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The purpose of this paper is (1) to review, analyze and assess the existing literature on lean tools selection studies published from 2005 to 2021; (2) to identify the limitations faced by previous studies; and (3) to suggest future works that are necessary to facilitate the selection of lean tools.

A systematic approach was used in order to identify, collect and select the articles. Several keywords related to the selection of lean tools were used to collect articles from different Scopus indexed journals. Next, the study systematically reviewed and analyzed the selected papers to identify the lean tools' selection method and discussed its features and limitations.

An analysis of the results showed that previous studies have adopted two types of methods for selecting lean tools. First, there are various traditional methods being used. Second, multi-criteria decision-making (MCDM) methods were commonly used in previous studies, such as the multi-objective decision-making method (MODM), single multi-attribute decision-making (MADM) methods and hybrid (MCDM). Moreover, the study revealed that the lean tools' selection methods in previous studies were based on evaluating the relationship between either lean tools and performance metrics or lean tools and waste, or both.

In terms of its theoretical value, the study is considered as an extension of the previous researches performed on this topic by determining and analyzing the features of the most selection methods of lean tools. Unlike previous review papers, this review had considered discussing and analyzing the characteristics and limitations of these methods. Section 2.2 of this paper reviewed some of the categories of MCDM methods as well as some of the traditional methods used in the selected previous studies. Section 2.1 of this paper explained the concept of lean management and its application benefits. Further, only three sectors were covered by the previous studies in this review paper. This study also provided recommendations for future research. Therefore, it provided researchers with a good conception of how to conduct the studies on lean tools selection. Besides, knowing the methods used in previous studies can help researchers develop new methods to select the best set of lean tools. That is, this study provided and advanced the existing knowledge base for researchers concerning lean tools selection, especially there is limited availability of review papers on this topic. Moreover, the study showed researchers the importance of the relationship between lean tools and indicators or/and performance indicators to determine the appropriate set of lean tools so that the results of future studies will be more realistic and acceptable.

Practically, manufacturers face a significant challenge when selecting proper lean tools. This study may enhance managers, manufacturers and company's knowledge to identify most of the methods used to choose the best set of lean tools and what are the advantages, disadvantages and limitations of these methods as well as the latest studies that have been adopted in this topic. That means this study can direct companies to prioritize the application of lean tools depending on either the manufacturing performance metrics or/and manufacturing wastes so that they avoid incorrect application of lean tools, which will add more non-value added activities to operations. Therefore companies can decrease the time and cost losses and enhancing the quality and efficiency of the performance. Correctly implementing the best set of lean tools in companies will lead in general to correctly applying lean management in corporations. Therefore, these lean tools can boost the economic aspect of companies and society through reducing waste, improving performance indicators, preserving time and cost, achieving quality, efficiency, competitiveness, boosting employee income and improving the gross domestic product. The correct lean tool selection reduces customer complaints and employee stress and improves work conditions, health, safety and labor wellbeing. Besides, the correct lean tools selection improves materials usage, energy usage, water usage and decreases liquid wastes, solid wastes and air emissions. As a result, the right selection of lean tools will have positive effects on both the environment and society. The study may also encourage manufacturers and researchers to adopt studies on lean tools selection in small- and medium-sized companies because the study referred to the importance and participation of these kinds of companies in a large proportion of the economy of developing countries. Further, the study may encourage some countries that have not previously adopted this type of study, academically and industrially to conduct lean tools selection studies.

As mentioned previously, the correct lean tool selection reduces customer complaints and employee stress and improves work conditions, health, safety and labor wellbeing. The proper lean tools selection improves materials usage, energy usage, water usage and decreases liquid wastes, solid wastes and air emissions. As a result, the right choice of lean tools will positively affect both the environment and society.

The study expanded the efforts of previous studies concerning lean management features. It provided an accurate review of most lean tools selection studies published from 2005 to 2021 and was not limited to the manufacturing sector. It further identified and briefly described the selection methods concerning lean tools adopted in each paper.

