Developing an empirical algorithm for protecting text-based CAPTCHAs against segmentation attacks

In this paper, we aim to provide an effective and efficient method to generate text-based Captchas which are resilient against segmentation attack. Different to the popular industry practice of using very simple color schemes, we advocate to use multiple colors in our Captchas. We adopt the idea of brush and canvas when coloring our Captchas. Furthermore, we choose to use simple accumulating functions to achieve diffusion on painted colors and DES encryption to achieve a good level of confusion on the brush pattern. To facilitate ordinary users and developers, we propose an empirical algorithm with support of Taguchi method to guarantee the quality of the chosen color schemes. Our proposed methodology has at least three advantages — 1) the settings of color schemes can be fully customized by the user or developer; 2) the quality of selected colors have desirable statistical features that are ensured by Taguchi method; 3) the algorithm can be fully automated into computer programs. Moreover, our included examples and experiments prove the practicality and validity of our algorithm.

An empirical study of the influence of different organisation cultures on e-commerce adoption maturity

Drawing on Cameron and Quinn’s organisational cultures typology that defines four types of organisational culture (i.e., clan, adhocracy, market, and hierarchy), and Daniel et al.’s four-stage model of e-commerce adoption, this paper empirically examines the influence of different organisational cultures on e-commerce adoption maturity in small and medium-sized enterprises (SMEs) in Sri Lanka. The result indicates a positive correlation between adhocracy culture and e-commerce adoption. However, those firms with hierarchy cultural characteristics indicate a negative correlation in relation to e-commerce adoption. The organisational culture differences explain these issues.

The mediating effect of internal service quality on employee turnover – empirical evidence from Taiwanese nurses

Informed by social exchange theory (SET) this study examines the role of trust in strategic alliances. Interviews were conducted with 17 participants who were strategic alliance managers in their organization. The study finds that trust is important to strategic alliance managers, and without it alliance managers would find it difficult to keep their alliance going. Trust is built over time, and based on the past experiences that the alliance manager has with their partner. The study found that prior networks, timely and appropriate communication and information exchange, fairness preservation and inter-firm adaptation were important in developing trust in the strategic alliance.

Influence of high performance work systems on employee subjective well-being and job burnout: empirical evidence from the Chinese healthcare sector

Over the last two decades, high performance work systems (HPWSs) research has been dominated by examining the effects of these systems on firm performance. Research on the impact of HPWSs on employees has been marginalised. This study examines the impact of HPWSs on two psychological outcomes for employees, namely, subjective well-being (SWB) and workplace burnout, by utilising data collected from 1488 physicians and nurses in 25 Chinese hospitals. It also examines the moderating effects of employees' organisational based self-esteem (OBSE), as an individual intervention and physician–nurse relationships, as an organisational intervention, on the relationship between HPWSs and employee outcomes. HPWS is found to increase employees' SWB and decrease burnout. Such well-being-enhancing and burnout-relieving effects are stronger when employees have high OBSE. The positive effect of HPWS on SWB is also stronger when there is a collaborative relationship among employees in an organisation. The major contribution of this study is to unpack the ‘black box’ of how HPWS influences employee well-being in the Chinese healthcare sector context.

The role of brand orientation in church participation: an empirical examination

Although a large amount of research has been undertaken into the application of marketing techniques in church organizations, few studies have provided empirical evidence on the effects of brand orientation on church participation. This empirical study sought to contribute to the body of literature via a survey of 344 church attendees of a particular church denomination in Australia. The conceptual model hypothesizes brand orientation as performing direct and indirect effects on church participation through perceived benefits as the mediating variables. A person's perception of the extent to which a church engages in brand-oriented activities and behavior is significantly related with his or her perception of the benefits associated with church activities, which then leads to a higher level of church participation. The results reveal that brand orientation is significantly related with perceived benefits and church participation.

Topic model kernel : an empirical study towards probabilistically reduced features for classification

Probabilistic topic models have become a standard in modern machine learning with wide applications in organizing and summarizing ‘documents’ in high-dimensional data such as images, videos, texts, gene expression data, and so on. Representing data by dimensional reduction of mixture proportion extracted from topic models is not only richer in semantics than bag-of-word interpretation, but also more informative for classification tasks. This paper describes the Topic Model Kernel (TMK), a high dimensional mapping for Support Vector Machine classification of data generated from probabilistic topic models. The applicability of our proposed kernel is demonstrated in several classification tasks from real world datasets. We outperform existing kernels on the distributional features and give the comparative results on non-probabilistic data types.