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This case study is designed to enable learners to narrow and identify the right customer subset in relation to a handicraft organization. After completion of the case study, the students will be able to integrate advanced frameworks for outlining the importance of product features in context to Indian handicrafts, to link the implications of product attributes as a differentiation strategy, to articulate the appropriate strategies for customer retention and to critically simulate the adoption of niche marketing imperative when making a decision to scale the business.

Design Clinic India was a globally renowned, multi-disciplinary design studio specializing in exquisite furniture and decorative lights, deeply rooted in the rich tapestry of the emerging economy of India. It was founded in 2016 by the visionary Mr Parth Parikh, a master of product design hailing from New Delhi, India. The brand firmly believed that the vibrant essence of each creation portrayed the cultural diversity of the nation. During the formative years, the brand witnessed exceptional momentum in the sales figures. However, over the time, sales started depriving and Parikh feared the survival of his business. In the first place, he was confounded with the dilemma of how to retain customers in the long run, and how to keep his business in pace. Furthermore, he also faced a tough competition from the market in terms of differentiating his authentic products from the cheap replicas of his brand’s designs to streak ahead in the market space. It became challenging for companies to align their creative vision with market realities and customer expectations while also creating a balance between innovation and commercial viability. As a passionate entrepreneur, Parikh had to think a way out for the finest strategy for his label!

This case study comprises of conceptual schemes in context to product features, aesthetics and marketing of handicrafts. It can be used in advanced business courses, particularly in the fields of entrepreneurship, marketing, strategic management, decision-making and business planning. This case study can also address the separate components of niche marketing, customer retention and export of Indian handicrafts. For the aspect of niche marketing, the context from the textbook titled “Marketing Management” by Kotler et al. would be required (pp. 201–203). For product features, the latest edition of the textbook titled “Marketing” by Etzel et al., can be used (particularly, the material from pp. 277–281). Furthermore, the case can also be used in various capstone courses falling under the chapters of small businesses and differentiation strategy.

Teaching notes are available for educators only.

CSS 11: Strategy.

The chapter's scope focuses on examining the manufacturing and consumption practices of plastic-related materials, which are nature-resistant and do not decompose quickly, and the efforts of formal institutions to encourage the recycling of these materials for the environmental sustainability of the metropolis. The chapter examined how effective recycling policies have been in enabling the reuse of plastics and related materials and their effects on the environment. This chapter uses the green theory as a theoretical approach to explain the relationship between man and the environment. The chapter employed a qualitative approach to research with reliance on secondary sources of data. This chapter's findings revealed that while policies are geared towards improving the recycling culture in Lagos, Nigeria, those policies needed to be adequately enacted by the government with the appropriate structure to enable them to achieve the stated objectives, thus rendering them ineffective. In this chapter, recommendation centers, amongst others, that the government of Lagos state, Nigeria, should adopt extended producer responsibility (EPR) to hold manufacturers and importers accountable for the product's life cycle and invest in quality public–private partnerships (PPPs) in recycling to ensure environmental sustainability of the metropolis.

This study explored the effects of incorporating RA into geopolymer concrete, particularly examining its performance under ambient and elevated temperatures ranging from ambient temperature to 700°C.

The current study incorporates RA to replace conventional aggregates in the mix, with replacement levels ranging from 0 to 50%. Each mix designation is identified by a unique ID: RA0, RA10, RA20, RA30, RA40 and RA50, representing the percentage of RA used. The alkaline-to-binder ratio adopted for this study is 0.43.

The compressive strength starts at 50.51 MPa for 0% RA and decreases to 39.12 MPa for 50% RA after 28 days. It is highest with 0% RA and diminishes as the RA content increases. All mixes show a slight increase in compressive strength when heated to 100°C. However, the compressive strength starts to decrease for all mixes at 300°C. At 700°C, there is a drastic drop in compressive strength for all mixes, indicating significant structural degradation at this temperature.

The study evaluates the qualitative impact of RA on the properties of geopolymer concrete when exposed to severe temperatures. The experimental setup included several tests to assess the concrete mixes' mechanical properties and responses. Specifically, the researchers conducted compressive, flexural and split tensile strength tests.

