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The research finds how much the different types of capabilities influence the performance outcome of a company. A special focus is put on companies that use projects in their daily work; project-orientation is an expanding field, but their capabilities and influence on performance are not enough investigated. The paper aims to discuss these issues.

Quantitative research setting was applied in EU member country Estonia. Survey was carried out with 189 responses.

Interestingly, project-related capabilities are singly more significant to performance than business capabilities. Capabilities mostly influence financial performance and less project performance (PP). Traditional project time/scope/cost management (iron triangle) and project delivery capabilities significantly influence the variance of outcome indicators. Surprisingly, companies should be careful in aligning projects with strategy and pay great attention to teamwork threats, as these present the most negative influence on the outcome in circumstances where they have been conventional benefit factors.

Estonia is a small and innovative country, which makes results generalizable for similar types of countries worldwide and/or neighboring countries with geographical and cultural proximity.

Companies behave in isomorphic environments (e.g. high competition, short new product development cycle, full of imitations, standardized business models), and therefore companies look for ways how to differentiate. Usually, findings that describe a 5 percent variance of outcome gain attention, variables used in this research provide much higher variance (48-83 percent). Due to constant environmental changes, companies should put more focus on project-related capabilities due to their high impact on performance.

Capabilities are complex and not widely researched empirically from different angles, such as project management. This research takes a comprehensive base by involving a large variety of capabilities, including project-specific capabilities, not only a few common large companies' specific capabilities. The capabilities impact on PP is not yet investigated, also the influence from project capabilities on performance is not thoroughly researched.

In the current customer-driven market, the manufacturers have to be highly responsive and flexible to deliver a variety of products. Hence, to meet this dynamic and uncertain market changes, the production system, which enables the manufacturing of such variety of products should be able to meet such diverse, dynamic changes. Hence, selecting a suitable manufacturing system is a key strategic decision for today's manufacturing organization, which needs to survive in these uncertain market conditions. Hence, the purpose of this paper is to present a decision-making model for selecting the best manufacturing system and also discuss the criteria on the basis of which the management can select the same.

A case of small- and medium-sized company is presented, in which the management is deciding to establish a most suitable manufacturing system. To supplement this, a suitable multi-criteria decision-making model (MCDM), the grey approach is used to analyze manufacturing system alternatives based on various decision criteria to arrive a comparative ranking.

An extensive analysis of grey-based decision-making model described grey decision matrix, grey normalized decision matrix, grey weighted normalized decision matrix and grey possibility degrees for three alternatives revealed that lean manufacturing systems was found to be the most suitable manufacturing system among three alternatives for a given case.

The same study can be extended by including sub-criteria with main criteria for selection of manufacturing system by utilizing two MCDM techniques such as AHP or ANP with Grey approach.

The Grey approach has been discussed in a detailed way and it will be useful for the managers to use this approach as a tool for solving similar type of decision-making problems in their organizations in the future.

Although, the problem of selecting a suitable manufacturing system is often addressed both in practice and research, very few reports are available in the literature of Grey-based decision models that demonstrated its application for selecting a suitable manufacturing systems.

The purpose of this paper is to describe a leanness assessment methodology that takes into account the interaction between lean elements for computing the systemic leanness and for assisting continuous improvement of lean implementation.

Key elements determining the leanness level were identified by reviewing the relevant literature and were structured as a framework. Graph-theoretic approach (GTA) was used as the assessment methodology for its ability to evaluate the interaction between the elements in the developed framework.

Interactions between the lean elements were configured. Application of the proposed GTA for assessing systemic leanness was demonstrated. Scenario analysis was performed and a scale was developed to assist firms in comparing their systemic leanness index.

This paper is unique in developing an assessment approach for measuring the systemic leanness. In addition, this study explains how the implementation of lean thinking (LT) in a value stream can be continuously improved by proposing a systemic leanness index that can be benchmarked. The proposed approach to measure systemic leanness can be tested across different value streams in future for extending its generalizability.

