Synergistic effect of cooperation and coordination to enhance the firm's supply chain adaptability and performance

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Javad Feizabadi ◽  
Somayeh Alibakhshi
Keyword(s):  
Supply Chain ◽  
Interaction Effect ◽  
Structural Equation ◽  
Theory And Practice ◽  
Decision Makers ◽  
Supply Chain Integration ◽  
Primary Data ◽  
Equation Modeling ◽  
Content Type ◽  
Complementary Effect

PurposeTo address how organizations should be malleable, the purpose herein is to draw on complementarity theory to examine the interaction effect of customer integration (i.e. coordination) and shared relationship governance (i.e. cooperation) on supply chain adaptability and firm's performance.Design/methodology/approachA survey research design is adopted to collect primary data from 177 automotive components suppliers. After assessing the measures' psychometric properties, the hypothesized relationships are evaluated using hierarchical regression analysis supplemented by structural equation modeling and complementarity test.FindingsIn the context of industrial markets, and specifically the automotive component industry, a complementary interaction effect is found between coordination and cooperation. The complementary impact was significant in affecting the supply chain adaptability and the firm's performance. Our results refine the existing supply chain integration by highlighting the complementary effect of coordination and cooperation.Practical implicationsUnderstanding the true interaction effect between cooperation and coordination to develop supply chain integration avoids decision-makers' misperception over or underinvesting in activities. This research also provides key insights on the complementary effect of coordination and cooperation to establish structural flexibility in the supply chain and the ability to respond to the disruptions, such as the COVID-19 pandemic.Originality/valueUnderstanding the true interaction effect between cooperation and coordination to develop supply chain integration avoids decision-makers' misperception over or underinvesting in activities. The implications for theory and practice are also presented.

Firm performance implications of supply chain integration, agility and innovation in agri-businesses: evidence from an emergent economy

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
George Augustus Benjamin Aggrey ◽  
Lawrence Yaw Kusi ◽  
Ebenezer Afum ◽  
Victoria Yaa Osei-Ahenkan ◽  
Christine Norman ◽  
...  
Keyword(s):  
Supply Chain ◽  
Structural Equation ◽  
Supply Chain Integration ◽  
Primary Data ◽  
Equation Modeling ◽  
Operating Cycle ◽  
Content Type ◽  
Mediating Role ◽  
Supply Chain Agility ◽  
Predictive Relationship

PurposeThis study empirically examines the effect of supply chain integration (SCI) on financial performance (FP) and controls for the mediating effects of supply chain agility (SCA), supply chain (SC) innovation and operational performance (OP).Design/methodology/approachThrough a causal research design, structured questionnaires were used for primary data collection from 217 commercial poultry farms (CPFs) operating in the Bono Region of Ghana. Structural equation modeling was reflectively configured to test the formulated hypotheses.FindingsSCI causes a statistically significant moderate positive variance in OP in terms of cost-effectiveness, order fulfillment rate, operating cycle, inventory turns, business process innovation. SCI is an insignificant weak positive predictor of FP (growth in revenue, profit, return on investment, sales growth) of CPFs operating in Ghana. Furthermore, OP significantly and positively mediates the predictive relationship between SCI and FP. Again, SC innovation significantly mediates the predictive relationship between SCI and OP. However, SCA fails to significantly mediate the predictive relationship between SCI and OP.Research limitations/implicationsFocal firms' characteristics were ignored, although they may determine how SCI affects OP and FP in the presence of SCA and SC innovation.Originality/valueEmpirically, SCI has no direct impact on FP of CPFs but does so indirectly through the mediating role of OP.

Supply chain integration and its impact on sustainability

2018 ◽  
Vol 118 (9) ◽  
pp. 1749-1765 ◽  
Author(s):  
Mingu Kang ◽  
Ma Ga (Mark) Yang ◽  
Youngwon Park ◽  
Baofeng Huo
Keyword(s):  
Supply Chain ◽  
Structural Equation ◽  
Management Practices ◽  
Social Performance ◽  
Supply Chain Integration ◽  
Equation Modeling ◽  
Content Type ◽  
New Perspective ◽  
And Performance ◽  
And Function

