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Article

Vishal Pradhan and Sonali Bhattacharya

Researchers have studied processes of improving road traffic-safety culture by explicitly evaluating the socio-psychological phenomenon of traffic-risk. The implicit…

Abstract

Purpose

Researchers have studied processes of improving road traffic-safety culture by explicitly evaluating the socio-psychological phenomenon of traffic-risk. The implicit traffic-system cues play an important role in explaining urban traffic-culture. This paper aims to ascertain an interpretive framework of the alternative processes of road traffic safety culture is antecedent to promote traffic-safety behaviour in Indian urban context. Subsequently, the authors discussed the reasons for those relationships exists.

Design/methodology/approach

Four experts of the urban traffic-safety domain participated in total interpretive structural modelling (TISM) study by completing an interpretive consensus-driven questionnaire. The drafted interpretive model was evaluated for road users proactive action orientation about the traffic-safety decision.

Findings

The evolved directed graph (digraph) of the culture of urban traffic-safety management was a serial three-mediator model. The model argued: In the presence of traffic-risk cues, people may become apprised to safety goals that initiate traffic-safety action. Consequently, expectancy-value evaluation motivates the continuation of traffic-safety intention that may lead to the implementation of adaptation plan (volitional control), thus habituating road users to traffic-safety management choice.

Practical implications

The modellers of traffic psychology may empirically estimate and test for the quality criteria to ascertain the applicability of the proposed mechanism of urban traffic-safety culture. The decision-makers should note the importance of arousal of emotions regarding traffic-risk, reduce the impact of maladaptive motivations and recursively improve control over safety actions for promoting safety interventions.

Originality/value

The authors attempted to induce an interpretive model of urban traffic-safety culture that might augment extant discussion regarding how and why people behave in an urban traffic system.

Details

International Journal of Innovation Science, vol. 13 no. 1
Type: Research Article
ISSN: 1757-2223

Keywords

Abstract

Details

South Asian Journal of Business Studies, vol. 8 no. 3
Type: Research Article
ISSN: 2398-628X

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Book part

Shivinder Nijjer, Kumar Saurabh and Sahil Raj

The healthcare sector in India is witnessing phenomenal growth, such that by the year 2022, it will be a market worth trillions of INR. Increase in income levels…

Abstract

The healthcare sector in India is witnessing phenomenal growth, such that by the year 2022, it will be a market worth trillions of INR. Increase in income levels, awareness regarding personal health, the occurrence of lifestyle diseases, better insurance policies, low-cost healthcare services, and the emergence of newer technologies like telemedicine are driving this sector to new heights. Abundant quantities of healthcare data are being accumulated each day, which is difficult to analyze using traditional statistical and analytical tools, calling for the application of Big Data Analytics in the healthcare sector. Through provision of evidence-based decision-making and actions across healthcare networks, Big Data Analytics equips the sector with the ability to analyze a wide variety of data. Big Data Analytics includes both predictive and descriptive analytics. At present, about half of the healthcare organizations have adopted an analytical approach to decision-making, while a quarter of these firms are experienced in its application. This implies the lack of understanding prevalent in healthcare sector toward the value and the managerial, economic, and strategic impact of Big Data Analytics. In this context, this chapter on “Predictive Analytics in Healthcare” discusses sources, areas of application, possible future areas, advantages and limitations of the application of predictive Big Data Analytics in healthcare.

Details

Big Data Analytics and Intelligence: A Perspective for Health Care
Type: Book
ISBN: 978-1-83909-099-8

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Article

Priyanka Jain, Vishal Vyas and Ankur Roy

This paper aims to study the weak form of efficiency of Indian capital market during the period of global financial crisis in the form of random walk.

Abstract

Purpose

This paper aims to study the weak form of efficiency of Indian capital market during the period of global financial crisis in the form of random walk.

Design/methodology/approach

The study considered daily closing prices of S&P CNX Nifty, BSE, CNX100, S&P CNX 500 from April 1, 2005 to March 31, 2010. The data source is the equity market segment of NSE and BSE. Both parametric and nonparametric tests (“ex‐posts” in nature) are applied for the purpose of testing weak‐form efficiency. The parametric tests include Augmented Dickey‐Fuller (ADF) unit root tests and nonparametric tests include Phillips‐Perron (PP) unit root tests and Run test. ADF tests use a parametric autoregressive structure to capture serial correlation and PP tests use non‐parametric corrections based on estimates of the long‐run variance of ΔYt.

Findings

The results suggested that the Indian stock market was efficient in its weak form during the period of recession. It means that investors should not be able to consistently earn abnormal gains by analysing the historical prices. Hence one should not be able to make a profit from using something that everybody else knows.

Practical implications

The study reports that all the stocks in these selected indices are fundamentally strong and their prices are not influenced largely by historical prices and other relevant factors which came from industry and any other information that is publically available. Thus it can be concluded that the Indian stock market was informationally efficient and no investor can usurp any privileged information to make abnormal profits.

Originality/value

Where past studies have examined the weak‐form of efficiency of various markets and the effect of globalisation and global financial crisis on the various sectors of developing and emerging economies, this paper attempts to study the weak form of efficiency of the Indian capital market in the period of recession in the form of random walk.

