Organisational sustainability modelling - An emerging service and analytics model for evaluating Cloud Computing adoption with two case studies

© 2015 Elsevier Ltd. Cloud Computing is an emerging technology which promises to bring with it great benefits to all types of computing activities including business support. However, the full commitment to Cloud Computing necessary to gain the full benefit is a major project for any organisation, since it necessitates adoption of new business processes and attitudes to computing services in addition to the immediately obvious systems changes. Hence the evaluation of a Cloud Computing project needs to consider the balance of benefits and risks to the organisation in the full context of the environment in which it operates; it is not sufficient or appropriate to examine technical considerations alone.In this paper, we consider the application of CAPM, a well established approach used for the analysis of risks and benefits of commercial projects to Cloud adoption projects and propose a revised and improved technique, OSM. To support the validity of OSM, two full case studies are presented. In the first, we describe an application of the approach to the iSolutions Group at University of Southampton, which focuses on evaluations of Cloud Computing service improvement. We then illustrate the use of OSM for measuring learning satisfaction of two cohort groups at the University of Greenwich. The results confirm the advantages of using OSM. We conclude that OSM can analyse the risk and return status of Cloud Computing services and help organisations that adopt Cloud Computing to evaluate and review their Cloud Computing projects and services. OSM is an emerging service and analytics model supported by several case studies

ERP implementation methodologies and frameworks: a literature review

Enterprise Resource Planning (ERP) implementation is a complex and vibrant process, one that involves a combination of technological and organizational interactions. Often an ERP implementation project is the single largest IT project that an organization has ever launched and requires a mutual fit of system and organization. Also the concept of an ERP implementation supporting business processes across many different departments is not a generic, rigid and uniform concept and depends on variety of factors. As a result, the issues addressing the ERP implementation process have been one of the major concerns in industry. Therefore ERP implementation receives attention from practitioners and scholars and both, business as well as academic literature is abundant and not always very conclusive or coherent. However, research on ERP systems so far has been mainly focused on diffusion, use and impact issues. Less attention has been given to the methods used during the configuration and the implementation of ERP systems, even though they are commonly used in practice, they still remain largely unexplored and undocumented in Information Systems research. So, the academic relevance of this research is the contribution to the existing body of scientific knowledge. An annotated brief literature review is done in order to evaluate the current state of the existing academic literature. The purpose is to present a systematic overview of relevant ERP implementation methodologies and frameworks as a desire for achieving a better taxonomy of ERP implementation methodologies. This paper is useful to researchers who are interested in ERP implementation methodologies and frameworks. Results will serve as an input for a classification of the existing ERP implementation methodologies and frameworks. Also, this paper aims also at the professional ERP community involved in the process of ERP implementation by promoting a better understanding of ERP implementation methodologies and frameworks, its variety and history

Investigating the Barriers to Quality 4.0 Adoption in the Indian Manufacturing Sector: Insights and Implications for Industry and Policymaking

Purpose: The research explores the shift to Quality 4.0, examining the move towards a data-focused transformation within organizational frameworks. This transition is characterized by incorporating Industry 4.0 technological innovations into existing quality management frameworks, signifying a significant evolution in quality control systems. Despite the evident advantages, the practical deployment in the Indian manufacturing sector encounters various obstacles. This research is dedicated to a thorough examination of these impediments. It is structured around a set of pivotal research questions: Firstly, it seeks to identify the key barriers that impede the adoption of Quality 4.0. Secondly, it aims to elucidate these barriers' interrelations and mutual dependencies. Thirdly, the research prioritizes these barriers in terms of their significance to the adoption process. Finally, it contemplates the ramifications of these priorities for the strategic advancement of manufacturing practices and the development of informed policies. By answering these questions, the research provides a detailed understanding of the challenges faced. It offers actionable insights for practitioners and policymakers implementing Quality 4.0 in the Indian manufacturing sector. Design/methodology/approach: Employing Interpretive Structural Modelling (ISM) and Matrix Impact of Cross Multiplication Applied to Classification (MICMAC), we probe the interdependencies amongst fourteen identified barriers inhibiting Quality 4.0 adoption. These barriers were categorised according to their driving power and dependence, providing a richer understanding of the dynamic obstacles within the Technology-Organization-Environment (TOE) framework. Findings: The study results highlight the lack of Quality 4.0 standards and Big Data Analytics (BDA) tools as fundamental obstacles to integrating Quality 4.0 within the Indian manufacturing sector. Additionally, the study results contravene dominant academic narratives, suggesting that the cumulative impact of organisational barriers is marginal, contrary to theoretical postulations emphasising their central significance in Quality 4.0 assimilation. Originality: This research delineates specific obstacles to Quality 4.0 adoption by applying the TOE (Technology-Organization-Environment) framework, detailing how these barriers interact with and influence each other, particularly highlighting the previously overlooked environmental factors. The analysis reveals a critical interdependence between 'Lack of standards for Quality 4.0' and 'Lack of standardised Big Data Analytics (BDA) tools and solutions', providing nuanced insights into their conjoined effect on stalling progress in this field. Moreover, the study contributes to the theoretical body of knowledge by mapping out these novel impediments, offering a more comprehensive understanding of the challenges faced in adopting Quality 4.0. Practical implications: This research provides concrete strategies, such as developing a collaborative platform for sharing best practices in Quality 4.0 standards, which fosters a synergistic relationship between organizations and policymakers, for instance, by creating a joint task force, comprised of industry leaders and regulatory bodies, dedicated to formulating and disseminating comprehensive guidelines for Quality 4.0 adoption. This initiative could lead to establishing industry-wide standards, benefiting from the pooled expertise of diverse stakeholders. Additionally, the study underscores the necessity for robust, standardized Big Data Analytics tools specifically designed to meet the Quality 4.0 criteria, which can be developed through public-private partnerships. These tools would facilitate the seamless integration of Quality 4.0 processes, demonstrating a direct route for overcoming the barriers of inadequate standards

