Amanpreet Kaur Sidhu, Harwinder Singh, Sandeep Singh Virdi and Raman Kumar
The purpose of this research paper is to identify the sources of job stress and their impact on health of employees.
Abstract
Purpose
The purpose of this research paper is to identify the sources of job stress and their impact on health of employees.
Design/methodology/approach
A total of 650 employees of power sector in Punjab (India) responded to the survey. Exploratory factor analysis and ANOVA were performed. Further, post hoc was conducted to find out which variable differs significantly.
Findings
The findings indicates that five parameters, namely workload, working environment, concentration, positivity and future perspective are the factors that are responsible to create stress in employees. There is great impact on health as “frequency of visit to a doctor” and “numbers of diseases” they have are high and “employee's time spared for exercise” is less.
Research limitations/implications
Since the survey was conducted only in power sector, it is difficult to generalize the results. However, the findings from this study will provide the factors that cause job stress and how they impact on health of employees.
Practical implications
The result indicates the impact of job stress on health of employees in power sector. Current research suggests that job stressors should be treated timely to minimize the impact of job stress.
Originality/value
While previous research has focused on the effect of stress on health, the present study provides evidence of the relationship between the sources of job stress and health, particularly in power sector in Punjab. This study would be contributing to the existing literature in Indian context.
Raman Kumar, Harwinder Singh and Rohit Chandel
The purpose of this paper is twofold: first, to explore the relationship between success parameters and implementation of advanced manufacturing technology (AMT); and second, to…
Abstract
Purpose
The purpose of this paper is twofold: first, to explore the relationship between success parameters and implementation of advanced manufacturing technology (AMT); and second, to examine the changes required in manufacturing system as a result of AMT implementation.
Design/methodology/approach
The first order confirmatory factor analysis was performed to validate the presence of observed variables on their respective latent variable. Structural equation modeling is used to test the considered eight hypotheses.
Findings
The finding indicates that all five success factors are positively related to the AMT implementation. The redesign in the production system and organization strategy is directly related to the AMT implementation. The notable finding is the AMT implementation has no direct impact on the redesign of human resource, but it has mediated impact through the production system.
Research limitations/implications
The originality and reliability of data collected for research purpose merely depends upon information and the accessible resources.
Originality/value
The outcome of the present work gives rise to meaningful implications for researchers and practitioners as well.
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Raman Kumar, Jasgurpreet Singh Chohan, Rohit Goyal and Piyush Chauhan
Resistance spot welding (RSW) is an essential process in the automobile sector to join the components. The steel is the principal material utilized in car generation because of…
Abstract
Purpose
Resistance spot welding (RSW) is an essential process in the automobile sector to join the components. The steel is the principal material utilized in car generation because of its high obstruction against erosion, toughness, ease of support and its recuperation potential. Due to this, it was planned to study the mechanical properties, hardness and microstructure characteristics of RSW of Stainless steel 304.
Design/methodology/approach
In the present research, RSW of 304 stainless steel plates with 1 mm thickness and effect of current intensity, welding time, electrode pressure and holding time on nugget diameter, tensile strength microhardness and microstructure of the joints was investigated. The specimens were prepared according to the dimensions of 30 × 100 mm with 30 mm overlaps joint through the RSW machine. The tensile test of the specimen was carried out on a universal testing machine and microhardness of specimens measured using Vickers’s hardness tester. Taguchi L16 orthogonal array was used to scrutinize the significant parameters for each output.
Findings
It has been observed that the tensile strength of the specimen is affected by the current intensity and nugget diameter, and the weld time has a significant effect on the tensile strength. Microhardness is highly influenced by electrode pressure and holding time, as the increase in both these parameters resulted in the increase of microhardness. This is due to rapid cooling, which is done by the cooling water flowing through the copper electrodes.
Originality/value
This study was carried out using a copper electrode with a flat face with selected parameters and response factors. The study can be useful for researchers working on optimization of welding parameters on stainless steel.
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Raman Kumar and Harwinder Singh
The purpose of this paper is to explore the success factors for the assessment of manufacturing system output.
Abstract
Purpose
The purpose of this paper is to explore the success factors for the assessment of manufacturing system output.
Design/methodology/approach
Exploratory factor analysis and second-order confirmatory factor analysis were used to analyze data and test hypotheses, respectively. A total of 36 observed variables were transformed into nine success factors, namely role of management (ROM), technical strength, employee strength, organizational strength (OS), resources (RS), production system, market research, effective planning, and research and development (RD).
