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1 – 10 of over 1000
Article
Publication date: 28 July 2023

Vivek Agnihotri and Saikat Kumar Paul

This paper aims to understand the spatiotemporal influence of metro rail connectivity on housing prices in surrounding areas. The study assesses the average annual price shift for…

Abstract

Purpose

This paper aims to understand the spatiotemporal influence of metro rail connectivity on housing prices in surrounding areas. The study assesses the average annual price shift for apartments around metro stations in Delhi during the previous decade, specifically from 2010 to 2019. The authors examine the spatiotemporal extents to which housing prices are determined by the prominence of metro stations and spatial development around metro stations.

Design/methodology/approach

The authors perform the cross-tabulation analysis to calculate chi-square values to test the hypotheses concerning the responsiveness of the housing market in Delhi to the number of locational variables in the areas connected with the mass public transportation system.

Findings

The empirical findings verify the existence of a housing market overvaluation in Delhi around metro stations until 2013, which was eventually re-adjusted after 2014. The key findings of the study suggest the role of location variables concerning metro rails in the shooting up of the housing prices in the city. In addition, the research establishes the association of annual housing price shifts to the metro rails in the short-term, mid-term and long-term in conjunction with the distance from the metro station.

Originality/value

In the market, the prices are often overvalued by real estate agents due to better connectivity to the metro stations. The overvaluation eventually causes massive downfalls in housing markets and rollouts as a risk for the investors. However, the effect of mass transportation on housing prices is mixed in nature, limited to a certain extent only and not as influential as frequently portrayed by the market forces. This effect loses colour with time.

Details

International Journal of Housing Markets and Analysis, vol. 17 no. 1
Type: Research Article
ISSN: 1753-8270

Keywords

Article
Publication date: 25 September 2023

Vikas Gupta, Antonino Galati and Savita Sharma

This research investigates how foreign tourists' revisit intentions are influenced by their local food consumption (LFC) value by emphasizing their attitude towards the local food…

Abstract

Purpose

This research investigates how foreign tourists' revisit intentions are influenced by their local food consumption (LFC) value by emphasizing their attitude towards the local food and the corresponding destination food image. It will also reveal the foreign tourists' food consumption value and explore its influences on the destination's food image.

Design/methodology/approach

The data collection was performed from 433 foreign tourists who visited Delhi, India, using a structured survey instrument and chief constructs were measured as the first-order reflective variables. The 39 items associated with the LFC value underwent both exploratory and confirmatory evaluations. The authors employed partial least square structural equation modeling (PLS-SEM). The model's discriminant and convergent validity, consistency and overall fit were evaluated using confirmatory factor analysis (CFA).

Findings

The findings revealed that “tourists' attitudes and behaviors toward the local cuisine” had a significant and positive influence on their “intention to visit/revisit” and “intention to recommend”. Also, “destination food image” significantly and positively influenced the “intention of tourist to visit/revisit”; however, it negatively and insignificantly influenced the “intention of tourists to recommend”.

Research limitations/implications

This research used five variables related to LFC—quality, health/nutrition, emotion, prestige and price—that impact tourists' attitudes and behaviors toward local foods in Delhi. However, in addition to these constructs, other factors or constructs may be involved that could affect the tourists' attitudes and behaviors. Future studies might explore and include these constructs to provide a more comprehensive image of Delhi's LFC value.

Originality/value

Understanding tourists' food-linked behaviors is critical for effective market conduct. However, the interrelations between travelers' destination food image, LFC value, their perceptions of the local cuisine and behavioral intentions are still unknown, and this will be one of the first attempts to discuss these behaviors.

Details

British Food Journal, vol. 125 no. 12
Type: Research Article
ISSN: 0007-070X

Keywords

Article
Publication date: 31 July 2023

Shreya Jha, Shashi Kant, Nishakar Thakur, Pradeep Kumar, Sanjay Rai, Partha Haldar, Priyanka Kardam, Puneet Misra, Kiran Goswami and Shobini Rajan

Prisoners are at a higher risk of HIV infection compared to the general population. The purpose of this study is to estimate the prevalence of HIV and related risk behaviours…

Abstract

Purpose

Prisoners are at a higher risk of HIV infection compared to the general population. The purpose of this study is to estimate the prevalence of HIV and related risk behaviours among inmates of the Central Prisons in four states of North India.

