Reinforcing the significance of human factor in achieving quality performance in data-driven supply chain management

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Sanjana Mondal ◽  
Kaushik Samaddar
Keyword(s):  
Supply Chain ◽  
Organizational Performance ◽  
Industry 4.0 ◽  
Management Practices ◽  
Human Factor ◽  
Research Work ◽  
Data Driven ◽  
Theory Approach ◽  
Quality Performance ◽  
Content Type

PurposeThe paper aims to explore the various dimensions of human factor relevant for integrating data-driven supply chain quality management practices (DDSCQMPs) with organizational performance. Keeping the transition phase from “Industry 4.0” to “Industry 5.0” in mind, the paper reinforces the role of the human factor and critically discusses the issues and challenges in the present organizational setup.Design/methodology/approachFollowing the grounded theory approach, the study arranged in-depth interviews and focus group sessions with industry experts from various service-oriented firms in India. Dimensions of human factor identified from there were grouped together through a morphological analysis (MA), and interlinkages between them were explored through a cross-consistency matrix.FindingsThis research work identified 20 critical dimensions of human factor and have grouped them under five important categories, namely, cohesive force, motivating force, regulating force, supporting force and functional force that drive quality performance in the supply chain domain.Originality/valueIn line with the requirements of the present “Industry 4.0” and the forthcoming “Industry 5.0”, where the need to collaborate human factor with smart system gets priority, the paper made a novel attempt in presenting the critical human factors and categorizing them under important driving forces. The research also contributed in linking DDSCQMPs with organizational performance. The proposed framework can guide the future researchers in expanding the theoretical constructs through initiating further cross-cultural studies across industries.

Influence of data-driven supply chain quality management on organizational performance: evidences from retail industry

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Anil Kumar ◽  
Rohit Kumar Singh ◽  
Sachin Modgil
Keyword(s):  
Supply Chain ◽  
Quality Management ◽  
Organizational Performance ◽  
Significant Relationship ◽  
Management Practices ◽  
Structural Model ◽  
Data Driven ◽  
Equation Modeling ◽  
Retail Sector ◽  
Content Type

PurposeThe objective of the study is to test a conceptual model based on the interrelation between data-driven supply chain quality management practices (DDSCQMP) and the performance of organized retailing firms in India.Design/methodology/approachBased on a comprehensive review of literature, the dimensions of DDSCQMP concerning the Indian organized retail sector have been extracted. Considering the research objectives, the research data has been collected using a structured questionnaire from Indian retailers. Overall 133 questionnaires were responded successfully from retailers. The model was tested using structured equation modeling (SEM) through PLS 3.0.FindingsThe research findings confirm hypotheses and reveal the statistically significant relationship between DDSCQMP and retailers' performance at an aggregate level. However, the results of the individual-level analysis of DDSCQMP appear to vary from practice to practice. Among various DDSCQMP, “customer focus” with the highest beta (ß) value was found to have the greatest impact on performance followed by “employee relations”.Originality/valueThe study provides empirical justification for a structural model that identifies a positive and significant relationship between DDSCQMP and organizational performance within the context of organized retail sector of India.

Identification and analysis of circular supply chain management practices for sustainability: a fuzzy-DEMATEL approach

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Manju Saroha ◽  
Dixit Garg ◽  
Sunil Luthra
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Management Practices ◽  
Research Work ◽  
Fuzzy Decision Making ◽  
Fuzzy Dematel ◽  
Chain Management ◽  
Content Type ◽  
Cause And Effect ◽  
Causal Framework

PurposeCircular supply chain management (CSCM) is proving to be a strong contributor towards sustainable development. The purpose of this study is to analyse the circular practices in CSCM implementation towards sustainability in the Indian auto sector; these practices are at the initial stage in a developing economy.Design/methodology/approachIn this research work, a framework has been developed to enrich understanding of various CSCM practices for sustainability. To develop a causal framework, a Fuzzy Decision-Making Trial and Evaluation Laboratory (F-DEMATEL) methodology has been adopted.FindingsThe results produce 32 practices with cause and effect groups and their importance/priorities. Based on F-DEMATEL, these 32 practices are grouped into cause and effect groups based on R + C and R − C values.Research limitations/implicationsThe findings will help managers and decision-makers to gain a deeper understanding of the practices and their nature; the governmental and financial practices are identified as the most critical factors that need more attention. The results will help strategy makers to plan accordingly.Originality/valueThis research has identified and analysed 32 basic practices and their interrelationships to achieve sustainability in CSCM.

