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The purpose of this paper is to identify the supply chain management enablers (SCMEs) and establish relationships among them using interpretive structural modeling (ISM) and find out driving and dependence power of enablers, using fuzzy MICMAC (Matriced' Impacts Croisés Multiplication Appliquée á un Classement) analysis.

A group of experts from industries and academics was consulted and ISM is used to develop the contextual relationship among various SCMEs for each dimension of SCM implementation. The results of ISM are used as an input to fuzzy MICMAC analysis, to identify the driving and dependence power of SCMEs.

This paper has identified 24 key SCMEs and developed an integrated model using ISM and the fuzzy MICMAC approach, which is helpful to identify and classify the important SCMEs and reveal the direct and indirect effects of each SCME on the SCM implementation. The integrated approach is developed, since the ISM model provides only binary relationship among SCMEs, while fuzzy MICMAC analysis provides precise analysis related to driving and dependence power of SCMEs.

The weightage for ISM model development and fuzzy MICMAC are obtained through the judgment of academicians and a few industry experts. It is only subjective judgment and any biasing by the person who is judging the SCMEs might influence the final result. A questionnaire survey can be conducted to catch the insight on these SCMEs from more organizations.

This study has strong practical implications, for both practitioners as well as academicians. The practitioners need to concentrate on identified SCMEs more cautiously during SCM implementation in their organizations and the top management could formulate strategy for implementing these enablers obtained through ISM and fuzzy MICMAC analysis.

This is first kind of study to identify 24 SCMEs and further, to deploy ISM and fuzzy MICMAC to identify and classify the key SCMEs that influence SCM implementation in the organization.

Despite the fact that online is predicted to become the major channel for luxury purchases by 2025, there is scant literature related to online luxury buying behavior, mainly in the context of Generation Y (Gen Y) consumers in emerging societies like India. Therefore, the primary objective of this study is to empirically test the theoretical framework developed to assess the factors influencing luxury consumers' online shopping behavior based on the stimulus-organism-response model and technology acceptance model (TAM).

Data were collected from 233 Gen Y luxury consumers in India via purposive sampling method. The study used AMOS and PROCESS SPSS Macro to establish the overall fit of the measurement model and examine the hypotheses.

The findings revealed that perceived usefulness of buying online, perceived ease of buying online, economic benefit and webstore quality have significant impact on online luxury purchase intention. The perceived experiential values and perceived functional values mediate the influence of antecedent variables on online luxury purchase intention. Bandwagon luxury consumption behavior (BLCB) moderates the relationship between perceived functional values and online purchase intention.

This is one of the pioneer studies conducted to understand the influence of BLCB on value–intention relationship in online space among Gen Y luxury consumers. This study will help luxury retailers to create targeted strategies for this segment.

This paper aims to correct the existing mixed integer programming (MIP) model proposed by Yadav et al. (2019) [“Bi-objective optimization for sustainable supply chain network design in omnichannel.”, Journal of Manufacturing Technology Management, Vol. 30 No. 6, pp. 972–986].

This paper first presents a counterexample to show that the existing MIP model is incorrect and then proposes an improved mixed integer linear programming (MILP) model for the considered problem. Last, a numerical experiment is conducted to test our improved MILP model.

This paper demonstrates that the formulations of the facility capacity constraints and the product flow balance constraints in the existing MIP model are incorrect and incomplete. Due to this reason, infeasible solutions could be identified as feasible ones by the existing MIP model. Hence, the optimal solution obtained with the existing MIP model could be infeasible. A counter-example is used to verify our observations. Computational results verify the effectiveness of our improved MILP model.

This paper gives a complete and correct formulation of the facility capacity constraints and the product flow balance constraints, and conducts other improvements on the existing MIP model. The improved MILP model can be easily implemented and would help companies to have more effective distribution networks under the omnichannel environment.

This study has analyzed strategic issues in implementing advanced manufacturing technologies (AMTs) in manufacturing organizations in India and their relative importance.

A survey of manufacturing organizations was conducted, and the data were analyzed using statistical tools (one-sample t-tests, correlation and regression analyses).

Improvement in product quality and flexibility of operations are the motivation for AMTs implementation. Top management support and sound financial conditions are essential for implementing AMTs. Successful implementation of AMTs helps in reducing the lead time and improving overall business performance.

The findings of this study will help organizations in the implementation of AMTs for improving productivity and business performance. The study is limited to manufacturing organizations in India.

