The Contributory Impact of Structural Components of Computerized Accounting Systems on the Systems’ Overall Performance in Small and Medium Enterprises

In today’s digital era, the application of computers and related technologies in the accounting function amongst business organizations has increased, giving rise to substantial scholarly and practical debates on the subject of computerized accounting systems. Several studies have, therefore, been conducted on computerized accounting systems or accounting information systems in recent times. However, existing studies are focused on the adoption, usage, and benefits of the systems. No extant studies has attempted to explore the structural components or subsystems of computerized accounting systems and how these components contribute to the overall performance of the systems. To fill this gap, the present study has attempted to explore the contributory impact of the structural components (subsystems) of computerized accounting systems to the systems’ overall performance. This study, therefore, decomposed computerized accounting systems into five components and, employing structural equation model (SEM), sought to determine the contributory impact of each of the components to the holistic performance and effectiveness of the systems, with a focus on small and medium enterprises in Nigeria. The quasi-experimental, cross-sectional survey was employed in the study and questionnaires were administered to 370 firms that were selected using the stratified random sampling technique. The results of the study indicates that all five components, individually, made significant contribution to the overall performance of computerized accounting systems (CAS). The study, therefore, concluded that each of the structural components of CAS, namely internal controls, automated data-processing, relational database, automated reporting, and enhancing technologies, individually, contributed significantly to the overall performance of the systems. Hence, all the five components are necessary in the design, modelling, choice, and adoption of computerized accounting systems for SMEs. The study is significant as it contributes empirically to the body of knowledge in the subject. Options for further research are also suggested for the validation and, or, extension of the study’s results. Keywords: Accounting information systems, Automated data-processing, Automated reporting, Computerized accounting systems, Enhancing technologies, Internal controls, Relational database, Small and medium enterprises, Structural characteristics model, Structural components, Subsystems, Systems performance DOI: 10.7176/RJFA/12-18-11 Publication date:September 30th 202

Application of PLS-SEM for small-scale survey: an empirical example of SMEs

Recent developments in Structural Equation Modelling (SEM) have been claimed to add some sophistication onto quantitative research methods' usage in terms of their research versatility, efficiency and practicality in a range of disciplines including Information Systems, Marketing, and People Management research. Although covariance based SEM (CB-SEM) is most prominent, application of partial least square structural equation modelling (PLS-SEM) is an attractive alternative. This paper examines and applies the characteristics of PLS-SEM onto SMEs to see whether the efficiency, practicality and versatility assumptions, as claimed, do actually contribute to SMEs' business entrepreneurship in practice. The research question is therefore 'Do the embedded PLS-SEM assumptions of research versatility, practicality and efficiency actually translate into practical reality in SMEs operating in an emerging economy context?' We used a quantitative method data analysis technique as a precursor to help us identify the types of challenges faced by SMEs at both the micro and macro levels of analysis. Primary survey data from 212 Bangladeshi SMEs located at various geographic districts provide the study's population. We assess the application of the technique as a research methodological tool and its limitations provided the basis for us to develop and validate a partial least square based structural equation model (PLS-SEM) as part of a small scale survey-based research on SMEs. These methodological insights then led to a successful framing of SMEs in a model that contributes to a process of identifying which types of challenges are more critical for SMEs' growth. Our results show that for SMEs to be competitive, the business and research benefits of our modelling and methodological technique should be given foreseeable attention by both academics and business practitioners. This methodological perspective is yet to gain researchers and professional practitioners' attention from SMEs' business perspective. By applying the statistical PLS technique to Business and Management Studies research we are contributing to a deeper understanding and knowledge creation in examining the assumptions, the design and application of a sophisticated research tool for the development of People Management, Business and SME theory and practice with a focus on an emerging economy

Development and validation of an integrated model for evaluating e-service quality, usability and user experience (e-SQUUX) of Web-based applications in the context of a University web portal

Text in EnglishDevelopments in Internet technology and pervasive computing over the past two and half decades have resulted in a variety of Web-based applications (WBAs) that provide products and services to online users or customers. The Internet is used not only to transfer information via the web but is increasingly used to provide electronic services including business transactions, information-delivery and social networking, as well as e-government, e-health and e-learning. For such organisations, e-service quality, usability and user experience are considered to be critical determinants of their products’ or services’ success. Many studies to model these three concepts separately have been undertaken as part of broader studies of software quality or service quality modelling. However, to the current researcher’s knowledge, none of the studies have focussed on proposing an evaluation model that integrates and combines the three of them. This research is an effort to fill that gap. The primary purpose of this mixed-methods research was to develop a conceptual integrated model for evaluating e-service quality, usability and user experience (e-SQUUX) of WBAs and then contextualise it to evaluation of a University web portal (UWP). This was undertaken using an exploratory sequential research design. During a qualitative phase, an extensive extensive systematic literature review of 264 relevant sources relating to dimensions of e-service quality, usability and user experience, was undertaken to derive an integrated conceptual e-service quality, usability and user experience (e-SQUUX) Model for evaluating WBAs. The model was then empirically refined through a sequential series of validations, thus developing various versions of the e-SQUUX Model. First, it was content validated by a set of four expert reviewers. Second, during the quantitative phase, in the context of a University web portal, a questionnaire survey was conducted that included a comprehensive pilot study with 29 partipants, prior to the main survey. The main survey data from 174 particiapants was used to determine a validated model, using Exploratory factor analysis (EFA), followed by producing a structural model, using partial least square – structural equation modelling (PLS-SEM). This version consisted of the components of the final e-SQUUX Model. Consequently, the research enriches the body of knowledge on IS and HCI by providing the e-SQUUX Model as an evaluation tool. For designers, developers and managers of UWPs, the model serves as a customisable set of evaluation criteria and also provides specific recommendations for design. In line with the Exploratory sequential design of mixed methods research, the findings of the qualitative work in this research influenced the subsequent quantitative study, since the potential Likert-scale questionnaire items were derived from the definitions and meanings of the components that emanated from the qualitative phase of the study. Consequently, this research is an exemplar for developing an integrated evaluation model for specific facets or domains, and of its application in a particular context, in this case, a University web portal. Keywords: e-service quality, usability, user experience, evaluation model, integrated model, exploratory factor analysis, partial least square – structural equation modelling (PLS-SEM), mixed methods research, Exploratory sequential design, quantitative study, qualitative study, validation, Web-based applications, University web portalInformation SystemPh D. (Information Systems

