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This study aims to investigate the thermal fracture mechanism of moisture-preconditioned SAC305 ball grid array (BGA) solder joints subjected to multiple reflow and thermal cycling.

The BGA package samples are subjected to JEDEC Level 1 accelerated moisture treatment (85 °C/85%RH/168 h) with five times reflow at 270 °C. This is followed by multiple thermal cycling from 0 °C to 100 °C for 40 min per cycle, per IPC-7351B standards. For fracture investigation, the cross-sections of the samples are examined and analysed using the dye-and-pry technique and backscattered scanning electron microscopy. The packages' microstructures are characterized using an energy-dispersive X-ray spectroscopy approach. Also, the package assembly is investigated using the Darveaux numerical simulation method.

The study found that critical strain density is exhibited at the component pad/solder interface of the solder joint located at the most distant point from the axes of symmetry of the package assembly. The fracture mechanism is a crack fracture formed at the solder's exterior edges and grows across the joint's transverse section. It was established that Au content in the formed intermetallic compound greatly impacts fracture growth in the solder joint interface, with a composition above 5 Wt.% Au regarded as an unsafe level for reliability. The elongation of the crack is aided by the brittle nature of the Au-Sn interface through which the crack propagates. It is inferred that refining the solder matrix elemental compound can strengthen and improve the reliability of solder joints.

Inspection lead time and additional manufacturing expenses spent on investigating reliability issues in BGA solder joints can be reduced using the study's findings on understanding the solder joint fracture mechanism.

Limited studies exist on the thermal fracture mechanism of moisture-preconditioned BGA solder joints exposed to both multiple reflow and thermal cycling. This study applied both numerical and experimental techniques to examine the reliability issue.

This study analyses the effects of firm efficiency on firm performance and how controlling shareholders moderate the link between the two variables.

This study employs data envelopment analysis to estimate firm efficiency and the panel regression method to assess the hypothesised relationships among 1,295 firm-year observations of publicly listed firms in Malaysia from 2015 to 2019.

The results indicate that firm efficiency (technical efficiency, pure technical efficiency and scale efficiency) has mixed relationships with firm performance (return on assets, market-to-book ratio and operating cash flows), all of which are being moderated by controlling shareholdings.

This study highlights the importance of assessing firm efficiency as the key success factor for improving firm performance. Industrial managers should manage efficiently their resources or operating costs in achieving their corporate financial goals. Moreover, this study notes the presence of controlling shareholders, who can be either self-interested or company goal aligned.

This study suggests becoming efficient in transforming inputs into outputs is a prerequisite before investigating accrual-based and cash-based firm performance measures, and the presence of controlling shareholders matters in these regards.

This study focuses on the key success factors (KSFs) for strategy implementation in the fisheries industry in Iceland identified by chief executive officers within the industry. The purpose is to provide a comprehensive categorization of KSFs that influence how strategy is mobilized. The secondary aim is to uncover the level of priority that companies place on the dimensions of the United Nations (UN) Sustainable Development Goals (SDGs).

The methodology involves qualitative case studies based on in-depth elite interviews with nine chief executive officers of Icelandic fishing companies.

The research indicates strategy implementation can be improved in four main areas. First, by engaging and involving all employees in the implementation process. Second, by enhancing bottom-up innovation and communication. Third, through alignment of the corporate strategy and the UN SDGs, and fourth, by following rigorous action plans with clear, measurable and prioritized objectives and timeframes for the managers to follow. These improvements have both theoretical and practical implications for the fishing industry. Consequently, a conceptual framework for integrated strategy implementation in the fisheries industry is proposed.

A limited number of in-depth elite interviews were conducted since access to the chief executive officers of the country’s largest fishing companies proved challenging. However, the nine companies collectively hold nearly 50% of the country’s total quota, thereby proving a deep understanding of the topic relevant to the industry. The research uncovered a substantial cross-section of viewpoints, and as such, the results are relevant for both academia and practitioners alike.

This study contributes to the debate on KSFs relevant to strategy implementation within a specific industry but also aligns with the UN SDGs by proposing a dedicated framework for implementing strategies in the fisheries industry. Overall, this study can help managers achieve strategy implementation.

This study aims to explore the boundary conditions of the relationship between challenge-hindrance stressors and innovative work behavior via task crafting and psychological detachment.

The data were collected from 238 questionnaires in five technology R&D enterprises in Tianjin, China. The paper utilized structural equation modeling and cross-sectional design to test hypotheses by AMOS and examined the mediating and moderating effects using the bootstrapping method by SPSS.

