The contingency effects of environmental uncertainty on the relationship between supply chain integration and operational performance

This paper extends prior supply chain research by building and empirically testing a theoretical model of the contingency effects of environmental uncertainty (EU) on the relationships between three dimensions of supply chain integration and four dimensions of operational performance. Based on the contingency and organizational information processing theories, we argue that under a high EU, the associations between supplier/customer integration, and delivery and flexibility performance, and those between internal integration, and product quality and production cost, will be strengthened. These theoretical propositions are largely confirmed by multi-group and structural path analyses of survey responses collected from 151 of Thailand's automotive manufacturing plants. This paper contributes to operations management contingency research and provides theory-driven and empirically proven explanations for managers to differentiate the effects of internal and external integration efforts under different environmental conditions.     

Supply chain integration and operational performance: The contingency effects of production systems

The boundary conditions of supply chain integration (SCI) have been widely studied in order to find out when SCI is applicable and effective. However, prior studies have mainly focused on external contextual factors, such as supply complexity, environmental uncertainty and country-level infrastructure. This study contributes to the SCI literature by examining the contingency effects of internal production systems on the relationship between supplier integration, customer integration and operational performance. Based on organizational information processing theory, we provide evidence to show that the impact of supplier and customer integration on operational performance varies across production systems, such as one-of-a-kind production, batch production and mass production systems. The empirical results also reveal how supplier and customer integration can be matched with different configurations of production systems in order to achieve the desired quality, flexibility, delivery or cost performance.     

The impact of power and relationship commitment on the integration between manufacturers and customers in a supply chain

Supply chain integration (SCI) has received increasing attention from scholars and practitioners in recent years. However, our knowledge of what influences SCI is still very limited. Although marketing and management researchers have investigated power and relationship commitment issues between organizations, few have examined their impact on SCI. This paper extends the power–relationship commitment theory established in Western marketing literature and links it with SCI in China, through examining the relationship between power, relationship commitment and the integration between manufacturers and their customers. We propose and empirically test a model using data collected from 617 manufacturing companies in China. The results show that different types of customer power impact manufacturers’ relationship commitment in different ways. Expert power, referent power and reward power are important in improving manufacturers’ normative relationship commitment, while reward power and coercive power enhance instrumental relationship commitment. We also found that normative relationship commitment had a greater impact on customer integration than instrumental relationship commitment. These findings are interpreted in light of national culture differences between China and the U.S. in terms of power distance and collectivism, which provide a new perspective on SCI.     

Impact of eBusiness technologies on operational performance: The role of production information integration in the supply chain

While the information technology (IT) literature is mixed regarding the direct benefits of eBusiness technologies on performance, the impact of such technologies on supply chain practices remains largely an unexplored area of research. We hypothesize that while there may be no direct benefit of eBusiness technologies on performance, these technologies might support customer integration and supplier integration in the supply chain, which in turn might impact operating performance.To examine our hypotheses, we collected data from respondents who focused their responses to a single major product the process that manufactures it, a significant customer, and an important supplier. Our analyses showed that there was no direct benefit of eBusiness technologies on performance; however these technologies supported customer integration and supplier integration. Further, supplier integration was found to positively impact cost, quality, flexibility, and delivery performance; however there was no relationship between customer integration and performance. Consequently, there is a relationship between eBusiness technologies and supplier integration that leads to better performance. Further, there is an interactive effect between customer integration and supplier integration that supports the notion that firms that have both forms of integration, supported by eBusiness technologies, significantly outperform the others.     

The configuration between supply chain integration and information technology competency: A resource orchestration perspective

Research indicates that deploying appropriate information technology (IT) competency in a manner that fits the supply chain integration (SCI) of a firm induces superior firm performance; however, our understanding of how to empirically conceptualize and assess the performance effect of the fit remains limited. Drawing upon resource orchestration theory and the literature on fit assessment methodologies, our study employs both a contingency and a configuration perspective to conceptualize and operationalize “fit.” The results of a survey of 196 firms in China provide the first empirical evidence for the existence and nature of interrelationships between multiple components of SCI and IT competency and their effects on firm performance. In particular, fit as “moderation” approach indicates that IT competency could strengthen the relationship between SCI and both operational and financial performance. Fit as “profile deviation” approach further reveals that the more similar the IT competency configurations are to those of the top performers in the high-level SCI group, the higher their operational and financial performance are. However, in the medium- and low-level SCI groups, the SCI-IT competency fit is significantly positively associated with financial performance and insignificantly associated with operational performance. The theoretical contributions and managerial implications of the study are discussed.     