In recent years, several performance indicators have been proposed in humanitarian supply chains (HSCs). Selecting the most relevant key performance indicators (KPIs) is challenging for some humanitarian organizations (HOs) because it involves a considerable amount of complexity and information overload which could lead to judgment biases in the decision-making process. Existing performance measurement studies lack critical analysis for prioritization of performance indicators. Since the process of KPIs selection and categorization is a complex, domain based and subjective process, a systematic guideline is needed. To address this gap, the purpose of this paper is to propose an integrated performance measurement scheme that can consolidate KPIs into an overall performance score based on the weighting of the performance indicators in HSCs.

Data collection was based on questionnaire surveys and direct interviews with practitioners from international HOs.

This paper proposes an integrated scheme based on balanced scorecard and analytic hierarchy process for performance evaluation of HOs.

The respondents were limited to the humanitarian logistics experts from Malaysian-based international HOs.

The scheme enables the benchmarking of HOs’ performance that could be useful for decision makers in HSCs.

This paper provides the ranking and prioritization of KPIs in HSCs. The approach presented in this paper enables an effective and integrated performance measurement in HSCs.

This study investigates information quality, information security technology and information sharing with moderation by information security culture and information leakage and how they all play out to influence supply chain performance for contract suppliers (Contract), noncontract suppliers (Noncontract) and pooled suppliers (Contract and Noncontract combined).

Multigroup analysis was deployed to compare the impact on Contract and Noncontract.

The finding on pooled suppliers confirmed the hypothesis that, in the multigroup analysis, information security culture negatively impacted the information quality–information sharing relationship of Contract.

The practical learning point is that Noncontract could still share information and perform and in some instances better than Contract. Noncontract suppliers are still workable.

Information security culture motivated Noncontract to share and perform better than Contract. This result presents a dilemma.

This paper aims to study the effect of knowledge management in formulating competitive strategies for knowledge-based small- and medium-sized enterprises (SMEs) in Malaysia.

A quantitative approach of a survey was carried out on 135 owners and managers of knowledge-based SMEs in Malaysia. Structural equation modeling technique was used to investigate the relationship between knowledge management and competitive strategies. SmartPLS software is used to analyze the quantitative data. Only SMEs which are involved in R&D and innovation were selected to get the right respondents who meet the objective of the study.

The findings show mixed results. Most dimensions of knowledge management have significant relationships to differentiation strategy except for knowledge creation and knowledge acquisition, with only knowledge acquisition showing a significant relationship to cost leadership. Findings reveal that knowledge management has a positive effect on competitive strategies with more inclination toward differentiation strategy, compared to cost leadership strategy which does synchronize with their commitment in research and development and innovation.

This study is only focused on knowledge-based SMEs in central Malaysia. Second, the use of a survey approach minimized the flow of information.

SMEs do have knowledge management practices but may not be exploiting it well. Mapping knowledge management practices would help SMEs identify their strengths and weaknesses to explore better business opportunities. This proves that SMEs are leveraging their resources through knowledge application, dissemination, storage and protection to be different than their competitors. However, their apparent lack of knowledge in knowledge acquisition and knowledge creation should be addressed accordingly, as it is important for their future continuous sustainability.

This paper contributes to the literature of knowledge management relating to competitive strategies in SMEs. The study offers insights on how competitive strategies were formulated through knowledge management. The mixed results reveal a new different outlook of knowledge management relating to competitive strategies.

The purpose of this paper was to review the indicators for the three aspects (environment, economy and society) of sustainability (the triple-bottom line (TBL) perspective) for manufacturing sectors. In addition, this paper aimed to: document the sustainability indicators for manufacturing sectors; perform an analysis of these indicators to show their evolutional progress and maturity in terms of their consistent, repeated and standardized usage; and highlight the further work needed to make them mature and more standardized.

The following keywords were used to explore and find the relevant articles: sustainable manufacturing evaluation, sustainability indicators, life cycle assessment, tools for sustainability assessment, and economic and social evaluation in industries. To find articles within this sample, the major focus remained on the terms “indicators,” “metrics,” and “performance measures.” This paper systematically reviewed the studies and analyzed the different sustainability indicators from the TBL viewpoint. Following this, the documented indicators were critically discussed along with their evolutional progress and maturity level.