Challenge stressors indirectly improved innovative work behavior via task crafting, while hindrance stressors did not affect task crafting or innovative work behavior. Psychological detachment moderated the relationship between challenge stressors and innovative work behavior. When psychological detachment was high, innovative work behavior did not change regardless of challenge stressors. When psychological detachment was low, innovative work behavior increased with the increase of challenge stressors.

The study explains the link mechanism between stressors and innovative work behavior. It enriches the research on psychological detachment as a moderator and provides a new frame for enterprises to develop employees' innovation.

The purpose of this study is to investigate the thermoforming process of 3D-printed parts made from polylactic acid (PLA) and explore its application in producing wrist-hand orthoses. These orthoses were 3D printed flat, heated and molded to fit the patient’s hand. The advantages of such an approach include reduced production time and cost.

The study used both experimental and numerical methods to analyze the thermoforming process of PLA parts. Thermal and mechanical characteristics were determined at different temperatures and infill densities. An equivalent material model that considers infill within a print is proposed. Its practical use was proven using a coupled finite-element analysis model. The simulation strategy enabled a comparative analysis of the thermoforming behavior of orthoses with two designs by considering the combined impact of natural convection cooling and imposed structural loads.

The experimental results indicated that at 27°C and 35°C, the tensile specimens exhibited brittle failure irrespective of the infill density, whereas ductile behavior was observed at 45°C, 50°C and 55°C. The thermal conductivity of the material was found to be linearly related to the temperature of the specimen. Orthoses with circular open pockets required more time to complete the thermoforming process than those with hexagonal pockets. Hexagonal cutouts have a lower peak stress owing to the reduced reaction forces, resulting in a smoother thermoforming process.

This study contributes to the existing literature by specifically focusing on the thermoforming process of 3D-printed parts made from PLA. Experimental tests were conducted to gather thermal and mechanical data on specimens with two infill densities, and a finite-element model was developed to address the thermoforming process. These findings were applied to a comparative analysis of 3D-printed thermoformed wrist-hand orthoses that included open pockets with different designs, demonstrating the practical implications of this study’s outcomes.

During the COVID-19 pandemic in 2020–2021 in Indonesia, the indoor environmental quality (IEQ) of local houses occupied by infected occupants was adversely affected. This paper aims to appraise the IEQ of the affected Banda Aceh houses with insights into enabling them to be resilient against the negative impacts of the pandemic.

Quantitative field measurement in the case study of five concrete houses located in urban areas which are affected by IEQ factors: (1) indoor air quality (IAQ), (2) thermal comfort and (3) visual comfort, compared against the Indonesian National standard (SNI). The case study involved measurement of the first two factors over 24 h, while the third factor was measured during sun hours. Considering the limitations of the measuring tools for logging available data in this research, air quality is measured from 8 am to 10 pm.

Thermal comfort in the affected houses is generally regarded as warm, optimal and cool comfort, indicated by the effective temperatures of between 20.5 and 27.1°C. Frequently closed windows, limited land area and access had caused a lack of air circulation, with air velocity of dominantly 0 m/s in the houses. The illuminance of natural light received in three houses was insufficient – less than 120 lux as compared with the other two. This study found an uptrend of higher air temperature and relative humidity in the affected houses resulting in poorer IAQ; conversely, the higher the air velocity in the houses, the fewer the indoor air pollutants such as formaldehyde (HCHO), total volatile organic compounds (TVOC) and carbon dioxide (CO₂₎.

This study is a pioneer in evaluating IEQ in houses occupied by COVID-19 patients in Indonesia, especially in dwelling cases in Aceh Province. It also encompasses environmental and societal challenges to sustaining resilient buildings in pandemic hit regions.

Online employee reviews have emerged as a crucial information source for business managers to evaluate employee behavior and firm performance. The purpose of this paper is to test the relationship between employee personality traits, derived from online employee reviews and job satisfaction and turnover behavior at the individual level.

The authors apply text-mining techniques to extract personality traits from online employee reviews on Indeed.com based on the Big Five theory. They also apply a machine learning classification algorithm to demonstrate that incorporating personality traits can significantly enhance employee turnover prediction accuracy.

Personality traits such as agreeableness, conscientiousness and openness are positively associated with job satisfaction, while extraversion and neuroticism are negatively related to job satisfaction. Moreover, the impact of personality traits on overall job satisfaction is stronger for former employees than for current employees. Personality traits are significantly linked to employee turnover behavior, with a one-unit increase in the neuroticism score raising the probability of an employee becoming a former employee by 0.6%.

