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This study aims to demonstrate the simultaneous effects between inventory leanness and product innovation, with market concentration being a moderator.

Using a large panel data collected from 3071 listed manufacturing enterprises from 2004 to 2021, this research employs a simultaneous system of equations via the three-stage least square method to explore the simultaneous relationship between inventory leanness and product innovation. In addition, the moderating role of market concentration is demonstrated via one four-model system.

As its core, inventory leanness positively impacts product innovation, while product innovation negatively affects inventory leanness. Moreover, there are differential impacts of the leanness of three inventory types on product innovation. Specifically, the inventory leanness of raw material negatively affects product innovation, while the inventory leanness of work-in-process and finished goods positively affect product innovation. Further, moderation analysis highlights that market concentration is a key moderator of this relationship.

Managers should carefully gauge the tradeoffs between inventory leanness and product innovation. Concretely, managers ought to consider the connections between inventory types and product innovation. In addition, managers are suggested to emphasis on market strategy.

This paper not only contributes to the current understanding of inventory leanness by verifying the impact of inventory leanness on product innovation but also investigates the simultaneous relationship between various inventory types and product innovation. Furthermore, it empirically demonstrates the moderating effect of market concentration on the relationship between inventory leanness and product innovation.

For decades, financing constraints have been a major obstacle to corporate performance. Volumes have been written about the probable factors that can help firms alleviate such financial constraints. Nonetheless, empirical evidence concerning the various perspectives on how inventory control may influence financing constraints has been surprisingly scant. Using the resource- and region-based view as theoretical lenses, this study seeks to estimate the relationship between lean inventory, regional financial technology (fintech) and financing constraints.

Utilizing a large-scale sample of small- and medium-sized enterprises (SMEs) in China's manufacturing sector, the authors empirically test their hypotheses by using hierarchical linear regression models with multiple high-dimensional fixed effects.

Results indicate that firms with higher levels of inventory leanness and those located in more fintech-developed regions are less likely to encounter financing constraints. Furthermore, inventory leanness and regional fintech ecosystem development interact with each other to mitigate financing constraints. Moreover, inventory leanness significantly decreases firms' financing constraints when the regional fintech ecosystem is highly developed.

The present research contributes to the literature on the interface of supply chain management and financial management. It also provides managerial implications for policymakers and SME stakeholders.

This study examines whether the behavioral attributes, such as overconfidence, of chief executive officers (CEO) and chief operating officers (COO) affect firm's inventory leanness. If they do, how are they interacting with each other? Moreover, incorporating market competition into the analysis, this study explores how the competition moderates the relationship between managerial overconfidence and inventory leanness.

Using a large panel data of US manufacturing firms between 1998 and 2015, this study measures top managers' overconfident characteristics using stock option information. Then, a panel regression analysis is adopted to test the effects of managerial overconfidence on inventory leanness. Moreover, a moderation model is applied to investigate the interaction effects of market competition.

Firms with overconfident COOs (CEOs), other circumstances being equal, increase (decrease) the inventory leanness as the market becomes more competitive.

The study suggests that firms should understand top managers' behavioral characteristics to manage inventory efficiently. Collectively, CEOs (COOs) tend to increase (decrease) inventory levels due to their overconfidence as the market gets competitive. Firms should establish a systematic process to be reviewed by diverse stakeholders to deal with managerial overconfidence.

This study is an exploratory study that examines whether and how top management's behavioral attribute relates to a firm's operations performance. It underlines that CEO and COO's overconfident characteristics determine the inventory leanness when market competition is considered. Numerous studies on firm-level strategies emphasized the top managers' overconfidence as a key factor. However, behavioral characteristics at the top management level have rarely been studied in operations management fields. Based on the results, scholars could compare and understand the effects of CEO and COO overconfidence to provide insights into inventory management.

This study aims to suggest that firms and stock market investors are more sensitive about inventory leanness when industry information technology (IT) usage is high. First, when industry IT usage is high, a firm's inventory leanness is more responsive to information inputs (cash holding and sales efficiency). Second, when industry IT usage is high, the price-to-earnings ratio (indicative of stock market investors' willingness to pay a premium) is more sensitive to the firm's inventory leanness.

