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Entrepreneurship; Strategy.

The case is meant for Undergraduate and Postgraduate students pursuing entrepreneurship and management with specializations in strategy. It can be also used for Entrepreneurship and Management Development programs for generating an insight into strategic planning, organic growth of enterprise and the formulation of a future road map. The case can be used in courses like “strategic management”, “female entrepreneurship” and specialization courses like “Start-up: Ideation, Launching, Managing and Growth”.

Simran Sahni and Sachin Sahni, the owner and co-founders of health, beauty and slimming center are currently running centers in Lucknow and Ludhiana. Although as of now there is no operational franchisee provided by Health Zone in any of the other cities across the country, the owners have a vision to open around 100 franchised and company owned centers across the country. At this juncture, both the co-founders, who also happen to be husband and wife, look forward to understanding and revisiting the operations and strategies at Health Zone to formulate the road map for the future.

The participants will be able to identify key challenges for service organizations and will learn ways to meet these challenges. The participants will be able to identify motivation and retention strategies applied by the co-owners in their organization. The participants will be able to have an insight on the key elements of the Business Model of a service organization based in the wellness industry. The participants will be able to analyze the opportunities available for new startups in the wellness industry drawing their conclusions from experiences and business development and expansion of Health Zone in its overall journey. Participants will be able to devise models for the enterprise so as to help it grow and expand its operations nationally.

Teaching notes are available for educators only. Please contact your library to gain login details or email support@emeraldinsight.com to request teaching notes.

CSS 3: Entrepreneurship.

This study aims to explore the intricate relationship between uncertainty indicators and volatility of commodity futures, with a specific focus on agriculture and energy sectors.

The authors analyse the volatility of Indian agriculture and energy futures using the GARCH-MIDAS model, taking into account different types of uncertainty factors. The evaluation of out-sample predictive capability involves the application of out-sample R-squared test and computation of various loss functions.

The research outcomes underscore the significant impact of diverse uncertainty factors such as domestic economic policy uncertainty (EPU), global EPU (GEPU), US EPU and geopolitical risk (GPR) on long-run volatility of Indian energy and agriculture (agri) futures. Additionally, the study demonstrates that GPR exhibits superior predictive capability for crude oil futures volatility, while domestic EPU stands out as an effective predictor for agri futures, particularly castor seed and guar gum.

The study offers practical implications for market participants and policymakers to adopt a comprehensive perspective, incorporating diverse uncertainty factors, for informed decision-making and effective risk management in commodity markets.

The research makes an inaugural attempt to examine the impact of domestic and global uncertainty indicators on modelling and predicting volatility in energy and agri futures. The distinctive feature of considering an emerging market also adds a novel dimension to the research landscape.

This chapter investigates pandemic impact in a variety of industries, including food, travel, education and pharmaceuticals, considering elements such as isolation, emotions and social influences, which can lead to panic buying. The goal of this research is to ascertain how COVID-19 influences the buying decisions of customers. Additionally, the study aims to identify consumer consumption trends for a spectrum of products and services, including fast-moving consumer goods (FMCGs), entertainment, pharmaceuticals, travel and tourism. A comprehensive review of different research papers is done to conclude. The papers considered are from 2020 to 2022. Different keywords are used to search the relevant papers such as ‘pandemic’, ‘COVID-19’, ‘behaviour’, ‘impulsive’, etc. TCCM framework has been applied while reviewing the articles. During the isolation, consumer behaviour moved to panic buying and stockpiling, favouring organic basics, and encouraging e-commerce, as well as economic nationalism favouring made-in-India products. This study helps in knowing the reasons for change in consumers' behaviour for different products and services due to unforeseeable situations like COVID-19 and can find possible ways to deal with them. Business owners learn about changing consumer purchasing behaviours and how to modify products. The government can change policies to improve medical tourism and social protection.

