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1 – 9 of 9Sita Mishra, Tapas Ranjan Moharana and Ravi Chatterjee
This research aims to examine how consumer minimalism (CM), self-conscious feelings (such as consumer guilt (CG) and consumer pride (CP)) and the inclination to use rental…
Abstract
Purpose
This research aims to examine how consumer minimalism (CM), self-conscious feelings (such as consumer guilt (CG) and consumer pride (CP)) and the inclination to use rental services interact. It also looks at how attitudes toward pro-environmental advertisements affect these relationships as a moderator, recognizing the importance of pro-environmental advertising in influencing consumer behavior.
Design/methodology/approach
This study employed a quantitative methodology to investigate the aforementioned associations. Survey questionnaires are used to collect data, which is then analyzed using AMOS 25 and Process Macro to generate meaningful insights.
Findings
The findings indicate that the willingness to use rental services is directly associated with CM, while self-conscious emotions (SCEs) play the role of a mediator in this relationship.
Research limitations/implications
It is essential to recognize the limitations of this study. There may be other variables at play, but the research focuses on SCEs (CG and CP) and their role as mediators. The findings must be interpreted based on the selected research methodology and sample size. Future research could investigate additional variables and enlarge the sample size to increase generalizability.
Practical implications
Targeted marketing can leverage CM, SCEs and willingness to use rental services. Recognizing the moderating effect of attitude toward pro-environmental advertisements can help create more effective campaigns promoting environmental behavior.
Originality/value
Underpinned by SCEs, the current study is one of the initial studies to explain how CM encourages responsible environmental behavior through access-based consumption models.
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Furkan Khan, Preeti and Vishal Gupta
Building on the social cognitive theory, a mediation model was examined to understand the role of teacher self-efficacy as the underlying mechanism for the relationship between…
Abstract
Purpose
Building on the social cognitive theory, a mediation model was examined to understand the role of teacher self-efficacy as the underlying mechanism for the relationship between instructional leadership and teacher job satisfaction.
Design/methodology/approach
The study tests a mediation model between instructional leadership, teacher self-efficacy and job satisfaction. The data were collected via online survey from primary school teachers (N = 320) working for the Municipal Corporation of Delhi (MDC) in India. The mediation model was tested using the AMOS 22.0 after establishing the reliability and validity of measures.
Findings
Regression analyses using the bootstrapping method indicated that teacher self-efficacy mediates the relationship between instructional leadership and teacher job satisfaction.
Research limitations/implications
This is a cross-sectional study. The scope for causal inferences is, thus, limited.
Practical implications
In the Indian setting, the study examines the association between instructional leadership and job satisfaction. The results show that the instructional leadership of the school principal is strongly related to teachers' self-efficacy, which, in turn is positively associated with teacher’s job satisfaction. Further, the findings confirm that instructional leadership, emphasizing instructional improvement, improves teachers' self-efficacy and job satisfaction.
Originality/value
The study explains the underlying process through which a school principal’s instructional leadership is related to teacher job satisfaction. This study is perhaps the first to focus on an Indian or a non-Western context.
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Satish Kr Gupta and Anirban Mukherjee
This qualitative research examines the varied reasons for relocation to old age homes (OAHs) in contemporary India. The purpose of this study investigates the acceptance of…
Abstract
Purpose
This qualitative research examines the varied reasons for relocation to old age homes (OAHs) in contemporary India. The purpose of this study investigates the acceptance of institutional living in Lucknow (a Tier II city of India) and whether migration to OAHs is a voluntary decision. This study also examines the lifeworld of the older adult in these OAHs in an attempt to find out whether OAHs are conducive to positive ageing. Derivatively, the authors study their engagement/time use pattern and social networking patterns in the OAHs. Finally, the research seeks to learn whether OAHs are slowly substituting older adult care given within the family by offering the best of the facilities and services.
Design/methodology/approach
This qualitative research was conducted in two private OAHs in Lucknow, India. The findings of the study are based on 28 qualitative interviews conducted with the inmates, administrative staff and caretakers. The interviews were unstructured and open-ended and were supported by observations. The observation was not only made of the social setting but also the reaction of the participants. The idea was to develop an emic view of the subject by exploring valid narratives. Pseudonyms were used to report the finding so as to maintain the confidentiality of the research subjects.
Findings
This research moves beyond the traditional wisdom that people move to OAH because of the push factors within the family. OAHs in India have evolved over the years and high-end OAHs are equipped with modern amenities to cater to the upper class in their twilight years. Residents were found to lead active lives in OAHs and their common habitus and bonding capital helped them to face the vagaries of old age more confidently. Their active life and membership in various civic organizations challenge the contention of the role theory that the aged are more prone to lose rather than gain roles.