Levels of strategic purchasing: Impact on supply integration and performance

The growing importance of supply chain management has led to an increasing recognition of the strategic role of purchasing, which has recently evolved and expanded from “buying” to “procurement” and “supply management”. In this study, we chart our sample firms’ advance in strategic purchasing, characterized by the strategic focus, strategic involvement of the purchasing function and the status and visibility of the purchasing professionals, into three stages.This study provides strong empirical support for the importance of strategic purchasing by showing that, by moving towards the more advanced stages, firms at the nascent stage of strategic purchasing can achieve better supply integration, a second-order construct composed of four facets of relational, process, information, and cross-organizational team integration. Our analyses further reveal that strategic purchasing can have a profound impact on supply chain performance for both buyer and supplier firms.     

Customer-facing supply chain practices—The impact of demand and distribution management on supply chain success

Traditionally, distribution has been viewed as the key (physical) link between a company's internal supply chain activities and its customers. More recently, demand management has emerged as a new dimension at the customer interface. Although it has become increasing popular in industry, it has not yet been analyzed in depth with respect to its impact on supply chain performance. Both distribution management and demand management entail customer-facing processes and practices and that are interrelated and (may) jointly determine supply chain performance. In this paper we seek to extend the stream of research in supply chain management by systematically investigating the impact of customer-facing supply chain practices on supply chain performance. Specifically, the paper examines the relative impact of relevant practices associated with demand and distribution management. To this end, we collected data from 116 multi-national companies based in Europe and analyzed it using structural equation modeling techniques. Our results suggest that (i) high demand management performance has a substantial positive impact on the overall supply chain performance, (ii) this effect is stronger than that of distribution management performance, and (iii) there is no evidence that demand management might be an enabler for effective distribution management. Among the individual practices that constitute demand and distribution management, adherence to the demand and distribution management processes and demand segmentation emerged as the strongest performance levers. Based upon additional in-depth interviews conducted with selected companies from our sample, we shed light on some of the most important findings that emerged from our survey analysis.     

The impact of supply-side electronic integration on customer service performance

Although information technologies have been expected to directly enhance firm performance in specific value chain activities (e.g., supplier performance or customer service performance), their advanced capabilities offer the promise of organizational integration and spill-over benefits. Enterprise systems provide firms with platforms for electronically integrating their supplier and demand chain activities. Spill-over benefits refer to the impacts that occur when IT investments in one organizational domain benefit performance in a different value chain side of the firm. Supply-side electronic integration (SEI) refers to the use of electronic means to integrate the exchange of information and transactions with suppliers through enterprise systems. In our research, we examine whether SEI generates spill-over effects on customer service performance, over and beyond firms’ direct investments in customer-side digitization. We also examine whether structural attributes of the firm (e.g., vertical integration, diversification, and centralization) moderate the effects of supply-side electronic integration on customer service performance. Our analysis of a secondary dataset of InformationWeek 500 firms shows that SEI helps firms realize cost-savings in their customer service performance, especially if they are less vertically integrated. In addition, SEI investments help diversified and centralized firms achieve cross-selling with their customers. We also find that SEI is more likely to help decentralized and diversified firms achieve customization in their customer service activities. These results suggest that SEI helps firms achieve twin goals in customer service: cost reduction and revenue expansion. Overall, our research reveals how supply-side electronic integration could generate benefits in customer service performance in firms.     

Barriers to supply chain information integration: SMEs adrift of eLands

The literature extols the potential benefits of supply chain integration and the crucial role of integrated eBusiness to deliver those benefits. However, adoption of eBusiness in supply chains has been slower than expected, particularly in small to medium sized enterprises (SMEs). This paper reports findings of a longitudinal study of four supply chains in different sectors over a 4-year period. Specifically it examines the barriers to adoption of eBusiness technologies and therefore to achievement of integrated information in supply chains. Differences between firms in supply chains and between supply chains are examined. The study reveals disparity between existing and planned use of eBusiness by larger downstream firms compared to upstream SMEs. The SMEs are cautious, only planning to invest in eBusiness if dominant downstream customers force them; however, they do not appreciate the full benefits to be gained from eBusiness adoption. The downstream larger businesses are forging ahead with eBusiness in ‘eIsolation’ and are not providing supply chain leadership. They are creating eLands with SMEs adrift of them.     

