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The border closure and lockdowns due to Covid-19 pandemic resulted in partial closure of many industrial and commercial complexes, halted the performance of key strategic sectors such as logistics and supply chains, and thus disrupted the global value chains and the economy. The authors argue, however, that the pursuit of survival has driven companies to innovate and use digitization to overcome the negative consequences of the pandemic. More specifically, in this paper the authors aim to assess the success and challenges faced by companies in digitization policy design, adoption and implementation and their effects on firms’ operation, outputs and customer base during Covid-19.

Sixty-one samples of the companies surveyed between 10 January and 30 April 2021 were analyzed, using the Krushkal–Wallis test and Independent-Samples Mann–Whitney U test to identify the relationships between variables including operation, overall output, customer base, digitization policy, technology use and implementation costs of new technologies.

Results revealed a positive impact of digitization on the operation and overall outputs, while no effect was observed on the customer base. Analysis also showed that only 1.8% of companies were able to fully implement digitization, and that the cost of technology prevented most companies from using emerging technology or implementing their digitization policy.

While the research has practical implications, it is not without flaws. For instance, the outcome of technology varies as per geographic area and people. The study was conducted in the Sultanate of Oman, a developing country in the Middle East region; therefore, it is difficult to generalize the outcomes suited to developed countries. The developed countries usually have a population quite used to the advanced technologies so some of the issues raised in the study might not work in the logistics and supply chain sectors of the developed countries. Such countries need separate studies.

The findings will have implications for both supply chain companies as well as the technology providers. The supply chain companies will invest in technology infrastructure and add technology as an important component in their business models. The technology providers will consider the costs of implementation and adoption issues of technology in the supply chain companies.

To the best of authors' knowledge, no work has been produced on logistics and supply chain companies considering the technological sustainability during the time of Covid-19. The study will improve understanding of the digitization policy design, adoption and implementation and their effects on logistics and supply chain companies’ performance.

This paper aims to provide empirical evidence for using the prospect theory (PT) basic assumptions in the Argentine context. Mainly, this study analysed the financial decision-making process in students of the economic-administrative academic area of two universities, one public and one private, in Córdoba.

The analysis methodology included (1) the descriptive statistical analysis to identify the presence of the certainty, reflection and isolation effects; (2) the construction of a set of indicators on the application of the PT; (3) the chi-squared independence test, to determine if the decisions made are independent of the degree course taken; (4) the non-parametric Kruskal–Wallis test, to determine if the decisions made by individuals vary according to the semesters taken or students' levels of progress; and (5) the non-parametric Mann–Whitney test, to determine if there are differences between the decisions made by men and women.

The empirical results provided evidence on the effects of certainty, reflection and isolation in both universities, concluding that the study participants make financial decisions in situations of uncertainty based more on PT than on expected utility theory.

This study contributes to the empirical evidence in a different Latin-American context, confirming that individuals make financial decisions based on the PT independently of their degree course, semester, level of advance, gender or the kind of university where they belong (public or private).

To construct a scientific and reasonable indicator system, it is necessary to design a set of standardized indicator primary selection and optimization inspection process. The purpose of this paper is to provide theoretical guidance and reference standards for the indicator system design process, laying a solid foundation for the application of the indicator system, by systematically exploring the expert evaluation method to optimize the index system to enhance its credibility and reliability, to improve its resolution and accuracy and reduce its objectivity and randomness.

The paper is based on system theory and statistics, and it designs the main line of “relevant theoretical analysis – identification of indicators – expert assignment and quality inspection” to achieve the design and optimization of the indicator system. First, the theoretical basis analysis, relevant factor analysis and physical process description are used to clarify the comprehensive evaluation problem and the correlation mechanism. Second, the system structure analysis, hierarchical decomposition and indicator set identification are used to complete the initial establishment of the indicator system. Third, based on expert assignment method, such as Delphi assignments, statistical analysis, t-test and non-parametric test are used to complete the expert assignment quality diagnosis of a single index, the reliability and validity test is used to perform single-index assignment correction and consistency test is used for KENDALL coordination coefficient and F-test multi-indicator expert assignment quality diagnosis.

Compared with the traditional index system construction method, the optimization process used in the study standardizes the process of index establishment, reduces subjectivity and randomness, and enhances objectivity and scientificity.