Comprehensive supply chain management model

2019 ◽  
Vol 24 (5) ◽  
pp. 590-603 ◽  
Author(s):  
Kenneth W. Green ◽  
R. Anthony Inman ◽  
Victor E. Sower ◽  
Pamela J. Zelbst
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Organizational Performance ◽  
Market Orientation ◽  
Management Practices ◽  
Equation Modeling ◽  
Total Quality ◽  
Chain Management ◽  
Content Type ◽  
Improvement Programs

Purpose The purpose of this paper is to develop and empirically assess a comprehensive operations and supply chain management (SCM) model. The theorized model incorporates supply chain market orientation, Just-in-Time (JIT) and Total Quality Management (TQM) as antecedents and agile production (AP) and green SCM (GSCM) practices as consequences. Design/methodology/approach Data from a sample of 136 US manufacturing managers were collected via an on-line survey firm. A partial least squares structural equation modeling is used to assess the efficacy of the theorized model. Findings Generally, market orientation supports the implementation of JIT and TQM, JIT and TQM support implementation of SCM, SCM supports implementation of AP and green supply chain management practices (GSCMP) and AP and GSCMP positively impact organizational performance. Research limitations/implications The model tested reflects the synergy created though the implementation of management improvement programs that support the six strategic imperatives of customer focus, efficiency, effectiveness, integration with supply chain partners, responsiveness, and environmental sustainability and the effects of those programs on the marketing and financial performance of manufacturing organizations. Practical implications The theorized model and results provide practicing managers with a blueprint for the systematic implementation of the improvement programs. Originality/value A comprehensive operations and SCM model is proposed and empirically assessed. The results of this investigation support the proposition that market orientation, JIT, TQM, SCM, AP and GSCMPs combine to positively affect organizational performance. The central role of the SCM construct is emphasized.

Supply chain integration and Industry 4.0: a systematic literature review

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Saurabh Tiwari
Keyword(s):  
Supply Chain ◽  
Literature Review ◽  
Conceptual Framework ◽  
Organizational Performance ◽  
Systematic Literature Review ◽  
Industry 4.0 ◽  
Building Blocks ◽  
Supply Chain Integration ◽  
Extensive Literature ◽  
Content Type

PurposeThe current industrial revolution is powered by data, which is also referred as Industry 4.0. The Industry 4.0 has attracted significant attention from academia and the industry professionals. The supply chain integration (SCI) has played a significant role in enhancing supply chain performance and organizational performance. This study explores the relationship between Industry 4.0 and SCI via an extensive literature review to understand the various levels of integration with the supply chain processes and to identify missing links, through a framework, and suggest further research directions.Design/methodology/approachIn this paper, we have used systematic literature review approach to identify the building blocks of the conceptual framework, which is the main contribution of the present study. We have used Scopus database to search literature using keywords.FindingsThe study offers some interesting insights that may help scholars to advance theoretical debates. Moreover, the study also provides interesting direction to the practitioners engaged in supply chain management in data-driven environment. In this study, we have proposed a conceptual framework for the adoption of Industry 4.0 and SCI.Research limitations/implicationsIn this study we have proposed a conceptual framework. However, the framework is yet to be empirically tested. Hence, we caution readers to evaluate the findings of the present study in context to its limitations. This is an attempt to develop a conceptual framework which may be tested using longitudinal data.Originality/valueThe present work helps in integrating two independent subjects', i.e. Industry 4.0 and SCI. The theoretical framework presented here integrates Industry 4.0 and SCI which can be useful to the practitioners and policymakers engaged in implementing Industry 4.0.

