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This study aims to propose strategies to address the identified major barriers for giving the public open access to government data. The study adopts fuzzy analytical hierarchy process and technique for order performance by similarity to ideal solution (AHP-TOPSIS) to weigh the barriers and strategies, and it subsequently involves experts to identify and weigh the barriers and strategies. A case of Indonesia is used to contextualize the study.

The data were collected using fuzzy AHP-TOPSIS-based questionnaires given to several government representatives who had been working with data and information. The respondents were given sets of pairwise comparisons of which they were asked to compare the level of importance using one to nine fuzzy numbers between barriers and strategies. The data were then calculated using the fuzzy AHP-TOPSIS formula to obtain each weight of the barriers and strategies. The weight is used to prioritize the barrier and strategies.

In total, five barrier categories in the order of importance, namely, legal and privacy; government culture; social; technical; and economic, were identified from 27 barriers. In total, ten strategies of open government data (OGD) adoption were identified and ranked in the order of importance, and they can be grouped into five priorities. Priority 1 is to involve stakeholders in OGD planning and establish an OGD competence center. Priority 2 is to develop a legal compliance framework. Priority 3 is to adopt OGD gradually. Priority 4 is to create a collaboration feature on the portal for stakeholder communication and raise public awareness of OGD. Priority 5, finally, is to conduct training for government officials, develop standard operating practice for OGD management, use standard data formats and provide metadata.

This study provides a perspective from the government’s view. One suggestion for future research is to conduct a study from the public’s perspective to formulate strategies based on the identified citizens’ barriers in using OGD. In addition, cross-country (of different characteristics) studies were required to generalize the findings.

The first strategy of the first priority implies that government institutions should be able to develop a preliminary plan to involve relevant stakeholders in OGD planning, which includes identifying relevant stakeholders and continuously engaging them to participate in the planning phase of OGD. The second strategy in the first priority entails that government institutions should realize an OGD competence center by creating a virtual team whose members are from various backgrounds and who are very knowledgeable about OGD and how to manage OGD in government institutions.

This research provides key strategies to address the main barriers to giving the public open access to government data.

The purpose of this study is to recognize critical barriers for Lean manufacturing practices implementation in small and medium enterprises (SMEs) focusing in the context of a developing economy. The advancement of SMEs is of utmost important for a surge in exports while competing with other countries and these barriers have to be given due importance as they play a major role in stalling the overall development of SMEs.

In this present investigation, 26 barriers to Lean implementation in SMEs have been identified after an extensive study of the literature available on the subject. After that, the influential barriers were investigated through the Analytical hierarchy process-Technique of order preference by similarity to ideal solution (AHP-TOPSIS) method using priority weightage given to them by different experts in their industries. The ranking given to the barriers is based on the AHP-TOPSIS method and has been validated by the sensitivity analysis.

The investigation reveals that for the successful implementation of Lean manufacturing practices, the will of the management, individual will power and contribution of the people matter a lot apart from other barriers such as flexibility, expertise of the people, resources and resistance offered by the people to new programs. The solutions for overcoming these barriers are also provided in this study and a model has been suggested for the same.

This work was devoted to the evaluation of obstacles in the introduction of Lean practices and prioritizing them. But it was limited to the medium- and small-scale organizations located in Northern India. Further studies can expand the scope to the large-scale units in the field. Moreover, the scope of this study was confined to the manufacturing sector. Future studies can extend it to the non-manufacturing environments such as the service sector, health care, etc. This investigation was based on the judgments of industry experts and academicians. Another approach such as Viekriterijumsko kompromisno rangiranje can be used for future investigations.

This study is significant when keeping in mind the contribution of SMEs to a country’s economy, especially in the Indian context.

This study aims to provide a scientific framework for the selection of suitable substation technology in an electrical power distribution network.

The present paper focuses on adopting an integrated multi-criteria decision-making approach using the Delphi method, analytic hierarchy process (AHP) and technique for order preference by similarity to ideal solution (TOPSIS). The AHP is used to ascertain the criteria weights, and the TOPSIS is used for choosing the most fitting technology among choices of air-insulated substation, gas-insulated substation (GIS) and hybrid substation, to guarantee educated and supported choice.

The results reveal that the GIS is the most preferred technology by area experts, considering all the criteria and their relative preferences.

The current research has implications for public and private organizations responsible for the management of electricity in India, particularly the distribution system as the choice of substations is an essential component that has a strong impact on the smooth functioning and performance of the energy distribution in the country. The implementation of the chosen technology not only reduces economic losses but also contributes to the reduction of power outages, minimization of energy losses and improvement of the reliability, security, stability and quality of supply of the electrical networks.

The study explores the impact of substation technology installation in terms of its economic and environmental challenges. It emphasizes the need for proper installation checks to avoid long-term environmental hazards. Further, it reports that the economic benefits should not come at the cost of ecological degradation.

The present study is the first to provide a decision support framework for the selection of substation technologies using the hybrid AHP-TOPSIS approach. It also provides a cost–benefit analysis with short-term and long-term horizons. It further pinpoints the environmental issues with the installation of substation technology.

