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The case concerns strategy.

This study is applicable to information system, development sector and application of technology in development sector.

Krutika Terracotta Unit is a small unit located in Bhubaneswar, Odisha (India), owned by Mr Tarun Tapan Sahoo. The organization product portfolio varies from decorative statues, pots and vessel to customized products demanded by customers. Organization is also involved in training and renting the products for traditional fairs, marriages and religious ceremony in Bhubaneswar along with order sales. The case attempts to get a close picture of the industry. The exercise of developing the vision, mission, and goals for the organization was carried out and an attempt was made to align the information system with the business objectives even though the organization does not have a very structured organogram. Using BIS will surely reduce manual work and will give qualitative output. There will be lesser hassles in management. The defined and integrated approach will also help in taking strategic decisions well. The objective is to develop and apply well-structured BIS which can be integrated with the existing system so as to develop the terracotta organization in terms of reachability and profit-making with better decision-making capacity.

To learn about the business model of a handicraft marketing organization; to learn about the processes involved in traditional art form of Terracotta; to go through the exercise of creating vision, mission, goals of the organization through mutual discussion and expectation of owner; to determine how BIS helps in achieving higher productivity in Krutika Terracotta Unit; and to get an idea about how NPV calculation and social ROI should be measured for finding feasibility of technology investment.

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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.

The aim of this study is to investigate and clarify how the triple helix actors can effectively implement the concepts of Kaizen to navigate and overcome the complex obstacles brought on by the global COVID-19 pandemic.

Through broad literature reviews, nine common parameters under triple helix actor have been recognized. A regression analysis has been done to study how the triple helix actors’ common parameters impact Kaizen implementation in business operations.

The results of this study revealed insightful patterns in the relationships between the common parameters of triple helix actor and the dependent variables. Notably, the results also showed that leadership commitment (LC) emerges as a very significant component, having a big impact on employee engagement as well as organizational performance.

In addition to offering valuable insights, this study has limitations including the potential for response bias in survey data and the focus on a specific set of common parameters, which may not encompass the entirety of factors influencing Kaizen implementation within the triple helix framework during the pandemic.

The originality of this study lies in its comprehensive exploration of the interplay between triple helix actors and Kaizen principles in addressing COVID-19 challenges. By identifying and analyzing nine specific common parameters, the study provides a novel framework for understanding how triple helix actors collaboratively enhance organizational performance and employee engagement during challenging times.

The purpose of this study was to optimize meat slices for processing attributes to produce better sensory features in developed products from buffalo veal and chevon. The processing parameters such as meat particle size, fat content and binding ability without chopping were the subject of this study.

The study involved three experiments where the particle size, fat content and tumbling time were optimized for optimum binding and improvement in different sensory attributes of product followed by physico-chemical analysis.

The sensory scores clearly indicated that meat slices prepared from 3 mm meat particle size, 10% fat content and 1 h tumbling time were having best sensory features. The selected product was analyzed for different physico-chemical properties. Emulsion stability and cooking yield revealed significantly (p = 0.01) higher values of 91.6% and 89.7%, respectively, in buffalo veal than in values of 87.6% and 84.9%, respectively, in the chevon product. Similarly the results showed that buffalo veal slices had significantly (p = 0.01) higher (17.4%) protein than the chevon (15.2%), whereas chevon slices had significantly (p = 0.01) higher (10.3%) fat content. The texture profile analysis indicated that cohesiveness (p = 0.01) and chewiness (p = 0.05) were significantly higher in chevon product than in buffalo veal.

The study was conducted to explore the buffalo veal as a potential source of quality meat, as majority of buffalo meat produced in India from spent animals have compromised quality attributes. The comparison was done with chevon, the most popular red meat in the country for the comparative study.

Additive manufacturing (AM) is expected to significantly transform the operations in manufacturing sector. It is also proposed to have optimistic applications in the medical supply chains (SC). However, its adoption in medical sector is faced with a range of barriers. Motivated by the need to establish an AM-based medical SC in a developing economy, the present paper analyses the potential barriers that would hinder the adoption of AM in medical SC.

Based on an extensive literature review and expert discussions, 12 significant barriers have been identified, which are analysed using an integrated interpretive structural modelling–analytical network process (ISM–ANP) methodology. An interrelationship between these barriers using ISM has been analysed to determine the driving-dependence power of these barriers using MICMAC (Matrice d' Impacts Croises-Multiplication Applique' e a' Classement) analysis. The barriers are then ranked using the ANP approach.

It has been focussed that the non-availability of a variety of materials, lack of education and training to designers and workers and production technology limitation are the most critical barriers. The results suggest that the managers should give greater significance to the technological and organizational barriers.

An approach to overcome these barriers can help the managers and organizations to develop successful AM-based SCs. The study is the first to identify and analyse the barriers for successful adoption of AM in medical SC context.

The purpose of this study is to investigate the reflection of plane waves in a double-porosity (DP) thermoelastic medium.

To derive the theoretical formulas for elastic wave propagation velocities through the potential decomposition of wave-governing equations. The boundary conditions have been designed to incorporate the unique characteristics of the surface pores, whether they are open or sealed. This approach provides a more accurate and realistic mathematical interpretation of the situation that would be encountered in the field. The reflection coefficients are obtained through a linear system of equations, which is solved using the Gauss elimination method.

The solutions obtained from the governing equations reveal the presence of five inhomogeneous plane waves, consisting of four coupled longitudinal waves and a single transverse wave. The energy ratios of reflected waves are determined for both open and sealed pores on the stress-free, the thermally insulated surface of DP thermoelastic medium. In addition, the energy ratios are compared for the cases of a DP medium and a DP thermoelastic medium.