This paper aims to explore how scholarly apps are changing the landscape of academic research by increasing mobility, accessibility and user engagement. It assesses the role of mobile-based applications in supporting research activities, enabling access to scholarly content and facilitating seamless communication between researchers and libraries.

A brief content analysis of prominent scholarly apps was performed to evaluate their prime features and usability.

Scholarly apps improve research mobility by offering on-the-go access to academic resources, databases, communication tools, personalized content recommendations and integrated automated citation tools. The integration of AI and machine learning into these apps holds potential for further personalizing and streamlining research processes.

Although certain discussed mobile apps are well known and frequently used by users, their value in the field of mobile technology remains significant. Despite their vast popularity, these apps continue to play a significant part in the mobile app ecosystem due to their proven efficacy, widespread acceptance and continuous relevance in meeting user demands.

To the best of the authors’ knowledge, this is one of the first studies to comprehensively evaluate the scholarly apps and contributes to the literature on mobile-based library services.

This paper aims to investigate the effect of economic policy uncertainty (EPU) shocks on Indian equity market sectors. The effect of domestic (Indian) and foreign (USA) EPU shocks is examined on ten major Bombay Stock Exchange sectors.

The study uses data covering the period from September 2005 to July 2023 and uses the methodology of quantile regression to investigate the heterogenous response of stock market sectors under diverse market conditions explained through the analysis of conditional quantiles distribution.

The results demonstrate that domestic and foreign EPU shocks negatively affect most of the sectors in bearish market conditions. Industrials, commodities, utilities, consumer discretionary and financial services are the most affected sectors by domestic EPU. However, the information technology sector is found to be immune to domestic EPU shocks but negatively affected by foreign EPU shocks. On the other hand, energy, financial services and fast-moving consumer goods sectors are found to be immune to foreign EPU shocks but are negatively affected by domestic EPU shocks.

Understanding the heterogeneous response of different sectors to EPU shocks could help investors and portfolio managers identify portfolio diversification opportunities.

This study makes an inaugural attempt to examine the responses of Indian stock market sectors to domestic and foreign EPU shocks using the approach of quantile regression and unveils the previously unexamined diverse reactions of Indian stock market sectors to EPU shocks originating from both India and USA.

This research investigates how religion uniquely influences consumer behaviour by exploring the dynamics when a brand transgression violates a religious norm. Specifically, the study focusses on the Halal consumption context, where brand transgression involves a breach of trust in Halal-certified brands. We draw upon assimilation contrast effects theory and institutional theory to examine customer responses following a religion-related transgression and identify effective recovery strategies in this unique context.

We employed three scenario-based experiments to examine Muslim consumers’ responses following a transgression involving a Halal-certified brand. Study 1 examines the impact of a religion-related brand transgression on brand trust and behavioural intentions (relative to general brand transgression). In Study 2 and Study 3, we draw on institutional theory to highlight institutional actors’ role in influencing consumer behaviour in religion-related transgression.

Study 1 revealed that trust and behavioural intentions were significantly lower following a religion-related brand transgression compared to a general brand transgression. Further insights from Studies 2 and 3 highlighted the role of institutions in improving consumer trust and behavioural intentions after a religion-related brand transgression.

This research examines brand transgressions within sacred consumption, emphasising the unique triadic relationship involving consumers, brands and “The Sacred.” Unlike previous studies that predominantly address competency-based violations, this study extends beyond the conventional dyadic consumer-brand perspective to understand how brands can recover when a sacred relationship is breached. By bridging sacred consumption and institutional theory, this study offers novel insights, highlighting the importance of engaging religious gatekeepers in brand recovery efforts to restore trust and legitimacy.

This study aims to explore the impact of social media influencers' (SMIs) intimate self-disclosure on consumers' purchase intentions, with a focus on the role of parasocial relationships and congruence among the influencer, product and consumer. The study finds its theoretical foundation in parasocial theory and self-congruency theory.

