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Evidence of overprescribing of psychotropic medicines to manage challenging behaviour in people with intellectual disabilities has led to national programmes within the UK to promote deprescribing, such as stopping the overprescribing of medication in people (with learning disabilities, autism or both). To successfully implement deprescribing initiatives, we need to understand how to engage stakeholders in the process.

In a published systematic review, we reported evidence about the process of deprescribing psychotropic medicines for people of all ages with intellectual disabilities and challenging behaviour. As a part of the original review, we searched for evidence about stakeholders’ experiences of the psychotropic deprescribing process, which was synthesised and reported within the current study.

Six studies were identified. Involving carers and people with intellectual disabilities, providing ongoing support and improving access to non-pharmacological interventions, including positive behaviour support, may contribute to successful outcomes, including reducing or stopping psychotropic medicines and improving quality of life. Implementing psychotropic deprescribing requires a multidisciplinary collaborative care approach and education for stakeholders.

There have been no previous reviews of stakeholder experiences of deprescribing psychotropic medications for people with intellectual disabilities and challenging behaviour. The existing literature is scant, and further research is needed.

This study aims to analyse the factors that caused Indian tourists to avoid travelling abroad because of the recent outbreak of COVID-19 in 2020. It will also identify the relationship between the perceived risk of travelling and the probability of travel evading in India owing to COVID-19.

This study used an online structured questionnaire to collect data from Indian tourists to study six independent variables linked with their behavioural intentions (travel evading). The health belief model was used to examine tourist behaviour.

The results revealed a positive correlation between the perceived risk associated with COVID-19 and travel avoidance. Familiarity with COVID-19 was positively correlated with travel evading behaviours.

This study will assist stakeholders from around the world to adequately identify and thoroughly plan for logistical problems associated with travel such as travel insurance and pre-travel booking expenses to reduce travel evading behaviour and promote travel.

While a few studies have been conducted related to pandemics (Ebola, MERS-CoV, SARS), there is a paucity of literature that examines the factors which influence tourists’ travel evading behaviour owing to COVID-19. Moreover, most of the previous literature on pandemics is concentrated on American and European countries, whereas studies on the Indian sub-continent are very scarce. This study will fill this gap and will identify the factors which influence tourists in India to evade travel in response to COVID-19.

Indigenous entrepreneurship is not only driven by capitalistic ideas as inherent in Eurocentric microentrepreneurial thinking but also focuses on communal approaches where entire communities can gain social and/or economic benefits. The authors, who all worked at The University of the South Pacific in Fiji, share how they work and engage with students and indigenous communities involved in tourism microenterprises. Based on the authors' research and experience in the region, this chapter discusses the following two issues and their related best practices and implications. First, the balance and sometimes tensions between entrepreneurial self-benefit and benefit-sharing; and second, female participation and the related opportunities for empowerment of indigenous communities through tourism microentrepreneurship.

The purpose of this paper is to study integrated inventory system and pricing and ordering strategy for vendor‐buyer supply chain system. Here, the vendor offers a trade credit to the buyer when the buyer's order quantity exceeds a given pre‐specified quantity. Therefore, to incorporate the concept of vendor‐buyer integration and trade credit linked, the authors analyze the model to determine the optimal strategy for an integrated vendor‐buyer inventory system under the condition of credit linked to the order quantity when demand is quadratic.

A mathematical model for integrated inventory system is developed when demand rate is increasing function of the time and decreasing function of the retail price. By analyzing the total channel profit function, the authors developed some useful results to characterize the optimal solution and provide an iterative algorithm to find the retail price, buyer's order quantity and the number of shipments per production run from the vendor to the buyer.

By developing a solution algorithm, the optimal retail price, order quantity and number of shipments from the vendor to the buyer are provided. Numerical examples and sensitivity analyses are presented to validate the proposed model. Through extensive numerical analyses, it is observed that a longer credit term increases profits of the player for the entire supply chain. The vendor should establish the threshold for allowing trade credit comprehensively to ensure the greatest benefit for both players.

Most of the research articles available in the literature considered the constant demand or linearly changing demand. In this paper, a mathematical model is developed considering time dependent quadratic demand. Very few researchers have investigated joint optimal policy in vendor‐buyer supply chain system, considering trade credit is linked to order quantity, and still there are not many findings on the benefit of integrated policy and trade credit.

This study explores consumers' intentions to utilize online food delivery services (OFDS) in a shared economy beyond the COVID-19 pandemic, employing the protection motivation theory (PMT) as the underlying framework.

Utilizing a random sampling technique, a quantitative approach was employed to gather responses from 347 Australian consumers. The proposed model was tested through covariance-based structural equation modelling.

