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The purpose of the study is to investigate the perceived stigma among residents of Sanandaj, west of Iran, following COVID-19 pandemic.

This is a cross-sectional study conducted from March to April 2020. The sample consisted of 1,000 participants who live in Sanandaj. The data collection tool was a self-report electronic questionnaire. ANOVA and T-test were used to analyze the data.

The mean perceived stigma for COVID-19 was 5.50±2.24 (IQR: 3.75–6.87) out of 10-point scale. The highest point was seen for perceived external stigma (6.73±2.49, IQR: 5–8.75) followed by disclosure stigma (4.95±3.92, IQR: 0–10). Interestingly, self-employers were more concerned about disclosing their illness than those with governmental jobs (25±3.93 vs. 4.31±4.14, P<0.05), and also had an overall higher stigma score; 5.72±2.23 vs. 5.19±2.37, P<0.05).

COVID-19 stigma is high among Iranians and more common among men, youngsters and self-employers.

The retail sector has the largest energy consumption among commercial buildings in the U.S. Although previous studies explored benefits, barriers and solutions for implementing sustainability in various building sectors, research focused on retail facilities has been very scarce. This study aims to explore U.S. facilities managers’ perceptions of barriers that prevented the implementation of energy-efficiency practices in the retail sector. Their perceptions were compared by facility size and facilities management company’s business revenue.

An online survey was distributed to the members of the International Facility Management Association and the author's LinkedIn network. The survey responses were analyzed using descriptive statistical analysis and ANOVA.

Managers from large facilities, as opposed to those from small ones, significantly more agreed that the unavailability of building automation systems, a lack of professional writing skills and a lack of awareness of life cycle cost (LCC) were the barriers. Business revenue did not cause significantly different perceptions of the barriers except for a lack of awareness of LCC and a lack of support from upper management.

This study fills the research gap on energy efficiency in the retail sector by revealing U.S. facilities managers’ perceptions of the barriers to the implementation of energy-efficiency practices in retail stores. This novel study compares perceptions of the facilities managers by facility size and business revenue; this comparison has not been performed before. The study also identified several new barriers to the implementation of energy efficiency in the retail sector.

Energy systems are quickly in transition and their complexity has been dramatically increased. Although there are numerous studies and researches about future of energy in terms of technology or fuels, few studies have been done based on comprehensive socio-technical dimensions of energy systems’ futures. One key question to fill this gap is that how can we consider electricity as a sustainable common good/resource, beyond some conventional considerations related to public or private sector orientation? The purpose of this study is to find an acceptable answer for this question..

To achieve the purpose of this study, after reviewing some relevant studies, key effective factors on the future of energy have been recognized in an expert panel and structurally analyzed by Micmac software based on cross-impact analyze method. Thereafter, four scenarios for transforming the electricity distribution from a monopoly good to a common resource have been developed and described based on scenario workshops method..

Four scenarios for transforming the electricity distribution from a monopoly good to a common resource have been developed and described. These scenarios include “spider grid,” “local grid,” “intermediate grid” and “off-grid.” Furthermore, different dimensions of electricity as a common good/resource have been investigated. As a result, the authors find out that common resource is a creatable concept that can be referred to some goods depending on certain conditions.

Electricity, like any other resource with common characteristics, can be considered and treated as a common resource, depending on the way we generate, share and distribute it, ownership and property rights, management and decision-making mechanisms, social participation processes and governance criteria.

Spiegel Online (www.spiegel.de) is the leading news Web site in Germany. The site was first designed to accompany Der Spiegel, one of Europe's largest and Germany's most influential weekly magazine, which has a weekly circulation of around one million. The site's content is produced by a team of more than fifty journalists writing in several categories: politics, business, networld, panorama, arts and entertainment, science, university, school, sports, travel, weather, and automobiles. The original content is complemented by articles purchased from news agencies and selected articles from the print edition. Spiegel-Verlag is a major contributor to the Hamburg Media School, which offers professional master's degree programs in Media Management (MBA), film, and journalism. In their second year, MBA students typically engage in consulting projects with major media companies. In a recent assignment, Spiegel Online posed two questions to the MBA team: are there any chances for an economically successful entry into the market for interactive classifieds? And if so, what should the business model look like in detail? A student team analyzed markets for classified ads and found one market segment that appeared to be particularly promising: the market for art objects. During the development of a business plan for a new venture in this market it became apparent that there is much uncertainty about the key input parameters to the business plan. As a result, it is very difficult to assess the viability of the business idea. How can the team properly account for the uncertain input parameters? What is the impact of this uncertainty on the bottom line? Will a Web site for art objects earn or lose money? How can the team communicate this uncertainty to a group of high-level decision makers who want a simple “go or no-go” recommendation?