Purpose The purpose of this paper is to examine the role of supply chain integration (SCI) in improving sustainability management practices (SMPs) and performance. Design/methodology/approach Based on data collected from 931 manufacturing firms in multiple countries and regions, the authors conducted a structural equation modeling analysis to test the proposed hypotheses. Findings The findings suggest that supplier and customer integration are vital enablers for both intra- and inter-organizational SMPs. The results also reveal that both intra- and inter-organizational SMPs are significantly and positively associated with sustainability performance (i.e. economic, environmental and social performance) and function as complements to jointly enhance environmental and social performance. Originality/value This study incorporates SCI into the sustainability literature, providing a new perspective on sustainability and supply chain management research.

scholarly journals Environmental scanning, supply chain integration, responsiveness, and operational performance

2019 ◽  
Vol 39 (5) ◽  
pp. 787-814 ◽  
Author(s):  
Wantao Yu ◽  
Roberto Chavez ◽  
Mark Jacobs ◽  
Chee Yew Wong ◽  
Chunlin Yuan
Keyword(s):  
Supply Chain ◽  
Structural Equation ◽  
Business Environment ◽  
Supply Chain Integration ◽  
Operational Performance ◽  
Equation Modeling ◽  
Environmental Scanning ◽  
Content Type ◽  
Processing Theory ◽  
The Relationship

Purpose It remains unclear how environmental scanning (ES) can generate firm performance through supply chain management (SCM) practices. The purpose of this paper is to investigate the effects of ES on operational performance through supply chain integration (SCI) and supply chain responsiveness (SCR). Design/methodology/approach The scanning–interpretation–action–performance (SIAP) model and organization information processing theory (OIPT) are used to explain the ES–SCI–SCR–performance (S–I–A–P) relationships, which were tested by structural equation modeling of survey data of 329 manufacturing firms in China. Findings The results indicate that ES has a significant positive effect on SCI and SCR. SCI is significantly and positively related to SCR. SCR partially mediates the relationship between ES and operational performance, and fully mediates the relationship between SCI and operational performance. Practical implications Supply chain managers should collaborate with senior executives to obtain signals from ES activities, as input for building SCI and SCR and use SCI as a joint interpretation mechanism of ES signals for developing SCR to reap operational advantages in the rapidly changing business environment. Originality/value Strategic management academics and practitioners have explicitly emphasized the importance of ES in developing strategic plans but are unsure about the role of SCM in creating operational advantages through ES. Using the SIAP model, this study theorizes and demonstrates how SCI and SCR transform signals from ES into operational performance. In doing so, a more precise application of OIPT is explicated in the supply chain context.

The impacts of intra-organizational structural elements on supply chain integration

2019 ◽  
Vol 119 (5) ◽  
pp. 1031-1045
Author(s):  
Yanming Zhang ◽  
Xiande Zhao ◽  
Baofeng Huo
Keyword(s):  
Supply Chain ◽  
Structural Equation ◽  
Supply Chain Integration ◽  
Three Dimensions ◽  
Equation Modeling ◽  
Structural Elements ◽  
Content Type ◽  
Positive Effects ◽  
Supplier Integration ◽  
Human Goodness

PurposeFollowing resource-based view, the purpose of this paper is to investigate the effects of three intra-organizational structural elements on supply chain integration (SCI).Design/methodology/approachBased on data collected from ten countries, this study employs the structural equation modeling method to test the proposed model.FindingsThe results demonstrate that teamwork culture is positively related to three dimensions of SCI. Organizational commitment has positive effects on internal and customer integration (CI), whereas it has no significant effect on supplier integration (SI). Human goodness is only positively related to internal integration, but has no significant effect on SI or CI.Originality/valueThis study contributes to both structural elements literature and SCI enabler literature by operationalizing three human-related components of structural elements and empirically investigating relationships between intra-organizational structural elements and SCI.