Structural dynamic eutrophication models

This article discusses problems of modelling the seasonal succession of algal species in lakes and reservoirs, and the adaptive selection of certain groups of algae in response to changes in the inputs and relative concentrations of nutrients and other environmental variables. A new generation of quantitative models is being developed which attempts to translate some important biological properties of species (survival, variation, inheritance, reproductive rates and population growth) into predictions about the survival of the fittest, where ”fitness” is measured or estimated in thermodynamic terms. The concept of ”exergy” and its calculation is explored to examine maximal exergy as a measure of fitness in ecosystems, and its use for calculating changes in species composition by means of structural dynamic models. These models accomodate short-term changes in parameters that affect the adaptive responses (species selection) of algae

Merging process models and plant topology

The paper discusses the merging of first principles process models with plant topology derived in an automated way from a process drawing. The resulting structural models should make it easier for a range of methods from the literature to be applied to industrial-scale problems in process operation and design. © 2011 Zhejiang University

Data-driven modelling of biological multi-scale processes

Biological processes involve a variety of spatial and temporal scales. A holistic understanding of many biological processes therefore requires multi-scale models which capture the relevant properties on all these scales. In this manuscript we review mathematical modelling approaches used to describe the individual spatial scales and how they are integrated into holistic models. We discuss the relation between spatial and temporal scales and the implication of that on multi-scale modelling. Based upon this overview over state-of-the-art modelling approaches, we formulate key challenges in mathematical and computational modelling of biological multi-scale and multi-physics processes. In particular, we considered the availability of analysis tools for multi-scale models and model-based multi-scale data integration. We provide a compact review of methods for model-based data integration and model-based hypothesis testing. Furthermore, novel approaches and recent trends are discussed, including computation time reduction using reduced order and surrogate models, which contribute to the solution of inference problems. We conclude the manuscript by providing a few ideas for the development of tailored multi-scale inference methods.Comment: This manuscript will appear in the Journal of Coupled Systems and Multiscale Dynamics (American Scientific Publishers

Supporting 'design for reuse' with modular design

Engineering design reuse refers to the utilization of any knowledge gained from the design activity to support future design. As such, engineering design reuse approaches are concerned with the support, exploration, and enhancement of design knowledge prior, during, and after a design activity. Modular design is a product structuring principle whereby products are developed with distinct modules for rapid product development, efficient upgrades, and possible reuse (of the physical modules). The benefits of modular design center on a greater capacity for structuring component parts to better manage the relation between market requirements and the designed product. This study explores the capabilities of modular design principles to provide improved support for the engineering design reuse concept. The correlations between modular design and 'reuse' are highlighted, with the aim of identifying its potential to aid the little-supported process of design for reuse. In fulfilment of this objective the authors not only identify the requirements of design for reuse, but also propose how modular design principles can be extended to support design for reuse

Uncertainty propagation and speculation in projective forecasts of environmental change: a lake-eutrophication example

The issue of whether models developed for current conditions can yield correct predictions when used under changed control, as is often the case in environmental management, is discussed. Two models of different complexity are compared on the basis of performance criteria, but it appears that good performance at the calibration stage does not guarantee correctly predicted behavior. A requirement for the detection of such a failure of the model is that the prediction uncertainty range is known. Two techniques to calculate uncertainty propagation are presented and compared: a stochastic first-order error propagation based on the extended Kalman filter (EKF), and a newly developed and robust Monte Carlo set-membership procedure (MCSM). The procedures are applied to a case study of water quality, generating a projective forecast of the algal dynamics in a lake (Lake Veluwe) in response to management actions that force the system into a different mode of behavior. It is found that the forecast from the more complex model falls within the prediction uncertainty range, but its informative value is low due to large uncertainty bounds. As a substitute for time-consuming revisions of the model, educated speculation about parameter shifts is offered as an alternative approach to account for expected but unmodelled changes in the system

Modeling structural change in spatial system dynamics: A Daisyworld example

System dynamics (SD) is an effective approach for helping reveal the temporal behavior of complex systems. Although there have been recent developments in expanding SD to include systems' spatial dependencies, most applications have been restricted to the simulation of diffusion processes; this is especially true for models on structural change (e.g. LULC modeling). To address this shortcoming, a Python program is proposed to tightly couple SD software to a Geographic Information System (GIS). The approach provides the required capacities for handling bidirectional and synchronized interactions of operations between SD and GIS. In order to illustrate the concept and the techniques proposed for simulating structural changes, a fictitious environment called Daisyworld has been recreated in a spatial system dynamics (SSD) environment. The comparison of spatial and non-spatial simulations emphasizes the importance of considering spatio-temporal feedbacks. Finally, practical applications of structural change models in agriculture and disaster management are proposed