Managing knowledge for enterprise systems in indian organizations: Case study insights

Many Enterprise Systems (ES) projects have reported nil or detrimental impacts despite the substantial investment in the system. Having expected positive outcomes for the organization and its functions through the weighty spend, the effective management of ES-related knowledge has been suggested as a critical success factor for these ES projects in ES implementations. This paper suggests theoretical views purporting the importance of understanding on knowledge management for ES success. To explain the complex, dynamic and multifaceted of knowledge management, we adopt the concepts in Learning Network Theory. We then conceptualized the impact of knowledge management on ES by analyzing five case studies in several industries in India, based on the Knowledge-based Theory of the Firm that captures the performance of the system.

Knowledge management for enterprise systems: observations from small, medium and large organizations

Anecdotal evidence suggests that the lifecycle-wide management of Enterprise System (ES) related knowledge is critical for ES health and longevity. At a time where many ES-vendors now offering solutions to Small and Medium size organizations, this paper investigates the ability of Small and Medium size organizations to maintain a lifecycle-wide knowledge management strategy. The paper explores the alleged differences in the knowledge management practices across 27 small, medium and large organizations that had implemented a market-leading ES. Results suggest that: (1) despite similar knowledge creation efforts in all three organizational sizes, small organizations struggle with retaining, transferring and applying the knowledge. The study also reveals that, (2) the overall goodness of the knowledge management process in larger organizations remains higher than their small and medium counterparts.

Introducing a small and medium enterprises syllabi design: an enterprise systems hands-on approach

There is increasing attention to the importance of Enterprise Systems (ES) and Information Systems (IS) for Small and Medium Enterprises (SMEs). The same attention must be addressed in IS graduate curriculum. Studies reveal that despite healthy demand from the industry for IS management expertise, most IS graduates are ill-equipped to meet the challenges of modern organizations. The majority of contemporary firms, represented by SMEs, seek employees with a balance of business process knowledge and ES software skills. This article describes a curriculum that teaches Information Technology (IT) and IS managementconcepts in a SMEs context. The curriculum conceptualises a ‘learn-by-doing’ approach, to provide business process and ES software specific knowledge for its students. The approach recommends coverage of traditional content related to SMEs’’ operations, strategies, IT investment and management issues while providing an increased focus on strategic use of enterprise IT. The study addresses to an extent, the perennial challenge of updating IS curriculum, given the rapid pace of technological change.

Developing a knowledge base for enterprise system success: the role of management and operational staff

Knowledge base is one of the emerging concepts in the Knowledge Management area. As there exists no agreed- upon standard definition of a knowledge base, this paper defines a knowledge base in terms of our research of Enterprise Systems (ES). The knowledge base is defined with reference to Learning Network Theory. Using this theoretical framework, we investigate the roles of management and operational staff in organisations and how their interactions can create a better ES-knowledge base to contribute to ES success. We focus on the post- implementation phase of ES as part of the ES lifecycle. Our findings will facilitate future research directions and contribute to better understandings of how the knowledge base can be integrated and how this integration leads to Enterprise System success.

Compressive sensing for gait recognition

Compressive Sensing (CS) is a popular signal processing technique, that can exactly reconstruct a signal given a small number of random projections of the original signal, provided that the signal is sufficiently sparse. We demonstrate the applicability of CS in the field of gait recognition as a very effective dimensionality reduction technique, using the gait energy image (GEI) as the feature extraction process. We compare the CS based approach to the principal component analysis (PCA) and show that the proposed method outperforms this baseline, particularly under situations where there are appearance changes in the subject. Applying CS to the gait features also avoids the need to train the models, by using a generalised random projection.

Intelligent computing and sensing for active safety on construction sites

On obstacle-cluttered construction sites where heavy equipment is in use, safety issues are of major concern. The main objective of this paper is to develop a framework with algorithms for obstacle avoidance and path planning based on real-time three-dimensional job site models to improve safety during equipment operation. These algorithms have the potential to prevent collisions between heavy equipment vehicles and other on-site objects. In this study, algorithms were developed for image data acquisition, real-time 3D spatial modeling, obstacle avoidance, and shortest path finding and were all integrated to construct a comprehensive collision-free path. Preliminary research results show that the proposed approach is feasible and has the potential to be used as an active safety feature for heavy equipment.