Proposed framework and leanness assessment approach presents an innovative tool for practitioners to capture the systemic aspect of LT. Proposed assessment approach supports practitioners in achieving continuous improvement in lean implementation by revealing the lean elements that need to be focused in future.

Study introduces a new perspective for LT by studying the importance of interactions between the lean elements and by incorporating them to assess the systemic leanness.

This literature review is on advanced computer analytics, which is a major trend in the field of Human Resource Management (HRM). The authors focus specifically on computer-assisted text analysis (CATA) because text data are a prevalent yet vastly underutilized data source in organizations. The authors gathered 341 articles that use, review, or promote CATA in the management literature. This review complements existing reviews in several ways including an emphasis on CATA in the management literature, a description of the types of software and their advantages, and a unique emphasis on findings in employment. This examination of CATA relative to employment is based on 66 studies (of the 341) that bear on measuring constructs potentially relevant to hiring decisions. The authors also briefly consider the broader machine learning literature using CATA outside management (e.g., data science) to derive relevant insights for management scholars. Finally, the authors discuss the main challenges when using CATA for employment, and provide recommendations on how to manage such challenges. In all, the authors hope to demystify and encourage the use of CATA in HRM scholarship.

The purpose of this paper is to investigate how organisational learning (OL) can occur through process improvement (PI) activities, leading to sustained improvements over time in the context of small- and medium-sized enterprises (SMEs).

The authors study PI practices in six engineering-oriented SMEs via interview-based case studies. The authors draw from a range of literature and use an OL conceptual framework informed by Crossan et al.’s (1999) 4I framework as an analytical lens.

The OL perspective provides new insights to conceptualise the nature of PI as a multi-level practice in SMEs. Effective PI practices within SMEs are shown to be consistent with OL concepts, enabling firms to translate individually identified improvement opportunities into organisational-level changes that result in sustained benefits. A new conceptual model is presented that explains how SMEs can learn through improvement activities. The key role of management support, both operational and strategic, is highlighted. It is necessary for management to provide sufficient PI opportunities to enable and sustain beneficial learning.

The study is based on a sample of engineering-oriented SMEs located in the UK. Further case-based, longitudinal, and survey-based research studies with firms of different types will enhance the generalisability of the findings, allowing the confirmation and extension of the new conceptual model.

The findings provide a theoretically underpinned framework for achieving OL in engineering-oriented SMEs through PI activities. The new model highlights the key mechanisms that enable learning from improvement activities. The findings highlight the key role played by management in introducing additional learning opportunities in the form of new business that requires exploratory learning. Without this, the reduction in improvement opportunities reduces the benefits that can be realised from PI.

OL provides a multi-level perspective to understanding how smaller firms are able to undergo systematic improvements and the support required to continually improve.

The purpose of this paper aims at investigating which lean supply chain management (LSCM) practices efficiently improve the supply chain performance.

To achieve that, a cross-sectional survey was carried out with 113 manufacturing companies undergoing a lean implementation. The proposed method combines complementary methods of multivariate data analysis in order to determine which bundles of LSCM practices more efficiently entail improvements on supply chain performance.

The findings justify why some LSCM initiatives may find larger barriers than others, compromising their success due to misguided implementation efforts according to the desired performance improvement.

The empirical examination on the efficiency of LSCM practices with regards to a certain set of performance indicators provides guidelines with respect to LSCM implementation depending on which performance indicators are envisioned for improvement.

Lean thinking (LT) has been implemented in various manufacturing and service sectors. But, only a few published research articles have developed a framework describing the procedure for implementing LT in an educational institute. The purpose of this paper is to develop and demonstrate a framework that can provide a structured procedure for the implementation of LT in an educational institute.

Various LT tools and techniques applicable in educational institute were identified by reviewing the relevant literature. By adopting an action research methodology (ARM) for a time period of 28 months, the processes in a case institute were studied; wastes in the process were identified and various solutions were proposed and implemented.

