Recognizing the benefits of diversity: When and how does diversity increase group performance?

Diversity does not only bring positive consequences. It has often been recognized that heterogeneity in teams can reduce intra-group cohesiveness, and that it can lead to conflicts and misunderstandings which, in turn, can lower employee satisfaction, citizenship behaviors and increase turnover. On the other hand, there is also evidence for performance-increasing effects of diversity because it can improve creativity and innovation through the team members' greater variety of perspectives. Little is known, however, about the conditions and the psychological mechanisms required for increasing group performance under diverse settings. Answers to research questions such as how and when diversity influences performance at work are still limited. The purpose of the paper is to provide theoretical answers to these questions by proposing a model of managing diversity which draws on social psychology theories. The model brings a new perspective by identifying the process of learning from one another's identity within a group. This process underlies two different levels of mechanisms (individual and group level). The model proposes that when these social psychological mechanisms are activated, diversity will lead to an increase in group performance. The model also suggests that collective identity is salient and when psychological safety climate are the psychological conditions that activate these mechanisms.     

Food safety attitudes and practices of chefs in Cappadocia region,Turkey

ABSTRACT

Chefs working at hotels, restaurants, and public institutions play a major role in food safety. The aim of this study is to explore attitudes and practices regarding food safety issues among chefs in the Cappadocia region, Turkey. The data was collected using a convenience sampling method of the non-probability sampling technique. The survey was conducted between the period of September 2018 and November 2018, and 108 chefs working at hotels, restaurants, and public institutions participated. The data were analyzed using frequencies, exploratory factor analysis, independent sample t-test, ANOVA, correlation, and simple linear regression analyses. Most of the chefs (79.6%) had taken a basic food safety training course. The findings reveal that there are statistically significant (p < .05) differences between groups: (a) demographics and attitudes, and (b) demographics and practices. The findings also show that there is a significant (p < .05) and positive correlation (r = 0.48) between the attitudes and practices of chefs. This study posits that food safety trained chefs have higher scores in terms of both attitudes and practices than those who have not received. It is recommended that all chefs should be encouraged to attend food safety training programs. Practical and academic implications are discussed in detail.     

Is bioenergy trade good for the environment?

We analyze the impacts of bioenergy trade on greenhouse gas emissions using a two-good, three-factor model. Bioenergy is an agricultural good used as a substitute for fossil fuels in industry. Governments tax domestic pollution without international coordination. We assume that northern countries have higher labor productivity than southern ones and that agriculture is less pollution intensive than industry (after taxation). We show that whereas southern countries impose a lower tax rate than northern ones, they do not necessary have a competitive advantage in industry, and that compared to autarky, trade liberalization either increases or decreases worldwide emissions depending on regional comparative advantages.     

Economic growth,exports and foreign direct investment in Least Developed Countries: A panel Granger causality analysis

This paper investigates potential Granger causality among the real GDP, real exports and inward FDI in Least Developed Countries for the period between 1970 and 2009. A new panel-data approach developed in Kónya (2006) [Kónya (2006), Exports and growth: Granger causality analysis on OECD countries with a panel data approach, Economic Modelling, 23, 978–992] which is based on SUR systems and Wald tests with country specific bootstrap critical values has been employed. The results indicate direct, one-period-ahead, unidirectional causality from exports to GDP in Haiti, Rwanda and Sierra Leone, and from GDP to exports in Angola, Chad and Zambia. Considering the FDI–Growth nexus, there is evidence of FDI Granger-causing GDP in Benin and Togo, and GDP Granger-causing FDI in Burkina Faso, Gambia, Madagascar and Malawi. While studying EXP–FDI relations, this paper finds that the causality is from FDI to real exports in Benin, Chad, Haiti, Mauritania, Niger, Togo and Yemen, and from real exports to FDI in Haiti, Madagascar, Mauritania, Malawi, Rwanda, Senegal and Zambia.     

