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InfoTorg, a leading Swedish online service, was one of the first online services in Sweden to offer wireless access via wireless application protocol (WAP) to some of its services and databases. Experiences from this work as well as from the operation, including customer reactions, are described in this article. Trends as regards the WAP standard, the evolution of mobile phones and microbrowsers are also dealt with. The survey is complemented by a glimpse of the Swedish online market.

The purpose of this paper is to present a register‐based index that could provide a practical tool for gathering information and increasing our knowledge on gender equality at organizational level.

Based on Swedish gender policy and information available in public registers, six variables were chosen. For each variable, a gender gap was calculated as the ratio between the sexes, with the larger figure always treated as numerator. The study population consisted of 11,471 persons in 46 companies working in the computer sector, and 32,151 individuals in 77 companies employed in the grocery production sector.

The results show indices of 1.43‐2.09 for the computer sector and of 1.13‐2.14 for the grocery production sector, both with a normal distribution (one is considered fully gender equal and three least gender equal). Added together, the selected variables provide results that are sufficiently different to enable ranking. The variables vary in importance in the two sectors compared. The smallest index variation was for education and salaries; the largest was for parental leave and the number of men and women employed at the companies.

The index is based on public registers, treats men and women symmetrically, and the results generated by the index are easy to communicate to all stakeholders. This research could provide a useful tool for investigating the extent to which men and women differ in certain variables at company level.

There is substantial research on the experiences, needs and well-being of unaccompanied refugee adolescents, but less is known about existential aspects of their lives. The purpose of the current study is to explore existential meaning-making among unaccompanied refugee children.

The informants in this study are young unaccompanied refugees (n = 30) living in Norway, and young Norwegians (n = 46). The authors undertook a secondary analysis of in-depth qualitative refugee interview data and a quantitative analysis of questionnaire data from Norwegian informants.

Both the refugee youths and the Norwegian youths expressed that social relationships and connections to others were most important for meaning. Moreover, both groups emphasized the importance of relatedness and generativity, i. e. commitment to worldly affairs beyond one’s immediate needs. The main differences between the two groups were related to the significance attached to religion and to loneliness.

The comparison between the two groups is only possible to some degree. Secondary analyses have some limitations, as well as strengths.

The findings may be useful for supporting young refugees, as they provide insights into less-studied aspects of their lives.

The originality of this study lies in the focus on and broad interpretation of meaning, of secondary data analyses, and of comparisons between youths that are refugees versus non-refugees.

The aim of this study is to develop a new multidimensional index to measure export potential of textile firms by using firm-level data.

After a conceptual model, a structural equation model is developed with five dimensions and 27 observed variables based on resource-based view theory. The measurement model is solved by Linear Structural Relations (LISREL) with maximum likelihood algorithm by using data collected from 454 textile firms in Türkiye.

In this study, a new multidimensional index that measures export potential of textile firms is developed. With the proposed model, the export potential of textile firms can be calculated numerically with the five dimensions: Resources, Dynamism, Knowledge, Innovation and Sustainability. The comparison of the output of the proposed model with the control variable, firm’s actual export values, shows a significantly high success ratio of 90.76%.

The model is applicable for textile firms at different export levels, regions and sub-sectors. The Export Potential Index for Textile Industry model is verified by using Turkish textile industry data. The robustness of the model may be increased by verifying the model by using some other countries data. This model can be implemented to other industrial sectors with some modification of the dimensions and variables.

The proposed model will contribute to the firms by calculating their export potential in five dimensions with their own variables numerically. The model will help firms to develop strategies to increase their export potential and to the governmental and industrial organizations to develop incentives policies.

This paper fills the gap in the literature by proposing a multidimensional index that determines a firm’s export potential numerically by using firm-level data.