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India has an over-180-million Muslim population, which makes it an ideal marketplace for halal products. However, not much research has been done to understand the opportunities and challenges pertaining to halal business in India. The purpose of this study is to explore and examine how halal products are perceived by the Indian consumer and how these products are creating values for a larger consumer base.

The paper opted for an exploratory study using an inductive approach. To understand the peculiarities of the issue, the authors also used the case-research approach to develop a broader understanding of the topic.

Findings of this study show that the market and consumers are increasingly becoming more aware of halal products in India. Further, the demand for such products is no longer limited to Muslims. Halal products have also become an attractive option for consumers, as they are also addressing safety and environmental concerns. This is an essential factor for a flourishing certification business in India.

A limitation of this study is a quantitative study which could have been conducted to confirm the findings of this research. Further, the sample was limited to participants in the age group of 21-30 years. Older people might share a different perspective on halal products because they are believed to be more experienced and socially conscious. Further, our cases were limited to a certifying agency and cosmetics agencies.

One important implication of this study is that it reaffirms the success of Islamic branding in the India context. Though this research was carried out on a limited scale, it opens up opportunities to examine the halal phenomenon in more detail. Acceptability of halal products among non-Muslims is a sign of growing tolerance among different communities to accept and adopt culture and practices of a different religion in their daily living.

The authors have observed that halal products and Islamic branding as a whole can positively help in reshaping the image of Islam across the globe. Observations such as identifying halal products being eco-friendly reflects the increased sensitivity among the consumers in the developing nations, which were earlier a behavior common among the Westerners.

To the best of the authors’ knowledge, no other study has been done to explore the halal product market and consumers’ perception in the Indian context. This is particularly an important contribution because India is a home for over 180 million Muslims and a marketplace worth trillions of dollars. Further, past research in the area of religious marketing was limited to conceptual papers. This paper is an attempt to re-initiate discussion through empirical studies on Islamic branding in the emerging economies context.

Research analyzing competition and individual carriers' financial condition's influence on pricing behavior in the airline industry are presented in the first part of the book. The initial chapter by Manuel Hernandez, Anirban Sengupta, and Steven Wiggins directly tests whether competition creates a challenge for legacy carriers practicing nonlinear pricing such that passengers are charged different prices for the same flight without cost justification. The authors use transactions level data, which has the advantage of allowing an empirical examination of the effect of Southwest and other LCCs on both the level and structure of fares of legacy carriers. The analysis is performed by defining a menu of airline fare types according to restrictive ticket characteristics to then evaluate the competitive effects of both Southwest and other LCCs, including adjacent and potential competition from Southwest, on the relative pricing behavior of major carriers. Findings suggest that competition from Southwest has an important effect on both the level and fare structure of legacy carriers. In particular, direct and potential competition from Southwest both lower the fare per mile and compress the fare structure by decreasing the premia of the highest fares, including first-class tickets, over the lowest fares. Adjacent competition from Southwest and direct competition from other LCCs only seem to significantly affect the fare level.

Firms with linear pricing offer their customers the same price for each unit of a good or service. Anything else is nonlinear pricing. Nonlinear pricing in imperfect markets indicates a fundamental asymmetry in information between firms and consumers. Consumers are commonly expected to exhibit quality- or quantity-preference differences and have different reservation values for different product attributes. The firms, however, cannot observe consumers' preferences. When complete information regarding preferences is not observable, nonlinear pricing strategies with firms offering a menu or schedule of prices allow consumers to sort themselves according to their own preferences, resulting in market segmentation.

The paper seeks to capture the history of the evolution of modern‐format food and grocery retail in India. Its focus is on the time period from 1971 to 2001.

The research is primarily exploratory in nature. Primary research included depth interviews, focus groups and survey through questionnaire with organized retailers, unorganized retailers, consumers, fast‐moving consumer goods manufacturers, channel members and opinion‐leaders. Secondary research involved a review of the existing literature on Indian retail available at that time.

Emergence of modern retail in India is not just a result of increasing consumer buying power – manufacturers and unorganized retailers also have an important role to play in this process at the macro‐level. At the micro‐level, the trigger came from diverse angles like entrepreneurial desire to provide better service to consumers, social desire to provide relief to the masses in the form of lower prices, desire to capitalize on emerging business opportunities being provided by the changing business environment, etc.

Being an early work in this area, the research was exploratory in nature and tried to understand the role of different stakeholders in emergence of modern retail in India. It does not use any statistical technique to prove or disprove any hypothesis. It is focused on the food and grocery retail business.

The paper provides a historical perspective to academics as well as practitioners.