Long-run equilibrium and short-run dynamics between risk exposure and highway safety

Based upon monthly California data, this exploratory analysis uses vector error correction methods and associated statistical tests to identify the long-run relationship and the short-run dynamics between highway exposure and crashes. The analysis finds that there is a cointegrating relationship between exposure and crashes, and for fatal, serious injury, and materials crashes, could not reject the hypothesis that crash exposure and frequency move proportionately. The analysis indicates that vector error correction models may be an important tool for improving our understanding of highway crashes and the near and longer term impacts of alternative safety policies.     

Analysis of children’s interest in books and their reading levels depending on the education status of family

The reading rate is an important indicator of the development level of a country. The fundamental condition of being a developed country is having a sufficiently educated workforce, which, in turn, is directly related to reading abilities and habits. In modern society, which has been termed the “information age”, the fastest way to acquire knowledge is through reading. Reading habits are initially formed within the family. Subsequently, the desired reading objectives can be achieved through the positive contribution of the school and the child’s environment. A child with developed reading skills will have the targeted accumulation of knowledge and will be suitably positioned to attain success in their future education and professional lives. The ability to reach this objective easily is directly related to the guidance and encouragement of families in this regard. The results of this study indicate that there is a strong correlation between the levels of education of parents in the Turkish Republic of Northern Cyprus and the reading habits that are given to children. For example, the results revealed that the children of 27 families with university and higher education levels read a total of 115 books, which is an average of 4.25 books per child on a monthly basis, whereas this figure was found to be 42 books, or an average of 1.82 in the 23 families with an education at high school level or below. The general purpose of the study is to determine the relationship between the reading habits of children and the education levels of their parents as well as the level of awareness of families in this respect. This is a qualitative study. The aim is to obtain in-depth and detailed data. The research is based on a case study, which is a qualitative research model. The examined case is that of North Cyprus.     

Antecedents of green behavioral intentions: a cross‐country study of Turkey,Finland and Pakistan

Quality of life of the future generations depends on the efforts of current generations to protect environment. The purchase decisions based on their green behavioral intentions not only helps the society, but also helps companies to gain a green competitive advantage. In this study, the relationships between green satisfaction, green trust, green equity and behavioral intentions are examined. Data were collected from Turkey, Finland and Pakistan with self‐administered questionnaires regarding with green white goods. The hypotheses were tested with structural equation modeling. Results of a structural model reveal positive relationships green satisfaction, green trust and green brand equity across three countries. In addition, green brand equity plays a remarkable role in behavioral intentions towards green white goods in general. Managers should consider green trust, green satisfaction, and green brand equity while implementing green marketing strategies in a global marketplace.     

Assessing consumer logistics functions in grocery shopping: Evidence from an emerging market

Abstract

Consumer logistics (CL), focuses on the role of consumers in the logistical processing of goods for the purpose of consumption from point of acquisition to the point of disposal. The objective of this study is to test and validate the CL scale as introduced by Bahn, Granzin, and Tokman for grocery shopping in a previously unexplored country setting, namely in Turkey. Our findings show in contrast to Bahn et al. only six CL functions: information search, transportation management and materials handling, storage management & inventory needs assessment, contingent inventory operations & product acquisition, intra-household communication, and interdependent transportation operations. These six CL functions are more applicable for an emerging market, such as Turkey. These findings are consistent across the different socio-demographic characteristics in our sample.     

Analysing Your Multivariate Data as a Pictorial: A Case for Applying Biplot Methodology?

This paper illustrates the versatility of biplot methodology when analysing multivariate data from diverse disciplines. The modern approach of Gower & Hand (1996) whereby biplots are regarded as multivariate analogues of ordinary scatter plots is utilised for extending biplot methodology introducing several novel applications. Focus is on biplot applications where the merits of principal component biplots and canonical variate analysis biplots are illustrated with data sets from higher education, the manufacturing industry, the mining industry, agriculture, finance and archaeology. It is shown how to equip biplots with quality regions, classification regions and acceptance regions; how a -bags superimposed on biplots provide a quantification of the multidimensional overlap of classes as well as enable biplots to be used with large data sets; how to use biplots for exploring multi-dimensional reality and in sophisticated classification procedures.