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The purpose of this study if to investigate the effects of show windows on shopping behaviour among female consumers to provide insights that a manager can use to encourage purchase behaviour.

On the basis of 20 in-depth interviews, we developed a survey, which we administered to female consumers (n = 209). The survey was based on a stimulus–organism–response framework. Each respondent was exposed to an image of a show window (images were taken from apparel departments of well-known department stores) and rated her perceptions of the window and intentions to purchase items sold in the store.

Using factor analysis, we identify five components of the show window: social, hedonic, informational, image and “feel-good” factors. The first four factors are aggregated into a “show window” metric, which is shown to influence purchase intentions; this influence is fully mediated by the feel-good factor. The image factor and the social and hedonic factors each significantly influence the feel-good factor.

When developing show windows, brand managers should aim to touch on all factors of the show window to make shoppers “feel good”; these positive feelings might intensify shoppers’ purchase intentions.

This study identifies five factors that make up consumers’ perceptions of show windows. It shows that exposure to a show window affects consumers’ purchase intentions, and that this influence is determined primarily by the extent to which consumers “feel good” about the store.

To answer the questions: what roles windows of opportunity act in the catchup process of latecomers, what strategies latecomer enterprises should adopt to size windows of opportunity to catch-up with incumbents even going beyond?

This paper studies the catch-up history of the Chinese mobile phone industry and proposes a sectoral innovation system under scenario of technology paradigm shifts. Then a history-friendly simulation model and counterfactual analysis are conducted to learn how different windows of opportunity and catch-up strategies influence the catch-up performance of latecomers.

Results show latecomers can catch up with technology ability by utilizing technology window and path-creating strategy. However, catching up with the market is not guaranteed. Demand window can help latecomers to catch up with market as it increases their survival rates, different sized windows benefit different strategies. However, it also enlarges incumbents' scale effect. Without technology window technology catch up is not guaranteed. Two windows have combination effects. Demand window affects the “degree” of change in survival rates, while the technology window affects the “speed” of change. Demand window provides security; technology window provides the possibility of a breakthrough for technology ability.

The findings of this paper provide theoretical guidance for latecomer enterprises to choose appropriate catch-up strategies to seize different opportunity windows.

This paper emphasizes the abrupt change of industrial innovation system caused by technology paradigm shifts, which makes up for the shortcomings of previous researches on industrial innovation system which either studied the influence of static factors or based on the influence of continuous changes.

The main purpose of this study is to evaluate COVID-19’s impact on the emerging stock markets.

To evaluate the influence of COVID-19, this study uses a novel method of event study methodology to measure the impact of COVID-19 on emerging stock markets. The research’s sample includes a total of 79 firms from 26 industries that are included in the KSE-100 Index from the Pakistan Stock Exchange. Three events were studied: (1) Announcement of the first case, (2) Start of lockdown and (3) End of lockdown.

This study establishes the findings that industries in the Pakistan Stock Exchange were overall negatively affected by the COVID-19. Commercial banks, Insurance, Real Estate and Textile were badly affected by the COVID-19. However, the Pharmaceutical, Refinery and Food and Personal Care Products industries had shown a positive response.

This study could bring in a new and useful insight into the literature on the impact of COVID-19 on the emerging stock markets. The results of this study provide insight to the investors in the emerging stock markets of the industries that are likely to show responses either negative or positive to news of regional or global outbreaks, lockdowns and end of lockdowns.

The work on COVID-19 has been mostly limited to the developed markets and the emerging markets have been overlooked. This study is a potential gateway to future works regarding pandemics in emerging markets.

The purpose of this paper is to determine the approximate window-to-wall ratio (WWR), window width-to-height ratio (WHR) and sill level for a room in Rasht–Gilan province and to present an optimal window in each of the WWR ranges providing the minimum energy consumption by integrating artificial lighting and thermal analyses, whilst maintaining internal comfort conditions using dynamic evaluation.

The process of modelling has four main steps: 1 – defining the building's features and requirements, 2 – validating input weather file data by on-site measurement, 3 – determining input parameters for the lighting and thermal analysis and 4 – clarifying variable parameters and fitness function for the optimization algorithm. Also, the survey study is performed in a daylit office room, in which 30 employees are employed to answer the questions in three different times of a day. In this process, the impact of daylight on their visual comfort is surveyed in 1,350 different illuminance levels which are manually recorded.

The range of useful daylight illuminance (UDI) values is determined as 200–1,000 lux. The optimum range of WWRs in the case study is 15%–25%. Also, due to the appropriate window height, electric lighting could be decreased by 40%.

Thermal and lighting performance in buildings is the relation of facade characteristics to environmental sustainability. Recent studies focussed on optimizing WWR and window characteristics considering thermal comfort and energy analyses. However, architects need freedom for designing façade and making decisions in their first sketches. Thus a guideline for optimum window conditions in each WWR is required. Also, considering occupants' behaviour in practical buildings, the visual comfort investigation is a gap in WWR optimization.

The purpose of this study is to determine the effects of window proximity on perceptions of employees in the call center offices.

A semantic differential scale composed of nine bipolar adjectives, four of which dealt with “planning,” three of “privacy,” while the rest measured “lighting” was applied for evaluation. In total, 92 employees at the TEPE Call Center in the Bilkent District, Ankara, Turkey participated in the research.

