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Tensile pull strength tests were used to study the strength of solder joints of 25 mil gull wing leads on 132 pin quad flat pack components. The authors generated quadratic and linear models which can be used to predict the pull strength of a solder joint given its geometry. The shape parameters studied were stand‐off height between the lead and substrate, height of heel fillet, radius of curvature of heel fillet, length of heel fillet, height of solder at toe region, and thickness of solder on the lead. The most significant parameters in determining the tensile pull strength of the solder joint are the height and length of the heel fillet. A study was performed to quantify the effect of lead finish on the accuracy of these models. The lead finish was found to have a significant effect on the solder joint strength. The effect of lateral misregistration on the tensile pull strength of solder joints was also investigated. No correlation between the extent of lateral misregistration and joint pull strength has been found.

To examine a simple testing method of measuring the force to pull a fabric through a series of parallel pins to determine the fabric softness property.

A testing system was setup for fabric pulling force measurements and the testing parameters were experimentally determined. The specific pulling forces were compared with the fabric assurance by simple testing (FAST) parameters and subjective softness ranking. Their correlations were also statistically analyzed.

The fabric pulling force reflects the physical and surface properties of the fabrics measured by the FAST instrument and its ability to rank fabric softness appears to be close to the human hand response on fabric softness. The pulling force method can also distinguish the difference of fabrics knitted with different wool fiber contents.

Only 21 woven and three knitted fabrics were used for this investigation. More fabrics with different structures and finishes may be evaluated before the testing method can be put in practice.

The testing method could be used for objective assessment of fabric softness.

The testing method reported in this paper is a new concept in fabric softness measurement. It can provide objective specifications for fabric softness, thus should be valuable to fabric community.

This paper aims to analyze the effect of Au wire size and location of hook during wire pulling test to identify the variation of results obtained.

Two hook locations, namely, location A and location B were used to analyze the effect of hook location. Location A was the same as the hook location required by MIL-STD-883E standard, whereas location B was located near to the second bond. The correlation between new purposed failure modes and MIL-STD-883E standard was developed to reflect on the pull strength with the physical failure.

It was observed that fine pitch Au wire has higher variation and lower process capability of pull strength. Au wire pulled by the hook at location B provides a more representative result compared to that at location A. Fifty per cent or more of Au remnant is required to be considered as a good and reliable Au wedge bond based on the new purposed failure modes.

The evaluation of gold (Au) wedge bond requires a new proper wire pulling test method. This is due to the large variation obtained from the application of current practice of wire pulling test.

The main aims of this study were to develop analytical scales for yachting tourism push-pull motivations and constraints, and analyze how these factors may influence the revisit intention of yachting tourists in China.

The analysis was conducted using the PLS-SEM, including the evaluation of measurement models and the structural models. SPSS18.0 and SmartPLS 3.3.5 software were used for statistical analysis.

We conducted a survey of 451 respondents who participate in yachting activities in Dalian, China and identified six push motivational factors (novelty and stimulation, sightseeing and leisure, sports and learning, social relationships, self-esteem and prestige and self-realization), three pull motivational factors (featured activities and services, destination environment, destination facilities) and two constraints (internal and external). Partial least squares structural equation modelling showed that all hypothesized interactions between identified factors were statistically significant and meaningful.

The push-pull-constraint model offers a new interpretation to the traditional push-pull model in theory, and the results contribute to local yacht industry sectors.

Mobility processes, the routines that organizations use to move employees into and across jobs, are a critical determinant of the way that human capital is allocated within organizations and careers developed. Most existing work on these mobility processes has examined processes in which mobility is tightly coupled to the filling of vacancies. There is substantial evidence, though, that many organizations adopt very different processes for managing mobility. In this theory chapter, I compare vacancy-based, “job-pull” systems with alternative, “person-push” systems in which mobility is keyed to employees' attainment of performance and skill thresholds to explain how and why mobility processes vary. I identify two, inter-related dimensions along which mobility processes vary: whether their decision processes emphasize the need to match employees to tasks versus providing predictable rewards; and whether the system of jobs that people move between prioritizes flexibility or control of agency costs. I use these dimensions to predict when organizations will adopt different mobility processes, and how those processes will affect employees' mobility.

Tourism motivation is a prerequisite in understanding tourist behavior. Push and pull factors have provided a simple framework for comprehending tourism motivation in various contexts. Nevertheless, many of the propositions related to the push–pull framework have rarely been empirically examined. One of these suggests that pull factors both respond to and reinforce push factors. The current study, consequently, examines this twofold proposition empirically through partial least-squares path modeling. The findings indicate that push factors influence the tourism-demand variable (length of vacation) via pull factors and vice versa. Further, the findings indicate that the total effects of push and pull factors on the tourism-demand variable of the study are nearly equal. Theoretical and practical implications are also provided.

