Mohit Ray, Avinash Kumar and Samir K. Srivastava
Despite various consequences for different stakeholders in the mustard ecosystem, India prohibited blending in mustard oil to achieve self-reliance in edible oils and promote…
Abstract
Purpose
Despite various consequences for different stakeholders in the mustard ecosystem, India prohibited blending in mustard oil to achieve self-reliance in edible oils and promote consumer health. This paper uncovers the implications of this policy on mustard production, consumption and prices.
Design/methodology/approach
This paper deploys system dynamics (SD) to model the mustard ecosystem. SD uses simulation modeling to comprehend the nonlinear behavior of complex systems over time utilizing causal-loop and stock-flow diagrams.
Findings
While the mustard price does not vary in the short run, it diverges toward a higher side in the long run due to the changed policy mandate. Surprisingly, due to the predominance of market prices, the policy administered minimum support price (MSP) was found to have a limited influence on mustard prices. Hence, the focus should be on supply augmentation through non-price-based measures like disseminating information to enhance the yield rate of seed production and promoting the adoption of efficient technologies with higher oil conversion efficiency.
Research limitations/implications
The paper allows policymakers to quantitatively evaluate the effectiveness of policy interventions to mitigate the adverse impacts of policy mandate. It presents a reliable roadmap for policymakers to roll out effective policies.
Originality/value
The paper uncovers the system-level impact of policy on stakeholders and examines the effectiveness of MSP.
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Bhumika Ray, Mohit Verma, Nikshit Gautam and Manindra Kumar
This study aims to present a comprehensive review of the scientific literature on gig work and the social responsibility towards them; the study highlights the evolving nature of…
Abstract
Purpose
This study aims to present a comprehensive review of the scientific literature on gig work and the social responsibility towards them; the study highlights the evolving nature of work, career and organisation, focussing on their social responsibility towards gig work.
Design/methodology/approach
A systematic review of 186 selected articles published since the beginning of the gig economy research. Quantitative bibliometric and framework-based review techniques were used to analyse theoretical nuances, themes, antecedents and contextual factors.
Findings
Factors responsible for the social responsibility towards gig work were identified. The factors were categorised into individual, organisational and social-related attributes. Overall, the contextual factors, top articles, authors and journals suggested that gig work research is increasing exponentially across the globe.
Research limitations/implications
The understanding of the factors influencing the gig work explored, the long-term implications of disruptions or gig workers’ well-being and exploring the impact of social and cultural aspects of the gig work research.
Originality/value
To the best of the authors’ knowledge, this is one of the first studies to analyse the factors influencing social responsibility towards gig work in the changing nature of work, career and organisation. The study provides future directions for expanding the scholarship, resulting in the sustainability of this form of employment.
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Nikshit Gautam, Mohit Verma and Bhumika Ray
This study aims to identify the dimensions of satisfaction in the halal tourism literature by analyzing the identified antecedents and outcomes. The study aims to synthesize the…
Abstract
Purpose
This study aims to identify the dimensions of satisfaction in the halal tourism literature by analyzing the identified antecedents and outcomes. The study aims to synthesize the current empirical findings in halal tourism. Additionally, this study provides a comprehensive understanding of the factors that lead to halal traveller satisfaction.
Design/methodology/approach
Using a meta-analysis approach, this paper synthesizes the fragmented and conflicting findings of 56 quantitative studies focusing on satisfaction and its antecedents and consequences in the halal tourism context. Data from 145 relationships representing an aggregate sample size of 21,173 were used. Additionally, this study extends the analysis by incorporating contemporary factors such as the impact of COVID-19, sample size and gender as moderators.
Findings
The findings indicate that both physical characteristics and psychological aspects are positively related to satisfaction. Further, this study reported that endorsement and revisit intention are the significant consequences of satisfaction. Lastly, this study identifies the significant moderating effect of the COVID-19 pandemic, sample size and gender on the relationship between satisfaction and its antecedents/consequences.
Research limitations/implications
Global halal tourism industry caters to Muslim and non-Muslim tourists across the globe; this article identifies the contributing factors of satisfaction in the halal tourism context. Policymakers can adapt according to their needs and preferences.
