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This paper aims to introduce the use of hazards functions for studying the relationship between internationalization and performance in small and medium-sized enterprises (SMEs) from emerging economies.

Hazards functions analysis is applied to a sample of 64 companies, previously grouped into two subsets of manufacturing SMEs from an emerging economy. The first group contains firms that have attained an accelerated internationalization. And the second one those that have followed a sequential internationalization.

The results show strong evidence that internationalization positively affects the probability of a better performance, and therefore more competitiveness of SMEs.

The proposed methodology is an invitation to use models other than linear regression to explain the relationship between internationalization and performance, studying the risk function of poor performance, whose characterization in the lifetime of SMEs. The result of this study clearly illustrates how internationalization affects the performance of SMEs for both those SMEs with accelerated internationalization and those with a sequential process of internationalization.

The implementation of quantitative methodologies, such as the analysis of hazards, has implications in the social practice of research in international business, by inviting the return of data from primary sources, obtained from direct sources, which, although they are not large samples, they are representative, and therefore the results of the well-applied methodology offer powerful and high-reliability information. Irreproducible and non-replicable research results threaten the credibility, usefulness and the very basis of all scientific fields. Studies in entrepreneurship, management and in international business are not exempt from this problem that affects the ethics and credibility of research works.

A literature review is presented exposing the disadvantages of the use of traditional correlation methodologies and proposes the methodology traditionally used in industrial engineering studies of hazard functions as a simple option, free of previous assumptions about the relation between internationalization and performance. Finally, the methodology is subjected to triple testing of conceptualization and measurement of internationalization, performance and the relation between internationalization and performance.

Digital inequality studies claim that social inequalities tend to be replicated online. However, studies have not attempted so far to deeper understand such stratification in immigrant societies regarding the e-government use. This study aims to understand the role of immigration status, gender and country of origin in the e-government use, thereby reflecting what the literature on the sociology of migration refers to as immigrants’ “double” and “triple” disadvantage.

Israel was chosen as a case study because it is an immigration society in which immigrants’ socioeconomic status is usually inferior to that of the native population. The data were attained from the 2017 Israel Social Survey. The population of the study included internet users from the Jewish sector (N = 4,222). Logistic regression was used as the multivariate technique.

The results indicated that immigrant women are disadvantaged in terms of e-government use regardless of their year of immigration. Yet, when the data are segmented by country of origin, only female immigrants from the former Soviet Union show evidence of a triple disadvantage.

The conclusion is that immigrants’ disadvantages in the offline sphere also exist in the online sphere.

Particular categories, which use e-government to a small extent, were identified, serving a call for action for the public officials. They should develop plans to make e-government more accessible to individuals belonging to these categories.

This study incorporates digital and immigrant sociology for the explanation of immigrants’ (online) social inclusion.

During the building designing, it is very important to deal with the fire resistance of the structures. The designed materials for escape routes should be selected to ensure the usability of the structures until the time of escape. Planning affects the glass structures similarly, so these can also be partition walls and load bearing structures, although the latter is less applied on escape routes. The heat protection of the glasses can be improved with heat-protective foils, while fire protection is provided by gel intumescent material.

To research the topic of fire resistance, laboratory experiments were carried out on small-scaled glass elements with thermal protection foil at Budapest University of Technology and Economics at the Department of Construction Materials and Technologies.

Fire protection of small model specimens was tested with blowtorch fire and furnace heat load. During the experiments, six foils were tested. Single pane glass, double layered and triple glazed specimens were tested with blowtorch fire.

Fire protection of small model specimens was tested with blowtorch fire and furnace heat load. During the experiments, six foils were tested. Single pane glass, double layered and triple glazed specimens were tested with blowtorch fire. In case of heat-protected glazing, the foils on the “protected” side of the single pane glass do not have a fire protection effect based on blowtorch fire test. For double glassed specimens, the P35 foil has a perceptible effect, even for the requirements of the flame breakthrough (E, integrity), when the foil is placed on the inner side (position 3) of the second glass layer. The stratification of each triple glazed specimens was effective against blowtorch fire load (3 M, S4&P35), so (EI, integrity and isolation) it can meet the requirements of flame breakthrough and thermal insulation.

The purpose of this paper is to test whether financial analysts’ rationality in making stocks’ earnings forecasts is homogenous or not across different information regimes in stocks’ past returns.

By treating stocks’ past returns as the information variable in this study, the authors employ a threshold regression model to capture and test threshold effects of stocks’ past returns on financial analysts’ rationality in making earnings forecasts in different information regimes.

The results show that three significant structural breaks and four respective information regimes are identified in stocks’ past returns in the threshold regression model. Across the four different information regimes, financial analysts react to stocks’ past returns quite differently when making one-quarter ahead earnings forecasts. Furthermore, the authors find that financial analysts are only rational in a certain information regime of stocks’ past returns depending on a certain return-window such as one-quarter, two-quarter or four-quarter time period.

This study is different from those in the existing literature by arguing that there could exist heterogeneity in financial analysts’ rationality in making earnings forecasts when using stocks’ past returns information. The finding that financial analysts react to stocks’ past returns differently in the different information regimes of past returns adds value to the research on financial analysts’ rationality.