The nexus between supply chain analytic, innovation and robustness capability

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Mohamed Dawood Shamout
Keyword(s):  
Supply Chain ◽  
United Arab Emirates ◽  
Structural Equation ◽  
Group Analysis ◽  
Sampling Technique ◽  
Theory And Practice ◽  
Equation Modeling ◽  
Firm Age ◽  
Content Type

Purpose By drawing on knowledge-based view, this paper aims to test causal model linking supply chain analytics, innovation, robustness capability and firm age. More specifically, the mediating role of supply chain innovation on supply chain analytics and robustness capability link and the moderating role of firm age. Design/methodology/approach Survey data were procured from companies operating in the United Arab Emirates using a simple random sampling technique. The obtained data were analyzed with variance-based structural equation modeling (PLS-SEM). Findings The findings from PLS-SEM revealed that supply chain innovation fully mediate supply chain analytics and robustness capability associations. Findings from multi-group analysis (MGA) denote that firm age did not moderate any of the paths of the research model. Suggesting that the associations are similar for old, mid-aged and younger firms. Originality/value This work demonstrates that supply chain analytic is valuable tool that can foster innovation and robustness in supply chain. This work is among the first to scrutinize the variation among old, mid-aged and younger firms in supply chain analytics research stream. The paper concludes with implications for theory and practice.

Exploring the role of intellectual capital in supply chain intelligence integration

2018 ◽  
Vol 118 (5) ◽  
pp. 1018-1032 ◽  
Author(s):  
Yongyi Shou ◽  
Wenjin Hu ◽  
Yongmei Xu
Keyword(s):  
Supply Chain ◽  
Intellectual Capital ◽  
Structural Equation ◽  
Design Methodology ◽  
Primary Data ◽  
Equation Modeling ◽  
Relational Capital ◽  
Content Type ◽  
Structural Capital

Purpose The purpose of this paper is to explore the role of intellectual capital (IC) in supply chain intelligence integration (SCII) and the interrelationships of the three components of IC (i.e. human capital (HC), structural capital (SC) and relational capital (RC)) in the supply chain context. Design/methodology/approach This paper conducted an empirical study by using primary data from 389 sample firms. The authors applied structural equation modeling to test the proposed hypotheses. Findings The results indicate that both HC and RC have direct impact on SCII, whereas SC only influences SCII through RC. Originality/value This study evidences that IC is an enabler of SCII. Furthermore, this study reveals the interrelationships of human, structural and RC.

Enhancing supply chain resilience: an empirical investigation

2019 ◽  
Vol 1 (1) ◽  
pp. 47-62 ◽  
Author(s):  
Bardia Naghshineh ◽  
Maryam Lotfi
Keyword(s):  
Supply Chain ◽  
Structural Equation ◽  
Stock Exchange ◽  
Decision Makers ◽  
Equation Modeling ◽  
Survey Method ◽  
Future Research ◽  
Research Model ◽  
Content Type ◽  
Supply Chain Resilience

PurposeSupply chain resilience (SCR) has recently become an important issue for organizations all around the world. In order to decrease the risk of failures, managers and decision makers are constantly looking for practices to enhance SCR. The purpose of this paper is to propose a research model that mainly focuses on the effect of information sharing (IS) to enhance SCR.Design/methodology/approachSurvey method is used in this research. Data were collected from the supply chain, procurement, executive and IT managers of 82 of Tehran’s stock exchange production companies. Structural equation modeling with SmartPLS3 software is used to analyze the collected data.FindingsResearch results show that IS significantly enhances SCR.Research limitations/implicationsData were collected at one point in time, and therefore a longitudinal study can further investigate the results of this study. The research was carried out in production companies in Iran. Future research can examine the research model in other industry sectors, e.g. services, in other countries to validate the accuracy of the findings.Practical implicationsThe findings of this research should help managers, and decision makers create more resilient supply chains for their own and partners’ organizations.Originality/valueThe research model provides insightful results regarding the significance of IS in the SCR context.

Impact of a country’s logistical capabilities on supply chain risk

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
R. Sreedevi ◽  
Haritha Saranga ◽  
Sirish Kumar Gouda
Keyword(s):  
Decision Making ◽  
Risk Management ◽  
Supply Chain ◽  
Risk Perception ◽  
Risk Perceptions ◽  
Structural Equation ◽  
Primary Data ◽  
Equation Modeling ◽  
Supply Chain Risk ◽  
Content Type

