Exploring the key success factors of advanced manufacturing technology implementation in Indian manufacturing industry

2018 ◽  
Vol 29 (1) ◽  
pp. 25-40 ◽  
Author(s):  
Raman Kumar ◽  
Harwinder Singh ◽  
Rohit Chandel
Keyword(s):  
Production System ◽  
Latent Variable ◽  
Structural Equation ◽  
Manufacturing Industry ◽  
Success Factors ◽  
Manufacturing Technology ◽  
Equation Modeling ◽  
Advanced Manufacturing Technology ◽  
Advanced Manufacturing ◽  
Content Type

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.

Business excellence via advanced manufacturing technology and lean-agile manufacturing

2018 ◽  
Vol 29 (1) ◽  
pp. 2-24 ◽  
Author(s):  
Morteza Ghobakhloo ◽  
Adel Azar
Keyword(s):  
Business Performance ◽  
Manufacturing Systems ◽  
Hybrid Approach ◽  
Agile Manufacturing ◽  
Manufacturing Technology ◽  
Equation Modeling ◽  
Future Research ◽  
Advanced Manufacturing Technology ◽  
Advanced Manufacturing ◽  
Content Type

Purpose The purpose of this paper is to contribute to the existing knowledge about the relationships between advanced manufacturing technology (AMT), lean manufacturing (LM), agile manufacturing (AM), and business performance. Design/methodology/approach A questionnaire-based survey was performed to collect data from 189 Iranian automobile part manufacturers. Statistical analysis of hypothesized relationships was conducted via partial least squares structural equation modeling. Findings AMT significantly contributes to the development of both LM and AM. These manufacturing systems can co-exist in one system, and LM is a precursor to AM. LM contributes to operational performance whereas AM improves marketing performance and financial performance. Research limitations/implications Relying on the cross-sectional data of this research, and lack of generalizability of findings are key limitations. An interesting direction for future research would be to empirically offer a hybrid lean-agile approach and further map the mechanism through which this hybrid approach can be achieved in practice. Practical implications Both LM and AM are information-intensive and highly supported by AMT. They contribute to different aspects of business performance. Pursuing both cost-leadership strategy and product mix flexibility is viable via hybridizing the lean and agile systems. Originality/value This study is among the first to address issues related to the lean-AM relationship among developing countries. This study is unique in the sense it shows the mechanism through which the value of AMT is truly transformed to performance improvement.

Relationships among advanced manufacturing technology, innovation, export, and firm performance

Kybernetes ◽  
2018 ◽  
Vol 47 (9) ◽  
pp. 1836-1856 ◽  
Author(s):  
Serkan Altuntas ◽  
Omer Cinar ◽  
Selahattin Kaynak
Keyword(s):  
Firm Performance ◽  
Conceptual Model ◽  
Manufacturing Firms ◽  
Manufacturing Technology ◽  
Equation Modeling ◽  
Advanced Manufacturing Technology ◽  
Advanced Manufacturing ◽  
Manufacturing Companies ◽  
Content Type ◽  
The Relationship

Purpose The purpose of this study is to find the relationships among advanced manufacturing technology (AMT), innovation, export and firm performance by using data obtained from 310 Turkish manufacturing firms. Design/methodology/approach A survey study was performed to obtain data from manufacturing firms. Multiple-item scales were adapted from the literature to conduct the survey in this study. Data were collected from five cities located in the Southeastern Anatolia Region in Turkey (Gaziantep, Adiyaman, Kilis, Diyarbakir and Sanliurfa). Structural equation modeling was utilized to investigate the relationships among AMT, innovation, export and firm performance in Turkish manufacturing firms operating in several industries. The direct and indirect relations between these variables are examined in the proposed conceptual model. In addition, the complex relations including in the proposed model are assessed in detail through the mediation analysis. Findings Six of the proposed ten hypotheses related to manufacturers are validated by the empirical evidence from manufacturing companies in Turkey. Significant findings obtained in this study include the following: there are strong positive associations between the use of AMT and innovation and between export and firm performance. In addition, innovation mediates the relationship between AMT and firm performance and between AMT and export. Finally, export mediates the relationship between AMT and firm performance and between innovation and firm performance. It is expected that the results obtained from this empirical analysis will help decision makers and managers to construct a good technology and production management strategy for manufacturing systems. Originality/value In this study, a novel conceptual model is proposed to examine the relationships among AMT, innovation, export and firm performance via the use of survey responses from 310 Turkish manufacturing firms. To the authors’ best knowledge, this is the first study that proposes such a conceptual model in the literature.