This study employs a quantitative approach, utilizing a sample of 232 collected survey responses. The proposed hypotheses are evaluated using partial least squares structural equation modeling (PLS-SEM).

Contrary to initial assumptions, the study reveals that parasocial relationships do not mediate the link between SMIs' intimate self-disclosure and purchase intentions. However, an interesting moderating effect was discovered: the congruence between the consumer and the influencer influences the relationship between SMIs' intimate self-disclosure and parasocial relationships, and subsequently, between parasocial relationships and purchase intentions.

This study brings fresh insights by pinpointing a boundary condition that dictates the influence of SMIs' intimate self-disclosure on purchase intentions via parasocial relationships. In doing so, this study provides a novel perspective in understanding the dynamics between SMIs and consumers in the rapidly evolving marketing landscape.

Altmetric carries the potential of highlighting scholarly content by measuring online interactions much before other forms of traditional metrics grow up. The aim of this paper is to be the single point of access for librarians, scientists, information specialists, researchers and other scholars in public to learn to embed the open-source embeddable badge provided by Altmetric in their websites and showcase their article altmetrics. Libraries can take advantage of this free and innovative tool by incorporating it in their own websites or digital repositories.

This paper elucidates steps for embedding altimetric institutional repository badges in personal websites or institutional repositories.

This open-source Altmetric tool tracks a range of sources to catch and collect the scholarly activity and assists in monitoring and reporting the attention surrounding an author’s work in a very timely manner.

This tool is freely available to libraries worldwide.

The porous bearings are commonly used in slider thrust bearings owing to their self-lubricating properties and cost effectiveness as compared to conventional hydrodynamic bearings. The purpose of this paper is to numerically investigate usefulness of porous layer in hydrostatic thrust bearing operating with magnetic fluid. The effect of magnetic field and permeability has been analysed on steady-state (film pressure, film reaction and lubricant flow rate) and rotor-dynamic (stiffness and damping) parameters of bearing.

Finite element approach is used to obtain numerical solution of flow governing equations (Magneto-hydrodynamics Reynolds equation, Darcy law and capillary equation) for computing abovementioned performance indices. Finite element method formulation converts elliptical Reynolds equation into set of algebraic equation that are solved using Gauss–Seidel method.

It has been reported that porosity has limited but adverse effects on performance parameters of bearing. The adverse effects of porosity can be minimized by using a circular pocket for achieving better steady-state response and an annular/elliptical pocket, for having better rotor-dynamic response. The use of magnetic fluid is found to be substantially enhancing the fluid film reaction (53%) and damping parameters (55%).

The present work recommends use of circular pocket for achieving better steady-state performance indices. However, annular and elliptical pockets should be preferred, when design criteria for the bearing are better rotor-dynamic performance.

This study deals with influence of magnetic fluid, porosity and pocket shape on rotor-dynamic performance of externally pressurized thrust bearing.

The peer review history for this article is available at: https://publons.com/publon/10.1108/ILT-07-2020-0289/

User review is a significant component of mobile app markets such as the Google Play Store, App Store, Microsoft Store and others. Users submit their reviews for downloaded apps on these sites in the form of star ratings and text reviews. Apps can contain huge volumes of feedback, making it difficult for the user and the developer to skim through thousands of such reviews to get an insight into usage and impact of such apps. Thus, the current study aims to assess the usage and satisfaction among users of the Mendeley’s Android app vs iOS app.

The analytics are performed by using Appbot analytics software which captured, monitored, measured and analyzed the review results for a particular period. Appbot provides easy-to-understand insights of an app using artificial intelligence algorithm tools.

The findings of the study reveal strong inclination, adoption and usage of Mendeley’s Android app compared to that of iOS among users.

The value of this research is in getting an insight of the pattern/behavior of users towards using apps on different platforms (Android vs iOS) and provides valuable results for the app developers in monitoring usage and enhancing features for the satisfaction of users. Without mobile app analytics, one will be blindly trying out different things without any evidence to back up their experiments.