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A three-dimensional (3D) printed custom-fit respirator mask has been proposed as a promising solution to alleviate mask-related injuries and supply shortages during COVID-19. However, creating a custom-fit computer-aided design (CAD) model for each mask is currently a manual process and thereby not scalable for a pandemic crisis. This paper aims to develop a novel design process to reduce overall design cost and time, thus enabling the mass customisation of 3D printed respirator masks.

Four data acquisition methods were used to collect 3D facial data from five volunteers. Geometric accuracy, equipment cost and acquisition time of each method were evaluated to identify the most suitable acquisition method for a pandemic crisis. Subsequently, a novel three-step design process was developed and scripted to generate respirator mask CAD models for each volunteer. Computational time was evaluated and geometric accuracy of the masks was evaluated via one-sided Hausdorff distance.

Respirator masks were successfully generated from all meshes, taking <2 min/mask for meshes of 50,000∼100,000 vertices and <4 min for meshes of ∼500,000 vertices. The average geometric accuracy of the mask ranged from 0.3 mm to 1.35 mm, depending on the acquisition method. The average geometric accuracy of mesh obtained from different acquisition methods ranged from 0.56 mm to 1.35 mm. A smartphone with a depth sensor was found to be the most appropriate acquisition method.

A novel and scalable mass customisation design process was presented, which can automatically generate CAD models of custom-fit respirator masks in a few minutes from a raw 3D facial mesh. Four acquisition methods, including the use of a statistical shape model, a smartphone with a depth sensor, a light stage and a structured light scanner were compared; one method was recommended for use in a pandemic crisis considering equipment cost, acquisition time and geometric accuracy.

The main purpose of this study is to investigate the determinants of foreign exchange reserve accumulation in a foreign exchange constrained economy, namely Ethiopia, over the period of 1981 up to 2017.

In this study, autoregressive distributed lag (ARDL) model is used. Besides, standard unit-root tests such as augmented Dickey Fuller (ADF) and Phillips–Perron (PP) tests are employed to check for the stationarity of the series.

According to the results of unit-root tests, our variables are found to be a mixture of I(0) and I(1), and none of our series is I(2). The results of our ARDL model indicates, in the short run, foreign exchange reserve accumulation of Ethiopia is negatively and significantly affected by inflation rate and exchange rate. But, in the long run, inflation rate affects foreign exchange reserve positively and significantly. Additionally, in the long run, external debt affects foreign exchange reserve positively. Similar to its effect in the short run, exchange rate also affects foreign exchange reserve negatively in the long run.

This paper has its originality as it contributes in reasoning out the factors determining, both in the short-run and long-run, foreign exchange deficiency in any developing country with foreign exchange deficiency, taking Ethiopian economy as a case study, and fills the scarce literature on the determinants of foreign exchange reserve accumulation in a developing country.

The purpose of this paper is to elucidate the social information processing theory, which is extended by the (1) effect of whistleblowing education on whistleblowing intentions, (2) simultaneous examination of the indirect relationship between whistleblowing education and whistleblowing intentions via moral identity and (3) relativism in influencing this mediation.

Multi-wave data collected at three internals from bank employees (n = 294) were analyzed to test the proposed model.

Results of the study demonstrate that whistleblowing education favorably influences whistleblowing intentions directly as well as through moral identity. Relativism serves as the buffer in the indirect effects of whistleblowing education on whistleblowing intentions through moral identity attenuating these indirect effects in individuals with dominant relativism level.

This study strives to extend the whistleblowing education and whistleblowing intentions literature by unpacking a moral identity mechanism through which whistleblowing education kindles whistleblowing intention and relativism as boundary condition to attenuate such motivation.

The present study aims to develop a strategic business performance (SBP) model for larger firms by examining the mediating role of structural flexibility in the network capability–SBP link, as well as testing the moderating role of entrepreneurial orientation in the relationship between structural flexibility and SBP.

