Understanding dynamic distribution capabilities to enhance supply chain performance: a dynamic capability view

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Syeda Wajiha Kazmi ◽  
Waqar Ahmed
Keyword(s):  
Supply Chain ◽  
Planning Process ◽  
Management Practice ◽  
Demand Management ◽  
Reliability And Validity ◽  
Manufacturing Industries ◽  
Supply Chain Performance ◽  
Confirmatory Factor Analyses ◽  
Content Type ◽  
Dynamic Distribution

PurposeThe purpose of this paper is to evaluate and understand the factors that contribute to the enhancement in the process of supply chain activities, specifically among manufacturing industries.Design/methodology/approachThis paper follows the quantitative approach by disseminating a structured questionnaire to supply chain practitioners working in manufacturing industries. A sample of 109 responses is gathered from senior employees involved in sales and operations planning. Exploratory and confirmatory factor analyses are performed to evaluate the reliability and validity of the model. Lastly, SmartPLS is used to test the hypotheses proposed in the study.FindingsThe findings revealed that demand sensing and managing practices positively impact supply chain performance by creating dynamic distribution capabilities. It is observed that distribution capabilities integrate both efficient and effective handling of resources. However, demand management practice has insignificant relationship with supply chain performance.Research limitations/implicationsThe authors suggest that supply chain management must expand in firms, and importance must be given as supply chain performance can provide competitive advantage in order to sustain in today's competitive market.Practical implicationsThe findings can help decision-makers working in the planning process by identifying the right tools to sense the market and react accordingly.Originality/valueThis paper is an initial effort to understand the dynamic distribution capabilities by establishing the link with the studied variables, especially in the manufacturing industries in Pakistan.

The role of demand management in achieving supply chain agility

2014 ◽  
Vol 19 (5/6) ◽  
pp. 577-591 ◽  
Author(s):  
David M. Gligor
Keyword(s):  
Supply Chain ◽  
Conceptual Framework ◽  
Flexible Manufacturing ◽  
Demand Management ◽  
Comprehensive Review ◽  
Content Type ◽  
Turbulent Environments ◽  
Supply Chain Agility ◽  
Managerial Implications

Purpose – The purpose of this paper is to explore the role of demand management in achieving supply chain agility (SCA) through a multi-disciplinary review of the relevant research. The systematic literature review provides the basis for formulating a conceptual framework of the relationship. Design/methodology/approach – A systematic, comprehensive review of the literature on manufacturing, marketing organizational and SCA from 1991 through 2013 was conducted. The literature on demand management is also examined to identify the various elements that contribute to SCA. Findings – Most agility frameworks take a supply-side perspective and assume that demand is known. Those that do acknowledge the role of demand fall short of offering a holistic framework that acknowledges the role of both. This paper suggests that it is simply not enough to have flexible manufacturing, distribution and procurement systems to achieve SCA. Flexibility in managing demand is also needed. Furthermore, it is the premise of this paper that demand and supply integration (DSI) inside the firm is critical to achieving SCA. Research limitations/implications – This research is a systematic, integrative review of the existing literature on the concept of agility. As such, the next phase of research needed for theory building will be the operationalization of constructs and testing of the hypothesized relationships proposed by the conceptual framework. Practical implications – The paper has several managerial implications as well. It illustrates how firms can create and sustain competitive advantages in turbulent environments. Managers can use the framework developed here to assess what structures and decision-making processes they can use to increase the firm’s SCA. Practitioners can use this model as a checklist to identify candidate areas for improving agility. The section illustrating the use of knowledge management to increase DSI should be of particular interest to managers, considering that a great deal of firms experience a disconnect between demand creation and supply fulfillment. Originality/value – Through a systematic, comprehensive review of multi-disciplinary literature, the paper explores the role of demand management in achieving SCA.

