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The purpose of this paper is to provide valid and reliable constructs for lean manufacturing (LM) for assessing its implementation level in order to target areas of improvement.

Based on an extensive review on LM literature and content validity assessment from practitioners and academicians, nine LM constructs were identified. Measurement items for each construct were developed to become a complete questionnaire. The questionnaire booklets were distributed to large and discrete manufacturing companies in Indonesia. Out of 1,000 survey questionnaires sent, 236 usable responses were returned giving response rate of 23.60 percent. Subsequently, an empirical assessment on the constructs was done by using structural equation modeling approach.

The study identified the valid and reliable LM constructs, consisting of nine LM constructs and 64 measurement items. The study found that all the constructs are complementary and mutually supportive with each other. Indeed, it suggests the holistic implementation of all the LM practices.

Owing the time and resource constraint, this study only involved large and discrete process manufacturing industries in Indonesia. Hence, the generalization of the result is slightly limited. More studies in several different contexts are required.

This study provided a valuable tool for researchers for gaining deeper understanding regarding the LM and its implementation. For practitioners, it is useful to evaluate the degree of LM employment in their companies, to target area of improvement, as well as to take possible actions in attempting to enhance the organizational performance. More importantly, practitioners should adopt all the LM practices in a holistic manner.

This study is the first attempt to develop LM constructs for evaluating the LM implementation in Indonesia.

Drawing on the theoretical concept of organisational fit, this paper questions the relevance of employees' participation in the link between continuous improvement (CI) and operational performance. The literature has long emphasised that to be successful, CI implementation needs to rely on employees' involvement as soon as its inception. This paper argues that this approach is not generalisable.

Based on a database of 330 firms across 15 countries, regression analyses were used to hypothesise that the fit between CI and employee participation is positively associated with operational performance, and that the fit between CI and centralisation of authority is negatively associated with operational performance. The authors also ran a robustness check with polynomial regression analyses and the response surface methodology.

CI–employee participation fit is positively associated with operational performance, suggesting that there is less need for employees to be involved when a firm has scarcely developed CI. Employee participation becomes gradually more relevant as CI progresses. Moreover, the results demonstrate that the CI–centralisation of authority fit is negatively associated with operational performance, suggesting that a top-down management approach with centralised authority is preferable when CI is low, whereas a bottom-up management approach is helpful when a firm has extensively developed CI.

This research draws on the concept of organisational fit to explore the relationships between internal practices in the operations management literature. The authors suggest that managers should dynamically balance the practices of employee participation and centralisation of authority as CI improves. This study highlights that CI has different evolutionary levels that require different managerial approaches and practices.

This paper offers a framework in order to examine the temporal sequences of the activities and decisions of the textile apparel chain and to present the prospects for improvement initiatives throughout the various production and distribution chain phases, whether in terms of technology or of organisation and management. This paper focuses on the methods, techniques and approaches that could be adopted throughout the entire chain in order to obtain a set of coherent improvements to achieve quick response (QR). The fundamental improvement stages are considered to be: reduction of lead times in supplying fabric; reduction of lead times in producing a garment; and innovative relationships with the distributors. The structural and infrastructural changes required for a QR approach are also analysed, and the need for a systemic view of the chain is highlighted.

The purpose of this paper is to study the effects of lean in a longitudinal context. Lean is currently experiencing its second coming. In spite of this, the current body of research on lean is especially lacking in longitudinal studies.

The methodology used in this study is a longitudinal case study. The authors combined elements of multiple-case study and survey research by analyzing interview data on the same 23 Finnish manufacturing firms at three distinct points in time (1993, 2004 and 2010) with a methodology called qualitative comparative analysis (QCA) that is novel to the field.

The “thick” results of our exploratory contingency theoretic analysis suggest that the holistic and adaptive use of lean bundles is effective. It seems that especially the firm status of ownership and the phase of the business cycle exert an impact on successful lean bundle use. There is also evidence that a certain maturation effect takes place within lean bundle use: lean is increasingly being used as a complete management philosophy.

The authors hope that this research encourages researchers to use more QCA in their research, especially with small samples.

This is a unique longitudinal study on the same 23 manufacturing firms and their development. Furthermore, this study opens new avenues for lean theory development, introduces a new methodology to the field and helps decision makers to gain a better understanding of the long-term dynamics of lean.

We studied the relationship between job engagement and systematic problem solving (SPS) among shop-floor employees and how lean production (LP) and Internet of Things (IoT) systems moderate this relationship.

We collected data from a sample of 440 shop floor workers in 101 manufacturing work units across 33 plants. Because our data is nested, we employed a series of multilevel regression models to test the hypotheses. The application of IoT systems within work units was evaluated by our research team through direct observations from on-site visits.

Our findings indicate a positive association between job engagement and SPS. Additionally, we found that the adoption of lean bundles positively moderates this relationship, while, surprisingly, the adoption of IoT systems negatively moderates this relationship. Interestingly, we found that, when the adoption of IoT systems is complemented by a lean management system, workers tend to experience a higher effect on the SPS of their engagement.

One limitation of this research is the reliance on the self-reported data collected from both workers (job engagement, SPS and control variables) and supervisors (lean bundles). Furthermore, our study was conducted in a specific country, Italy, which might have limitations on the generalizability of the results since cross-cultural differences in job engagement and SPS have been documented.