Organizations should allocate sufficient funds for AMT applications. Organizational culture should be made conducive to the adoption of new technologies. Employees should be provided adequate training for its successful implementation.

The main contribution of this paper is that it provides a detailed analysis of strategic issues for implementing AMTs in manufacturing organizations.

The purpose of this study is to quantify the supply chain flexibility for an Indian soap manufacturing firm and to measure its performance. The authors made an attempt to find key strategic and operational decision-making dimensions for developing effective supply chain flexibility environment.

The authors have extracted 11 supply chain flexibility dimensions through extensive literature review. The authors used a decision-making trial and evaluation laboratory (DEMATEL) to make causal analysis and prioritizing the dimensions. After DEMATEL analysis three major supply chain flexibility dimensions that seem to have significant amount of influence on supply chain performance of the firms were retained for further consideration. The authors have developed an excel-based template for quantitative assessment of flexibility performance indicators.

This study provides key enablers for the successful implementation of flexibility concepts in Indian soap manufacturing firms and gives a view how to measure the performance through designing template based on real data. This template can be used in other firms also by simply modifying the key attributes.

A flexibility index has been defined here with the purpose of assessing the level of flexibility vis-a-vis what is desired and is meant to be evaluated from time to time, to assess if the firm is improving its flexibility or not. The index assumes importance in view of the fact that it has been prepared based on feedbacks of both the upper and the lower management people of the firm engaged in policymaking and operations.

This study examines the mediation effects of time-based competitiveness, cost-based competitiveness and customer performance between logistics outsourcing and financial performance.

The study relied on a questionnaire as the primary data collection instrument and further employed partial least squares structural equation modelling technique to test all formulated hypotheses.

The results demonstrate that logistics outsourcing has a significant positive impact on time-based competitiveness, cost-based competitiveness, customer performance and financial performance. Time-based competitiveness and cost-based competitiveness were both found to have a significant positive impact on financial performance; however, customer performance had no significant impact on financial performance. The mediation analysis further indicates that while both time-based competitiveness and cost-based competitiveness play mediation effects between logistics outsourcing and financial performance, customer performance plays no mediation effect between logistics outsourcing and financial performance.

The sampled firms for this study came from a single emerging country; hence, the results cannot be generalized or imported to reflect the results that may be obtained from other emerging geographical settings.

The results provide sufficient evidence for managers to turn their attention to logistics outsourcing, as a transformative business initiative, to gain time-based and cost-based competitiveness so as to improve financial performance.

The study provides significant insight and makes an additional contribution to literature in the area of logistics outsourcing, especially by collecting data from an emerging country. Modelling time-based competitiveness, cost-based competitiveness and customer performance as mediating variables between logistics outsourcing and financial performance make this work relatively different from other studies.

The purpose of this study is to examine how phygital luxury experiences can be generated from mobile-mediated service activities while enabling luxury apparel shoppers to attain status goals and hedonic goals. Phygital luxury experiences are defined in this context as shopping experiences that blend the participative and immersive components of mobile and ubiquitous media with physical luxury servicescapes.

This conceptual research draws on activity theory from the field of human-computer interaction to produce an activity-centric model of phygital luxury experiences. By drawing on activity theory, the authors develop research propositions and build a conceptual model. The conceptual model probes how phygital luxury experiences can be generated from mobile-mediated service activities that enable luxury apparel shoppers to attain status goals and hedonic goals. In turn, service activities are proposed to meld with luxury shopping goals when mobile devices allow luxury apparel shoppers to participate in community-, rules-, and labor-based service activities.

First, the conceptual model demonstrates that social validation and personalization are status and hedonic drivers for community-based service activities (e.g. content-sharing and multiplatform storytelling). Second, special privileges and new comforts are status and hedonic drivers for rules-based service activities (e.g. engaging in pseudo-webrooming, pseudo-showrooming, and seamless and on-demand resources). Third, know-how and domination are status and hedonic drivers for labor-based service activities (e.g. adopting self-service technologies and smart or intelligent displays).

This conceptual model contributes to the well-documented need for research on interactive luxury strategies and luxury retail innovation. Overall, these service activities provide luxury brands and shoppers new opportunities for building elite communities, bending store rules, and altering the division of labor within physical stores. At the same time, this model shows that exclusivity and allure of luxury consumption can be reproduced through luxury apparel shoppers' embodied interactions with salespeople and relevant audiences in connected store environments.

