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This study aims to examine the formal and metric properties of Gil et al.’s (2000) scale of attitudes toward organic products, which is the most popular scale to measure these attitudes.

The sample consisted of 4,992 household shoppers living in Hong Kong, Germany, Norway, Spain and the UK. The questionnaire was distributed using a third-party consumer panel, and the fieldwork was conducted using computer-assisted Web interviewing. The approach was based on confirmatory factor analysis and measurement of invariance, as well as format analysis using a wording-syntactic and semantic descriptive method.

The scale reflects an attitude-toward-object model approach. Its use has been heavily varied (in terms of wording, item semantics and the attributes to be measured). A two-factor structure that meets the metric conditions (reliability and validity) is found. However, the analysis of invariance shows that the scale behaves differently in different countries.

This scale offers a good starting point for measuring attitudes toward organic products. However, it requires refinement to adapt to consumer evolution and improve its metric validity. Verification of its applicability in cross-national studies is recommended.

To the best of the authors’ knowledge, this is the first study that assesses the format and quantitative characteristics of this scale on a cross-national level. For scholars and companies with international interests, preventing the use of scales with poor properties at the transnational level can improve the design of future studies and save money through a more informed choice of attitudinal scale.

Este estudio examina las propiedades formales y métricas de la escala de actitudes hacia los productos orgánicos de Gil et al. (2000), que es la escala más popular para medir estas actitudes.

La muestra incluye 4.992 compradores principales en hogares de Hong Kong, Alemania, Noruega, España y el Reino Unido. El cuestionario se distribuyó utilizando un panel de consumidores, y el trabajo de campo se llevó a cabo mediante entrevistas online asistidas por ordenador. El enfoque se basó en un análisis factorial confirmatorio y en la invariancia de las medidas, así como en un análisis del formato utilizando un método descriptivo de redacción-sintáctico-semántico.

La escala refleja un enfoque de actitud basada en el objeto. Su uso ha sido muy variado (en redacción, semántica de sus redacciones y los atributos que mide). Se encuentra una estructura de dos factores que cumple con las condiciones métricas (fiabilidad y validez). Sin embargo, el análisis de invariancia muestra que la escala se comporta de manera diferente en distintos países.

Esta escala ofrece un buen punto de partida para medir las actitudes hacia los productos orgánicos, pero requiere un refinamiento para adaptarse a la evolución del consumidor y para mejorar su validez métrica. Se recomienda verificar su aplicabilidad en los estudios internacionales comparados.

Este es el primer estudio que evalúa el formato y las características cuantitativas de esta escala a nivel internacional. Para los académicos y las empresas con intereses internacionales, evitar el uso de escalas con propiedades deficientes a nivel transnacional puede mejorar el diseño de futuros estudios y ahorrar dinero a través de una elección más informada de la escala actitudinal.

Actitudes, Productos orgánicos, Estudio transnacional, Análisis factorial confirmatorio, Validación de la escala

Artículo de investigación.

The purpose of this study is to discover the uniqueness of China's online livestreaming industry and to make preliminary predictions about its future.

Providing a panoramic description of China's online livestreaming industry and a comparative analysis with other countries' online livestreaming industries.

China's online livestreaming industry is world leader in general. In terms of user size and age structure, although China has a high proportion of online livestreaming users, the proportion of anchors is not high, while the age structure of users in both China and other countries shows the characteristics of younger users. In terms of policy, the difference between China and foreign support in online livestreaming is small, but developed countries have stricter regulations.

The research in this paper has great significance in gaining an in-depth understanding of the development status and trends of China's online livestreaming industry and in designing accurate support policies.

The purpose of this paper is to observe how to invest in upper-middle income countries via an innovation perspective following global innovation index (GII) by multicriteria decision aid (MCDA) approach, once MCDA was designed to support subjective decisions.

Pearson’s correlation was the milestone for understanding innovation indicators at upper-middle income countries profiles. In a MCDA first step, the analytical hierarchy process (AHP) was applied to obtain the criteria weight. In this step, the judgments or evaluations inputted in AHP were collected from a sample composed by five experts in GII. After getting the criteria weights compose to GII, Borda and Preference Ranking Organization Method for Enrichment Evaluations (PROMÉTHÉE) methods were applied to obtain an MCDA-based GII. The inputs for this second step were: the weights come from AHP output; and the countries performance came from GII data.