Minimizing supply chain disruption risk through enhanced flexibility

2009 ◽  
Vol 39 (5) ◽  
pp. 404-427 ◽  
Author(s):  
Joseph B. Skipper ◽  
Joe B. Hanna
Keyword(s):  
Supply Chain ◽  
Multiple Regression ◽  
Planning Process ◽  
Research Effort ◽  
Risk Exposure ◽  
Contingency Planning ◽  
Management Support ◽  
Supply Chain Disruption ◽  
Content Type ◽  
Disruption Risk

PurposeThe purpose of this paper is to examine the use of a strategic approach (contingency planning) to minimize risk exposure to a supply chain disruption. Specifically, the relationship between several attributes of a contingency planning process and flexibility are examined.Design/methodology/approachThis effort develops a model that will provide both researchers and practitioners a means of determining the attributes with the highest relationship to flexibility. The model is then tested using multiple regression techniques.FindingsBased on the sample used in this survey, top management support, resource alignment, information technology usage, and external collaboration provide the largest contributions to flexibility. Flexibility has been shown to enhance the ability to minimize risk exposure in the event of a supply chain disruption.Research limitations/implicationsIn this research effort, the multiple regression results produced an R2 of 0.45, indicating that additional variables of interest may need to be identified and investigated. Furthermore, a wider range of respondents could make the results more generalizable.Practical implicationsThis effort will help to allow managers at multiple levels to understand the primary planning attributes to use to increase flexibility.Originality/valueThe paper develops a model that can be used to identify the specific areas that can lead to improved flexibility. Based on the model, managers, and planners can develop appropriate strategies for minimizing risk exposure in the event of a supply chain disruption.

A study on the impact of digital tobacco logistics on tobacco supply chain performance: taking the tobacco industry in Guangxi as an example

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Xiaoping Shen ◽  
Yeheng Zhang ◽  
Yumei Tang ◽  
Yuanfu Qin ◽  
Nan Liu ◽  
...  
Keyword(s):  
Supply Chain ◽  
Tobacco Industry ◽  
Indicator System ◽  
Supply Chain Performance ◽  
Dynamics Model ◽  
Content Type ◽  
Chain Operation ◽  
Theoretical Support ◽  
Supply Chain Operation ◽  
The Impact

PurposeThis paper, with the tobacco industry as the background, establishes an indicator system for tobacco supply chain performance evaluation using the FAHP method.Design/methodology/approachBased on the relevant data of tobacco enterprises in Guangxi, the paper calculates the performance values of tobacco companies in various cities of Guangxi, and through the analysis of each indicator and the performance values of each city, the authors find that the improvement ability has a major impact on tobacco supply chain performance. Then, the paper establishes a system dynamics model to further demonstrate the impact of information digitalization on the performance of the tobacco supply chain in Guangxi, thus providing theoretical support for building digital tobacco logistics in Guangxi.FindingsThe findings of the study show that the performance of the tobacco supply chains in various cities of Guangxi is generally at the level of “Pass–Good,” which can barely meet the requirements of tobacco supply chain operation, but there is still plenty of room for improvement.Originality/valueThe authors show that digital and IT-based empowerment can maximize the performance of Guangxi's tobacco logistics performance.

The mediating effect of supply chain flexibility on the relationship between supply chain integration and supply chain performance

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Anurodhsingh Khanuja ◽  
Rajesh Kumar Jain
Keyword(s):  
Supply Chain ◽  
Survey Methodology ◽  
Mediating Effect ◽  
Supply Chain Integration ◽  
Supply Chain Performance ◽  
Business Practices ◽  
Chain Flexibility ◽  
Content Type ◽  
Supplier Integration ◽  
The Relationship

PurposeSupply chain integration (SCI) and flexibility (SCF) are recognised as crucial business practices and capability in the global competitive market. However, limited research has paid attention to study the relationship between SCI, SCF and their impact on supply chain performance (SCP). Therefore, the purpose of this paper is to establish a relationship between integration, flexibility and performance.Design/methodology/approachThe structural equation modelling technique was used to analyse the 187 data collected from Indian organisations through the survey methodology.FindingsFindings indicate that external integration contributes significantly to realise SCF and SCP. Sourcing and logistics flexibility also help to improve the SCP. The mediation analysis showed that the association of customer and supplier integration with SCP is partially and fully mediated by logistics flexibility, respectively. This study suggests that integration influences the SCP when the firm has a strong association with downstream partners and enough capability for logistics flexibility.Research limitations/implicationsThe study has collected cross-sectional data to analyse the relationship between SCI, SCF and SCP. However, as integration requires an effort of the years, longitudinal data and industry-specific studies may provide comprehensive views to validate the results of this study.Originality/valueBuilding on relational view theory and dynamic capability theory, the study has proposed the SCP assessment framework based on the relationship between SCI and SCF.