The purpose of this study is to evaluate the effects of COVID-19 on the Turkish manufacturing sector by using analytical hierarchy process (AHP) and Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) methods on a sectoral basis. In this way, the sectors that had the highest negative effects of COVID-19 will be determined. Thanks to the findings to be obtained as a result of this study, it will be possible for decision-makers to develop strategies that may differ on a sectoral basis at the point of combating the pandemic.

The negative effects of COVID-19 were revealed by a large literature search. The importance levels of the factors determined within the scope of finance, supply, production and workforce were determined by the AHP method. Then, the TOPSIS method was used to determine which sectors were more affected by the COVID-19 pandemic, based on these factors.

The findings of this study obtained reveal that the most important negative effect of COVID-19 was on businesses in terms of reduced sales caused by domestic sales and export. Again, the findings show that the sector most affected by COVID-19 is automotive, which shows that the least affected sector is the pharmaceutical and medical equipment sector.

Primary data was used to determine the criteria weight. Therefore, there is a possibility that the answers are not objectively evaluated. The findings are limited to the criteria that was used, the views of the professionals and AHP-TOPSIS methods. Studies that use more criteria and different decision-making methods can have different results.

The manufacturing sector is at the forefront of the sectors affected by the global bottleneck caused by COVID-19. In this study, the effects of the COVID-19 pandemic on the Turkish manufacturing sector are discussed on a sectoral basis. Studies in the literature have revealed that the effects of pandemics such as COVID-19 vary between sectors. For this reason, it is important to evaluate the effects of COVID-19 from a sectoral perspective. Thanks to this study, it is thought that it will be possible to take measures that may differ between sectors to combat the negative effects of COVID-19.

In this paper, two popular multiple-criteria decision-making (MCDM) methods with hesitant fuzzy logic approach; hesitant fuzzy analytic hierarchy process (hesitant F-AHP) and hesitant fuzzy the technique for order preference by similarity to ideal solution (HF-TOPSIS) are integrated as HF-AHP-TOPSIS to evaluating a set of enterprise resource planning (ERP) alternatives and rank them by weight to reach to the ultimate one that satisfies the needs and expectations of a company.

Selecting the best ERP software package among the rising number of the options in market has been a critical problem for most companies for a long time because of the reason that an improper ERP software package might lead to many issues (i.e. time loss, increased costs and a loss of market share). On the other hand, finding the best ERP alternative is a comprehensive MCDM problem in the presence of a set of alternatives and several potentially competing quantitative and qualitative criteria.

In this integrated approach, the hesitant F-AHP is used to determine the criteria weights, as the hesitant F-TOPSIS is utilized to rank ERP package alternatives. The proposed approach was also validated in a numerical example that has five ERP package alternatives and 12 criteria by three decision-makers in order to show its applicability to potential readers and practitioners.

If the number of the alternatives and criteria are dramatically increased beyond reasonable numbers, the reaching to final solution will be so difficult because of the great deal of fuzzy based calculations. Therefore, the number of criteria and alternatives should be at reasonable numbers.

The proposed approach was also validated in a illustrated example with the five ERP package options and 12 criteria by the three decision-makers in order to show its applicability to potential readers and practitioners.

Furthermore, in literature, to the best of our knowledge, the authors did not come cross any work that integrates the HF-AHP with the HF-TOPSIS for ERP software package selection problem.

The implementation of lean production in small manufacturing enterprises (SMEs) harbors a great deal of barriers on practical, theoretical, financial and organizational sides. In view of this, the purpose of this paper is to explore and prioritize the solutions to overcome these barriers and pitfalls in order to identify a list of the most feasible and efficient solutions on which SMEs must focus to success their lean journey.

First, a review of the published articles along with the interview of some lean experts have allowed to identify 20 barriers grouped into five categories along with 17 solutions proposed to overcome these barriers. Afterwards, an integrated fuzzy Analytic Hierarchy Process-Technique for Order Preference by Similarity to Ideal Solution (AHP-TOPSIS) was proposed to evaluate and rank the solutions of lean implementation in SMEs and overcome its barriers. The AHP is used to determine weights of the barriers as criteria, and the fuzzy TOPSIS method is used to determine the final ranking of the solutions of lean adoption in SMEs.

The top five barriers of lean implementation in SMEs were found to be: lack of management involvement, lack of adapted methodology of lean implementation, short-term vision, fear and resistance to change and lack of understanding of lean. Moreover, the top five solutions to overcome the barriers of lean adoption in SMEs are as follows: commitment and participation of management, adoption of simple measurement and KPIs, development of organizational learning culture, early deployment of lean culture through training and allocation of sufficient time and resources for change.

The findings of this study can provide a basis for researchers and practitioners in order to understand the real reasons of lean failure in SMEs and develop improvement plans to increase its success rate. Moreover, it proposes a more reliable, robust and systematic decision support tool for stepwise implementation of the solutions of lean adoption in SMEs since they lack sufficient resources to address all the solutions simultaneously.