Design/methodology/approach

The HIV sentinel surveillance was conducted in seven Central Prisons in four states of North India from February to April 2019. Four hundred inmates were included from each prison. The interviews were conducted at the Integrated Counselling and Testing Centre located within the prison premises. The Ethics Committee of the National AIDS Control Organization, New Delhi, granted ethical approval before the start of the surveillance.

Findings

Overall, 2,721 inmates were enrolled in this study. The mean (SD) age was 38.9 (13.9) years. One-third of prison inmates had comprehensive knowledge about HIV/AIDS. The proportion of convict (54%) and undertrial (46%) inmates was almost equal. The overall prevalence of HIV infection among inmates was 0.96% (95% CI 0.65–1.40). The odds of being HIV positive were significantly higher in never married inmates, undertrials, inmates who were in the prison for more than three months to one year, inmates incarcerated for multiple times, inmates with history of injecting drug use and inmates with history of intercourse with a commercial sex worker.

Originality/value

The findings from the very first HIV sentinel surveillance in central prisons in North India have been presented in this paper. This has huge implications for future policy decisions.

Details

International Journal of Prisoner Health, vol. 19 no. 4
Type: Research Article
ISSN: 1744-9200

Keywords

Article
Publication date: 11 January 2024

Raunaq Chawla, Eric Soreng and Avinash Kumar

A prime objective of the Swachh Bharat Abhiyan (SBA; Clean India Mission) is to motivate people to segregate their household waste. The purpose of this study is to assess the…

Abstract

Purpose

A prime objective of the Swachh Bharat Abhiyan (SBA; Clean India Mission) is to motivate people to segregate their household waste. The purpose of this study is to assess the ground reality of waste management behaviour of Delhi residents with the help of a modified Value–Belief–Norm (VBN) model. Past researches point the need to include cost as a variable in the VBN model. This study fulfils this need and tests cost as one of the variables on the gathered data.

Design/methodology/approach

The research data were gathered by interacting with the people and the civic staff in the jurisdiction of the three Delhi municipalities through a stratified sampling technique (N = 250). The structural equation modelling was used to analyse the collected data.

Findings

The modified VBN model explains the waste management behaviour, but the variables do not follow the exact causal chain. Values, awareness of consequences, ascription of responsibility and personal norms all explain the resident's waste management behaviour. However, cost limits the resident's waste management behaviour.

Research limitations/implications

The study could only achieve a moderate model fit; its sample size was small; and data were collected through self-reported questionnaire.

Practical implications

Three main practical implications of the study are: (1) While designing waste management solutions, due importance must be given to the cost to be borne by people for adopting these solutions. (2) Design such interventions that target residents' values to convince them to make the desired behavioural change. (3) People need be educated about the ways to sort waste and made aware of the importance of waste segregation in eradicating the urban waste mess.

Originality/value

The paper is an original contribution to testing a modified VBN model in predicting waste management behaviour. The modified model includes cost as a variable missing in the previous research. This research is useful in the backdrop of the SBA and provides suggestions for policymakers and pro-environment researchers.

Details

Management of Environmental Quality: An International Journal, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1477-7835

Keywords

Article
Publication date: 25 July 2023

Itishree Choudhury and Seema Singh

Participation of women in engineering education is considerably low in India, although it is increasing in recent years. Also, engineering is primarily treated as a male-dominated…

Abstract

Purpose

Participation of women in engineering education is considerably low in India, although it is increasing in recent years. Also, engineering is primarily treated as a male-dominated profession, and the authors do not find many women in this sector. What factors contribute to this significant gender differences in engineering education and labour market in India? In this context, this study aims to examine the factors that explain the gender variations in academic performance and labour market outcomes (placement and earnings) of engineering graduates in India.

Design/methodology/approach

The paper is based on primary survey data from fourth-year engineering students in Delhi, collected in 2018–2019, with a total sample size of 3186. The study uses Ordinary least square method (OLS) and Heckman selection model to analyse gender differences in academic performance and labour market outcomes of engineering graduates, respectively.

Findings

The study finds that academic performance of male students is around 10.4% more than female students. However, this difference is heavily influenced by various socioeconomic and institutional factors. Interestingly, 3% of female engineering graduates have received more job offers than males, which contradicts the common belief that women engineers face job discrimination in the labour market in India. However, the authors find that male engineers earn around 7% more than female engineers shows the evidence of pro-male gender wage inequality in earnings. The findings support that there is a considerable variation in academic performance and earnings between male and female engineering graduates.