The objective is to make students aware of the applicability of Monte Carlo simulation to the analysis of complex business plans. Students should learn how to explicitly account for uncertain inputs in a business plan, how to assess the impact of uncertainty on the bottom line via Monte Carlo simulation, and how to communicate the results of their analysis to high-level decision makers.

Thinking and deciding about the future of the city as a combination of complex and uncertain systems is extremely difficult. This complexity, uncertainty and difficulty will be increased when our thoughts and decisions address the city’s long-term future. Considering these issues, the need for future thinking and alternate thinking in the process of urban management and planning becomes even more necessary. The purpose of this paper is to identify and explain the alternate futures of Tehran.

For this purpose, this study have tried to study alternate future images of Tehran in an archetypal form of “growth, collapse, disciplined society and transformed society” using “Dator’s Four Generic Alternate Futures” method.

These alternate futures, after identifying their key trends and drivers, have been narrated in the form of four scenarios called: “capital business center,” “crossing the fate of ray,” “Tehran family” and “Tehran investigators.” Increasing the authority and responsibility of the local governance, modification of Tehran urban management model and development of voluntary cooperation and democratic participation, are among the policy recommendations made on the basis of these images.

Achieving these images in parallel with identifying the most important challenges and opportunities in alternate futures will provide the basis for policy-making in Tehran’s future urban governance. It can be a creative model for developing future images for other cities.

The purpose of this paper is to analyze the implications of the risk versus characteristic debate from the perspective of a mean-variance investor.

Expected returns and the variance-covariance matrix are estimated based on various characteristic and risk models and evaluated for the purpose of mean-variance portfolios.

Return estimates from characteristic models are most informative to investors. Risk-factor models provide the most informative estimates of the risk. A mean-variance investor should rely on combinations of the two model types.

Although the risk vs characteristic debate is a binary academic debate, our findings from an investor's perspective suggest to make use of the best of both worlds.

This paper explored the ways through which entrepreneurial leadership practices of chief executive officers (CEOs) enhance their employees' innovation at workplace in knowledge-based firms. Building on social cognitive theory and resource-based view of firms, this paper argues that entrepreneurial leadership fosters employees' innovation work behavior by enhancing their individual and team creativity self-efficacy.

The sample was selected from knowledge-based firms in Iran using the simple random sampling method. Two mediation models were tested using data from 41 CEOs and 207 employees in two separate phases.

The analysis supported that CEOs' entrepreneurial leadership improves their employees' innovation work behavior through enhancing their individual and team creativity self-efficacy.

The research contributes motivational and enabling mechanisms at both individual and team levels that entrepreneurial leaders use to improve employees' innovation work behavior in the context of knowledge-based firms. The findings may assist managers and business leaders in effectively leading innovation process.

This study aims to explore the evolutionary trajectories of technological innovation using 1,361 documents to determine the most cited documents, influential authors, prominent journals and leading countries in the field of technological innovation research.

In this paper, the intellectual structure of technological innovation literature was studied using bibliometric co-occurrence and co-citation analyses. The authors focused on the 1,361 documents in this research stream published between 1961 and 2019.

The findings show that researchers do not appropriately draw on theoretical perspectives external to the field to study different dimensions of technological innovation. This study reveals six distinct areas within the literature: sources of innovation, environmental innovation and technological innovation, investment, economic growth of countries, technological innovation systems for sustainable development, innovation system, research and development and competitiveness.

This study investigates the foundations of the conception, themes and research communities within the technological innovation domain. This paper found strong evidence that technological innovation is one of the keys to the research area in innovation studies.

The purpose of this paper is to review and evaluate the methods commonly used in accounting literature to correct for cointegrated data and data that are neither stationary nor cointegrated.

The authors conducted Monte Carlo simulations according to Baltagi et al. (2011), Petersen (2009) and Gow et al. (2010), to analyze how regression results are affected by the possible nonstationarity of the variables of interest.

The results of this study suggest that biases in regression estimates can be reduced and valid inferences can be obtained by using robust standard errors clustered by firm, clustered by firm and time or Fama–MacBeth t-statistics based on the mean and standard errors of the cross section of coefficients from time-series regressions.

The findings of this study are suited to guide future researchers regarding which estimation methods are the most reliable given the possible nonstationarity of the variables of interest.