Can customer perceived service quality fluctuations predict the performance of retail service supply chain?

Kybernetes ◽  
2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Jianfei Li ◽  
Bei Li ◽  
Kun Tang ◽  
Mengxia Sun
Keyword(s):  
Supply Chain ◽  
Service Quality ◽  
Dissipative Structure ◽  
Hidden Markov ◽  
Markov Property ◽  
Supply Chain Performance ◽  
Entropy Flow ◽  
Content Type ◽  
Perceived Service Quality ◽  
Dissipation Structure

Purpose Based on the analysis of the dissipative structure of the retail service supply chain (RSSC), this paper divides the system into two internal and external dissipative mechanisms, including the internal performance dissipation mechanism and the perceived quality dissipation mechanism outside the system. Based on the prediction of RSSC performance, this paper aims to discuss the application of Hidden Markov Model (HMM) in this field and puts forward a set of complete process of forecasting the service supply chain (SSC) performance based on HMM model. Design/methodology/approach Based on the theory of dissipative structure, this paper selects the RSSC as the research object, analyzes the system characteristics of the dissipation structure of RSSC from three aspects, such as system opening type, distance from equilibrium state and nonlinear order and describes the quality fluctuation process of RSSC as a Hidden Markov process. Taking the RSSC of J Company as an example, this paper makes use of the observed state value of customer perceived service quality from 1997 to 2016, predicts the performance status of the enterprise's RSSC. Findings The research results show that: RSSC is a dissipative structure system, and its performance is the internal entropy flow of the system, and the customer perceived service quality is external, their interaction determines the dynamic evolution of the system dissipation structure, and the Markov property between supply chain performance and perceived service quality. There is a Markov property between supply chain performance and perceived service quality. Using the perceived service quality observation state data of the external consumers of the system can effectively predict the implicit state of RSSC performance. Based on this prediction result, the strategy adjustment and optimization of the action mechanism of internal and external entropy flow in the dissipative structure system can be carried out to promote the sustainable development of the RSSC. Originality/value This paper thinks that RSSC is a dissipative structure system and the SSC performance and customer perceived service quality are the internal and external entropy flow of the system, which determines the dynamic evolution of the system dissipation structure. There is a Markov property between supply chain performance and perceived service quality. The hidden state of SSC performance can be predicted effectively by using a hidden Markov model and observing state data of perceived service quality from consumers outside the system.

Applying Industry 4.0 technologies in the COVID–19 sustainable chains

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Carina Acioli ◽  
Annibal Scavarda ◽  
Augusto Reis
Keyword(s):  
Supply Chain ◽  
Supply Chains ◽  
Industry 4.0 ◽  
Supply Chain Performance ◽  
Chain Process ◽  
Sustainable Supply Chain ◽  
Content Type ◽  
Sustainable Performance ◽  
The Social ◽  
New Research

PurposeThe purpose of this paper is 1) to investigate the effects on the crucial Industry 4.0 technological innovations that interact between the real and virtual worlds and that are applied in the sustainable supply chain process; 2) to contribute to the identification of the opportunities, the challenges and the gaps that will support the new research study developments and 3) to analyze the impact of the Industry 4.0 technologies as facilitators of the sustainable supply chain performance in the midst of the Coronavirus (COVID-19).Design/methodology/approachThis research is performed through a bibliographic review in the electronic databases of the Emerald Insight, the Scopus and the Web of Science, considering the main scientific publications on the subject.FindingsThe bibliographic search results in 526 articles, followed by two sequential filters for deleting the duplicate articles (resulting in 487 articles) and for selecting the most relevant articles (resulting in 150 articles).Practical implicationsThis article identifies the opportunities and the challenges focused on the emerging Industry 4.0 theme. The opportunities can contribute to the sustainable performance of the supply chains and their territories. The Industry 4.0 can also generate challenges like the social inequalities related to the position of the man in the labor market by replacing the human workforce with the machines. Therefore, the man-machine relationship in the Industry 4.0 era is analyzed as a gap in the literature. Therefore, as a way to fill this gap, the authors of this article suggest the exploration of the research focused on the Society 5.0. Also known as “super-smart society,” this recent theme appeared in Japan in April 2016. According to Fukuda (2020), in addition to the focus on the technological development, the Society 5.0 also aims at the quality of life and the social challenge resolutions.Originality/valueThis article contributes to the analysis of the Industry 4.0 technologies as facilitators in the sustainable supply chain performance. It addresses the impacts of the Industry 4.0 technologies applied to the supply chains in the midst of the COVID-19 pandemic, and it analyzes the research gaps and limitations found in the literature. The result of this study can add value and stimulate new research studies related to the application of the Industry 4.0 technologies as facilitators in the supply chain sustainable performance. It can encourage the studies related to the COVID-19 impacts on the sustainable supply chains, and it can promote the research development on the relationship among the man, the machine and the labor in the Fourth Industrial Revolution.

