scholarly journals Digitalizing procurement: the impact of data analytics on supply chain performance

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Jukka Hallikas ◽  
Mika Immonen ◽  
Saara Brax

Purpose This study aims to investigate digitalization as a performance driver in supply chains, especially the role of data analytics in the digitalization of procurement. The study investigates how digital procurement capabilities are linked to data analytics capabilities and supply chain operational performance and how this links to business success. Design/methodology/approach Using operational and dynamic capabilities as foundations for data analytics capabilities, this paper studied the digital procurement capabilities and proposed the conceptual model and hypotheses for empirical testing. The collected industry survey data and structural equation method are then applied to test the hypotheses. Findings The study confirms positive and significant relationships among digital procurement capabilities, data analytics capabilities and supply chain performance. Digital procurement capabilities mediate the positive relationship between external data analytics capabilities and supply chain performance. Research limitations/implications This study has some limitations that should be addressed. The empirical study was based on survey data from a questionnaire that was probably challenging for some respondent companies with low levels of digital procurement and data analytics. Also, it is necessary to adopt secondary data to measure business performance in future studies which reduces the effect of subjective bias. Practical implications From the managerial point of view, the findings highlight the importance of gaining knowledge from gathered data and digitalized processes. Managers must focus on data utilization capabilities to improve the operational performance expected from the digitalization of supply chain activities. In addition, managers need to consider exploiting of data through new creative approaches as part of standardized operations. Originality/value The present study contributes to existing knowledge by investigating the mediating role of data analytics capabilities between the digitalization of procurement and supply chain performance. The findings support a positive relationship between the data analytics capabilities and supply chain performance in digital upstream supply chain procurement processes. The present study also clarifies the impact and role of data analytics capabilities in digital supply chain development and success.

2014 ◽  
Vol 25 (3) ◽  
pp. 553-580 ◽  
Author(s):  
Arshad Alam ◽  
Prabir K. Bagchi ◽  
Bumsoo Kim ◽  
Subrata Mitra ◽  
Fernando Seabra

Purpose – The purpose of this paper is to analyze the impact of individual logistics-related factors, namely, supplier involvement (SI), length of supplier relationship (LSR), use of information technology (IT), and logistics integration (LI) on a firm's supply chain performance (SCP) and test for the mediating effect of LI in a multi-country survey conducted in Brazil, Korea and India. The paper also develops a composite variable, supply chain competency (SCC), as an overall measure of the quality of a firm's supply chain and demonstrate its effect on a firm's SCP. Design/methodology/approach – The research methodology was based on designing and administering a survey instrument. Data collected from 187 organizations in Brazil, Korea and India were analyzed using the partial least squares structural equation modeling methodology. Findings – Results show that for the combined data, the direct effects of SI, LSR and IT on SCP are insignificant while LI has a very significant direct effect on SCP. On the other hand, except for SI, LSR and IT have significant effects on SCP through LI establishing the mediating role of LI. The paper also finds that SCC has a significant effect on SCP. Further, when countries are considered individually the paper finds that IT has a significant indirect effect on SCP in the case of all the countries while LSR has a significant indirect effect on SCP, both in the case of Brazil and Korea. Additionally, in the case of Korea SI has a significant indirect effect on SCP. Research limitations/implications – Like other survey-based research, the findings of this paper are also limited by the sample size. Especially, the observations specific to individual countries are as good as the respective sample sizes. Also, since all the respondents belonged to manufacturing firms, the findings of this paper are relevant for the manufacturing sector. Practical implications – This paper establishes the mediating effect of LI in assessing the impact of logistics-related factors on a firm's SCP. It confirms that although logistics-related factors are necessary for a firm's superior SCP, they are not sufficient unless their interactions are taken into consideration, as evidenced by the significant positive relationship between SCC and SCP. Originality/value – To the best of the authors’ knowledge, this paper is the first paper to study the effect of logistics-related factors on a firm's SCP and establish the mediating role of LI in a multi-country setting. This paper also develops a composite variable SCC and examines its effect on SCP.