Job meaningfulness, employee engagement, supervisory support and job performance: a moderated-mediation analysis

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Abinash Panda ◽  
Subhashis Sinha ◽  
Nikunj Kumar Jain
Keyword(s):  
Job Performance ◽  
Employee Engagement ◽  
Social Exchange ◽  
Structural Equation ◽  
Manufacturing Industry ◽  
Equation Modeling ◽  
Conservation Of Resources ◽  
Supervisory Support ◽  
Content Type ◽  
Job Meaningfulness

PurposeGuided by social exchange, broaden and build and conservation of resources theoretical perspectives, this study explores the moderated mediating role of supervisory support (SS) on the relationship between job meaningfulness (JM) on job performance (JP) through employee engagement (EE).Design/methodology/approachField data were collected from two hundred and nineteen executives and their thirty-eight supervisors of a large paint manufacturing industry through a time-lagged research design and was analyzed with partial least squares based structural equation modeling.FindingsFindings of this study indicate that JM mediated by EE contributes to JP, which means if an employee finds one's job meaningful, she/he is likely to be more engaged emotionally, psychologically and cognitively to deliver better JP. SS is also found to be salient as it moderates both direct and indirect relationships between JM and JP through EE.Research limitations/implicationsGeneralizability of the findings of this study should be done with caution. Though the study has time-laggard data from two different sources but missing longitudinal data restricts causality of relationships/findings.Practical implicationsThese findings are relevant for organizations given that organizational leaders can create a context, by appropriate job design and engaging work context that motivates employees to perform better in their jobs. Insights of this study will be useful for organizations to curate meaningful jobs for their employees and also groom leaders with requisite skills and competencies to help subordinates perform up to their potential.Originality/valueThis study is an attempt toward a better understanding of the interplay of JM, work engagement and SS on JP in a manufacturing set-up in India, which has not been hitherto examined in Indian context.

The effect of supplier development initiatives on purchasing performance: a structural model

2005 ◽  
Vol 10 (4) ◽  
pp. 289-301 ◽  
Author(s):  
Cristóbal Sánchez‐Rodríguez ◽  
David Hemsworth ◽  
Ángel R. Martínez‐Lorente
Keyword(s):  
Supply Chain ◽  
Structural Equation ◽  
Manufacturing Industry ◽  
Structural Model ◽  
Essential Element ◽  
Equation Modeling ◽  
Supplier Development ◽  
Manufacturing Companies ◽  
Content Type ◽  
Different Levels

PurposeSupply chain management is an increasingly important organizational concern, and proper management of supplier relationships constitutes one essential element of supply chain success. However, there is little empirical research that has tested the effect of supplier development on performance. The main objective is to analyze the effect of supplier development practices with different levels of implementation complexity on the firm's purchasing performance.Design/methodology/approachThree supplier development constructs were defined: basic supplier development, moderate supplier development, and advanced supplier development. Three structural models were hypothesized and tested using structural equation modeling through field research on a sample of 306 manufacturing companies in Spain.FindingsIdentified important interrelationships among the various supplier development practices, basic, moderate, and advanced. Also indicated that the implementation of supplier development practices significantly contributes to the prediction of purchasing performance.Research limitations/implicationsThe use of a single key informant could be seen as a potential limitation of the study. The study was a cross‐sectional and descriptive sample of the manufacturing industry at a given point in time. A more stringent test of the relationships between the different levels of supplier development and performance requires a longitudinal study, or field experiment.Practical implicationsThis study focused on supplier development practices and revealed how involving suppliers in supplier development activities is important and may help buyers to increase their purchasing performance. The findings from the structural analysis should provide practicing managers with insights on how these practices and their benefits are related in terms of purchasing performance, thus affecting their ability to make better sourcing decisions.Originality/valueFills an important gap in the purchasing literature with respect to the area of supplier development. While there is much written about supplier development based on conceptual and case study research, this study is unique in that it is the first attempt to empirically model the relationships between different levels of supplier development and their impact on purchasing performance using a comprehensive set of practices.

Halal food standard implementation: are Malaysian firms proactive or reactive?

2018 ◽  
Vol 120 (6) ◽  
pp. 1330-1343 ◽  
Author(s):  
Mohamed Syazwan Ab Talib ◽  
Thoo Ai Chin
Keyword(s):  
Structural Equation ◽  
Manufacturing Industry ◽  
Equation Modeling ◽  
Internal Factors ◽  
Content Type ◽  
Internal Reasons ◽  
Food Standard ◽  
Operational Improvement ◽  
Halal Food ◽  
External Reasons