Factors influencing the smart supply chain innovation performance of commodity distribution enterprises: an investigation from China

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Weihua Liu ◽  
Jiahui Zhang ◽  
Siyu Wang
Keyword(s):  
Supply Chain ◽  
Reliability And Validity ◽  
Content Type ◽  
Team Members ◽  
Factors Affecting ◽  
Technology Application ◽  
Innovation Ability ◽  
New Ideas ◽  
Open Coding ◽  
Axial Coding

PurposeThis study explores the influencing factors affecting smart supply chain innovation (SSCI) performance of commodity distribution enterprises, and proposes the corresponding framework from the perspective of the application of technology to improve the SSCI performance and make up the research gap in this field.Design/methodology/approachA multi-case study method is adopted in this study. Four distribution commodity distribution enterprises A, B, C and D in China are chosen as case enterprises. The interviews with senior management team members are used to collect data. The combination of open coding and axial coding are used to process the data. By testing the reliability and validity, the theoretical framework is summarized.FindingsFirst, we find that the technology application cost inhibits SSCI and that the level of technology suitable for enterprise development will promote SSCI. Second, SSCI in structure, management and services can improve the performance and innovation ability of enterprises. Third, the quality of multi-channel integration and degree of customization around customer demand can significantly modify the above effects.Originality/valueCompared with previous studies, this study reveals for the first time the correlation between the SSCI performance and technology application, SSCI in structure, management and service, providing new ideas for relevant researches on SSCI, and providing new theoretical support for managers' decision-making related to SSCI.

Dynamic capabilities in the “new normal”: a study of organizational flexibility, integration and agility in the Peruvian coffee supply chain

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Edgar Ramos ◽  
Andrea S. Patrucco ◽  
Melissa Chavez
Keyword(s):  
Supply Chain ◽  
Supply Chains ◽  
Food Supply ◽  
Dynamic Capabilities ◽  
Partial Least Square ◽  
Least Square ◽  
Supply Chain Performance ◽  
Organizational Flexibility ◽  
Content Type ◽  
Food Supply Chains

Purpose Considering the unprecedented supply chain disruptions due to the COVID-19 pandemic, especially in the agri-food sector, the possession of dynamic capabilities (DCs) – particularly, the need for higher agility – seems to be the key to survival in highly uncertain environments. This study aims to use the dynamic capability view (DCV) theory to analyze how three key supply chain capabilities – organizational flexibility, integration and agility – should be combined to obtain the desired supply chain performance. Design/methodology/approach The authors designed a conceptual model in which the relationships between these three key capabilities and supply chain performance were hypothesized. The model was first tested through partial least square regression using survey data collected from 98 members of the Peruvian coffee supply chain. A fuzzy-set qualitative comparative analysis (fsQCA) was conducted to uncover how DCs could be combined in successful supply chain configurations. Findings The authors show that organizational flexibility is a driver of higher agility in agri-food supply chains, together with external and internal supply chain integration, that have a direct impact on agility, which positively affects supply chain performance. Higher levels of supply chain agility are necessary but insufficient to guarantee high performance, as sufficiency is reached when both integration (internal and/or external) and agility are present. Originality/value This study represents a pioneering attempt to apply the DCV theory to agri-food supply chains – characterized by many sources of uncertainty. All the DCs are included within the same model and the joint use of PLS regression and fsQCA provides evidence about the relationships between DCs and how they can empower agri-food supply to obtain the desired performance.