Findings
The finding indicates that only four success factors, namely ROM, RS, OS, and RD, are positively related to all four outputs. Moreover, all nine success factors are positively associated with profit.
Research limitations/implications
The outcomes of the present work provide meaningful implications for researchers and practitioners as well.
Originality/value
Earlier studies have laid focus on single output only in the manufacturing system. In the present study, an effort has been made to focus on four output dimensions, namely final product, customer relationship, reputation, and profit, which are further strengthened by incorporating the concept of performance in manufacturing systems.
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Sneha Kumari, V.G. Venkatesh, Eric Deakins, Venkatesh Mani and Sachin Kamble
Agriculture value chains (AVCs) have experienced unprecedented disruption during the COVID-19 pandemic, with lockdowns and stringent social distancing restrictions making buying…
Abstract
Purpose
Agriculture value chains (AVCs) have experienced unprecedented disruption during the COVID-19 pandemic, with lockdowns and stringent social distancing restrictions making buying and selling behaviours complex and uncertain. This study aims provide a theoretical framework describing the stakeholder behaviours that arise in severely disrupted value chains, which give rise to inter-organisational initiatives that impact industry sustainability.
Design/methodology/approach
A mixed-methods approach is adopted, in which uncertainty theory and relational governance theory and structured interviews with 15 AVC stakeholders underpin the initial conceptual model. The framework is empirically validated via partial least squares structural equation modelling using data from an online survey of 185 AVC stakeholders based in India.
Findings
The findings reveal that buyer and supplier uncertainty created by the COVID-19 lockdowns gives rise to behaviours that encourage stakeholders to engage in relational governance initiatives. Progressive farmers and other AVC stakeholders welcome this improved information sharing, which encourages self-reliance that positively impacts agricultural productivity and sustainability.
Practical implications
The new framework offers farmers and other stakeholders in developing nations possibilities to sustain their AVCs even in dire circumstances. In India, this also requires an enabling ecosystem to enhance smallholders' marketing power and help them take advantage of recent agricultural reforms.
Originality/value
Research is scarce into the impact of buyer and seller behaviour during extreme supply chain disruptions. This study applies relational governance and uncertainty theories, leading to a proposed risk aversion theory.
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Divya Goswami and Balraj Verma
Using VOSviewer software, this research delves into the various implications of ethical artificial intelligence (AI) within the retail industry. We explored the latest research…
Abstract
Using VOSviewer software, this research delves into the various implications of ethical artificial intelligence (AI) within the retail industry. We explored the latest research trends using bibliometric analysis unveiling the journals, organisations, sources, articles, and documents that topped the chart. To shed light on the critical areas, we leveraged a citation analysis approach to explore the numerous trending research areas that were associated with fostering trust and transparency in AI-based retail applications. The research recognised the most influential areas by investigating the highly cited works. This research insight works as a guiding roadmap to navigate the complexities related to the ethical use of AI and direct towards fostering trust.
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Purpose: Green consumerism is on the rise in the 21st century, impelling businesses to prioritise environmental awareness and expand eco-products to keep up with the growing…
Abstract
Purpose: Green consumerism is on the rise in the 21st century, impelling businesses to prioritise environmental awareness and expand eco-products to keep up with the growing demand. This research examines how social media (SM) and moral obligations (MO) affect consumer views and their propensity to make eco-friendly choices.
Methodology: Data were gathered from 508 participants using an adaptive questionnaire. The proposed model was tested using ‘structural equation modelling’.
Findings: The results show that electronic word-of-mouth (EWOM) and the intent to acquire green goods favourably impact consumer behaviour. MO positively influences attitudes and intentions to make green purchases (GPI), with attitudes acting as a mediator between MO and GPI.
Implications: This research is of utmost importance for marketers wanting to enhance their SM communication strategies to influence consumers’ opinions of green products and raise the possibility that they would make environmentally conscious purchases.
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The paper contends that the migrant workers experience a significant impact on their relations back in the place of origin. In this context, this paper aims to explore, in depth…
Abstract
Purpose
The paper contends that the migrant workers experience a significant impact on their relations back in the place of origin. In this context, this paper aims to explore, in depth the migration of the labourers to Kashmir and the challenges experienced by them in terms of adaptation to an unfamiliar culture, health and well-being, stereotyping, limited availability of collective religious spaces and the impact of migration on their social relations with the kith and kin way back in the place of origin. This is a qualitative study based on 20 oral narratives with respondents who experienced significant socio-cultural challenges in the host societies. The evidence-based findings reveal that significant challenges are experienced by the migrant workers in Kashmir, with respect to the social and cultural aspects of their lives.