Originality/value
The originality of the research lies in the fact that the authors are extending the arguments made by the role theory of social ageing. The theory proposes that aged people are more likely to lose out roles rather than gain new ones. This study finds that the elderly tend to live a very active life in OAHs and engaged various civic organizations. Although they may lose/voluntarily give up the roles like the head of the household, spouse, etc., they acquire new roles in the context of OAHs.
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Talwinder Singh, Chandan Deep Singh and Rajdeep Singh
Because many cutting fluids contain hazardous chemical constituents, industries and researchers are looking for alternative methods to reduce the consumption of cutting fluids in…
Abstract
Purpose
Because many cutting fluids contain hazardous chemical constituents, industries and researchers are looking for alternative methods to reduce the consumption of cutting fluids in machining operations due to growing awareness of ecological and health issues, government strict environmental regulations and economic pressures. Therefore, the purpose of this study is to raise awareness of the minimum quantity lubrication (MQL) technique as a potential substitute for environmental restricted wet (flooded) machining situations.
Design/methodology/approach
The methodology adopted for conducting a review in this study includes four sections: establishment of MQL technique and review of MQL machining performance comparison with dry and wet (flooded) environments; analysis of the past literature to examine MQL turning performance under mono nanofluids (M-NF); MQL turning performance evaluation under hybrid nanofluids (H-NF); and MQL milling, drilling and grinding performance assessment under M-NF and H-NF.
Findings
From the extensive review, it has been found that MQL results in lower cutting zone temperature, reduction in cutting forces, enhanced tool life and better machined surface quality compared to dry and wet cutting conditions. Also, MQL under H-NF discloses notably improved tribo-performance due to the synergistic effect caused by the physical encapsulation of spherical nanoparticles between the nanosheets of lamellar structured nanoparticles when compared with M-NF. The findings of this study recommend that MQL with nanofluids can replace dry and flood lubrication conditions for superior machining performance.
Practical implications
Machining under the MQL regime provides a dry, clean, healthy and pollution-free working area, thereby resulting the machining of materials green and environmentally friendly.
Originality/value
This paper describes the suitability of MQL for different machining operations using M-NF and H-NF.
Peer review
The peer review history for this article is available at: https://publons.com/publon/10.1108/ILT-05-2023-0131/
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Priyanka Thakral, Praveen Ranjan Srivastava, Sanket Sunand Dash, Sajjad M. Jasimuddin and Zuopeng (Justin) Zhang
The growth of the global labor force and business analytics has significantly impacted human resource management (HRM). Human resource (HR) analytics is an emerging field that…
Abstract
Purpose
The growth of the global labor force and business analytics has significantly impacted human resource management (HRM). Human resource (HR) analytics is an emerging field that creates value for employees and organizations. By examining the existing studies on HR analytics, the paper systematically reviews the literature to identify active research areas and establish a roadmap for future studies in HR analytics.
Design/methodology/approach
A portfolio of 503 articles collected from the Scopus database was reviewed. The study has adopted a Latent Dirichlet allocation (LDA) topic modeling approach to identify significant themes in the literature.
Findings
The HR analytics research domain is classified into four categories: HR functions, statistical techniques, organizational outcomes and employee characteristics. The study has also developed a framework for organizations adopting HR analytics. Linking HR with blockchain technology, explainable artificial intelligence and Metaverse are the areas identified for future researchers.
Practical implications
The framework will assist practitioners in identifying statistical techniques for optimizing various HR functions. The paper discovers that by implementing HR analytics, HR managers and business partners can run reports, make dashboards and visualizations and make evidence-based decision-making.
Originality/value
The previous studies have not applied any machine learning techniques to identify the topics in the extant literature. The paper has applied machine learning tools, making the review more robust and providing an exhaustive understanding of the domain.
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The purpose of this paper, an experimental study, is to investigate the optimal machining parameters for turning of nickel-based superalloy Inconel 718 under eco-friendly…
Abstract
Purpose
The purpose of this paper, an experimental study, is to investigate the optimal machining parameters for turning of nickel-based superalloy Inconel 718 under eco-friendly nanofluid minimum quantity lubrication (NMQL) environment to minimize cutting tool flank wear (Vb) and machined surface roughness (Ra).
Design/methodology/approach
The central composite rotatable design approach under response surface methodology (RSM) is adopted to prepare a design of experiments plan for conducting turning experiments.
Findings
The optimum value of input turning parameters: cutting speed (A), feed rate (B) and depth of cut (C) is found as 79.88 m/min, 0.1 mm/rev and 0.2 mm, respectively, with optimal output response parameters: Vb = 138.633 µm and Ra = 0.462 µm at the desirability level of 0.766. Feed rate: B and cutting speed: A2 are the leading model variables affecting Vb, with a percentage contribution rate of 12.06% and 43.69%, respectively, while cutting speed: A and feed rate: B are the significant factors for Ra, having a percentage contribution of 38.25% and 18.03%, respectively. Results of validation experiments confirm that the error between RSM predicted and experimental observed values for Vb and Ra is 3.28% and 3.75%, respectively, which is less than 5%, thus validating that the formed RSM models have a high degree of conformity with the obtained experimental results.