The findings of this study demonstrate significant positive relationships between restaurant credibility, food quality, e-service quality, price, online food delivery applications, consumer e-satisfaction and e-loyalty. It reveals that consumers satisfied with OFDS may continue exhibiting e-loyalty intentions in a shared economy beyond COVID-19. The relationship between consumer e-satisfaction and e-loyalty intention is moderated by consumer-perceived COVID-19 risk.

This study offers practical implications for online food delivery providers, restaurants, regulators, application developers and policymakers. These implications aim to enhance the e-service quality, price value, usefulness and security of OFDS, along with strategies to improve the online food delivery application.

This study contributes to the existing body of knowledge by examining a unique selection of antecedents, including the OFDS app, to determine consumer e-satisfaction and e-loyalty in the context of a shared economy beyond COVID-19. The utilization of the OFDS app as a second-order construct adds a meaningful contribution to the OFDS literature. Furthermore, this study investigates and contributes to the limited understanding of the moderation effect of consumer-perceived COVID-19 risk on consumer e-satisfaction and their intended continued use of OFDS.

The domains of Industry 4.0 and Smart Farming encompass the application of digitization, automation, and data-driven decision-making principles to revolutionize conventional sectors. The intersection of these two fields has numerous opportunities for industry, society, science, technology and research. Relatively, this intersection is new, and still, many grey areas need to be identified. This research is a step toward identifying research areas and current trends.

The present study examines prevailing research patterns and prospective research prospects within Industry 4.0 and Smart Farming. This is accomplished by utilizing the Latent Dirichlet Allocation (LDA) methodology applied to the data procured from the Scopus database.

By examining the available literature extensively, the researchers have successfully discovered and developed three separate research questions. The questions mentioned above were afterward examined with great attention to detail after using LDA on the dataset. The paper highlights a notable finding on the lack of existing scholarly research in the examined combined field. The existing database consists of a restricted collection of 51 scholarly papers. Nevertheless, the forthcoming terrain harbors immense possibilities for exploration and offers a plethora of prospects for additional investigation and cerebral evaluation.

This study examines the Industrial Revolution's and Smart Farming's practical effects, focusing on Industry 4.0 research. The proposed method could help agricultural practitioners implement Industry 4.0 technology. It could additionally counsel technology developers on innovation and ease technology transfer. Research on regulatory frameworks, incentive programs and resource conservation may help policymakers and government agencies.

The paper proposes that the incorporation of Industry 4.0 technology into agricultural operations can enhance efficiency, production and sustainability. Furthermore, it highlights the significance of creating user-friendly solutions specifically tailored for farmers and companies. The study indicates that the implementation of supportive legislative frameworks, incentive programmes and resource conservation methods might encourage the adoption of smart agricultural technologies, resulting in the adoption of more sustainable practices.

This study examines the Industrial Revolution's and Smart Farming's practical effects, focusing on Industry 4.0 research. The proposed method could help agricultural practitioners implement Industry 4.0 technology. It could additionally counsel technology developers on innovation and ease technology transfer. Research on regulatory frameworks, incentive programs and resource conservation may help policymakers and government agencies.

Based on a thorough examination of existing literature, it has been established that there is a lack of research specifically focusing on the convergence of Industry 4.0 and Smart Farming. However, notable progress has been achieved in the field of seclusion. To date, the provided dataset has not been subjected to analysis using the LDA technique by any researcher.

Environmental sustainability is quickly becoming one of the most critical issues in industry development. This study aims to conduct a systematic literature review through which the author can provide various research areas to work on for future researchers and provide insight into Industry 4.0 and environmental sustainability.

This study accomplishes this by performing a backward analysis using text mining on the Scopus database. Latent semantic analysis (LSA) was used to analyze the corpus of 4,364 articles published between 2013 and 2023. The authors generated ten clusters using keywords in the industrial revolution and environmental sustainability domain, highlighting ten research avenues for further exploration.

In this study, three research questions discuss the role of environmental sustainability with Industry 4.0. The author predicted ten clusters treated as recent trends on which more insight is required from future researchers. The authors provided year-wise analysis, top authors, top countries, top sources and network analysis related to the topic. Finally, the study provided industrialization’s effect on environmental sustainability and the future aspect of automation.

The reliability of the current study may be compromised, notwithstanding the size of the sample used. Poor retrieval of the literature corpus can be attributed to the limitations imposed by the search words, synonyms, string construction and variety of search engines used, as well as to the accurate exclusion of results for which the search string is insufficient.

This research is the first-ever study in which a natural language processing technique is implemented to predict future research areas based on the keywords–document relationship.