Data were collected from 929 senior managers/owners of large textile sector firms operating in Pakistan. Regression and bootstrapping techniques were used to test the proposed relationships.

The results revealed that network capability positively shapes firms' structural flexibility, which, in turn, helps firms achieve SBP. The present work also showed that entrepreneurial orientation strengthens the positive relationship between structural flexibility and SBP.

This study is based on the cross-sectional data, and data were collected from the textile sector firms operating in Pakistan.

The findings suggest that managers should focus on developing firms' network capability, which positively shapes structural flexibility and helps firms achieve SBP. Entrepreneurial orientation can also play an imperative role for strengthening the link between structural flexibility and SBP.

The value of the present work rests on the deeper understanding of the network capability–SBP link that it offered by examining the relationships of the network capability dimensions with SBP through structural flexibility. Moreover, by bringing to the fore firms' entrepreneurial orientation as a moderator of the structural flexibility–SBP relationship, the study provided a new vantage point to uncover the complexities involved in the links between network capability, structural flexibility, and SBP.

This paper aims to model the mediating effects of facilitating conditions and innovativeness in the industrial Internet of Things (IIoT) and blockchain technology (BT) on manufacturing supply chain performance (MSCP).

Partial least square structural equation modelling was used to test the goodness of the model fit and hypotheses by using SmartPLS 3.3.3. Data was collected from 464 managers in Pakistan’s automotive industry through a stratified random sampling technique.

IIoT, BT, facilitating conditions and innovativeness significantly enhanced the MSCP. Therefore, the mediation between facilitating conditions and innovativeness to IIoT and BT adoption was significant in the MSCP.

The adoption of digital technology to improve the MSCP can assist companies in reducing the cost of complex procurement, production and distribution processes through secured and efficient operations. Furthermore, organisations must establish a conducive atmosphere that fosters experimentation, collaboration and resource allocation towards technological advancements to capitalise on the advantages of these technologies effectively.

This study developed a research model integrating IIoT technology, BT, facilitating conditions and innovativeness to determine the MSCP under the resource-based view theory. The outcome of this study could help organisations design a framework to improve supply chain performance by integrating innovativeness.

This paper aims to investigate the spillover effects of jump and crash events among Chinese nonfinancial firms.

This sample consists of more than 1.5 million weekly observations of over 3,000 Chinese listed firms over the period 1991–2015. The authors utilize univariate tests to compare the post-event performance of matched peer and non-peer control firms and cross-sectional regressions of their abnormal returns/cumulative abnormal returns (ARs/CARs) and returns on assets (ROAs).

The authors find that extreme risk-adjusted abnormal stock returns (stock price crashes and jumps) generate statistically significant ARs/CARs in the same directions in industry, size, leverage, and geographical location matched peer firms in Chinese stock market. Further tests reveal that peer firms' response to the crash event is pronounced more in the group of firms about which the information asymmetry is high between investors and firms.

Portfolio investors can adjust their portfolios accordingly by selling stocks of the matching rival firms during a crash period. Policymakers may develop policies so as to protect the interests of small investors in the events of crashes in the markets. They can reduce the information asymmetry between the firms and the investors by making information about the firms more transparent, so as to reduce the contagion in case of crash event.

This study has important implications for portfolio investment managers and policymakers.

To the best of authors' knowledge, this is the first study that combines the jump and crash events and attempts to assess their spillover effects on other firms in Chinese stock market.

This study aims to investigate the impact of authentic leaders on the performance of educational leaders in public and private universities in Pakistan. The study further examines the moderating role of social capital in this relationship.

The authors collected data from 259 academic heads of public and private universities and tested hypotheses using macro PROCESS.

The findings demonstrate that authentic leaders have a significant positive effect on team leader performance in both public and private universities. In addition, the authors establish that the positive impact of authentic leaders on team leader performance is stronger among employees with high social capital.

The education literature lacks evidence of the process through which authentic leaders influence team leader performance. The study is unprecedented in assessing whether social capital moderates the direct influence of authentic leaders on team leader performance.

