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Education for sustainability has become the mechanism for creating a pool of graduates who can understand, appreciate, practice and support the achievement of Sustainable Development Goals (SDGs). In a world with diverse cultures, demographics, political ideologies, etc. faster progress towards sustainable development needs increased use of digital technologies. Integration of digital technologies like artificial intelligence (AI), metaverse, visualisation techniques, cloud computing, Internet of Things (IoT), open data repositories, geographic information system (GIS), etc. with classroom teaching can build awareness, skills, attitudes and values among students in the journey towards sustainable development and scale up the efforts towards the goals.

In this chapter, the authors have tried to bring out a list of digital technologies and the way in which they can be used in classroom teaching to ensure education for sustainability. It may be noticed that there are watertight compartments between those who know the SDGs and those with proficiency in technology. What is also needed is integration between both silos for mapping the digital technologies with the appropriate SDGs. The teachers in the higher education system need more exposure to understand and implement this integration.

Shopper marketing describes the planning and execution of all marketing activities that influence a shopper along – and beyond – the path-to-purchase, from shopping trigger to purchase, consumption, repurchase, and recommendation stages. Shopper marketing practices at manufacturers and retailers are growing at a tremendous pace and a rising portion of marketing budgets are now devoted to shopper marketing. The first phase of shopper marketing research and practice, Shopper Marketing 1.0, addressed interesting issues, primarily relating to in-store marketing. In the next phase, Shopper Marketing 2.0, will significantly extend to out-of-store marketing, including online and mobile marketing, resulting in an integrated practice. In this new environment, to formulate and execute effective shopper marketing strategies, managers need to better understand the complete picture of how online, offline, mobile and in-store marketing influence shoppers in the path-to-purchase-and-beyond cycle. In this chapter, we present the evolution of shopper marketing, summarize key learnings, outline important issues, and discuss the opportunities and challenges of Shopper Marketing 2.0.

Mobile marketing, the two- or multi-way communication and promotion of an offer between a firm and its customers using a mobile medium, device, platform, or technology, has made rapid strides in the past several years. Mobile marketing has entered its second phase or Mobile Marketing 2.0. The surpassing of desktop by mobile devices in digital media consumption, diffusion of wearable devices among customers, and an overall integration and interconnectedness of devices characterize this phase. Against this backdrop, we present a synthesis of the most recent literature in mobile marketing. We discuss three key advances in mobile marketing research relating to mobile targeting, personalization, and mobile-led cross-channel effects. We outline emerging industry trends in mobile marketing, including mobile app monetization, augmented reality, data and privacy, wearable devices, driverless vehicles, the Internet of Things, and artificial intelligence. Within each extant and emerging area, we delineate the future research opportunities in mobile marketing. Finally, we discuss the impact of mobile marketing on customer, firm, and societal outcomes.

The purpose of this paper is to study the elastohydrodynamic lubrication point contact problem with bio-based oil as lubricants for an isothermal case. The simulation of the problem is analyzed on smooth and rough asperity.

The modified Reynolds equation is discretized using finite difference and multigrid method with full approximation scheme (FAS), applied for its solution with varying load and speed.

This paper traces out the comparison of minimum and central film thickness with the standard formulation of Hamrock and Dowson. The effect of longitudinal roughness on surfaces is investigated by means of numerical simulations.

The results obtained are comparable with the standard results, and are shown by graphs and tables. Bio-based products bring out an alternative source of lubricant to reduce energy crises.

Industry 4.0 has received significant attention in today's competitive business market, necessitating a restructuring of functional domains in nearly every manufacturing organization. A comprehensive strategy to improve performance in preparation for Industry 4.0 implementation necessitates several steps, one of which is the establishment of performance outcomes (POs). The aim of this paper is to identify and rank the POs realized due to the adoption of Industry 4.0 enablers.

Based on an extensive literature review and inputs received from experts, a comprehensive list of enablers and the POs was prepared and finalized. This paper proposes a framework based on hybrid solution methodology, namely Neutrosophic Analytical Hierarchy Process (N-AHP) and Neutrosophic Combined Compromise Solution (N-CoCoSo), to rank the POs realized due to the adoption of Industry 4.0 enablers. The N-AHP methodology has been adopted to calculate the relative weights of the Industry 4.0 enablers. In comparison, the N-CoCoSo method has been adopted to rank the POs of Industry 4.0.

