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The mechanical design of the automatic placement machine and the integrated application of different tools dictate the result of the placement process. The placement accuracy of the system is a decisive factor for the quality and cost of the printed circuit board. Vision systems have become indispensable in today's SMD placement technology.

Most footprints of surface mounted components have been calculated on the basis of the sizes and tolerances of their electrodes, taking into account the various inaccuracies of the mounting processes to be applied. The introduction of components with very small connecting areas or leads (e.g., fine pitch IC packages) does not only imply smaller solder land dimensions, but also a different approach for the calculation of the footprint. This approach tackles the question of the required insulation spacing and lead/land overlap, and the ‘optimum’ solder land dimensions and the available mounting (i.e., placing and fixing) freedom are then obtained. The reduction of mounting freedom with decreasing pitch distances is quantitatively demonstrated. The ratio width of lead/size of pitch proves to be an important parameter in this respect. Requirements for mounting quality are linked with certain criteria for inspection of soldered joints (for example, regarding shift and rotation and vice versa), and some of these criteria are discussed in more detail.

The study aims to examine the factors affecting the customers' choice of Bangladeshi banks during the Covid-19 pandemic and the moderating effects of private and public banks on this association.

This study is based on explanatory research, where significant factors have been explored to evaluate the customers' perception of private and public banks in Bangladesh. Primary data are accumulated through an online survey from customers who have an account in a private or public bank in Bangladesh during the past four months, where 318 (non-probability convenience sampling) are usable, and secondary data are collected from various sources. Descriptive statistics, multiple and hierarchical multiple regressions have been conducted.

The results revealed that customers consider safe and secure websites, infrastructural facilities, technological know-how, service, price, time, payment, administrative and psychological factors in choosing Bangladeshi banks during Covid-19. Moreover, the results show that private and public banks have moderated these associations.

During Covid-19, few studies were conducted on Pakistani, Sri Lankan and Ethiopian banking customers, where different factors are significant; however, this study is unique because all factors are significant for Bangladeshi banking customers. The findings will originate the value with several theoretical implications and managerial guidelines.

This study aims to investigate the factors that influence the sustainable online purchase intentions of consumers during the COVID-19 pandemic. This study also examines the role of relational benefit and site commitment in the study model.

Data were obtained from a survey of 356 Bangladeshi consumers who were voluntarily using the internet during the COVID-19 pandemic. Data were analyzed using partial least square structural equation modelling with Smart PLS 3.0 and SPSS V25 tools.

The results show a positive and significant relationship between consumers’ personal innovativeness and impulse purchase orientation with their relational benefit and site commitment, social influence with relational benefit, relational benefit with site commitment, site commitment with the intention to purchase. Moreover, the study found that relational benefit mediates the relationship between impulse purchase orientation and social influence with site commitment. The results also indicate that site commitment mediates the relationship between personal innovativeness and impulse purchase orientation with the intention to purchase. The results further indicate that site commitment mediates the relationship between relational benefit and intention to purchase.

The findings allow online stores to consider crucial factors in their policies when making strategic decisions regarding the factors impacting consumers’ online purchasing intention during the COVID-19 pandemic.

In this study, a research framework is developed with a focus on the sustainable consumer intention to purchase. This study, therefore, adds to the existing literature by analyzing the factors that determine online purchase intentions during the COVID-19 pandemic in Bangladesh, given the limited number of studies on the online consumer behavioral intentions in related circumstances to COVID-19.

In both developed and developing countries, the COVID-19 pandemic has created a new generation of first-time online shoppers. More significantly, academics and practitioners believe that the shift to online shopping will continue in the years to come. Therefore, the purpose of this study was to examine the role of digital marketing tools as a moderator variable between the independent variables (i.e. consumption patterns, lifestyle, level of income, and payment methods) and dependent variable (i.e. the consumer's attitude towards online shopping) during the COVID-19 pandemic time in Arab countries.

A structured and self-administered online survey has targeted online shopping users in six different Arab countries based on a snowball and convenience sample. In total, 577 useable questionnaires were analyzed.

The findings show a significant positive relationship between the independent variables (i.e. consumption patterns, lifestyle, level of income, and payment methods) and the dependent variable (i.e. consumer attitude towards online shopping). Furthermore, the results reveal that the positive relationship between the independent and dependent variables is strengthened by the existence of the moderator variable, the digital marketing tools.

