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The purpose of this study is to outline a process-oriented psychology informed view of the impact of ever-increasing acuity within an adult inpatient system and conceptualise how an integrated therapies team (ITT) can work with the chaos that this brings.

A reflective scientist-practitioner based approach was used over a two-year period.

Several factors lead to “chaos” in an inpatient unit, including societal inequality, the trauma and adversity it creates and the impact of this at a systemic, interpersonal and intrapersonal level. Chaos is one means of coping and can dominate inpatient working, whereas understanding the underlying distress is often marginalised. Developing an ITT can support working with chaos. The ITT holds the therapeutic perspective for the wider multi-disciplinary team (MDT) and therapeutic and facilitation skills are central to how it operates. Processing the chaos and working with the underlying distress is its overarching function.

Developing an ITT offers a robust structure for evolving inpatient MDT working to cope with increasing acuity in a psychologically informed way.

The chaos in question is often viewed as patients’ issue but from a collectivist perspective it is something that all members of society are responsible for.

To the best of the authors’ knowledge, this is the first paper to conceptualise the chaos on an inpatient ward as a process needed by the system as a way of coping and propose the addition of an ITT to inpatient working.

The present field-based case study is related to topics in marketing area, more specifically brand management, strategic marketing and business strategy.

This case is primarily meant for second-year students in a postgraduate program in business management (MBA). The case could also be discussed in an executive development program on marketing/business strategy.

The present case is based on Aava natural mineral water, the brainchild of Mr Behram Mehta, Chairman of Shelpee Enterprises. The case explores at the various marketing strategies adopted by Aava in India. The case traces the brand's foray into the Indian bottled water market as a regional players and its growth as a pan Indian brand. However, in early 2012, the majority of Aava's sales were coming through institutional sales. The brand was facing a challenge of trying to find a foothold in the retail market. The balance between becoming a mass and a premium brand was also looming large. The major question that Aava needed to answer is whether it should restrict itself to the B2B market or whether it should try to penetrate the retail market. Given the latter is more beneficial for the company, the issues of product, pricing and brand communication needed to be revisited since these are not similar for B2B and B2C brands.

The various learning outcomes of the case include: understanding the differences between B2B and B2C marketing and the need for different strategies for both, apply marketing research findings to introduce a product in a market, evaluate and execute marketing communication strategies based on human behaviour for more effectiveness, evaluate alternatives leading to the right choice of branding/marketing strategy, understand the role of 4Ps of marketing for successful business and industry analysis.

Teaching notes are available for educators only. Please contact your library to gain login details or email support@emeraldinsight.com to request teaching notes.

The last few years have witnessed massive artificial intelligence (AI) and gaming adoption that has navigated the emerging markets. Moreover, according to the WOG summit (world government summit report, by Nielsen) 2020 reports, AI with gaming mechanisms are expected to enrich marketing services in the coming future in the emerging markets. Countries such as India, China and South Korea contribute significantly to this area, and recent forecasting allows the need to increase in emerging markets. Similarly, these countries have a maximum number of youth gamers and AI-driven technology adopters. The adoption of AI-driven technologies and amplification of gamification in marketing services are new phenomena. Moreover, gaming and AI dynamics are relatively new in emerging countries and need greater attention. Thus, this book chapter proposes a dyad model that would explain users' and companies' perspectives to understand the role of AI and gamification for the emerging markets. The chapter will explain how AI-driven gamification helps the users of emerging markets. The chapter will also illustrate how companies in emerging markets use AI for gamification. Therefore, the dyad model would also comprehend the gap, opportunities and challenges in this area and the subsequent strategies to help all the stakeholders.

Using the most recent dataset from 2013–2014 to 2017–2018, the study examines the efficiency of 75 coal-fired power plants in the Indian thermal power sector. The authors obtained robust estimates of efficiency scores by employing Seiford and Zhu’s (2002) DEA-based classification invariance technique to account for CO₂ emissions as an undesirable output. Meta-frontier analysis and the Tobit regression are used to compute technology heterogeneity across power plants belonging to public and private groups and investigate the factors driving carbon-adjusted efficiency, respectively. The results reveal that, on average, the efficiency of power plants during the study period is 78.26%, showing significant room for reduction in CO₂ emissions alongside augmentation in electricity generation. Private plants are more efficient than public ones, and relative performance inefficiency is the primary source of inefficiency in the thermal power sector. Regression analysis indicates that domestic-equipped plants perform with lesser levels of efficiency, and plants with more units are more inefficient than plants with fewer units. Carbon productivity significantly improves efficiency since fewer fossil fuels with high carbon will generate more electricity.