Where do we find services in enterprise architectures? A comparative approach

In recent years, enterprise architecture (EA) has captured growing attention as a means to systematically consolidate and interrelate diverse IT artefacts in order to provide holistic decision support. Since the emergence of Service-Oriented Architecture (SOA), many attempts have been made to incorporate SOA artefacts in existing EA frameworks. Yet the approaches taken to achieve this goal differ substantially for the most commonly used EA frameworks to date. This paper investigates and compares five widely used EA frameworks in the way they embrace the SOA paradigm. It identifies what SOA artefacts are considered to be in the respective EA frameworks and their relative position in the overall structure. The results show that services and related artefacts are far from being well-integrated constructs in current EA frameworks. The comparison presented in this paper will support practitioners in identifying an EA framework that provides SOA support in a way that matches their requirements and will hopefully inspire the academic EA and SOA communities to work on a closer integration of these architectures.

Enterprise architecture and the integration of service-oriented architecture

In recent years, enterprise architecture (EA) has captured a growing attention as a means to systematically consolidate and interrelate diverse business and IT artefacts in order to provide holistic decision support. The recent popularity of a service-orientation has added “service “and related constructs as a new element that requires consideration within an Enterprise Architecture. Since the emergence of the Service-Oriented Architecture (SOA), many attempts have been made to incorporate SOA artefacts in existing EA frameworks. Yet, the approaches taken to achieve this goal differ substantially for the most commonly used EA frameworks to date. SOA in the context of enterprise architecture is one of the future research challenges. Several authors argue that further research is needed in order to understand how SOA impacts prior enterprise architecture frameworks. This study explores SOA integration within EA, identifies SOA integration approaches within EA and identifies factors that impact SOA integration within Enterprise Architecture.

Hydrogen gas sensing properties of Pt/Ta2O5 Schottky diodes based on Si and SiC substrates

In this paper, we fabricated Pt/tantalum oxide (Ta2O5) Schottky diodes for hydrogen sensing applications. Thin (4 nm) layer of Ta2O5 was deposited on silicon (Si) and silicon carbide (SiC) substrates by radio frequency (RF) sputtering technique. We compared the performance of these sensors at different elevated temperatures of 100 ∘C and 150 ∘C. At these temperatures, the sensor based on SiC exhibited a larger sensitivity while the sensor based on Si exhibited a faster response toward hydrogen gas. We discussed herein, the responses exhibited by the Pt/Ta2O5 based Schottky diodes demonstrated a promising potential for hydrogen sensing applications.

Hydrogen gas sensing performance of a Pt/graphene/SiC device

In this work, we present the development of a Pt/graphene/SiC device for hydrogen gas sensing. A single layer of graphene was deposited on 6H-SiC via chemical vapor deposition. The presence of graphene C-C bonds was observed via X-ray photoelectron spectroscopy analysis. Current-voltage characteristics of the device were measured at the presence of hydrogen at different temperatures, from 25°C to 170°C. The dynamic response of the device was recorded towards hydrogen gas at an optimum temperature of 130°C. A voltage shift of 191 mV was recorded towards 1% hydrogen at −1 mA constant current.

The business of fashion : entrepreneurship and enterprise learning for the new ‘creative’ global marketplace – the Australian case study [Abstract]

While the fashion industry is normally first to recognise trends and embrace creativity, fashion designers are sometimes the last to acknowledge that business acumen and entrepreneurial skills are needed. However, fashion designers and entrepreneurs are now all members of the new ‘creative’ global marketplace with its inherent need to sell globally and be competitive with international brands. For the Australian industry, this tension creates enormous pressures due to Australia’s small population (and market/s), the decreasing textile and manufacturing base, the increase of ‘creative’ micro businesses and with this the increasing number of young Australians wanting to start their own fashion business. This paper highlights the current size of the Australian fashion industry, the trend for small business models, the ‘career portfolio’ entrepreneur and strategies Australian universities are undertaking to address students wishing to enter the business of fashion. It also identifies case studies where enterprise learning pedagogy has been successfully implemented into the business education of an Australian fashion program and concludes with recommendations for an enterprise pedagogy that creates authentic learning, while working with industry and community stakeholders in flexible university formats.

