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In the presented research work, the authors fabricated the multiple MS plate (Grade: IS 2062) specimens and applied a novel integrated computational TR_IF_MR_G approach with grey relational analysis (GRA) toward solving weld bead optimization problem in MIG welding procedure. The objective of research is to determine the optimum setting between MIG welding input process parameters, e.g. welding current, open circuit voltage and thickness of plate in attaining high tensile strength with weld bead geometry quality characteristics, e.g. bead width, reinforcement, penetration and dilution in investigating define MS specimens.

The Taguchi's L₉ orthogonal array (OA) design is respected to conduct the experiments on MS plate specimens to attain output objectives. Later, the evaluated multiple output objectives are transformed into single response by applying a novel integrated computational TR_IF_MR_G approach with GRA. Thereafter, the outset of signal-to-noise ratio (S/N ratio) accompanied by ANOVA (Analysis of variance) is explored to optimize objective function.

The computed results are confirmed by conducting the experiments on same identical specimens. The outcome of the confirmation tests yielded an improvement of 0.24454, 0.372486, 0.686635 and 0.4106846 in grey relational grade (GRG), overall ratio index, reference grade and full multiplicative index, respectively, after validating the results.

In the presented work, the authors constructed a novel integrated computational TR_IF_MR_G approach via clustering GRA, overall ratio index (ORI), full multiplicative index (FMI) with GRA-reference grade (RG) and tested as well as applied with Taguchi concept to attain objective of the research work.

This paper aims to apply regression-tree analysis to capture the nonlinear effects of corruption on economic growth. Using data of 103 countries for the period 1996–2017, the authors endogenously detect two distinct areas in corruption quality in which the members share the same model of economic growth.

The authors apply regression tree analysis to capture the nonlinearity of the influences. This methodology allows us to split endogenously the whole sample of countries and characterize the different ways through which corruption impacts economic growth in each group of countries.

The traditional determinants of economic growth have different impacts on countries depending on their level of corruption, which, in turn, confirms the parameter heterogeneity of the Solow model found in other strands of the literature.

The authors apply a new approach to a worldwide sample obtaining novel results.

The purpose of this paper is to study a multi-institutional and multi-layer nature of open data-driven communication processes that provide a collaborative platform to meet the interests of various stakeholders in advancing public sector innovations, namely, government agents, citizens, independent developers, non-governmental organizations, mass media and businesses alike and understand an important role of mutually beneficial public–private partnerships in the area.

This is a case study research, which itself is based on a combinative approach, especially in applying, in a successive order, two methods of investigation, namely, stakeholder and policy analysis. In general, the combination of these two research techniques is useful in understanding the most important collaborative trends in the area and locating key institutional drivers and challenges that open data policymakers face today in implementing related digital collaborative and participatory platforms.

The open data concept could provide a promising collaborative platform to network various e-government stakeholders and accelerate related technology-driven public reforms. The successful implementation of the idea demands a fairly equal contribution from representatives of both public and private sectors of economy. The case has also clearly demonstrated the importance of cooperation with the local non-governmental sector, independent developers and journalists, whose active participation is a key factor for the overall progress of the open data phenomenon, to a greater degree, as a collaborative movement rather than an instrument of public sector innovations.

One of the fundamental limitations of the investigation is that it is a single case study. It explores the development of open data phenomena in the context of such an advanced post-industrial society as Finland. In this regard, in order to support key arguments of the research, it is necessary to compare its findings with the results of similar case studies in other administrative, political and socioeconomic settings, which would open new promising dimensions for future research in this direction.

Policy recommendations are proposed by the author in the discussion section, which could help, for example, to boost information campaigns in popularizing open data technologies and its reuse among independent developers. A lot of unique visualizations and illustrations are presented in the paper to help readers grasp better key ideas of the research. In this respect, the paper is intended for a global professional community of open data experts, e-government specialists, political scientists, journalists, lawyers, students of public policy and public administration and all those who are interested in studying the phenomenon from the perspective of its key stakeholders.

The author of the paper tried to develop a universal framework of case study research that could be used in investigating phenomena of open data not only in Finland but also in the context of other post-industrial societies, especially in analyzing roles of various stakeholders in adopting open data-driven collaborative and civic engagement platforms and startups.

This research presents a first case study that investigates a collaborative potential of open data phenomena from a stakeholder perspective in a more holistic manner, especially in analyzing professional networking platforms and related communication activities that meet the interests of stakeholders as diverse as government agents and journalists, independent developers and academia, charities and businesses in an attempt to better understand the fundamental factors of the open data movement as a collaborative socioeconomic trend.

This study aims to compare the financial performance of the tourism distribution sector between Portugal and Spain, regarding the years 2007 and 2017. It is also intended to determine which variables influence the performance of tourism intermediaries' enterprises.

This is a quantitative study based on financial information available on SABI database, with official data of Spanish and Portuguese enterprises. The final sample gathers 6095 intermediaries (1585 Portuguese and 4510 Spanish) which were analyzed regarding their profitability through DuPont model and an additional variable – size.

The return on equity (ROE) calculation in 2007 and 2017 identifies an increase of 12.8% for Portugal and 19.6% for Spain. Through Spearman's Rho, return on sales (ROS), asset turnover and return on asset (ROA) have a positive association with ROE, but the results about asset on equity and enterprise size did not reveal such precise evidence.

This study intends to reinforce the literature in terms of performance evaluation techniques to be used in this type of enterprises, applying DuPont model. At a practical level, besides aiming the maximization of the enterprise's profit, managers are faced with other financial challenges. Thus, this study provides important indications about aspects that should be considered to improve the enterprise's financial performance, supporting managers' decision making.

Financial studies focusing on the tourism distribution sector are limited. Even less frequent are studies with financial and official data from large samples, representative of the universe under study. The value of this study is based on these two aspects, allowing to strengthen the knowledge about tourism intermediaries and their financial performance, in a comparative approach between two countries.