The innovation point and value of the paper are embodied in three aspects. First, the system design process of the combined indicator system, the multi-dimensional index screening and system optimization are carried out to ensure that the index system is scientific, reasonable and comprehensive. Second, the experts’ background is comprehensively evaluated. The objectivity and reliability of experts’ assignment are analyzed and improved on the basis of traditional methods. Third, aim at the quality of expert assignment, conduct t-test, non-parametric test of single index, and multi-optimal test of coordination and importance of multiple indicators, enhance experts the practicality of assignment and ensures the quality of expert assignment.

This work aims to investigate the current financial structure of Italian agri-food micro, small and medium enterprises (MSMEs) to understand how MSMEs face innovation challenges, which are also required to support sustainable development.

To reach the goal, an empirical longitudinal analysis is performed on a sample of Italian agri-food firms. In detail, to highlight the changes in the use of financial sources between 2013 and 2019, a descriptive ratio analysis is carried out on the data extracted by the AIDA database. In addition, statistical analyses were performed, including t-tests and U Mann–Whitney. Finally, a fixed-effects model is created to analyse the panel data. To ensure homogeneity, the sub-sectors of production and transformation are separately considered.

The financial structure analysis shows an increase in the equity percentage in the funding sources, attributable to an attempt to compensate for the reduction of banks' funding. However, even though this change has not compromised firms' profitability, the undercapitalisation of companies is still present. Therefore, more equity investments are required to support the innovation process.

The value of the present research is to highlight the choice of using new alternative financing sources instead of traditional banks' credit to implement sustainable and innovative development Italian agri-food sector (AFS). This choice is forced by reducing finance from banks and other financial institutions because of the credit crunch. This issue is even more relevant, considering that MSMEs have structural financial problems but have to fulfil the mission of pursuing innovation in the same way as large companies. Therefore, this paper expands the literature on agri-food, delving into an issue typical of MSMEs and combining agri-food with the need for innovation.

This study aims to examine factors that determine the adoption of additive manufacturing by small- and medium-sized industries. It provides insights with regard to benefits, challenges and business factors that influence small- and medium-sized industries when adopting this technology. The study also aims to expand the domain of additive manufacturing by including a broader range of challenges and benefits of additive manufacturing in literature.

Using data collected from 175 small- and medium-sized industries, the study has examined through Mann–Whitney test to understand the difference between owners and design engineers on additive manufacturing technology adoption in small- and medium-sized companies.

This study suggests contribution to academic discussion by providing associated factors that have significant impact on the adoption of additive manufacturing technology. Related advantages of additive manufacturing are reduction in inventory cost, lowering the wastage in production and customization of products. The study also indicates that factors such as cost of machinery, higher level of cost in integrating metal components have a negative impact on the adoption of this technology in small- and medium-sized industries.

Because of the chosen research approach, the research results may lack generalizability. Therefore, researchers are encouraged to test the proposed propositions further in the field of challenges and growth in other areas of application of additive manufacturing, for instance, medical sciences, fabric and aerospace.

The study provides important implications that are of interest for both research and practitioners, related to technology management in small- and medium-sized industries, e.g. foundry and machining industries.

This work/study fulfills an identified need of the small- and medium-sized companies in adopting new technologies and contribute to their growth by understanding the need to accept and implement technology.

This paper fulfills an identified need to study how small- and medium-scale companies accept new technologies and factors associated with implementation in the manufacturing process of the organization.

This study aims to examine the economic consequences of the adoption of International Financial Reporting Standards (IFRS) in Saudi Arabia. More specifically, the study examines the impact of the mandatory adoption of IFRS on the accounting-based performance measures.

Data on study variables were obtained manually from the published financial statements of 67 of listed companies in the Saudi stock market during the period 2014–2019. The study addressed the research hypotheses by comparing the accounting-based performance measures computed under the Saudi accounting standards for three years (2014–2016) before the mandatory adoption of IFRS and the corresponding three years (2017–2019) after the mandatory adoption of IFRS. The Mann–Whitney U Test was used to investigate the significance of differences between the values of performance measures in the pre- and post-mandatory adoption periods.

The findings of the study revealed that there were no significant differences between the values of accounting-based performance measures related to the three performance categories (i.e. profitability, liquidity and leverage) in the post-mandatory adoption period (IFRS) compared to the values of these measures in the pre-mandatory adoption period (Saudi accounting standards).

The results of the study indicated that there is a good convergence between the Saudi accounting standards that were implemented before 2017 and the IFRS that began to be applied starting from 2017. This convergence resulted in a low significant impact of IFRS on the financial statements of companies and then on the accounting-based performance measures calculated from them. However, this study suffers from some limitations, the most important of which is the small sample size as a result of the small number of listed companies in the Saudi market during the study period.