Concentrated supply chain membership and financial performance: Chain- and firm-level perspectives

This study reports evidence that concentrated 3-firm supply chains achieve superior financial performance, and that supply chains’ financial performance varies systematically with measures of chain concentration and chain duration. Results from firm-level analyses suggest that the profitability benefits of supply chain relationships are captured predominantly by downstream chain members, whereas cash cycle benefits are realized throughout the supply chain. Firm-level tests also reveal that chain members’ financial performance varies systematically with measures of downstream bargaining power, downstream relationship duration, and degree of supply consolidation. The study's chain- and firm-level analyses employ data extracted from sample firms’ publicly available financial reports, including their major customer disclosures under Statement of Financial Accounting Standards Nos. 131 (1997) and 14 (1976).     

How supply chain architecture and product architecture impact firm performance: An empirical examination

In order to enhance performance, manufacturing firms are building various capabilities and utilizing supply chain networks that are geographically dispersed around the globe. This study examines how decisions related to supply chain architecture and product architecture influence organizational competitiveness. Building on the co-specialization perspective, we evaluate the performance implications of product modularity and supply chain agility. While, product modularity constitutes a product configuration related to sourcing and assembling of products, supply chain agility is a supply chain configuration related to velocity (sensing, comprehending, and responding) and visibility (supplier network, internal operations, and external environment). Both the product and supply chain architectural decisions can impact performance, individually and in conjunction with each other. We empirically test the hypothesized relationships using data collected from 103 manufacturing firms. Results show that supply chain agility and product modularity directly enhance responsiveness and enable organizations to reduce cost. Furthermore, supply chain agility partially mediates the relationship between product modularity and both responsiveness and cost reduction. We elaborate on the key contributions of this study for both research and practice, discuss limitations, and also offer various avenues for further research.     

Environmental uncertainty, supply chain relationship quality and performance

Environmental uncertainty is a fact of life in today's supply chains. In this paper we develop a model of environmental uncertainty, supply chain (SC) relationship quality and SC performance. We use data from the electronics sector in Ireland to test our model. Our results provide mixed support for the model, with the moderating role of both demand and supply uncertainty being supported, but technological uncertainty not supported. We reflect on these findings and suggest a research agenda based on our results.     

Enhancing hospital supply chain performance: A relational view and empirical test

Improving hospital supply chain performance has become increasingly important as healthcare organizations strive to improve operational efficiency and to reduce cost. In this study, we propose a research model based on a relational view, delineating the factors that influence hospital supply chain performance: trust, knowledge exchange, IT integration between the hospital and its suppliers, and hospital–supplier integration. Testing results of the research model based on data from a sample of 117 supply chain executives from U.S. hospitals show positive direct effects: (1) from trust and from IT integration to knowledge exchange respectively; (2) from knowledge exchange and from IT integration to hospital–supplier integration respectively; and (3) from hospital–supplier integration to hospital supply chain performance. The results also show the following indirect effects: (1) the influences of knowledge exchange and IT integration on hospital supply chain performance are partially and fully mediated by hospital–supplier integration, respectively and (2) the influences of trust and IT integration on hospital–supplier integration are fully and partially mediated by knowledge exchange, respectively. In addition, the results show the following moderating effects: (1) hospital system membership moderates the relationships between IT integration and knowledge exchange and between trust and knowledge exchange; (2) hospital environmental uncertainty moderates the relationship between trust and knowledge exchange; and (3) trust moderates the relationship between knowledge exchange and hospital–supplier integration. Implications of the study findings and directions for future research are discussed.     

Creating supply chain relational capital: The impact of formal and informal socialization processes

Establishing closer social ties between buying and supplying organizations is increasingly cited as a critical differentiator of high and low performers in global supply chains. While the creation of relational capital within an organization is a relatively well identified concept in organizational research, comparatively little research exists on the inter-organizational socialization processes that create relational value in supply chains. In our research, we extend theoretical models of group social conduits into this context, and develop a model that posits the impact of formal and informal socialization processes on the creation of relational capital between buyers and suppliers. Results from our study of 111 manufacturing organizations in the United Kingdom suggest that informal socialization processes are important in the creation of relational capital, which in turn can lead to improved supplier relationship outcomes. Formal bridging socialization conduits appear to play a lesser role in deriving these benefits.     