A Systematic Literature Review on Innovative Technologies Adopted in Logistics Management

Many innovative technologies have been successfully adopted in logistics and supply chain management processes to increase efficiency, reduce costs or enhance communication. In recent years, considerable attention from both practitioners and academics has been focused on evaluating the impacts of innovative technologies adoption. However, the current body of literature on technology adoption, implementation and evaluation in logistics is quite fragmented; thus, an updated and structured overview of the scientific literature in this field might be useful. To this end, this work presents a systematic literature review (SLR) that aims to increase the understanding of the trend toward new technologies in logistics and identify the main research trends and gaps. The principal research trends that emerged from the SLR involve the technologies, their evolution over time and their relationships with the research methodologies. The main literature gaps concern integration and communication, technology-adoption processes and differences between inbound and outbound logistics

Sustaining the Momentum: Archival Analysis of Enterprise Resource Planning Systems (2006–2012)

The domain of Enterprise Resource Planning (ERP) systems is an enduring paradigm for Information Systems (IS) researchers. The Enterprise System paradigm provides a rich environment to test fundamental concepts like system adoption, system use and system success, while acknowledging changes derived through longer system lifecycles and multiple user cohorts. On the other hand, ERP systems are in the centre of new contemporary radical changes in technologies on cloud computing, mobile platforms and big data. Moreover, ERP Systems provide the context for cross disciplinary research such as change management, knowledge management, project management and business process management research. This article provides a critique of 219 papers published on ERP Systems from 2006–2012, making observations of ERP research and make recommendations for future research directions

The e-Government Development Discourse

research agenda for e-Government. When e-Government was first conceived, it was designed upon basic technologies where the emphasis was only on the simple display of government information for citizens to read. Nowadays, e-Government design comprises many complicated modules such as upload and download consoles, two-way interaction consoles between citizens and government agents, integrated government business processes presenting the whole of government, and it does not depend solely on technology. The complexity of e-Government has now evolved to include political, cultural, economic, social and technical dimensions. Bringing all these difficult aspects together is so complicated that it needs carefully planned strategies informed by local contextual characteristics. Rather than giving formulaic definitions and conceptual standpoints on many aspects of e-Government, as is the case in many e-Government publications, this book will explore the frontiers of global knowledge value chains by discussing current and future dimensions of e-Government. For example, the book discusses the concept of data governance by exploring how actual opening up of government data can be achieved, especially in a developing world context. Further, the book posits that opening government data should be followed by the opening up of government business processes in order to peddle the concept of accountability and responsiveness. Much text on data governance has concentrated on articulating the basic definitions surrounding this concept. Another very important topic explored in this book is regarding how the concept of decolonisation can be extended to e-Government by providing practical examples as to how researchers in the developing world can contribute to the advancement of e-Government as a scientific field of enquiry and guide its implementation, thereof. Decolonisation is advocated for in e-Government research so that there is a balance in the inclusion of the Afrocentric knowledge into e-Government advancement other than over-reliance on the Euro-, Asia- and America-centric knowledge value chains (Mbembe 2015). As e-Government is a very expensive undertaking, the issue of funding has excluded African countries and a majority of the developing world from implementing e-Government. Despite funding being a critical cornerstone of e-Government development, there is a dearth of information on this topic. Therefore, this book provides a chapter which discusses traditional and innovative ways of funding e-Government design and implementation which can go a long way in improving e-Government penetration into the developing world. Further, the book explores how intelligent e-Government applications can be designed, especially in resource-constrained countries. A couple of emerging technology innovations such as fog computing and intelligent information technology are explored within the realm of e-Government design

