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Prior research on supply chain management has advanced substantially our understanding of how suppliers’ knowledge affects manufacturers’ green innovation. However, overlooking the suppliers’ diverse green knowledge in supplier networks, namely, green knowledge diversity, has limited our understanding of both supply chain management and green innovation development. To address this important issue, this study aims to rely on social network theory as the overarching framework and knowledge-based view as the underlying theoretical foundation to examine how green knowledge diversity contributes to manufacturers’ green innovation performance, while considering three types of supplier network properties (network strength, network heterogeneity and network density).

This study collects both survey and secondary proxy data from 209 manufacturing firms over three time periods (mid-2018, mid-2019 and mid-2020). PROCESS macro is applied to test the research hypotheses.

The results provide compelling evidence that green knowledge management processes partially mediate the effect of green knowledge diversity on manufacturers’ green innovation performance. The effect of green knowledge diversity is strengthened by supplier network strength and supplier network heterogeneity, but hindered by supplier network density.

This study provides a practical guide to help manufacturers enhance green innovation performance by properly managing and leveraging their suppliers’ diverse green knowledge domains in supplier networks.

This study contributes to the supply chain management and green innovation literature by offering novel theoretical and empirical insights into how manufacturers can use their supplier networks to strengthen green innovation.

Prior research on business analytics has advanced substantially our understanding of how social media analytics affect business performance. However, the specific value of social media analytics to product innovation has not been fully explored and appreciated. To address this important issue, the present study draws on the resource-based view and the knowledge-based view to examine (1) whether the use of social media analytics strengthens radical product innovation to a greater extent than it does incremental product innovation and (2) how knowledge-exploration competence and knowledge-exploitation competence mediate the influence of social media analytics on radical and incremental product innovation.

This study tested the proposed model using data collected from 205 manufacturing firms. Structural equation modeling was applied to test the research hypotheses using LISREL 8.80 software program.

The statistical findings provide compelling evidence that the use of social media analytics is more likely to lead to radical product innovation than to incremental product innovation. In addition, knowledge-exploration competence only partially mediates the relationship between social media analytics and radical product innovation. Knowledge-exploitation competence not only partially mediates such a relationship, but also fully mediates the link between social media analytics and incremental product innovation.

This study contributes to the social media analytics and innovation literature by offering novel theoretical and empirical insights into how firms can leverage the value of social media analytics to create superior product innovation.

Despite touting the value of green practices, many firms struggle to respond appropriately to the diverse environmental issues. The purpose of this paper is to investigate how the external and internal pressures interplay to influence top management championship, which, in turn, fosters the company’s green culture and the adoption of green practices. It thus helps to explain Chinese firms’ diversity with respect to the adoption of green practices.

A conceptual model is developed that summarizes the interplay of external and internal pressures, top management championship, green culture and the adoption of green practices. Data from 148 Chinese manufacturing firms were collected and a structural equation model was used for statistical analysis.

Government policy that provides incentives to adopt green practices and overseas customers’ green demand has significant positive influences on top management championship, while resources pressure has a significant negative effect. Government command and control policy, domestic customers’ green demand and organizational inertia do not impact top management championship. Furthermore, top management championship is positively correlated to both green culture and green practices, and green culture contributes to implementing green practices.

The findings help us understand which external and internal factors inspire or force top management to adopt green practices, and how they do so. Moreover, managers must also be aware of the bridging role of green culture. The findings will be valuable to policy makers in forming and enforcing “stick” or “carrot” environmental policies.

Leveraging a multi-theoretic approach, the authors’ research builds on insights from the institutional theory, natural resource-based view (NRBV) and upper echelons perspective, so as to increase the authors’ understanding on how firms adopt green practices to respond to environmental sustainability pressures. The institutional theory and the NRBV are leveraged in this study to recognize that firms perceive not only external institutional pressure for environmental management but also the internal pressure from resource constraints and capability to change. Upper echelons perspective is integrated into this study to explain the leadership role that top management serves in the management of the organization’s response to dynamic changes in the institutional environment and cultivate green culture within organization.

As outsourcing continues to grow, supplier management becomes critical to the success of manufacturing firms. Transaction cost economics (TCE) suggests that firms should choose supplier governance mechanisms to ensure fulfillment of contractual obligations and safeguard against opportunism for their outsourcing activities. Accordingly, the purpose of this paper is to examine how buying organizations govern supplier contracts to improve manufacturing competitiveness and financial performance. The relative effectiveness of two primary governance mechanisms, contractual governance (CG), and relational governance, are examined.

Expanding upon previous studies, this study delineates three relational governance mechanisms (negotiation efficiency (NE), problem solving relations, and information sharing (IS)) that are conceptually, statistically and pragmatically different. Based on the TCE literature, a conceptual model is developed to decipher the relationships between pre-contract conditions (supplier asset specificity and environmental uncertainty (EU)), governance mechanisms, performance ambiguity (PA), and performance. Using the data collected from 987 firms, the statistical results present several important findings that would advance current theory and practice in outsourcing.

The authors find empirical support for the effects of contractual and relational governance in improving manufacturing and financial performance. The governance of supplier contracts clearly facilitates manufacturers’ ability to leverage their resources to improve performance. The relative effectiveness of these two governance mechanisms is related to the levels of EU and supplier asset specificity. Relational governance displays greater influence on performance than CG does. However, CG appears to be complementary to relational governance.

The interplays between supplier asset specificity and EU should be examined in the future. The relationships among NE, IS, and problem solving should also be examined to facilitate the development of relational governance.

Managers should be aware of the situational performance of governance mechanisms. Moreover, it is important to realize how differently each of the three relational governance mechanisms and CG contribute to performance.

