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The purpose of the study is to examine the dynamics in the troika of asset pricing, volatility, and the business cycle in the US and Japan.

The study uses a six-factor asset pricing model to derive the realized volatility measure for the GARCH-type models.

The comprehensive empirical investigation led to the following conclusion. First, the results infer that the market portfolio and human capital are the primary discounting factors in asset return predictability during various phases of the subprime crisis phenomenon for the US and Japan. Second, the empirical estimates neither show any significant impact of past conditional volatility on the current conditional volatility nor any significant effect of subprime crisis episodes on the current conditional volatility in the US and Japan. Third, there is no asymmetric volatility effect during the subprime crisis phenomenon in the US and Japan except the asymmetric volatility effect during the post-subprime crisis period in the US and full period in Japan. Fourth, the volatility persistence is relatively higher during the subprime crisis period in the US, whereas during the subprime crisis transition period in Japan than the rest of the phases of the subprime crisis phenomenon.

The study argues that the empirical investigations that employed the autoregressive method to derive the realized volatility measure for the parameter estimation of GARCH-type models may result in incurring spurious estimates. Further, the empirical results of the study show that using the six-factor asset pricing model in an intertemporal framework to derive the realized volatility measure yields better estimation results while estimating the parameters of GARCH-type models.

Social media platforms allow near‐unfettered creation and exchange of user generated content (UGC). Drawing from network science, the purpose of this paper is to examine whether high and low quality UGC differ in their connectivity structures in Wikipedia (which consists of interconnected user generated articles).

Using Featured Articles as a proxy for high quality, a network analysis was undertaken of the revision history of six different language Wikipedias, to offer a network‐centric explanation for the emergence of quality in UGC.

The network structure of interactions between articles and contributors plays an important role in the emergence of quality. Specifically the analysis reveals that high‐quality articles cluster in hubs that span structural holes.

The analysis does not capture the strength of interactions between articles and contributors. The implication of this limitation is that quality is viewed as a binary variable. Extensions to this research will relate strength of interactions to different levels of quality in UGC.

The findings help harness the “wisdom of the crowds” effectively. Organisations should nurture users and articles at the structural hubs from an early stage. This can be done through appropriate design of collaborative knowledge systems and development of organisational policies to empower hubs.

The network centric perspective on quality in UGC and the use of a dynamic modelling tool are novel. The paper is of value to researchers in the area of social computing and to practitioners implementing and maintaining such platforms in organisations.

Success of a television game show requires brand‐building effort and brand value management like any other product. However, aspects of information, entertainment, novelty, instant gratification, and experience dimensions are more salient in game shows. This has been amply proven by the television game show Who Wants To Be A Millionaire. The purpose of this research is to explore why some entertainment products succeed, while others fail.

In this paper, we present the system dynamic model of brand management of the game show Kaun Banega Crorepati (KBC), the Indian version of Who Wants To Be A Millionaire. Initially, we present the reference mode behaviour, drawn from published data. In the dynamic model, we include factors such as channel popularity, host popularity, prize money, and competition that work towards building the viewership and influencing operational revenues. Computer‐based simulation and experimentalism are then applied as a research method to the model to explore its dynamic behaviour.

Our analysis shows that the right mix of host popularity, channel popularity and prize money has enabled KBC to achieve unprecedented success.

Validation of the model is based on the strength that the simulation results can replicate the reference mode behaviour and produce behaviour expected under extreme conditions. The validated model is used to draw what‐if scenarios, some of which resemble the experiences of competing game shows.

Understanding the dynamics of brand management of this game show can serve as an important tool for brand management of entertainment products. Further, the use of system dynamics for dynamic modelling of brand value has application in broader areas of marketing, and would be of interest to a wide managerial audience.

This paper is based on the personal connections of the four authors to Shivaji Park, the largest public space in Mumbai. Three of the authors are childhood friends and were once long-term residents of that area. The focus of this article is Shivaji Park, anecdotally the largest park in the island city of Mumbai, with its historical connotations and its ongoing role as a relational and cultural artefact in the lives of these authors. The ongoing member status of all four authors in connection with the public space is explored despite all of them now ceasing to be locals.

This article uses a qualitative approach utilising informal conversations between the four authors recorded on zoom as the research method. Supported by belonging and emotional reflexivity as conceptual frames, it investigates how the spatial context fosters a binding relationality, which is ongoing despite the now disparate locations of the authors.

Based on a critical analysis of the recorded conversations between the authors the findings highlight that belonging/unbelonging centres around emotionally tinged representations of place.