In the recent few decades, there has been a rampant increase in the demand of sustainable food products around the world because of high cognizance of consumers toward environment and health. Asian countries, especially India and China, are also expecting a tremendous boost in the domestic demand for organic food products in the upcoming few years. Therefore, it becomes pertinent to explore the factors affecting the purchase intention behavior of organic food items, especially in emerging economies, i.e. India. Hence, the paper aims to explore the factors driving the purchase decision of organic consumers by collecting data set from 603 organic food item consumers in India.

The study has applied advanced statistical tools, i.e. structural equation modeling, Harman’s single factor test and other statistical measures, to analyze the collected research data.

The results posit that consumers’ purchase intention has a favorable impact on health aspects; trustworthiness; social innovativeness; functional value; subjective norms and organic product knowledge. Moreover, the result explicates that health consciousness and trustworthiness are vital predictors of organic food purchase intention.

The findings may assist the producers, processors, marketers, policymakers and regulators in devising appropriate policies and strategies for comprehending the complex phenomenon of organic consumers’ purchase behavior.

To the best of the authors’ knowledge, this is the first study to explore the drivers of purchase intention of organic food items by collecting data from well-defined consumers of organic food items in India.

This study aims to investigate the determinants of GST_efficiency of the Indian states to assist the policymakers, government and GST council to devise their policies and strategies to boost the GST_efficiency of the Indian states.

The analysis has used the panel data set of 27 Indian states and 3 UTs with a time span of 2017–18 to 2022–23. The study has used the Generalized Method of Moment regression for exploring the determinants of GST_efficiency of the state governments in India.

The findings depict that sectoral composition, inflation rate, financial development, state’s self-reliance, per capita income and gross fiscal deficit have a significant effect on GST_efficiency of the state governments. The findings support the Tanzi effect 1977 and claim that the rise in the inflation level erodes GST_efficiency of the state governments. The rise in the self-reliance of the state government will make the Indian states self-dependent and will reduce their reliance on central transfers.

The government should make efforts to make the Indian states self-reliant by increasing the share of OTR (Own Tax Revenue) instead of increasing their revenue efficiency in short-run through devolution and central transfers. Moreover, the Indian government should devise their macro-economic policies to curb the inflation level and gross fiscal deficit of the state governments in the country.

To the best of the authors’ knowledge, this may be the first study to explore the determinants of GST_efficiency of the state governments in India.

The Indian government is grappling in generating sufficient revenue resources through taxation to meet their expenditure on public goods and services. Therefore, the government authorities must possess adequate information on factors affecting the taxation revenue of the country to craft and execute policies effectively. Hence, this study endeavors to explore the determinants of tax revenue by incorporating conventional, economic policy and institutional factors.

The study employed the Auto Regressive Distributed Lag (ARDL) modeling by using the data set from 1991 to 2022 according to the availability of the data.

The findings illustrate that trade openness, life expectancy, value added by the manufacturing sector and per capita GDP (Gross domestic Product) positively affect the tax efforts of the government in the conventional determinants. Similarly, in economic policy factors, the financial deepening also exhibits a favorable effect. Conversely, the inflation rate positively boosts the tax efforts in the short run, but it ultimately erodes the tax effort of the government in the long run. In the institutional factors, the official development assistance also illustrates a positive effect.

The findings assert that the Indian government should devise better macro-economic and foreign trade policies with expediting the economic restructuring and bolstering their ability to manage and utilize the foreign aid assistance to boost the tax revenue of the country.

To the authors’ knowledge, this is the first study to incorporate these factors in the Indian context.

The peer review history for this article is available at: https://publons.com/publon/10.1108/IJSE-04-2024-0314

The additive manufacturing process, such as fused filament fabrication based on material extrusion, fabricates the samples layer-by-layer. The various parameters in the process significantly affect the dimensions, structure and mechanical properties of the fabricated parts. The purpose of this paper is to investigate the surface and mechanical properties that can affect the contact characteristics with other materials during tribological tests.