Although the impact of the adoption of IFRS have always been a subject of intense research in developed countries, the study of the impact of the adoption of IFRS in developing countries still limited. This study contributes to the literature by examining the economic consequences of adopting IFRS in Saudi Arabia as one of developing countries.

This study examined the prevalence and relationship between addictive use of smartphones and symptoms of depression and anxiety among female undergraduates.

Standardized scales were used to measure the addictive use of smartphones, depression and anxiety among 398 female students (mean age 21.75 years, SD = 2.67) at two large higher institutions in southwest Nigeria and were opportunely sampled. Two hypotheses were tested using Spearman's rho and Mann–Whitney U tests.

The results showed that 1.01% of the respondents were probable smartphone addicts and 17.34% were at-risk, while 14.32% and 16.33% manifested symptoms of anxiety and moderate-to-severe depression, respectively. Depression (r = 0.24, p < 0.01) and anxiety (r = 0.21, p < 0.01) have significant relationship with addictive use of smartphone. Addictive/at-risk smartphone users significantly scored higher on symptoms of depression (average rank of 233.40) than normal smartphone users (average rank of 191.88); U = 9387.50; z = −2.81, p < 0.05; Also, addictive/at-risk smartphone users reported significantly higher level of anxiety (average rank of 229.27) than normal smartphone users (average rank of 192.81); U = 9689.00; z = −2.46, p < 0.05.

Generalizing these results to a clinical setting and other at-risk demographic groups might prove difficult due to the respondents' condition of homogeneity.

The findings suggest that relationships exist between the addictive use of smartphones and symptoms of depression and anxiety among undergraduate students in southwest Nigeria. Clinicians should assess smartphone use in the management of depression and anxiety disorders.

University administrators should target prevention and intervention strategies that would assist students to be taught positive ways of using their smartphones.

The study contributes to the body of knowledge by revealing relationships between smartphone addiction and mental health in an African sample.

The purpose of this paper is to report the change in students' STEM perceptions in two different informal learning environments: an online STEM camp and a face-to-face (FTF) STEM camp.

For this quasi-experimental study, 26 students participated in an online STEM summer camp and another 26 students participated in the FTF STEM camp. Students from each group took the same pre- and post-STEM Semantics Survey documenting their perceptions of the individual STEM fields and of STEM careers. Wilcoxon Signed-Rank tests, Mann–Whitney U tests and corresponding effect sizes were used to compare the pre- and post-scores within and between the camps.

Results indicate that both camps produce similar outcomes regarding STEM field and career perceptions. However, analysis of all statistical values indicates that the online STEM camp can produce a larger positive influence on STEM field perceptions and the FTF camp can produce a larger positive influence on STEM career perceptions.

This suggests that STEM camps, both online and in-person, can improve students' perceptions of the STEM fields and of STEM careers. Implications from this study indicate that modifications of informal learning environments should be based on the type of learning environment.

This manuscript discusses the development and impact of an online STEM camp to accommodate for the sudden onset of the COVID-19 pandemic and the inability to hold an in-person STEM camp. These results may influence the curriculum and organization of future online and FTF STEM camps.

Treatment satisfaction of different mental disorders is still poorly understood, but of high clinical interest. Inpatients of a general psychiatric care hospital were asked to fill out questionnaires on satisfaction and clinical variables at admission and discharge. On the basis of an exploratory approach, differences in treatment satisfaction among diagnostic groups were examined by means of one-way analysis of variance. Potential associated clinical and socio-demographic variables were studied using multi/univariate tests. Patients with personality disorders (n=18) showed a significantly lower treatment satisfaction (ZUF-8, Zurich Satisfaction Questionnaire) and a slightly lower improvement of symptoms (CGI, Clinical Global Impression) and global functioning (GAF, Global Assessment of Functioning scale) than that of other diagnostic groups (n=95). Satisfaction in patients with personality disorders correlated much stronger with the symptom improvement and slightly with the functioning level than in patients without personality disorders. Interestingly, in patients with personality disorders psychopharmacological treatment in general (present versus not present) was independent from satisfaction. This exploratory investigation suggests that a lower satisfaction of patients with personality disorders in a general psychiatric hospital is mainly based on a reduced improvement of the symptoms and of the global functioning level.