This study updates the discussion on demand-pull attention as a source of radical product innovation. Demand-pull attention shows an ex ante alignment with market characteristics and needs as opposed to pushing resources toward markets. The authors suggest a holistic framework and specify three dimensions of demand-pull attention: anticipated or revealed market demand, market environment, and external economic environment. Based on a large German longitudinal panel consisting of 941 firm-year observations from 2003 to 2013, the authors conceptualized the measurement of demand-pull dimensions’ attention and radical product innovation using computer-aided text analysis of annual reports. The authors analyzed the relationship between the attention that a firm pays to different demand-pull dimensions and the firm’s strategic intention to radically innovate; thus, the authors actually focused on the cognitive sources of radical product innovations. This chapter suggests that radical product innovation activities are positively driven by attention toward the market environment and market demand orientation. However, the hypothesis, which assumed a negative relationship between attention toward the external economic environment and radical innovation, could not be significantly confirmed. This demands a closer look into the underlying decision processes of firms when deciding on radical product innovations. With the theoretical grounding on the attention-based view of the firm, the authors contribute to a better understanding of the role that organizational cognition plays in innovation processes.

This paper aims to present an interview with Deloitte researcher John Hagel III, the co‐author of The Power of Pull and co‐chairman of the Deloitte Center for the Edge, which conducts research and develops concepts for new corporate growth.

The paper presents the views of Hagel on how to help managers understand how the concept of “pull” – the management model that draws out people and resources as needed to address opportunities and challenges – can be systematically used to shape serendipity and drive more rapid performance improvement.

Hagel and his research colleagues found that the global center of innovation is shifting from the West to China and India; that the innovation that will matter most in the next wave of competition is neither product nor process innovation, but institutional innovation. This perspective extends the concept of management innovation beyond organizational boundaries to innovation networks.

Hagel foresees that the early phase of transformation will be largely a bottom‐up phenomenon and that the full promise of the “pull” concept will be its potential to generate “increasing returns” in performance, and ultimately reshape markets and industries.

The interview identifies the persistent failure of today's organizational forms to generate high‐commitment, high engagement cultures as the primary institutional innovation challenge and opportunity. The interviewee, Hagel, warns practitioners to prepare because the transition from a world of “push” management models to one where the “pull” model has an advantage is inevitable.

The purpose of this paper is to reassess whether individuals choose to become self‐employed for “pull” or “push” reasons, to discuss and describe ambiguities in this distinction, with focus on differences between men and women, and draw conclusions for further conceptual work.

The paper reviews current literature, from which specific hypotheses are developed. For illustration and evaluation secondary analysis is undertaken of an existing large‐scale data source available in UK Quarterly Labour Force Surveys over the period 1999‐2001.

It was found that 86 per cent state only a single reason for self‐employment. Response patterns differ significantly between men and women. Independence is the most commonly cited motivation but 22 per cent of women cite family commitments. “Push” motivations may account for as much as 48 per cent depending on interpretation. Men who report two or more factors tend to combine “pull” factors, but women tend to combine “push” with “pull”.

Respondents may display recall bias. Potential ambiguity in the way in which respondents may interpret particular motivations points to the need for future detailed qualitative research, and questionnaire item development. Further work is recommended to assess whether conclusions hold in recent recessionary economic conditions.

Clarity between “push” and “pull” factors is important in the design of entrepreneurship policy, especially during a recession. Further work is needed to provide this clarity to inform policy design.

Few previous studies investigate reasons for choosing entrepreneurship using large, population‐generalisable data, and do not consider the conceptual ambiguities inherent in categorising motivations as either “pull” or “push”.

In order to help explain experimental findings related to the stabbing- and ballistic-penetration resistance of flexible body-armor, single-yarn pull-out tests, involving specially prepared fabric-type test coupons, are often carried out. The purpose of this paper is to develop a finite-element-based computational framework for the simulation of the single-yarn pull-out test, and applied to the case of Kevlar® KM2 fabric.

Three conditions of the fabric are considered: neat, i.e, as-woven; polyethylene glycol (PEG)-infiltrated; and shear-thickening fluid (STF)-infiltrated. Due to differences in the three conditions of the fabric, the computational framework had to utilize three different finite-element formulations: standard Lagrangian formulation for the neat fabric; combined Eulerian-Lagrangian formulation for the PEG-infiltrated fabric (an Eulerian subdomain had to be used to treat the PEG solvent/dispersant); and combined continuum Lagrangian/discrete-particle formulation for the STF-infiltrated fabric (to account for the interactions of the particles suspended in PEG, which give rise to the STF character of the suspension, with the yarns, the particles had to be treated explicitly).

The results obtained for the single-yarn pull-out virtual tests are compared with the authors’ experimental counterparts, and a reasonably good agreement is obtained, for all three conditions of the fabric.

To the authors’ knowledge, the present work represents the first attempt to simulate single-yarn pull-out tests of Kevlar® KM2 fabric.