A study on small business enterprises in Bangladesh : searching for growth factors and obstacles

Small businesses are the heart of the market-based economy with their business operations in rural and urban areas of developed and developing countries. In Bangladesh, small business enterprises are playing a significant role by contributing to the production and services, employmnet and thereby to GDP. But these are found to face servere competition and different types of constraints. As a result, these have not achieved substantial growth. In view of this, the present study is primarily aimed at identifying factors and obstacles that influence the growth of SBEs. Finally, the paper suggests some policy measures which are expected to excel the growth of SBEs.

CONBPS : an expert system to improve the efficiency of the construction process

The aim of the research outlined in this paper is to develop a best practice process model for building projects based on the use of an expert system. The CONstruction Best Practice System (CONBPS) focusses on projects which are based on the traditional procurement strategy, using the JCT 80 standard form of contract. The model clearly identifies the sequence of construction activities. It also identifies the roles and responsibilities of the major parties on the building team and the issues within the project cycle, which can prove critical to project success. The system incorporates many user-friendly functions, including the provision of multi-choice icons and the provision of an on-line help function. Besides, it also provides interim and final reports which are used to advise the participants on the success factors that they have ignored and to which aspects they should pay more attention. A framework was initially developed focussing on the whole design process with a full knowledge-based system developed for the Inception Stage. CONBPS can be used as a teaching/learning tool to assist teachers and students to better understand the construction process. Also, it could prove useful to project managers and all the participants in the construction process.

Application of an adaptive neural network with symbolic rule extraction to fault detection and diagnosis in a power generation plant

Artificial neural networks have a good potential to be employed for fault diagnosis and condition monitoring problems in complex processes. In this paper, the applicability of the fuzzy ARTMAP (FAM) neural network as an intelligent learning system for fault detection and diagnosis in a power generation plant is described. The process under scrutiny is the circulating water (CW) system, with specific attention to the conditions of heat transfer and tube blockage in the CW system. A series of experiments has been conducted systematically to investigate the effectiveness of FAM in fault detection and diagnosis tasks. In addition, a set of domain rules has been extracted from the trained FAM network so that its predictions can be explained and justified. The outcomes demonstrate the benefits of employing FAM as an intelligent fault detection and diagnosis tool with an explanatory capability for monitoring and diagnosing complex processes in power generation plants.

Multiple perspectives framework to model complex processes

The growing complexity of organisations has resulted in collaboration between multiple stakeholders becoming a challenging and critical issue that organisations must address in order to ensure their practices are sustainable. A multiple-case field study was conducted in order to demonstrate the proposed methodology of analysis and examination for knowledge-based systems in an actual organisational setting. The use of a multiple-perspective framework to improve understanding of the complex relationships in such systems was examined. In particular, the case study focused on the Australian Government’s Nation Building Economic Stimulus Plan (NBESP) which provided $1.9 billion to construct social housing across the State over two years. The results suggest that the use of a multi-perspective framework is appropriate and that there is a need for attention to be paid to the economic perspective.

Transfer of electronic commerce trust between brick-and-mortar and online business environments

Through experimentation, we establish a causal relationship between trust and the expansion of a retailer from online to brick-and-mortar and vice versa. Trust is multidimensional and contingent on the distribution path first chosen. Vendor trustworthiness (knowledge-based) and technological trustworthiness (institution-based) have different effects depending on the initial and new distribution channel. Expanding from brick-and-mortar to online negatively affects technology-based trust, while transfers from an online to a physical location maintain the same level of technology-based trust. Vendor-based trust is positively affected by transfer from online to the brick-and-mortar location, and is not significantly unaffected by transfers from brick and-mortar to online locations. The perceived “permanence” of a physical location influences consumer beliefs about the location’s trustworthiness.

Special issue : Computational intelligence models for image processing and information reasoning

Computational Intelligence (CI) models comprise robust computing methodologies with a high level of machine learning quotient. CI models, in general, are useful for designing computerized intelligent systems/machines that possess useful characteristics mimicking human behaviors and capabilities in solving complex tasks, e.g., learning, adaptation, and evolution. Examples of some popular CI models include fuzzy systems, artificial neural networks, evolutionary algorithms, multi-agent systems, decision trees, rough set theory, knowledge-based systems, and hybrid of these models. This special issue highlights how different computational intelligence models, coupled with other complementary techniques, can be used to handle problems encountered in image processing and information reasoning.

External policy influence and higher education reform in Ethiopia : understanding symbolic power of the World Bank

Increasingly national policy processes are intersected with and affected by global policy actors and ideas. In aid-recipient countries such as Ethiopia, donors use financial and non-financial means to influence national policy decisions and directions. This paper is about the non-financial influence of the World Bank (WB) in the Ethiopian higher education policy reform. Using Pierre Bourdieu’s concept of symbolic power as a ‘thinking tool’, the paper aims to shed light on forms of symbolic capital that the Bank uses to generate a ‘misrecognisable’ form of power that regulates the HE policy process in Ethiopia. The findings show that the WB transforms its symbolic capital of recognition and legitimacy to establish a ‘shared misrecognition’ and thereby make its policy prescriptions implicit and hence acceptable to local policy agents. The Bank uses knowledge-based regulatory instruments to induce compliance to its neoliberal policy prescriptions. The paper therefore underscores the value of symbol power as an analytical framework to understand elusive but critical role of donors in policy processes of aid recipient countries.