Purpose This paper aims to examine the relationship between environmental factors, risk perception and decision-making in risk management. Specifically, using attribution theory, the authors study the influence of macro-level logistical capabilities of a host country on a firm’s actual and perceived supply chain risk, and examine if this country-level factor and the firm level perception of risk affect a firm’s decision-making in risk management. Design/methodology/approach This study uses a combination of primary data from 932 manufacturing firms from 22 countries and secondary data from the logistics performance index (LPI), and empirically tests the conceptual framework using partial least squares structural equation modeling. Findings Key results reveal that a country’s logistical capabilities, measured using LPI, have a significant impact on managers’ risk perception. Firms located in countries with high LPI perceive lower risk in their supply chain both in the upstream and downstream, and therefore do not invest much in external integration, compared to firms in low LPI countries, and hence are exposed to high risk. Originality/value This is one of the first empirical studies linking a country’s logistical capabilities with supply chain risk perceptions, objective supply chain risk and supply chain risk management efforts of a firm using the International Manufacturing Strategy Survey database.

scholarly journals Learning orientation and innovation performance: the mediating role of operations strategy and supply chain integration

2020 ◽  
Vol 25 (4) ◽  
pp. 457-474 ◽  
Author(s):  
Vikas Kumar ◽  
Younis Jabarzadeh ◽  
Paria Jeihouni ◽  
Jose Arturo Garza-Reyes
Keyword(s):  
Supply Chain ◽  
Structural Equation ◽  
Manufacturing Firms ◽  
Innovation Performance ◽  
Supply Chain Integration ◽  
Equation Modeling ◽  
Learning Orientation ◽  
Operations Strategy ◽  
Content Type ◽  
Strategy Types

Purpose The purpose of this study is to explore the effect of operations strategy (cost, quality, flexibility and delivery) and supply chain integration on innovation performance under influence of learning orientation. Design/methodology/approach Taking a quantitative and deductive approach, a conceptual framework was developed and tested by analyzing data gathered through survey questionnaire from 243 UK manufacturing firms using structural equation modeling. Findings The findings show that learning orientation influences operations strategy and supply chain integration, but it does not have a direct impact on innovation performance. Additionally, quality and flexibility strategies affect innovation performance and supply chain integration positively, while cost and delivery strategies do not have a significant effect on these variables. Research limitations/implications Operations strategy types (cost, quality, flexibility and delivery) were studied as distinct variables, whereas supply chain integration also has several dimensions but that has not been investigated separately in the present research. The findings are also based on limited 243 responses from UK manufacturing firms. Practical implications Innovation performance of manufacturing firms can be improved through a more integrated supply chain if managers embody flexibility and quality capabilities in their operations and become learning oriented. Originality/value The effect of supply chain integration on innovation performance and learning orientation on supply chain integration and operations strategy types have not been fully explored in literature. Also, having all four operations strategy types in a direct relation to supply chain integration and innovation performance is another original aspect of the current study.

Data-driven capabilities, supply chain integration and competitive performance

2019 ◽  
Vol 121 (11) ◽  
pp. 2708-2729 ◽  
Author(s):  
Muhammad Irfan ◽  
Mingzheng Wang
Keyword(s):  
Big Data ◽  
Supply Chain ◽  
Developing Country ◽  
Structural Equation ◽  
Supply Chain Integration ◽  
Data Driven ◽  
Equation Modeling ◽  
Competitive Performance ◽  
Shared Resources ◽  
Content Type

Purpose The purpose of this paper is to analyze the effects of data-driven capabilities on supply chain integration (SCI) and competitive performance of firms in the food and beverages (F & B) industry in Pakistan. Design/methodology/approach The authors adopt the structural equation modeling approach to test the proposed hypotheses using AMOS 23. Survey data were collected from 240 firms in the F & B industry in Pakistan. Findings The results revealed that SCI (i.e. internal integration (II) and external integration (EI)) significantly mediates the effect of data-driven capabilities (i.e. flexible information technology resources and data assimilation) on a firm’s competitive performance. In addition to the direct effects, II also has an indirect effect on competitive performance through EI. Practical implications The study has several implications for managers in the context of big data application in food supply chain management (FSCM) in a developing country context. The study posits that firms can achieve excellence in performance by governing data-driven supply chain operations. The study also has implications for distributors and importers in the F & B industry. The cloud-based sharing of data can improve the operational performance of channel members while reducing their overall cost of operations. In practice, food franchises largely get the advantage of shared resources of their suppliers in managing orders, payments, inventory and after-sales services. Originality/value The study is novel and deepens the understanding about the use of big data in FSCM keeping in view the industry trends and stakeholder’s priorities in a developing country context.

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