scholarly journals Performance perceptions among food supply chain members

2016 ◽  
Vol 118 (7) ◽  
pp. 1783-1799 ◽  
Author(s):  
Walter Odongo ◽  
Manoj Dora ◽  
Adrienn Molnár ◽  
Duncan Ongeng ◽  
Xavier Gellynck
Keyword(s):  
Supply Chain ◽  
Supply Chains ◽  
Business Performance ◽  
Empirical Support ◽  
Positive Influence ◽  
Structural Equations ◽  
Coercive Power ◽  
Exchange Relationship ◽  
Content Type ◽  
Triadic Context

Purpose – A good supply chain relationship quality (RQ) is a crucial precursor for any stable exchange relationship which ensures relationship continuity. Although empirical research suggests that strengthening RQ improves supply chain performance (SCP), most studies have focused on dyadic business relationships. To fully understand the relational behaviour of a firm embedded in a supply chain, we need to look beyond the dyad into triads. The purpose of this paper is to investigate how SCP is influenced by RQ in a triadic agribusiness supply chain. Design/methodology/approach – Evidence is drawn from a quantitative survey of 150 agribusiness firms in the maize supply chain in Uganda. Data were collected in triadic context from 50 direct supply chains each composing of a supplier, focal firm and customer. Multi-group structural equations modelling (SEM) was used to assess the differences in perception on the influence of RQ on SCP amongst the supply chain members. Findings – Results provides empirical support for the positive influence of RQ on SCP. SEM reveals differences in perception between the upstream and downstream and amongst the supply chains members. While focal firms considered conflict, coercive power, commitment and trust to be important; suppliers considered trust, dependency and non-coercive power; and customers considered trust, dependency and coercive power to be important RQ factors affecting SCP. Practical implications – For agribusiness managers to enhance business performance there is need to cultivate strong and mutual relationship with supply chain members. It is also important to know how to handle conflicts and use of power so as to realise the benefits of supply chain relationships. Originality/value – The paper is novel in that it assesses SCP in a triadic context in an agribusiness sector from a developing country context. The authors used novel approaches including analysis of a triad, and multiple groups SEM to assess perceptions of each supply chain member’s.

Trust, power and supply chain integration in Web-enabled supply chains

2019 ◽  
Vol 24 (4) ◽  
pp. 524-539 ◽  
Author(s):  
Carlo Mora-Monge ◽  
Gioconda Quesada ◽  
Marvin E. Gonzalez ◽  
Joshua M. Davis
Keyword(s):  
Supply Chain ◽  
Supply Chains ◽  
Business Performance ◽  
Dynamic Capabilities ◽  
Social Capital Theory ◽  
Supply Chain Integration ◽  
Trading Partner ◽  
Capital Theory ◽  
Content Type ◽  
The Social

Purpose This study aims to examine the effects of trading partner trust and trading partner power, on supply chain integration, and their impact on business performance in the context of Web-enabled supply chains. In doing so, the authors extend previous studies by exploring this phenomenon by using an integrative theory-driven approach. Design/methodology/approach This study presents a theoretical model grounded on the resource-based and dynamic capabilities views and the social capital theory. Data collected from 175 firms in the USA are used to test the hypotheses using structural equation modeling. Findings Results highlight the importance of trust and supply chain integration on business performance, whereas power did not appear to have an effect on supply chain integration in Web-enabled supply chains. The findings are robust to concerns of endogeneity, common method bias and alternative model specification. Practical implications Companies engaged in Web-enabled supply chains need to focus on increasing their integration efforts, and these efforts must also be accompanied by partnerships built on trust. Trading partners who might be inclined to use coercive strategies to influence other members of the supply chain in Web-enabled environments may be better off using cooperative approaches based on trust to achieve their desired goals. Originality/value This study integrates the resource-based view, dynamic capabilities view and the social capital theory to explore the dynamic relationships between trading partner trust, trading partner power and supply chain integration in Web-enabled supply chains. In doing so, this paper extends prior studies by examining supply chain integration’s impact on business performance and its mediating role, as it relates to trading partner trust and power in Web-enabled supply chains.