It's a dirichlet world: Modeling individuals' loyalties reveals how brands compete, grow, and decline

The Dirichlet is one of the most important theoretical achievements of marketing science. It provides insights into the distribution of consumer loyalties and is used widely in industry for benchmarking and interpreting brand performance. The Dirichlet’s implications run counter to some well-entrenched marketing pedagogy and so, unsurprisingly, it has attracted criticism arguing that it cannot adequately reflect the dynamic nature of consumer choice. The authors address these criticisms by discussing how consumer loyalties are manifested and examining whether changes in consumer loyalties do, in fact, disrupt Dirichlet buying patterns. To the best of our discipline’s knowledge, based on extensive empirical and theoretical work, brands compete in a Dirichlet world.

Three types of monotonicity of averaging functions

Monotonicity with respect to all arguments is fundamental to the definition of aggregation functions, which are one of the basic tools in knowledge-based systems. The functions known as means (or averages) are idempotent and typically are monotone, however there are many important classes of means that are non-monotone. Weak monotonicity was recently proposed as a relaxation of the monotonicity condition for averaging functions. In this paper we discuss the concepts of directional and cone monotonicity, and monotonicity with respect to majority of inputs and coalitions of inputs. We establish the relations between various kinds of monotonicity, and illustrate it on various examples. We also provide a construction method for cone monotone functions.

Exceptional object analysis for finding rare environmental events from water quality datasets

This paper provides a novel Exceptional Object Analysis for Finding Rare Environmental Events (EOAFREE). The major contribution of our EOAFREE method is that it proposes a general Improved Exceptional Object Analysis based on Noises (IEOAN) algorithm to efficiently detect and rank exceptional objects. Our IEOAN algorithm is more general than already known outlier detection algorithms to find exceptional objects that may be not on the border; and experimental study shows that our IEOAN algorithm is far more efficient than directly recursively using already known clustering algorithms that may not force every data instance to belong to a cluster to detect rare events. Another contribution is that it provides an approach to preprocess heterogeneous real world data through exploring domain knowledge, based on which it defines changes instead of the water data value itself as the input of the IEOAN algorithm to remove the geographical differences between any two sites and the temporal differences between any two years. The effectiveness of our EOAFREE method is demonstrated by a real world application - that is, to detect water pollution events from the water quality datasets of 93 sites distributed in 10 river basins in Victoria, Australia between 1975 and 2010. © 2012 Elsevier B.V..

Unsettling India: affect, temporality, transnationality

In the last 20 years, India has witnessed visible, and often acrimonious, contests between global and local, modernity and tradition, markets and the State. The economic domain has seen a shift from a protected capitalist economy that tried to mix planning with a market-based economy, to a regime increasingly marked by neoliberalism and declining welfare state. This is a period of high economic growth, prosperity for some groups, and an increase in inequality levels in the country. We also witness an ongoing agrarian crisis in rural India, where the majority lives, contributing to more than 200,000 farm suicides in the last two decades. In the political domain, there is a distinct rightward shift with an unprecedented rise of Hindu majoritarianism that has recently culminated in the elevation of Narendra Modi to the post of Prime Minister. On the one hand, the new India is trying to be assertive as it tries to find its place as a global power and is stridently militaristic in its geopolitical interactions. On the other hand, it is trying to integrate into the global capitalist economy to catch up with the richer nations of the world as it strives for greater growth. In the socio-cultural sphere, marketization comes mixed with emphases on Hindu notions of good life and India’s mythical past, as the country witnesses a heady cocktail of religion and neoliberal capitalism that defines its political economy.

Developing professional expertise in the knowledge economy: integrating industry-based learning with the academic curriculum in the field of information technology

In response to the forces of globalization, organizations have had to adapt and even transform themselves. Universities have had to recognize the value of practical working knowledge developed in workplace settings, and promote the value of academic forms of knowledge making to the practical concerns of everyday learning. This paper presents a contemporary case of a designed professional curriculum in the field of information technology that situates workplace learning as a central element in the education of students. Key integrative dimensions are considered along with an analysis of the perspectives of teaching staff and students on the educational experience. (Asia-Pacific Journal of Cooperative Education, 2004, 5(2), 1-11)

Communities of enterprise : developing regional SMEs in the knowledge economy

Purpose – This paper proposes the concepts of Communities of Enterprise (CoEs) and Virtual Communities of Enterprise (VCoEs) to describe business networking patterns in regional areas where there is no central organisational or industry focus and small and medium enterprises dominate the economy. Design/methodology/approach – Based on analysis of the literature this paper builds on theoretical understandings of knowledge management, clustering and regional development.
Findings – The concept of CoEs is most appropriate for regional areas characterised by many small enterprises in diverse industries. CoEs enhance development of regional clusters by contributing to their intellectual capital, innovation culture, value networks and social capital. The incorporation of ICT creates VCoEs which provide added potential by enabling regions to expand their learning potential through innovation.
Research limitations/implications – This paper provides a conceptual foundation for empirical research into regional network or cluster development using ICT.
Practical implications – Virtual Communities of Enterprise value creation potential is substantial but only when the socioeconomic elements of regional clusters are understood. The VCoE approach addresses the fact that without an industry focus it can be difficult to engage and link SMEs from different industries, although this is where the greatest potential
for value creation in regional clusters is to be found.
Originality/value – The Virtual Communities of Enterprise (VCoEs) concept specifically addresses the unique requirements of SMEs in regions. It has the potential to provide value for regions in a way few ICT based regional development initiatives have been able to achieve.