This study aims to examine how religion affects corporate innovation in developing countries.

Firm- and country-level indicators are used to evaluate the relationship. The study's final sample consists of manufacturing firms from 41 developing countries across different world regions from 2014 to 2018.

This paper finds that firms operating in more religiously diverse countries with lower religious restrictions are likely to be more innovative. Furthermore, secularization stimulates corporate innovation in contrast to traditional religious societies. Interestingly, results also indicate that religion hinders corporate innovation by restraining its followers’ involvement in innovative activities under risk, which downgrades corporate innovation culture.

This study used data from nonfinancial firms from developing countries; therefore, the study's findings could be generalized to other developing economies with caution, as economies operating at different stages of development can have different outcomes from the proposed relationship. The study findings are important for innovative firms, as they can take advantage by segmenting the population based on religious and atheist groups. Results also have some implications for developing countries to foster firm-level innovation through constructing effective policies and ensuring the development of diverse and free religious societies because such societal traits increase corporate innovation and are fruitful for national competitiveness and growth.

This study contributes to institutional economics and corporate innovation by exploring the link between religion and economic development through the innovation channel and analyzing the latest cross-country evidence. It is a pioneering work in empirical comparison of influence on innovations of different religions.

Technology has emerged as a leading tool to address concerns regarding climate change in the recent era. As a result, the green mobile application – Ant Forest – was developed, and it has considerable potential to reduce negative environmental impacts by encouraging its users to become involved in eco-friendly activities. Ant Forest is a novel unexplored green mobile gaming phenomenon. To address this gap, this study explores the influence of user experience (cognitive experience and affective experience), personal attributes (affection and altruism) and motivational factors in game play (reward for activities and self-promotion) on the continuation intention toward Ant Forest.

The authors assessed the data using partial least squares structural equation modeling (PLS-SEM) for understanding users' continuation intention toward Ant Forest.

Through a survey of 337 Ant Forest users, the results reveal that cognitive and affective experiences substantially affect Ant Forest continuation intention. Personal attributes and motivational factors also stimulate users to continue using Ant Forest.

The authors build and confirm a conceptual framework to understand users' continuation intention toward a novel unexplored Ant Forest phenomenon.

The purpose of this study is to empirically quantify the factors that are perceived to drive or inhibit performance of information technology (IT) outsourced employees from a range of information technology outsourcing (ITO) stakeholders in South Africa.

The first phase was a qualitative study on 19 stakeholders focussed on the development of the constructs. The second phase was quantitative, with a sample of 116 ITO stakeholders of the largest IT company in South Africa.

The study revealed that the ITO stakeholders had misaligned perceptions on inhibitors and somewhat congruent perceptions with regards to drivers of performance. Managers and poor performers’ perceptions of inhibiting factors of performance were significantly different. The empirical evidence showed that the key drivers of performance were intrinsic factors and leadership, whilst the inhibiting factors were mainly related to poor leadership.

The major limitation was that the population was represented by one large organisation in the South African IT industry and its clients, thereby excluding the rest of the IT industry participants, specifically the medium and small IT companies. The quota sample resulted in a non-probability study, and thus, the results of this study may not necessarily be generalised to other populations. This study’s findings on differences between good and poor performers must be investigated in other industries.

For outsourced employees to perform optimally, some key intrinsic factors must be fulfilled. Passion and pride, aligned to a meaningful job role, will unleash outstanding performance. Organisations need to ensure that there is regular feedback to managers on their performance and subsequent leadership development. Alignment of managers and poor performers’ perceptions on drivers and inhibitors could improve performance.

These findings demonstrate the large gap in perceptions about the key drivers and inhibiters of performance.

The study reveals that top performers tend to have higher order and intrinsic motivators, compared to poor performers, who have a mixture of extrinsic and intrinsic needs, and managers have a misaligned expectation of extrinsic motivators.