Search results

Around the world, protecting environment and purchasing green products by the manufacturing firms progressively becomes a popular and important issue. Manufacturers are realizing the importance of producing green products under green practices. This study aims to propose an appraisement platform to evaluate the overall performance index of a firm under green practices. Furthermore, the study also helps in identifying ill-performing areas, which necessarily require future attention to augment green supply chain (GSC) of a firm. A case research is conducted to assess the real-life application by the proposed approach.

The authors used fuzzy performance index to measure the overall performance index of a firm. Beside this, they proposed a degree of similarity approach amalgamated with fuzzy performance importance index to classify the ills and strong indices in GSC extent.

The intermittent assessment of green practices and their metrics in the organizational supply chain management (SCM) is indeed necessary. The present study provides an appraisement module to assess overall GSC fuzzy performance index and also helps in identifying the ill-performing areas which require future augmentation toward successful green implementation.

The exposed research work dealt with chains of subjective indices (measure and their interrelated metrics), which are induced into hierarchical appraisement module. To tackle the uncertainty of indices, the subjective indices are transposed into interval-valued fuzzy number set (IVFNS), as IVFNs are preferred to undertake the uncertainty of GSC indices. The proposed approach is demonstrated with a case research to justify its validity and originality.

This study aims to identify the role of age structure in occupational choices and the classification of the occupations based on the age structure of individuals in the Indian labour market.

This study uses the first Periodic Labour Force Survey, 2017–18. The occupational classifications are based on the standardised scores for age groups and their occupations. Further, a multinomial logistic regression model has been used to estimate social and economic factors in determining the age-based occupational classifications.

The authors found age structure an essential factor in determining occupational choices. Hence, occupations in the Indian labour market have been grouped into seven categories, accordingly. In addition, social and economic factors of individuals and households do have a significant influence on the selection of age-based occupational classifications.

The study is limited to the occupational classification based on the age structure of individuals without any industry effects. The findings suggest that policymakers must adopt occupation-specific policies considering the age structure of individuals.

Earlier studies are limited to the dynamics of age either on the basis of specific age groups (younger or older) or on the industrial classification in a disaggregated way. They also lack a rich approach in analysing the occupational classification considering age structure, especially in the Indian labour market. The study adds value when the role of age structure is identified in occupational choices in the Indian labour market, and hence, a novel classification of occupations into seven categories is proposed.

The purpose of this paper is to identify and examine the important factors that could affect consumers' behavioural intention and use behaviour towards mobile payment services during COVID-19.

The proposed model extends meta-Unified Theory of Acceptance and Use of Technology (meta-UTAUT) model with perceived severity and self-efficacy factors affecting consumers' behavioural intention and use behaviour towards mobile payment services. A convenient sampling technique has been utilized to gather data from a self-administered questionnaire. The data collection was restricted to the online mode to avoid any physical contact considering the COVID-19 situation.

The findings revealed that performance expectancy, effort expectancy and perceived severity have a significant positive impact on consumers' attitude; facilitating conditions has a significant positive impact on effort expectancy; self-efficacy has a significant positive impact on effort expectancy; attitude has a significant positive impact on behavioural intention; and behavioural intention has a significant positive impact on use behaviour. Social influence did not confirm any significant relationship.

The current research study has utilized a non-probability convenient sampling technique to gather data through a self-administered questionnaire. The data collection was restricted to the online mode to avoid any physical contact considering the COVID-19 situation. The respondents were adopters of mobile payment services. The scope of the study is the COVID-19 context or related chronic diseases context where major preventive mechanisms such as social distancing and avoidance of physical contacts are vital.

This study has extended the meta-UTAUT model with the COVID-19 context-specific constructs and relationships. The undertaken work has strengthened the explanability of the model. The inclusion of context relevant variables such as perceived severity and self-efficacy and their association with the existing meta-UTAUT framework have enriched the context of the study. The current study offers a holistic understanding of significant factors influencing Indian consumers’ adoption of mobile payment services in the COVID-19 context.

