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Although wire‐bonding is an established and well‐known technique for micro‐joining on leadframes, direct die‐attach without housing on printed circuit boards has some new requirements for the surface of the bond pads and the PCB itself. The best choice of material for the bond pads is a pure gold metallisation. The quality of the surface can be tested during wire‐bonding using the ultrasonic‐power process window. It will be shown that the surface and the PCB itself have a considerable influence on the ultrasonic and thermosonic bonding process.

The influence of process heat, with regard to wire‐ and substrate‐materials, on the adhesion of wire‐bonds was investigated. Temperature increases up to 200°C were measured on the interface between surface and wire. This temperature is the basis for demonstrating the important influence of dissipated process heat on the cold welding process of wire‐bonding. Complementary calculations to evaluate the equation of thermal conductivity were carried out using the finite element (FE) method. Bonding tests were able to verify the calculations. These thermodynamical considerations give us a new method to optimize the construction and the choice of materials within the wire‐bond process.

Bibliometrics is one of the research fields in library and information science that deals with the analysis of academic entities. In this regard, to gauge the productivity and popularity of authors, publication counts and citation counts are common bibliometric measures. Similarly, the significance of a journal is measured using another bibliometric measure, impact factor. However, scarce attention has been paid to find the impact and productivity of conferences using these bibliometric measures. Moreover, the application of the existing techniques rarely finds the impact of conferences in a distinctive manner. The purpose of this paper is to propose and compare the DS-index with existing bibliometric indices, such as h-index, g-index and R-index, to study and rank conferences distinctively based on their significance.

The DS-index is applied to the self-developed large DBLP data set having publication data over 50 years covering more than 10,000 conferences.

The empirical results of the proposed index are compared with the existing indices using the standard performance evaluation measures. The results confirm that the DS-index performs better than other indices in ranking the conferences in a distinctive manner.

Scarce attention is paid to rank conferences in distinctive manner using bibliometric measures. In addition, exploiting the DS-index to assign unique ranks to the different conferences makes this research work novel.

The purpose of this paper is to examine the mediating role of stress between work intensification and musculoskeletal disorders (MSDs) focusing on personal support workers (PSWs) in home and community care.

The analysis sample of 922 comes from the 2015 survey of PSWs employed in Ontario, Canada. The endogenous variable is self-reported MSDs, and the exogenous variable is work intensification. Stress, measured as symptoms of stress, is the mediating variable. Other factors shown in the literature as associated with stress and/or MSDs are included as control variables. Structural equation model regression analyses are presented.

The results show that stress mediates the effect of work intensification on PSW’s MSDs. Other significant factors included being injured in the past year, facing hazards at work and preferring less hours – all had positive and significant substantive effects on MSDs.

The survey is cross-sectional and not longitudinal or experimental in design, and it focuses on a single occupation in a single sector in Ontario, Canada and, as such, this can limit the generalizability of the results to other occupations and sectors.

For PSW employers including their human resource managers, supervisors, schedulers and policy-makers, the study recommends reducing work intensification to lower stress levels and MSDs.

The findings of this study contribute to the theory and knowledge by providing evidence on how work intensification can affect workers’ health and assist decision makers in taking actions to create healthy work environments.

The purpose of this study is to identify the key data categories and characteristics defined by asset information requirements (AIR) and how this affects the development and maintenance of an asset information model (AIM) for a blockchain-based digital twin (DT).

A mixed-method approach involving qualitative and quantitative analysis was used to gather empirical data through semistructured interviews and a digital questionnaire survey with an emphasis on AIR for blockchain-based DTs from a data-driven predictive analytics perspective.

Based on the analysis of results three key data categories were identified, core data, static operation and maintenance (OM) data, and dynamic OM data, along with the data characteristics required to perform data-driven predictive analytics through artificial intelligence (AI) in a blockchain-based DT platform. The findings also include how the creation and maintenance of an AIM is affected in this context.

