The relationship between supply chain strategies and supply chain performance among large-scale manufacturing firms: the moderating effect of supply chain technology

2016 ◽  
Vol 1 (2) ◽  
pp. 123
Author(s):  
Peterson Obara Magutu ◽  
Isaac Meroka Mbeche ◽  
James Muranga Njihia ◽  
Richard Bitange Nyaoga
2018 ◽  
Vol 23 (6) ◽  
pp. 500-517 ◽  
Author(s):  
Himanshu Shee ◽  
Shah Jahan Miah ◽  
Leon Fairfield ◽  
Nyoman Pujawan

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.


Mathematics ◽  
2020 ◽  
Vol 8 (11) ◽  
pp. 1902
Author(s):  
Tsu-Ming Yeh ◽  
Fan-Yun Pai ◽  
Liang-Chuan Wu

This study examined the relationship between supply integration and relationship stability and the relationship between relationship stability and performance; furthermore, the moderation effect of environmental uncertainty on supply chain integration and relationship stability was analyzed. The subjects are typical small and medium-sized enterprises (SMEs) in developing countries that focus on niche markets to compete with large-scale manufacturers. Questionnaires were distributed to manufacturers to collect empirical data; in total, 566 valid samples were gathered. The results indicate that supply chain integration has positive effects on relational stability and that relational stability has positive effects on supply chain performance. Relational stability is a mediator between supply chain integration and supply chain performance. The contingency effects of environmental uncertainty on the relationships between internal integration and relational stability were determined in this research. This research framework extended past research on supply chain management; part of the research explored the relationship between supply chain integration and different measures of supply chain performance, as well as whether uncertainty affects supply chain integration and supply chain performance.


Author(s):  
Lakpura D.D. ◽  
Anuththara K.H.G.M. ◽  
Hansika P.P.G.C.N. ◽  
Fernando K.E.H. ◽  
Ranjiva Munasinghe ◽  
...  

Advances in technology and innovation require companies to embrace these new trends to compete and stay ahead in the business world. In particular, there is a need for companies to incorporate Business Analytics practices within their organizations. Business Analytics consists of two components: Information Systems and Business Process Orientation. This study aims to investigate the impact of the use of Business Analytics on the Supply Chain Performance in apparel companies in Sri Lanka. This research focuses on discussing the objectives developed to achieve the purpose of the study. To achieve this objective, this current study investigates the relationship between the Information System, Supply Chain Performance and the effect of the use of the Information System in the supply chains of Sri Lankan apparel companies. The study uses a quantitative approach. In this study, for quantitative analysis study performs regression analysis and decision tree analysis. This study identifies a positive relationship between the Information System and the Supply Chain Performance. For further future studies, it is advisable to extend this study by examining the performance of medium-and large-scale companies in the country.


Author(s):  
Karani Anthony Muriithi ◽  
Odari Sammy ◽  
Noor Shalle

The manufacturing sector in Kenya is faced by the challenges of performance and unstructured supply chain strategy. Further, the manufacturing sector growth in 2014 was 3.4% compared to a 5.6% growth in 2013 (Waiguru, 2015). This slow growth in manufacturing sector performance can be attributed to several environmental uncertainties such as the general election, high production costs, supply disruptions, political stability, unavailability of raw materials or demand fluctuations, technological changes, employees’ strikes, financial risk, terrorism and competition from imported goods (KNBS, 2018).The purpose of the study was to determine the moderating effect of environmental uncertainties on the relationship between risk hedging supply chain strategy and performance of manufacturing firms in Kenya. The study utilized descriptive research design. The target population was 829 managers from manufacturing firms around the country. A sample of 270 managers was selected using stratified random sampling. Results indicated that risk hedging supply chain strategy explained 63.8% of the total variations in performance of manufacturing firms. In addition, risk hedging supply chain strategy had a positive and significant effect on firm performance (β=0.675, P < .000). With introduction of moderating variable (environmental uncertainties); risk hedging supply chain strategy explained 34% of the total variations in performance of manufacturing firms. This denoted those environmental uncertainties had a negative moderating effect on the relationship between risk hedging supply chain strategy and performance of manufacturing firms in Kenya. The study concluded that risk hedging supply chain strategy had a positive and statistically significant effect on performance of manufacturing firms in Kenya. The study further concluded that environmental uncertainties lower the effect of risk hedging supply chain strategy on firm performance. The study recommends that manufacturing firms should strengthen aspects related to risk hedging supply chain strategy. The firms should particularly strengthen safety stock, suppliers’ management and quality. The improvement of these aspects is expected to enhance performance of the manufacturing firms. This study further recommends that manufacturing firms should factor in environmental uncertainties related to demand, supply and technology when implementing supply chain strategies.


