Intellectual Capital and Sustainable Economic Performance in the Public Sector: The Context of the New Public Management in Malaysia

The New Public Management allows us to reflect upon whether intellectual capital helps public sector organisations meet their performance benchmarks. Sustainable economic performance gains importance from the public sector’s service ideal. Although there have been empirical endeavours using intellectual capital as operational variables, this study examines the theoretically informed relationship between the intellectual capital construct and its construct dimensions and the sustainable economic performance construct and its construct dimensions. The decision-making inputs of senior officials in the Malaysian public sector are vital for evaluating the relationship, as these officials are the individual strategists of the collective organisational strategy. The study conducted a survey that received 1092 usable responses and analysed them using the structural equation modelling research method. The findings showed a robust theoretical relationship between intellectual capital and sustainable economic performance. Furthermore, the study identified intellectual capital items that play a vital role in supporting public sector sustainable economic performance in Malaysia under New Public Management. The findings provide useful knowledge for public sector officials and policymakers, and for further research.

Consumer engagement in social media: scale comparison analysis

Purpose Engagement is a construct that varies according to the subject, object and context; this has been used to justify the coexistence of a variety of construct definitions and scales. Instead of proposing a new scale, this paper aims to create a procedure for comparing scales and to use it to evaluate brand engagement measures in social media. Design/methodology/approach This study first defines a procedure for the selection, standardization and comparison of scales; this procedure considers both the classical test theory (CTT) and item response theory (IRT). The authors apply the procedure in a survey of 233 respondents to compare three scales for measuring consumer engagement with brands in social media. Findings The establishment of a procedure for scale comparison is useful in assisting researchers to choose specific measures. Results showed that the three scales have similar characteristics, but Vivek et al.’s (2014) scale is recommended when better discrimination between construct dimensions is required, Hollebeek et al.’s (2014) scale could be used as a one-dimensional scale and Dessart et al.’s (2016) reduced scale has better ability to capture information for the affective and cognitive dimensions. None of the scales were very efficient in discriminating weakly and strongly engaged individuals. Originality/value This study makes a substantive contribution by proposing a procedure for scale comparison that considers CTT and IRT and shows the advantages, limitations and recommendations for using three different scales of consumer engagement.

Capital structure construct: a new approach to behavioral finance

Within the framework of behavioral finance, this research shows that financial behavior can be assessed as a cognitive construct. Using certain variables, a multidimensional “cognitive finance” construct can thus be established. Through a technological – psychometric type design with descriptive data analysis, a factor analysis is presented to determine which latent variables tend to charge significantly in order to assess the validity of the dimensions comprising the construct of capital structure and explore its dimensions in relation to financial theory. A 44-item questionnaire is adapted and applied to a sample of chief financial officers from diverse public and nonpublic companies in Mexico. The analysis reveals the existence of four construct dimensions consistent with corporate financial theory. The model helps to explain how decision-makers react to uncertainty and environmental conditions, directly affecting the valuation of firm’s losses or earnings. As evidenced by the results, application of the Item Response Theory to the field of behavioral finance could open up new avenues to the study of cognitive biases, involved in the financial decision-making process. Thus, this implies that behavioral finance can also be treated as “cognitive finance.”

Multiscale modelling and homogenisation of fibre-reinforced hydrogels for tissue engineering

Tissue engineering aims to grow artificial tissues in vitro to replace those in the body that have been damaged through age, trauma or disease. A recent approach to engineer artificial cartilage involves seeding cells within a scaffold consisting of an interconnected 3D-printed lattice of polymer fibres combined with a cast or printed hydrogel, and subjecting the construct (cell-seeded scaffold) to an applied load in a bioreactor. A key question is to understand how the applied load is distributed throughout the construct. To address this, we employ homogenisation theory to derive equations governing the effective macroscale material properties of a periodic, elastic–poroelastic composite. We treat the fibres as a linear elastic material and the hydrogel as a poroelastic material, and exploit the disparate length scales (small inter-fibre spacing compared with construct dimensions) to derive macroscale equations governing the response of the composite to an applied load. This homogenised description reflects the orthotropic nature of the composite. To validate the model, solutions from finite element simulations of the macroscale, homogenised equations are compared to experimental data describing the unconfined compression of the fibre-reinforced hydrogels. The model is used to derive the bulk mechanical properties of a cylindrical construct of the composite material for a range of fibre spacings and to determine the local mechanical environment experienced by cells embedded within the construct.