This research is the first to use bibliometric analysis to provide insight into the landscape and forecast the future of customer experience research in the banking sector.

We used bibliographic coupling and co-word analysis to delineate the existing knowledge structure after reviewing 338 articles from the Web of Science database.

The bibliographic coupling analysis revealed five key clusters: customer engagement and experience in digital banking; customer experience and service management; customer experience and market resilience; digital transformation and customer experience; and digital technology and customer experience—each representing a significant strand of current research. In addition, the co-word analysis revealed four emerging themes: customer experience through AI and blockchain, digital evolution in banking, experience-driven ecosystems for customer satisfaction, and trust-based holistic banking experience.

These findings not only sketch an overview of the current research domain but also hint at emerging areas ideal for scholarly investigation. While highlighting the industry’s rapid adaptation to technological advances, this study calls for more integrative research to unravel the complexities of customer experience in the evolving digital banking ecosystem.

This review presents a novel state-of-the-art analysis of customer banking experience research by employing a science mapping via bibliometric analysis to unveil the knowledge and temporal structure.

The purpose of this study if to investigate the effects of show windows on shopping behaviour among female consumers to provide insights that a manager can use to encourage purchase behaviour.

On the basis of 20 in-depth interviews, we developed a survey, which we administered to female consumers (n = 209). The survey was based on a stimulus–organism–response framework. Each respondent was exposed to an image of a show window (images were taken from apparel departments of well-known department stores) and rated her perceptions of the window and intentions to purchase items sold in the store.

Using factor analysis, we identify five components of the show window: social, hedonic, informational, image and “feel-good” factors. The first four factors are aggregated into a “show window” metric, which is shown to influence purchase intentions; this influence is fully mediated by the feel-good factor. The image factor and the social and hedonic factors each significantly influence the feel-good factor.

When developing show windows, brand managers should aim to touch on all factors of the show window to make shoppers “feel good”; these positive feelings might intensify shoppers’ purchase intentions.

This study identifies five factors that make up consumers’ perceptions of show windows. It shows that exposure to a show window affects consumers’ purchase intentions, and that this influence is determined primarily by the extent to which consumers “feel good” about the store.

Luxury brands’ marketing efforts have traditionally focussed on developed nations since that has comprised the majority of consumer demand. However, double-digit growth in developing nations such as India and China, have attracted the attention of most luxury brand managers. Using cue utilization theory, the authors conducted a qualitative study in two phases comprised of first, focus group discussions (FGD), structured observations (SO) and second, In-Depth Interviews (IDI) to understand the effects of country of origin (COO) on Indian consumers’ current day purchasing behaviors with luxury products. The paper aims to discuss these issues.

Using cue utilization theory, the authors conducted a qualitative study in two phases comprised of first, FGD, SO and second, IDI to understand the effects of COO on Indian consumers’ current day purchasing behaviors with luxury products. A conceptual framework has been developed that should help luxury brands formulate marketing strategies for this booming market.

Further, this study found that COO affects the exploration of luxury brands and this process is carried out digitally and primarily with friends. Luxury brand managers can insert detailed information about COO on web sites and can understand the keywords used in the search engines to facilitate consumers using appropriate consideration data. This research also found that COO is compared on the basis of quality, features and innovation.

The results of this study are only from one emerging country, i.e., India. Similar studies should be carried out in other emerging nations. Additionally, developed countries can also carry out comprehensive research in this domain as their behavior is also changing for COO and luxury brands.

This insight can be used by the brand managers and they can develop apps and web sites that would help the consumers to compare the COO for their products. Additionally, this research found that COO helps the luxury consumers to evaluate the brands and how they associate it with consumer images. Luxury brand managers need to be conscious when their countries products/ brands have been rated low by the consumers as it could result in consumers simply discarding them from their consideration set.

The purpose of this paper is to identify the correlates of crop insurance adoption and estimate the impact on debt and farm income.

The authors used nationally representative data from National Sample Survey Office (NSSO), which consisted of 35,200 farming households. Logit and propensity score matching (PSM) (nearest neighbor, caliper and kernel matching) techniques were used.

With only around 5% of households insuring their crops and 87% of them not receiving claims, crop insurance in India has failed. Logit model estimates of correlates of adoption indicated that households with larger family size, lower social group, less education, lower standard of living and poor were more likely to be left out of the ambit of crop insurance. Further, propensity score estimates suggested that households with access to crop insurance had significantly lesser outstanding debt with positive effect on input costs and crop income. The authors’ results were in contrast to the risk balancing theory.