The results showed that solid waste was the least used and immature aspect in the environmental category, whereas the more frequently used and developed indicators were related to material used, energy used and air emissions. Economic assessment was most of the time limited to cost-based indicators. From a social viewpoint, most of the reviewed studies were based on workers and local community and society related indicators rather than consumers-based indicators. From a sectoral viewpoint, comparatively, studies for metal manufacturing industries were more focused on all three dimensions of sustainability. On an overall basis, of the 144 discussed indicators, almost 34 percent (49) were used just once. Comparatively, the usage of indicators was more mature in manufacturing activities of developed countries than developing ones. Moreover, the usage of indicators was more common at the product level than at the other levels.

Unlike previous sustainability indicator sets which were generally long lists of proposed indicators rather than applicable and measurable ones, this paper reported the indicator sets based on studies for manufacturing sectors. Moreover, in contrast to previous reviews on indicators which were mostly based on the environmental dimension, this paper included all three dimensions of sustainability in one comprehensive review while focusing on recent studies published from 2007 to 2017. This paper has explored the recent evolutional progress and maturity of sustainability indicators, and provided insights into their development in manufacturing sectors.

In the last decade, sustainable sourcing decision has gained tremendous attention due to the increasing governmental restrictions and public attentiveness. This decision involves diverse sets of classical and environmental parameters, which are originated from a complex, ambiguous and inconsistent decision-making environment. Arguably, supply chain management is fronting the next industrial revolution, which is named industry 4.0, due to the fast advance of digitalization. Considering the latter's rapid growth, current supplier selection models are, or it will, inefficient to assign the level of priority of each supplier among a set of suppliers, and therefore, more advanced models merging “recipes” of sustainability and industry 4.0 ingenuities are required. Yet, no research work found towards a digitalized, along with sustainability's target, sourcing.

A new framework for green and digitalized sourcing is developed. Thereafter, a hybrid decision-making approach is developed that utilizes (1) fuzzy preference programming (FPP) to decide the importance of one supplier attribute over another and (2) multi-objective optimization on the basis of ratio analysis (MOORA) to prioritize suppliers based on fuzzy performance rating. The proposed approach is implemented in consultation with the procurement department of a food processing company willing to develop a greener supply chain in the era of industry 4.0.

The proposed approach is capable to recognize the most important evaluation criteria, explain the ambiguity of experts' expressions and having better discrimination power to assess suppliers on operational efficiency and environmental and digitalization criteria, and henceforth enhances the quality of the sourcing process. Sensitivity analysis is performed to help managers for model approval. Moreover, this work presents the first attempt towards green and digitalized supplier selection. It paves the way towards further development in the modelling and optimization of sourcing in the era of industry 4.0.

Competitive supply chain management needs efficient purchasing and production activities since they represent its core, and this arises the necessity for a strategic adaptation and alignment with the requirement of industry 4.0. The latter implies alterations in the avenue firms operate and shape their activities and processes. In the context of supplier selection, this would involve the way supplier assessed and selected. This work is originally initiated based on a joint collaboration with a food company. A hybrid decision-making approach is proposed to evaluate and select suppliers considering operational efficiency, environmental criteria and digitalization initiatives towards digitalized and green supplier selection (DG-SS). To this end, supply chain management in the era of sustainability and digitalization are discussed.

In recent years, the balanced scorecard (BSC) has received considerable interest among practitioners for managing their organization’s performance. Unfortunately existing BSC frameworks, particularly for humanitarian supply chains, lack causal relationships among performance indicators, actions, and outcomes. They are not able to provide a dynamic perspective of the organization with factors that drive the organization’s behavior toward its mission. Lack of conceptual references seems to hinder the development of a performance measurement system toward this direction. The paper aims to discuss these issues.

The authors formulate the interdependencies among key performance indicators (KPIs) in terms of cause-and-effect relationships based on published case studies reported in international journals from 1996 to 2017.