This study aims to create a systematic knowledge base on importance and utilization patterns of underrated pseudo-cereals prevalent in the northeastern hilly (NEH) region of India, namely, buckwheat, Job’s tears, chenopod and amaranth, enabling their diversified use to develop innovative food products from them. The information presented in the paper would facilitate scientists, trainers and young entrepreneurs in developing many novel food products from these underrated pseudo-cereals.

Major scientific information has been collected from Scopus, Web of Science and Google Scholar. Several keywords such as underrated crop, pseudo-cereals, buckwheat, chenopod, Job’s tears, amaranth, value addition and utilization were used to find the data. Relevant information was collected by using about 60 recent research and review articles.

The main findings of this comprehensive study include compiled record of utilization of underrated pseudo-cereals found in the NEH region of India and their scope to innovate smart food products.

The paper presents a comprehensive record of nutritional benefits and utilization status of the underrated pseudo-cereals available in the NEH region of India. This knowledge base would help both the researchers and other professional working in the processing of these crops.

The purpose of this paper is to identify how fashion and cosmetics e-stores compete and grow to help e-commerce managers set the corresponding marketing strategy. It describes the relevance of customer acquisition and retention to market share as the essential performance metrics.

An empirical generalization approach where patterns in data appearing across studies are described by a mathematical or graphical method is used. To do that, the authors observed real transactional data and the effect of how e-stores benefit from new and returning customers and gain a larger market share. The authors have analysed behavioural data from nearly 124,000 e-commerce customers in two highly popular product categories (fashion and cosmetics) in the size of 10,000,000 euros in sales or more.

Fashion and cosmetics e-stores with more market penetration tend to have a higher market share measured both by the number of total purchases and the number of sales in euro. In other words, market penetration is a solid predictor of market share in all circumstances. Interestingly, no significant difference in loyalty has been observed in relation to market share growth except in the situation where the market partition was excluded from the product category.

The businesses under study derived only from one country and only two product categories were observed. Thus, there is a potential limitation in generalizing the findings to the whole e-commerce market from a geographical and category perspective. The length of the observation period may also play a role as a longer period increases the chance of repeat buying.

E-commerce managers can gain long-term market share growth mainly via higher market penetration (acquisition of new customers) and should avoid misleading overfocus on loyalty tactics (retention of current customers). The study also provides important benchmarks for e-commerce businesses in the fashion and cosmetic categories.

In the market share growth literature, only a handful of studies focus on stores and not on products. Moreover, there is a dominance of fast-moving consumer goods categories. Surprisingly, studies analysing ever-growing e-commerce markets are scarce. Thus, this research is original because it describes, using empirical data, how brands online, at the store level and within the fashion and cosmetics category, grow their market share. It is also one of the few studies that work with real business transactional data.

The purpose of this study is to empirically examine the impact of technology-enabled service co-creation on patients' service patronage behaviour in healthcare retailing. The first objective is to examine the mediating roles of spatial presence and co-presence in the relationship between technology enabled co-creation and service experience. The second objective is to investigate if healthcare service experience impacts patients' relationship value with hospitals and subsequent patronage intention.

Data were collected from a sample of 516 customers of three leading hospitals in India during the social isolation period of COVID-19. The data were analysed using structural equation modelling.

The study results demonstrate that customers' favourably perceived technology-enabled co-creation generates feelings of spatial presence and co-presence in the technology-enabled platform. The feeling of presence enhances patients' health care service experiences which in turn predict their relationship value perceptions towards the healthcare service provider. Co-presence dominates as a mediator in terms of magnitude over spatial presence. The favourable value perception positively impacts patients' intention to come back to the same hospital.

The study uses cross-sectional data, which does not incorporate any temporal variations in the investigated relationships. The study does not account for differences in government vs. private undertakings of healthcare system.

The findings envisage a digital healthcare retail system, where hospitals can enhance patients' perceptions of healthcare service experience, relational value and re-patronage intention, based on the digital mediated environment design elements, i.e. spatial presence and co-presence. As co-presence is a dominant factor, ensuring that human healthcare experts (rather than technology based e-service elements like chatbots) participate in healthcare service co-creation is of prime importance to provide enriching service experience to the patients.

The value of the research lies in extending the theories of presence, UTAUT and S-O-R to understand digital healthcare retailing, in order to identify the mechanism of how online co-creative platform can generate hospital patronage behaviour among patients through the serial mediation of presence, augmented service experience and relationship value.