The core of this paper rests in the emotional connections between the authors based on their collective memories with a public space and its surrounding areas as a focus. The use of informal conversations is crucial in teasing out nuanced aspects of data collected based on human relationalities. The paper emphasises the repercussions of ongoing changes stemming from urban progress. They incur emotional and human costs through a “culling” of connections and belongings.

Adoption of integrated MOS based pseudo-resistor (PR) structures instead of using off-chip passive poly resistors for analog circuits in complementary metal oxide semiconductor technology (CMOS) is an area-efficient way for realizing larger time constants. However, issue of common-mode voltage shifting and excess dependency on the process and temperature variations introduce nonlinearity in such structures. So there is dire need to not only closely look for the origin of the problem with the help of a thorough mathematical analysis but also suggest the most suitable PR structure for the purpose catering broadly to biomedical analog circuit applications.

In this work, incremental resistance (IR) expressions and IR range for balanced PR (BPR) structures operating in the subthreshold region have been closely analyzed for broader range of process-voltage-temperature variations. All the post-layout simulations have been obtained using BSIM3V3 device models in 0.18 µm standard CMOS process.

The obtained results show that the pertinent problem of common-mode voltage shifting in such PR structures is completely resolved in scaled gate linearization and bulk-driven quasi-floating gate (BDQFG) BPR structures. Among all BPR structures, BDQFG BPR remarkably shows constant IR value of 1 TΩ over −1 V to 1 V voltage swing for wider process and temperature variations.

Various balanced PR design techniques reported in this work will help the research community in implementing larger time constants for analog-mixed signal circuits.

The PR design techniques presented in the present piece of work is expected to be used in developing tunable and accurate biomedical prosthetics.

The BPR structures thoroughly analyzed and reported in this work may be useful in the design of analog circuits specifically for applications such as neural signal recording, cardiac electrical impedance tomography and other low-frequency biomedical applications.

In Dhaka, dynamic spaces are produced through the everyday informal practices of common people, street vending being one such practice. This way of appropriating space through vending has seemed to evolve, as a new trend of street food vendors occupying a section of a street in the evening has emerged. The aim of this research is to investigate the informal activity of street food vending as a part of transforming culture in the global south. This paper focuses on the cultural shift from street food as a supplementary activity to street food as the main primary activity in a public space and its manifestations in space and time. Bailey Road, a secondary street in an affluent mixed-use area of Dhaka, Bangladesh, is taken as the area of investigation.

The study follows an empirical research method. First, the nature of informality, particularly in the case of traditional street vending, is studied through observation and existing literature. Then the shift in the spatial practice of street vending is investigated through participant observation and interviews, as well as secondary research.

The findings suggest that the notion of informality has undergone significant transformation, and the spatial practices suggest a hybrid condition between formality and informality that has produced a peculiar way of appropriating space.

While there has been a significant volume of research on street-food vending focusing on the socio-economic and political aspects, the relation between the cultural aspects of street-food vending and its spatial production has remained largely unexplored.

Extant research on comparative advertising has focused only on “market leader” comparisons (a brand targeting the market leader), whereas in the marketplace, “multi-brand” comparisons are more prevalent (Kalro et al., 2010). Moreover, most research focuses on direct comparisons only. Hence, this research aims to investigate the interplay between comparison ad strategy (“market leader”/“multi-brand” comparisons) and comparison ad format (direct/indirect comparisons) on the effectiveness of comparative advertising.

This paper uses four 2 × 2 fully crossed factorial designs (comparison ad format: direct vs indirect and comparison ad strategy: market leader vs multi brand) with established and new brands in two categories: powdered detergents and smart phones. All studies were conducted in metropolitan cities of India.

By and large, the experiments indicated that direct (indirect) comparisons lowered (heightened) perceived manipulative intent and enhanced (reduced) attitude-toward-the-ad for multi-brand (market leader) comparisons.

Findings suggest that when advertisers use comparative advertising, they may use direct ads when using multi-brand comparisons and use indirect ones when using market leader comparisons. It could also be argued that when advertisers use multi-brand comparisons because of fragmentation in the marketplace, they may directly compare against these multiple brands. When advertisers need to compare against a market leader, they may do so indirectly.

This research is among the first to investigate multi-brand comparisons that are widely used in the industry and that too in the context of both direct and indirect comparison formats.

This study aims to understand holistic consumer perceptions of quality and their effect on re-purchase intentions by measuring the latent characteristics of online Amazon reviews.