This paper aims to identify the conceptual interdependencies among KPIs and represent them in the form of a conceptual model.

The study was solely based on relevant existing literature. Therefore further practical research is needed to validate the interdependencies of performance indicators in the strategy map.

The proposed conceptual model provides the structure of a dynamic balanced scorecard (DBSC) in the humanitarian supply chain and should serve as a starting reference for the development of a practical DBSC model. The conceptual framework proposed in this paper aims to facilitate further research in developing a DBSC for humanitarian organizations (HOs).

Existing BSC frameworks do not provide a dynamic perspective of the organization. The proposed conceptual framework is a useful reference for further work in developing a DBSC for HOs.

The purpose of this paper is to review and analyze the recent sustainability assessment studies in the manufacturing industry from the triple-bottom-line (TBL) perspective. This paper aims to depict the status quo of practical sustainability assessment, summarize the different levels and boundaries of evaluation, and highlight the difficulties and further improvements needed to make the assessment more effective in the manufacturing industry.

Four keywords, namely, sustainability assessment, sustainable manufacturing, TBL and green production, were used to explore and find the relevant articles. First, this paper systematically reviewed the studies and analyzed the different levels and boundaries of sustainability assessment. Following this, the reviewed studies were critically discussed along with their merits and shortcomings.

The review showed that most of the sustainability assessment studies were conducted on product, company and process levels in the manufacturing industry. Nevertheless, there is still a need to focus more on plant and process level assessments to achieve the TBL objectives. Environmental assessment is comparatively matured in manufacturing industries. However, from the economic and social viewpoints, only cost analysis and workers’ safety, respectively, were considered in most of the studies. The economic and social indicators need to be more inclusive and should be validated and standardized for manufacturing industries.

Unlike previous sustainability assessment reviews in manufacturing industries which were mostly based on life cycle assessment, this paper has included environmental, social and economic aspects in one comprehensive review and focused on recent studies published from 2010 to 2017. This paper has explored the recent sustainability assessment trends and provided insights into the development of sustainability assessment in the manufacturing sector.

The purpose of this paper is to present a review on the latest developments, approaches and methods in intellectual capital (IC) performance measurement.

A total of 53 research papers from high-ranking journals concerning the advances in IC performance measurement were thoroughly reviewed and classified to identify the advanced approaches and methods that have been used to evaluate IC performance.

It is clear that the current application of advanced or intelligent methods in IC performance measurement is still at the primary stage. The reviewed approaches mainly focus on two core applications. First is to assist the data collection or data handling process and second is to enhance the result computation process to obtain a more reliable and realistic value that represents the performance of IC.

This study offers a foundation and guideline for the researchers who wish to integrate advanced methods into IC performance measurement based on the reviewed advanced approaches in terms of their respective functions, strengths and limitations. It stimulates the creation of new IC performance measurement models that use advanced approaches to cope with real-life problems and dynamic conditions.

This paper contributes to the literature on IC performance measurement, in light of advances in technology. In general, five advanced approaches were identified, analyzed and discussed. Future research directions were presented to provide new insights for researchers to apply advanced methods in IC performance measurement, together with theoretical and managerial implications.

This paper aims to address the lack of previous studies and to propose a reliable and valid knowledge management performance measurement (KMPM) model for small and medium enterprises (SMEs).

A survey instrument containing 13 constructs and 49 items was initially developed and posted to small and medium-sized consultancy firms in Malaysia. Reliability and validity analysis was performed to ensure the quality of the instrument.

The developed survey instrument was shown to be reliable, valid and suitable to be applied in SMEs to evaluate their knowledge management (KM) performance.

The present study is limited to SMEs in the service sector. The results are not suitable to be generalized to the manufacturing sector or larger organizations without further research.

This study would provide SMEs with a better understanding on KMPM and also a guideline to refer to when measuring their KM performance. Academics can use this study as a basic model to explore KMPM in SMEs and develop new measurement models.

This study is believed to be the first that has scientifically developed and empirically tested the constructs that represent a comprehensive KMPM model tailored for SMEs.