2018 ◽  
Vol 24 (3) ◽  
pp. 635-651 ◽  
Author(s):  
Dara G. Schniederjans

Purpose The purpose of this paper is to assess the role of business process innovation on the relationship between social quality management (SQM) and supply chain performance. To address this issue, this paper distinguishes SQM from soft quality management. This paper further refines the impact of two levels of business process innovation (radical vs incremental) on this relationship. Design/methodology/approach Data were collected through a survey of manufacturing firms throughout the USA. Hierarchical moderated regression analyses were performed in order to examine the hypotheses. Findings This study confirmed the positive association between SQM and supply chain performance. While the results confirm a positive moderating relationship with incremental business process innovation between SQM and supply chain performance, radical process innovation was found to have a negative moderating role on this relationship. Originality/value This paper distinguishes SQM from soft quality management thus making it easier to determine which aspects of soft quality management enhance supply chain performance. This study also provides evidence of the differing ways in which business process innovation moderates the relationship between SQM and supply chain performance specifically identifying the positive and negative moderating role of incremental and radical business process innovations.


2014 ◽  
Vol 19 (5/6) ◽  
pp. 733-746 ◽  
Author(s):  
Young-Joon Seo ◽  
John Dinwoodie ◽  
Dong-Wook Kwak

Purpose – This purpose of this paper is to study the impact of innovativeness on supply chain integration (SCI) and supply chain performance (SCP) and the role of SCI in mediating between innovativeness in the supply chain and SCP. Innovativeness is an accepted driver to leverage firm performance. SCI and SCP require innovativeness in the supply chain, but their interrelationships have rarely been researched empirically. Design/methodology/approach – A questionnaire survey and structural equation modelling were used in this work. After a structural and measurement model was devised from existing supply chain literature, the main data were collected in a web-based questionnaire survey of South Korean manufacturers. Structural equation modelling was applied to test proposed hypotheses on the associations between variables, following a hierarchical analysis process. Findings – Innovativeness in the supply chain had a positive impact on both SCI and SCP. However, the direct impact of innovativeness on SCP disappeared when the model included SCI as a mediator. In specific, internal and supplier integration fully mediated innovativeness–SCP relationships, whereas customer integration had no mediating role on those relationships. The findings suggest that innovativeness can influence SCP only when the manufacturer’s level of SCI is sufficiently effective in developing necessary supply chain practices. Research limitations/implications – In this work, innovativeness in the supply chain effectively influenced SCP through the mediation of SCI. However, cross-sectional analysis in one nation using one response per organisation invites validation embracing other geographical areas and longitudinal studies. Practical implications – Design of an innovative culture within a firm and along a supply chain can enhance SCI practices by stimulating innovativeness. A high level of SCI should be pursued to effectively transform innovativeness into performance. Originality/value – This work seminally examines the effect of innovativeness in the supply chain on SCI and SCP as well as the mediating role of SCI in the relationships between innovativeness and SCP.


2020 ◽  
Vol 2 (2) ◽  
pp. 99-111
Author(s):  
Macide Berna Çağlar Kalkan ◽  
Kenan Aydın

PurposeThe aim of this study is to examine the role and capabilities of fourth party logistics (4PL) in the supply chain agility and firm performance. In addition to this, the relationship between supply chain agility and firm performance is also examined. This study aims to fulfill the gap in the literature about the studies on the relationship between 4PL capability dimensions, supply chain agility and business performance.Design/methodology/approachThe study uses survey data from 58 senior executives and managers in the logistics and supply chain functions from 4PL service providers' customer firms in Turkey. The results are structural equation modeling using SmartPLS software. Snowball sampling method was used to collect survey data.FindingsThis study shows that integrator and supply chain infomediary are appropriate practices for mediating the impact of agile supply chain strategies, on firm performance. For supply chain practitioners, results indicate that firms benefit greatly if they consider the outsourcing, such as a 4PL partnership, in conjunction with their supply chain strategy.Research limitations/implicationsTime, cost and the presence of businesses located in different cities across Turkey in the sample of study and the existence of the tendency of enterprises not to participate in the research can be stated as the limitations of this study.Originality/valueIn the literature, studies on 4PL have been conducted in different fields which can be categorized as follows: 4PL solution development, reasons that facilitate and prevent the design and implementation of 4PL, scope of 4PL service delivery and profit and risk sharing from the structure of 4PL networks. Briefly, the studies focus on conceptualizing and differentiating of 4PL from 3PL before reaching a common definition. Motivation of this study is to fulfill the gap of literature about supply chain agility, firm performance relationship and mediation role of 4PL skill dimensions.


