches. ISM approaches are frequently used in sync with other qualitative and quantitative approaches. Furthermore, it highlights the need of improving the robustness of the proposed ISM models by sharing the critical details of research process.

Being a review-based work, it could not illustrate the discussed ISM approaches with real data. However, it offers a research agenda for the prospective researchers.

The prerequisites, pitfalls, suitability and the procedural aspects of various ISM approaches contained in this toolkit are equally useful for the academicians as well as practitioners.

In the absence of a synthesized framework, this study contributes a comprehensive ISM toolkit which will help the researchers to choose a suitable ISM approach in a given case.

The purpose of this study is to examine the influence of perceived risk (perceived susceptibility and perceived severity), self-efficacy and individual differences (personal innovativeness and mobile payment knowledge) on consumers’ intention to use contactless mobile payment services (MPS). Additionally, it also empirically tested the moderating effect of hygiene consciousness in the proposed conceptual model.

The present research developed a conceptual model based on the health belief model (HBM) and diffusion of innovation theory (DOI) to empirically assess whether and how perceived risk, self-efficacy and individual differences influence consumer intention to use contactless MPS. The data was collected using the survey method from 251 smartphone users and analyzed with structural equation modeling. The moderating role of hygiene consciousness was studied in the relationship that self-efficacy and personal innovativeness shares with consumers’ intention toward contactless MPS.

The results of this study disclose that among all precursors of consumers’ intention toward contactless MPS, only perceived severity, self-efficacy, personal innovativeness and mobile payment knowledge positively affect consumers’ intention to use contactless MPS. However, the effect of perceived susceptibility on consumers’ intention toward contactless MPS was found to be non-significant. The results further depict that hygiene consciousness acts as a moderator in driving consumers’ intention toward contactless mobile payment services.

The HBM model and DOI, which incorporate perceived risk, self-efficacy, individual differences and hygiene consciousness, give light on the factors influencing consumer intention to use contactless MPS in a pandemic situation such as COVID-19. The study will provide useful insights to marketers on how to frame their strategies in the aftermath of pandemics, as the contactless mobile payment method may be perceived as a defensive behavior during and after pandemics.

The study will provide useful insights to marketers on how to frame their strategies in the aftermath of pandemics, as the contactless mobile payment method may be perceived as a defensive behavior during and after pandemics.

By uniting perceived risk, self-efficacy and individual differences with consumers’ intention toward contactless MPS in a conceptual model, along with examining the moderating role of hygiene consciousness, this work responds to the calls for upcoming research concerning mobile payment systems as means of future payment. Thus, it offers an understanding of particular consumer motivations that may guide consumers’ intention toward contactless MPS through the theoretical lens of HBM and DOI.

This paper aims to examine new housekeeping procedures introduced in response to COVID-19. The pandemic has required hotels to reassess their standard operating procedures, especially in housekeeping to retain the confidence of guests in the hotel/brand via high standards of sanitization, hygiene and the maintenance of social distancing.

The article draws on publications and announcements made by major brands and associations about their updated standards of cleaning, hygiene and sanitisation, social distancing and workplace protocols arising from the pandemic. Further, a survey was used to determine the impact of new processes on housekeeping teams and their perceptions of its effect on service quality, guests and employee safety.

Some key new processes are: keeping the hotel room vacant for several hours after departure, the sanitisation of every room, cleaning and sanitisation of high touch points, linen and waste management and low frequency or complete avoidance of the cleaning of occupied rooms. The survey questionnaire establishes that housekeepers value their new standard operating procedures (SOPs) and agree that “clinically clean” is the new normal and essential to avoid cross-contamination and keep guests and employees safe.

As the pandemic is a current phenomenon, the guidelines and protocols are rapidly evolving. Hotels are innovating and looking for new processes to manage infection control. This study has mainly focused on cleanliness and hygiene protocols and procedures prevalent in the industry. Currently, future work could be useful to evaluate the long-term impact of COVID-19 on the new processes and procedures that have been deployed.

In order to recover from the pandemic, the Indian hotel industry faces a colossal task. Even when the virus peaks have passed and hotels can safely reopen, the fear of infection will continue and so guest trust and confidence is essential. Given this, the paper should be of interest to hoteliers and policymakers seeking to implement the best possible post COVID-19 housekeeping practices.

This paper identifies and analyses best practice in hotel housekeeping in response to COVID-19. The new standards that are being adopted aim to assure hotel guests and employees about the hygiene and safety measures and standards that have been adopted.

This paper attempts to identify emerging themes that focus on customer experience of culinary tourism of international tourists who opted for food tours in Delhi.

The paper uses a multi-method approach for data collection. A thorough review of literature was conducted followed by gaining insights from the industry experts for the themes and a tentative thematic table was established. Thereafter, secondary data comprising 1,744 customer reviews from world’s leading travel website – Tripadvisor.com was analysed using thematic analysis. Customer’s real-time feedback and industry insights were paired together to gather meaningful and practical insights on customer experiences of food tours in Delhi.

Culinary tourism of Delhi is facing challenge in the areas of infrastructure, hygiene and certain preconceived notions related to brand perception of Indian cuisines. The findings of the study allude that the food tour agencies must be professional with all certifications and attention must be paid to location of food tastings, as it become the representation of Indian food worldwide. The findings also indicate customization is the key to positive customer experience, thereby requiring culinary professionals to understand the customer choices and personalize the food tours accordingly. Online reputation management is another key area requiring attention as electronic word of mouth plays a major role in the hospitality industry.

Although this study corroborates valuable academic findings and practical insights, it has few limitations that can be further investigated in the future. A quantitative study can be conducted to provide deeper insights into the factors of a culinary tour resulting in positive customer experience. Secondly, this study focuses on customer experience of food tours which is one of the forms of Culinary tourism, another elaborate study can be conducted incorporating other methods of culinary tourism such as cooking classes, food festivals, events etc. and delving into insights of customer experience and challenges in those practices.

Themes ascertained in this research paper provide deeper and worthy insights to all the stakeholders which would help them use their tourism resources in best optimal manner. Findings of the study would be valuable to culinary organizations, tourism department and other researchers working in the area of culinary tourism. Also, this study can be quite valuable for the academic researchers. Suggestions of the study will help the government, culinary organizations and other stakeholders to enhance culinary tourist experiences of Delhi.

The study is original and highly appropriate to all the stakeholders to formulate suitable strategic framework to improve customer experience in the field of culinary tourism. Using real customer experiences as data and choosing thematic analysis as a method of analysis further enhance the worth of study by opening the area for further exploration.

Every seaport with foreign‐going shiping trade has always had its “foreign” quarters; every large city hat had its Oriental traders and services, eg., Chinese laundries, Indian restaurants, Italian restaurants, greengrocers, ice cream and biscuit manufacturers; all of which has meant that foreign foods were not unknown to food inspectors and the general public in its discerning quest for exotic food dishes. It was then largely a matter of stores specially stocking these foods for their few users. Now it is no longer the coming and going of the foreign seaman, the isolated laundry, restaurant, but large tightly knit communities of what have come to be known as the “ethnic minorities”, from the large scale immigration of coloured peoples from the old Empire countries, who have brought their families, industry and above all their food and eating habits with them. Feeding the ethnic minorities has become a large and expanding area within the food industry. There are cities in which large areas have been virtually taken over by the immigrant.