The impact of cloud-enabled process integration on supply chain performance and firm sustainability: the moderating role of top management

2018 ◽  
Vol 23 (6) ◽  
pp. 500-517 ◽  
Author(s):  
Himanshu Shee ◽  
Shah Jahan Miah ◽  
Leon Fairfield ◽  
Nyoman Pujawan
Keyword(s):  
Supply Chain ◽  
Information And Communication Technologies ◽  
Structural Equation ◽  
Moderating Effect ◽  
Top Management ◽  
Supply Chain Performance ◽  
Unique Contribution ◽  
Content Type ◽  
The Impact ◽  
The Relationship

PurposeTheorising from the intersection of supply chain and information systems (IS) literature, this study aims to investigate supply chain integration (SCI) as a multidimensional construct in the context of cloud-based technology and explores the effect of cloud-enabled SCI on supply chain performance, which will eventually improve firm sustainability from a resource-based view (RBV). In addition, the moderating effect of top management is explored.Design/methodology/approachUsing cross-sectional survey data collected from a sample of 105 Australian retail firms, this study used structural equation modelling to test the hypothesised relationship of cloud-enabled SCI with performance in a theoretical model.FindingsResults show that cloud-based technology has positive effect on SCI, and the cloud-enabled SCI is positively related to supply chain performance which eventually influenced firm sustainability. Further, top management intervention moderates the relationship between supplier and internal integration with supply chain performance. But it is found to have no moderating effect on the relationship between customer integration and supply chain performance.Practical implicationsRecognising the potential benefits of emerging cloud-based technologies reported in this study, retail managers need to understand that higher order SCI requires the support of cloud-based technology to improve supply chain performance and firm sustainability.Originality/valueThis research extends prior research of information and communication technologies-enabled SCI and its effect on supply chain performance which overly remains inconsistent. In addition, IS literature abounds with discussion on cloud computing technologyper se, and its adoption in supply chain is overly rhetoric. This study fills this gap by conceptualising the multiple dimensions of SCI enabled by cloud-based technology and the way it affects supply chain and firm sustainable performance. Investigating SCI in context of cloud-based technology is a unique contribution in this study. The moderating effect of top management in this decision also adds to the current body of literature.

Strategic action grids: a study on supply chain risk management in manufacturing industries in India

2018 ◽  
Vol 25 (8) ◽  
pp. 3045-3061 ◽  
Author(s):  
V. Viswanath Shenoi ◽  
T.N. Srikantha Dath ◽  
C. Rajendran ◽  
P. Shahabudeen
Keyword(s):  
Risk Management ◽  
Supply Chain ◽  
Mitigation Strategies ◽  
Manufacturing Industries ◽  
Supply Chain Risk Management ◽  
Supply Chain Risk ◽  
Strategic Action ◽  
Content Type ◽  
The Mean ◽  
Robust Supply Chain

Purpose The purpose of this paper is to provide strategic recommendations to supply chain managers of Indian manufacturing industries for a robust supply chain related to risk management by original equipment manufacturers (OEMs) and suppliers in manufacturing industries to ensure a robust supply chain risk management (SCRM). Design/methodology/approach Importance-performance analysis (IPA) is utilized to identify and provide strategic recommendations to manufacturing industries for improving their supply chain performance by attaching due importance to risk constructs and appropriately choosing mitigation strategies. Findings The investigation using the strategic action grids reveals that most of the means of risks are near the point of intersection of the grand means of the risk constructs and their impact on the supply chain, indicating that all the risks have the equal likelihood of occurrence. The mean importance of risk monitoring, risk avoidance (RA) and risk sharing surpass the mean performance for both OEMs and suppliers. Research limitations/implications The study is executed with following limitations: the study assumes that the manufacturing industries across different sectors perceive similar risk. The sectors considered are automotive, heavy engineering, general engineering and home appliances. The Southern States of India are considered because of the dominant presence of many industries, especially automotive industries. However, it should be noted that these States form the manufacturing hubs where the lead organizations are functioning along with their major suppliers. Practical implications By understanding the importance of SCRM dimensions and utilization of these dimensions, firms can mitigate the impact of risk on the supply chain. The detailed study of SCRM strategies highlights the importance attached to risk factors, mitigation strategies, and top management commitment. By the implementation of SCRM strategies, supply chain managers can improve the firm’s performance. Originality/value The study involves empirically validated data on SCRM dimensions. The IPA is performed on the SCRM dimensions to investigate the importance attached to the factors of the dimensions and their performance.

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