This study highlights the contextual role of industry IT usage during the 1998–2009 lost decade (wherein the steepest falls in manufacturing jobs happened in the USA).

The results highlight the significant contextual role of industry IT usage. In manufacturing industry sectors with high IT usage, (1) inventory levels of firms are more responsive to information inputs and (2) stock market investors have greater appreciation for inventory leanness.

The lost decade, 1998–2009, was a difficult period for the manufacturing industry. Nonetheless, there was variation in stock market valuations of manufacturing firms, with many firms outperforming others. Stock market investors were sensitive to inventory leanness. Firms that positively impressed stock market investors were strategically positioned in high IT usage industry sectors and prioritized inventory leanness. Further, their inventories were sensitive to information inputs – their inventories were leaner in response to improved sales-efficiency and/or shortage in cash.

The purpose of this paper is to examine the effect of inventory leanness on productivity. In particular, the authors explore the moderating role of environmental complexity and the mediating role of risk taking.

In the mediated moderation analysis of the relationship among inventory leanness, risk taking, environmental complexity and productivity, the authors adopt the instrumental variable method to test the hypotheses based on data collected from 1,709 Chinese listed manufacturing firms.

The results show that there is an inverted U-shaped relationship between inventory leanness and productivity. The authors then demonstrate the role of risk taking in mediating this relationship. Furthermore, the authors find that environmental complexity not only negatively moderates the relationship between inventory leanness and productivity, but also negatively moderates the relationship between risk taking and productivity.

Managers should not be excessively pursuing inventory leanness improvements, so as not to damage the ability to increase productivity.

This paper may be the first study to empirically demonstrate the moderating effect of environmental complexity and the mediating effect of risk taking on the inverted U-shaped relationship between inventory leanness and productivity.

While firms in developing countries are increasingly adopting lean practices of inventory management, there is limited evidence showing the impact of lean practices on firm performance in countries such as India. Lean practices improve the financial performance of the firms through superior cost-reduction measures and operational efficiencies. This paper examines the impact of inventory leanness in Indian manufacturing firms on their financial performance.

The authors measure inventory leanness based on stochastic frontier analysis (SLA), apart from using conventional measures available in the literature. The authors analyze the impact of inventory leanness on the financial performance of firms by examining data for 12,334 unique Indian manufacturing firms for the period 2009–2018. The authors present a comparative analysis using different methods of inventory leanness and study the effects on firm performance.

First, the authors find that only 68 industries out of 411 industries follow lean practices, i.e. most industries do not follow lean practices. Second, the estimation results show that there exists a positive relationship between inventory leanness and firm performance. The results suggest that an inverted U-shaped relationship exists between inventory leanness and firm performance for the entire sample. In particular, 17% of the industries in the sample exhibit such a relationship, and it is sufficiently strong to show up in the average regression results for the entire sample.

The authors introduce a novel measure of inventory leanness named stochastic frontier leanness based on the SFA method used in production economics. It measures leanness by benchmarking the inventory levels against the industry “frontier”. Furthermore, the authors conduct an empirical study of the lean-financial performance relationship with a large panel dataset of Indian firms instead of the survey-based methods that were previously used in the literature.

The purpose of this paper is to investigate the relationship between inventory leanness and venture survival, and demonstrate the role of organizational environments in moderating this relationship from three dimensions: environmental complexity, dynamism and munificence.

Using a large panel data of more than 150,000 new Chinese small- and medium-sized enterprises between 2000 and 2007 in the manufacturing sector, the authors employ the method of survival analysis via an accelerated failure time model to explore the non-linear relationship between inventory leanness and the likelihood of survival. Moreover, the moderation model is applied to examine the moderating role of organizational environments.

At its core, this paper demonstrates the inverted U-shaped relationship between inventory leanness and the likelihood of survival. Furthermore, the authors find that environmental complexity and dynamism can negatively moderate this relationship, whereas environmental munificence acts the exact opposite.