A numerical example is considered to investigate the effect of fluid type in inclusions, temperature and inhomogeneity on phase velocities and attenuation coefficients as a function of frequency. Finally, a sensitivity analysis is performed graphically to observe the effect of the various parameters on propagation characteristics, such as propagation/attenuation directions, phase shifts and energy ratios as a function of incident direction in double-porosity thermoelasticity medium.

The study aims to investigate the consumers' adoption of battery electric vehicles (BEVs) using socio-cognitive perceptions and socio-demographic moderators in an emerging sustainable mobility market.

The conceptual model is analyzed via path analysis using online survey data collected from Indian respondents.

The findings substantiate to a greater extent the linkage of social-cognitive perceptions-attitude-intention with the moderation of socio-demographic variables and mediation of attitude towards BEV.

The study advocates several interesting theoretical and policy implications offering guidance to academics, policymakers and corporate professionals to encourage the adoption of BEVs in the milieu of the budding transportation industry.

The study is built upon a social-psychological linkage framework of ‘perceptions-attitude-intention’. Previous studies have overlooked the impact of social-psychological attributes and the socio-demographic moderators in envisaging the adoption of BEV, which largely remained understudied in the Indian backdrop.

This paper aims to examine the relationships among two distinct yet interconnected forms of value orientations, namely, terminal and instrumental values, brand consciousness and behavioral intentions. This study validated the conceptual model for branded fashion apparel consumption in an emerging market, e.g. India.

The research design followed a two-step approach to test the measurement and structural models for partial least squares structural equation modeling with SmartPLS (v.3.0) as recommended by Anderson and Gerbing (1988).

The results illustrated that both the instrumental and terminal values influence brand consciousness and, consequently, brand consciousness had an impact on behavioral intentions for fashion apparel consumption. Instrumental values had a greater influence on brand consciousness and behavioral intentions than terminal values. Brand consciousness mediated the relationship between instrumental/terminal values and behavioral intentions.

This study defined two value orientations (i.e. instrumental versus terminal) using cross-sectional data from an emerging market. Future studies may examine the research findings’ generalizability using diverse data sets (longitudinal and cross-sectional) and evaluate the value orientation and customers’ favorable behavioral intentions for luxury fashion consumption.

This study provides insights into luxury marketers and practitioners to understand the contribution of instrumental and terminal values on brand consciousness and behavioral intentions for luxury fashion apparel. The findings would assist in developing marketing strategies for an emerging market, i.e. India.

With the rapid proliferation of materialism, the Indian market has witnessed the dawn of a new era of luxury fashion acceptance. The research offers evidence that in emerging markets such as India, consumers exhibit value orientation toward luxury brands while holding a sense of fashion involvement in their consumption behavior.

This study is a pioneering attempt to understand the relationships between the value orientation, namely, instrumental and terminal values and their underlying influence on brand consciousness and behavioral intentions toward fashion apparel. Rokeach’s (1973) two-dimensional value dichotomy was adapted to understand luxury apparel consumption in an emerging market context, specifically India.

The purpose of this paper is to fabricate the scaffolds with different pore architectures using additive manufacturing and analyze its mechanical and biological properties for bone tissue engineering applications.

The polylactic acid (PLA)/composite filament were fabricated through single screw extrusion and scaffolds were printed with four different pore architectures, i.e. circle, square, triangle and parallelogram with fused deposition modelling. Afterwards, scaffolds were coated with hydroxyapatite (HA) using dip coating technique. Various physical and thermo-mechanical tests have been conducted to confirm the feasibility. Furthermore, the biological tests were conducted with MG63 fibroblast cell lines to investigate the biocompatibility of the developed scaffolds.

The scaffolds were successfully printed with different pore architectures. The pore size of the scaffolds was found to be nearly 1,500 µm, and porosity varied between 53% and 63%. The fabricated circular pore architecture resulted in highest average compression strength of 13.7 MPa and modulus of 525 MPa. The characterizations showed the fidelity of the work. After seven days of cell culture, it was observed that the developed composites were non-toxic and supported cellular activities. The coating of HA made the scaffolds bioactive, showing higher wettability, degradation and high cellular responses.

The research attempts highlight the development of novel biodegradable and biocompatible polymer (PLA)/bioactive ceramic (Al₂O₃) composite for additive manufacturing with application in the tissue engineering field.

This paper proposes a decision-making framework for assessing various dimensions and barriers that have affected the admission process in management educational institutions during the ongoing pandemic. The framework considers the interrelationship between the obstacles and highlights the importance of each barrier.

An integrated method based on decision-making trial and evaluation laboratory and analytical network process is proposed to structure the barrier assessment framework. Results obtained from the study are validated by comparing them against the conventional analytical hierarchy process.

The results obtained from this study indicate four significant dimensions that hinder admission in Indian management institutes, namely, governmental, financial, sectoral, institutional and market. The top five barriers are demand shift towards technical (alternative) skills, acceptance of the graduated students, lack of industry–institute collaboration, lack of long-term vision and opening new Indian Institute of Technologies (IITs) and Indian Institute of Managements (IIMs).

During this ongoing pandemic, many educational institutes have been forced to shift from the traditional classroom to a virtual teaching model. In this regard, this study helps identify and assess the barriers to admission in Indian management institutes during this epidemic and thus, contribute to the literature. The findings will assist all stakeholders and policymakers of management institutions design and develop appropriate managerial strategies. The study is conducted in the Indian management educational institute context and can be extended to technical education institutions for deeper insights.

The paper develops an assessment framework for analysing the barriers to admission in Indian management institutes during the ongoing COVID-19 pandemic. Research implications are discussed in the context of a developing country.