These findings have implications for firm managers looking to gain insights into employee online review behavior and improve firm performance. Online employee review websites are recommended to include the identified personality traits.

This study identifies employee personality traits from automated analysis of employee-generated data and verifies their relationship with employee satisfaction and employee turnover, providing new insights into the development of human resources in the era of big data.

This research aims to investigate the influence of building design on the thermal comfort of occupants of naturally ventilated hospital (NVH) wards to identify the aspects with the most significant influence on the thermal comfort of hospital buildings during the hot-dry season in the hot-humid tropics of Southeast Nigeria.

Field measurements, physical observations and a questionnaire survey of 60 occupants of the wards of the Joint Presbyterian Hospital, Uburu in Ebonyi State, Nigeria were undertaken. The data were analysed using Humphreys' neutral temperature formula, descriptive statistics and multiple regression analysis.

The results revealed that the neutral temperature for the wards ranges from 26.2 °C to 29.9 °C, the thermal condition in the wards was not comfortable because it failed to meet the ASHRAE Standard 55 as only 65% of the occupants said the thermal condition was acceptable. The number and sizes of windows, building orientation, the presence of high-level windows and higher headroom significantly influenced the occupants' thermal comfort vote.

This research is valuable in estimating comfort temperature and identifying aspects that require attention in enhancing the capacity of NVH wards to effectively meet the thermal comfort needs of occupants in the hot-humid tropics of Southeast Nigeria and other regions that share similar climatic conditions.

To the best of the authors’ knowledge, this is the first study of this nature that provides valuable feedback for building design professionals on the performance of existing hospital buildings in meeting users' thermal comfort needs in the hot-dry season of the hot-humid tropics in Southeast Nigeria.

Equity, diversity, inclusion and accessibility (EDIA) are the core values of librarianship. This study aims to examine the EDIA literature in the library and information science (LIS) profession, focusing on publishing trends, authorship patterns, thematic evolution, co-occurrence network, international collaboration network and three-factor analysis.

A scientometrics analysis was performed, and data were retrieved from the Web of Science database following a four-phase data extraction and filtration process. Data analysis was performed using specialized scientometrics tools.

Most of the published work comes from the developed world. The thematic evolution identified that the initial period (1971–2010) was dedicated to the diversity of library resources, services and users. The second phase (2011–2015) concentrated on accessibility and information literacy. The recent period (2016–2021) is linked with social inclusion, diversity and accessibility. Furthermore, the co-cluster citation and content analysis identified five major interconnected streams in the EDIA literature in LIS: disability and accessibility; diversity, inclusion and recruitment; social justice and libraries; libraries and immigrants; and libraries and the lesbian, gay, bisexual, transgendered, queer community.

Theoretical, practical and implications for policy makers and curriculum developers were added to create awareness and better observe EDIA in LIS field.

The identification of research streams is one of the most important findings of this study, which shows that some areas of EDIA are maturing and others are emerging in the profession.

The objective of this study was to investigate the impacts of personality traits and the ability to detect fake news on information avoidance behavior. It also examined the effect of personality traits on the ability to detect fake news.

The sample population included Shiraz University students who were studying in the second semester of academic year 2021 in different academic levels. It consisted of 242 students of Shiraz University. The Big Five theory was used as the theoretical background of the study. Moreover, the research instrument was an electronic questionnaire consisting of the three questionnaires of the ability to detect fake news (Esmaeili et al., 2019, inspired by IFLA, 2017), the Big Five personality traits (Goldberg, 1999) and information avoidance (Howell and Shepperd, 2016). The statistical methods used to analyze the data were Pearson correlation and stepwise regression, which were performed through SPSS software (version 26).

The results showed that from among the five main personality factors, only neuroticism had a positive and significant effect on information avoidance. In addition, the ability to detect fake news had a significant negative effect on information avoidance behavior. Further analyses also showed positive and significant effects of openness to experience and extraversion on the ability to detect fake news. In fact, the former had more predictive power.

Following the Big Five theory considering COVID-19 information avoidance and the ability to detect COVID-19 fake news, this study shifted the focus from environmental factors to personality factors and personality traits. Furthermore, this study introduced the ability to detect fake news as an influential factor in health information avoidance behaviors, which can be a prelude for new research studies.

The present study applied the five main personality factors theory in the context of information avoidance behavior and the ability to detect fake news, and supported the effect of personality traits on these variables.