Digitalizing supply chains potential benefits and impact on lean operations

2020 ◽  
Vol 11 (4) ◽  
pp. 731-765 ◽  
Author(s):  
Abubaker Haddud ◽  
Anshuman Khare
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Supply Chains ◽  
Business Performance ◽  
Online Survey ◽  
Supply Chain Performance ◽  
Chain Management ◽  
Content Type ◽  
Lean Operations ◽  
The Impact

Purpose New technological trends continue to emerge, and businesses adopt them in different capacity in a pursuit of improving current ways of doing things and to gain competitive advantages over rivals. One of the key business functions that is impacted by the implementation of different disruptive technologies is the supply chain management. As a result, there is a continuous need to identify where digitalizing supply chains may provide businesses with benefits to capitalize such gains. This study aims to examine potential impacts of digitalizing supply chains on five selected lean operations practices through the identification of key areas and benefits under each of these practices. Design/methodology/approach Data were collected from 74 participants mainly from the academic community and who were university scholars through the use of an online survey. The used online survey consists of six main parts in total, but three were included in this paper and these were designed to gather data about participants’ general information, level of influence of seven technological trends on supply chain performance and management and potential impact of digitalizing supply chains on five lean operations practices. Findings The authors were able to confirm the significant impact of digitalizing supply chains on the five examined lean operations practices. Most of the examined potential impacts were found to improve certain areas that directly improve the practices of the explored five lean operations practices as well as the overall supply chain and business performance. They were also able to determine the level of influence of the seven examined enabling technologies on supply chain performance and management. Originality/value To the best of the authors’ knowledge, this study is the first of its kind. Although some literature explored different aspects related to the concept of Industry 4.0 and digitalizing supply chains, no study has specifically explored potential impacts of digitalizing supply chains on lean operations. The results from this study can be beneficial to academic scholars interested in the researched themes, business professionals specializing in supply chain management and lean operations, organizations within different industrial sectors particularly manufacturing where lean thinking is adopted and any other party interested in understanding more about the impact of digitalizing supply chain on lean operations and on an overall business performance.

scholarly journals Role of power in supply chain performance: evidence from agribusiness SMEs in Uganda

2017 ◽  
Vol 7 (3) ◽  
pp. 339-354 ◽  
Author(s):  
Walter Odongo ◽  
Manoj Kumar Dora ◽  
Adrienn Molnar ◽  
Duncan Ongeng ◽  
Xavier Gellynck
Keyword(s):  
Supply Chain ◽  
Group Analysis ◽  
Structural Equations ◽  
Supply Chain Performance ◽  
Commodity Chain ◽  
Content Type ◽  
Focal Firm ◽  
Data Collection And Analysis ◽  
Triadic Context

Purpose The purpose of this paper is to examine the role of power on supply chain performance (SCP) in the context of small and medium sized agribusiness enterprises (SMEs). Contrary to most of previous studies, which collect and analyze data from one side of a relationship dyad using a focal firm approach, a matched triad approach was employed in data collection and analysis. Design/methodology/approach Empirical data was collected from 150 agribusiness supply chain members from the maize supply chain in Uganda. Analysis was done using multi-group analysis and structural equations modeling. Findings Results highlight the differences in the perception of power use and how it influences SCP. The differences in perception suggest the existence of power asymmetry amongst supply chain members. This work contributes to the ongoing debate concerning the use of triad as a unit of analysis as opposed to a firm or a dyad. Research limitations/implications This study only focused on one commodity chain in one country, which can limit the broad application of the findings. Originality/value The novelty of this work lies in fact that the authors assess perception of power amongst supply chain members in a triadic context, a perspective that has not been adequately tested in agribusiness supply chain management studies before.

scholarly journals An empirical analysis of supply and manufacturing risk and business performance: a Chinese manufacturing supply chain perspective

2018 ◽  
Vol 23 (6) ◽  
pp. 461-479 ◽  
Author(s):  
Vikas Kumar ◽  
Ozlem Bak ◽  
Ruizhi Guo ◽  
Sarah Louise Shaw ◽  
Claudia Colicchia ◽  
...  
Keyword(s):  
Risk Management ◽  
Supply Chain ◽  
Supply Chains ◽  
Business Performance ◽  
Business Environment ◽  
Structured Interviews ◽  
Supply Risk ◽  
Management Performance ◽  
Content Type ◽  
Manufacturing Supply Chain

