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The purpose of the present study is to explore the factors affecting young consumers’ purchase intention towards organic food products (OFPs) and gain a comprehensive understanding of the various factors that influence how consumers perceive and respond to organic food. Therefore, this study frames and validates the measurement scale to examine the factors that may impact purchase intention among young consumers in India.

In order to frame and validate the measurement scale for this investigation, sophisticated statistical procedures such as exploratory factor analysis, confirmatory factor analysis and other statistical measures utilizing SPSS v.26 and AMOS v.24 were used. This study utilized 307 samples to investigate.

The main findings of the study show that Indian consumers' intent to buy organic food items is strongly associated with factors such as “warm glow”, “cultural values”, “environmental cognition”, “natural experience”, “food safety concern”, “self-identity” and “environmental ethics”. These factors explained 69.14% of the overall variance in research variables.

The present offers a novel measurement mechanism for exploring the green consumer behaviour. By applying it in real-world settings, marketers will gain insights and develop more effective, targeted strategies to promote OFPs among young Indian consumers.

The study brings together a diverse set of antecedents that have not been collectively analysed in the context of consumer purchase intention for OFPs. The emphasis on environmental ethics, green self-identity and related constructs aligns with the growing global emphasis on sustainability.

The purpose of the study is to examine the factors that influence people's intention to adopt electric vehicles (EVs). The study used an expanded theory of planned behaviour (TPB) along with the addition of perceived trust and consideration of future consequences (CFC).

The study is based on primary data collected from 282 respondents in Punjab through a questionnaire. The collected data were analysed using SPSS 26 and AMOS 24 to perform confirmatory factor analysis and structural equation modelling.

The empirical analysis indicates that attitude, subjective norms and perceived trust have a significant influence on the adoption intention (AI) of EVs.

The implications provide policymakers and marketers with better insights into marketing EVs in the trajectory of sustainable mobility. Marketers should create focussed marketing materials that highlight the environmental ease of use, lower running costs and sophisticated technology of electric automobiles. The limitations of the study provide valuable insights for future researchers.

This is the first study that uses CFC with the TPB model in the context of AI of EVs specifically for the Punjab region.

The case has the following learning objectives: to assess the importance of the business environment, its impact on the organization and how the organization responds to the changes in the business environment; to apply the resource-based view of the organization and resource dependence theory; and to apply and analyze the organization’s strategic initiatives within the framework of the political, economic, social and technological analysis model, Porter’s five forces of business analysis and to make recommendations based on the above analysis.

The paradigm shift in technology has an impact on business. With 155,015 Post Offices, India Post has the most widely distributed postal network in the world. This case captures the journey of India Post from inception to its current form. Over its life, the organization has evolved because of multiple changes. But the recent changes have threatened to disrupt the organization. These changes have been induced by three major forces: technology, the rise of competition, especially foreign players, and social changes in urban and rural India because of changing consumption patterns as incomes rise and online retail grows. The organization has reacted to this threat by leveraging its resources to offer new products according to customer tastes by entering more unique industries and product categories. They have started logistics services in association with Indian railways and started offering retail services such as bill collection and college application forms. Also, they have created a financial division, “Payment Bank.” Thus, they have evolved from being a single entity of postal-related services to various services. The case poses a dilemma if these product diversifications are thriving as the organization’s product portfolio has diversified, given its existing capabilities and ability to create newer capabilities, particularly the payment bank.

The case is ideally suited for the discussion of resource-based view of the firm in the subject strategic management and organizational theory. The case can be used to discuss resource dependence theory as well. It is equally well suited to discuss the impact of environment in business in the subject organization theory and the impact of technology on change in the subject organizational change. The case is meant for MBA. The case can be used for executive audience as well.

Teaching notes are available for educators only.

CSS 11: Strategy.

Patients with chronic obstructive pulmonary disease (COPD) suffer from many health problems including poor sleep. This paper aims to evaluate the relationship between diet quality indices (DQIs) and sleep quality in COPD.

