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Intellectual capital reflects the sum of existing knowledge a manufacturer is able to leverage and plays a critical role in new product development. The purpose of this paper is to empirically investigate the mechanisms through which intellectual capital enhances product innovation performance and how economic and institutional environments affect the mechanisms.

Using a knowledge-based view and institutional theory, this study proposes a model on the relationships among intellectual capital, supplier knowledge integration, supply chain adaptability, and product innovation performance. The hypotheses are empirically tested using multiple group structural equation modelling and data collected from 300 Chinese and 200 Indian manufacturers.

The authors find that intellectual capital improves product innovation performance both directly and indirectly through supplier knowledge integration. However, the effects are different in China and India. In particular, the direct effect of intellectual capital on product innovation performance is significantly higher in China than that in India, and intellectual capital improves product innovation performance indirectly through supplier knowledge integration only in India. The authors also find that supplier knowledge integration improves product innovation performance indirectly through supply chain adaptability in both China and India.

Using a moderated mediation model, this study provides insights into the joint effects of intellectual capital, supplier knowledge integration, and supply chain adaptability on product innovation performance. The findings enhance current understandings of how supply chain management helps a manufacturer develop new products using existing knowledge and the influences of economic and institutional environments on knowledge and supply chain management.

This paper aims to provide empirical evidence of the effectiveness of various supply chain integration (SCI) practices under different competitive strategies in terms of cost leadership and differentiation.

Survey methodology was used to collect data from 604 Chinese manufacturers. Hierarchical linear regression was used to analyze the moderating effects.

The results showed that competitive strategies significantly influenced the effectiveness of SCI practices, including internal, process and product integration. More specifically, internal integration significantly affected the financial performance of cost leaders, while process integration contributed more to the financial performance of differentiators. However, competitive strategies had no significant moderating effect on the relationship between SCI and operational performance.

This study contributes to the literature by exploring the effectiveness of various SCI practices in relation to firm performance under different competitive strategies. The results should be treated with caution, as they may be more meaningful in China.

The findings clarify the alignment of SCI with competitive strategies for practitioners, so that they can allocate their limited resources to build various SCI capabilities based on their strategic choices.

The results enhance the body of knowledge on SCI from the perspective of contextual factors to explore its effectiveness at a more detailed level. This study extends the literature on the match between competitive strategies and SCI in improving financial performance.

The purpose of this paper is to investigate the effects of human resource (HR) and manufacturing plant information technology (MP-IT) resource on companies’ internal integration capabilities and how these resources/capabilities influence supplier integration.

Using data collected from 604 Chinese manufacturers, the authors empirically test the effects of different types of resources/capabilities on supplier integration.

The results show that HR has both direct and indirect effects on supplier integration through their effects on internal integration capabilities. MP-IT resource only has significant indirect effects on supplier integration through internal integration capabilities. The results also indicate that HR is more important than MP-IT resource in improving internal integration capabilities and supplier integration.

This study empirically investigates enablers of supplier integration in China, contributing to supply chain integration literature and practices.

The purpose of this paper is to examine the simultaneous effects of two process variables: functional involvement in strategy formulation, and manufacturing improvement programs, on manufacturing performance and financial performance of manufacturing firms in China.

Rigorous empirical research methods are used to ensure proper data collection process, and reliability and validity of constructs. Structural equation modeling is used to examine the relationships between functional involvement, improvement programs, manufacturing performance and financial performance.

It was found that involvement of marketing, finance and operations in strategy formulation have an effect on cost and quality whereas the involvement of emerging functions such as human resources, public relations, research and development and information technology have an effect on all aspects of manufacturing performance.

Studies of manufacturing strategy have primarily focused on choices and plans that denote strategic intent, rather than on the process of formulating and realizing strategy. Typical studies have used data from developed countries, such as Europe and North America. Insufficient attention has been paid to the process variables of manufacturing strategy and their effects on manufacturing performance. The study addresses these gaps in the literature using data collected from Chinese firms.

The purpose of this study was to investigate and explain the factors contributing to supply chain agility in service-oriented firms and therein to enhance competitive capabilities of the organization. The study has identified various variables from past studies that support firms in developing agile supply chain operations. Factors identified from prior studies are supply chain flexibility, supply chain visibility, supply chain responsiveness, supply chain speed and learning orientation, which were then empirically tested for further understanding.

Using purposive sampling, a sample of 217 valid responses was gathered through structured questionnaire from supply chain practitioners working in various service industries of Pakistan. Partial least square-structural equation modeling was used for data analysis.

The results of the study show that learning orientation and flexibility of the service firm highly complement the goal of achieving agility in their operations. Speed and visibility also have a major impact on developing agile supply chain. Moreover, supply chain agility has a significantly positive impact on competitive capabilities.

