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This study investigated the association between structural conditions and social incentives and their effect on the ethnic composition of mobile social networks. Regarding structural conditions, we examined the role of the ethnic group’s size, socioeconomic status, and heterogeneity of the city in which the business was located. Regarding social incentives, we investigated the social diversification hypothesis, which expects that residentially and socially segregated minority groups will take advantage of mobile communications to diversify their mobile communication ties with outgroup members.

Two data sets were used. The first was the aggregation of the mobile communication patterns of business customers as measured by one of Israel’s mobile phone operators in April 2010. The database included 9,099 call data records. The second was a data set of the social characteristics of 103 Israeli cities from the Israeli Bureau of Statistics. Both data sets were merged according to the place of residence of each customer.

Israeli Arab businesses in homogeneous Jewish and mixed cities operate in an environment with more structural opportunities to create outgroup ethnic ties than Arab businesses in homogeneous Arab cities. Jewish businesses in ethnically mixed cities have more outgroup mobile ties than comparable businesses in homogenous Jewish cities.

We expand previous models and suggest a structural diversification approach in which ethnic mobile social networks vary across homogeneous and ethnically mixed cities. These variations result in different social incentives as the diversification approach assumed, as well as different structural conditions, as the structural approach indicates.

Purpose – To motivate diversity researchers to reconsider prior findings that use homogeneity as the standard to which diverse teams are compared. To recognize that homogeneity may be just as (if not more) influential than diversity in shaping group processes.

Design/approach – We selectively review the diversity literature and develop a conceptual reinterpretation of prior research. We challenge the general orientation in the literature to treat homogeneity as a baseline to which the effects of diversity are compared. We develop propositions that use diversity as the baseline for homogeneity and provide directions for future research.

Findings – We redigest evidence relating to five core areas in which researchers have identified differences between diverse and homogeneous groups, indicating that homogeneity may lead to (1) an avoidance of disagreement, (2) less use of unique information, (3) overconfidence about performance, (4) more social focus, and (5) less sensitivity to relationship conflict than might be warranted. Based on this reinterpretation of prior literature, we propose that homogeneous teams are prone to delusions, assuming they share similar values, opinions, knowledge, and preferences that make their world seem more homogeneous and comfortable than it may actually be.

Originality/value – We attempt to spur greater understanding of how diversity and homogeneity affect group functioning. We stress the independent effects of homogeneity in shaping group outcomes, an underexplored perspective in the diversity literature.

In this study composite and sandwich beams with homogeneous core and homogeneous or Functional Graded Materials (FGM) faces under three point bending have been confronted. The purpose of this paper is to study numerically sandwich beams with homogeneous core and homogeneous or FGM faces under three point bending and to compare the results for the stress and displacement fields with those resulted of coating – substrate and homogeneous beams. Considering a crack in the lower face sheet to study the influence of the material gradation on the stress intensity factors.

At first a static finite element analysis is performed throughout the composite and sandwich beams, which is taking into account the graded character or not of the faces. For this reason five plane models are considered in order to have a comparable study for the stress and displacement fields of composite beams, which are subjected to three point bending. Second a crack in the lower face is considered parallel to the axis of gradation. When subjected to three point bending, this crack will propagate slowly perpendicular to the lower face.

Computed distributions of the stress fields across the core material and near the interfaces are given for different materials gradation of the faces; and possible crack-initiation positions have been identified. Stress intensity factors are calculated using finite element method, and assuming linear fracture mechanics and plane strain conditions.

The originality of the proposed analysis is to investigate for the first time numerically the influence of the FGMs or homogeneous faces in the core material of sandwich beams under three point bending relative to the coating – substrate and to the homogeneous beams. Second to study the influence of a crack in the lower graded face sheet on the overall behavior of the composite beam and to investigate the influence of the material gradation on the values of stress intensity factors.

This study aims to examine the association between audit report lag (ARL), the length of time between the fiscal year end and the date the auditors’ report is signed, and client industry homogeneity, a measure of the similarity of operations of members of an industry.

Regression models are used to test the significance of industry homogeneity on the ARL, of specialists in homogenous industries on the ARL, and the completion of the audits of homogenous industry clients in the year of tightening Securities and Exchange Commission (SEC) filing deadlines.

The evidence suggests that auditors complete audits of clients more quickly in more homogenous industries. The association between ARL and homogeneity is negative, which indicates that auditors are more efficient in audits in homogenous industries. The association between ARL and specialist audits in homogenous industries is also negative. Finally, homogenous industry audits are better able to be completed by the compressed filing dates imposed by the SEC on accelerated and large accelerated filers in 2003 and 2006.

This study extends recent research on industry homogeneity’s influence on the audit market. By reporting an association between the homogeneity of a company’s industry and the ARL, investors and regulators have additional information to better evaluate the timing and monitor trends in the timing of the audit report dates.

In this chapter, we argue that beyond the self-enhancement motive (i.e., the desire for a positive identity), other identity motives play a significant, yet underspecified role in homogeneous and diverse groups. In particular, we explore how the desire for self-verification, belonging, and distinctiveness offer alternative and, at times, even contradictory explanations for findings typically attributed to self-enhancement. We also consider the ways in which these motives are influenced in homogenous and diverse groups and the effects they have on group processes and performance. Through our examination, we aim to stimulate research on the role of multiple identity motives in homogenous and diverse groups.