Practical implications
The outcomes of this research can be used as a reference machining database for various metal cutting industries to establish eco-friendly NMQL practices during the turning of superalloy Inconel 718 to enhance cutting tool performance and machined surface integrity.
Originality/value
No study has been communicated till now on the turning of Inconel 718 under NMQL conditions using olive oil blended with multi-walled carbon nanotubes-based nanofluid.
Peer review
The peer review history for this article is available at: https://publons.com/publon/10.1108/ILT-10-2023-0317/
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Nupur Kuhar and V. Shunmugasundaram
Personality characteristics have a significant impact on the economic segment of women entrepreneurs. Due to gender biases or other factors, women entrepreneurs are fewer in India…
Abstract
Purpose
Personality characteristics have a significant impact on the economic segment of women entrepreneurs. Due to gender biases or other factors, women entrepreneurs are fewer in India than in other countries. The purpose of this study is to identify the personality factors and challenges that affect their growth and success.
Design/methodology/approach
Logistic regression was used to show the impact of personality characteristics and firm performance and the moderating effect of challenges between personality characteristics and firm performance.
Findings
The findings revealed a significant impact of personality factors on firm performance, the absence of moderating effects of challenges and the presence of a mediation effect of enterprise age and enterprise location.
Research limitations/implications
This research will help policymakers adopt policies and plans to reduce obstacles and challenges so that the economic conditions of women’s entrepreneurship can transform.
Social implications
Women in the 21st century still live in a male-dominated patriarchal society because they face the problem of financial capital.
Originality/value
The results show the impact of personality traits and challenges on the firm performance of women’s entrepreneurship.
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Shubhomoy Banerjee and Abhijit Ghosh
The purpose of this study is to study the impact of relationship marketing orientation (RMO) and relationship quality on customers' commitment and pro-marketer behavior (positive…
Abstract
Purpose
The purpose of this study is to study the impact of relationship marketing orientation (RMO) and relationship quality on customers' commitment and pro-marketer behavior (positive word of mouth and external attribution) after negative brand publicity by using the combined lens of relationship marketing theory and the theory of cognitive dissonance.
Design/methodology/approach
A survey was conducted among banking customers in India using an online questionnaire. Data were analyzed using structural equation modeling and the bootstrapping procedure using the SPSS process macro.
Findings
Contrary to conventional wisdom, findings of this study suggest that RMO and relationship quality are positively correlated to commitment even after negative publicity. The path between RMO, relationship quality and pro-provider behavior is found to be mediated by commitment. This indirect path is moderated by customers' cognitive dissonance arising out of the negative publicity.
Originality/value
The study establishes the combined roles of RMO and relationship quality in pre-empting the detrimental effects of negative brand publicity. Further, it establishes interactions of cognitive dissonance with these relationship variables, thereby bringing together literature from relationship marketing theory and cognitive dissonance theory.
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Douglas Aghimien, Matthew Ikuabe, John Aliu, Clinton Aigbavboa, Ayodeji Emmanuel Oke and David John Edwards
This paper aims to assess the behavioural intention of construction organisations to use unmanned aerial vehicles (UAVs) in the delivery of construction projects. Using the…
Abstract
Purpose
This paper aims to assess the behavioural intention of construction organisations to use unmanned aerial vehicles (UAVs) in the delivery of construction projects. Using the unified theory of technology adoption and use of technology (UTAUT) model, the study strives to improve project delivery by adopting beneficial digital technologies.
Design/methodology/approach
The study adopted a postpositivism philosophical stance through a quantitative research approach using a structured questionnaire administered to construction organisations in South Africa. Primary data gathered was analysed using frequency, percentage, mean item score, Mann–Whitney U-test and confirmatory factor analysis, where the latter sought to deductively confirm the variables within the UTAUT model.
Findings
Construction organisations were found to rarely use UAVs in the country and furthermore, most of the participating organisations are unsure about using UAVs for their project delivery. Factors impacting on an organisation’s intention to use UAVs were identified as social influence, performance expectancy, effort expectancy and facilitating conditions. However, factors surrounding resistance to using and perceived risk cannot be overlooked as they also proved to be significant (at p = 0.05) to the behavioural intention of organisations to use UAVs.
Practical implications
Practical guidance for industry practitioners is offered in terms of insight into the key factors that must be considered for the effective utilisation of UAVs and the realisation of concomitant benefits.
Originality/value
This study bridges the knowledge gap in extant literature by exploring the practitioner’s behavioural intention to use UAVs. As an aside, an emergent theoretical backdrop for future works on UAVs is provided (particularly in developing countries where such a study has not been previously explored).