Purpose The purpose of this paper is to investigate the reasons behind halal food standard (HFS) implementation among food manufacturers in Malaysia. Additionally, it examines whether firms in the Malaysian food manufacturing industry are proactive or reactive in implementing HFS. Design/methodology/approach A field survey was conducted in 210 halal-certified food manufacturers. A partial least squares structural equation modeling technique was used to examine the relationships between the reasons and implementation of HFS. Findings The empirical assessments revealed that organization’s commitment, operational improvement and marketing functions are the internal reasons. Meanwhile, government intervention and consumer pressure are the external reasons to implement HFS. Findings also indicated that Malaysian food manufacturers are proactive in implementing HFS. Practical implications The knowledge from this research could encourage non-certified firms to implement HFS and entices halal-certified firms to remain certified. It guides managers toward adopting a better strategy, particularly in prioritizing the internal factors and resources for a more sustainable and positive implication. Originality/value This research is among the few studies that scrutinized the rationale behind the rapid growth of halal food industry. It argues that the pursuit of HFS is not solely a religious obligation, but it is also driven by safety, quality and marketing motives.

Linking employee perceptions and employee attitudes through their levels of organizational identification: a field investigation in India

2022 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Soumendu Biswas
Keyword(s):  
Social Exchange ◽  
Organizational Support ◽  
Organizational Identification ◽  
Latent Variable ◽  
Structural Equation ◽  
Employee Attitudes ◽  
Equation Modeling ◽  
Full Time ◽  
Variable Model ◽  
Content Type

PurposeDespite organizational socialization and support, contemporary managers often perceive employees to be less engaged and attached to their workplace, multiplying their workload with unsolicited vexations and worries. In this connection, the purpose of this paper is to explore and possibly confirm the ameliorative role of organizational identification as a mediator between employees' perceptions of organizational support and justice and their favorable association to their levels of engagement and attenuation of their intentions to quit.Design/methodology/approachSuitable theories such as the social exchange and fairness heuristics theories were examined to select and support the study constructs. Accordingly, the literature was reviewed to formulate the study hypotheses and connect them through a conceptual latent variable model (LVM). Data were collected from 402 full-time managerial executives all over India. The data thus collected were subjected to structural equation modeling (SEM) procedures.FindingsAll the measures used in this study had acceptable reliabilities as indicated by their Cronbach's Alpha values. Based on the SEM procedures all the study hypotheses and one of the competing LVMs labeled as LVM5 was finally accepted.Originality/valueThe distinctive feature of this study is the theoretical compilation of all the study constructs in one LVM and subsequent empirical verification of the same. This study is, perhaps, the first of its kind to examine the implications of such justice-based perceptions of social exchange relations between employees and their organizations in India more so, since it considers support and justice to complement each other as an interactive whole.

Establishing the synergy between the perceptions of construction professionals and the phases of value management

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Mujahed Thneibat ◽  
Motasem Thneibat ◽  
Bader Al-Tamimi
Keyword(s):  
Construction Industry ◽  
Structural Equation ◽  
Success Factors ◽  
Function Analysis ◽  
Local Context ◽  
Equation Modeling ◽  
Value Management ◽  
Content Type ◽  
Implementation Phase ◽  
The Status

PurposeThis study aims to lay the groundwork for the potential application of value management (VM) in construction projects. This paper presents a critical review on the status of VM in a developing country and highlights the role of perceptions on critical success factors (CSFs) for the phases of VM studies, as the participants in a VM study should consider CSFs tailored to the local context.Design/methodology/approachA series of interviews and a questionnaire were conducted to understand the drivers, perceptions, barriers, and CSFs of VM in the Jordanian construction industry. Although descriptive statistics were used to analyze the status of VM, a structural equation modeling (SEM) approach was adopted to highlight the interrelationships between perceptions and the CSFs of the three phases of VM (i.e. pre-workshop, workshop, and implementation).FindingsThe descriptive analysis revealed conflicting viewpoints for perceptions and drivers. Most practitioners acknowledged little awareness of VM phases, and the SEM results indicated that perceptions of VM, in terms of its capacity in improving the scope and objectives of the project, and reducing overall costs, most strongly influenced the CSFs of the implementation phase in terms of support and clear plan for implementation, and had the least influence on the pre-workshop phase. Further, the perceptions had a moderate effect on the CSFs of the workshop phase and it tended to be positive, highlighting the importance of function analysis in this phase.Originality/valueThis is the first study to reveal the status of VM in Jordan in terms of adoption, drivers, perceptions, barriers and CSFs; no prior studies have investigated how perceptions can affect the CSFs of each phase of VM and the endorsement of VM by the construction industry. The contributions of this study include linking the perceptions of construction professionals with the CSFs of VM.

