Tanya L. Swer, Komal Chauhan, Prodyut K. Paul, C. Mukhim, Khalid Bashir and Rachna Sehrawat
An upsurge in health and environmental concerns over the use of synthetic color has made the development of color from cheap and easily available natural sources, namely, plants…
Abstract
Purpose
An upsurge in health and environmental concerns over the use of synthetic color has made the development of color from cheap and easily available natural sources, namely, plants, animals, micro-organisms and algae as indispensable. This study aims to extract anthocyanins, an important natural plant pigments, from Sohiong (Prunus nepalensis). This study demonstrated that Sohiong have high anthocyanins content and antioxidant property, indicating an immense potential for the fruit producers and food processors.
Design/methodology/approach
Response surface methodology was used to optimize the conditions for extraction of anthocyanins from Sohiong using conventional solvent extraction.
Findings
The optimum conditions for extraction were found to be 36.75°C temperature, 60.32 per cent ethanol concentration and 2.39 per cent citric acid concentration with recovery of 45 per cent total extract yield, 858.84 mg C3G/100g DM anthocyanin content and 824.91 mg GAE/100g DM phenolic content with in-vitro antioxidant activity of 31.40 mmol AEAC/100g DM for FRAP and 84.66 per cent DPPH scavenging capacity (20mg/ml). The F-values and high values of adjusted determination coefficient for each response imply high level of significance of the fitted models.
Practical implications
Extracted color can be used in food and pharmaceutical industries.
Social implications
Pigment extracted is from a natural source and possesses high antioxidative activity and potential health benefits. With increasing demand for natural colors and other additives, there is a wide range of applications of the pigment as natural colorant in the food and pharmaceutical sector.
Originality/value
Selected plant source, i.e. Sohiong, was not used earlier by any researcher to extract anthocyanins for potential applications as food colorant.
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Suvidha Khanna, Komal Nagar, Vinay Chauhan and Sheetal Bhagat
The purpose of the paper is to find out how food neophobia, perceived risk and perceived value affect their consumers' attitude and consumption intention toward street-food, when…
Abstract
Purpose
The purpose of the paper is to find out how food neophobia, perceived risk and perceived value affect their consumers' attitude and consumption intention toward street-food, when researching tourists' food consumption.
Design/methodology/approach
The framework is tested using primary data collected from 445 tourists drawn from a main urban center of Jammu situated in northern India. Structural equation modeling (SEM) technique was used to analyze data using partial least squares (PLS) method.
Findings
Findings of the study provide evidence that perceived value of the street-food vendor through word of mouth (WoM) positively influenced tourists 2019 attitudes and intention to consumer street-food, while food neophobia lead to negative attitude and intention to consume. The findings further indicate that a significant negative relationship exists between perceived risk and intention to consume street-food.
Originality/value
Although several studies have been conducted in the past related to the food experiences of tourists at various destinations, the current study is the first attempt to offer an Asian perspective on and fresh insights into factors affecting tourists' street-food selection in unfamiliar environments. The paper is useful for both practitioners and academicians interested in tourist consumption behavior and food tourism, as it would help in developing effective marketing and operational strategies to develop tourism through street-vending management.
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Jitender Kumar, Ashish Gupta, Archit Vinod Tapar and Md Chand Rashid Khan
The cases highlight the challenges in running a new start-up especially by women in a developing nation such as India in a high growth industry. The success of a business depends…
Abstract
Learning outcomes
The cases highlight the challenges in running a new start-up especially by women in a developing nation such as India in a high growth industry. The success of a business depends on employee motivation, sales, marketing, functional coordination and coordinated efforts from all the executives. Experten Office Supplies Pvt. Ltd. (EXOS) was women empowered entrepreneurial startup (printing) in Mumbai established themselves as a trustable brand among their clientele for their office stationeries need. At Initial stages, they started with a good pace and growth in revenue. Directors of EXOS, Komal and Upasana Sanjay Kumar, were facing a downturn, their declining sales and were stressed regarding the resignation of their core member Pravin. The reasons for the situation were many, including unplanned motivational factors, non-risk-taking ability, no proper sales management (organization structure), planning process issues, lack of reward system and dependency on a person, less marketing initiative. These issues must be resolved to come back in the business, increase its sales, better sales organization structure. After the case analysis, students should be able to: know the key role of marketing and sales as a management function. Develop motivation policies for the salesforce and key team members in the organization. Understand the salesforce retention strategies of the organization.