Sensing properties of e-beam evaporated nanostructured pure and iron-doped tungsten oxide thin films

Gas sensing properties of nanostructured pure and iron-doped WO3 thin films are discussed. Electron beam evaporation technique has been used to obtain nanostructured thin films of WO3 and WO3:Fe with small grain size and porosity. Atomic force microscopy has been employed to study the microstructure. High sensitivity of both films towards NO2 is observed. Doping of the tungsten oxide film with Fe decreased the material resistance by a factor of about 30 when exposed to 5 ppm NO2. The high sensitivity is attributed to an improved microstructure of the films obtained through e-beam evaporation technique, and subsequent annealing at 300oC for 1 hour.

Competitive advantages as a foundation for social advantage: The role of social enterprise in regional development

The belief that regions play a role in determining national economic development and that advantages are found at the local and regional level has been the focus of economic geography and development studies over the last 10 years. However, this issue has historically been dominated by economic perspectives, industrial firms, and public bodies. In recent years the social economy is starting to receive greater attention in creating regional advantage as well as ameliorating regional disadvantage. The social economy includes the impact of the third sector such as social enterprises. This paper proposes that understanding the role and function of social enterprise will enable a more nuanced understanding of the socio-economic aspects of regional development. Drawing upon Oliver’s (1997) framework for sustainable competitive advantage it is argued that this established management framework provides a valuable foundation for examining the organisational resources that social enterprise need to operate effectively, as well as the socio-economic resources they produce for regional communities.

The impact of knowledge integration on enterprise system success

Despite promising benefits and advantages, there are reports of failures and low realisation of benefits in Enterprise System (ES) initiatives. Among the research on the factors that influence ES success, there is a dearth of studies on the knowledge implications of multiple end-user groups using the same ES application. An ES facilitates the work of several user groups, ranging from strategic management, management, to operational staff, all using the same system for multiple objectives. Given the fundamental characteristics of ES – integration of modules, business process views, and aspects of information transparency – it is necessary that all frequent end-users share a reasonable amount of common knowledge and integrate their knowledge to yield new knowledge. Recent literature on ES implementation highlights the importance of Knowledge Integration (KI) for implementation success. Unfortunately, the importance of KI is often overlooked and little about the role of KI in ES success is known. Many organisations do not achieve the potential benefits from their ES investment because they do not consider the need or their ability to integrate their employees’ knowledge. This study is designed to improve our understanding of the influence of KI among ES end-users on operational ES success. The three objectives of the study are: (I) to identify and validate the antecedents of KI effectiveness, (II) to investigate the impact of KI effectiveness on the goodness of individuals’ ES-knowledge base, and (III) to examine the impact of the goodness of individuals’ ES-knowledge base on the operational ES success. For this purpose, we employ the KI factors identified by Grant (1996) and an IS-impact measurement model from the work of Gable et al. (2008) to examine ES success. The study derives its findings from data gathered from six Malaysian companies in order to obtain the three-fold goal of this thesis as outlined above. The relationships between the antecedents of KI effectiveness and its consequences are tested using 188 responses to a survey representing the views of management and operational employment cohorts. Using statistical methods, we confirm three antecedents of KI effectiveness and the consequences of the antecedents on ES success are validated. The findings demonstrate a statistically positive impact of KI effectiveness of ES success, with KI effectiveness contributing to almost one-third of ES success. This research makes a number of contributions to the understanding of the influence of KI on ES success. First, based on the empirical work using a complete nomological net model, the role of KI effectiveness on ES success is evidenced. Second, the model provides a theoretical lens for a more comprehensive understanding of the impact of KI on the level of ES success. Third, restructuring the dimensions of the knowledge-based theory to fit the context of ES extends its applicability and generalisability to contemporary Information Systems. Fourth, the study develops and validates measures for the antecedents of KI effectiveness. Fifth, the study demonstrates the statistically significant positive influence of the goodness of KI on ES success. From a practical viewpoint, this study emphasises the importance of KI effectiveness as a direct antecedent of ES success. Practical lessons can be drawn from the work done in this study to empirically identify the critical factors among the antecedents of KI effectiveness that should be given attention.