The key data categories and characteristics specified through AIR to support predictive data-driven analytics through AI in a blockchain-based DT will contribute to the development and maintenance of an AIM.

The research explores the process of defining, delivering and maintaining the AIM and the potential use of blockchain technology (BCT) as a facilitator for data trust, integrity and security.

This paper aims to explore drivers of the effectiveness of risk assessments in risk workshops.

This study uses an agent-based model to simulate risk assessments in risk workshops. Combining the notions of transactive memory and the ideal speech situation, this study establishes a risk assessment benchmark and then investigates real-world deviations from this benchmark. Specifically, this study models limits to information transfer, incomplete discussions and potentially detrimental group characteristics, as well as interaction patterns.

First, limits to information transfer among workshop participants can prevent a correct consensus. Second, increasing the required number of stable discussion rounds before an assessment improves the correct assessment of high but not low likelihood risks. Third, while theoretically advantageous group characteristics are associated with the highest assessment correctness for all risks, theoretically detrimental group characteristics are associated with the highest assessment correctness for high likelihood risks. Fourth, prioritizing participants who are particularly concerned about the risk leads to the highest level of correctness.

This study shows that by increasing the duration of simulated risk workshops, the assessments change – as a rule – from underestimating to overestimating risks, unraveling a trade-off for risk workshop facilitators. Methodologically, this approach overcomes limitations of prior research, specifically the lack of an assessment and process benchmark, the inability to disentangle multiple effects and the difficulty of capturing individual cognitive processes.

The purpose of this study is to investigate the contributing factors to E-government disruptions in Malaysia public service. Researchers have highlighted that the main factors that contribute to IT service failure are the people, process and technology. However, relatively few empirical studies examine to what extent these factors contribute to E-government service disruptions. This study explores the level of contribution of each factor to the E-government service disruptions.

The research was conducted based on the hypothetical-deductive approach. Based on the synthesized literature review, a conceptual model is proposed and several hypotheses are developed. The study was undertaken using questionnaires via convenience sampling whereby eight frontline agencies, six departments and four ministries in Malaysian public service were selected. The selected agencies are frontline agencies (agencies that deal directly with citizens) and have implemented E-government. The respondents consist of IT department employees of those agencies. The data for this research were analyzed using the descriptive and inferential statistics analysis.

Statistically, both human error and process failure are significantly correlated with E-government service disruptions in the Malaysian public sector. More importantly for this research, the empirical results reveal that human action, decision, management, error and failure are the major causes to the E-government disruptions, followed by an improper process or procedures. In addition, it is found that technology failure is not significantly contributing to the E-government disruption frequency in the Malaysian public sector. Human error is an important factor and needs to be given more attention by the management, as human is the creator, who uses, manages and maintains the technology and process to enable the delivery of services as specified in the objectives, vision and mission of the organization. However, the approach used to address E-government disruptions is more toward technology-oriented and revolves around the recovery process.

The study only focuses on three main factors, which are people, process and technology, and the target sample focuses only front-end service agencies. Further study can be extended by incorporating the other factor such as organizational environment, and the sample size could be expanded by including all agencies in public services. As human failure is a major cause of E-government disruptions, the proposed future research should also study the causes of human failure and how to address the problem by developing a resilient organization.

The results of this study have two implications: first is the discovery of the disruption factors that affect E-government service availability, and second is that the results of this study prioritized the factors that contribute to E-government service disruptions. This information would be beneficial to local, state and national governments for further action to ensure the availability and sustainability of E-government implementation.

This study identifies the factors that contribute to the service disruption of E-government and, thus, gives the priority of each factor based on its contribution to the E-government service disruption. This is an important finding because it enables public sector agencies to plan and implement improvements as needed and at the appropriate rate for each IT service component to ensure the E-government availability guarantee.

The paper explores the role of narcissism on entrepreneurs' decisions in terms of organizational choices, discussing gender differences. The aim relies in the influence that entrepreneurs' personality, capabilities and cognitive orientation have in the creation and management of start-ups.