Service composition phenomenon based on non-scenario aspects are become the latest issues in enterprise software applications of the multi-cloud environment due to the phenomenal increase in a number of Web services. The traditional service composition patterns are hard to support the dynamic, flexible and autonomous service composition in the inter-cloud platform. To address this problem, this paper aims to describe a dynamic service composition framework (SCF) that is enriched with various structural and functional aspects of composition patterns in a cloud computing environment. The proposed methodology helps to integrate various heterogeneous cloud services dynamically to acquire an optimal and novel enterprise solution for delivering the service to the end-users automatically.

SCF and different composition patterns have been used to compose the services present in the inter-cloud architecture of the multi-agent-based system. Further, the proposed dynamic service composition algorithm is illustrated using a hybrid approach, where service are chosen according to various needs of quality of service parameters. Besides, a priority-based service scheduling algorithm is proposed that facilitates the automation of delivering cloud service optimally.

The proposed framework is capable of composing the heterogeneous service and facilitate the structural and functional aspects of service composition process in enterprise cloud-based applications in terms of flexibility, scalability, integrity and dynamicity of the cloud bus. The advantage of the proposed algorithm is that it helps to minimize the execution cost, processing time and get better success rate in delivering the service as per customer’s need.

The novelty of the proposed architecture coordinates cloud participants, automate service discovery pattern, reconfigure scheduled services and focus on aggregating a composite services in inter-cloud environments. Besides, the proposed framework supported several non-functional characteristics such as robustness, flexibility, dynamicity, scalability and reliability of the system.

This research would like to address the issues associated with individual entrepreneurial orientation, which involves entrepreneurial leadership and entrepreneurial ability as the key determinants of MSME growth. It will also explore both mediating and moderating roles of employee motivation and government intervention, respectively during the pandemic situation.

A purposive sampling technique was applied during pilot study and during the final data collection phases. Exploratory Factor Analysis (EFA) was conducted using varimax rotation to reduce a large number of variables into a smaller set of interpretable underlying factors. Further CFA and SEM are respectively applied to examine the psychometric properties of the scales and test the hypotheses of the research model.

The study's findings revealed a favourable association between entrepreneurial orientation, business financing, management, market practices, and MSME growth performance. The results support the notion that government policy plays a significant role as a full moderator.

Although the MSME sector receives government support, its implementation requires a skilled leader who can run the business profitability. The findings support this objective.

This paper seeks to give important insights into one of the understudied but quickly expanding MSME entrepreneurship, and how this environment influences individual entrepreneurial orientation and the formation of entrepreneurial leadership. This opens up a previously unexplored area for fresh insights and future study on enhancing entrepreneurship development research and practice for the MSME sector.

Data envelopment analysis (DEA) has wide applications in the agricultural sector to evaluate the efficiency with crisp input and output data. However, in agricultural production, impreciseness and uncertainty in data are common. As a result, the data obtained from farmers vary. This impreciseness in crisp data can be represented in fuzzy sets. This paper aims to employ a combination of fuzzy data envelopment analysis (FDEA) approach to yield crisp DEA efficiency values by converting the fuzzy DEA model into a linear programming problem and machine learning algorithms for better evaluation and prediction of the variables affecting the farm efficiency.

DEA applications are focused on the use of a common two-step approach to find crucial factors that affect efficiency. It is important to identify impactful variables for minimizing production adversities. In this study, first, FDEA was applied for efficiency estimation and ranking of the paddy growers. Second, the support vector machine (SVM) and random forest (RF) were used for identifying the key leading factors in efficiency prediction.

The proposed research was conducted with 450 paddy growers. In comparison to the general DEA approach, the FDEA model evaluates fuzzy DEA efficiency giving the user the flexibility to measure the performance at different possibility levels.

The use of machine learning applications introduces advanced strategies and important factors influencing agricultural production, which may help future research in farms' performance.

This paper aims to provide a general overview of the international Tsunami warning system mandated by the United Nations, particularly on cataloging past studies and a strategic focus in the Indian Ocean, particularly on the Bay of Bengal region.

Present research assimilates the secondary non-classified data on the Tsunami warning system installed in the Indian Ocean. Qualitative review and exploratory research methodology have been followed to provide a holistic profile of the Tsunami rarly warning system (TEWS) and its role in coastal resilience.

The study finds the need for strategic focus to expand and interlink regional early warning cooperation mechanisms and partnerships to enhance capacities through cooperation and international assistance and mobilize resources necessary to maintain the TEWS in the Indian Ocean region. The enhanced capacity of the TEWS certainly improves the resilience of Indian Ocean coastal communities and infrastructures.

The study is original research and useful for policy planning and regional cooperation on data interlinkages for effective TEWS in the Indian Ocean region.