This paper revisits the derivation and properties of the Allen-Uzawa and Morishima elasticities. Using a Swiss dataset, this paper empirically estimates various elasticities both in a dual and primal framework using a production theory open economy model and tests for linear homogenous technology. In addition to reporting elasticity at the mean, the standard practice in the literature, this paper also calculates nonparametric distribution of various elasticities. The paper aims to discuss these issues.

To assess the effect of price change on input, the paper estimates a translog cost function and to assess the effect of quantity change on price, the paper estimates the translog distance function using the data on Swiss economy. The paper estimates Allen-Uzawa and Morishima elasticity both under homogenous and non-homogenous technology using the Swiss dataset of one aggregate gross output and four inputs (resident labor, non-resident labor, imports, and capital) over 1950-1986. Elasticities are reported and compared at the mean as well as explored by looking at the range and nonparametric distribution.

This paper shows that constant returns to scale are easily rejected in this dataset and that the elasticities, both qualitatively and quantitatively, are very different under homogenous and non-homogenous technology. These elasticities can switch from complements to substitutes or vice versa when one moves away from the mean of the sample. The equality of the nonparametric elasticity distributions under homogenous vs non-homogenous technology is rejected in all cases except one.

This paper gives a clear derivation and interpretation of different elasticities as well as demonstrates using a dataset how to systematically go about empirically estimating these elasticities in a dual and primal framework. It shows that linear homogenous technology can be easily rejected and the elasticities, both quantitatively and qualitatively, are very different under homogenous and non-homogenous technology. This paper is also very valuable because it shows that the standard practice of reporting elasticity at the mean might not be adequate and there is a possibility that these elasticities can switch from complements to substitutes or vice versa when one moves away from the mean of the sample.

Growth of the tourism sector and the relative importance of the last mile have been studied in independent literature, but theorists formally linking the two phenomena are limited. This paper aims to develop a theoretical framework for the understanding of the relationships between the last mile concept and the growth of the tourism sector.

Using 16 Caribbean countries’ tourism destinations, the study designs the last mile response to tourists’ demand based on the following categories: homogenous high-end tourists; homogenous low-end tourists; non-homogenous high-end tourists; non-homogenous low-end tourists; homogenous and non-homogenous high-end tourists; and homogenous and non-homogeneous low-end tourists. Destination networks were ranked relative to each other in terms of six different performance dimensions. A ranking of 1 indicates the best performance along a given dimension and the relative performance worsens, as the ranking gets higher.

First, it is the case that the Caribbean has a tourism environment with three types of destinations differentiated by their last mile standard levels (high standard LML, low standard LML and a combination of high and low standard LML). Second, tourists can choose from destinations that have high, low and combination of high and low last mile standard levels. Third, the relative number of tourists and relative profit of destination will depend on the last mile level. Fourth, while empirical evidence of the integration strategies for market differentiation is scarce, this paper points to the effect of cooperation on marketing destinations or integration strategies for marketing destinations.

The grouping of countries into high standard LML, low standard LML and a combination of high and low standard LML represents an advance on the traditional grouping based on proximity, colonial affiliation, language and cultural association. Identifying destination networks that are best suited for a variety of tourists, investors and marketers is of great value to regional tourism planners.

The study performs an empirical test to assess the impact of the Pakistan-China Free trade agreement (FTA) on Pakistan, China, and the World's exports under homogenous and differentiated products. This study employs the modeling with Poisson specification with Poisson Pseudo-Maximum Likelihood method for the estimations. The results of empirical test show that the effect of FTA on the FTA and Non-FTA countries is greater in the differentiated product as compared to the homogenous product. Therefore, one of the most important policy implications provided by this study is that export enterprises need to concentrate on differentiated products as compare to the homogenous products after the implementation of the Pakistan-China FTA. Moreover, the previous literature concluded that Pakistan-China FTA was more beneficial for China as compared to Pakistan. However, according to this study, if Pakistani enterprises focus more on differentiated products as compared to homogenous products, then it will be equally beneficial for both Chinese and Pakistani enterprises. This study will contribute to the literature by considering the Bertrand competition between asymmetric countries and find out the effect of the FTA on these three countries. It considers China, Pakistan, and the Rest of the World as first, second, and third countries.

The scaling of social initiatives is of immense importance for public innovation. A key factor in the scaling process is the institutional environment, which plays a key role in supporting and coordinating the scaling process. This environment can be either homogeneous or heterogeneous, i.e. dominated by a few or a variety of public organizations, norms and practices. Both environments have advantages and challenges. However, the academic understanding of the influence of the institutional environment is limited, and a systematic empirical assessment of the relationship between the type of environment and scaling is lacking. The purpose of this paper is to explore the influence of homogeneous and heterogeneous environments on the scaling process of social initiatives.

A comparative qualitative study was conducted in the Dutch social sector, including 48 in-depth interviews with initiators and organizations operating in three different domains – a homogeneous, heterogeneous or mixed environment – in the public sector.

Homogeneous environments are less supportive of scaling social initiatives than heterogeneous environments, as sharing best practices and collaborating with less-familiar organizations is not common. Heterogeneous environments, however, do not provide coordination of the scaling process, with the risk that public funds are used less efficiently and effectively. Institutional environments with a balance of homogeneity and heterogeneity are best suited for scaling social initiatives.

By combining literature from different research areas and conducting extensive empirical research in different domains of the social sector, the authors' study provides a broad and nuanced picture and brings precision to the authors' understanding of the relationships between the institutional environment and scaling in the public sector.