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To study the advantages of a modular approach to packaging‐machine design.

Introduces the modular approach of this German company, with particular emphasis on its packaging robots and vision system. Uses a selection of food and pharmaceutical applications to illustrate the flexibility, capability and throughput of these compact packaging lines. Briefly, mentions other innovative features of the company's product range.

The company has reduced its top‐loading range of packaging machinery to just seven modules, of which a two‐ and a four‐axis robot greatly assist operational flexibility. A patented counterflow conveyor system unites products and packing boxes in a space‐saving layout. The de‐central control system reduces installation costs and assists trouble‐shooting.

Illustrates the power of robot technology in achieving a new approach to a particular type of automated machinery.

Recently, blockchain technology (BT) has resolved healthcare data management challenges. It helps healthcare providers automate medical records and mining to aid in data sharing and making more accurate diagnoses. This paper attempts to identify the critical success factors (CSFs) for successfully implementing BT in healthcare.

The paper is methodologically structured in four phases. The first phase leads to identifying success factors by reviewing the extant literature. In the second phase, expert opinions were solicited to authenticate the critical success factors required to implement BT in the healthcare sector. Decision Making Trial and Evaluation Laboratory (DEMATEL) method was employed to find the cause-and-effect relationship among the third phase’s critical success factors. In phase 4, the authors resort to validating the final results and findings.

Based on the analysis, 21 CSFs were identified and grouped under six dimensions. After applying the DEMATEL technique, nine factors belong to the causal group, and the remaining 12 factors fall under the effect group. The top three influencing factors of blockchain technology implementation in the healthcare ecosystem are data transparency, track and traceability and government support, whereas; implementation cost was the least influential.

This study provides a roadmap and may facilitate healthcare professionals to overcome contemporary challenges with the help of BT.

The purpose of this study is to understand the values consumers pursue and roles consumers partake in selfie practice.

A qualitative research method was adopted. In-depth interviews were conducted with selfie enthusiasts. Data were analyzed with grounded theory approach.

Diverse activities and reflections pertaining to selfies were analyzed, which uncovered three consumer roles departmentalized and the nine values that selfie practice generates for consumers. The three roles are subject, photographer and user of selfies, and the roles are orchestrated together or selectively performed if necessary. In consequence of the interplay of performances and expectations of the roles, consumers pursue and gain four collaboratively created values and five individually created values.

Findings of the study expand the understanding of values of selfie practice and consumer roles in Web 2.0.

The purpose of this paper is to measure technical efficiencies, slacks and input/output targets for 50 large Indian pharmaceutical firms.

The data are collected from Prowess of Centre for Monitoring of Indian Economy for the financial year 2010-2011. This study uses data envelopment analysis approach, taking raw material, salaries and wages, advertisement and marketing and capital usage cost as input variables and net sales revenue as output variable.

The paper finds that out of 50 firms, nine firms were overall technical efficient while 19 firms pure technical efficient and thus defined the efficient frontier. The BCC model identified that the inefficiency is either due to inefficient managerial performance or scale utilization. Further, firms are classified as high, low and middle robust firms on the basis of peer count. The study also analysed the slacks which were found to be significant in regard of some inputs, especially advertisement and marketing. The targets setting results have shown that all the inputs have significant scope for reduction.

The empirical results are useful in assessing the relative efficiency of the large Indian drug and pharmaceutical industry (ID&P) firms. The managers and owners can take corrective actions to reduce the cost of operations by optimizing advertising and marketing cost, capital usage cost and salary and wages so as to improve their efficiency.

Unlike the previous studies on the efficiency of the ID&P industry, the paper have shown the significance of improvement in managerial performance and scale utilization. In addition to this, excess inputs used in the production process and also possible target values of inputs and outputs are shown in the study. The robustness and stability of efficiency scores is also checked.

The purpose of the chapter is to specify effects of crises and to evaluate their influence on growth and development of socio-economic systems.

The authors use the method of regression analysis, with the help of which dependence on growth of the global GDP of various indicators that reflect crisis effects is determined. The information and analytical basis of the research is statistical materials of the World Bank and the International Monetary Fund. Timeframe of the research covers 2007–2016. The research is performed at the level of global economy on the whole for provision of representativeness of data and authenticity of results.

It is determined that influence of crisis on socio-economic system is expressed in short-term, mid-term, and long-term periods, including the next phase of economic cycle (phase of rise). Growth and development of economy after crisis are predetermined by its influence – crisis creates in a socio-economic system the environment that makes economic subject and state regulators cooperate and stimulate more active state support for society and business. Comprehensive study of the wave of economic cycle allows determining crisis as an impulse for development of economy, which expands its traditional negative treatment as a source of recession. It is also shown that crisis leads not only to financial (reduction of total savings in economy) but also social (growth of unemployment rate) and other – e.g., ecological (post-crisis increase of the share of renewable energy in the structure of production of electric energy) – effects in the economic system.