Data was collected from entries in the Amazon customer review data set, which explicitly mentions quality, economic evaluation and future purchase intention. The analyses included natural language processing, structural topic modeling and econometric analysis. The study used real-time customer reviews to determine the overall perceived quality, the impact of perceived quality on re-purchase intention and the mediating roles of price consciousness and customer satisfaction.

Consumers’ perception of overall quality includes product- and service-related dimensions. Perceived quality influences re-purchase intentions through the mediating role of customer satisfaction. While price consciousness impacts the link between perceived quality and customer satisfaction, it does not affect re-purchase intention.

The managerial implications emphasize multiple dimensions of quality in the online environment and the role of customer satisfaction in consumers’ online re-purchase intentions. The results also illustrate that price effects are insignificant in influencing re-purchase intentions. Thus, while price cuts may encourage initial purchases, quality and customer satisfaction are vital to stimulate re-purchase.

The e-commerce literature lacks a comprehensive and rigorous understanding of the components of consumers’ perceived quality. This research develops a thorough understanding of what impacts overall e-commerce quality based on real-time customer reviews, avoiding the biases arising from traditional methods, including surveys.

The purpose of this paper is to describe key policy and practice issues regarding a significant subgroup of people with intellectual disability – those with offending behaviour being treated in forensic hospitals.

The reasons why psychiatrists continue to be involved in the treatment of people with intellectual disability and mental health or behavioural problems and the factors that may lead to patients needing hospital admission are examined. Using two illustrative examples, three key questions – containment vs treatment, hospital care vs conditional discharge and hospital treatment vs using deprivation of liberty safeguards usage in the community are explored.

Patients with intellectual disability, mental health problems and offending behaviours who are treated within forensic inpatient units tend to have long lengths of stay. The key variable that mediates this length of stay is the risk that they pose to themselves or others. Clinicians work within the framework of mental health law and have to be mindful that pragmatic solutions to hasten discharge into the community may not fall within the law.

This paper makes practical suggestions for the future on how to best integrate hospital and community care for people with intellectual disability, mental health and offending behaviours.

This will not be an overstatement to state that the micro, small and medium enterprise (MSME) industry is crucial and the vital driver of the world economy. It covers different fields and dimensions such as defense products, electrical components and low-cost products. The sector plays a vital role in rendering work with low capital expenditure and is one of the emerging pillars of the Indian economy. Given the significance of this sector in contributing towards India's gross domestic product (GDP), it becomes appropriate to resolve all the issues related to MSME on a primary basis for ensuring required support. The recent global pandemic of COVID-19 has impacted this sector to a great extent. This research study targets the MSME industry and points out the directly linked enablers adding to improve the sector's resiliency and sustainability. Therefore, identification and the interrelationship between the MSME enablers need to be studied, which helps make a preliminary list that deals with their impedance benefaction towards resiliency increment.

The writers have done a comprehensive literature analysis of the enablers for the MSME sector to enable effectively and efficiently during emergencies and pandemics. An endeavor has been made on the enablers to order them by utilizing the modified Total Interpretative Structure Modelling (m-TISM) technique. Authentication of this research work highlights the significance of enablers and their position in a hierarchical structure. Further, MICMAC investigation on the recognized enablers is performed to arrange them in the four quadrants on their dependence and driving power.

The authors have attempted to predict the significance of the MSME sector and its essential contribution to the development of India's economy. The result of m-TISM in the current research work revealed the essential commitment of a hierarchical design dealing with the MSME considering the viewpoint of future development. The well-planned traditional design in the MSME helps establish better government policies and programs and transport infrastructure.

Every research study has a few restrictions. Likewise, the boundaries of the current study are that inputs collated for fostering the models are from a few specialists that may not mirror the assessment of the whole MSME sector.

The MSME sector is the developing sector in the current day, and it is needed to keep supporting the sector for the country's development. The current study has set out the functional establishment to improve MSME practicality. In addition, the research highlights the accountability of the MSME authorities to go with the identified enablers having solid driving power for successful usage of the available resources. This will help the MSME development and add value to practitioners and policymakers in the future.

The growth of this sector is essential for the development of the economy and the development of a nation. The current study presents a unique structure that gives a superior comprehension of the enablers. It will help play a crucial role in developing the MSME area. The structure model developed with the assistance of m-TISM and MICMAC examine the identified enablers with inputs from experts in the field. The hierarchy developed from the study recognized the enablers located on their commitment of suitability development of the MSME field.