Case overview/synopsis
In September 2019, directors of EXOS, Komal and Upasana Sanjay Kumar were discussing the downturn of EXOS and were stressed regarding their declining sales and profit margin. Both were disappointed at the resignation of their Business Manager. They were in worry as the new deal that they were about to get which could have made them earn, but Pravin resigned from the job in short notice. The case has short- and long-term aspects. The short-term aspect is about the decision related to EXOS’s top performer, Pravin, how to retain him, which motivational factor will help him to rethink his resignation. The long-term aspect deals with framing a motivation model that will prevent the organization from a similar situation in the future. The case outlines the human resource management issues and particularly the importance of motivation to retain the talent of a small startup firm. Directors recognize the importance of Pravin and they have a realization that the deal on which Pravin is working is critical. Under this situation, Upasana has to stop Pravin.
Complexity academic level
Undergraduate, Master of Business Administration (MBA) or in the Management Development Programs.
Supplementary materials
Teaching notes are available for educators only.
Subject code
CSS: 8 Marketing.
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Mohammad Ali Beheshtinia, Mohammad Sajjad Safarzadeh, Masood Fathi, Morteza Ghobakhloo, Mostafa Al-Emran and Ming Lang Tseng
Healthcare wastes (HCWs) present substantial environmental and societal risks, including infection and exposure to hazardous substances. The aim of this study is to present a new…
Abstract
Purpose
Healthcare wastes (HCWs) present substantial environmental and societal risks, including infection and exposure to hazardous substances. The aim of this study is to present a new multi-criteria decision-making (MCDM) method, named the ELECTOR method, for selecting the best healthcare waste disposal method (HCWDM) based on a comprehensive list of criteria. The main research question of this study is: What is the prioritization of HCWDMs considering economic, environmental, technical and social criteria?
Design/methodology/approach
This research employs a novel hybrid MCDM method to evaluate and select suitable HCWDMs. Initially, a comprehensive set of criteria for assessing and prioritizing HCWDMs is established. Criteria weights are determined using the best-worst method. Subsequently, a hybrid MCDM method is introduced to rank the HCWDMs. Fuzzy numbers are applied to handle qualitative criteria uncertainties. The proposed method is applied to a real-world case study to prioritize HCWDMs.
Findings
A total of 24 criteria, including two novel criteria (“System process speed” and “System setup speed”), for evaluating and prioritizing the HCWDMs were identified from the literature review and case study analysis. The study showed that the key criteria influencing HCWDM selection were “Operation cost”, “Occupational hazards of human resources”, and “The impact of released substances on health”. Based on the results, the autoclave, encapsulation and hydroclave methods are identified as the most suitable HCWDMs for the studied case, respectively.
Originality/value
This study introduces a novel hybrid MCDM method tailored for HCWDM selection, enhancing the robustness of the decision-making. The inclusion of innovative criteria and the integration of fuzzy numbers to address qualitative ambiguities strengthen the originality of the findings. Specifically, introducing “System process speed” and “System setup speed” contributes to expanding the criteria landscape in HCWDM research.
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Aamir Inam Bhutta, Jahanzaib Sultan, Muhammad Fayyaz Sheikh, Muhammad Sajid and Rizwan Mushtaq
Pakistan has experienced financial liberalization with rapid ups and downs in economic growth due to domestic issues during the last 2 decades. Motivated by inconclusive and…
Abstract
Purpose
Pakistan has experienced financial liberalization with rapid ups and downs in economic growth due to domestic issues during the last 2 decades. Motivated by inconclusive and conflicting time-driven findings about the performance of the business groups, this study examines the performance of business groups in Pakistan for a relatively long period from 2003 to 2018.
Design/methodology/approach
The study uses 3,821 firm-year observations from non-financial firms listed on the Pakistan Stock Exchange (PSX). For the estimation, pooled ordinary least squares (OLS) with industry- and year fixed effects and two-step system generalized methods of moments (GMM) are used.
Findings
The study finds that group-affiliated firms outperform independent firms in accounting performance, while underperform in market performance. The outperformance is mainly driven by medium-sized business groups, while underperformance is driven by small and large business groups. Further, the study documents that the underperformance in terms of market performance of firms affiliated with small and large groups is greater before the economic downturn, while outperformance in terms of the accounting measure of firms affiliated with medium-sized groups is greater during the economic downturn. These findings support our time-driven concerns. Overall, the authors' findings are consistent with institutional and transaction cost theories.
