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The increasing accumulation of synthetic plastic waste in oceans and landfills, along with the depletion of non-renewable fossil-based resources, has sparked environmental concerns and prompted the search for environmentally friendly alternatives. Biodegradable plastics derived from lignocellulosic materials are emerging as substitutes for synthetic plastics, offering significant potential to reduce landfill stress and minimise environmental impacts. This study highlights a sustainable and cost-effective solution by utilising agricultural residues and invasive plant materials as carbon substrates for the production of biopolymers, particularly polyhydroxybutyrate (PHB), through microbiological processes. Locally sourced residual materials were preferred to reduce transportation costs and ensure accessibility. The selection of suitable residue streams was based on various criteria, including strength properties, cellulose content, low ash and lignin content, affordability, non-toxicity, biocompatibility, shelf-life, mechanical and physical properties, short maturation period, antibacterial properties and compatibility with global food security. Life cycle assessments confirm that PHB dramatically lowers CO₂ emissions compared to traditional plastics, while the growing use of lignocellulosic biomass in biopolymeric applications offers renewable and readily available resources. Governments worldwide are increasingly inclined to develop comprehensive bioeconomy policies and specialised bioplastics initiatives, driven by customer acceptability and the rising demand for environmentally friendly solutions. The implications of climate change, price volatility in fossil materials, and the imperative to reduce dependence on fossil resources further contribute to the desirability of biopolymers. The study involves fermentation, turbidity measurements, extraction and purification of PHB, and the manufacturing and testing of composite biopolymers using various physical, mechanical and chemical tests.

Budget hotels are becoming an emerging industry for convenience and affordability, where consumer sentiments are of paramount importance. Tourism has become increasingly dependent on social media and online platforms to gather travel-related information, purchase travel products, food, lodging, etc., and share views and experiences. The user-generated data helps companies make informed decisions through predictive and behavioural analytics.

Design/Methodology/Approach: This study uses text mining, deep learning, and machine learning techniques for data collection and sentiment analysis based on 117,151 online reviews of the customers posted on the TripAdvisor website from May 2004 to May 2019 from 197 hotels of five prominent budget hotel groups spread across India using Feedforward Neural Network along with Keras package and Softmax activation function.

Findings: The word-of-mouth turns into electronic word-of-mouth through social networking sites, with easy access to information that enables customers to pick a budget hotel. We identified 20 widely used words that most customers use in their reviews, which can help managers optimise operational efficiency by boosting consumer acceptability, satisfaction, positive experiences, and overcoming negative consumer perceptions.

Practical Implications: The analysis of the review patterns is based on real-time data, which is helpful to understand the customer’s requirements, particularly for budget hotels.

Originality/Value: We analysed TripAdvisor reviews posted over the last 16 years, excluding the Corona period due to industry crises. The findings reverberate in consonance with the performance improvement theory, which states feed-forward a neural network enhances organisational, process, and individual-level performance in the hospitality industry based on customer reviews.

In 1920 Margaret Sanger called voluntary motherhood “the key to the temple of liberty” and noted that women were “rising in fundamental revolt” to claim their right to determine their own reproductive fate (Rothman, 2000, p. 73). Decades later Barbara Katz Rothman reflected on the social, political and legal changes produced by reproductive-rights feminists since that time. She wrote: So the reproductive-rights feminists of the 1970s won, and abortion is available – just as the reproductive-rights feminists of the 1920s won, and contraception is available. But in another sense, we did not win. We did not win, could not win, because Sanger was right. What we really wanted was the fundamental revolt, the “key to the temple of liberty.” A doctor’s fitting for a diaphragm, or a clinic appointment for an abortion, is not the revolution. It is not even a woman-centered approach to reproduction (2000, p. 79).

