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The objective of this paper is to identify dimensions of responsible consumption from consumer perspective and develop a reliable and valid measurement scale.

This paper has employed mixed methodology to develop items for responsible consumption. In first phase, experts' interviews were carried out to unearth the dimensions of responsible consumption. In second phase, quantitative survey was carried out to among consumers to measure their response. This was done using five-point Likert scale. The reliability and validity were ensured through empirical data online. Structural equation modeling was used to test the structural model.

The result showed that consumer perception of responsible consumption consists of five dimensions (Rationality, Sustainable Consumption, Local Consumption, Ethical Consumption and Minimalism). The result also showed strong relationship among satisfaction and responsible consumption dimensions.

It will help policymakers to measure and promote responsible consumption thereby improving environmental performance and reducing carbon footprint.

This is the first study to develop valid and reliable instrument for responsible consumption. The findings will have several implications both theoretical and practical for policymakers and society.

Presents the analysis of a two‐unit cold standby system in which the standby unit takes a random amount of time for operation whenever the operative unit fails. Each unit is first repaired by the assistant repairman and is then taken up for post‐repair if necessary. The failure and repair times of each unit are assumed to be correlated and their joint density is taken as bivariate exponential. Uses regenerative point technique to obtain various reliability characteristics of interest. Studies the behaviour of steady‐state availability through graphs. Verifies earlier results.

The purpose of this paper is to develop and to assess quality characteristics of functional carabeef cookies.

Carabeef cookies were prepared with incorporation of 50 percent carabeef powder in a pre-standardized formulation and then were baked at 150-160°C for 35-40 minutes. Developed functional carabeef cookies were incorporated with 50 percent carabeef powder, 10 percent orange pulp fiber as natural fiber source, 1.5 percent guar gum as fat replacer and 20 percent of sodium caseinate as sugar replacer. Cookies were analyzed for various physical properties, proximate parameters physcio-chemical properties, instrumental textural properties, color values, sensory evaluation and complete profile estimation in terms of minerals and fatty acids analysis.

Functional carabeef cookies had 4.48 times higher protein, 6.13 times higher IDF, 5.47 times higher SDF and 4.47 times higher TDF as compared to normal refined wheat flour (RWF) cookies. Functional carabeef cookies had 34.58 percent lower fat, 19.95 percent less cholesterol and 12.5 percent lower energy content as compared to normal RWF cookies.

Functional carabeef cookies had comparatively higher mineral content as well as saturated and unsaturated fatty acids in a desirable ratio. Health-promoting functional carabeef cookies might be a magnificent option to overcome the problem of malnutrition, quite prevalent among lower socio-economical strata people specifically children and women.

Health-promoting functional carabeef cookies had higher nutritional content and acceptability, and thus could be commercialized to improve socio-economic status and health of consumers.

The aim of this paper states that total productive maintenance (TPM) is an improvement tool which employs the effective utilization of employees in order to enhance the reliability of the equipment in consideration.

This paper identifies and evaluates the factors accountable for the adoption of TPM methodology in manufacturing organizations. Twenty-four factors affecting the TPM implementation are explored and categorized into five significant categories. Afterwards, these identified TPM factors have been evaluated by using a most popular Multi-criteria decision-making (MCDM) approach namely fuzzy pivot pairwise relative criteria importance assessment (F-PIPRECIA).

In this paper, through application of F-PIPRECIA, “Behavioural factor” is ranked first while “Financial factor” the last. Considering the sub-factors, “Top management support and commitment” is ranked first while “Effective use of performance indices” is ranked the last. A further sensitivity analysis indicates the factors that need higher level of attention.

The result of current research work may be exploited by the top administration of manufacturing enterprises for assessing their TPM adoption status and to recognize the frail links of TPM application and improve accordingly. Moreover, significant factors of TPM can be identified and deploy them successfully in their implementation procedure.

The conclusion obtained from this research enables the management to clearly understand the significance of each considered factor on the adoption of TPM in the organization and hence, provides effective utilization of resources.

Introduction: In previous years, we can witness an upsurge in the usage of different digital tools by the different corporates worldwide. Instead, it can be witnessed during the time of Covid-19, where most of this affects the various human resource management (HRM) practices. It became essential for the industries worldwide to shift through digitalisation and so for HRM functions.