It is substantiated that influence of crises on growth and development of socio-economic systems is contradictory. On the one hand, crisis leads to temporary decline of GDP and slows down the development of socio-economic systems. On the other hand, crisis opens new possibilities for further growth and development of these systems, preventing their stagnation.

This study aims to explore potential paradigm shift in how “global economies” react to adverse macroeconomic conditions from key dominant economies such as the US and the Chinese economies. This is done by examining how economic activities within key economies around the world react to, or are impacted by, modeled adverse macroeconomic condition emanating from the Chinese and the US economies.

To verify potential paradigm shift in how external macroeconomic uncertainty impacts “global” industrial productivity and overall gross domestic product (GDP) growth within selected economies, this study opts for seemingly unrelated regression (SUR) model. Adoption of this method has been influenced by the potential for correlated error terms between modeled adverse macroeconomic condition, industrial productivity and GDP growth variables being tested in a two-equation system.

Empirical results based on SUR analysis find no evidence of this potential paradigm shift within the time frame examined in the study. Estimated results suggest that notwithstanding the recent growth surge of the Chinese economy, macroeconomic happenings within the US economy still exert significantly more influence on key economies around the world. For instance, this study finds that macroeconomic uncertainty associated with the US economy significantly constrains both industrial productivity and overall GDP growth within most of the economies tested, whereas the same condition emanating from the Chinese economy seems to rather have a weak positive impact on the same macroeconomic variables.

Research results are strictly limited to the focus time frame for this study; it is likely that expanded data involving more years beyond what was analyzed in this study could yield different results.

This study is an original research based on data from a reputable US federal institution.

The literature mostly investigates the impact of trade and financial integration on business cycle synchronization. The author differs by focusing on the real effective exchange rate as the target variable in the North American Free Trade Agreement (NAFTA) region. In particular, the author investigates synchronization by analyzing the short- and long-run dynamics of the real effective exchange rates of Canada, Mexico and the US for 2008–2019.

The author first employs stationarity and cointegration tests to specify and estimate the long-run equilibrium relation between the real effective exchange rates of Canada, Mexico and the US. The author then specifies and estimates an error-correction model for each real effective exchange rate in order to investigate whether the adjustment in eliminating disequilibrium is asymmetric.

The results indicate that the real effective exchange rates of Canada, Mexico and the US are cointegrated with only one long-run equilibrium relation. Canada's real effective exchange rate responds symmetrically to eliminate both negative and positive disequilibrium with a similar speed of adjustment. However, the response of Mexico's real effective exchange rate is asymmetric, as it responds to eliminate only positive disequilibrium. The US real effective exchange rate does not respond to disequilibrium, perhaps because it has a large economy with much stronger competition beyond the NAFTA region than both Canada and Mexico.

This is the first study that investigates real effective exchange rate synchronization in the NAFTA region.

Renewable energy is at the forefront of countries’ concerns due to its global economic and environmental impacts. Previous studies have thoroughly examined the impact of renewable energy on overall national income, and this paper aims to shed light on an indicator that has received insufficient attention in research regarding its impact on economic growth, using data from 2000 to 2018.

This study examines the causal relationship between trade balance, renewable energy consumption and CO₂ emissions per capita in Organization for Economic Cooperation and Development (OECD) countries using an auto regression distributed lag model (ARDL) and Johansen Cointegration Test.

The findings reveal that there is evidence of a long-run and short-run cointegrating relationship and that renewable energy consumption in the long run impacts the trade balance positively and in the short run negatively.

Therefore, bioenergy trade between countries and local investment should be prioritized to increase the trade balance surplus, since many of OECD countries suffer from deficit problems.

This paper analyses the possibility of Latin America's (LA) major economies adopting dollarization, considering that in the last decade macroeconomic instability has once again challenged the ability of certain economies to properly manage their own currency.

To determine the feasibility of adopting the US dollar as official currency, the author uses the framework of optimum currency area (OCA) theory, since, in fact, dollarization is an incomplete monetary union. The author uses a structural vector autoregressive (SVAR) model to identify what type of structural shock — country-specific, regional or global — prevails in LA economies. For this purpose, the US output is used to represent the global output and determine how the shocks of the US influence the output trajectory of each LA nation. The higher the influence of the US product, the lower the costs of adopting the US dollar.

The results of the variance decomposition show that the influence of the US shocks in the gross domestic product (GDP) trajectory of LA countries has significantly decreased over the last two decades, even in the currently dollarized economies. The estimates for Venezuela and Argentina show that the importance of US shocks in the trajectory of their GDP is low. Therefore, the cost of adopting the US dollar as the official currency would be high.

In view of hyperinflation and macroeconomic imbalances in certain LA nations, the dollarization debate has resurfaced in recent years. However, the literature that empirically evaluates the feasibility of adopting dollarization as a monetary system under current economic conditions is limited.