Originality/value
This study provides cumulative evidence to the literature regarding the relationship between satisfaction and its antecedents/consequences in halal tourism. This is the first meta-analysis study on the mentioned topic, making significant theoretical, managerial and methodological contributions to halal tourism research.
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Amrit Raj Paul, Manidipto Mukherjee and Mohit Kumar Sahu
The purpose of this study is to investigate the deposition of SS–Al transitional wall using the wire arc directed energy deposition (WA-DED) process with a Cu interlayer. This…
Abstract
Purpose
The purpose of this study is to investigate the deposition of SS–Al transitional wall using the wire arc directed energy deposition (WA-DED) process with a Cu interlayer. This study also aims to analyse the metallographic properties of the SS–Cu and Al–Cu interfaces and their mechanical properties.
Design/methodology/approach
The study used transitional deposition of SS–Al material over each other by incorporating Cu as interlayer between the two. The scanning electron microscope analysis, energy dispersive X-ray analysis, X-ray diffractometer analysis, tensile testing and micro-hardness measurement were performed to investigate the interface characteristics and mechanical properties of the SS–Al transitional wall.
Findings
The study discovered that the WA-DED process with a Cu interlayer worked well for the deposition of SS–Al transitional walls. The formation of solid solutions of Fe–Cu and Fe–Si was observed at the SS–Cu interface rather than intermetallic compounds (IMCs), according to the metallographic analysis. On the other hand, three different IMCs were formed at the Al–Cu interface, namely, Al–Cu, Al2Cu and Al4Cu9. The study also observed the formation of a lamellar structure of Al and Al2Cu at the hypereutectic phase. The mechanical testing revealed that the Al–Cu interface failed without significant deformation, i.e. < 4.73%, indicating the brittleness of the interface.
Originality/value
The study identified the formation of HCP–Fe at the SS–Cu interface, which has not been previously reported in additive manufacturing literature. Furthermore, the study observed the formation of a lamellar structure of Al and Al2Cu phase at the hypereutectic phase, which has not been previously reported in SS–Al transitional wall deposition.
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Mohit Datt, Ajay Gupta and Sushendra Kumar Misra
The objective of this work is twofold: firstly, to develop a model for assessing healthcare service quality (HSQ), and secondly, to evaluate the effectiveness of machine learning…
Abstract
Purpose
The objective of this work is twofold: firstly, to develop a model for assessing healthcare service quality (HSQ), and secondly, to evaluate the effectiveness of machine learning algorithms in predicting the quality of healthcare services.
Design/methodology/approach
In this study, a comprehensive literature review has been performed to identify key quality dimensions in the healthcare services domain. Delphi’s method has been used to confirm the criticality of these dimensions based on experts’ opinions and proposed a novel CIRMQUAL model. Factor analysis techniques have been used to further validate the CIRMQUAL model. Using the data collected through a questionnaire survey, a number of machine learning models have been developed to predict the customer satisfaction level based on the service quality (SQ) performance of a healthcare unit on different dimensions of the CIRMQUAL model.
Findings
The study developed a CIRMQUAL model with 14 dimensions (quality of care, safety and security, skill and conduct, staff attitude, tangibles, quality of the atmosphere, patient rights, follow-up, communication, cost of treatment, availability of resources, accessibility, waiting time and services), and these dimensions have been clubbed into four major dimensions, i.e. clinical quality, infrastructural quality, relationship and managerial quality. Furthermore, the application of machine learning algorithms has demonstrated significant accuracy in predicting SQ, highlighting its ability to improve healthcare services and the satisfaction level of patients.
Research limitations/implications
Managers of healthcare units work hard to identify and address the pain points of the patients and improve the working of the healthcare units being managed by them. The availability of many scales with numerous dimensions adds to their confusion in selecting a suitable scale. The current work addresses this confusion and provides four clear areas for assessing the quality of healthcare units. By using this scale, managers can assess the quality of services provided by them, identify the dimensions of low performance, plan and take suitable corrective actions to improve the performance of their healthcare units.