An open question of behavioral pricing literature is: What are the factors which influence consumers’ judgments of acquisition value and transaction value? An important framework to explain consumers’ shopping and purchase decisions is their decision-making styles. This paper aims to examine the influence of consumers’ decision-making styles, that is, perfectionistic high-quality conscious, brand conscious-price equals quality, novelty-fashion conscious, recreational-hedonistic, price conscious-value for money, impulsive-careless, habitual-brand loyal and confused by overchoice on their judgments of acquisition value and transaction value.

From the literature, a conceptual framework was formulated. Data was collected from a survey of 304 respondents. The measurement model was tested using exploratory factor analysis and confirmatory factor analysis. The structural model was tested using structural equation modeling.

The consumers’ judgments of acquisition value and transaction value vary with their decision-making styles. The measurement and structural models exhibited good fit, and 12 of the 16 proposed hypotheses were found to be significant.

The respondents for this research study were urban and postgraduate students.

The results of this study can help managers personalize their promotional offers and market offerings targeted at consumers with different decision-making styles.

Behavioral pricing literature has not convincingly shown that consumers make the judgments of the two values, acquisition value and transaction value, in a purchase scenario. There is limited literature on the impact of decision-making styles on the marketing variables. The results of this study contribute to the literature by showing that consumers make the judgments of these two values, and these judgments vary with their decision-making styles. Also, this is one of only a few studies to examine the two components of the purchase value in an Indian context.

This paper aims to report an insightful portable microfluidic system for rapid and selective sensing of Hg²⁺ in the picomolar (pM) concentration using microcantilever-based piezoresistive sensor. The detection time for various laboratory-based techniques is generally 12–24 h. The majority of modules used in the proposed platform are battery oriented; therefore, they are portable and handy to carry-out on-field investigations.

In this study, the authors have incorporated the benefit of three technologies, i.e. thin-film, nanoparticles (NPs) and micro-electro-mechanical systems, to selectively capture the Hg²⁺ at the pM concentration. The morphology and topography of the proposed sensor are characterized using field emission scanning electron microscopy and verification of the experimental results using energy dispersive X-ray.

The proposed portable microfluidic system is able to perform the detection in 5 min with a limit of detection (LOD) of 0.163 ng (0.81 pM/mL) for Hg²⁺, which perfectly describes its excellent performance over other reported techniques.

A microcantilever-based technology is perfect for on-site detection, and a LOD of 0.163 ng (0.81 pM/mL) is outstanding compared to other techniques, but the fabrication of microcantilever sensor is complex.

Many researchers used NPs for heavy metal ions sensing, but the excess usage and industrialization of NPs are rapidly expanding harmful consequences on the human life and nature. Also, the LOD of the NPs-based method is limited to nanomolar concentration. The suggested microfluidic system used the benefit of thin-film and microcantilever devices to provide advancement over the NPs-based approach and it has a selective sensing in pM concentration.

In today’s’ highly competitive market, outsourcing logistic activities have become a global trend as it offers wide range of services including transportation, distribution, packaging, labeling, warehousing, freight forwarding and order fulfillment. The demand of third-party logistics (3PL) provider becomes an increasingly important issue for corporate seeking improved customer service, operational efficiency, logistics costs as well as capital expenditure reduction. However, choosing a proper 3PL provider is a kind of multi-criteria decision making problem under consideration of complicated criteria hierarchy. Therefore, it seems necessary to develop an efficient appraisement module towards performance evaluation as well as selecting the best 3PL provider. The paper aims to discuss these issues.

The present paper proposes a fuzzy based appraisement platform for evaluation and selection of 3PL providers. The theory behind interval-valued fuzzy numbers (IVFNs) has been utilized to aid the said decision-modeling. Based on two appraisement modules for 3PL evaluation; empirical data have been analyzed to validate case application.