As a result, it was found out the upper-middle countries’ rank to invest and groups with countries acting like “hubs” or “bridges” for economic sectors in near countries; when they are grouped according to their maximum and minimum scores profiles, observing not only a particular region but also similar profiles at diverse world areas.

Pearson-AHP-PROMÉTHÉE works as a supportive decision tool for several and complex investment perspectives from criteria and alternatives analysis regarding innovation indicators for upper-middle income countries. This combination also demonstrates grouping possibilities, aligning profiles and not only ranking countries for investment and eliminating others but also grouping countries with similar profiles via innovation indicators MCDA combined application.

Cesspits are the means for each house to dispose of wastewater in the Bani Kinanah District (BKD) of Jordan, which creates severe environmental complications. This research aimed to find a suitable site for a wastewater treatment plant (WWTP) in BKD.

Geographic Information System (GIS)-based multicriteria decision analysis (MCDA) was used for an optimal site selection for a sewage treatment plant. Several datasets were obtained to prepare the maps of the criteria influencing the choice of the most suitable site for the WWTP. The analytic hierarchy process was used to apply the weights for each factor.

Five classes of suitability were generated: 0.23% very high suitability, 8.49% high suitability, 47.12% moderate suitability, 37.67% low suitability and 6.49% very low suitability. According to Analytical Hierarchy Process (AHP) results, the elevations, slope and groundwater depth have high importance; where their weights 21%, 19% and 17%, respectively. The most suitable site for establishing a WWTP was found in the northern part of the study area, where it is characterized by relatively low elevations (−90 to −93 m), low slope (0–2.5 %), distance from groundwater level (47–82 m) and the space is sufficient for building the plant (25328 m², 8861 m² and 8586 m²).

This research is limited by the availability of data.

The research is invaluable for decision makers involved in urban planning.

Wastewater treatment plants are essential for communities with limited resources such as Jordan. It has also profound impacts on the surrounding environment.

From the present study, it can be concluded that GIS is essential in urban utility establishment, like urban domestic wastewater treatment site selection. Although the study area has adequate potential areas for establishing WWTP, further assessment of flood vulnerability, wastewater amount quantification, population growth and urban expansion must be seriously considered before implementation.

This study aims to develop a valid and reliable Islamic financial literacy (IFL) scale that can capture all the segments of the Islamic financial sectors and which could be considered applicable for all jurisdictions across the globe.

To build the measure, this study followed a scale development process by collecting 698 a priori items from 81 respondents. Later, it generated an item pool through the analysis of the items with experts and gave the last form (40 items) to 287 respondents in Turkey with another IFL scale that is frequently used in the literature and a scale assessing religiosity. With explanatory factor analysis, the scale demonstrates a four-factor construct with 20 items. This construct provides good fit indexes and reliability scores.

Results of the correlation analysis and comparison of the fit indexes of alternative structures provided supportive evidence for discriminant and convergent validity of the scale and its sub-dimensions. As a result, an applicable scale is developed for countries where Islamic financial institutions are operating and where they are not.

One of the strengths of this study is that it represents a comprehensive scale development for the entire Islamic financial system, including banking, takāful (Islamic insurance) and fund management. In addition, the attempt to design an IFL scale applicable to any economy or individual is a pioneering attempt in the literature.

Because of the significant differences in the features and requirements of specific products and the capabilities of various additive manufacturing (AM) solutions, selecting the most appropriate AM technology can be challenging. This study aims to propose a method to solve the complex process selection in 3D printing applications, especially by creating a new multicriteria decision-making tool that takes the direct certainty of each comparison to reflect the decision-maker’s desire effectively.

The methodology proposed includes five steps: defining the AM technology selection decision criteria and constraints, extracting available AM parameters from the database, evaluating the selected AM technology parameters based on the proposed decision-making methodology, improving the accuracy of the decision by adopting newly proposed weighting scheme and selecting optimal AM technologies by integrating information gathered from the whole decision-making process.

To demonstrate the feasibility and reliability of the proposed methodology, this case study describes a detailed industrial application in rapid investment casting that applies the weightings to a tailored AM technologies and materials database to determine the most suitable AM process. The results showed that the proposed methodology could solve complicated AM process selection problems at both the design and manufacturing stages.

This research proposes a unique multicriteria decision-making solution, which employs an exclusive weightings calculation algorithm that converts the decision-maker's subjective priority of the involved criteria into comparable values. The proposed framework can reduce decision-maker's comparison duty and potentially reduce errors in the pairwise comparisons used in other decision-making methodologies.

