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Cross-functional integration has been an important factor for manufacturing firms' performance outcomes. The study aims to expand previous research by investigating the moderating role of goal-based incentive systems in the relationship between cross-functional integration and competitive performance.

Based on multi-source data from 269 manufacturing firms around the world, regression analysis is used to test the proposed research model.

The authors' findings suggest that cross-functional integration enhances manufacturers' innovation and operational performance. Moreover, cross-functional integration has a stronger impact on operational performance when firms implement a well-designed goal-based incentive system. However, the authors find that the goal-based incentive system does not moderate the relationship between cross-functional integration and innovation performance.

The study, by investigating the fit between goal-based incentive systems and cross-functional integration, provides practical insights into the ways that firms apply cross-functional integration and goal-based incentive systems to enhance competitive performance.

The current study aims to investigate the role of strategic environmental orientation (SEO) in implementing environmental design practices (EDPs).

On the basis of survey data collected from 212 US manufacturing firms, structural equation modeling and regression analysis are used to test the proposed research model.

The findings of the present study suggest that SEO not only drives firms' design of environmental products but also moderates the relationship between EDPs and environmental performance. However, SEO turns out not to moderate the relationship between EDPs and operational performance. This study also highlights that firms' EDPs play a critical role in enhancing environmental performance as well as operational performance.

By examining the important role of SEO, this research unpacks the moderating role of SEO between EDPs and firm performance, thus shedding light on how SEO promotes EDPs and the effectiveness of EDPs.

With increasing emphasis on the environment, firms are required to include sustainability practices at all levels – strategic, operational, and outcome measures. The purpose of this paper is to present a research model that defines sustainability practices in the context of the competitive business environment, strategic driver, operational and supply chain practices, and performance outcomes.

This paper identifies research gaps in the areas of integration of sustainability practices across functional levels within firms and across networks. In total, 379 companies were analyzed in structural equation modeling.

This study has three important findings: First, firms striving for responsiveness to market and customers also improve environmental performance; second, this study confirms lean practices as an important mediator to achieve excellent environmental performance; third, the focal company takes the lead in achieving environmental performance, and suppliers are in the supportive circle of influence.

This study provides a research model based on rich theoretical support. It further provides reliable measures of sustainability practices as benchmark tools.

Critical information flows in the supply chain reflect the patterns of organizational culture and supply chain strategy (SCS). This paper aims to links organizational culture and SCS using competing values and an uncertainty framework.

Anchored at literature review on organizational culture and SCS, this paper presents a typology with four patterns of organizational culture with four types of corresponding SCS.

This paper presents diverse requirements for effective design of supply chain in that for each pattern of organizational culture, corresponding SCS is identified: efficient for hierarchical, risk‐hedging for group, responsive for rational, and agile for developmental culture.

The exploratory nature of this study requires empirical research validation. Firms may use this research framework in design and evaluation of their supply chain management structure according to their organization's cultural elements and requirements.

Using this integrative framework business executives may better manage the informational infrastructures that reflect the rich dynamics between their particular organizational cultural traits and supply chain behavioral practices.

This paper expands the concept of organizational culture in the extended supply chain network context and identifies information strategy profiles.

Corporate reputation is regarded as an intangible asset which differentiates a firm from others and attracts customers to repurchase and willingly pay a premium price for products. However, despite the perceptive association between reputation and financial performance, empirical studies report inconclusive results. The purpose of this study is to investigate this link more comprehensively using four different reputation attributes and firm characteristics in the context of high‐ vs low‐tech companies.

This study operationalizes the corporate reputation as the four measures of Fortune's “America's Most Admired Companies” of 2008 and matched the companies with financial performance and firm characteristics measures from COMPUSTAT Research Insight for the period between 2001 and 2005. A total of 230 firms (108 in high‐tech vs 122 in low‐tech) over the same period were selected and stepwise multiple regression analysis probed the relationship between the corporate reputation and performance.

The key finding of this study is that such variables as corporate reputation are significantly and positively related with most indices of corporate performance measures while debt leverage affects profitability negatively. It was surprising to find that innovativeness turned out to have no impact on financial performance in both high‐ and low‐tech firms. The positive association between social responsibility and firm performance appeared to be partially supported because it showed significant impact on market‐based performance, but not on accounting‐based performance.