The proposed framework is applied to an Indian manufacturing organization to test the organization's practical applicability. Additionally, sensitivity analysis is also carried out to check the steadiness of the proposed framework. The findings of this study revealed that “Improved responsiveness to market conditions in today's competitive business environment” is the top-ranked PO of Industry 4.0, followed by “Enhanced competitiveness and better market share”, “Better product quality, through smart management of production process” and “Reduction in manufacturing waste and environmental sustainability” which could be realized due to adoption of its enablers.

This research would aid practitioners by enhancing the practitioners' capacity to understand and prioritize the various POs resulting from implementing Industry 4.0 enablers. Embracing a clear strategic plan will further assist practitioners in improving the efficiency of Industry 4.0 implementation.

Previous literature has only addressed the relationship between Industry 4.0 enablers and POs in a limited way. This paper attempts to compile a comprehensive list of Industry 4.0 enablers relevant to manufacturing organizations in order to fill this knowledge and research gap.

This chapter discusses the use of an extended stage model for the evaluation of the adoption of e-business in small and medium-sized enterprises (SMEs). Empirical studies of e-business adoption are rare in Middle Eastern and developing countries and the chapter provides valuable insight into this region, by presenting an account of the use of the extended stage model to explore the level of e-business adoption among Yemeni SMEs.

In making this examination, the challenges and opportunities that accompany e-business adoption are revealed. The internal drivers and barriers, such as finance and skills, are recognised along with the external factors that include infrastructure and legislation. It also provides valuable insight into the macro-level sociopolitical determinants of e-business adoption that have not previously been appreciated; the study was undertaken during the Yemen Civil War in 2016.

Current adoption models imply that organisations adopt technologies in a linear fashion, gradually increasing complexity and capability. This study makes an important contribution by recognising that there are multiple points at which SMEs may ‘enter’ the technology-adoption ladder.

Lean concept is implemented in healthcare organizations, as it deals with improvement processes so that best services may be provided to the patients and competitive advantage may be achieved. The purpose of this paper is to evaluate the important factors which influence implementation of lean principles in the healthcare industry.

The factors influencing lean implementation in the healthcare industry have been determined through literature review and results of a survey where questionnaires were distributed among 325 healthcare professionals. Fuzzy Interpretive Structural Modeling (FISM) approach has been used to analyze the interrelationships among these factors. A FISM model has been developed to extract the key factors influencing lean implementation.

Results of the survey and model show that lean leadership, professional organizational culture and teamwork and interdepartmental cooperation are the top level factors. Clarity of organizational vision, communication of goals and results, follow up and evaluations are the factors with strong driving as well as strong dependence power. Even a slight action taken on these factors will have a significant impact on other factors.

The healthcare professionals and managers can acquire information from the drive power dependence matrix so that they can thoroughly understand the relative importance, interdependencies and relationships among these factors. The model will help in determining the hierarchy of various actions and activities which may be taken by the management for managing the factors that remarkably affect the lean management in hospitals.

In this paper, only 15 variables appropriate for the Indian healthcare industry have been identified. The model developed in the present research has not been validated statistically which can be done by structural equation modeling (SEM).

Though there are various studies which depict that lean principles have been implemented successfully in various industries, there are few studies specifying the application of lean principles in healthcare sector in India. This paper is an attempt to identify various factors which are important for application of Lean concept in the healthcare sector.

The purpose of this paper is twofold: to identify, evaluate and structure the research that focusses on omni-channel retailing from the perspective of logistics and supply chain management; and to reveal the intellectual foundation of omni-channel retailing research.

The paper applies a multi-method approach by conducting a content-analysis-based literature review of 70 academic papers. Based on the reference lists of these papers, the authors performed a citation and co-citation analysis based on the 34 most frequently cited papers. This analysis included multidimensional scaling, a cluster analysis and factor analysis.

The study reveals the limited consideration of logistics and supply chain management literature in the foundation of the omni-channel retailing research. Further, the authors see a dominance of empirical research as compared to conceptual and analytical research. Overall, there is a focus on the Western retail context in this research field. The intellectual foundation is embedded in the marketing discipline and can be characterised as lacking a robust theoretical foundation.

The contribution of this research is identifying, evaluating and structuring the literature of omni-channel research and providing an overview of the state of the art of this research area considering its interdisciplinary nature. This paper thus supports researchers looking to holistically comprehend, prioritise and use the underpinning literature central to the phenomena of omni-channel retailing. For practitioners and academics alike, the findings can trigger and support future research and an evolving understanding of omni-channel retailing.