The results showed that window proximity directly affected the call center employees’ perceptions. In addition, a positive approach was even less affected when the location of the workstation was more at the inner part of the workspace. On the contrary, workstations in front of the window were evaluated more positively, presumably because the employees were happy at feeling roomy and by giving them a higher level of privacy, while also minimizing distractions and interruptions. It was also found that call center employees with secondary education responded more positively than higher educated employees.

This study was limited to examining the effects of window proximity in a call center on employees’ perceptions of an open-plan office. The study supports the results of planning, privacy and lighting, as well as the study on physical environmental factors, such as design, ambient and social, which are thought to be realized in the future.

This study presents suggestions that would be useful for increasing the working and solution-focused perceptual performance values in call center environments from the new generation of work areas. They should be appropriate for the psychological and physical needs of employees in twenty-first-century communication environments, especially in spatial environments and for the suitability of the technological equipment used.

This study is carried out in one public and one private health-care centers based on different probabilities of patient’s no-show rate. The present study aims to determine the optimal queuing system capacity so that the expected total cost is minimized.

In this study an M/M/1/K queuing model is used for analytical properties of optimal queuing system capacity and appointment window so that total costs of these cases could be minimized. MATLAB software version R2014a is used to code the model.

In this paper, the optimal queuing system capacity is determined based on the changes in effective parameters, followed by a sensitivity analysis. Total cost in public center includes the costs of patient waiting time and rejection. However, the total cost in private center includes costs of physician idle time plus costs of public center. At the end, the results for public and private centers are compared to reach a final assessment.

Today, determining the optimal queuing system capacity is one of the most central concerns of outpatient clinics. The large capacity of the queuing system leads to an increase in the patient’s waiting-time cost, and on the other hand, a small queuing system will increase the cost of patient’s rejection. The approach suggested in this paper attempts to deal with this mentioned concern.

The use of organic materials in the construction of aircraft transparencies is introduced by discussing their properties in relation to the requirements of strength and vision of the different types of transparency in the variety of environmental conditions in which they have to operate. The advantages and disadvantages of the particular currently manufactured materials are examined and the way in which their individual properties may best be utilized in the design and construction of transparencies is described and demonstrated by showing examples of proven designs. Present and future developments of both rigid sheet and flexible interlayer materials are discussed, particular reference being made to the development of ‘high temperature’ materials and the use of plastic main plies in combination with glass face plies to form hard‐wearing lightweight laminates. With the present availabilty of the improved acrylic materials, the author looks forward to the possibility of a reduction in the required design factors and a change in the interpretation of the fail‐safe requirements enabling simpler, lighter windows using organic materials to be designed in the future.

Although wire‐bonding is an established and well‐known technique for micro‐joining on leadframes, direct die‐attach without housing on printed circuit boards has some new requirements for the surface of the bond pads and the PCB itself. The best choice of material for the bond pads is a pure gold metallisation. The quality of the surface can be tested during wire‐bonding using the ultrasonic‐power process window. It will be shown that the surface and the PCB itself have a considerable influence on the ultrasonic and thermosonic bonding process.

This paper evaluates how corruption scandals effects corporate reputational risk in main representatives Latin America listed companies. Efficient market hypothesis (EMH) on Standard and Poor’s index is also tried on.

First it is run a standard event study to evaluate the negative impact of such corruption episodes in terms of abnormal returns (ARs) and cumulative negative abnormal returns (CARs). Secondly, we use the operational loss derived from the corruption scandal divided by the stock's market capitalization (Loss Ratio) to estimate the reputational abnormal returns (RepARs) and its cumulative measure (RepCAR).

It is found that corporate reputation (CR) does not affect the stock market performance of the companies involved in the corruptions events, at least, in the very short term. The results show positives RepCARs due to still unknown losses of relative size of corruption after the announcement of the scandal, when the market shows greater sensitiveness.

The behavior of the market on corruption scandals on the Latin American can let explore other options to limit bribery, and the study of this with a perspective of EMH is the significance of this paper.

Corruption become major problems in recent years in Latin American and its implications on the stakeholders.

Observing in the existing literature, there is no many studies based on the corruption scandals and market price using event methodology.

Este trabajo evalúa cómo los escándalos de corrupción afectan el riesgo reputacional corporativa en las principales empresas representativas de América Latina que cotizan en bolsa y su efecto en la hipótesis del mercado eficiente (EMH) en el índice Standard & Poors.

Primero realizamos un estudio de eventos estándar para evaluar el impacto negativo de tales episodios de corrupción en términos de retornos anormales (AR) y retornos anormales negativos acumulativos (CAR). En segundo lugar, utilizamos la pérdida operativa derivada del escándalo de corrupción dividida por la capitalización bursátil (índice de pérdidas) para estimar los rendimientos anormales de reputación (RepAR) y su medida acumulativa (RepCAR).

Los resultados muestran que la reputación corporativa (CR) no afecta el desempeño bursátil de las empresas involucradas en los hechos de corrupción, al menos, en el corto plazo. Los resultados muestran RepCARs positivos debido a pérdidas aún desconocidas de efecto relativo de corrupción luego del anuncio del escándalo por parte de los stakeholders.

El comportamiento del mercado ante los escándalos de corrupción en América Latina nos debe permitir explorar otras opciones para penalizar sobornos, y el estudio de eventos con una perspectiva de EMH es parte de este trabajo.

La corrupción se ha convertido en uno de los principales problemas en los últimos años en América Latina y esto afecta a los stakeholders.

Observando en la literatura existente, no se encuentra estudios basados ​​en los escandalos de corrupción y precio de mercado utilizando metodología de eventos.