Sachin Kumar Raut, Ilan Alon, Sudhir Rana and Sakshi Kathuria
This study aims to examine the relationship between knowledge management and career development in an era characterized by high levels of youth unemployment and a demand for…
Abstract
Purpose
This study aims to examine the relationship between knowledge management and career development in an era characterized by high levels of youth unemployment and a demand for specialized skills. Despite the increasing transition to a knowledge-based economy, there is a significant gap between young people’s skills and career readiness, necessitating an in-depth analysis of the role of knowledge management at the individual, organizational and national levels.
Design/methodology/approach
The authors conducted a qualitative study using the theory-context-characteristics-methodology approach based on a systematic literature review. The authors created an ecological framework for reflecting on knowledge management and career development, arguing for a multidisciplinary approach that invites collaboration across sectors to generate innovative and reliable solutions.
Findings
This study presents a comprehensive review of the existing literature and trends, noting the need for more focus on the interplay between knowledge management and career development. It emphasizes the need for businesses to promote the acquisition, storage, diffusion and application of knowledge and its circulation and exchange to create international business human capital.
Practical implications
The findings may help multinational corporations develop managerial training programs and recruitment strategies, given the demand for advanced knowledge-based skills in the modern workspace. The study also discusses the influences of education, experience and job skills on business managers’ performance, guiding the future recruitment of talents.
Originality/value
To the best of the authors’ knowledge, this review is among the first to assess the triadic relationship between knowledge management, career development and the global unemployment crisis. The proposed multidisciplinary approach seeks to break down existing silos, thus fostering a more comprehensive understanding of how to address these ongoing global concerns.
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Debadrita Panda, Sachin Kumar Raut, Sudhir Rana and Mad Nasir Shamsudin
The study identifies barriers all stakeholders face in the returns management process. The pressing issue of online product returns significantly erodes the net profit margins…
Abstract
Purpose
The study identifies barriers all stakeholders face in the returns management process. The pressing issue of online product returns significantly erodes the net profit margins, demanding urgent action. Existing returns management systems are often complex, time-consuming and costly, failing to address this issue effectively. In this regard, persuasive technologies like gamification can effectively influence behaviour and enhance motivation towards reducing return by striking a balance between psychological and behavioural factors. Therefore, the study proposes a framework that combines the theory of planned behaviour and Octalysis to identify intentions to reduce product return rates in the e-commerce business.
Design/methodology/approach
A qualitative exploratory research design using a multiple case study-based approach with in-depth interviews conducted with 96 varied stakeholders was used to provide insights into the behavioural aspects for reducing return rates in e-commerce.
Findings
The results reveal three facets of effective returns management in e-commerce. Customers and delivery partners prioritize return processes, policies and rewards, emphasizing efficiency. Meanwhile, mid- and strategic-level employees are optimistic about return process enhancements. Interdepartmental integration and cross-functional communication are found to be vital, suggesting the need for a gamified framework in returns management.
Originality/value
This research enriches the returns management literature on gamification solutions and responds to the need for theoretical anchoring by applying the theory of planned behaviour at the organizational level to improve efficiency and customer centricity in the return process.
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Sudhir Rana, Sachin Kumar Raut, Sanjeev Prashar and Majdi Anwar Quttainah
The use of nostalgia in the marketing domain has been popular around the world. Nostalgia has been considered a complex yet ambivalent emotion, which has ignited curiosity among…
Abstract
Purpose
The use of nostalgia in the marketing domain has been popular around the world. Nostalgia has been considered a complex yet ambivalent emotion, which has ignited curiosity among marketing researchers and practitioners alike. In response to calls from marketing practitioners and scholars to understand nostalgia formation among consumers, this study tracks the evolution of nostalgia concepts in the domains of marketing and, more generally, business management. This study aims to highlight the development of a theoretical framework to integrate existing concepts and offer implications based on understanding nostalgia as a phenomenon among consumers as a tool for marketing practice.
Design/methodology/approach
This study is descriptive and inductive in nature. The manuscript is designed and positioned as a conceptual study exploring nostalgia’s journey from the domain of psychology to business management. The study synthesizes concepts of nostalgia from psychology, sociology and business management.
Findings
The study reveals that nostalgia in the business-management domain is not perceived in the same way as in psychology studies. It has journeyed through different schools of thought and is now used as an impactful marketing practice. The manuscript offers relevant information to marketing practitioners to improve their nostalgia marketing strategies, such as advertising and promotions, retro-branding, crowd-sourcing and culturally oriented practice. Subsequently, the manuscript offers pointers for understanding consumers across the generations and exploring nostalgia and consumption patterns for future research.
Research limitations/implications
The manuscript offers relevant information about nostalgia to marketing practitioners to improve their nostalgia marketing strategies and proposes avenues for future research to the domain scholars.
Originality/value
To the best of the authors’ knowledge, there is no comprehensive paper tracking the journey of nostalgia in business practices and providing directions for future research. This study extends existing literature both by suggesting future research directions and by drawing marketing practitioners’ attention to a conceptual framework for understanding the processes of and relationships with consumer nostalgia, including ways to use consumer nostalgia within marketing practices.
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Abhishek Behl, Manish Gupta, Angappa Gunasekaran and Zongwei Luo
Rakesh D. Raut, Bhaskar Gardas, Sunil Luthra, Balkrishna Narkhede and Sachin Kumar Mangla
The objective of this article is to carry out the driving power and dependency analysis of green human resource management (GHRM) indicators of the automotive service sector to…
Abstract
Purpose
The objective of this article is to carry out the driving power and dependency analysis of green human resource management (GHRM) indicators of the automotive service sector to identify the most significant ones.