2018 ◽  
Vol 25 (9) ◽  
pp. 4009-4034 ◽  
Author(s):  
Yudi Fernando ◽  
Ramanathan R.M. Chidambaram ◽  
Ika Sari Wahyuni-TD

PurposeThe purpose of this paper is to investigate the effects of Big Data analytics, data security and service supply chain innovation capabilities on services supply chain performance.Design/methodology/approachThe paper draws on the relational view of resource-based theory to propose a theoretical model. The data were collected through survey of 145 service firms.FindingsThe results of this study found that the Big Data analytics has a positive and significant relationship with a firm’s ability to manage data security and a positive impact on service supply chain innovation capabilities and service supply chain performance. This study also found that most service firms participating in this study used Big Data analytics to execute existing algorithms faster with larger data sets.Practical implicationsA main recommendation of this study is that service firms empower a chief data officer to establish the data needed and design the governance of data in the company to eliminate any security issues. Data security was a concern if a firm did not have ample data governance and protection as the information was shared among members of service supply chain networks.Originality/valueBig Data analytics are a useful technology tool to forecast market preference based on open source, structured and unstructured data.


2017 ◽  
Vol 32 (7) ◽  
pp. 913-924 ◽  
Author(s):  
Jeen-Su Lim ◽  
William K. Darley ◽  
David Marion

Purpose The study aims to explore supply chain influence (SCI) on the linkages among market orientation, innovation capabilities and firm performance (FP), using the resource-based view as a theoretical backdrop. Design Survey data from 182 top managers who are involved in strategy formulation and innovative direction of their companies was collected and analyzed using moderated multiple regression analysis. Findings Results revealed a moderating role of the SCI in that the proactive market orientation (PMO) and FP relationship is stronger when SCI is high, and innovation commercialization capability (ICC) and FP relationship is stronger when SCI is low. Practical implications Firms pursuing high PMO strategy must collaborate with supply chain function to achieve the full effect of PMO. Additionally, as supply chain is critical to meeting customers’ needs, these firms should allow supply chain to exert greater influence to enjoy the positive effects of PMO in addition to ensuring full integration into marketing strategy implementation. Also, firms with high ICC need to limit SCI to maximize the benefit of ICC on FP, just as innovation management needs to be cognizant of other functional areas. Originality/value The study investigates the potential moderating role of SCI on the relationships among market orientation, ICC and FP. The study fills a gap in the understanding of the nature and role of supply chain in the marketing–supply chain interaction, and the impact on FP.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Xiaoping Shen ◽  
Yeheng Zhang ◽  
Yumei Tang ◽  
Yuanfu Qin ◽  
Nan Liu ◽  
...  

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.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Mohamad Bahrami ◽  
Sajjad Shokouhyar

PurposeBig data analytics capability (BDAC) can affect firm performance in several ways. The purpose of this paper is to understand how BDA capabilities affect firm performance through supply chain resilience in the presence of the risk management culture.Design/methodology/approachThe study adopted a cross-sectional approach to collect survey-based responses to examine the hypotheses. 167 responses were collected and analyzed using partial least squares in SmartPLS3. The respondents were generally senior IT executives with education and experience in data and business analytics.FindingsThe results show that BDA capabilities increase supply chain resilience as a mediator by enhancing innovative capabilities and information quality, ultimately leading to improved firm performance. In addition, the relationship between supply chain resilience and firm performance is influenced by risk management culture as a moderator.Originality/valueThe present study contributes to the relevant literature by demonstrating the mediating role of supply chain resilience between the BDA capabilities relationship and firm performance. In this context, some theoretical and managerial implications are proposed and discussed.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Edgar Ramos ◽  
Andrea S. Patrucco ◽  
Melissa Chavez

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.


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