Many developed countries have been using environmental taxes in their economic systems for many years. These taxes have a great impact on reducing the environmental damages of companies and individuals in society. But many developing countries have not used this tool effectively yet, and some countries face barriers to the effective implementation of environmental taxes that make it difficult and unsuccessful. To increase the effectiveness of the implementation of environmental taxes, governments must prioritize barriers and solutions to overcome its barriers. The identified knowledge gap of the pre-literature review is that an overview of the identification which completely considers all barriers and solutions of environmental taxes implementation does not exist. In response to this knowledge gap, this study aims to identify and prioritize the barriers and solutions of environmental taxes implementation.

Ranking the barriers and solutions is a complicated multi-criteria decision making (MCDM) problem that requires consideration of multiple feasible alternatives and conflicting tangible and intangible criteria. This study addresses the prioritization of solutions of Environmental Taxes implementation by proposing hybrid MCDM methods based on the Fuzzy Analytic Hierarchy Process (Fuzzy-AHP) and the Fuzzy Technique for order preference by similarity to an ideal solution (Fuzzy-TOPSIS) under fuzzy environment. Fuzzy AHP is used to determine the weight of each barrier using a pairwise comparison, and fuzzy TOPSIS is used to finalize the ranking of solutions for more effective implementation of environmental taxes.

The results showed that environmental tax reform (ETR) (S3) has the highest value among the solutions for more effective implementation of environmental taxes. The result of the proposed model is validated by performing sensitivity analysis.

This study could foster research on the discussion of these barriers and precise ways of implementing solutions to pay more attention to environmental taxes.

Ratings of solutions can be a guide and help governments to improve the implementation of environmental taxes or even develop this policy by being aware of the ranking of barriers and solutions.

This paper creates a new perspective on the effective implementation of environmental taxes, which is closely related to improving environmental performance and increasing social welfare through improving the tax system.

For the first time, this study comprehensively identifies barriers and solutions for more effective implementation of environmental taxes and ranks them using two MCDM techniques.

The purpose of this study is to rank additive manufacturing (AM) processes for microfabrication using integrated fuzzy analytic hierarchy process (AHP)-technique for order of preference by similarity to ideal solution (TOPSIS).

AM technology selection is formulated as multi-criteria decision-making (MCDM) problem and ranking is obtained using fuzzy AHP-TOPSIS. Five candidate processes considered are laser-induced forward transfer (LIFT), microstereolithography, micro-selective laser sintering (micro-SLS), inkjet, micro 3D printing.

Criteria weights are obtained using fuzzy AHP, and ranking is obtained using fuzzy TOPSIS. The top ranked criteria include material compatibility, geometrical complexity and minimum feature size. The ranking sequence is LIFT > microstereolithography > micro-SLS > inkjet > micro-3D printing.

In the present study, ten criteria and five alternatives are used. In future, additional criteria and alternatives could be considered in line with technological advancements.

The generated ranking enabled the selection of appropriate AM process for microfabrication.

The application of hybrid MCDM approach for ranking AM processes for microfabrication is the contribution of the study.

The purpose of this paper is to find out and highlight the major influential barriers in the implementation of advanced manufacturing technologies (AMTs) in small and medium enterprises (SMEs) of Northern India. The major barriers in the implementation of AMTs in manufacturing industries of Northern India have been critically assessed in this paper.

An ample and reasonable number of small- and medium-scale manufacturing industries of northern India have been surveyed with an aim to find out the barriers in the implementation of AMTs. On the basis of data collected, AHP–TOPSIS method was applied in order to measure the weightage of each barrier in a simple mathematical form.

High cost of AMTs, lack of appropriate financial resources and current processes or procedures are the major barriers that cause hindrance in the path of implementation of AMTs in SMEs.

This investigation was based on the survey followed by judgments of experts in industry and academia; other approaches such as PROMETHEE, WPM, VIKOR, etc., can be applied for investigation. Also, the study can be carried out in different region(s) and parts of the country.

This paper can be helpful in many ways to the management or industrialists of various nations who are on the same path or will follow soon.

SMEs need to address the findings of this research in order to overcome the barriers and successfully implement the AMTs. A model for successful implementation of AMTs by overcoming the barriers has been suggested.

The purpose of this paper is to find most appropriate production strategy for a manufacturing plant by using an integrated interval-valued intuitionistic fuzzy (IVIF) analytic hierarchy process (AHP) and technique for order preference by similarity to ideal solution (TOPSIS) approach.

The applied methodology is a multi-criteria decision making approach consists of AHP and TOPSIS methods with the extension of intuitionistic fuzzy sets.

Results of the application are revealed that using integrated IVIF-AHP & TOPSIS methods are very appropriate for the prioritization of the strategy for the production management for a manufacturing plant. This outcome also is supported by the sensitivity analysis. Results of the sensitivity analysis demonstrate the robustness of the methodology.

To the best of the authors’ knowledge, an integrated IVIF-AHP & TOPSIS methodology is used for the prioritization of production strategies for the first time.