The link between supply chain fit and financial performance of the firm

The bottom-line financial impact of supply chain management has been of continuing interest. Building on the operations strategy literature, Fisher's (1997) conceptual framework, a survey of 259 U.S. and European manufacturing firms, and secondary financial data, we investigate the relationship between supply chain fit (i.e., strategic consistencies between the products’ supply and demand uncertainty and the underlying supply chain design) and the financial performance of the firm. The findings indicate that the higher the supply chain fit, the higher the Return on Assets (ROA) of the firm, and that firms with a negative misfit show a lower performance than firms with a positive misfit.     

Data center supply chain configuration design: A two-stage decision approach

Data centers are special-purpose facilities that enable customers to perform cloud based real-time online transactions and rigorous computing operations. Service levels of data center facilities are characterized by response time between query and action, which to a large extent depends on data center location and data travel distance. Another aspect of service level is resource up-time availability, which is determined by data center configuration. Data center location and configuration decisions are, therefore, of great significance to ensure uninterrupted operations in customers of manufacturing and service industries relying on cloud-based computing resources. In this study, following a grid-based location approach, we present two mixed integer linear programming models for capacitated single-source data center location-allocation problems. The first model provides optimal locations, capacities and configurations of data centers, and allocation of demands to open facilities when there is no existing facilities in the region. Our second model considers the decision problem of meeting new demand when the existing demand is met by the already opened facilities. We term these newly arrived demand as replication demand, which results either from emergence of new users of existing customers at distant locations in the future, or as a means of increasing data resilience by creating data replication as a backup. To solve the decision problem for meeting primary and replication demand optimally, we propose a two-stage decision algorithm. The algorithm provides optimal locations, capacities and configurations for new data centers, capacity addition decisions to the existing facilities and subsequent allocation of demands. Both models and solution algorithm are implemented using AMPL programming language and solved with CPLEX solver. The models are found to be scalable and capable to provide high quality solutions in reasonable time.     

The effects of innovation–cost strategy, knowledge, and action in the supply chain on firm performance

Despite the importance of supply chains within today's economy, we know little about how the knowledge of supply chains can contribute to superior performance at the firm level. Building on the resource-based view, knowledge-based view and strategic choice theory, we develop hypotheses linking two knowledge-driven supply chain phenomena (i.e., knowledge development capacity and intellectual capital), innovation–cost strategy, and action to firm-level performance. Using survey and archival data from 489 firms, we found that performance is influenced by how well knowledge development capacity and intellectual capital efforts complement alternative chain strategies. More specifically, each strategy type requires different constellations of knowledge development capacity and intellectual capital to enhance action and create superior firm performance. These results highlight the importance of supply chain phenomena for firm-level performance, and more broadly, the value of supply chains as a competitive weapon in contemporary firms.     

The impact of vertical integration on inventory turnover and operating performance

This paper investigates how vertical integration may influence inventory turnover and firm operating performance. A causal model is developed to investigate the effects of vertical integration on three types of inventory, namely raw materials inventory (RMI), work in progress inventory (WIPI) and finished goods inventory (FGI). The model tests the interactions between inventory types and the consequences of inventory turnover performance on various aspects of firm performance including costs and profitability. In particular, path analysis supports systematic differences with respect to how vertical integration affects RMI, WIPI and FGI. Vertical integration has a positive effect on RMI and FGI turnover but no significant effect on WIPI turnover. FGI contributes to a reduction in supporting processes costs which causes an improvement in return on sales (ROSs). Vertical integration impacts ROS directly.     

Implementing supply chain information integration in China: The role of institutional forces and trust

This study investigates the effects of Chinese companies’ institutional environment on the development of trust and information integration between buyers and suppliers. Three aspects of China's institutional environment are salient: legal protection, government support, and the importance of guanxi (interpersonal relationships). This study uses structural equation modeling to analyze data collected from 398 Chinese manufacturing companies. Government support and importance of guanxi significantly affect trust, which subsequently influences two elements of information integration, namely, information sharing and collaborative planning. Furthermore, the importance of guanxi has a direct, positive impact on information sharing, and government support has a direct, positive effect on both information sharing and collaborative planning.