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The present study aims to examine the impact of social media marketing activities (SMMAs) on the adoption of food waste reduction behavior among Generation Z consumers within the restaurant service industry in Pakistan. The study focuses on the impact of social media advertisements and investigates the mediating influence of waste reduction intentions on actual behavior. This underscores the significance of contextual and emotional variables in comprehending consumer behaviors.

The study used a cross-sectional research methodology to examine the impact of SMMAs on the behavior of Generation Z consumers in Pakistan’s food service industry with regard to reducing food waste. A study was conducted to investigate the restaurant purchasing behaviors of a sample consisting of 449 individuals belonging to the millennial generation, often known as Generation Z.

The majority of variables related to SMMA, except for interactivity and personalization, were shown to have a positive impact on individuals’ intents to reduce food waste. The study observed a significant relationship between consumers’ intentions to decrease waste and their actual behavior in waste reduction. Furthermore, this relationship was shown to be influenced by the mediating role of waste reduction intention.

Examining how social media affects Pakistani Generation Z’s efforts to reduce food waste is what makes this study distinctive. According to the research, the majority of social media factors positively influence intentions to reduce waste. The relationship between intentions and actual behavior, which highlights the impact of social media campaigns and emotional aspects in promoting waste reduction, is one of the important conclusions.

The purpose of this study is to integrate Green technology, Lean and Six Sigma methodology under the umbrella of Green Lean Six Sigma (GLSS). Further, the study also proposes an eight facet GLSS framework for small and medium enterprises (SMEs) to enhance organizational sustainability.

In this study, GLSS integration has been proposed based on intangible features like barriers, challenges, toolsets, etc. Moreover, the GLSS framework has been realized based on Six Sigma well-known define, measure, analyze, improve and control (DMAIC) approach.

It has been found that lack of customer involvement, financial constraints and ignorance towards Kaizen are the most pre-eminent barriers for GLSS execution. Further, it has been found that most frequently used GLSS tools are the 5S, environmental value stream mapping (EVSM) and life cycle assessment (LCA). The proposed GLSS framework encompasses systematic application of different GLSS tools that lead improved organization sustainability.

The present study will facilitate industrial managers to incorporate the GLSS approach in their business process through systematic understanding of key elements related to this sustainable approach. This study further prompts practitioner to incorporate GLSS in industry through systematic adoption of the proposed framework for improved environmental performance.

This work provides detailed knowledge for the researchers and academicians by dispensing awareness into integral measures and framework. GLSS toolsets dispensed in this work augments academicians and researchers to make decision which tools to be used at distinct phases of GLSS project execution.

The present study is the first of its kind that provides integral measures and GLSS framework for SMEs.

The purpose of this study to find an alternate method to minimize waste i.e., eggshell and rice husk ash. In this paper, eggshell (ES) and rice husk ash (RHA) particles are used as reinforcements for examining their effect on the coefficient of thermal expansion (CTE), grain size (GS) and corrosion behavior for developed composite material.

In this investigation, 5 Wt.% each of ES and RHA reinforcement particles have been introduced. To investigate the microstructures of the developed composite material, scanning electron microscope was used. Physical and mechanical properties of composite material are tensile strength and hardness that have been examined.

The result of this paper shows that number of grains per square inch for composition Al/5% ES/5% RHA composite was found to be 1,243. Minimum value of the volume CTE was found to be 6.67 × 10–6/°C for Al/5% ES/5% RHA composite. The distribution of hard phases of ES particles in metal matrix is responsible for improvements in tensile strength and hardness. These findings demonstrated that using carbonized ES as reinforcement provides superior mechanical and physical properties than using uncarbonized ES particles.

There are several articles examining the impact of varying Wt.% of carbonized ES and rice husk reinforcement on the microstructures and mechanical characteristics of metal composites. CTE, GS and corrosion behavior are among of the features that are examined in this paper.

The development of information technologies and the increase in the number of new generation of technology-based consumers lead to significant changes in the promotion and positioning strategies implemented in consumer markets. Applications such as Augmented Reality (AR) have become widespread in promotion activities.

In this study, the authors aimed to determine whether there was a difference between customers’ brand trust and purchase intentions regarding real experiences of the consumers at the store, experiences about AR applications, and traditional advertisements.

Results show that AR applications differ in terms of brand trust and purchasing intention according to traditional advertisements, and the attitudes of consumers toward brand trust and purchase intention in AR applications are more favorable than traditional advertisements. In the light of the results of the study, various strategy proposals were presented to researchers and marketing practitioners.

A recent meeting involved co‐operation with the organisers of the Canadian High Technology Show and the local Chapter of the SMTA. The programme included an inspiring keynote address by Mr Frank J. Pipp, Xerox Corporation. The topic of the address was ‘Malcolm Baldridge National Quality Control and the Evaluation of Total Quality Control in Xerox Corporation.’

The purpose of this paper is to investigate the wave propagation of wave in an infinite poroelastic cylindrical bone. The dynamic behavior of a wet long bone that has been modeled as a piezoelectric hollow cylinder of crystal class 6 is investigated.