The authors aim to demonstrate the impact of allowing for unequal intra-household distribution of resources on income poverty and income inequality.

The paper applies a collective consumption model to study the intra-household distribution of resources in Visegrád countries (V4). It utilises subjective financial satisfaction as a proxy for indirect utility from individual consumption to estimate the indifference scales within couples instead of the traditional equivalence scale. The European Union Statistics on Income and Living Conditions (EU-SILC) 2013 and 2018 data are applied.

This study’s results indicate substantial economies of scale from living in a couple that are generally higher than implied by the commonly applied equivalence scale. The sharing rule estimates suggest that at the mean of distribution factors, women receive a consumption share between 0.4 and 0.6; however, some of the results are close to an equal sharing of 0.5. The female consumption share rises with her contribution to household income. Regarding income poverty and inequality, the authors show that both these measures might be underestimated in the traditional approach to equal sharing of resources.

The authors add to the empirics by estimating indifference scales for Czechia (CZ), Hungary (HU), Poland (PL) and Slovakia (SK), countries that have not been involved in previous research.

The purpose of this study was to develop an easy-to-use, theoretically well-founded and psychometrically sound assessment tool of the concept co-workership.

Firstly, inductively generated examples of favourable and unfavourable co-worker behaviours were collected, clustered and then expressed as frequency-based Likert-type scale items. Data were obtained from 825 Swedish white collar workers and military personnel. A factor analysis (principal axis factoring with oblique rotation) resulted in a seven-factor solution built up by 30 items and forming the instrument Co-Worker Questionnaire (Co-Worker Q).

The factors have a strong resemblance to the content of dominating models of leadership, followership, organizational citizenship behaviour and leader–member exchange. The factor scales had relatively high reliability (high Cronbach’s alpha coefficients and low standard errors of measurement). Regarding discriminability, women scored more favourably on five of the factors, men on one factor and age differences were noted on two factors.

Shortcomings include the lack of data on possibly related aspects including person factors, such as personality and socio-economic status, and contextual factors such as more detailed data on the type of work environment and organizational culture.

The instrument has an easy-to-use format and can be used in organization development interventions with a co-workership focus and in individualized coaching or mentoring programmes.

The co-workership concept has so far mainly been used in the Nordic countries. The development of the Co-Worker Q opens up for broader applications.

The main aim of the study was to measure and assess the efficiency of the healthcare system in Poland.

An output-oriented Data Envelopment Analysis model with a 2-years window analysis extension was used between 2013 and 2018. The analysis was completed with a determination of the sources of productivity changes (between the first and last year of the study period) and factors that influence efficiency.

Efficient regions have been identified and the spatial diversity in their efficiency was confirmed. The study identified individual efficiency trends together with “all-windows” best and worst performers. Using panel modeling, it was confirmed that the efficiency of health protection is influenced by, among others, accreditation certificates, the length of the waiting list or the number of medical personnel.

Although the analysis was conducted at the voivodeship level (NUTS2), which was fully justified, it would be equally important to analyze data with a lower aggregation level. It would be extremely valuable from the perspective of difficulties faced by the healthcare system in Poland.

The identification of areas and problems affecting the efficiency of the healthcare system in Poland may also be a hint for other countries with similar system solutions that also struggle with the same problems.

The paper explains the efficiency of the country's healthcare system while also paying attention to changes in its level, factors influencing it, spatial diversity and impact on the sector functioning.

This study examined the psychometric properties of intention to drop out and study satisfaction measures for first-year South African students. The factorial validity, item bias, measurement invariance and reliability were tested.

A cross-sectional design was used. For the study on intention to drop out, 1,820 first-year students participated, whilst 780 first-year students participated in the study on satisfaction with studies. Confirmatory factor analysis (CFA), differential item functioning (DIF), measurement invariance and internal consistency were used to test the scales.

A one-factor structure was confirmed for both scales. For the intention to drop out scale, Items 3 and 4 were identified with statistically significant item bias; however, these differences had no practical impact. Except for scalar invariance for language, sufficient measurement invariance was established. No problematic items were identified for the study satisfaction scale.

In essence, this study provides evidence of two short measures that are culturally sensitive that could be used as short and valid measures across contextual boundaries as practically valuable tools to measure intention to drop out and study satisfaction in diverse and multicultural contexts.

This study contributes to limited research on bias and invariance analyses for scales that can be used in interventions to identify students at risk of leaving the university and utilising psychometric analyses to ensure the applicability of these two scales in diverse and multicultural settings.