Originality/value

While the authors find some literature in the area of gender difference in the academic performance and labour market among university graduates in India, studies in the field of engineering education are sparse. In a context where fewer women are found in the field of engineering education along with low participation in the labour market, the findings of this study significantly contribute to the policy making.

Details

International Journal of Manpower, vol. 44 no. 8
Type: Research Article
ISSN: 0143-7720

Keywords

Article
Publication date: 12 March 2024

Ravinder Kumar Verma, P. Vigneswara Ilavarasan and Arpan Kumar Kar

Digital platforms (DP) are transforming service delivery and affecting associated actors. The position of DPs is impacted by the regulations. However, emerging economies often…

Abstract

Purpose

Digital platforms (DP) are transforming service delivery and affecting associated actors. The position of DPs is impacted by the regulations. However, emerging economies often lack the regulatory environment to support DPs. This paper aims to explore the regulatory developments for DPs using the multi-level perspective (MLP).

Design/methodology/approach

The paper explores regulatory developments of ride-hailing platforms (RHPs) in India and their impacts. This study uses qualitative interview data from platform representatives, bureaucrats, drivers, experts and policy documents.

Findings

Regulatory developments in the ride-hailing space cannot be explained as a linear progression. The static institutional assumptions, especially without considering the multi-actors and multi-levels in policy formulation, do not serve associated actors adequately in different times and spaces. The RHPs regulations must consider the perspective of new RHPs and the support available to them. Non-consideration of short- and long-term perspectives of RHPs may have unequal outcomes for established and new RHPs.

Research limitations/implications

This research has implications for the digital economy regulatory ecosystem, DPs and implications for policymakers. Though the data from legal documents and qualitative interviews is adequate, transactional data from the RHPs and interviews with judiciary actors would have been insightful.

Practical implications

The study provides insights into critical aspects of regulatory evolution, governance and regulatory impact on the DPs’ ecosystem. The right balance of regulations according to the business models of DPs allows DPs to have space for growth and development of the platform ecosystem.

Social implications

This research shows the interactions in the digital space and how regulations can impact various actors. A balanced policy can guide the paths of DPs to have equal opportunities.

Originality/value

DP regulations have a complex structure. The paper studies regulatory developments of DPs and the impacts of governance and controls on associated players and platform ecosystems.

Details

Digital Policy, Regulation and Governance, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 2398-5038

Keywords

Article
Publication date: 15 March 2024

Namita Jain, Vikas Gupta, Valerio Temperini, Dirk Meissner and Eugenio D’angelo

This paper aims to provide insight into the evolving relationship between humans and machines, understanding its multifaceted impact on our lifestyle and landscape in the past as…

Abstract

Purpose

This paper aims to provide insight into the evolving relationship between humans and machines, understanding its multifaceted impact on our lifestyle and landscape in the past as well as in the present, with implications for the near future. It uses bibliometric analysis combined with a systematic literature review to identify themes, trace historical developments and offer a direction for future human–machine interactions (HMIs).

Design/methodology/approach

To provide thorough coverage of publications from the previous four decades, the first section presents a text-based cluster bibliometric analysis based on 305 articles from 2,293 initial papers in the Scopus and Web of Science databases produced between 1984 and 2022. The authors used VOS viewer software to identify the most prominent themes through cluster identification. This paper presents a systematic literature review of 63 qualified papers using the PRISMA framework.

Findings

Next, the systematic literature review and bibliometric analysis revealed four major historical themes and future directions. The results highlight four major research themes for the future: from Taylorism to advanced technologies; machine learning and innovation; Industry 4.0, Society 5.0 and cyber–physical system; and psychology and emotions.

Research limitations/implications

There is growing anxiety among humankind that in the future, machines will overtake humans to replace them in various roles. The current study investigates the evolution of HMIs from their historical roots to Society 5.0, which is understood to be a human-centred society. It balances economic advancement with the resolution of social problems through a system that radically integrates cyberspace and physical space. This paper contributes to research and current limited knowledge by identifying relevant themes and offering scope for future research directions. A close look at the analysis posits that humans and machines complement each other in various roles. Machines reduce the mechanical work of human beings, bringing the elements of humanism and compassion to mechanical tasks. However, in the future, smart innovations may yield machines with unmatched dexterity and capability unthinkable today.

Originality/value

This paper attempts to explore the ambiguous and dynamic relationships between humans and machines. The present study combines systematic review and bibliometric analysis to identify prominent trends and themes. This provides a more robust and systematic encapsulation of this evolution and interaction, from Taylorism to Society 5.0. The principles of Taylorism are extended and redefined in the context of HMIs, especially advanced technologies.