Multidimensional Assessment of Social Desirability Bias: An Application of Multiscale Item Randomized Response Theory to Measure Academic Misconduct

It is challenging for survey researchers to investigate sensitive topics due to concerns about socially desirable responding (SDR). The susceptibility to social desirability bias may vary not only between individuals (e.g., different perceptions about social norms) but also within individuals (e.g., perceived sensitivity of different items). Thus, controlling for SDR is particularly challenging when analyzing multidimensional constructs that are measured via multiple groups of items with varying degrees of sensitivity. In this research, we address this challenge using a combination of a randomized response (RR) approach for data collection and a multiscale item response theory (IRT) model for data analysis. While the RR approach protects the anonymity of respondents at the item level, the multiscale IRT approach accounts for the multidimensional nature of the construct and explicitly models the item-level differences in the measurement of its dimensions. We empirically demonstrate the benefits of the model using a multidimensional self-report instrument for the assessment of academic misconduct of university students. Based on an experiment with random assignment, our results uncover considerable differences in the perceived sensitivity, both between the construct dimensions and between their measurement items. These findings support the view that individuals engage in SDR to varying degrees depending on the perceived sensitivity of the specific items and groups of items. In contrast, a social desirability scale that treats SDR as a stable personality trait is not found to capture meaningful differences in response style. Finally, we show how structural models can be incorporated into the framework to link the latent construct’s dimensions to individual-level explanatory variables.

The instruments of higher order thinking skills

This research developed the standard of instrument for measuring the High Order Thinking Skill (HOTS) ability of PGSD students. The research method used is development research with eight steps namely theoretical studies, operational definition, designation construct, dimensions and indicators, the preparation of the lattice, the preparation of grain, an analysis of legibility and Social desirability, field trials, and data analysis. In accordance with the type of data to be obtained in this study, the research instrument using validation sheet, implementation observation, and questionnaire. The results show that the instruments are valid and feasible to be used by expert and have been tested on PGSD students with 60% of PGSD students with low categorization.

Strategic entrepreneurship based model of latecomer university

Purpose The purpose of the paper was to help resolve the problem if only the universities possessing strategic entrepreneurship manage to advance significantly in their global ranking positions, while most of their competitors fail. Design/methodology/approach Conceptual part of the study introduces a new strategic entrepreneurial latecomer university framework, based on the combination of the resource-based view, dynamic capabilities, strategic innovation, strategic entrepreneurship and latecomer organization concepts. For verification of the proposed conceptual framework, case study of the Lausanne Federal Polytechnic Institute is considered by structuring the materials of its well-documented success story of its advancing in global rankings in terms of the construct dimensions. Findings The case study findings were identification of entrepreneurial mindset, managing human resources strategically and strategic innovativeness. It confirms conceptual findings that the presence of strategic entrepreneurship construct dimensions in latecomer university is instrumental in sensing business opportunities at most lucrative market segments of scientific research, carrying out its strategic innovation responsible for university difference in strategic transformational development and exploiting the opportunities ahead of its competitors so as to become more competitive and overtake them. Research limitations/implications The main limitations of this study are that only one case of university transition to catch-up development is explored and not all strategic entrepreneurship construct distinctive dimensions are considered. The research will be further elaborated to incorporate all strategic entrepreneurship construct dimensions. Practical implications The approach introduced here has shown that to advance in global rankings, university should carry out its strategic innovation ahead of its competitors. Originality/value The study is supposed to be the first where university at the stage of its transition to catch-up development is considered using new framework based on strategic entrepreneurship construct dimensions.