Design/methodology/approach
The GHRM indicators were identified through exhaustive literature search and validated through the semi-structured interview with 15 domain experts. The ‘Total Interpretive Structural Modelling (TISM)’ approach was applied for exploring the contextual relationship between the indicators and simultaneously developing their structural hierarchy. The MICMAC analysis was used for categorising the indicators based on their ability to influence the other ones.
Findings
In the present study, indicators namely ‘Green organisational culture and adoption of green strategy (C5)’ and ‘Green training and development (C1)’ were found to be the significant ones, whereas ‘Green employee relations and union-management (C10)’ was found to be highly dependent on the rest of the indicators.
Research limitations/implications
The proposed model has been developed in the Indian context and is limited to the automotive sector. However, the same model may apply to other domains of different economies by carrying out slight modifications to the same. Also, the inputs taken from the experts of the case sector could be biased. For the HR professionals, the present study helps to identify the key indicators which need to be considered for enlightening the environmental performance of the service organisation.
Originality/value
This research adds a significant assessment to the current knowledge base by assessing the contextual relationship between the indicators of GHRM as none of the past studies focused on the same by using the TISM method in the Indian service sectors context.
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Rakesh Raut, Vaibhav Narwane, Sachin Kumar Mangla, Vinay Surendra Yadav, Balkrishna Eknath Narkhede and Sunil Luthra
This study initially aims to identify the barriers to the big data analytics (BDA) initiative and further evaluates the barriers for knowing their interrelations and priority in…
Abstract
Purpose
This study initially aims to identify the barriers to the big data analytics (BDA) initiative and further evaluates the barriers for knowing their interrelations and priority in improving the performance of manufacturing firms.
Design/methodology/approach
A total of 15 barriers to BDA adoption were identified through literature review and expert opinions. Data were collected from three types of industries: automotive, machine tools and electronics manufacturers in India. The grey-decision-making trial and evaluation laboratory (DEMATEL) method was employed to explore the cause–effect relationship amongst barriers. Further, the barrier's influences were outranked and cross-validated through analytic network process (ANP).
Findings
The results showed that “lack of data storage facility”, “lack of IT infrastructure”, “lack of organisational strategy” and “uncertain about benefits and long terms usage” were most common barriers to adopt BDA practices in all three industries.
Practical implications
The findings of the study can assist service providers, industrial managers and government organisations in understanding the barriers and subsequently evaluating interrelationships and ranks of barriers in the successful adoption of BDA in a manufacturing organisation context.
Originality/value
The paper is one of the initial efforts in evaluating the barriers to BDA in improving the performance of manufacturing firms in India.
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Sachin K. Mangla, Rakesh Raut, Vaibhav S. Narwane, Zuopeng (Justin) Zhang and Pragati priyadarshinee
This study aims to investigate the mediating role of “Big Data Analytics” played between “Project Performance” and nine factors including top management, project knowledge…
Abstract
Purpose
This study aims to investigate the mediating role of “Big Data Analytics” played between “Project Performance” and nine factors including top management, project knowledge management focus on sustainability, green purchasing, environmental technologies, social responsibility, project operational capabilities, project complexity, collaboration and explorative learning, and project success.
Design/methodology/approach
A sample of 321 responses from 106 Indian manufacturing small and medium-scaled enterprises (SMEs) was collected. Data were analyzed using empirical analysis through structural equation modeling.
Findings
The result shows that project knowledge management, green purchasing and project operational capabilities require the mediating support of big data analytics. The adoption of big data analytics has a positive influence on project performance in the manufacturing sector.
Practical implications
This study is useful to SMEs managers, practitioners and government policymakers to develop an understanding of big data analytics, eliminate challenges in the adoption of big data, and formulate strategies to handle projects efficiently in SMEs in the context of Indian manufacturing.
Originality/value
For the first time, big data for manufacturing firms handing innovative projects was discussed in the Indian SME context.
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Anil Kumar, Amit Pal, Ashwani Vohra, Sachin Gupta, Suryakant Manchanda and Manoj Kumar Dash
Supplier selection for capital procurement is a major strategic decision for any automobile company. The decision determines the success of the company and must be taken…
Abstract
Purpose
Supplier selection for capital procurement is a major strategic decision for any automobile company. The decision determines the success of the company and must be taken systematically with the utmost transparency. The purpose of this paper is to construct capital procurement decision-making model to optimize supplier selection in the Indian automobile industry.
Design/methodology/approach
To achieve the stated objective, a combined approach of fuzzy theory and AHP-DEMATEL is applied. Evaluation parameters are identified through an extensive literature review and criteria validation has been introduced through a Fuzzy Delphi method by using fuzzy linguistic scales to handle the vagueness of information. AHP is employed to find the priority weight of criteria, although an inter-relationship map among criteria is not possible through AHP alone since it considers all criteria as independent. To overcome this, DEMATEL is used to establish cause-effect relationships among criteria.
Findings
The results show that the total cost of ownership (TOC) is the first weighted criterion in supplier selection for capital procurement, followed by manufacturing flexibility and maintainability, then conformity with requirement. The cause-effect model shows that supplier profile, TOC, service support and conformity with requirement are in the cause group and are considered to be the most critical factors in selecting the supplier.
Originality/value
The study’s outcome can help the automobile industry to optimize their selection process in selecting their suppliers for capital procurement; the proposed model can provide guidelines and direction in this regard.
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Yigit Kazancoglu, Sachin Kumar Mangla, Malin Song, Guo Li and Flavio Hourneaux Junior