Our findings highlight that employees’ strong engagement in SPS behaviors is shaped by the managerial and technological systems implemented on the shop floor. Specifically, we point out that implementing IoT systems without the appropriate managerial practices can pose challenges to fostering employee engagement and SPS.

This paper provides new insights on how lean and new technologies contribute to the development of learning-to-learn capabilities at the individual level by empirically analyzing the moderating effects of IoT systems and LP on the relationship between job engagement and SPS.

This paper investigates whether adopting continuous improvement (CI) behaviors is related to better radical and incremental product and process innovation performance and identifies whether CI behaviors positively affect respondent perceptions on CI contributions to innovation performance.

Data were collected from 139 firms in Brazil, and cluster analysis was used to identify groups with different CI adoption levels. The nonparametric Wilcoxon–Mann–Whitney test was used to verify differences in innovation performance at companies via manager perceptions on CI and innovation.

Data show that more CI behavior implementation was associated with better product and process innovation performance. Furthermore, companies with more mature CI behavior levels innovate more, which may reinforce CI investments.

Organizational managers focused on innovation should dedicate time to evaluating and developing CI behaviors, and maturing CI philosophies to improve performance. This study can contribute to the literature by offering insights for developing public policies, especially for emerging economies, or for companies seeking to become more competitive, since CI can foster and promote a culture of long-term innovation.

Despite the fact that a relationship between CI and operational performance has already been established, there is still a lack of research that identifies the impacts of CI behavior on innovation. Focusing on CI behavior is important because it can be fostered by various programs and improvement initiatives, highlighting paths for managerial practices and academia. This study was conducted for an emerging economy.

The paper aims to test and validate the complementarity effects on operational performance of two of the main lean manufacturing bundles, just‐in‐time (JIT) and total quality management (TQM). The paper also explores the role played by the human resource management (HRM) bundle as an enhancer of the complementarity between JIT and TQM.

The paper is based on statistical analysis on the high performance manufacturing round III database, a survey that involves 266 plants in nine countries across three different industries (electronics, machinery and transportation components).

The paper proves the existence of complementarity between JIT and TQM and shows the enabling role of HRM on such complementarity.

The paper provides analytical and empirical argumentations showing that JIT and TQM mutually reinforce each other's marginal returns on operational performance. The study also indicates that only those plants characterized by a significant implementation of HRM practices enjoy the complementarity effects of TQM and JIT on operational performance.

The research suggests a pattern of improvements where JIT and TQM have to be implemented hand‐in‐hand to take full advantage of their complementarity. HRM, the soft part of lean initiatives, provides the ground over which complementarity originates, spreading its benefits throughout the organization.

The study represents one of the few attempts trying to operationalize and empirically validate the concept of complementarity. The study also provides original suggestions to practitioners on how to make the most out of lean initiatives.

Business model innovation (BMI) constitutes a priority for managers across industries, but it represents a notoriously difficult innovation, with several challenges, many of which are cognitive in nature. The received literature has variously suggested that one way to overcome challenges to BMI, including cognitive ones, and support the cognitive tasks is using visual representations. Against this background, we aim at offering a contribution to the emerging line of inquiry at the nexus between business models (BMs), cognition and visual representations. Specifically, we develop a new method for visual representation of the BM in support of simplification of the cognitive effort and neutralisation of cognitive barriers. The resulting representation – a network-based representation, anchored on the activity-system perspective and offering complementarity and centrality/periphery measures – allows to visually represent an existing BM as a network (nodes and linkages) of interdependent activities and to express information related to the degree of centrality/periphery of single activities (nodes) with respect to the rest of a BM configuration. This information, we argue, is potentially very valuable in supporting the cognitive tasks involved in business model reconfiguration (BMR). We guide the reader to progressively appreciate how the development of the proposed method for visual representation is anchored to two main characteristics of BMR, namely the discovery-driven nature of BMR and the path-dependent nature of BMR. We offer initial insights on the cognitive value of such a type of representation in relationship to the simplification of the cognitive effort and the neutralisation of cognitive barriers in BMR.

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.

This paper aims at enriching the literature on international business (IB) studies to include insights from Global Value Chain (GVC) analysis to better explain how MNCs can orchestrate a global network organization. A first important contribution of the GVC literature is that it shifts the focus from single firms to their value chains, providing instruments to study how activities are split and organized among different firms at the industry level, and how MNCs can implement different governing mechanisms within a network-based setting. The GVC literature also highlights that retailers (as global buyers) often act as ‘lead firms’ in shaping the trajectories of global industries, while IB studies have so far focused predominantly on manufacturing firms. A fine-grained analysis of alternative forms of governance characterizing value chains can offer additional elements in explaining how MNCs can manage their network relationships in a global scenario. Finally, through their focus on upgrading, GVC studies suggest that knowledge flows and innovation dynamics taking place within value chains are as important as those taking place within the MNC’s organizational border. We conclude by arguing that these insights can help the IB literature to examine the challenges and opportunities MNCs face in engaging with suppliers and to explain the dynamic evolution of orchestrating global activities at the global level.