Details

Journal of Management History, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1751-1348

Keywords

Expert briefing
Publication date: 9 January 2024

In November, a New York court unsealed an indictment by US prosecutors in which an Indian national is accused of conspiring to murder the individual under the direction of an…

Article
Publication date: 26 December 2023

Shanu Jain, Sarita Devi and Vibhash Kumar

In the wake of the COVID-19 pandemic, remote working (RW) has emerged as a viable alternative to working employees in general and knowledge workers in particular. However…

Abstract

Purpose

In the wake of the COVID-19 pandemic, remote working (RW) has emerged as a viable alternative to working employees in general and knowledge workers in particular. However, previous researchers have worked on the concept, development and facilitation of RW since the 1970s. Therefore, this study aims to review the existing literature on RW to ascertain the evolution of the concept in the business and management domain and provide for requisite arguments to extend the settings for future research agendas.

Design/methodology/approach

The authors based this study on a bibliometric analysis of articles (n = 349) retrieved from the Web of Science database published between January 1990 and October 2021. The authors have used a bibliometric toolbox comprising performance analysis, science mapping and network analysis in various software namely, VOSviewer, Gephi and Biblioshiny package in R.

Findings

The study’s results accentuated important themes like work–life balance, strengthening digital infrastructure, performance and productivity, hybrid work models and well-being and clustered them under four heads with proposed future research questions.

Research limitations/implications

The study is based on a single database; the authors have used an extensive but not exhaustive list of keywords to retrieve the articles. The analysis employs certain threshold limits while using the science mapping technique.

Practical implications

This study would enable managers and academics to comprehensively understand remote work and offer logical implications to appreciate its nuances.

Originality/value

This study is unique as it recognizes the intellectual structure in the existing literature on RW and traces the advancements and exponential growth post-COVID-19. The authors recapitulated the literature as network analysis of the RW facilitation model comprising the antecedents, outcomes, mediators and moderators.

Details

Management Research Review, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 2040-8269

Keywords

Article
Publication date: 25 September 2023

Anchal Patil, Vipulesh Shardeo, Jitender Madaan, Ashish Dwivedi and Sanjoy Kumar Paul

This study aims to evaluate the dynamics between healthcare resource capacity expansion and disease spread. Further, the study estimates the resources required to respond to a…

Abstract

Purpose

This study aims to evaluate the dynamics between healthcare resource capacity expansion and disease spread. Further, the study estimates the resources required to respond to a pandemic appropriately.

Design/methodology/approach

This study adopts a system dynamics simulation and scenario analysis to experiment with the modification of the susceptible exposed infected and recovered (SEIR) model. The experiments evaluate diagnostic capacity expansion to identify suitable expansion plans and timelines. Afterwards, two popularly used forecasting tools, artificial neural network (ANN) and auto-regressive integrated moving average (ARIMA), are used to estimate the requirement of beds for a period when infection data became available.

Findings

The results from the study reflect that aggressive testing with isolation and integration of quarantine can be effective strategies to prevent disease outbreaks. The findings demonstrate that decision-makers must rapidly expand the diagnostic capacity during the first two weeks of the outbreak to support aggressive testing and isolation. Further, results confirm a healthcare resource deficit of at least two months for Delhi in the absence of these strategies. Also, the study findings highlight the importance of capacity expansion timelines by simulating a range of contact rates and disease infectivity in the early phase of the outbreak when various parameters are unknown. Further, it has been reflected that forecasting tools can effectively estimate healthcare resource requirements when pandemic data is available.

Practical implications

The models developed in the present study can be utilised by policymakers to suitably design the response plan. The decisions regarding how much diagnostics capacity is needed and when to expand capacity to minimise infection spread have been demonstrated for Delhi city. Also, the study proposed a decision support system (DSS) to assist the decision-maker in short- and long-term planning during the disease outbreak.

Originality/value

The study estimated the resources required for adopting an aggressive testing strategy. Several experiments were performed to successfully validate the robustness of the simulation model. The modification of SEIR model with diagnostic capacity increment, quarantine and testing block has been attempted to provide a distinct perspective on the testing strategy. The prevention of outbreaks has been addressed systematically.

Details

International Journal of Physical Distribution & Logistics Management, vol. 53 no. 10
Type: Research Article
ISSN: 0960-0035

Keywords

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