Practical implications
Business groups are important channels to reduce market inefficiencies. Business groups may enhance the affiliated firms' resources and resistance capacity through active utilization of the internal capital market, specifically when market conditions are not ideal for affiliates. However, effective utilization of internal capital markets depends on group size. Therefore, investors should deliberate on the size of business groups and diversification within business groups.
Originality/value
The authors extend the literature by providing fresh evidence related to the performance of business groups in the Pakistani context while accounting for the role of the size of business groups.
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Ramesh Kumar, Charles Jebarajakirthy, Haroon Iqbal Maseeh, Komal Dhanda, Raiswa Saha and Richa Dahiya
This review aims to synthesize the brand hate literature and suggest directions for future research on brand hate.
Abstract
Purpose
This review aims to synthesize the brand hate literature and suggest directions for future research on brand hate.
Design/methodology/approach
This study adopted an integrative literature review method to synthesize and assess the brand hate literature.
Findings
The synthesis showed that social identity theory, disidentification theory and duplex theory are prominently used in brand hate studies, and a larger portion of brand hate research was conducted in Western countries. Further, brand-related, self-congruity, personal factors, information influence and brand community influence are the major types of antecedents of brand hate which can produce soft or hard consequences. Lexicometric analysis showed causes of brand hate, consumers' negative emotional and behavioral outcomes and community anti-brand behavior as key themes of brand hate research.
Research limitations/implications
The synthesis has followed predefined criteria for the inclusion research papers. Thus, the review is limited to articles that fulfilled the criteria for inclusion.
Practical implications
The finding will help marketers, specially brand managers, craft strategies to handle brand hate.
Originality/value
The brand hate literature is still developing and remains incoherent, suggesting that a synthesized review is needed. This study has systematically reviewed and synthesized the brand hate literature to study its development over time and proposes a framework which provides a comprehensive understanding of brand hate.
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The purpose of this paper is to investigate the performance of a turbine structure of the oil and gas Egyptian company in terms of reliability, mean time to failure (MTTF), mean…
Abstract
Purpose
The purpose of this paper is to investigate the performance of a turbine structure of the oil and gas Egyptian company in terms of reliability, mean time to failure (MTTF), mean time to repair (MTTR) and mean time between failures (MTBF) under fuzzy environment and working criteria. This paper examines the impact of the failure of various components on the complete turbine structure of the oil and gas system.
Design/methodology/approach
To overcome the problem of uncertain behavior of available data for various components, the right triangular generalized fuzzy number (RTrGFN) is proposed to be taken into the account to express the uncertainty which attains some tolerance in data. Furthermore, reliability indices are calculated with the help of the Lambda Tau method and the arithmetic operations on right generalized triangular fuzzy numbers (RTrGFN).
Findings
This paper explores the reliability of a repairable 3 out of 4 structure of turbines and along with the other parameters namely MTTF, MTTR and MTBF; under a fuzzy environment. Failure rates and repair times are expected to be exponential. The ranking of components of the structure is being found to decide the priority for maintenance.
Originality/value
This paper investigates the performance of the system with different spread/tolerance like 15%, 25% and 50% of crisp data. It helps to predict realistic results in the range value. To enhance the system's performance, the most important item of the system requires greater attention. For this, the authors find the sensitive part by ranking. For ranking, an extended approach has been developed to find the sensitive unit of the system by using the right triangular generalized fuzzy number. This paper explores the most and least sensitive component of the system, which helps the maintenance department to plan the maintenance action.
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Manjeet Solanki, Kuldeep Chaudhary and Nisha Chauhan
This study aims to empirically examine the research related to work values published in the two major databases Scopus and Web of Science.
Abstract
Purpose
This study aims to empirically examine the research related to work values published in the two major databases Scopus and Web of Science.
Design/methodology/approach
This paper opted for a bibliometric study using the R (Bibliometric R package). The bibliometric analysis was conducted on 498 papers after removing duplicates published between 1964 and 2022.
Findings
This study finds that the number of articles and citations is limited but growing. Journal of Applied Psychology was regarded as the most influential journal with maximum citations. Maximum citations and publications came from the USA. The study revealed that maximum collaborations were done between authors located in the USA and China.
