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The paper aims to examine some economical, political and health system indicators on the transmission of the COVID-19 transmission within the national system. The main objective is to investigate what are the most effective indicators which have led to the declared numbers by countries.

This study combined multiple sets of data to describe best the economical status of the health system including the government spending on the health system to draw some conclusion regarding the behavior of the pandemic.

Complex emergencies and internal conflicts negatively affected the quality of the reported cases and the size of the pandemic. The health work force was the most determinant factor of the health system. It can sometimes be impossible to understand the epidemic only with epidemiological data or health system one; economical aspects of health system and political situation have to be added to the equation.

The research according to the authors’ knowledge is the most comprehensive comparison so far that investigate the non-covid aspects from a political side in particular in complex emergencies and war situation added health system indicators.

The imperative to conserve resources and minimize operational expenses has spurred a notable increase in the adoption of lean manufacturing within the context of the circular economy across diverse industries in recent years. However, a notable gap exists in the research landscape, particularly concerning the implementation of lean practices within the pharmaceutical industry to enhance circular economy performance. Addressing this void, this study endeavors to identify and prioritize the pivotal drivers influencing lean manufacturing within the pharmaceutical sector.

The outcome of this rigorous examination highlights that “Continuous Monitoring Process for Sustainable Lean Implementation,” “Management Involvement for Sustainable Implementation” and “Training and Education” emerge as the most consequential drivers. These factors are deemed crucial for augmenting circular economy performance, underscoring the significance of management engagement, training initiatives and a continuous monitoring process in fostering a closed-loop practice within the pharmaceutical industry.

The findings contribute valuable insights for decision-makers aiming to adopt lean practices within a circular economy framework. Specifically, by streamlining the process of developing a robust action plan tailored to the unique needs of the pharmaceutical sector, our study provides actionable guidance for enhancing overall sustainability in the manufacturing processes.

This study represents one of the initial efforts to systematically identify and assess the drivers to LM implementation within the pharmaceutical industry, contributing to the emerging body of knowledge in this area.

Drawing on the theory of goal systems applied to family business this case study focuses on the interdependence between non-economic goals and family goals, in order to identify if and how achieving non-economic goals generates dysfunctional behavioural patterns for family members in the long term.

This study used an inductive, 20-year longitudinal case-study based methodology.

This case study shows how the business family faces ethical/affective dimensions, struggling every day for a balance and often undermining the legitimisation and differentiation of its children. Findings show that the achievement of non-economic goals can occur to the detriment of family goals, such as by generating a dysfunctional system, specifically in business family adaptability.

The principal limitation is that this single case study evidently does not allow for complete generalization of the findings.

This case study makes a contribution to alerting the family business system to the long-term risk they face in trying to simultaneously maintain both harmony/cohesion and ethics/responsibility. Practitioners and consultants are therefore called on to help family firm owners with adopting a strategic vision by considering possible long-term counterfinal (i.e. mutually incompatible) goals.

SMEs are the most widespread type of firm in the world, and consequently dysfunctional behavioural patterns within business families represent a prominent socio-economical problem for policy makers and institutions.

This study shows that, in the long term, that which is perceived to be a desirable goal can transpire to be a dysfunctional pattern. In doing so, this research introduces a new point of view to the literature on goal systems in family business.

The purpose of this paper is to propose an effective and economical management platform to realize real-time tracking and tracing for prepackaged food supply chain based on Internet of Things (IoT) technologies, and finally ensure a benign and safe food consumption environment.

Following service-oriented architecture, a flexible layered architecture of tracking and tracing platform for prepackaged food is developed. Besides, to reduce the implementation cost while realizing fine-grained tracking and tracing, an integrated solution of using both the QR code and radio-frequency identification (RFID) tag is proposed. Furthermore, Extensible Markup Language (XML) is adopted to facilitate the information sharing among applications and stakeholders.

The validity of the platform has been evaluated through a case study. First, the proposed platform is proved highly effective on realizing prepackaged food tracking and tracing throughout its supply chain, and can benefit all the stakeholders involved. Second, the integration of the QR code and RFID technologies is proved to be economical and could well ensure the real-time data collection. Third, the XML-based method is efficient to realize information sharing during the whole process.

The contributions of this paper lie in three aspects. First, the technical architecture of IoT-based tracking and tracing platform is developed. It could realize fine-grained tracking and tracing and could be flexible to adapt in many other areas. Second, the solution of integrating the QR code and RFID technologies is proposed, which could greatly decrease the cost of adopting the platform. Third, this platform enables the information sharing among all the involved stakeholders, which will further facilitate their cooperation on guaranteeing the quality and safety of prepackaged food.

The main purpose of this study is to make a comparative evaluation of the impacts of previous outbreaks and coronavirus disease 2019 (COVID-19) on the tourism industry. COVID-19 appears to have disrupted all memorizations about epidemics ever seen. Nobody has anticipated that the outbreak in late December will spread rapidly across the world, be fatal and turn the world economy upside down. Severe acute respiratory syndrome, Ebola, Middle East respiratory syndrome and others caused limited losses in a limited geography, thus similar behaviors were expected at first in COVID-19. But it was not so. Today, people continue to lose their lives and experience economic difficulties. One of the most important distressed industries is undoubtedly tourism.

This study is a literature review. In this review, a comparative evaluation between the impact of previous outbreaks and COVID-19 on the tourism industry has been made based on statistics and previous research studies.

The information and figures obtained show that COVID-19 and previous outbreaks have such significant differences that cannot be compared. COVID-19 has been one of the worst to live in terms of spreading speed, the geography where it spreads, loss of lives and negative effects in the whole area.