Author(s):  
Anthony Muriithi Karani ◽  
Sammy Odari Namusonge ◽  
Ishmail Noor Shalle

The purpose of the study was to determine the moderating effect of environmental uncertainties on the relationship between lean supply chain strategy and the performance of manufacturing firms in Kenya. The study utilized a descriptive research design. The target population was 829 supply chain managers or directors from manufacturing firms around the country. A sample of 270 supply chain or procurement managers was selected using stratified random sampling. Results indicated that lean supply chain strategy explained 60.7% of the total variations in the performance of manufacturing firms. In addition, lean supply chain strategy had a positive and significant effect on the performance of manufacturing firms. With the introduction of moderating variables (environmental uncertainties); lean supply chain strategy explained 33% of the total variations in the performance of manufacturing firms. This denoted those environmental uncertainties had a negative moderating effect on the relationship between lean supply chain strategy and performance of manufacturing firms in Kenya. The study concluded that lean supply chain strategy had a positive and statistically significant effect on the performance of manufacturing firms in Kenya.


2019 ◽  
Vol 25 (7) ◽  
pp. 1587-1611
Author(s):  
Jorge Tarifa-Fernández ◽  
Jerónimo de-Burgos-Jimenez ◽  
José Cespedes-Lorente

Purpose The purpose of this paper is to explore and advance on existing knowledge regarding supply chain integration (SCI) and absorptive capacity (AC). On the one hand, new elements, such as high-performance human resource practices (HPHRP) and internal integration (II) are proposed to foster AC within the supply chain. On the other hand, the study proposes a model and hypotheses to analyze the moderating effect of AC on the relationship between external SCI and supply chain performance. Design/methodology/approach Four hypotheses are formulated based on relevant literature. Data were collected from the horticultural marketing sector, using two different sources, a survey and archival data. A total of 99 responses were analyzed. Hierarchical multiple regressions were carried out to test the proposed hypotheses. Findings The results confirm that HPHRP are a crucial element when trying to increase the level of AC. In addition, the results show that AC has a moderating effect on the relationship between SCI and supply chain performance (both economic and financial). AC moderates the relationship between customer integration and economic performance. Originality/value This study examines the potential causes for the differences that exist in a firm’s ability to develop AC. Thus, on the one hand, HPHRP and II are proposed as triggers of AC, and on the other, AC is proposed as a moderator in the relationship between SCI and performance.


2021 ◽  
Vol 6 (1) ◽  
Author(s):  
Siddharth Arora ◽  
Alexandra Brintrup

AbstractThe relationship between a firm and its supply chain has been well studied, however, the association between the position of firms in complex supply chain networks and their performance has not been adequately investigated. This is primarily due to insufficient availability of empirical data on large-scale networks. To addresses this gap in the literature, we investigate the relationship between embeddedness patterns of individual firms in a supply network and their performance using empirical data from the automotive industry. In this study, we devise three measures that characterize the embeddedness of individual firms in a supply network. These are namely: centrality, tier position, and triads. Our findings caution us that centrality impacts individual performance through a diminishing returns relationship. The second measure, tier position, allows us to investigate the concept of tiers in supply networks because we find that as networks emerge, the boundaries between tiers become unclear. Performance of suppliers degrade as they move away from the focal firm (i.e., Toyota). The final measure, triads, investigates the effect of buying and selling to firms that supply the same customer, portraying the level of competition and cooperation in a supplier’s network. We find that increased coopetition (i.e., cooperative competition) is a performance enhancer, however, excessive complexity resulting from being involved in both upstream and downstream coopetition results in diminishing performance. These original insights help understand the drivers of firm performance from a network perspective and provide a basis for further research.


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