The World Bank report Changing Wealth of Nations 2018 is only the most recent reminder of how much poorer Africa is becoming, losing more than US$100 billion annually from minerals, oil, and gas extraction, according to (quite conservatively framed) environmentally sensitive adjustments of wealth. With popular opposition to socioeconomic, political, and ecological abuses rising rapidly in Africa, a robust debate may be useful: between those practicing anti-extractivist resistance, and those technocrats in states and international agencies who promote “ecological modernization” strategies. The latter typically aim to generate full-cost environmental accounting, and to do so they typically utilize market-related techniques to value, measure, and price nature. Between the grassroots and technocratic standpoints, a layer of Non-Governmental Organizations (NGOs) do not yet appear capable of grappling with anti-extractivist politics with either sufficient intellectual tools or political courage. They instead revert to easier terrains within ecological modernization: revenue transparency, project damage mitigation, Free Prior and Informed Consent (community consultation and permission), and other assimilationist reforms. More attention to political-economic and political-ecological trends – including the end of the commodity super-cycle, worsening climate change, financial turbulence and the potential end of a 40-year long globalization process – might assist anti-extractivist activists and NGO reformers alike. Both could then gravitate to broader, more effective ways of conceptualizing extraction and unequal ecological exchange, especially in Africa’s hardest hit and most extreme sites of devastation.

Purpose — To provide a theoretical background to understand current local search engines as an aspect of specialized search, and understand the data sources and used technologies.

Design/methodology/approach — Selected local search engines are examined and compared toward their use of geographic information retrieval (GIR) technologies, data sources, available entity information, processing, and interfaces. An introduction to the field of GIR is given and its use in the selected systems is discussed.

Findings — All selected commercial local search engines utilize GIR technology in varying degrees for information preparation and presentation. It is also starting to be used in regular Web search. However, major differences can be found between the different search engines.

Research limitations/implications — This study is not exhaustive and only uses informal comparisons without definitive ranking. Due to the unavailability of hard data, informed guesses were made based on available public interfaces and literature.

Practical implications — A source of background information for understanding the results of local search engines, their provenance, and their potential.

Originality/value — An overview of GIR technology in the context of commercial search engines integrates research efforts and commercial systems and helps to understand both sides better.

The increasing importance and proliferation of text data provide a unique opportunity and novel lens to study human communication across a myriad of business and marketing applications. For example, consumers compare and review products online, individuals interact with their voice assistants to search, shop, and express their needs, investors seek to extract signals from firms' press releases to improve their investment decisions, and firms analyze sales call transcripts to increase customer satisfaction and conversions. However, extracting meaningful information from unstructured text data is a nontrivial task. In this chapter, we review established natural language processing (NLP) methods for traditional tasks (e.g., LDA for topic modeling and lexicons for sentiment analysis and writing style extraction) and provide an outlook into the future of NLP in marketing, covering recent embedding-based approaches, pretrained language models, and transfer learning for novel tasks such as automated text generation and multi-modal representation learning. These emerging approaches allow the field to improve its ability to perform certain tasks that we have been using for more than a decade (e.g., text classification). But more importantly, they unlock entirely new types of tasks that bring about novel research opportunities (e.g., text summarization, and generative question answering). We conclude with a roadmap and research agenda for promising NLP applications in marketing and provide supplementary code examples to help interested scholars to explore opportunities related to NLP in marketing.

In The Changing Body (Cambridge University Press and NBER, 2011), we presented a series of estimates showing the number of calories available for human consumption in England and Wales at various points in time between 1700 and 1909/1913. We now seek to correct an error in our original figures and to compare the corrected figures with those published by a range of other authors. We also include new estimates showing the calorific value of meat and grains imported from Ireland. Disagreements with other authors reflect differences over a number of issues, including the amount of land under cultivation, the extraction and wastage rates for cereals and pulses and the number of animals supplying meat and dairy products. We consider recent attempts to achieve a compromise between these estimates and challenge claims that there was a dramatic reduction in either food availability or the average height of birth cohorts in the late-eighteenth century.

Internet + and Electronic Business in China is a comprehensive resource that provides insight and analysis into E-commerce in China and how it has revolutionized and continues to revolutionize business and society. Split into four distinct sections, the book first lays out the theoretical foundations and fundamental concepts of E-Business before moving on to look at internet+ innovation models and their applications in different industries such as agriculture, finance and commerce. The book then provides a comprehensive analysis of E-business platforms and their applications in China before finishing with four comprehensive case studies of major E-business projects, providing readers with successful examples of implementing E-Business entrepreneurship projects.

Internet + and Electronic Business in China is a comprehensive resource that provides insights and analysis into how E-commerce has revolutionized and continues to revolutionize business and society in China.