An exact closed form solution is presented by employing an analytical procedure. The frequency equation for poroelastic bone is obtained when the boundaries are stress free and is examined numerically.

The study of wave propagation over a continuous medium is of practical importance in the field of engineering, medicine and bio-engineering. Application of the poroelastic materials in medicinal fields such as orthopedics, dental and cardiovascular is well known. In orthopedics, wave propagation over bone is used in monitoring the rate of fracture healing. There are two types of osseous tissue, such as cancellous or trabecular and compact or cortical bone, which are of different materials, with respect to their mechanical behavior.

The frequencies are calculated for poroelastic bone for various values for different values of rotation, angular velocity and density. In wet bone little velocity dispersion was observed, in contrast to the results of earlier studies on wet bone. Large values of attenuation were observed. Such a model would in particular be useful in large-scale parametric studies of bone mechanical response.

Introduction: The rapid growth of high technology has urged many organisations to dynamically look for innovative ways, ideas, testing, and ingenious solution in improving their current product, process, system, and technology. For contemporary business, artificial intelligence (AI)-based people analytics is an instrument currently employed to develop a better prosperous future.

Purpose: The study aims to investigate the usage of AI in human resource management (HRM) practices. It also examines the benefits and challenges of using AI in implementing people analytics in organisations.

Methodology: This chapter contains a systemic review of articles and papers on analytics. The presented qualitative study did a literature review based on the articles published in the last five years and extracted from the Scopus database.

Findings: This chapter indicated that AI-based people analytics is on the verge of changing various aspects of HRM practices better to furnish it for a vibrant, ever-changing workplace. It concludes different usage of AI in people analytics for better managing human resources (HR) at the workplace. Also explored the benefits and challenges of implementing AI in the people analytics domain.

Implications: This chapter will help understand ongoing practices of AI-enabled process benefits and challenges. This insight will help develop a better AI-enabled function for a better decision-making system. The future scope of the study is how to overcome the challenges.

Nepal is exposed to multi-hazard risk and is highly prone to disasters such as earthquake, flood, landslide, and drought. The climate, topography, nature-based livelihood, and weak economy and institutional capability to deal with such disasters put the country at frontline of the highly vulnerable countries in the world. Majority of the population of Nepal live in rural areas which are characterized by poorly developed infrastructures. Several disasters in such areas induce temporarily or permanently displacements of the people. Vulnerable communities, households, and individuals lack the capacity to withstand shocks, while more resilient communities are able to reduce the associated risks. Migration during disasters is itself an adaptive response which is both the opportunity and challenge for developing a resilient community. This chapter presents the trends and patterns of disaster-induced displacements in Nepal and explores how disaster-induced displacements could be an opportunity to build back better to enhance the resilience of the vulnerable communities. This chapter also highlights the existing institutions and disaster management framework of the national policies and strategies at the federal, provincial, and local levels in the light of disaster-induced displacement, and recommend actions that need to be taken to manage the risk of disaster-induced displacements and enhance resilient livelihoods in Nepal.

This study aims to develop a robust theoretical framework to explain the impact of hotels’ green brand authenticity on guests’ perceptions of well-being, customer engagement and approach behaviors toward green brands.

In this study, the authors examined the effect of green brand authenticity on perceptions of well-being, customer engagement and approach behaviors toward green brands. For the quantitative empirical analysis, 352 samples were used. Green brand authenticity integrates quality commitment, heritage, uniqueness and symbolism as high-dimensional factors.

The study conceptualizes green brand authenticity as a multi-dimensional phenomenon with four dimensions: quality commitment, heritage, uniqueness and symbolism. The results showed that green brand authenticity has a positive effect on hotel guests’ perceived well-being and behavioral intentions. Interestingly, environmental values did not have a statistically significant regulatory role, while green behavior in everyday life had a partial regulatory role.

This study aims to develop and empirically test a conceptual model that depicts the function of green authenticity in explaining customer responses to green brands. The results and the theoretical framework proposed in this study provide significant insights for researchers and practitioners in the hotel industry.

Further than evaluating brand authenticity generally, this study evaluates the authenticity of a brand's environmental protection efforts. As a result of the empirical analysis conducted in this study, the green brand authenticity of a hotel had a positive effect on customers’ emotional and behavioral aspects. This finding provided valuable and meaningful insights for green hotels and hotel brand-related research.

This paper positions environmental concern as the antecedent of attitude, subjective norm and perceived behavioural control. It also sets to expand the theory of planned behaviour by including two condition factors: favourable situation and facility availability on the intention to separate food waste at source.

The study collects data by using self-administered questionnaires on 682 respondents in Malaysia. Structural equation modelling is employed to test the conceptual model and the proposed hypotheses.

The results show that environmental concern positively influences attitude and subjective norms, which, in turn, influences food waste separation intention. Favourable situation and facility availability are found to influence the separation intention.

This study is one of the earliest studies to investigate residents’ intention to participate in food waste separation at a source that employs the expanded theory of planned behaviour with environmental concern and condition factors.