The current cross-sectional study was carried on 121 COPD patients. Subjective quality of sleep was determined by Pittsburgh Sleep Quality Index (PSQI) and categorized into “poor” and “good” sleep quality. Dietary history was assessed by the DQIs. Disease status was categorized according to the Global Initiative for Chronic Obstructive Lung Disease (GOLD) Guidelines.

In total, 103 men and 18 women with a mean age of 66.1 ±10.9 were studied. The subjects were categorized into four groups based on GOLD; 3.3% of subjects were at Stage 1, 38% in Stage 2, 38% in Stage 3 and 20.7% in Stage 4. In total, 38% of subjects were good, and 62% were bad sleepers according to PSQI score. There was no significant relationship between the severity of COPD and PSQI score. We observed a significant inverse relation between PSQI total score and Mediterranean diet (MED) scale, Healthy Eating Index (HEI)-2010 and HEI-2005 (p = 0.024, 0.037 and 0.024, respectively) in males.

This study showed a high prevalence of poor quality of sleep and sleep disturbances among COPD patients. There was an inverse association between PSQI and sleep disorders and DQIs scores in COPD patients. Regardless of the severity of airflow obstruction, poor diet quality may constitute a risk factor for sleep quality.

Loyalty among customers is the baseline for services to use to grow and sustain their competitive advantage, particularly in the banking industry. There are two primary objectives of this research. First, this study aims to empirically test the Muslim Consumer Service Quality (MCSQ). Second, this study aims to test the mediating effect of Muslim Consumer Satisfaction (MCS) on the relationship between MCSQ and Muslim Consumer Loyalty (MCL) in Indonesian Islamic banks.

The proposed hypotheses were tested by collecting data from 280 Indonesian Islamic customers. The collected data were tested using PLS-Graph 3.0.

The findings indicate that MCSQ (consisting of Islamic values, Sharia compliance, honesty, modesty, humaneness and trustworthiness) positively influenced MCS and MCL significantly. Further, the results indicate that MCS partially mediates the influence of MCSQ on MCL.

The data were mainly gathered in Indonesia and the model needs to be tested in other contexts. Furthermore, the questionnaire was distributed among the customers of Islamic banks, and future studies could compare it with the customers of conventional banks or dual account (Islamic and conventional bank) customers. Moreover, further studies should compare between the expectations and reality of the delivered services to understand the service quality gap, which this study did not measure.

The findings indicate that by measuring the service quality in the Islamic context of Islamic banks, such as MCSQ, the managers can design their services to specifically target their Muslim customers. Furthermore, customer satisfaction must be the focus for the bank’s managers when developing MCSQ to close the gap between the expectations and reality of the delivered services.

This study empirically tests the developed MCSQ in the context of Indonesian Islamic banks, which is expected to enrich the literature of service marketing. Furthermore, a partial mediation effect of MCS was identified on the influence of MCSQ on MCL, which few studies have discussed previously.

The study aims to study the extent of research done in luxury marketing in an emerging economy like India by conducting a bibliometric analysis. A period of 21 years has been considered to present a comprehensive picture for results and analysis. Key findings indicate the gaps and scope of further research for academics in India and abroad. The findings indicate a dearth of research by scholars and academicians in luxury, counterfeit and masstige, especially when there is a surge of the upper middle class in India. More specifically, Indian-grown luxury brands also present a massive scope for future research.

The purpose of this study is to examine the socio-economic inequalities that exist in the use of unhygienic menstrual practices in India and its states, as well as to identify the contribution of various socio-economic factors that leads to these inequalities.

Data from the National Family Health Survey-5 (2019–21) for 240,285 menstruating women aged 15–24 years is used to examine the above objectives. The concentration index for unhygienic menstrual practices is calculated to measure the socio-economic inequalities, which are then decomposed into their determining factors.

The state of Punjab experiencing the highest level of economic inequality, followed by Telangana and Haryana. The results from decomposition analysis suggest that rural residence (13%), illiteracy (7%), poor economic status (53%), not reading newspaper (12%) and not watching TV (14%) contribute 99% to the total socio-economic inequality in using unhygienic menstrual practices in India. The contribution of economic status to total inequalities is more in all the states except for Kerala and Mizoram, where caste and residence play an important role.