Design/methodology/approach
Keeping in view the nature and the objectives of the study, qualitative research approach was used to have an empathetic understanding of the experience of obstacles by the migrant workers pertaining to cultural adaptation, health and well-being, stereotyping and other hard to adjust problems. The study used a convenience sampling technique to recruit the respondents in the district Pulwama of the union territory of Jammu and Kashmir. In-depth face-to-face interviews were conducted with 12 daily wage migrant labourers who after migrating to the valley of Kashmir, experienced challenges with respect to the cultural adaptation, health and well-being, stereotyping and employment opportunities. The data was collected in the month of June and July, keeping in view the massive influx of migrant worker in the valley. While collecting data from the first ten participants, the study encountered data saturation, as the same set of responses were observed. Meanwhile, two more respondents were added to the study to ensure that no data is left out, but again the same set of response was recorded. This prompted the investigator to cease the data collection process. Moreover, the current study was conducted at a time and place convenient to participants, usually at the online e-service shops, where these daily wage migrant labourers come for money transfer and other related activities. Thematic analysis of data was practiced as per the technique of Braun and Clarke (2006), which involves becoming acquainted with the data, looking for themes, validating and refining those themes, identifying and labelling those themes and finally creating the report.
Findings
The evidence-based findings reveal that significant challenges are experienced by the migrant workers in Kashmir, with respect to the social and cultural aspects of their lives.
Originality/value
Original research paper.
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Brian Kee Mun Wong, Foong Li Law and Chin Ike Tan
The emergence of consumerism has led to regulatory measures being integrated into business practices, but the influence of consumers in developing countries remains limited…
Abstract
The emergence of consumerism has led to regulatory measures being integrated into business practices, but the influence of consumers in developing countries remains limited, resulting in businesses being less responsive. The digital retail landscape is undergoing a transformative revolution, driven by Industrial Revolution (IR) 4.0 technological advancements such as artificial intelligence (AI), wearables, virtual reality (VR), augmented reality (AR), and blockchain technology. This development focuses on convenience, personalisation, and emotional connections. Companies are adapting to modern consumer behaviour through various strategies, including online shopping, mobile commerce, data analytics, technology integration, user reviews, and contactless payments. The COVID-19 pandemic has accelerated this seismic shift in the retail industry, and online retail is expected to continue to grow post-pandemic, driven by these technologies. AI enhances the customer experience, wearables provide interactive engagement, VR offers immersive shopping, AR merges online and physical shopping, and blockchain ensures secure transactions in the emerging metaverse. As retail converges with the metaverse, the potential for borderless and personalised shopping experiences is enormous. Advances in VR technology could lead to interconnected virtual spaces that seamlessly connect physical and digital retail, providing immersive and personalised shopping experiences. However, challenges such as cost, learning curves, digital security, legal ambiguity, data privacy, financial risk, and ethical considerations need to be addressed through vigilant and informed consumer engagement in this evolving digital landscape.
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Raman Kumar, Harwinder Singh and J.S. Dureja
The purpose of this paper is to make out a complete solution to logistic outsourcing problem in a medium‐scale organization by using consistent fuzzy preference relation (CFPR…
Abstract
Purpose
The purpose of this paper is to make out a complete solution to logistic outsourcing problem in a medium‐scale organization by using consistent fuzzy preference relation (CFPR) and vlsekriterijumska optimizacija i kompromisno resenje (VIKOR) method.
Design/methodology/approach
The initial approach to this research was to develop a comprehensive framework for logistic outsourcing problem and selection of most appropriate third party logistic (3PL) provider.
Findings
It has been found that the organization should outsource logistic activities. The alternatives (3PL providers) have also been ranked and the fifth 3PL provider has been termed as best third party logistic provider.
Research limitations/implications
The parameters selected for this study and developed framework are applicable only to a medium‐scale organization manufacturing automobile parts in northern India.
Originality/value
This is probably the first time that an attempt has been made to apply the two‐phase methodology approach, using CFPR and VIKOR, to analyze a multi‐criteria logistic outsourcing problem. A case is provided which demonstrates how to solve logistic outsourcing, a multi‐criteria decision‐making problem.