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This paper aims to design a compact scheme of behavioural biometric-based user authentication, develop an adaptive mechanism that selects an appropriate classifier in an adaptive way and conduct a study to explore the effect of this mechanism.

As a study, the proposed adaptive mechanism was implemented using a cost-based metric, which enables mobile phones to adopt a less costly classifier in an adaptive way to build the user normal-behaviour model and detect behavioural anomalies.

The user study with 50 participants indicates that our proposed mechanism can positively affect the authentication performance by maintaining the authentication accuracy at a relatively high and stable level.

The authentication accuracy can be further improved by incorporating other appropriate classifiers (e.g. neural networks) and considering other touch-gesture-related features (e.g. the speed of a touch).

This work explores the effect of adaptive mechanism on behavioural biometric-based user authentication. The results should be of interest for software developers and security specialists in deciding whether to implement such a mechanism for enhancing authentication performance on mobile phones.

The user study with 50 participants indicates that this mechanism can positively affect the authentication performance by maintaining the authentication accuracy at a relatively high and stable level. To the best of our knowledge, our work is an early work discussing the implementation of an adaptive mechanism on a mobile phone.

A theoretical and experimental study is performed to investigate unsteady, two‐dimensional, incompressible fluid flow over both sides of a slot‐perforated flat surface, which is placed in a two‐dimensional channel. The governing boundary‐layer equations are discretized by means of a finite‐difference technique to determine streamwise and transverse velocity components. The roles of both the Reynolds number and the ratio of the slot width, d, to the plate thickness, δ, on the velocity field are disclosed. It is found from the study that: (i) the flow pattern between two plates can be classified into four categories depending on a combination of Re and d/δ, (ii) at a small value of Re and/or d/δ, flow over the slot exhibits no timewise variation, (iii) when Re and d/δ exceed certain values, an alternate crossing of flow from one side of the plate to the other occurs across the slot, and (iv) a further increase in Re results in a complex flow both inside the slot and on the plate downstream of the slot. These results are confirmed by the flow visualization using ion‐exchange resins.

This study examines the relationship between board composition and firm value, and the extent to which this relationship may be affected by a company’s investment opportunity set. There is little research that examines this issue, particularly for the New Zealand market. Of the research that exists, and generally for the research that examines how board composition affects firm performance, the findings have been mixed. Using a randomly chosen sample, which improves the external validity of results from prior studies, we find that board composition of high growth option firms is positively related to firm value, and this relationship is maintained when more refined measures that proxy the characteristics of outside directors (such as tenure of outside directors, the level of outside director equity ownership, the number of other board positions held by outside directors, and the total proportion of non‐executive directors, including grey directors) are recognised.

This research examines the effect of auditors’ personal debt on their audit decision making. We developed two different background scenarios that vary the level of the auditor’s personal debt. While one scenario indicated that the partner lived a modest lifestyle and was relatively free of debt, the other indicated that the partner lived an expensive lifestyle and had considerable personal debt. Our data indicate that auditors receiving the higher personal indebtedness scenario were more likely to believe that the auditor in the case study would sign-off on the audit without doing any additional work. We also found that the propensity to believe that the auditor in the case study would sign-off on the audit without doing any additional work decreased as the participants’ rank within the firm increased. Our research documents that a partner’s level of indebtedness could influence the participant’s audit decisions.

The purpose of this paper is to evaluate the effectiveness of a brief, Cognitive Behaviour Therapy-based group intervention in anger management with male offenders. All participants were the subject of a stipulation to attend the programme under a probation order, and were at the time of the study being managed in the community.

Totally, 105 offenders attended the anger management programme, which was delivered by the Probation Board for Northern Ireland (PBNI), between 2008 and 2010 across a range of centres, representing most regions of the province. Prior to treatment, the offenders completed two measures: The State Trait Anger Expression Inventory (STAXI), and the Stages of Change Scales (SCS). Both these measures were also completed at the end of the programme of treatment.

It was found that the programme significantly reduced the expression of anger as well as state and trait anger among offenders referred to the programme as measured by the STAXI. Both the action and maintenance subscales of the SCS were significant predictors of improvement in anger expression. The action subscale was shown to be a valuable predictor of readiness for change amongst the offenders.

Assessing an offender’s readiness to change may enhance selection for specific rehabilitation programs thus reducing drop-out rates leading to a more efficient use of resources. This study demonstrates that those participants who were found to be more ready for change, benefited most from the intervention programme.

Work-related low back disorders (LBDs) are prevalent among rebar workers although their causes remain uncertain. The purpose of this study is to examine the self-reported discomfort and spinal biomechanics (muscle activity and spinal kinematics) experienced by rebar workers.

In all, 20 healthy male participants performed simulated repetitive rebar lifting tasks with three different lifting weights, using either a stoop (n = 10) or a squat (n = 10) lifting posture, until subjective fatigue was reached. During these tasks, trunk muscle activity and spinal kinematics were recorded using surface electromyography and motion sensors, respectively.