Research limitations/implications
The researcher used only two databases in the study, so papers included in other databases are left, which can affect the study results.
Practical implications
This research may be beneficial for both human resource practitioners and researchers because it identifies the research gaps and future research needs in the field of work values. Besides, this paper will help the researchers to understand the publishing trends in the subject area.
Originality/value
This research incorporates bibliometric analysis for a critical analysis of Work Value literature. This research contributes to the existing literature and assists fellow researchers in future studies.
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Lokender Prashad, Mili Dutta and Bishnu Mohan Dash
This study on spatial analysis of child labour in India is a macro level analysis on child labour using the census data, 2011 of Government of India. The population census which…
Abstract
Purpose
This study on spatial analysis of child labour in India is a macro level analysis on child labour using the census data, 2011 of Government of India. The population census which is conducted once in 10 years only provides district level data on work-force distribution. The study has spatial analysis of child labour in the age group of 5–14 years in India. To assess the magnitude of the children in the labour force, district level data of Census 2011 has been used in the study. The study has made an attempt to identify the districts where there is high level of children in the labour force. This paper aims to estimate the magnitude and trends of children’s workforce participation using the census data as it is the only data base, which is available at the district level since 1961 onwards. The study has made an attempt to identify the clustering of child labour across districts in India and how child labour is clustered by different background characteristics.
Design/methodology/approach
The study has used ArcGIS software package, GeoDa software and local indicator of spatial association test.
Findings
The findings of study reveal that the proportion of rural, total fertility rate (TFR) and poverty headcount ratio is positively associated, whereas female literacy and the pupil-teacher ratio are negatively associated with child labour. It suggests that in the hot-spot areas and areas where there is a high prevalence of child labour, there is need to increase the teacher's number at the school level to improve the teacher-pupil ratio and also suggested to promote the female education, promote family planning practices to reduce TFR in those areas for reducing the incidences of child labour.
Research limitations/implications
The study also recommends that the incidences of child labour can be controlled by a comprehensive holistic action plan with the active participation of social workers.
Practical implications
The promulgation of effective legislation, active involvement of judiciary and police, political will, effective poverty alleviation and income generation programmes, sensitisation of parents, corporates and media can play effective role in mitigating the incidences of child labour in India. To achieve the sustainable development goals (SDGs) adopted by world leaders in 2015 to eradicate child labour in all its forms by 2025.
Social implications
The study aims to achieve the SDGs adopted by world leaders in 2015 to eradicate child labour in all its forms by 2025.
Originality/value
The study is purely original and there are no such studies in Indian context by using the latest software.
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Hazwani Shafei, Rahimi A. Rahman and Yong Siang Lee
Policymakers are developing national strategic plans to encourage organizations to adopt Construction 4.0 technologies. However, organizations often adopt the recommended…
Abstract
Purpose
Policymakers are developing national strategic plans to encourage organizations to adopt Construction 4.0 technologies. However, organizations often adopt the recommended technologies without aligning with organizational vision. Furthermore, there is no prioritization on which Construction 4.0 technology should be adopted, including the impact of the technologies on different criteria such as safety and health. Therefore, this study aims to evaluate Construction 4.0 technologies listed in a national strategic plan that targets the enhancement of safety and health.
Design/methodology/approach
A list of Construction 4.0 technologies from a national strategic plan is evaluated using the fuzzy technique for order preference by similarity to ideal solution (TOPSIS) method. Then, the data are analyzed using reliability, fuzzy TOPSIS, normalization, Pareto, sensitivity, ranking and correlation analyses.
Findings
The analyses identified six Construction 4.0 technologies that are critical in enhancing safety and health: Internet of Things, autonomous construction, big data and predictive analytics, artificial Intelligence, building information modeling and augmented reality and virtualization. In addition, six pairs of Construction 4.0 technologies illustrate strong relationships.
Originality/value
This study contributes to the existing body of knowledge by ranking a list of Construction 4.0 technologies in a national strategic plan that targets the enhancement of safety and health. Decision-makers can use the study findings to prioritize the technologies during the adoption process. Also, to the best of the authors’ knowledge, this study is the first to evaluate the impact of Construction 4.0 technologies listed in a national strategic plan on a specific criterion.