This study extends the academic discussion of supplier governance by investigating the alignment of governance mechanisms (relational governance and CG) with pre-contract conditions to reduce PA and, thereby, enhance manufacturing performance. Under the theoretical framework of TCE, the direct and indirect effects of pre-contract conditions and governance variables are fully examined and discussed. Moreover, relational governance involves multiple mechanisms that are conceptually and pragmatically different, and future studies should not treat it as one single construct.

Customer waiting is regarded as one of the most critical aspects of service quality. Research has suggested various approaches to reduce the negative impact of waiting. This article investigates the waiting time performance of alternative service process designs that consist of two operations, order taking and order preparation. The research premise is that no single service process design is the best in all operating conditions. Managers should build flexibility into service process design by using alternative designs in combination. Several break‐even models are developed to examine the contingent nature of the performance of alternative designs. The results point to the need for building flexibility into service process designs by demonstrating that waiting time performance can only be optimized if design strategies are altered in response to ongoing changes in service system input parameters.

The purpose of this study is to test the validity of national culture as an explanatory construct for international operations management decision‐making.

National culture is multi‐dimensional thereby allowing for much finer grained comparisons than are possible when examining differences based purely on geography or the level of industrialization. This proposition is examined from the theoretical standpoint then empirically investigated using an existing database.

This article finds that national culture significantly explains international operations management behaviors among similar manufacturing plants in the same industry located in different cultures.

This study represents a first attempt at using national culture to explain differences of operations decision‐making.

The purpose of this paper is to examine the effects of social resources on promoting information sharing practice and, thereby, improving firm performance. In particular, the authors are interested in addressing the following research questions. First, can the development of social capital (expressed in three dimensions: cognitive capital, structural capital, and relational capital) promote the content and quality of supply chain information sharing? Second, what are the relationships among the three social capital dimensions in the context of information sharing? Third, what are the effects of shared information (content and quality) on firm performance?

A theoretical model and several research hypotheses, well-grounded in the western literature, are developed. Data from 272 manufacturers in China were collected to test the model and the hypotheses. Structural equation modeling was used for statistical analysis.

The statistical results reveal that each social capital dimension has different effects on information sharing and performance. Namely, relational capital and cognitive capital have significant positive influences on information sharing. Structural capital has no direct positive impact on information sharing, but it displays indirect affects through the other two social capital dimensions. Furthermore, both the content and quality of the shared information improve manufacturing efficiency and responsiveness performance. Finally, the paper also recognizes possible reciprocal causality between relational capital and cognitive capital.

First, considering the distinct role of social relations in China, future studies should examine the influence of social capital and the potential reciprocal relationship between trust and shared vision, using data from other countries. Second, data were collected solely from the Pearl River Delta, China. Studies based on samples drawn from other regions, such as the Yangtze River Delta, the Bohai Sea economic area, and southwest China, would provide a degree of geographic and economic diversity and extend the generalizability of the results.

Despite the touting of the value of information sharing, many companies struggle with the practice. The findings help us understand the process by which social capital accumulates and contributes to information sharing. Namely, firms must first engage in social interactions with supply chain partners in order to develop a trusting relationship and a shared vision for information sharing. The managers must also be aware of the possible reciprocal relationship between trust and shared vision. Both the volume and content of information sharing are critical to the performance.

Manufacturers can use the concept of social capital to build relational rents for information sharing.

Responding to the call from the literature, this study extends the discussion of antecedents and consequences of supply chain information sharing, with a focus on the influences of relational resources. The paper proves that social capital provides a valid theoretical base from which to examine the role of social relations in promoting supply chain information sharing. Previous supply chain research in social capital often limited its consideration of social capital to relational capital. Understanding the effects of all three dimensions of social capital and their inter-relationships would contribute to the process by which social capital accumulates and promotes information sharing. Additionally, a study with the Chinese data should validate the theoretical model developed based on western literature, and offer valuable insights to researchers and practitioners from both economic and cultural perspectives.

The most important issue facing manufacturers is maintaining the improving product quality, since quality is related to long‐term competitiveness as measured by market share and profitability. Firms are implementing many different quality programmes to improve quality. Many times these programmes are not focused on what can be accomplished, since each company is at different stages in its quality development. Examines these development stages of quality management, so that manufacturers can estimate the quality development stage. After evaluating their quality stage manufacturing firms can improve quality systematically, by concentrating on those programmes that best suit their development.

The management in non‐profit humanitarian organizations is often preoccupied with its welfare objectives and ignores the operations efficiency and operating cost controls. Proposes an operations‐planning and control framework for small non‐profit humanitarian organizations. The proposed framework integrates several operations management‐planning tools such as time series forecasting, aggregate production planning, ABC analysis, and material requirements planning (MRP) to facilitate better demand and resource management. The purpose of this framework is to provide management with better resource planning and a base of performance evaluation. Using real data, this framework was applied to a non‐profit organization taking into consideration its unique welfare objective. Results indicate that substantial improvements in operations efficiency and cost reduction are possible for small non‐profit organizations through modified operations‐planning and control activities.

Suggests that focused manufacturing is a strategic orientation based on limiting the set of products, technologies, production volume range, and/or target markets for which a given plant is responsible. Provides a comprehensive discussion of the concept of manufacturing focus. Suggests the implementation of manufacturing focus as an approach to integrate marketing needs and manufacturing systems design. Proposes a five‐step procedure for implementing the concept of manufacturing focus, based on observations from a case study and related literature. Identifies critical issues in each implementation step and makes suggestions for dealing with these issues. Concludes that a model that provides such a systematic implementation procedure should enable managers to integrate marketing and manufacturing functions.