Practical implications
A comprehensive SQ model, i.e. CIRMQUAL has been proposed as a new scale to assess SQ in healthcare units. The model has been developed after analyzing the dimensions used by many researchers available in the literature. This model can be used by future researchers to assess the SQ in healthcare units. Moreover, an attempt has been made to use artificial intelligence-based techniques for predicting customer satisfaction. Such attempts are in the initial stage for healthcare sector. Future researchers can take this concept forward and test the applicability of different machine learning techniques in different functional areas of healthcare.
Social implications
Good health is of utmost importance for all human beings. In spite of the expenditure of substantial time and efforts by various stakeholders, the service delivery doesn’t match the expectations of patients. Many times, the service providers are not aware of this dissatisfaction and specific aspects of service delivery that need to be improved to reduce dissatisfaction. The model proposed will help the service providers in this regard and the service providers will be able to take focused steps. Such initiatives will definitely improve patient’s satisfaction and their social well-being.
Originality/value
This work is unique because it uses a novel technique to redefine the quality of services in healthcare by using a dual methodology. The research presents a model that includes various factors and it is specially developed to evaluate the quality of services in healthcare settings. This study advances the area’s progress by implementing computational tools for accurate evaluation of HSQ. The healthcare decision-makers may use this novel perspective to evaluate and enhance the quality of service.
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Mohit Manchanda and Madhurima Deb
Extant literature on business-to-business (B2B) has largely ignored studying multi-homing through a psychological lens. This paper aims to outline the results of three constituent…
Abstract
Purpose
Extant literature on business-to-business (B2B) has largely ignored studying multi-homing through a psychological lens. This paper aims to outline the results of three constituent studies, which were designed to reveal potential differences in multi-homers’ versus single-homers’ loyalty behaviors in a B2B and supply chain management (SCM) setting; identify factors that differentiate single-homers and multi-homers in these settings; and examine the relevance and effect of perceived risk on multi-homing behaviors.
Design/methodology/approach
In Studies 1 and 2, the authors used a questionnaire-based survey to capture the perceptions of 503 and 458 SCM experts, respectively. They then deployed AMOS v.21 to perform structural equation modeling. In Study 3, the authors used a mixed-methods approach to interview 18 SCM experts and then applied these insights to a survey with 242 SCM experts.
Findings
Study 1 reveals that multi-homers’ loyalty toward their preferred SP has a weaker effect on willingness to pay premium prices and share-of-wallet than single-homers’ loyalty. Study 2 establishes that several attitudinal factors distinguish multi-homers from single-homers in a loyalty framework. Study 3 concludes that perceived risk dimensions promote multi-homing intention, which in turn promotes multi-homing behavior.
Originality/value
Through empirical investigation, the present research succeeds in establishing that multi-homing is a concern for SPs, deciphering the attitudinal factors that distinguish multi-homers and single-homers in a loyalty framework, and confirming the influence of perceived risk dimensions on multi-homing. Thus, the study has several theoretical and practical implications for B2B services in emerging economies.
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Filip Zima, Mohit Srivastava and Ladislav Tyll
After reading and analyzing the case study, the students would be able to identify the main stakeholders and decision-makers and their importance and influence on the environment…
Abstract
Learning outcomes
After reading and analyzing the case study, the students would be able to identify the main stakeholders and decision-makers and their importance and influence on the environment for a product, evaluate the value chain of the product and critical decision-makers, evaluate the various ways to avoid falling into the trap of greenwashing and examine the marketing strategy to market an environmentally friendly product.
Case overview/synopsis
LIKO-S is a Czech manufacturing and construction company. The company has been designing and creating intelligent solutions, such as green facades or vertical greenery systems, to save energy in building heating and cooling systems. The company launched green facades in the Czech market. However, the main obstacle was the need for supporting data to showcase the positive environmental impact of green facades. Under these circumstances, Libor Musil’s main objective was to overcome prevalent misconceptions about green facades and find a suitable market segment. The situation worried the company, as LIKO-S had heavily invested in developing and marketing the green walls. The management had to tackle this challenge as soon as possible to recover the substantial research and development and marketing investments. Furthermore, owing to lack of information, even genuinely sustainable products were seen as greenwashing. In addition, bad or wrong customer perceptions of these walls might spill over to other products, tarnishing the company’s image and threatening its survival in the domestic market. Under these circumstances, competitors might enter the Czech market, jeopardizing the company’s overall profits. Consequently, Libor was in a great dilemma about managing the financial and reputational risk of the company. Should Libor close the green walls unit, explore different markets/uses or help increase awareness among the general population about green walls by finding a suitable marketing strategy?