This research is about investigating the operational agility of services sector, which is a one-off study especially in the context of developing and competitive market. This research will provide important insights into the context of dynamic capabilities view for policymakers and decision-makers who aim to develop their competitive strategies based on their operational agility.

The purpose of this paper is to explore the success factors for the assessment of manufacturing system output.

Exploratory factor analysis and second-order confirmatory factor analysis were used to analyze data and test hypotheses, respectively. A total of 36 observed variables were transformed into nine success factors, namely role of management (ROM), technical strength, employee strength, organizational strength (OS), resources (RS), production system, market research, effective planning, and research and development (RD).

The finding indicates that only four success factors, namely ROM, RS, OS, and RD, are positively related to all four outputs. Moreover, all nine success factors are positively associated with profit.

The outcomes of the present work provide meaningful implications for researchers and practitioners as well.

Earlier studies have laid focus on single output only in the manufacturing system. In the present study, an effort has been made to focus on four output dimensions, namely final product, customer relationship, reputation, and profit, which are further strengthened by incorporating the concept of performance in manufacturing systems.

Modular product development is a turning table concept in terms of benefits and impact in manufacturing companies. It offers added benefits to the companies with respect to reduce lead-time, improve assemble ability and agility in supply chain management, promote product family and enhance customer satisfaction. This paper aims to identify the patterns of modular product development strategy by using measurement techniques.

Both quantitative and qualitative approaches are considered. In the qualitative section, relevant data on product design are collected from six case companies. On the other hand, in the quantitative section, collected data are analyzed to measure the product modularity level with the case companies.

This research identifies potential metrics which can be used successfully to measure product modularity level or index in manufacturing industries. Selection of such metrics also depends on individual company’s objectives to measure modularity index.

This research contributes to the development of modular product design that supports product family design with lean and agile (leagile) supply chain process. It also provided a parsimonious framework to mapping modules within a product, which is ultimately used to measure modularity index.

This study aims to make some contribution to the process of corporate compliance governance in China.

This paper adopts qualitative method, literature research, case analysis and comparative methods to explore the Chinese compliance governance model in the field of collusive bidding crimes.

In the process of criminal prosecution of enterprises suspected of committing crimes, the judicial authorities should promote the restoration of normal production and operation of corporate enterprises by promoting the construction of corporate compliance, which is conducive to solving the difficult problem of attribution of collusive bidding crimes. In addition, corporate compliance under prosecutorial supervision is also conducive to optimizing the regulatory path of collusive bidding and achieving more effective prevention and control of unit crimes in the mode of co-regulation between the state and corporate.

Compliance governance corporate crime is at a nascent stage in China, and this study seeks to provide some reference for future compliance review governance in China through the analysis of specific business crime cases.

To reduce rates of homelessness, recent efforts have been directed toward developing non-conditional supported housing programs that prioritize the delivery of housing support and individual services, without tenancy conditions (i.e. maintaining sobriety and adhering to mental health treatment). As promising as these programs are, findings generally show that while housing stability is improved, other individual outcomes remain largely unchanged. No review to date has synthesized the collective evidence base of non-conditional housing programs, rather the focus has been on specific programs of delivery (e.g. Housing First) or on specific population groups (e.g. those with mental illness). The purpose of this paper is to evaluate the extent to which non-conditional housing interventions improve housing and well-being outcomes for all persons.

A systematic search of the literature was conducted for randomized controlled studies that evaluated the effectiveness of a non-conditional housing intervention in improving housing and health outcomes among any participant group.

A total of 31 studies were included in this review. Non-conditional supported housing programs were found to be most effective in improving housing stability as compared to health and well-being outcomes. Policymakers should consider this when developing non-conditional supported housing programs and ensure that housing and other health-related outcomes are also mutually supported.

This is the first review, to the authors’ knowledge, to synthesize the collective impact of all non-conditional supported housing programs. The current findings may inform the (re)design and implementation of supported housing models to prioritize the health and well-being of residents.

The purpose of this study is to explore the relationship between big data and supply chain platform in China’s retail industry. With the emergence of big data resources and technologies, the business pattern of new retail advocates the combination of online and offline channels. Supply chain platform plays a key role in the implementation of retail activities, which has gradually become a research hotspot in the cross field of operations management and information system.

Through the method of literature review and case study, this study empirically explores how big data shapes supply chain platform to support new forms of online retail by grounded theory.

The model framework is validated by reliability test and coding method to process survey materials. The results identify the overall antecedents of supply chain platform and reveal positive effects between big data and new retail. The findings help firm managers build a big data-driven supply chain to support new retail.

There are insufficient studies on theoretical frameworks and interaction relationships among big data, supply chain platform and new retail.