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Operational practices and operational capabilities are critical yet distinct elements in operations strategy. The purpose of this paper is to examine their conceptual differences and explore how they are developed in a portfolio, considering the potential for practices and capabilities to be either compensatory or additive in nature.

The compensatory model argues that the lack of investments in certain practices or capabilities can be offset by higher level of investments in other practices or capabilities. In contrast, the additive model argues that the firm must invest in certain practices or capabilities and that trade‐offs are impossible. The authors examine evidence for these two competing models using an approach borrowed from studies of multi‐attribute consumer preference models and statistical comparisons of non‐nested models.

Data for the study were collected from operations managers who were members of a large professional organization. The findings indicate that the effects of operational practices are additive for some operational outcomes and compensatory for others. However, the combinatorial nature of operational capabilities is purely compensatory.

The results imply that adequate investment in a wide range of operational practices is necessary to enhance operations performance. However, operations units appear to have more flexibility in choosing to develop a distinctive operational capability set.

The study clarifies the different orientation of operational practices and operational capabilities as they contribute to operations strategy. The findings provide guidelines regarding the combinatorial natures of operational practices and operational capabilities. These guidelines have critical strategic implications for resource allocation schemes and how these schemes affect operational performance.

The purpose of this paper is to investigate the impact of lean operations practice and design on the Chinese manufacturing performance, using lean assessment data from 65 plants in various industries.

Exploratory factor and regression analyses are used to examine the associations among operations practice, production design, and operations performance. Three constructs are developed, two for operations practice (human resources and supply chains) and one for production design.

Factor analysis shows that three factors are sufficient to represent the lean performance dimensions of flow, flexibility, and quality. Regression analysis shows that the lean performance factors are strongly related to operations practice and production system design. Using lean factors and operations practice/design, our results indicate significant gaps in lean manufacturing practices among different industries, with the petroleum and hi‐tech industries performing relatively best. In addition, the garment industry performs very well in flexibility, indicating it does not compete just on price, but also on rapid response. Finally, all industries perform well in quality, underlining the emerging economy character of China. These results support other recent findings of the positive impact of lean operations on the performance of the Chinese manufacturing sector.

The paper's findings, which are based on the experience of selected manufacturing plants in China, should not be interpreted as indicative of the characteristics of the Chinese manufacturing plants in general.

This paper advances the evidence on the role of lean manufacturing in two ways. First, to derive more robust statistical results, the paper relies on primary lean assessment data, as opposed to secondary opinion survey data common to most other studies. Second, to obtain more general findings, the paper makes use of a wider set of relevant variables, both for assessing manufacturing practice and performance, than is usual in the literature.

Sustainable operations are increasingly part of firms’ competitive strategies. Research widely investigates the relationship between sustainable operations and competitive advantage, considering financial performance as a dependent variable, and shows controversial results. The purpose of this paper is to operationalize competitive advantage as internal and external intangible benefits, such as human resource (HR) and customer benefits. HR benefits concern the deployment of a workforce pursuing a firm’s goals and strategy; customer benefits concern the improvement of a firm’s relationship with its customers.

Empirical results are provided in an analysis of data from a survey conducted on a sample of 107 Italian firms in the food industry. A single industry and country are selected to avoid possible differences in regulations and in operations processes. Structural equation modelling is used to test hypotheses relating sustainable operations to HR and customer benefits.

The authors distinguish between green and social operations practices. Green operations practices directly impact customer benefits but not HR benefits. Social sustainable operations practices do not directly impact customer benefits but instead have a direct impact on HR benefits. Hence, through HR benefits, they have an indirect impact on customer benefits.

The authors provide results showing to operations managers that both green operations and social operations are crucial to obtaining customer benefits. Social operations do this by enhancing HR benefits. Green operations instead are not positively related to HR benefits.

This research serves as an original contribution to the sustainable operations literature in two ways. First, from a resource-based perspective, the relationship between sustainable operations, HR benefits, and customer benefits is proposed and tested. Such benefits are also shown to be interrelated based on the service profit chain model. Second, green and social operations practices are analysed separately providing a nuanced view of benefits related to sustainable operations.

The purpose of this paper is to examine the direct influence of three types of operations management practices, namely total quality management (TQM), lean manufacturing (LEAN), and supply chain management (SCM) on operational performance.

Cluster analysis is used to classify data collected from Thai manufacturing firms into three business strategy clusters of cost leadership, differentiation, and focussed strategy. Next, multiple-regression analysis was used to test the relationships between operations management practices and performance in each of the three strategy clusters.

Results show that all three operations management practices were significantly associated with performance including the interaction of TQM and SCM. Also, the interaction of LEAN and SCM significantly affected performance for firms pursuing focussed business strategy.

Manufacturers in developing nations can use this result to deploy appropriate operations management practices to enhance their competitive edge.

This study explores the cross-functional alignment between strategies and practices, which have been transferred from developed to developing countries.

The purpose of this paper is to provide a micro-level, human-activity-centred interpretative framework for the way operations strategy is formed, linked and aligned with corporate-level strategies, and to apply it to gain insights on these processes.

Relying on the theoretical foundations of social practice theory and actor-network theory, as well as on the analysis of the organisational realities of the operations strategy formation process embedded in pluralistic organisational contexts, a conceptual framework for analysing the production and alignment of operations strategy is developed. The framework is then used to guide field research for the analysis of an operations-led strategic initiative in a medium-sized agro-food company.

Operations strategy formation can be interpreted as an ongoing practical, distributed social activity of network (re)formation. Specific initiatives, or events, act as catalysts for the association of operations strategy formation practices with corporate-level ones, facilitating thus the current and future alignment of strategic content. Artefacts play an active role in the linking process.