A comparison of the performance measures before (Batch 1) and after (Batch 2) implementation of solutions provided interesting insights into the effectiveness of LT. In both the batches, absenteeism in the class was found to increase across the terms. But the magnitude of increase was lesser in Batch 2. Results also showed that the number of unfilled seats (poor utilization) in an elective course in the second year of the program drastically reduced in Batch 2. Finally, a framework that can guide LT implementation in educational institutes was proposed.

The current study describes only the initial stages of implementation in an educational institute. Hence, some of the benefits discussed are expected in the long run which can be assessed by carrying out a longitudinal study. Future study can attempt to empirically validate the proposed framework in multiple educational institutes and theoretically explain the reasons behind the results obtained.

ARM can be used as a tool by practitioners to study the behavioral aspects of employees of educational institutes toward LT implementation. The proposed framework and its demonstration can assist employees in educational institutes to implement LT. Positive results obtained in this study can further motivate the educational institutes to consider LT as a potential tool for improving the processes.

This is the first study to develop and validate a framework for structured implementation of LT in the processes of an educational institute. The study is also unique in empirically capturing the impact of LT implementation of an educational institute by analyzing the archived data.

Building on the routine dynamics literature, this paper aims to expand our philosophical, practical and infrastructural understanding of implementing lean production. The authors provide a process view on the interplay between lean operating routines and continuous improvement (CI) routines and the roles of different actors in initiating and establishing these routines.

Using data from interviews, observations and document analysis, retrospective comparative analyses of three embedded case studies on lean implementations provide a process understanding of enacting and patterning lean operating and CI routines in manufacturing SMEs.

Incorporating the “who” and “how” next to the “what” of practices and routines helps explain that rather than being implemented in isolation or even in conjunction with each other, sustainable lean practices and routines come about through team leader and employee enactment of the CI practices and routines. Neglecting these patterns aligned with unsustainable implementations.

The proposed process model provides a valuable way to integrate variance and process streams of literature to better understand lean production implementations.

The process model helps manufacturing managers, policy makers, consultants and educators to reconsider their approach to implementing lean production or teaching how to do so.

Nuancing the existing lean implementation literature, the proposed process model shows that CI routines do not stem from implementing lean operating routines. Rather, the model highlights the importance of active engagement of actors at multiple organizational levels and strong connections between and across levels to change routines and work practices for implementing lean production.

The objective of this research is twofold. First, we aim at identifying the pairwise relationships between Lean Production (LP) practices and Industry 4.0 (I4.0) technologies. Second, based on these results, we propose a framework for Lean Automation (LA) implementation, in which I4.0 technologies are integrated into LP practices.

To achieve that, a cross-sector survey was performed with 147 manufacturers that are undergoing a LP implementation aided by novel information and communication technologies from I4.0. Multivariate data analysis was applied in order to underpin the proposed framework for LA.

Findings indicate that I4.0 technologies are positively correlated with LP practices, providing evidence to bear the proposition of a LA framework that can potentially overcome traditional barriers and challenges of a LP implementation.

As previous studies have approached LA implementation from a narrow perspective or including a limited set of LP practices and I4.0 technologies, the proposition of an integrated framework unfolds a wider range of synergistic implementations that may corroborate to a holistic approach for continuous improvement in the Fourth Industrial Revolution era.

The purpose of this paper is to make a contribution to the benchmarking literature by examining the historical emergence and evolution of benchmarking using the management fashion perspective as a theoretical lens.

The research approach followed in this paper can be characterized as explorative and theoretical. Insights from different data sources have been combined to provide a rich description of the emergence and evolution of benchmarking.

This analysis casts new light on several aspects of benchmarking’s emergence and evolution pattern. The characteristics of the benchmarking idea give it potential as a fashionable management tool. The widespread popularity and longevity of benchmarking can to a large extent be explained by the efforts of various actors to turn benchmarking into an institution.

The paper is explorative and is limited by a reliance on secondary sources.

Although some researchers have noted that benchmarking could be viewed as a management fashion, management fashion theory has, only to a very limited extent, been used as a theoretical lens in the context of benchmarking. This research paper demonstrates that management fashion theory can provide valuable insights for research on benchmarking.