Green sourcing in the era of industry 4.0: towards green and digitalized competitive advantages

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Alireza Fallahpour ◽  
Morteza Yazdani ◽  
Ahmed Mohammed ◽  
Kuan Yew Wong
Keyword(s):  
Decision Making ◽  
Supply Chain ◽  
Supply Chain Management ◽  
Industry 4.0 ◽  
Supplier Selection ◽  
Research Work ◽  
Operational Efficiency ◽  
Chain Management ◽  
Content Type ◽  
The Way

PurposeIn the last decade, sustainable sourcing decision has gained tremendous attention due to the increasing governmental restrictions and public attentiveness. This decision involves diverse sets of classical and environmental parameters, which are originated from a complex, ambiguous and inconsistent decision-making environment. Arguably, supply chain management is fronting the next industrial revolution, which is named industry 4.0, due to the fast advance of digitalization. Considering the latter's rapid growth, current supplier selection models are, or it will, inefficient to assign the level of priority of each supplier among a set of suppliers, and therefore, more advanced models merging “recipes” of sustainability and industry 4.0 ingenuities are required. Yet, no research work found towards a digitalized, along with sustainability's target, sourcing.Design/methodology/approachA new framework for green and digitalized sourcing is developed. Thereafter, a hybrid decision-making approach is developed that utilizes (1) fuzzy preference programming (FPP) to decide the importance of one supplier attribute over another and (2) multi-objective optimization on the basis of ratio analysis (MOORA) to prioritize suppliers based on fuzzy performance rating. The proposed approach is implemented in consultation with the procurement department of a food processing company willing to develop a greener supply chain in the era of industry 4.0.FindingsThe proposed approach is capable to recognize the most important evaluation criteria, explain the ambiguity of experts' expressions and having better discrimination power to assess suppliers on operational efficiency and environmental and digitalization criteria, and henceforth enhances the quality of the sourcing process. Sensitivity analysis is performed to help managers for model approval. Moreover, this work presents the first attempt towards green and digitalized supplier selection. It paves the way towards further development in the modelling and optimization of sourcing in the era of industry 4.0.Originality/valueCompetitive supply chain management needs efficient purchasing and production activities since they represent its core, and this arises the necessity for a strategic adaptation and alignment with the requirement of industry 4.0. The latter implies alterations in the avenue firms operate and shape their activities and processes. In the context of supplier selection, this would involve the way supplier assessed and selected. This work is originally initiated based on a joint collaboration with a food company. A hybrid decision-making approach is proposed to evaluate and select suppliers considering operational efficiency, environmental criteria and digitalization initiatives towards digitalized and green supplier selection (DG-SS). To this end, supply chain management in the era of sustainability and digitalization are discussed.

Assessment of green supply chain management practices, performance, pressure and barriers amongst Indian manufacturer to achieve sustainable development

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Shyamkumar D. Kalpande ◽  
Lalit K. Toke
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Organizational Performance ◽  
Organizational Context ◽  
Management Practices ◽  
Green Supply Chain Management ◽  
Green Supply Chain ◽  
Chain Management ◽  
Content Type ◽  
Theoretical Conception

PurposeThe main objective of this paper is to integrate a typology of green supply chain management (GSCM) practices, performances, pressures and barriers with organizational performance theories. Also the aim of this paper is to investigate the present statues of GSCM amongst Indian manufacturer.Design/methodology/approachThrough a systematic review, the study identified 27 GSCM practices, 16 GSCM performances, 06 GSCM pressures and 15 GSCM barriers that were organized into categories according to their theoretical conception, organizational context and characteristics. The survey and interview methods are used for data collection and analyzed by five-point Likert scale.FindingsThe main finding of this paper is ranking of identified GSCM practices, performances, pressures and barriers. The study identified three organizational context dimensions (innovation, performance and management) and investigated the present status of GSCM. The main contribution of the study is the alignment of each category of GSCM practices, performances, pressures and barriers and organizational dimension with the selected theoretical lenses that can help future investigations to deepen the analysis of GSCM. Besides the theoretical contributions, the authors believe this contribution can also achieve practitioners.Originality/valueThe authors provide a comprehensive typology of GSCM practices, performances, pressures and barriers based on empirical evidence and conceptual arguments.