Details

Journal of Advances in Management Research, vol. 10 no. 1
Type: Research Article
ISSN: 0972-7981

Keywords

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Article

Sudhir Ambekar, Anand Prakash and Vishal Singh Patyal

The purpose of this paper is to propose a low carbon culture (LCC) adoption model for gaining the right carbon capabilities by integrating the dimensions of flexibility or…

Abstract

Purpose

The purpose of this paper is to propose a low carbon culture (LCC) adoption model for gaining the right carbon capabilities by integrating the dimensions of flexibility or control and external or internal of competing values framework (CVF) with that of level of carbon emission (LCE).

Design/methodology/approach

This study reviewed literature related to low carbon supply chain, CVF and carbon capabilities to synthesize currently available frameworks for assessing culture and carbon-related insights. Based on these insights, this study proposes the carbon culture adoption model and presents some research propositions.

Findings

This study has extended categorization of culture suggested in CVF from four categories to eight distinct categories by adding “LCE” as a third dimension. The new categories of carbon culture are: “Red,” “Antagonist,” “Obligatory,” “Early Adopter,” “Follower,” “Transitive,” “Pragmatist” and “Green.” This categorization of organizations would help in selecting appropriate low carbon practices (LCPs).

Research limitations/implications

This study presents purely conceptual framework with some research propositions which needs to be empirically tested.

Practical implications

Organizations can formulate right policies for low carbon capabilities based on the LCC of their supply chain.

Originality/value

With increasing awareness about environment across stakeholders, organizations around the world are under pressure to reduce their carbon footprints. The extent of reduction in carbon footprints depends on the right capabilities across the supply chain which in turn depends on selection of the right combination of LCPs based on the supply chain culture.

Details

Journal of Manufacturing Technology Management, vol. 30 no. 1
Type: Research Article
ISSN: 1741-038X

Keywords

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Article

Pranav Chauhan, Arun K. Das, P.K. Nanda, Vishal Kumbhar and J.P. Yadav

Black cumin (Nigella sativa L.) is well known for its strong, hot, peppery taste and has many nutritional, pharmaceutical and traditional therapeutic uses. The aim of this…

Abstract

Purpose

Black cumin (Nigella sativa L.) is well known for its strong, hot, peppery taste and has many nutritional, pharmaceutical and traditional therapeutic uses. The aim of this study was to investigate the antioxidant effect of different solvent extracts of black cumin seed to retard lipid and protein oxidation in raw ground pork meat during refrigerated storage (4 ± 1°C) for nine days.

Design/methodology/approach

Black cumin extracts (BCEs) were prepared using different solvents, namely, ethanol, water, ethanol:water (60:40) and methanol:hot water (60:40). Extracts were analysed for total phenolic content (TPC), 1,1 diphenyl-2-picrylhydrazil (DPPH) radical scavenging activity and reducing power. Based on the results, water extract (WE) and ethanol–water extract (EHWE) of black cumin were selected and incorporated at 1.5 per cent into freshly minced pork meat and compared with a synthetic antioxidant, butylated hydroxytoluene (BHT; 100 ppm), in retarding lipid and protein oxidation. Treated and control samples were aerobically packed in low-density polyethylene bags for analysis of various parameters (pH, colour and odour score, peroxide, lipid and protein oxidation) during nine-day refrigerated storage study.

Findings

Results showed that BCEs had a good amount of TPC (4.4-7.4 mg gallic acid equivalents/g) and also DPPH scavenging activities (33.96-44.23 per cent), with WE and EHWE extracts showing highest reducing power and promising antioxidant capacity. Hence, BCEs (WE and EHWE) incorporated at 1.5 per cent into freshly minced pork meat was tested, compared to BHT (100 ppm) and control samples, in retarding lipid and protein oxidation during storage. In BCE-treated samples, thiobarbituric acid reacting substances, free fatty acids, peroxide, formation of protein carbonyls and off-odour or rancid odour development were lower than control and values were comparable with BHT. Incorporation of BCE did not negatively affect the colour of ground pork.

Originality/value

BCEs (WE and EHWE) at 1.5 per cent inhibited protein and lipid oxidation and it could be exploited commercially as an effective alternative in retarding oxidative deterioration of meat products.

Details

Nutrition & Food Science, vol. 48 no. 1
Type: Research Article
ISSN: 0034-6659

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Article

Cigdem Gonul Kochan and David R. Nowicki

The study of supply chain resilience (SCRES) continues to gain interest in the academic and practitioner communities. The purpose of this paper is to present a focused…

Abstract

Purpose

The study of supply chain resilience (SCRES) continues to gain interest in the academic and practitioner communities. The purpose of this paper is to present a focused review of the SCRES literature by investigating supply chain (SC) capabilities, their relationship to SCRES outcomes and the underpinning theoretical mechanisms of this relationship.

Design/methodology/approach

The paper uses the systematic literature review approach to examine 383 articles published between 2000 and 2017, ultimately down selecting to the most relevant 228 peer-reviewed studies. Context-interventions-mechanisms-outcomes (CIMO) logic is applied to organize and synthesize these peer-reviewed studies. A typological framework is developed from the CIMO-based classification of the SCRES literature.

Findings

The findings of this study outline the gaps in the SCRES literature and present an agenda for future research.

Research limitations/implications

This paper presents an exploratory research; therefore, the typological model presented is just one of the possible perspectives.

Practical implications

The typology of SCRES literature can help practitioners to understand SCRES and to measure and assess the resilience of SCs.

Originality/value

The paper provides clear definitions of SCRES constructs, develops a typological framework to further understand SCRES and identifies SCRES measures and assessment techniques.

Details

International Journal of Physical Distribution & Logistics Management, vol. 48 no. 8
Type: Research Article
ISSN: 0960-0035

Keywords

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