This paper signifies the role of economic inequality in the use of unhygienic menstrual practices in India as well as the contribution of various socio-economic factors contributing towards these inequalities. The results from decomposition analysis suggest the need for unique health intervention strategies for different states following the evidence of major contributions to total inequalities in the use of unhygienic menstrual practices.

The purpose of this paper is to report the design of a lightweight tree-shaped support structure for fused deposition modeling (FDM) three-dimensional (3D) printed models when the printing path is considered as a constraint.

A hybrid of genetic algorithm (GA) and particle swarm optimization (PSO) is proposed to address the topology optimization of the tree-shaped support structures, where GA optimizes the topologies of the trees and PSO optimizes the geometry of a fixed tree-topology. Creatively, this study transforms each tree into an approximate binary tree such that GA can be applied to evolve its topology efficiently. Unlike FEM-based methods, the growth of tree branches is based on a large set of FDM 3D printing experiments.

The hybrid of GA and PSO is effective in reducing the volume of the tree supports. It is shown that the results of the proposed method lead to up to 46.71% material savings in comparison with the state-of-the-art approaches.

The proposed approach requires a large number of printing experiments to determine the function of the yield length of a branch in terms of a set of critical parameters. For brevity, one can print a small set of tree branches (e.g. 30) on a single platform and evaluate the function, which can be used all the time after that. The steps of GA for topology optimization and those of PSO for geometry optimization are presented in detail.

The proposed approach is useful for the designers and manufacturers to save materials and printing time in fabricating complex models using the FDM technique. It can be adapted to the design of support structures for other additive manufacturing techniques such as Stereolithography and selective laser melting.

Two-level support with Level 1 consisting of a set of beams and Level 2 consisting of a tree-like structure is an efficient support structure for extrusion-based additive manufacturing (EBAM). However, the literature for finding a slim two-level support is rare. The purpose of this paper is to design a lightweight two-level support structure for EBAM.

To efficiently solve the problem, the lightweight design problem is split into two subproblems: finding a slim Level 1 support and a slim Level 2 support. To solve these two subproblems, this paper develops three efficient metaheuristic algorithms, i.e. genetic algorithm (GA), genetic programming (GP) and particle swarm optimization (PSO). They are problem-independent and are powerful in global search. For the first subproblem, considering the path direction is a critical factor influencing the layout of Level 1 support, this paper solves it by splitting the overhang region into a set of subregions, and determining the path direction (vertical or horizontal) in each subregion using GA. For the second subproblem, a hybrid of two metaheuristic algorithms is proposed: the GP manipulates the topologies of the tree support, while the PSO optimizes the position of nodes and the diameter of tree branches. In particular, each chromosome is encoded as a single virtual tree for GP to make it easy to manipulate Crossover and Mutation. Furthermore, a local strategy of geometric search is designed to help the hybrid algorithm reach a better result.

Simulation results show that the proposed method is preferred over the existing method: it saves the materials of the two-level support up to 26.34%, the materials of the Level 1 support up to 6.62% and the materials of the Level 2 support up to 37.93%. The proposed local strategy of geometric search can further improve the hybrid algorithm, saving up to 17.88% of Level 2 support materials.

The proposed approach for sliming Level 1 support requires the overhanging region to be a rectilinear polygon and the path direction in a subregion to be vertical or horizontal. This limitation limits the further material savings of the Level 1 support. In future research, the proposed approach can be extended to handle an arbitrary overhang region, each with several choices of path directions.

The details of how to integrate the proposed algorithm into the open-source program CuraEngine 4.13.0 is presented. This is helpful for the designers and manufacturers to practice on their own 3D printers.

The path planning of the overhang is a critical factor influencing the distribution of supporting points and will thus influence the shape of the support structure. Different from existing approaches that use single path directions, the proposed method optimizes the volume of the support structure by planning hybrid paths of the overhangs.