The paper examines the differential impact of various firm characteristics on firm value across various threshold levels of foreign ownership.

Using a panel of 408 Indian publicly listed companies for the period during 2010–2018, a fixed-effect panel threshold regression model is adapted to study the threshold effects between foreign ownership and firm value. Tobin's Q is used as a proxy for firm value.

The study identifies three threshold levels, that is, four threshold regions in which foreign ownership changes its slope considerably. Various firm characteristics impact firm value differently in these four regions.

The study employs observations of the past nine years on variables identified as firm characteristics impacting firm value. Some variables are dropped due to the problem of multicollinearity. The employed variables may not be exhaustive in nature.

The present study implies that there exists no impact of foreign ownership on the value of the firm. Foreign investors invest for financial considerations and not with the objective of governing the firms. The governance effect of foreign investments is negligible, so their activism in the firms needs to be encouraged.

The study employs a novel approach to study the impact of foreign ownership on firm value applying fixed effect panel data threshold regression, considering foreign ownership as a proxy of corporate governance.

This paper aims to focus on a special group of people in family firms in China, the second generation who are returnees, and to study their impact on family ownership and corporate entrepreneurship.

Survey data from China’s private enterprises in 2015 were used to test the hypotheses. Data were collected through a joint effort by the China Federation of Industry and Commerce and the School of Management of Zhejiang University. The authors used a stratified sampling method, and questionnaires were distributed to 12 provinces in East, Central and West China. Two sets of questionnaires were distributed and answered.

Compared with those family firms without second-generation returnees, the relationship between family ownership and corporate entrepreneurship is significantly enhanced in family firms that have second-generation returnees. Furthermore, compared with the second-generation returnees who stay overseas for a short time, returnees who stay overseas longer are more likely to promote corporate entrepreneurship.

This study explores the unique characteristics of second-generation returnees and explores these returnees’ impact on family ownership and corporate entrepreneurship in the Chinese context. This could generate a new value to the family entrepreneurship literature.

Choice under risk has a large stochastic (unpredictable) component. This chapter examines five stochastic models for binary discrete choice under risk and how they combine with “structural” theories of choice under risk. Stochastic models are substantive theoretical hypotheses that are frequently testable in and of themselves, and also identifying restrictions for hypothesis tests, estimation and prediction. Econometric comparisons suggest that for the purpose of prediction (as opposed to explanation), choices of stochastic models may be far more consequential than choices of structures such as expected utility or rank-dependent utility.

The purpose of this paper is to examine the effect of triple-A supply chain and marketing strategy alignment on the performance by collecting and analyzing data from the textile industry in Egypt.

A research model is proposed which describes the impact marketing strategy alignment, triple-A supply chain on supply chain performance and organizational performance. The proposed research model and hypotheses were tested using correlation analysis and structural equation modeling based on data collected from 153 companies working in the Egyptian textile industry.

The results of the study support that organizational performance is positively associated supply chain performance. Also supply chain performance is directly affected by triple-A supply chain and marketing strategy alignment.

The data used in this study were collected from 153 companies working in the Egyptian textile industry. The generalization of the study results may be limited by the size of the sample.

This study provides a useful working model in the textile industry. The results suggest successful implementation of triple-A supply chain and marketing strategy alignment will help in improving the supply chain performance, which in turn improves organizational performance.

Academic groups are designed specifically for researchers. A group recommendation procedure is essential to support scholars’ research-based social activities. However, group recommendation methods are rarely applied in online libraries and they often suffer from scalability problem in big data context. The purpose of this paper is to facilitate academic group activities in big data-based library systems by recommending satisfying articles for academic groups.

The authors propose a collaborative matrix factorization (CoMF) mechanism and implement paralleled CoMF under Hadoop framework. Its rationale is collaboratively decomposing researcher-article interaction matrix and group-article interaction matrix. Furthermore, three extended models of CoMF are proposed.

Empirical studies on CiteULike data set demonstrate that CoMF and three variants outperform baseline algorithms in terms of accuracy and robustness. The scalability evaluation of paralleled CoMF shows its potential value in scholarly big data environment.

The proposed methods fill the gap of group-article recommendation in online libraries domain. The proposed methods have enriched the group recommendation methods by considering the interaction effects between groups and members. The proposed methods are the first attempt to implement group recommendation methods in big data contexts.

The proposed methods can improve group activity effectiveness and information shareability in academic groups, which are beneficial to membership retention and enhance the service quality of online library systems. Furthermore, the proposed methods are applicable to big data contexts and make library system services more efficient.

The proposed methods have potential value to improve scientific collaboration and research innovation.

The proposed CoMF method is a novel group recommendation method based on the collaboratively decomposition of researcher-article matrix and group-article matrix. The process indirectly reflects the interaction between groups and members, which accords with actual library environments and provides an interpretable recommendation result.

YOU cannot see the bearings for dust in the new rig for testing triple seals on ball bearings at the Northampton Test Centre of Ransome Hoffmann Pollard Ltd. (RHP). The rig has been designed for the PDN and PDNF series which are mainly used in agricultural machinery.