This study was based on cross-sectional data collection, rather than a longitudinal study and collected data from six Arab countries. It is suggested that future research should expand the survey in more similar countries to broaden the database for further generalizations and use a longitudinal approach to better assess changes in attitudes over time. In addition, this study focused on the issue from a consumer's viewpoint, so it is recommended that future research could be conducted, but from the viewpoint of marketing managers.

This study represents a further deeper insight into consumer behaviour; it advocates giving more emphasis on organizations' awareness of their customers' consumption pattern, lifestyle, level of income, and payment method. The findings of this study can help managers and marketers to design a promotional mix to improve consumer's behaviour towards online shopping. The results suggest paying more attention to the high relevant effect of the consumption pattern, lifestyle, level of income, and payment method on the consumer attitude towards online shopping.

This paper is one of the few attempts that investigated consumer attitudes toward online shopping in the Arab world. Importantly, it identified the drivers of online shoppers' attitudes in the Arab world. This may be used to develop and implement e-marketing strategies. Furthermore, this paper examines the role of digital marketing as a moderator variable to provide empirical evidence to the body of knowledge of these drivers during the COVID-19 pandemic time in the Arab countries.

The present study is intended to assess the risk factors associated with digital buying. Also aims to design and develop an instrument to assess the digital buyers risk factor score (DBRFS) in light of pandemic.

Present investigation uses a quantitative approach to achieve the stated objectives. The survey instrument for the purpose of assessing risk factors associated with digital buying was developed in two phases. The present study adopts theory of planned behaviour (TPB), built based on the theory of reasoned action (TRA). The data were collected and analysed considering 500 valid responses, sampling unit being digital buyers using social media platforms in tyre-II city of India. The data collection was undertaken between June 2021 and August 2021. The instrument is designed and validated using exploratory factor analysis (EFA) followed by confirmatory factor analysis (CFA).

The present research identified six perceived risk factors that are associated with digital buying; contractual risk, social risk, psychological risk, perceived quality risk, financial risk and time risk. The DBRFS of male is 3.7585, while female is 3.7137. Thus, risk taking by the male and female is at par. For the age group 15–30, DBRFS is 3.6761, while age group 31–45 noted as 3.7889 and for the 46–50 age groups it is measured as 3.9649.

The marketers are expected to have the knowledge about how people responds to the pandemic. The outcome of the research helps to understand consumer behaviour but disentangling consumer’s “black box” is challenging especially during global distress. The present study outcome helps the digital shopkeepers to respond positively to meet the needs of digital buying.

The scale development and to quantify the DBRFS. A deeper understanding of about digital consumers during pandemics will help digital shopkeepers to connect issues related digital buying.

The purpose of this paper is to develop a mathematical tool and an experimental platform to be able to reconstruct thermal plasmas in three dimensions (3D) in order to characterize 3D plasma and to validate models in 3D. Indeed, a lack of experimental data allowing validating 3D models exists.

The paper is realized with a transferred argon arc configuration. The 3D character is due to the form of the cathode electrode. The reactor design is defined by a previous theoretical study. This previous paper has shown that tomographic method through four views allows reconstructing 3D object. The light emitted by the plasma along four directions (four windows) is so spectrally resolved and treated by a multiplicative algebraic reconstruction technique algorithm. Following the emissivity profiles, two methods are used, the absolute line intensity method, and for an out off‐axis maximum of the emissivity the Folwer Milne method.

After a validating approach of the optical measurements in symmetrical configuration using Abel inversion, the reconstructed method is used. The results show the possibility of the tomographic method spectrally and spatially resolved to be applied to thermal plasma in order to characterise the medium and to validate the 3D models. The plasma medium is well described with a spatial resolution equal to 0.2 mm.

The method is applicable to thermal plasma presenting high emissivity. Even if the theoretical reconstruction method is applied to low temperatures or to theoretical plasma presenting out off‐axis of emissivity, future researches need to be performed to analyse the ability of the method to spatially resolve the areas presenting low emissivity.

The paper's originality can be demonstrated by the poor number of studies in thermal plasma reconstruction in 3D. Studies on plasma imaging can be found but not spectrally resolved. The special care on the spectral acquisition along the plasma radius combined with the tomographic reconstruction method lead to the originality of this paper.