Reverse mentoring and job crafting as resources for health: a work engagement mediation model

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Neha Garg ◽  
Wendy Marcinkus Murphy ◽  
Pankaj Singh
Keyword(s):  
Social Exchange ◽  
Work Engagement ◽  
Latent Variable ◽  
Structural Equation ◽  
Negative Relationship ◽  
Well Being ◽  
Job Crafting ◽  
Equation Modeling ◽  
Theoretical Frameworks ◽  
Content Type

PurposeThis paper examines whether employee-driven practices of reverse mentoring and job crafting lead to work engagement and, in turn, to higher levels of prospective mental and physical health.Design/methodology/approachIntegrating social exchange theory and the job demands and resources model as theoretical frameworks, survey data were collected from 369 Indian software developers to test the research model. Latent variable structural equation modeling was used to empirically test the hypothesized associations.FindingsThe findings reveal that both reverse mentoring and job crafting are significantly associated with work engagement. Work engagement fully mediated the negative relationship between 1) reverse mentoring and mental ill-health and 2) job crafting and physical ill-health, while it partially mediated the negative relationship between 1) reverse mentoring and physical ill-health and 2) job crafting and mental ill-health.Practical implicationsThe results demonstrate that by implementing the practices of reverse mentoring and job crafting, managers can achieve desired levels of engagement among employees and sustain organizational productivity by promoting employee health and well-being.Originality/valueThis study is one of the early attempts to empirically demonstrate the associated health outcomes of reverse mentoring and job crafting.

Overwork and overtime on turnover intention in non-luxury hotels: Do incentives matter?

2020 ◽  
Vol 3 (4) ◽  
pp. 397-414 ◽  
Author(s):  
Kim-Lim Tan ◽  
Pei-Lin Sim ◽  
Fu-Quan Goh ◽  
Choi-Meng Leong ◽  
Hiram Ting
Keyword(s):  
Turnover Intention ◽  
Latent Variable ◽  
Structural Equation ◽  
Emerging Market ◽  
Sampling Technique ◽  
Moderating Effect ◽  
Equation Modeling ◽  
Content Type ◽  
Luxury Hotels ◽  
Job Strains

PurposeGiven the intense competition in the hotel industry, this study investigates the effect of overwork (OW) and overtime (OT) on turnover intention (TI) as well as the moderating effect of incentives in the context of non-luxury hotels in an emerging market.Design/methodology/approachUsing a purposive sampling technique, a total of 271 front-line employees who are currently working in non-luxury hotels in Sarawak responded to the study. Partial least squares structural equation modeling (PLS-SEM) was used to perform latent variable and moderation analyses.FindingsThe findings show that both OW and OT have a direct impact on TI. Contrary to the past studies, incentives do not exert any moderating effect on the relationship between OW, OT and TI among the employees working at non-luxury hotels.Originality/valueThis is one of the first studies to explore the effect of incentives between OW and working OT on TI in the context of the non-luxury hotels in an emerging market and show why incentives might not work. It further advances the understanding of the JD-R theory, demonstrating the necessity for organizations to provide matching resources to address job strains.

Development of a structural model of environmentally conscious manufacturing drivers

2014 ◽  
Vol 25 (8) ◽  
pp. 1195-1208 ◽  
Author(s):  
Varinder Kumar Mittal ◽  
Kuldip Singh Sangwan
Keyword(s):  
Factor Analysis ◽  
Structural Equation ◽  
Manufacturing Industry ◽  
Structural Model ◽  
Equation Modeling ◽  
Special Focus ◽  
Successful Implementation ◽  
Environmentally Conscious ◽  
Content Type ◽  
Environmentally Conscious Manufacturing

Purpose – Manufacturing firms consume energy and natural resources in highly unsustainable manner and release huge amounts of green house gases leading to many economic, environmental and social problems; from local waste disposal to climate change. Consciousness about these issues has lead to a new manufacturing paradigm of environmentally conscious manufacturing (ECM). There exist many social, legislative, policy, economic, internal, and environmental factors which can motivate and/or force industry to adopt ECM. The purpose of this paper is to identify the drivers for ECM, developing a model of these drivers using statistical analysis and testing the model using structural equation modeling (SEM) technique. Design/methodology/approach – The basic steps of methodology are ECM driver development, survey instrument development, data collection, model proposition, and model validation. The main data analysis approaches are exploratory factor analysis, confirmatory factor analysis, and SEM to develop a model of drivers and validating the same based on the data collected from the manufacturing industry. Findings – The reliable, valid, and tested model has three types of drivers – internal, policy, and economic. It has been found through hypothesis testing that internal drivers for the implementation of ECM are positively related to policy and economic drivers; and policy drivers are positively related to economy drivers. This research is expected to help government and industry in developing policies and strategies for the successful implementation of ECM. Practical implications – The novelty of this study is that it provides the relationship among the drivers which can be leveraged by the managers to focus on the root drivers for smooth and effective implementation of ECM. Originality/value – This paper provides new theoretical insight into the factors motivating the industry to implement ECM systems in the industry with special focus on manufacturing sector of emerging economies.

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