This study confirms the resource‐based view that a valuable, inimitable, and non‐substitutable asset such as corporate reputation leads firms to enhance financial and market performance. However, the effect is contingent on firm characteristics such as firm size, R&D intensity, debt leverage ratio, and capital intensity. Corporate reputation appears to emerge as a critical dimension of benchmarking of a firm performance.

The purpose of this paper is to present a research model that defines the inter‐relationships between strategic green orientation, integrated product development, supply chain coordination, green performance outcomes and business unit performance. This paper aims to address innovation issues by integrating strategic orientation, internal business practices, supply chain coordination, and performance outcomes measures.

The international data of 711 firms accessed through the International Manufacturing Strategy Survey (IMSS IV) are used to validate this model.

A firm's strategic green orientation involves past green practices, implementation of innovative environment improvement program and future commitment for environmental practices. This strategic green orientation is supported by a set of inter‐organizational innovation practices such as integrated product development practices, effective coordination of supply chain network and relevant and measurable performance outcomes.

The model, variables, empirical tests and results in this paper suggest a new understanding about strategic green orientation and its relationships with product development practices and supply chain coordination. The framework is intended both to explicitly inform senior executives of the importance of inter‐organizational innovation practices such as strategic green orientation in terms of past, present and future practices as well as to the factors that effectively implement such strategic direction and commitment. It is also intended to provide a lens with which further research can be directed to enhance environmental reputation and outcomes of firms through new product development practices and supply chain network coordination and the sustainable long‐term competitive advantages of the firms.

The purpose of this paper is to develop research frameworks for two types of green supply chains based on Fisher's seminal work. In spite of Fisher's contribution to the literature, his study has rarely been extended into green supply chain contexts, except in a few conceptual arguments. The current study explores how Fisher's perspective of efficient versus responsive supply chains can be a stepping stone to the development of two green supply chains: eco‐efficient and eco‐responsive supply chains.

Toward the above end, a case methodology is employed (Yin). Two Korean global companies, Pohang Iron and Steel Company (POSCO) and Samsung Electronics (SEC), are selected to explore eco‐efficient and eco‐responsive supply chains. POSCO (steel products) is selected to enable the understanding of how efficient and eco‐efficient supply chains work. SEC (mobile phone products) is chosen to understand responsive and eco‐responsive supply chains.

The findings suggest that POSCO tends to stress process technology innovation as a means to address green pressures, while SEC accentuates the green product strategy; while an eco‐efficient supply chain focuses on keeping to an environmental standard across the supply chains, an eco‐responsive supply chain centers on the collaboration of suppliers and distributors in greening the supply chain; and SEC takes more initiatives to educate and encourage consumers to engage in recycling activities than POSCO does.

Few studies have examined the green supply chain using the perspective of Fisher's framework (efficient vs responsive supply chains). By addressing the timely topic, this study fills a research gap in green supply chain literature.

The purpose of this paper is to design an innovative performance modeling system by jointly using data envelopment analysis (DEA) and artificial neural network (ANN). The hybrid DEA-ANN model integrates performance measurement and prediction frameworks and serves as an adaptive decision support tool in pursuit of best performance benchmarking and stepwise improvement.

Advantages of combining DEA and ANN methods into an optimal performance prediction model are explored. DEA is used as a preprocessor to measure relative performance of decision-making units (DMUs) and to generate test inputs for subsequent ANN prediction modules. For this sequential process, Charnes, Cooper, and Rhodes and Banker, Chames and Cooper DEA models and back propagation neural network (BPNN) are used. The proposed methodology is empirically supported using longitudinal data of Japanese electronics manufacturing firms.

The combined modeling approach proves effective through sequential processes by streamlining DEA analysis and BPNN predictions. The DEA model captures notable characteristics and efficiency trends of the Japanese electronics manufacturing industry and extends its utility as a preprocessor to neural network prediction modules. BPNN, in conjunction with DEA, demonstrates promising estimation capability in predicting efficiency scores and best performance benchmarks for DMUs under evaluation.

Integration of adaptive prediction capacity into the measurement model is a practical necessity in the benchmarking arena. The proposed framework has the potential to recalibrate benchmarks for firms through longitudinal data analysis.

This research paper proposes an innovative approach of performance measurement and prediction in line with superiority-driven best performance modeling. Adaptive prediction capabilities embedded in the proposed model enhances managerial flexibilities in setting performance goals and monitoring progress during pursuit of improvement initiatives. This paper fills the research void through methodological breakthrough and the resulting model can serve as an adaptive decision support system.