The proposed method has been found efficient for solving the group decision-making problem under uncertain environment due to vagueness, ambiguity associated with decision-makers’ subjective judgment. The proposed appraisement platform has been explored by an Indian automobile part manufacturing company at eastern part of India. 3PL providers have been evaluated individually to check their performance level with respect to various evaluation attributes. Apart from estimating overall performance metric, the model presented here can identify ill-performing areas which necessitate future attention.

The major contributions of this work have been summarized as follows: First, development and implementation of an efficient decision-making procedural hierarchy to support 3PL evaluation and selection. Second, an overall performance metric has been introduced. Third, concept of IVFNs has been efficiently explored to facilitate such a appraisement cum selection decision making. Final, the appraisement index system has been extended with the capability to search ill-performing areas which require future progress.

The learning outcomes of this case are in understanding core concepts of brand management and brand dilution. Assessment of macro-economic risks and proper positioning strategies are the key take-away from this case. The case gives an understanding of how brands are built and positioned, and the pitfalls of poor brand planning and assessment that could lead to brand dilution. The case is useful for highlighting the importance of brand management and the challenges of re-positioning. The discussions would shed light on why it is important to plan and manage spending on marketing for brand building activities, and why brands would suffer when spending is reduced. This case is a teaching case and not a research case. It will help participants assimilate available information in combination with existing academic theories and publications to help develop an accurate assessment and prognosis of the events leading until the point of slicing the case.

Reid & Taylor in 2015 had been reduced to a discounter brand offering extended end-of-season sales when most other competitors have ended their promotions. In the 17 years since its big-budget launch in the Indian market in one of the most memorable brand introductions, Reid & Taylor changed its ambassador twice and repositioned itself thrice. The case would allow participants to delve deeper into aspects of marketing spending, brand management, positioning and advertising effectiveness. The case brings to the fore discussions on marketing, specifically on branding, positioning and its related advertising in the textile sector for a brand that has not been studied in academic literature until the present time. The discussion allows for novelty, involving both forward- and backward-looking assessments and evaluations to help participants better imbibe learnings in brand management and positioning.

The case is suitable for a graduate-level (Master’s level) course in marketing and brand management. This case is suitable for elective courses that discuss positioning and brands.

Teaching notes are available for educators only.

CSS 8: Marketing

National Innovation Foundation (NIF) was a partner organization of the Honey Bee Network (HBN) which was a networked organization of individuals, innovators, farmers, scholars, academicians, policy makers, entrepreneurs and non-governmental organizations (NGOs). The HBN worked to create a network of grassroot innovators and acknowledged them by protecting their IPR. NIF was an autonomous body of the Department of Science and Technology (DST), Government of India, which provided institutional support to grassroot innovators, and facilitated the diffusion of traditional knowledge through various channels. NIF also handled filing patents and licensing of grassroot technology.

The purpose of this paper is to acquaint the readers with recent developments in biopolymer-based food packaging materials like natural biopolymers (such as starches and proteins), synthetic biopolymers (such as poly lactic acid), biopolymer blending and nanocomposites grounded on natural and synthetic biopolymers. This paper is an attempt to draw the readers towards the advantages and attributes of new era polymers to diminish the usage of traditional non-biodegradable polymers.

Plastic packaging for food and associated applications is non-biodegradable and uses up valuable and treasured non-renewable petroleum products. With the current focus on researching alternatives to petroleum, research is progressively being channelized towards the development of biodegradable food packaging, thereby reducing adverse impact on the environment.

Natural biopolymer-based nanocomposite packaging materials seem to have a scintillating future for a broad range of applications in the food industry, including advanced active food packaging with biofunctional attributes. The present review summarizes the scientific information of various packaging materials along with their attributes, applications and the methods for production.

This is an apropos review as there has been a recent renewed concern in research studies, both in the industry and academe, for development of new generation biopolymer-based food packaging materials, with possible applications in many areas.