Managers need to realize the trade-off between inventory leanness and venture survival. Collectively, more than 90 percent of new Chinese ventures have great potential to improve the likelihood of survival by implementing inventory leanness management. In addition, firms ought to be fully aware of the internal management and the external environments.

This is the first study to confirm the inverted U-shaped relationship between inventory leanness and the likelihood of survival, and empirically verify the moderating role of environmental complexity, dynamism and munificence on this relationship.

This study explores the intricate relationship between inventory leanness, financial constraints and digital transformation in listed Chinese manufacturing firms.

Using a large panel data collected from 2,563 Chinese listed manufacturing enterprises over the period from 2012 to 2021, this research employs the instrumental variable method combined with two-stage least squares estimators to explore the U- shaped relationship between inventory leanness and financial constraints. Furthermore, the moderating role of digital transformation is demonstrated.

Contrary to traditional assumptions, our research uncovers a U-shaped relationship between inventory leanness and financial constraints, indicating that excessive inventory reduction can exacerbate financial constraints. Digital transformation plays a significant moderating role, particularly in highly digitalized environments.

Our findings have practical significance for top managers and policymakers. We advocate for a balanced approach to lean inventory management to mitigating financial constraints. The study emphasizes the pivotal role of digital transformation in alleviating the impact of inventory leanness on financial constraints, highlighting the need for digital transformation strategies.

This research provides a comprehensive analysis of inventory leanness, financial constraints and digital transformation dynamics. It challenges conventional thinking by revealing the nonlinear nature of the inventory leanness–financial constraints relationship. The concept of moderation highlights the moderating effect of digital transformation. This study offers practical guidance for practitioners and policymakers.

The recent Covid-19 crisis has exposed the limitations of inventory leanness (i.e. keeping fewer inventories than expected), leading its followers to question whether it is the end of inventory leanness. This study aims to answer that question from a financial perspective.

This study considers 2019, 2020 and 2021 as the pre-, during- and post-Covid periods, respectively, and compares the financial performance and risks of firms that followed a lean inventory strategy (lean firms) to those that do not (non-lean firms). The sample is drawn from manufacturing firms in the USA, and the data are analyzed using univariate tools (such as a t-test) and multivariate regressions.

The results show that the financial performance of lean firms was better than that of non-lean firms under normal operating conditions in 2019, which continued to sustain during the crisis and post-crisis operating conditions in 2020 and 2021, respectively. Lean firms were also less risky than non-lean firms, except for in 2020, where they were equally risky.

A financial perspective suggests that managers of lean firms who might be thinking of changing over to a non-lean or more conservative strategy in the post-Covid era in relation to their firms' level of inventories do not need to do so unless otherwise required.

This is the very first study that shows the implications of inventory leanness for firms across three operating conditions: pre-crisis (normal business condition), crisis (abnormal business condition) and post-crisis (sub-normal business condition).

Lean implementation is a strategic decision. The capacity of organisation to be “Lean” can be identified before lean implementation by assessing leanness of an organisation. This study aims to attempt developing a holistic leanness assessment tool for assessing organisational leanness.

A neuro-fuzzy leanness assessment model for assessing the leanness of a manufacturing system is presented. The model is validated academically and industrially by conducting a case study.

Neuro-fuzzy hybridisation helped assess the leanness accurately. Fuzzy logic helped to perform the leanness assessment more realistically by accounting ambiguity and vagueness in organisational functioning and decision-making processes. Neural network increased the learning capacity of assessment model and increased the accuracy of leanness index.

The industrial case study in the paper shows the results in telecom equipment manufacturing industry. This may not represent entire manufacturing sector. The generic nature of the model developed in this research ensures its wide applicability.

The neuro-fuzzy hybrid model for assessing leanness helps to identify the potential of an organisation to become “Lean”. The organisational leanness index developed by the study helps to monitor the effectiveness and impact of lean implementation programmes.

The leanness assessment models available in literature lack depth and coverage of leanness parameters. The model developed in this research assesses leanness of an organisation by accounting for leanness aspects of inventory management, industrial scheduling, organisational flexibility, ergonomics, product, process, management, workforce, supplier relationship and customer relationship with the help of neuro-fuzzy hybrid modelling.