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This research sought to determine the impact of the management of electronic customer relationships through applying 5IS model on the mental image of Umniah Mobile Network Operator Company’s customers in Amman City. To fulfill the goals of the study, the researcher adopted the descriptive, analytic method. He developed an instrument to collect the data through a questionnaire, which was distributed through the simple, random sampling method over 700 customers of Umniah Company, in the City of Amman, out of which 400 analyzable questionnaires were retrieved. The researcher further employed the convenient statistical methods applying SPSS 22 Program for data analysis. The study concluded many results such as there is statistically significant impact at the significance level (α < 0.05) for the administration of consumer relationships through the use of 5IS model on the mental image of the provided services of Umniah Mobile Network Operator Company in Amman city. In this concern, the integration component is the most influential in the mental image with the customers of Umniah Company. Therefore, the study recommended the need Umniah Telecom Company has to search for the best means to positively influence shaping the mental image of its products, especially the means through which it can provide more information about its services.

Corporate Social Responsibility (CSR) has been in practice in India even before it was mandated by the Companies Act, 2013. While the objectives of CSR varied from philanthropy, being socially responsible to improving the corporate image, the relationship between financial performance and CSR has not been established. Also only a few companies are aligning their CSR activities with their corporate goals. This chapter builds a framework for integrating business with its CSR activities. The first part of the chapter describes how the concept of CSR evolved over years in general and specifically in India. It also discusses the current status of CSR in India. The second part of the chapter uses a well-known CSR model of e-Choupal to build a framework to integrate CSR with business.

Three-dimensional (3D) printing has great potential in the food industry. While 3D printing technology offers customised food products to consumers, it also allows producers to develop new products using a wide variety of alternative food ingredients, modernise the production process and carry out environmentally friendly production. This research aims to determine the attitudes of students towards 3D foods who are studying in the Department of Gastronomy and Culinary Arts, as they are both consumers and examine different food processing systems and use them in the field of application. As a result of the study, it was identified that the participants believed that 3D printing is a great modern technology that allows the development of new foods, that it will bring benefit to us in the future, reduce the cost of food and food waste, increase the sustainability of food and that they see it as environmentally friendly. In addition, it was determined that the participants did not think that 3D-printed foods were disgusting; they found these foods reliable, could try them in the future and were excited to experience them.

The United Nations (UN) adopted Sustainable Development Goals (SDGs); agenda 2030 focuses on Climate Action (goal 13), targeting climate adaptability, as well as resilience, awareness and improving policy mechanisms on climate change. In order to enhance climate adaptability, climate-smart agricultural practices (CSAP) is a necessary step. CSAP is a sustainable agriculture approach with a strong focus on climate dimensions. The three pillars of climate-smart agriculture (CSA) are ‘Adaptation’: adapting to climate change; ‘Resilience’: building resilience against it and ‘Remove’: reducing carbon emissions. The new world economy uses Industry 4.0 technologies for sustainable advancement, including blockchain technology, big data analytics, artificial intelligence (AI), augmented and virtual reality, industrial Internet of Things (IoT) and services. Hence, technology plays a significant role in climate sustainable agriculture practices. This chapter shall consider three technologies consisting of IoT, AI and blockchain technology which contribute to CSAP in pre-harvesting (monitoring climate as well as fertility status, soil testing, etc.), harvesting (tilling, fertilisation, seed operations, etc.) and post-harvesting (predicting weather factors, seed varieties, etc.) periods of agriculture. All these three technologies work like the human nervous system; IoT helps in converting various information regarding demography, climate change, local agricultural needs, etc. into world data; AI works like a brain in combination with IoT, helps predict the use of climate-smart technology and blockchain, the memory part of the nervous system which deals with supply-side and ensures traceability as well as transparency for consumers as well as farmers. Hence, this chapter shall contribute to the importance of these three technologies in adopting CSAP in three stages of agriculture.

Growing environmental challenge awareness among consumers is today's business reality that pushes for sustainable product development. Governments, industries, and consumers' attention are significantly moved from traditional products to eco-friendly product development. Green product development is the future for manufacturing businesses' survival in most markets. Green product development is an emerging phenomenon and, unfortunately, lacks theoretical and empirical research regarding effective organizational policies and practices for green product development. This study aims at filling research gaps towards green product development by highlighting green employee aspects influenced by leadership for sustainable business growth. The study hypothesized relations between the green effect of transformational leadership on green product development as an outcome through green behaviour, green climate, and green innovative creativity. Data was collected from small and medium enterprises (SMEs) of Karachi through a self-administered survey questionnaire. Results revealed significant support for hypothesized relations through the partial least square statistical tool. This study contributes theoretical and empirical advancement in past literature wherein leadership style influences employee behaviour that leads to predict product development from an environmental perspective. Study inferences suggest for visionary green leadership style for sustainable business growth. Limitations of this study regarding other variable inclusiveness, sampling, and geography are potential extensions for further scholarly investigation.