Analyzing an Italian sample of 207 entrepreneurs and using Analysis of variance (ANOVA) and generalized linear model methods, the hypotheses were tested to understand whether and how narcissism affects Research and development (R&D) expenditure, patent ownership and the presence of a specialized team in organizations led by women and men entrepreneurs.

Differences in the management and organizational choices of narcissistic women entrepreneurs compared to their men counterparts emerged. First, results show that women entrepreneurs are less narcissistic than men. Second, gender is shown to moderate the effect of narcissism on the choice of having a qualified team in a start-up. Third, narcissistic women entrepreneurs were found to engage less in risk-taking activities, such as R&D expenditure, and to patent their ideas more than their male counterparts.

The study expands the existing literature by applying a gendered lens to entrepreneurs' narcissism to investigate whether they behave and manage their start-ups differently.

The purpose of this paper is to analyze lean strategic practices being implemented in manufacturing facilities throughout Pennsylvania and West Virginia and identify the difficulty in implementing those lean practices.

A skip logic questionnaire was developed into multiple sections for analysis; demographics of respondents, identification of the knowledge and practice of lean methods, interpretation of lean application, strategic direction of lean methods, measurements of expertise, and difficulties for practicing lean. The questionnaire was sent to 327 manufacturing facilities where 51 usable responses were collected for the study.

Lean manufacturing is a widely recognized and practiced business philosophy as a significant percentage of manufacturers have implemented some variation of practice. However, the extent of knowledge does not mirror awareness. The application of lean manufacturing practices is not readily appropriate for every company, but adopting the concept of customer-focussed waste reduction to maximize value can be universally applied as waste reduction was the most prominent practice pursued. Lean practitioners found that poka-yoke and installing new process equipment have the highest degree of benefits from implementation while 5S and eliminating waste were the least difficult practices to implement. In general, the management personnel of the companies have an influential effect on lean manufacturing pursuance. This is illustrated by the fact of high agreement between facilities that resistance to change from employees is the most prominent difficulty for implementation followed by limited technical knowledge of lean manufacturing at operational and conceptual levels.

The research findings are from a subset of manufacturing companies in Pennsylvania and West Virginia and may not represent all of the companies on a national level. The results must be interpreted in the context of the data acquisition approach due to the extent of the sample size involved, the procedure for how data were collected, and assuming that each lean strategic practice has the same weight to calculate the facility lean index.

The results provide insight about the effect of facility size and years of lean practicing for various lean strategic practices. The most beneficial and least difficult lean strategies, their implementation level, and the real challenges for implementing lean were also identified to help both lean practitioner and non-practitioner for the lean journey.

The research investigates current lean strategic practices pursued by manufacturers throughout Pennsylvania and West Virginia and identifies obstacles to implementation of lean practices. Lean manufacturing is widely sought after as a continuous improvement program, but success is divided. This study characterizes lean manufacturing comprehension while identifying knowledge areas of strengths and deficiencies. There lacks an established structure for lean practices to pursue. Therefore, this study provides manufacturers a measure for comparing their position for refined decision making.

Professions involved with the construction industry need to become more aware of disaster risk management (DRM) activities if lessons are to be learned from the past and a resilient built environment attained in the future. This study aims to focus on identifying which construction‐associated stakeholders should be involved with DRM initiatives in the UK, and when these stakeholders should be involved. This research is thereby unique and a key step in the longer‐term aim of identifying how stakeholders should be involved and what issues they need to address regarding the integration of DRM into construction decision making.

This paper presents the findings of a UK‐wide questionnaire survey, semi‐structured interviews and a validation exercise involving a range of professionals from construction, planning, insurance, emergency management and local/national government agencies.

This research identifies the key construction stakeholders that should be responsible for ensuring that resilience issues become integrated and ensuring the key stages of the design‐construction‐operation process where their inputs are required.

The finding presented are an important and logical step in the longer term aim of identifying how stakeholders should be better involved and what issues they need to address regarding the integration of DRM into construction decision making.