Purpose: Understanding the present situation of extensive usage of different digital tools, this chapter aims to discover and comprehend how successful the various organisations were in digitalisation and explain its outcomes. The main objective of this chapter is to explore the various factors influencing the success of digitalisation in human resources (HR) and measure its outcomes. To fulfil this aim, authors have focused on exploring the literature on a similar concept in the last decade (2011–2021).

Methodology: To conduct the study, the authors have approached a systematic study of bibliographic search with a motive to achieve the available works about HRM digitalisation. The list of different resources was primarily created using Google Scholar’s information. The acquired resources were then analysed and, based on certain pre-defined criteria, filtered.

Findings: The result of this study indicated that most of the previous studies focused on digitalisation outcomes, but very few studies have explored the dimension of understanding the success of digitalisation. Authors have categorised the factors among technological, organisational, and people factors. So further to understand these in-depth outcomes, both positive and negative outcomes have been understood.

Implications: Lastly, the authors have also tried to explore the suitable settings required for HRM digitalisation by studying empirical articles. This chapter will provide the overall view of the crucial factors for successful digitalisation in the domain of HRM and evaluate the outcomes. The study’s findings can be further utilised to conduct an in-depth study of the phenomenon and explore how the organisation can manage these factors during the implementation of HR digitalisation.

The learning outcomes of this paper are follows: students should be able to understand the complexity related to the provision of safe drinking water for disaster-hit areas and effective solutions to overcome this problem. Also, students should be able to evaluate the need for awareness about post traumas mental health especially in case of disasters and identify how technology can provide answers to such critical issues.

The case represents a unique scenario where the head of an organization has moved away from the financial prospect and invested time and efforts for the provision of safe drinking water to the inaccessible areas and devise strategies for the improvement of disaster relief operations.

Undergraduate and post graduate students.

Teaching notes are available for educators only.

CSS 4: Environmental Management.

This study aims to identify and analyse the interactions among drivers of anti-food waste behaviour at the consumer level. By understanding the mutual interactions among the drivers, an effort is made to identify the most driving and most dependent drivers through the total interpretive structural modelling (TISM) approach. Modelling offers inputs to propose focused interventions for reinforcing the identified drivers of anti-food waste consumer behaviour using the theoretical lens of social practices theory.

A proposed model of factors affecting anti-food waste behaviour is arrived at to suggest the most effective anti-food waste behavioural interventions. The factors were identified through an extensive literature search. A hierarchical structure of identified factors has been developed using TISM and MICMAC analysis through expert opinion. Focused marketing strategies towards promoting the identified factors for encouraging anti-food waste behaviour were suggested further.

This study identifies nine drivers based on extensive literature review, brainstorming and expert opinion. The TISM hierarchical model portrays the most important and least important drivers of household anti-food waste behaviour. It establishes that fundamental knowledge and socio-cultural norms are the most critical factors to drive the consumers. Marketers can focus on designing effective interventions to enhance the essential knowledge of the consumers and orient the socio-cultural norms towards anti-food waste behaviour.

This study offers implications for practitioners, policymakers and cause-driven marketing campaigns targeting anti-food waste behaviour. It provides an indicative list of critical factors relevant to household food waste behaviour, which can be used to drive effective marketing campaigns to nudge anti-food waste behaviours.

The proposed food waste behaviour management model was developed through modelling technique (TISM) and Cross-Impact Matrix Multiplication Applied to Classification (MICMAC) analysis, and relating them to marketing interventions is a novel effort in the food waste domain.

India has a serious poverty issue that needs to be addressed immediately. The elimination of poverty should be one of the primary goals of economic policy. The elimination of poverty is one of the greatest obstacles to economic development as it is now envisioned. It is difficult to provide a blanket recommendation for achieving economic growth and reducing poverty because each state's experience has been distinct. The states of Punjab and Haryana are two examples of how a strong emphasis on agricultural expansion can help alleviate poverty. Human resource development has been successful in Kerala; thus, it has been replicated in other states. While India's social safety programmes have helped to alleviate poverty, they aren't perfect. COVID-19 reversed the progress made and harmed migrant workers and others in the informal economy. There are now millions more people living in extreme poverty than before. To tackle unemployment, governments and underprivileged communities are appealing to programmes like MGNREGA.

The purpose of this article is to investigate the measures taken by the state to combat poverty.