The research presented in this paper is pioneering as it is the first explicit consideration of operations strategy formation (process) as practical social activity (practices are the focus of analysis, not individuals’ choices), in which non-human agency (informational artefacts, etc.) is explicitly taken into account. For this purpose, a novel analytic framework was developed, which, however, need to be further tested to determine the exact conditions under which it is valid.

The framework improves the understanding of the organisational dynamics of operations strategy formation, its linking with, and institutionalisation in, other organisational processes and strategic discourses. Thus, it can assist in the analysis of operations-led strategic initiatives.

Application of the results obtained can provide better workplaces.

For the first time: operations strategy formation is considered as a social activity by focusing on the strategists and managers’ practices; the role of documents, decision-support tools and other artefacts is surfaced; and the importance of introducing operations strategy formation practices carrying strategy content into corporate and business-level strategy processes and their role in the alignment of the two strategies is emphasised.

Quality management (QM) practices have long been suggested as a package to improve the quality performance of a company. Yet, empirical studies offered little support of this perspective as only a small set of QM practices were found to be conductive to quality improvement. By taking a new approach, the purpose of this paper is simultaneously evaluate the individual and synergistic effects of several key quality practices on operations performance.

Survey data were collected and used to test the proposed hypotheses. Hierarchical regression analyses were performed to assess the magnitude of synergistic effects and individual effects.

It is found in this study that the synergistic effects across QM practices are substantial in enhancing all operations performance dimensions whereas individual effect varies for different performance goals.

This study makes theoretical contributes to the field of QM by providing empirical support of the interdependence assumption of QM practices and resolving the inconsistent findings. Practically, the results suggest that in-depth implementation of various QM practices simultaneously can be highly effective to achieve performance improvement on all accounts. In addition, the positive additional individual effects also open up a firm’s strategic choices of where to focus the resource investment in the adoption process as long as the strategic focus can justify its contribution toward the desired performance goals.

Rolling out lean operations practices in MNCs’ plants is a complex knowledge transfer process whose design and implementation, though critical to operations performance, to date has not been investigated by operations management, international business, strategy, and organizational design research. Applying conceptual tools drawn from various theoretical approaches to knowledge management, transfer and diffusion, this exploratory study: (a) classifies and interprets lean roll-out processes in MNCs, framing them in terms of (i) knowledge replication strategies (template vs. principles-based), (ii) decentralization of decision making (degree of plant autonomy), and (iii) type of organizational ambidexterity (structural vs. contextual) underlying the process; (b) develops, through seven case studies of lean roll-outs in MNCs’ plants, three testable propositions about what might enhance the lean roll-out process performance, arguing about the individual and combined effect of the three above mentioned dimensions on lean roll-out effectiveness and efficiency. We posit that an approach characterized by principles-based knowledge replication, larger decentralization, and prevalence of contextual ambidexterity positively impacts on roll-out process performance.

Adopting a knowledge-based perspective, the purpose of this paper is to investigate the roll-out process of lean production systems and explores the dimensions that might enhance or hinder its performance. It develops a framework to understand and design lean roll-out processes, identifying the research dimensions/design variables to classify and interpret such processes.

This exploratory multiple case study analyses seven lean roll-out processes in multinational companies’ plants. An original data set, developed on the basis of a purposely design research protocol, was built through two rounds of plant visits and structured interviews. The cross-case analysis compares and contrasts the lean roll-out processes according to the research dimensions constituting the framework.

The effectiveness and the efficiency of the lean roll-out processes: first, negatively co-vary with the degree of lean knowledge codification; second, positively co-vary with the degree of autonomy of the plant; third, positively co-vary with the degree of contextual ambidexterity. Moreover, lean roll-out processes characterized by principles-based knowledge replication strategy, plant autonomy and contextual ambidexterity are comparatively more effective and efficient.

This is an exploratory qualitative study that develops propositions potentially testable in larger scale, more analytical research.

This study provides a tentative roadmap to successfully approach the roll-out of lean production systems in complex organizations.

This study challenges the current theory and practice which implicitly assumes that lean roll-outs take place linearly, cascading a set of predefined lean operations practices. Instead, the authors show that a less codified, more decentralized and contextually ambidextrous approach might be more effective.

The purpose of this paper is to identify the best practices in the green operations strategy of hospitals.

A total of 25 cases from all over the world were investigated. The source of data was the annual sustainability reports that were retrieved from Global Reporting Initiative (GRI) database. The present research adopted the benchmarking method and the quantitative content analysis of sustainability reports. Then, the indicative models of best practices were developed by using two analysis approaches; within cluster analysis and across clusters analysis.

This study found four major taxonomies of green operation strategy in hospitals. The significant strategic groups were resources/waste management; electrical power management; non-hazardous waste management; and emissions/resources management. Indicative models for the relationship between actions and key green performance indicators were developed in the two stages of the analysis.

The best practices of green operations strategies in hospitals have not so far been investigated. Countries around the world should obey the new regulations for their environmental footprint; if they do, it will exert pressure on all sectors and organizations at all levels to take immediate steps to measure and improve their environmental performance.

The techniques that help organisations implement leading edge cost and quality practices in manufacturing operations management are typically disparate and generic in nature. There is a need to identify integrated practices at the right level of granularity, based on a clear definition of the existing operations practices. This paper proposes a novel framework for achieving and maintaining good cost and quality operations management practice within a manufacturing environment.

The framework uses a new approach for identifying the profile of current activities and better practice activities for the roles of team leaders, cell leaders and operations managers within a manufacturing company.

The paper proposes a recommended set of context‐specific activities for these roles. These recommended activities are utilised to develop a cascade of deployable recommendations.

The framework is illustrated within a manufacturing environment producing complex product ranges. The implementation of the framework enables improved operational efficiency and effectiveness. It also enables the benefits of improved operational standardisation and consistency.