Results of our work encourage us to rethink and restructure the crop insurance policy design in India. With credit and insurance markets interlinked by design and as the risk balancing in the farm business found absent, policies to strengthen both the markets are the need of the hour. To encourage more farmers to take up crop insurance, revenue-based indemnity calculation could be tried in India.

Impact estimates from three different algorithms of matching were compared and tested for robustness. Consistent average treatment effect on treated (ATT) was considered for interpretation and policy implications. Since the data are from a nationally representative survey, results are believed to be of extreme value to policy makers and insurance providers as it can be generalized.

This paper aims to identify various macroeconomic variables that affect the stock market performance of developed and emerging economies. It also investigates the effect of these factors on the stock markets of both economies. The impact of these variables on broad market indices and sectoral indices is investigated and compared too.

The publications for the study were retrieved from databases such as Emerald Insight, EBSCO, ScienceDirect and JSTOR using the keywords “Macroeconomic variables” and “Stock market” or “Stock market performance.” The result demonstrated a growing corpus of scholarly work in the domain of stock market. The study was carried out separately for each macroeconomic indicator. Given a large number of articles under consideration, the authors began by reading the titles and abstracts of all publications to identify those that were relevant. The papers are evaluated in Excel and the articles for review range from 1972 to 2021.

The authors found that gross domestic product (GDP), FDI (Foreign Direct Investment) and FII (Foreign Institutional Investment) have a positive effect on both emerging and developed economies’ stock market while gold price has a negative effect. Interest rates had a negative impact on both economies except for a few developing countries. The relationship with oil prices was positive for oil exporting countries while negative for oil importing countries. Inflation, money supply and GDP are the macroeconomic variables that have the same effect on sectoral indices as they do on broad market indices. The impact was sector-specific for the remaining variables.

This paper gives an overview of relation and effect covering variety of macroeconomic variables and stock market indices. Still, there is a scope for further research to analyze the effect on thematic, strategy and sectoral indices. A longer time horizon with new variables, such as bank deposit growth rate, nonperforming assets of banks, consumer confidence index and investor sentiment, can be studied using high-frequency data. This research may help stakeholders adopt and manage their policies during a crisis or economic slump.

This study will assist investors, researchers and educators in the fields of economics and finance in understanding how macroeconomic factors affect the stock market. Furthermore, this study can guide in portfolio diversification strategy across multiple sectors by examining the impact of macroeconomic factors specific to sectoral indices. This paper provides insight into society and researchers since it integrates a number of macroeconomic variables and their interaction with the stock market. It may also help pension funds and mutual fund firms to hedge their funds and allocate equity portfolios.

With respect to India, this study looked at new macroeconomic variables and sectors. It contrasted the impact of these variables in developed and developing economies. The effect of broad and sectoral stock indexes was also investigated and compared. The authors examined how these variables responded during crisis and economic downturns by using articles from a longer time frame. This research also looked into how changing the frequency of data for the variables altered stock performance. This paper emphasized the need for more research into thematic, strategy and broad market indices, such as small-cap and mid-cap indices.

This study aims to understand how perceived desirability and perceived feasibility influence Portuguese higher education students' social entrepreneurial intention and general entrepreneurial intention and explore how gender attitudes can affect these relationships.

This study's sample comprises 391 participants. The hypotheses formulated in the research model were tested through structural equation modelling, using the bootstrapping method to perform decomposition tests and multigroup analyses to assess the effect of gender on perceived desirability, perceived feasibility and social and general entrepreneurial intention.

The sample data reveal that women have a greater social entrepreneurial intention, and men have a greater general entrepreneurial intention. The results regarding the research model reveal that perceived desirability positively influences social and general entrepreneurial intention, with stronger relationships for men than for women. However, perceived feasibility positively influences overall entrepreneurial intention but is insignificant in explaining social entrepreneurial intention. When the differences between genders are analysed, the perceived feasibility by women is significant and positively influences the social entrepreneurial intention, not being significant when men are considered. Contrary to previous studies about higher education students, men have a higher perceived desirability in both general and social entrepreneurial intentions, while women have a stronger perceived feasibility in both general and social entrepreneurial intentions.

This paper contributes to the development of the social entrepreneurship literature, demonstrating that social entrepreneurial intention can be influenced by gender. The results show the importance of considering the spatial and organisational context in examining the relationships between perceived desirability/perceived feasibility and social entrepreneurial intentions of men and women.