The impact of applying knowledge in the technological pillars of Industry 4.0 on supply chain performance

Kybernetes ◽  
2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Anurak Sawangwong ◽  
Poti Chaopaisarn
Keyword(s):  
Factor Analysis ◽  
Supply Chain ◽  
Organizational Performance ◽  
Cyber Security ◽  
Industry 4.0 ◽  
Structural Equation ◽  
Equation Modeling ◽  
Supply Chain Performance ◽  
Content Type ◽  
The Impact

PurposeThe purpose of the study is to investigate the impact of technological pillars of Industry 4.0 based on knowledge to adopt the supply chain performance of Thai small and medium-sized enterprises (SMEs) 4.0. In addition, to increase knowledge and understanding of how to apply knowledge in technology 4.0 to improve the efficiency of supply chains and organizations.Design/methodology/approachAn integrated model was developed from applying knowledge in five technological pillars of Industry 4.0 such as Internet of things (IoTs), cloud computing, big data and analytics, additive manufacturing and cyber-security. The bibliometric analysis was used to find the relationship between the technological pillars of Industry 4.0 and the literature review. The survey questionnaires were sent to Thai SME 4.0 (manufacturing aspect). Of these, 240 useable responses were received, resulting in a response rate of 65.84%, after then, the exploratory factor analysis (EFA), confirmatory factor analysis (CFA), structural equation modeling (SEM) and validity were used to evaluate the model through IBM SPSS 21 and AMOS 22.FindingsEFA showed the four groups of the technological pillars of Industry 4.0, such as support human, automation, real-time and security. These groups positively impact supply chain performance (increase delivery reliability, increase resource efficiency, decrease costs in the supply chain and reduce delivery time). Another important finding is that supply chain performance positively impacts organizational performance in profitability, return on investment (ROI) and sale growth.Originality/valueThis study is a model development to support the supply chain performance and increase understanding related to applying knowledge in technology 4.0 that remains unclear for SME 4.0.

Antecedents and consequences of green supply chain management in Taiwan's electric and electronic industry

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Yi-Chun Huang ◽  
Elaine Quintana Borazon ◽  
Jen-Ming Liu
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Organizational Performance ◽  
Management Practices ◽  
Positive Impact ◽  
Green Supply Chain Management ◽  
Green Supply Chain ◽  
Electronic Industry ◽  
Chain Management ◽  
Content Type

PurposeEnvironmental sustainability is one of the most pressing issues faced by the electric and electronics industry today. Industries are being challenged to incorporate environmental initiatives in their corporate strategies. Thus, this study aims to investigate the impact of stakeholder pressures (regulatory, internal and market) on green supply chain management and green corporate resources as well as their effects on the economic and environmental performance of Taiwan's electric and electronic industry.Design/methodology/approachA total of 194 valid questionnaires were collected out of the 1,000 questionnaires distributed to Taiwan's electric and electronic product manufacturers. A structural equation modeling, using Amos 22.0, was used to test the hypotheses.FindingsThe results of the analyses show that stakeholder pressure has a significant positive impact on corporate green resources and green supply chain management practices while green supply chain management practices have a significant and positive impact on organizational performance. Moreover, corporate green resources provide a mediation between organizational stakeholder pressure and green supply chain management.Practical implicationsThe results may be of value and interest to supply chain managers and policymakers on the push factors for implementing green supply chain management practices and their consequences.Originality/valueThis paper shows the complementarity of stakeholder and resource-based theories in influencing organizational performance in the electric and electronic industry in the context of sustainable development. This also enhances the understanding of the antecedents and consequences of green supply chain management and provides robust findings on the relationship between environmental and economic performance.

