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Lung cancer is the leading cause of death worldwide. Physical and chemical agents such as tobacco smoke are the leading cause of various lung cancers. The intrinsic heterogeneity of normal lung tissue may be affected in different ways, giving rise to different types of lung cancers classified as either small‐cell lung cancer (SCLC) or non‐small cell lung cancer (NSCLC). Adenocarcinoma, a NSCLC, accounts for 40 percent of all lung cancer cases and the incidence is increasing worldwide, especially among women. The survival rate and prognosis is poorest for adenocarcinoma. Therefore, diagnosis at the earliest stage (Stage I, localized) is critical for increasing survival rates of those suffering from lung cancer. However, many factors affect early diagnosis including the variable natural growth of tumors plus technological and human factors associated with manipulation of tissue samples and interpretation of results. This article reviews potential problems associated with diagnosing lung cancer and considers future directions of diagnostic technology.

The purpose of this study was to realize finite element simulation in order to dynamically determine the area of the contact, the contact pressure and the strain energy density (identified as a damage function) for three different activities – normal walking, ascending stairs and descending stairs – that could be considered to define the level of the activity of the patient.

The finite element model uses a modern contact mechanism that includes friction between the metallic femoral condyles or femoral head (considered rigid) and the tibial polyethylene insert or acetabular cup (considering a non-linear behaviour).

For all three activities, the finite element analyses were performed, and a damage score was computed. Finally, a cumulative damage score (that accounts for all three activities) was determined, and the areas where the fatigue wear is likely to occur were identified.

A closer look at the distribution of the damage score reveals that the maximum damage is likely to occur not at the contact surface, but in the subsurface.

Customers' participation in co-creation is a prerequisite for co-creation success. To identify customer co-creators, research has shown a recent interest in the role of personality traits as predictors of customers' engagement in co-creation. However, the empirical results regarding the direction and significance of these relationships have been inconclusive. This study builds on the five-factor theory (FFT) of personality to enhance one's understanding of the nomological network that determines the relationship between personality traits and customers' willingness to co-create (WCC).

Based on a large-scale empirical study on technology-based services (TBSs) in healthcare (n = 563), the authors empirically investigate the role of the five-factor model (FFM), innate innovativeness (INI) and enduring involvement (EI) in predicting customers' WCC using partial least squares structural equation modeling (PLS-SEM).

The authors’ empirical findings show that depending on the configurational setting of the personality traits tied to the FFM, INI and EI evolve as mediators in determining customers' WCC.

This study is the first to introduce the FFT of personality into co-creation research. The results of this paper shed light on the relationships between personality traits, characteristic adaptations and customers' WCC.

Research examining the relation of personality to conflict resolution strategy has yet to incorporate the dominant, contemporary view of personality, the five‐factor model (FFM). The use of broad traits (domains), to represent personality, although parsimonious, ignores information contained in narrow personality facets, masks important conceptual relations with various strategies, and has produced inconsistent results. The present study demonstrates that narrow, rather than broad, FFM traits consistently explain greater variance in strategy, and account for significant variance when FFM domain scores appear unrelated to the criterion. These effects are shown to result from the unbinding of criterion‐related from criterion‐unrelated facet scores that are otherwise aggregated into broad domains.

The study investigated the relationship of career instrumental and expressive intra‐organizational network resources with extrinsic and intrinsic career success and with the Big‐Five of personality in a sample of 264 white‐collar workers. Total network resources were associated with extrinsic and intrinsic career success above the contribution of human capital, demographics and mentoring received. And instrumental network resources contributed more strongly than expressive network resources to extrinsic career success. Furthermore, instrumental network resources emerged as important for intrinsic evaluations of hierarchical and interpersonal career success while expressive network resources emerged as important for intrinsic evaluations of job and interpersonal career success. There was limited support for the influence of personality on the accumulation of network resources. As hypothesized, conscientiousness was negatively associated with instrumental network resources; however, extra‐version, openness and agreeableness failed to make significant contributions to network resources over and above the contribution of human capital and demographics. The implications of the findings for individual career tactics and for organizational practices are discussed and the limitations of the study are considered along with directions for future research.

Financial planning is important in promoting the social well‐being of a nation. Without proper financial planning, individuals may be ill‐prepared in coping with the escalating cost of living, medical costs as well as enjoying their desired quality of life. However, financial decision making is not always made in a rational manner. This study aims to investigate the influence of personality traits, genders and course majors on decision making dimensions of risk aversion, cognitive biases and socially responsible investing (SRI) criteria among Generation Y undergraduates.