Despite increasingly persuasive women-focused marketing of gambling products, there has only been limited investigation around women sports betting. Men remain the focus of much of the conversation about sports betting as they have generally been found to be the most active sports bettors and the most at risk of experiencing harms associated with their behaviour. This chapter aims to fill this gap by exploring the characteristics of young women sports bettors in the United Kingdom and the relationship between sports betting and the experience of gambling harms. To do this, we created two models of analysis. Our analysis is based on data from the first wave (2019) of the Emerging Adults Gambling Survey (EAGS) dataset (n = 3,549). The EAGS is a non-probability longitudinal survey that includes individuals between the ages of 16 and 24 who were residents in Britain at the time of data collection. Firstly, we examined the associations between women sports bettors and several factors identified as important predictors of sports betting. Secondly, we sought to understand the relationship between women's sports betting and the harms associated with this activity. From these models, we found that women's sports betting was most reliably predicted according to fandom and peer influence. We also found that women sports bettors were more at risk of experiencing harms associated with difficulties with family and friends than women gamblers using other products.

Shortages of personal protective equipment (PPE) across the United States at the start of the COVID-19 pandemic created entrepreneurial opportunities for sewists and makers. In the United States in March and April 2020, masks were not readily available to the general public from existing retailers and PPE for medical use was being rationed for healthcare workers. Sewists and crafters, professionals and amateurs alike, began making and selling and/or donating masks. For individuals with sewing skills and time, sewing and selling masks became a lifeline financially, personally, and socially. To understand the experiences of people who made and distributed handmade masks during the early months of the pandemic in the United States, an interdisciplinary team developed an online cross-sectional survey instrument using a qualitative-dominated approach with both open and closed questions. This chapter explores themes identified from a sample of 94 participants, predominantly female-identifying, who created an enterprise or added a product line to an existing business. The sample includes individuals who did not identify as a ‘creative entrepreneur’ prior to the pandemic but did identify as an entrepreneur after starting a mask-making venture. Informed by entrepreneurship literature, the authors observed that these nascent entrepreneurs articulated recognisable motivations for social entrepreneurship, showed signs of pre-existing entrepreneurial mindsets, and employed business models and marketing tactics of entrepreneurs, largely without any business training. Implications for the study include increased recognition of latent entrepreneurial readiness, interest of women in social entrepreneurship, and higher levels of business knowledge among women than previously recognised.

Today's marketing is dominated by decision-making based on artificial intelligence and machine learning. This study focuses on one semi- and unsupervised machine learning technique, generative adversarial networks (GANs). GANs are a type of deep learning architecture capable of generating new data similar to the training data that were used to train it, and thus, it is designed to learn a generative model that can produce new samples. GANs have been used in multiple marketing areas, especially in creating images and video and providing customized consumer contents. Through providing a holistic picture of GANs, including its advantage, disadvantage, ethical considerations, and its current application, the study attempts to provide business some strategical orientations, including formulating strong marketing positioning, creating consumer lifetime values, and delivering desired marketing tactics in product, promotion, pricing, and distribution channel. Through using GANs, marketers will create unique experiences for consumers, build strategic focus, and gain competitive advantages. This study is an original endeavor in discussing GANs in marketing, offering fresh insights in this research topic.

Purpose: The concept of sustainability in the livelihood of rural people is the central point for the discussion for policymakers. Different policies for poverty reduction, developing economies, and environment management are not capable of using multimedia technology for rural entrepreneurial development.

Need of the Study: The study analyses the impact of multi-media and tries to understand its significance for rural enterprises to contribute to developing entrepreneurship in rural areas to minimise poverty.

Methodology: This research analysed a framework that highlights that multi-media technology offers different ways to earn a sustainable livelihood by enhancing the range of advanced technology, access to information assets, increased social networks, information transfer system, and modernisation of traditional working. A total of 450 rural entrepreneurs were contacted to collect the data from 6 different divisions of Haryana through a questionnaire on 5-point scale. A purposive sampling technique was used for primary data collection.

Findings: The multi-media technology influences rural entrepreneurial development through certain organisational factors, new products and services, improved customer service, generation of employment opportunities over time, increased loyalty, and novel combination of resources within the specific context.

Practical Implications: The study concludes the capabilities may be utilised up to maximum advantages that increase with the use of multi-media technology in the rural framework.