A mixed-model, repeated measures analysis of variance revealed that an increase in lifting weight significantly increased lower back muscle activity at L3 level but decreased fatigue and time to fatigue (endurance time) (p < 0.05). Lifting postures had no significant effect on spinal biomechanics (p < 0.05). Test results revealed that lifting different weights causes disproportional loading upon muscles, which shortens the time to reach working endurance and increases the risk of developing LBDs among rebar workers.

Future research is required to: broaden the research scope to include other trades; investigate the effects of using assistive lifting devices to reduce manual handling risks posed; and develop automated human condition-based solutions to monitor trunk muscle activity and spinal kinematics.

This study fulfils an identified need to study laboratory-based simulated task conducted to investigate the risk of developing LBDs among rebar workers primarily caused by repetitive rebar lifting.

The study here responds to the view that the crucial problem in strategic management (research) is firm heterogeneity – why firms adopt different strategies and structures, why heterogeneity persists, and why competitors perform differently. The present study applies complexity theory tenets and a “neo-configurational perspective” of Misangyi et al. (2016) in proposing complex antecedent conditions affecting complex outcome conditions. Rather than examining variable directional relationships using null hypotheses statistical tests, the study examines case-based conditions using somewhat precise outcome tests (SPOT). The complex outcome conditions include firms with high financial performances in declining markets and firms with low financial performances in growing markets – the study focuses on seemingly paradoxical outcomes. The study here examines firm strategies and outcomes for separate samples of cross-sectional data of manufacturing firms with headquarters in one of two nations: Finland (n = 820) and Hungary (n = 300). The study includes examining the predictive validities of the models. The study contributes conceptual advances of complex firm orientation configurations and complex firm performance capabilities configurations as mediating conditions between firmographics, firm resources, and the two final complex outcome conditions (high performance in declining markets and low performance in growing markets). The study contributes by showing how fuzzy-logic computing with words (Zadeh, 1966) advances strategic management research toward achieving requisite variety to overcome the theory-analytic mismatch pervasive currently in the discipline (Fiss, 2007, 2011) – thus, this study is a useful step toward solving the crucial problem of how to explain firm heterogeneity.

Research concerning marketing standardisation is still developing. A new research theme has recently emerged, wherein it is suggested that the structure of marketing decision making is likely to be a factor of marketing standardisation strategy. This study aims to add insights to this new research field. Based on the outcome of previous studies, it aims to propose and test a research framework concerning the relationships among environmental factors, the structure of decision making and marketing standardisation/performance. This study seeks to focus on the two most important programme elements: promotion and product.

The study used the experience of 78 firms operating in the European Union (EU) region to achieve its research objectives. The data used were collected through a postal survey. This analysis used both partial least square (PLS) and hierarchical regression analysis methods to examine its research framework.

The study has generated a framework for future research. It is suggested that, with the absence of direct influence, the structure of decision making is still likely to have an indirect effect on marketing standardisation strategy. Although a path relationship is unlikely to exist between environmental factors, the structure of decision making and performance, the joint effect between environmental factors and the decision‐making structure on performance is confirmed. The outcomes of the study suggest that, through careful selection, firms adopting a high and low degree centralisation structure can benefit from operating in a similar high/low environment, as well as in a country with high/low market size and potential.

The study's findings have enhanced those uncovered by other researchers. A number of implications can be drawn for these findings.

This chapter aims to identify integrated marketing communication (IMC) in the context of business to business to consumer (B2B2C) and empirically test a number of hypotheses related to the selected constructs. A model of the IMC was tested in a survey conducted among stakeholders in the selected field. Professionals responsible for communication and branding activities need to evaluate the relative contributions of the IMC in the B2B2C perspective.

It remains unclear how environmental scanning (ES) can generate firm performance through supply chain management (SCM) practices. The purpose of this paper is to investigate the effects of ES on operational performance through supply chain integration (SCI) and supply chain responsiveness (SCR).

The scanning–interpretation–action–performance (SIAP) model and organization information processing theory (OIPT) are used to explain the ES–SCI–SCR–performance (S–I–A–P) relationships, which were tested by structural equation modeling of survey data of 329 manufacturing firms in China.

The results indicate that ES has a significant positive effect on SCI and SCR. SCI is significantly and positively related to SCR. SCR partially mediates the relationship between ES and operational performance, and fully mediates the relationship between SCI and operational performance.

Supply chain managers should collaborate with senior executives to obtain signals from ES activities, as input for building SCI and SCR and use SCI as a joint interpretation mechanism of ES signals for developing SCR to reap operational advantages in the rapidly changing business environment.

Strategic management academics and practitioners have explicitly emphasized the importance of ES in developing strategic plans but are unsure about the role of SCM in creating operational advantages through ES. Using the SIAP model, this study theorizes and demonstrates how SCI and SCR transform signals from ES into operational performance. In doing so, a more precise application of OIPT is explicated in the supply chain context.