It is noteworthy that COVID-19 is very severe in terms of death cases and also its impacts on the economy compared to other pandemics. It remains to be argued that COVID-19 can also be a reference in terms of possible new outbreaks in the future, and is an effective actor in determining future strategies.

Taking cues from the fact that there remains a dearth in the establishment of theoretical and empirical relationship between executive compensation and corporate social responsibility (CSR) performance of the firms, this study attempts to explore the non-linear relationship between the said variables.

The study utilizes a strongly balanced panel data set of 179 non-financial National Stock Exchange (NSE) 500 listed firms for the study period of 2015–2020. The study further employs both static as well as Arellano-Bond dynamic panel model under generalized method of moments (GMM) framework to establish the relationship between executive compensation and CSR performance of the sampled firms.

The study acknowledges an inverted U-shaped relationship between executive compensation and environmental, social and governance (ESG) score of the firms. According to the robust estimator, an increase in the level of executive compensation is said to affect CSR performance positively until it surpasses a threshold level of 18.7 percent.

One of the major takeaways that the study provides for the corporate policymakers is that the level of compensation can only motivate the executives to take up socially responsible work up to a certain level surpassing which the executives becomes resistant towards any benefits provided by the CSR performance and get inclined towards economical performances of the firm. At the later stage, the economical expansionary investment benefits overweigh the personal career benefit gained by the executives from the CSR performances of the firm.

The nonlinearity relationship between executive compensation and CSR performance and the threshold level providing the two-fold effect of compensation on the CSR performance of the firms attempted by this study is a rare attempt in an emerging economy like India.

Dynamic lot sizing is the problem of determining the quantity and timing of ordering items while satisfying the demand over a finite planning horizon. This paper considers the problem with two practical considerations: minimum order size and lost sales. The minimum order size is the minimum amount of items that should be purchased and lost sales involve situations in which sales are lost because items are not on hand or when it becomes more economical to lose the sale rather than making the sale. The objective is to minimize the costs of ordering, item , inventory holding and lost sale over the planning horizon. To solve the problem, we suggest a heuristic algorithm by considering trade-offs between cost factors. Computational experiments on randomly generated test instances show that the algorithm quickly obtains near-optimal solutions.

Existing old building stock needs retrofit of structures and performance upgrading. Retrofit is often neglected, either lacking understanding of maintenance importance or to keep living costs low. Retrofit is inevitable. Depending on a buildings geographical location, condition or expected time of use; demolition of building or increment space is worth considering. This study looks at the economics about which is the best option: renovation and energy efficient upgrading of existing building or replacement of existing building.

Research method is case study. The same case building – size, age, existing performance as well as renovation and new performance – studied at different regions. These are (1) growing city, (2) stable city and (3) shrinking city. Life cycle cost analysis bases on payback periods. The most important input data are the rent and occupancy rate on each area.

In growing cities, both renovation and replacement of existing buildings are feasible options. In other two areas, payback periods of renovations are rather long and acceptable only if building is in own use. Often retrofit is necessary because of the poor condition of the building.

This study looks at the subject only from building owners economical point of view and ties building to its location. Life cycle assessment (energy use and greenhouse gas emissions) has analysed earlier (Nippala and Heljo, 2010).

Analysis gives the most feasible option to different regions.

This study raises the debate on how realistic it is to expect the building stock to meet the EU’s energy saving and greenhouse cut targets.

The purpose of this paper is to explore the links between “informal economies” and the concept of “resistance.” The author argues that the petty illegalities of the dominated and subaltern classes should be seen in their connections to the illegalism of the élites and the state. Within this framework, the informal economy is seen as both the outcome of a set of material conditions aiming at the subordinated inclusion of entire classes of citizens, and the mark of the willingness by these same subalterns to evade the bonds imposed on them by the legislations and the social hierarchies.

A review of the ethnographical and socio-economical literature on the issue of informality, accompanied by ex-post reflections on pertinent studies conducted in the past by the researcher.

Against the dominant public rhetoric, the informal economy is here seen as a particular space of enactment by the dominated and subalterns aimed at self-producing paradoxical forms of inclusion within social contexts characterized by barriers to access integration within mainstream society. It is argued that in consideration of the power relations that structure the “field,” researchers themselves become part of the struggle counterpoising individuals and institutions, and should thus make a choice among the clashing parties.

The paper draws on a vast body of literature that appears to go in the same direction. However, it radicalizes the instances proposed by previous authors and studies, and draws conclusions concerning the nature of the object and the ethics of research, that are opposed to the prevalent approaches to the subject.

The concept of trust suffers from conceptual confusion. The current perspectives on trust within the B2B marketing domain could be visualised as a big box of which the borders are defined by the disciplines marketing, economics, psychology and sociology. The purpose of this paper is to enlarge the box by introducing neuroscientific insights on trust to the B2B marketing domain.

By a literature study on neuroscientific insights on trust, this paper examines how neuroscience can help to solve existing problems within trust research and how it can address problems that otherwise might not be considered.

The neural coordinates of trust not only show that trust entails cognitive and affective elements, but also that these elements are so intertwined that they cannot be completely separated. What can and should be separated are the concepts of trust and distrust: the neural coordinates of trust are clearly different from the neural coordinates of distrust. Furthermore, there are personal differences in the ease of trusting others, which are not only caused by previous experiences but also by differences in resting patterns of frontal electroencephalographic asymmetry and by differences in hormonal state.

Specifically, the neural difference between trust and distrust might shape the future research agenda for trust research within industrial marketing. It is likely that the process of distrust goes quick, whereas trust comes more slow. This is reflected in the dual processing theory, which is seen as a paradigm shift in the psychology of reasoning.

New perspectives and directions for trust research are presented. The distinction between trust and distrust is connected to approach- and avoidance-motivated behaviour, which is highly relevant for deepening the studies on trust within industrial marketing.