The investigation of 3D-printed Polyetheretherketone (PEEK) includes the measurement of dimensions, microhardness, surface roughness, surface energy and tensile strength to define material characteristics. The crystallinity is measured using an X-ray diffractometer to understand the hardness behaviour.

The printing parameters affect its surface roughness, hardness and crystallinity. This change in parameters such as layer thickness and infill density impacts mechanical properties such as hardness and surface roughness, which will influence the contact mechanism with the counter body during any tribological test. The change in a single parameter during the sample fabrication and the change in the surface and mechanical properties are observed.

The material cost plays an important role in conducting numerous destructive tests, which is a major limitation to conducting parameter optimisation by varying more parameters. The study is limited to the as-fabricated samples rather than finished samples and without any heat treatment. Achieving optimal parameters is integral to the success of additive manufacturing, ensuring the production of components with consistent performance.

The study aims at the application of 3D-printed PEEK for bush or journal bearings that can be directly used in practice. The mechanical properties discussed in this paper can fill the gap between theory and practice.

The research provides all fundamental properties, including the printing parameters and their effect on the dimensions and surface structure, which are required to understand the material and its use. The results are consistent as at least four samples were tested for tribological behaviour. The conclusion is updated as per suggestions.

The study outlines the relationship between the change in layer thickness and infill density with changes in surface energy, surface roughness, hardness and tensile strength. The deformation and adhesion during the friction test depend on these properties.

This study aims to investigate the causal relationships among environmental, social and governance reporting (ESGR), stakeholder sustainability awareness, use of artificial intelligence (AI), sustainability culture, innovation performance and climate resilience of organizations across diverse sectors in Sri Lanka.

A survey was conducted among 327 respondents, including senior accounting professionals, operations managers and functional heads to gather company-level data in various industries in Sri Lanka. A disjoint two-stage approach validated the measurement model, and the partial least squares structural equation model (SEM) was used to test the proposed hypotheses.

The analysis evidences the mediating role of stakeholders' sustainability awareness on the relationship between ESGR and sustainability culture. Furthermore, it emphasizes the role of sustainability culture in driving climate resilience. Innovation performance acts as a moderator, strengthening the relationship between the use of AI and sustainability culture.

The study suggests that organizations should strategically use ESGR, integrate AI and prioritize stakeholder engagement to strengthen their commitment to sustainability. These provide insight for decision-making in organizations seeking to align with sustainable business practices.

It explores the use of AI to enhance ESGR and sustainability culture, providing a broader understanding of how organizations manage AI and stakeholders in sustainability issues.

To investigate the mechanical properties of geopolymer concrete at elevated temperatures.

The investigation involved studying the influence of partially replacing fly ash with ground granulated blast furnace slag (GGBS) at different proportions (5%, 10%, 15%, 20% and 25%) on the composition of the geopolymer. This approach aimed to examine how the addition of GGBS impacts the properties of the geopolymer material. The chemical NaOH was purchased from the local supplier of Jamshedpur. The alkali solution was prepared with a concentration of 12 M NaOH to produce the concrete. After several trials, the alkaline-to-binder ratio was determined to be 0.43.

The compressive strength values at 28 days for specimens FG1, FG2, FG3, FG4 and FG5 are 35.42 MPa, 41.26 MPa, 44.79 MPa, 50.51 MPa and 46.33 MPa, respectively. The flexural strength values at 28 days for specimens FG1, FG2, FG3, FG4 and FG5 are 5.31 MPa, 5.64 MPa, 6.12 MPa, 7.15 MPa and 6.48 MPa, respectively. The split tensile strength values at 28 days for specimens FG1, FG2, FG3, FG4 and FG5 are 2.82 MPa, 2.95 MPa, 3.14 MPa, 3.52 MPa and 3.31 MPa, respectively.

This approach allows for the examination of how the addition of GGBS affects the properties of the geopolymer material. Four different temperature levels were chosen for analysis: 100 °C, 300 °C, 500 °C and 700 °C. By subjecting the geopolymer samples to these elevated temperatures, the study aimed to observe any changes in their mechanical.