Knowledge management capability and supply chain management practices in the Saudi food industry

2018 ◽  
Vol 24 (2) ◽  
pp. 459-477 ◽  
Author(s):  
Ahmed Attia ◽  
Ingy Salama
Keyword(s):  
Knowledge Management ◽  
Supply Chain ◽  
Supply Chain Management ◽  
Organizational Performance ◽  
Conceptual Model ◽  
Food Industry ◽  
Management Practices ◽  
Equation Modeling ◽  
Chain Management ◽  
Content Type

Purpose The purpose of this paper is to examine the effect of knowledge management capabilities (KMCs) on supply chain management practices (SCMP) and organizational performance (OP) in firms, in addition to examining the effect of supply chain management on OP. Design/methodology/approach To demonstrate the effect of KMCs on SCMP, and OP, different techniques such as factor analysis, correlation analysis, and structural equation modeling were used to verify the validity of the proposed conceptual model and to test the suggested hypotheses, using data collected from 165 companies in the Saudi food industry (representing a response rate of 74.9 percent). Findings According to the study’s findings, SCMP are positively affected by KMCs. Moreover, OP is directly affected by KMCs and SCMP. Research limitations/implications Due to the specific nature of the sample, the findings of the current research are applicable only to the food industry. Originality/value The current research introduced a conceptual model, which has been tested and verified in the Saudi food industry. The findings recommend that both KMCs as well as SCMP will contribute to improving the OP. In addition, KMCs will improve the SCMP.

Healthcare supply chain management: literature review and some issues

2018 ◽  
Vol 15 (3) ◽  
pp. 265-287 ◽  
Author(s):  
Bhavana Mathur ◽  
Sumit Gupta ◽  
Makhan Lal Meena ◽  
G.S. Dangayach
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Literature Review ◽  
Organizational Performance ◽  
Critical Role ◽  
Sample Survey ◽  
Future Research ◽  
Chain Management ◽  
Content Type ◽  
Potential Benefits

PurposeThe purpose of this paper is to examine the causal linkages among supply chain practices, effectiveness of supply chain performance (SCP) and organizational performance (OP) in Indian healthcare industries.Design/methodology/approachThis paper is helpful in developing a framework for linking a healthcare supply chain practice to its OP, and thus identifies how such a linkage can be connected to the effectiveness of SCP. Such effort also enables the authors to derive a set of recommended supply chain practices for SC performance.FindingsFrom the literature review, this paper finds that, in the context of Indian healthcare industries, efficient SC performance may play a critical role for overall OP improvement, as there is a close interrelationship between supply chain management (SCM) practices and SCP that may have a more significant effect on OP improvement.Research limitations/implicationsThe principle limitation of the paper is that it is performed only in a particular industry and with a questionnaire survey which could be extended in future for other industries also. Another limitation of the paper is that it is focused only on the SCP of medical device and equipment supply chain which is a small portion of the whole healthcare supply chain, and therefore requires further research covering various other domains of healthcare supply chain. Another limitation of the study is that the sample survey has been taken from only one respondent per company at one point of time which may create biasness in the results. Thus, future research should collect data through multiple members from the organization.Practical implicationsThis study contributes to know the effect of SCM practices on healthcare SCP and provides a practical and useful tool to evaluate the extent of effectiveness of SCP and finally their impact on the healthcare OP. Finally, this study provides conceptual and descriptive literature regarding SCM practices that leads to improvement in healthcare performance.Social implicationsThis study adds to the knowledge on healthcare SCM performance by exploring the relationship between supply chain practices, healthcare SCP and healthcare OP and by developing and testing a research framework thus help in improving patient satisfaction.Originality/valueThis study attempts to show how the potential benefits of supply chain practices can no longer be ignored in healthcare supply chain.

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