Purpose This study aims to explore the importance and impact of supply and manufacturing risk management upon business performance within the context of Chinese manufacturing supply chains. Design/methodology/approach A two-phased multi-method approach was adopted, which included a survey questionnaire to practitioners in Chinese manufacturing supply chains followed by semi-structured interviews. The findings included 103 valid survey responses complemented by six semi-structured interviews. Findings The results indicate that in Chinese manufacturing context supply risk and manufacturing risk management are both vital for business performance. A high correlation between business and manufacturing risk management performance exists; however, no significant impact of supplier dependency, systematic purchasing, maturity of production and supply chain and human resources was found despite previously these elements being regarded as key influencers for supply and manufacturing risk management performance. The Chinese manufacturing supply chain indicated that elements such as the supplier and customer orientation, flexibility, manufacturing and supply risk highly connotes with business performance. Practical implications In the current unpredictable and volatile business environment, the competitiveness of manufacturing supply chains to a large extent depend on their ability to identify, assess and manage the manufacturing and supply risks. The findings of this study will assist supply chain managers in taking decision on manufacturing and supply risk management and reducing the uncertainty upon their business performance. Originality/value The supply chain risk has been widely explored within the context of individual case studies, or standalone models focusing on either supply or manufacturing risk in supply chains; however, to what extent this has been applicable to a wider context and its impact upon business process has not been explored. Hence, this study simultaneously has analysed manufacturing risk and supply risk and its impact upon Chinese manufacturing supply chains business performance. Moreover, this study uses a combination of quantitative and qualitative methods, which is often limited in this area. Finally, the institutional theory lens offers novel insights in better understanding the factors that can affect the impact of supply and manufacturing risk management upon business performance in those contexts, such as China, where the institutional aspect presents specific features.

scholarly journals The impact of organizational culture on supply chain integration in the hotel sector

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Mahmoud Gebril Taha ◽  
Tomás F. Espino-Rodríguez ◽  
Antonia M. Gil-Padilla
Keyword(s):  
Organizational Culture ◽  
Supply Chain ◽  
Rating Scale ◽  
Practical Knowledge ◽  
Positive Influence ◽  
Structural Equations ◽  
Supply Chain Integration ◽  
Three Dimensions ◽  
Content Type ◽  
The Impact

Purpose Supply chain integration (SCI) has become a key strategy for hotels in facing their environment. The purpose of this study is to analyze the effects of the organizational culture on the three dimensions of SCI. The competing value framework divides the organizational culture into four types, namely, hierarchical, group, rational and developmental cultures. Design/methodology/approach A structural equations model was developed to test the hypotheses proposed. The data were collected by means of a questionnaire with a seven-point Likert-type rating scale that was distributed to managers and assistant managers of 114 four- or five-star hotels located in two Egyptian cities, Hurgada and Sharm El Sheikh. Findings The results of the structured model confirm the direct link between the organizational culture and SCI. The findings suggest that rational culture is the most appropriate for SCI because it is fully associated with SCI. In contrast, hierarchical culture and developmental culture are significantly related to internal and customer integration. Group culture only has a positive influence on internal integration. Originality/value This study is the first to analyze the impact of organizational culture on SCI in the hospitality sector. The results contribute to the literature by providing managers with practical knowledge about the significant influence of organizational culture on SCI.

Propagation of risks and their impact on performance in fresh food retail

2015 ◽  
Vol 26 (3) ◽  
pp. 568-602 ◽  
Author(s):  
Samir K Srivastava ◽  
Atanu Chaudhuri ◽  
Rajiv K. Srivastava
Keyword(s):  
Supply Chain ◽  
Supply Chains ◽  
Performance Measures ◽  
Theory And Practice ◽  
Food Retail ◽  
Content Type ◽  
Fresh Food ◽  
Retail Supply Chains ◽  
And Performance ◽  
Supply Chain Risks