During a press conference at the Imperial Hotel in Delhi on 13 March 2001, the Internet news site, Tehelka.com, showed secret video footage of senior politicians, bureaucrats, and army officers accepting money in a fake defense deal. Two journalists from Tehelka, Anirudha Bahal and Mathew Samuel, posed as arms dealers from a fictitious arms company called West End International to sell nonexistent handheld thermal cameras to senior officials of the Ministry of Defense (MOD) in India. Bahal and Samuel paid bribes to politicians, civil servants, and army officers to procure government contracts. The journalists used three hidden cameras to videotape the corrupt politicians and officials accepting the bribes, with the most dramatic video clip showing the Bharatiya Janata Party (BJP) President, Bangaru Laxman, accepting a wad of currency notes from them. Laxman later claimed that he was not guilty of wrongdoing for accepting Rs. 100,000 (US$2,170) as a donation for the BJP. Describing the episode as “concocted,” he added that he had given the donation to the BJP's treasurer (BBC News, 2001a).

The objective of the study is to analyze the impact of the adoption of the Agile Mindset on the productivity of Agile software development teams in IT enterprises during COVID-19.

A web-based survey is performed with voluntary participants working with the Agile software development professionals with a specific focus on IT enterprises around Pune, India. For this the initial exploratory literature review was performed, to explore the team's behaviors and their response to the crises like the Covid-19 pandemic. Data is collected from the targeted population using the random sampling method. A questionnaire is designed with the help of a five-point Likert scale. All the respondents were analyzed based on their behaviors shown and how adopting to Agile mindset has impacted their productivity during the pandemic. Collected data would be then analyzed using the Smart PLS-SEM methodology.

Findings of the study show that Agile software development teams adopting to Agile mindset are better at responding to crisis and quick to adapt to change as teams adopting the Agile mindset is likely to sustain or even improve their productivity during the crises like Covid-19 pandemic. Adapting to an Agile mindset is important for Agile software development teams during a crisis as a response to changes in the working as well as environmental conditions. This study also shows that by adopting an Agile mindset, development teams are better at responding to the crisis eventually improving productivity.

Research limitations for this study-scope of the study could be extended to the larger population across geographies to have improved insights Productivity Factors like- Efforts Efficiency, Backlog-management Index (BMI), and Weighted Average Productivity (VWP) for team members can be included. More behavioral factors for Agile Mindset can be considered.

Agile software development teams are characterized by collaboration and responsibility. Recent enforcement of pandemic precautionary measures has enforced Agile software development teams to work remotely and maintain social distancing while in the office. It was challenging for most of the working people to adjust to the new working conditions (Yang et al., 2021) However, in IT organizations, adopting the Agile mindset has ensured continuous software deliveries, took ownership, and quickly adapted to the volatile situations, ultimately resulting into the growth in the productivity unlike to that of other sectors of the economy.

In this study, we have analyzed the hypotheses with statistical significance in association with constructs that are in sync with the available literature. Adopting the Agile mindset values has positively impacted the team's behavior resulting in productivity improvement even in the distributed working locations in pandemic situations.

The study highlights that adopting to Agile mindset has positively impacted an Agile software development team's productivity during the Covid-19 pandemic. As environmental conditions during Covid-19 were uncertain and ambiguous and teams were working in distributed and disconnected ways, many researchers have believed that it would have affected the overall productivity. This was turned true for most of the sectors of the economy, however, Agile software development teams have shown positive trends in their productivity, as they have adopted the Agile mindset values and principles, during crises.

The learning outcomes of this paper is as follows: to explain the importance of rationalizing business operations to achieve efficiencies. To explain the importance of constantly re-inventing the product portfolio and the business for the survival and growth of the business. To discuss the use of product-market expansion strategies as used by businesses for growth and sustainability. To evaluate the internal challenges faced by a company as they adopt business strategies for business growth. To discuss a firm’s strategy to exploit significant opportunities in an evolving business environment.

Panasonic Life Solutions India Limited (PLSIND) an electrical products company with operations in India – an emerging market has set a Vision 2022 to achieve INR 69.21bn revenue target by the year 2022. PLSIND is marketed through the distributor business to consumer sales channel. To achieve the new growth targets, it was imperative for them to expand the product portfolio and explore marketing through the new business to business (B2B) and business to government (B2G) sales channels. Dinesh Aggarwal the Joint Managing Director of PLSIND was tasked with this responsibility. Both propositions depicted attractive business potential but at the same time came with additional risks of a longer sales/revenue cycle. PLSIND to a certain extent had ventured into new business projects with the launch of home automation, solar solutions for industries and smart street lighting business projects. In 2019, they also made a modest beginning by achieving revenues of INR 3.4bnn (constituting 10% of their aggregate revenues of INR 34bn) from B2B/B2G sales channels. Aggarwal believed that this was a good beginning. However, to achieve 2022 growth targets, they had to aggressively move forward with the new business strategy. Aggarwal had to work with the management team to gain acceptance and then to manage these additional risks for growth that came with this new business strategy. How could he win the confidence of the management team? How could he best reorganize the business teams and processes internally to enhance the required operational efficiencies for business growth?

This case is designed for business students at the MBA or executive MBA level courses.

Teaching notes are available for educators only.

CSS 11: Strategy.