Complexity academic level
The case study was designed for graduate-level students in the strategic management (CSR and innovation module) courses. However, the case could also be an excellent addition to marketing courses dealing with customers’ perceptions of innovative products and strategies to improve the adoption of the product.
Supplementary materials
Teaching notes are available for educators only.
Subject code
CSS 3: Entrepreneurship
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Deepak Sangroya, Gaurav Kabra, Yatish Joshi and Mohit Yadav
This study examines various aspects of green energy management operations in India and reports the current state, potential avenues and barriers for green energy management.
Abstract
Purpose
This study examines various aspects of green energy management operations in India and reports the current state, potential avenues and barriers for green energy management.
Design/methodology/approach
This study performs an extensive literature review and covers the several aspects of green energy management operations.
Findings
The findings report the current state of various aspects of green energy management operations such as: procurement, manufacturing and distribution and provides the viable business models. It further explains the various facilitators and barriers of green energy management and reports the opportunities and challenges that exist in developing and managing green energy supply chain.
Originality/value
The study is pioneer in providing a comprehensive view of developing and managing green energy operations in India. The study is useful to various organisations on drafting strategies to effectively adopt and manage green energy. The study is also useful in policy formulation for promoting green energy use. This article also set as a base for future researchers working in the area of green energy.
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Kallol Das, Monali Chatterjee and U.T. Rao
Principles of Management, in particular, the topics of planning, organizing, leading, controlling, human resource management, and operations management.
Abstract
Subject area
Principles of Management, in particular, the topics of planning, organizing, leading, controlling, human resource management, and operations management.
Study level/applicability
The case will be helpful to undergraduate and graduate business school students for learning the subject, Principles of Management.
Case overview
Vikas Jha, the newly appointed executive producer and CEO of Magic Films, is a troubled man today. At 29, he is also an unusually tired man to lead this social enterprise presently focussing on producing and distributing short films that carry a strong social message. A whole set of problems is plaguing this start up leaving Vikas totally clueless about the future course of action! The case dwells on the challenges of a film production start-up and provides an opportunity for readers to explore creative solutions to management problems.
Expected learning outcomes
Critical thinking, creative thinking, communication skills and leadership ability are some of the liberal arts outcomes that the case study attempts to deliver. In addition, it enables students to apply their knowledge and understanding of key principles of management in solving the case problems. Thus, the case also provides transfer ability as an important learning outcome.
Supplementary materials
Teaching notes. Additional material with respect to film production can be helpful to the students in appreciating the finer aspects of this case, which deals with filmmaking. In this direction, helpful links to useful resources are mentioned in the case study.
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Mohit Jain, Gunjan Soni, Sachin Kumar Mangla, Deepak Verma, Ved Prabha Toshniwal and Bharti Ramtiyal
Agriculture is a vital sector for every country, especially for a country like India, where the majority of the population is dependent on agriculture as their earning source…
Abstract
Purpose
Agriculture is a vital sector for every country, especially for a country like India, where the majority of the population is dependent on agriculture as their earning source. Technological improvements in agriculture will increase output with proper forecasting of input resources. In this study, the author tries to investigate the attitude of end users (farmers) about the use of Industry 4.0 (I4.0) technologies.
Design/methodology/approach
The unified theory of acceptance and use of technology (UTAUT) model is used to assess the behavioral aspects. The significance of socioeconomic and technological factors is highlighted, providing the study with a thorough understanding of farmers' decision-making processes. A research questionnaire was developed for data collection, and descriptive and inferential statistics were used to analyse the results using AMOS and SPSS software.
Findings
A total of 371 survey responses were collected. The results demonstrate that the hypothesis regarding UTAUT model components is validated, while several mediating hypotheses are not supported, indicating that they are not significant in farmers' decision-making.
Originality/value
In this study, socioeconomic and technological factors are considered to be mediating and moderating elements between the constructs of the UTAUT model. Increasing the accuracy and reliability of our study by integrating mediating and moderating variables. This study assists industry specialists in understanding the elements that farmers consider while switching toward new technologies.