Purpose – The purpose of this paper is to carry out structural analysis of potential supply chain risks and performance measures in fresh food retail by applying interpretive structural modeling (ISM). Design/methodology/approach – Inputs were taken from industry experts in identifying and understanding interdependencies among food retail supply chain risks on different levels (sourcing and logistics outside the retail stores; storage and customer interface at the stores). Interdependencies among risks and their impact on performance measures are structured into a hierarchy in order to derive subsystems of interdependent elements to derive useful insights for theory and practice. Findings – Using the ISM approach the risks and performance measures were clustered according to their driving power and dependence power. Change in/inadequate government regulations’ are at the bottom level of the hierarchy implying highest driving power and require higher attention and focussed mitigation strategies. Risks like lack of traceability, transport delays/breakdowns and temperature abuse, cross-contamination in transport and storage have medium driver and dependence powers. Research limitations/implications – The approach is focussed on food retail supply chains in the Indian context and thereby limits the ability to generalize the findings. The academics and experts were selected on convenience and availability. Practical implications – It gives managers a better understanding of the risks and performance measures that have most influence on others (driving performance measures) and those measures which are most influenced by others (dependent performance measures) in fresh food retail and also a tool to prioritize them. This kind of information is strategic for managers who can use it to identify which performance measures they should concentrate on managing the trade-offs between measures. The findings and the applicability for practical use have been validated by both experts and practicing managers in food retail supply chains. Originality/value – The work is perhaps the first to link supply chain risks with performance and explains the propagation of risks in food retail supply chains. It contributes to theory by addressing a few research gaps and provides relevant managerial insights for practitioners.

AI technologies and their impact on supply chain resilience during COVID-19

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Sachin Modgil ◽  
Shivam Gupta ◽  
Rébecca Stekelorum ◽  
Issam Laguir
Keyword(s):  
Artificial Intelligence ◽  
Supply Chain ◽  
Information Processing ◽  
Supply Chains ◽  
Failure Modes ◽  
Stress Test ◽  
Weak Links ◽  
Content Type ◽  
Supply Chain Resilience

PurposeCOVID-19 has pushed many supply chains to re-think and strengthen their resilience and how it can help organisations survive in difficult times. Considering the availability of data and the huge number of supply chains that had their weak links exposed during COVID-19, the objective of the study is to employ artificial intelligence to develop supply chain resilience to withstand extreme disruptions such as COVID-19.Design/methodology/approachWe adopted a qualitative approach for interviewing respondents using a semi-structured interview schedule through the lens of organisational information processing theory. A total of 31 respondents from the supply chain and information systems field shared their views on employing artificial intelligence (AI) for supply chain resilience during COVID-19. We used a process of open, axial and selective coding to extract interrelated themes and proposals that resulted in the establishment of our framework.FindingsAn AI-facilitated supply chain helps systematically develop resilience in its structure and network. Resilient supply chains in dynamic settings and during extreme disruption scenarios are capable of recognising (sensing risks, degree of localisation, failure modes and data trends), analysing (what-if scenarios, realistic customer demand, stress test simulation and constraints), reconfiguring (automation, re-alignment of a network, tracking effort, physical security threats and control) and activating (establishing operating rules, contingency management, managing demand volatility and mitigating supply chain shock) operations quickly.Research limitations/implicationsAs the present research was conducted through semi-structured qualitative interviews to understand the role of AI in supply chain resilience during COVID-19, the respondents may have an inclination towards a specific role of AI due to their limited exposure.Practical implicationsSupply chain managers can utilise data to embed the required degree of resilience in their supply chains by considering the proposed framework elements and phases.Originality/valueThe present research contributes a framework that presents a four-phased, structured and systematic platform considering the required information processing capabilities to recognise, analyse, reconfigure and activate phases to ensure supply chain resilience.

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.

Episodic supply chains at times of disruption

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Christina Öberg
Keyword(s):  
Supply Chain ◽  
Additive Manufacturing ◽  
Supply Chains ◽  
Design Methodology ◽  
Secondary Data ◽  
Transformational Change ◽  
Content Type ◽  
Metal Additive Manufacturing ◽  
Contemporary Technology ◽  
Metal Additive

Purpose Additive manufacturing has been described as converting supply chains into demand chains. By focusing on metal additive manufacturing as a contemporary technology causing ongoing disruption to the supply chain, the purpose of this paper is to describe and discuss how incumbent firms act during an ongoing, transformational disruption of their supply chain. Design/methodology/approach Interviews and secondary data, along with seminars attracting approximately 600 individuals operating in metal additive manufacturing, form the empirical basis for this paper. Findings The findings of this paper indicate how disruption occurs at multiple positions in the supply chain. Episodic positions as conceptualised in this paper refer to how parties challenged by disruption attempt to reach normality while speeding the transformational disruption. Originality/value This paper contributes to previous research by theorising about episodic positions in light of a supply chain disruption. The empirical data are unique in how they capture supply chain change at the time of disruption and illustrate disruptive, transformational change to supply chains. The paper interlinks research on disruption from the innovation and supply chain literature, with contributions to both.

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.

Sign in / Sign up

Export Citation Format

Share Document