The study utilizes a sample of undergraduates from a business school in Klang Valley, Malaysia. The study adapts the Big 5 personality scales from McCrae and Costa. The scales for the financial decision making dimensions, namely risk aversion, cognitive biases and SRI constructs, were developed for this study based on concepts developed from the extant literature. The validity and reliability of the scales were tested using exploratory factor analysis and Cronbach's alpha respectively. Hypotheses were tested using multiple linear regressions, t‐tests and ANOVA methods.

Conscientiousness, openness and agreeableness were found to have a significant influence on risk aversion, cognitive biases and SRI respectively. Gender and course majors taken were not significant in financial decision making.

Future research should extend this to different cohorts of individuals including working adults and retirees. The mediating influences of personality and moderating influences of demographic factors such as education level, age and religiousity should also be explored to better target potential investors and fulfill their financial goals.

Awareness of the influence of specific personality traits in financial decision making would help financial planners tailor products more effectively to cater for the understanding and lifestyle of the younger generation. There may also be a need in the future for business schools to introduce courses on behavioural finance in their curriculum.

Studies on financial planning have more often focused on rational aspects of financial decision making rather than on personality dimensions. This study bridges the gap by investigating the influence of the Big 5 personality traits in financial decision making. The study also posits that the influence of personality traits is more significant than demographic factors in financial decision making.

The present study examines the relation of individual differences in personality to one's preferences for approaching and managing conflict in work settings. This investigation offers a conceptual foundation for relating the Five‐Factor Model (FFM) of personality to strategy preference, tests strategy‐FFM dimension hypotheses, and explores strategy relations with narrower FFM midlevel traits. Managers and supervisors (N = 249) from public, governmental, and private sector organizations completed the Organizational Communication and Conflict Instrument and the Revised NEO Personality Inventory. Preferences for conflict strategies were found to relate to distinct patterns of FFM dimensions, while narrower midlevel traits provided meaningful insights into the nature of the observed relations.

This article provides a review and conceptual comparison between self‐report and performance‐based measures of emotional intelligence. Analyses of reliability, psychometric properties, and various forms of validity lead to the conclusion that self‐report techniques measure a dispositional construct, that may have some predictive validity, but which is highly correlated with personality and independent of intelligence. Although seemingly more valid, performance‐based measures have certain limitations, especially when scored with reference to consensual norms, which leads to problems of skew and restriction of range. Scaling procedures may partially ameliorate these scoring weaknesses. Alternative approaches to scoring, such as expert judgement, also suffer problems since the nature of the requisite expertise is unclear. Use of experimental paradigms for studying individual differences in information‐processing may, however, inform expertise. Other difficulties for performance‐based measures include limited predictive and operational validity, restricting practical utility in organizational settings. Further research appears necessary before tests of E1 are suitable for making real‐life decisions about individuals.

Based on the model of Big-Five personality traits and theories of person–environment interaction, this study aims to investigate the moderating effects of personality traits on innovativeness through knowledge sharing (KS).

A sample of 318 Vietnamese employees was collected. The hypothesized model was tested by using partial least squares structural equation modelling.

The results indicate that extraversion, agreeableness, conscientiousness and openness to experience have relationships with innovativeness through the mediating effect of KS. Furthermore, transformational leadership (TL) mitigates the positive relationship between agreeableness and openness to experience and innovativeness.

Based on the research results, the authors suggest several practical implications for enhancing employees' innovative organizational behaviours. Transformational leaders should be aware of and control the relationships with employees high in agreeableness and open to experience to ensure that employees' innovativeness can be freely developed.

This research systematically investigates the effect of each personality on employees' innovativeness. Furthermore, this study contributes to the leadership literature by suggesting the dark side of TL that can negatively influence the innovative ability of employees with certain personality traits.

The purpose of this paper is to present a discussion of the ways that personality tests have been used in accounting research.

The paper is structured as a literature review of the personality testing area, with particular emphasis on its application in accounting research.

The idea of personality impacting accounting has received some attention in recent years. However, it is an understudied area and the research to date is somewhat inconclusive. The findings are that over the last decade personality psychologists have made significant advances in personality theory and measurement. This paper summarizes: the theory of personality; the two most common personality typologies (i.e. the Jungian psychology‐based Myers‐Briggs Type Indicator (MBTI) and the Five Factor Model (FFM); and discusses the application of personality in accounting research.

It is somewhat problematical to draw precise boundaries that include all relevant studies, and yet exclude appropriately distant ones, as there are a number of constructs that may, or may not, be considered to be “personality”. Another limitation is that the research studies published so far do not all agree one with another.

The conclusion reached is that, while there is a role for personality/accounting research using both MBTI and FFM, research using the FFM is particularly important for analytical and predictive research in this area and to triangulate previous MBTI studies.

As a literature review, there is little that is intrinsically new here, but the juxtaposition of different approaches and findings will be informative to researchers in the area and, to a lesser extent, practitioners.