Industry 4.0 and sustainability: Towards conceptualization and theory

Both Industry 4.0 and sustainability have gained momentum in the academic, managerial and policy debate. Despite the relevance of the topics, the relation between Industry 4.0 and sustainability \u2013 revealed by many authors \u2013 is still unclear; literature is fragmented. This paper seeks to overcome this limit by developing a systematic literature review of 117 peer-reviewed journal articles. After descriptive and content analyses, the work presents a conceptualization and theoretical framework. The paper contributes to both theory and practice by advancing current understanding of Industry 4.0 and sustainability, especially the impact of Industry 4.0 technologies on sustainability practices and performance

Epilogue: Summary and Outlook

Open Journal of Big Data (OJBD) is an open access journal addressing aspects of Big Data, including new methodologies, processes, case studies, poofs-of-concept, scientific demonstrations, industrial applications and adoption. This editorial presents three articles in the second issue. The first paper is on Big Data in the Cloud. The second paper is on Statistical Machine Learning in Brain State Classification using EEG Data. The third article is on Data Transfers in Hadoop. OJBD has a rising reputation thanks to the support of research communities, which has helped us set up the First International Conference on Internet of Things and Big Data (IoTBD 2016), in Rome, Italy, between 23 and 25 April 2016. OJBD is published by RonPub (www.ronpub.com), which is an academic publisher of online, open access, peer-reviewed journals

STRATEGIC DECISION-MAKING IN A TURBULENT BUSINESS ENVIRONMENT: A DYNAMIC CAPABILITIES FRAMEWORK FOR QUANTITY SURVEYING PROFESSIONAL SERVICE FIRMS IN IRELAND

The construction industry contributes significantly to the socio-economic development of nations through infrastructure development, and job creation culminating into the growth of Gross Domestic Product (GDP). Quantity Surveying Professional Service Firms (QSPSFs) play a critical role in the construction industry by ensuring that projects are delivered within cost, required quality and duration by providing technical and knowledge-intensive services to clients, contractors and stakeholders. Irish QSPSFs are facing challenges such as tender price inflation, intense competition, a skills shortage and disruptive technology. These challenges coupled with the cyclicality of the sector create a turbulent business environment for Irish QSPSFs, yet there remains a paucity of empirical evidence pertaining to how strategic decisions are made by these firms. Strategic planning is critical to addressing the challenges confronting business organisations such as the Irish QSPSFs; however, to date strategic planning has focused to a greater extent on manufacturing, oil and gas, retail, consumer products and light manufacturing, whereas there remains limited empirical investigation within the construction industry. This study aims to address this gap by examining the strategic decision-making process of Irish QSPSFs operating in the changing environment of the construction industry. What sets the research apart is that a Dynamic Capabilities (DC) perspective has been used with focus on sensing; seizing; and transformation, culminating into its integration into the development of a strategic decision-making framework. This study is entrenched in the pragmatist philosophical stance with emphasis on the positivist and interpretivist position and adopts mixed method by using quantitative and qualitative approaches over two phases. The first phase involves a survey administered with support from the Society of Chartered Surveyors Ireland (SCSI) to 350 member practices whereby a single senior Quantity Surveyors (QS) in each practice was invited to participate. Seventy-two usable survey questionnaires completed by respondents were prepared for data analysis. The second phase of the research comprised of interview with ten chief executives or managing directors of Irish QSPSFs. The study found the most preferred strategic choice at the corporate level of QSPSFs as the expansion of services to new markets and sectors. At the business level, the investigation discovered the differentiation of services as the main strategic choice of QSPSFs. Furthermore, participation in strategic decision-making is very critical to the success of strategy formulation in organisations. This study identifies the factors that drive participation in strategic decision-making as the knowledge and competence of staff; personality traits; and the ability of people to make decision at the operational level of the organisation. The investigation also found that strategic change has occurred in QSPSFs over the past ten years. This strategic change is attributable to turbulent environmental conditions such as economic recession, in particular reference to the prolong economic recession 2008-2013. The investigation identified the specific strategic changes that occurred in QSPSFs as growth and expansion into new markets; agglomeration, and changes in the ownership and management structure. The negative and positive impacts of economic recession on QSPSFs have also been identified in this investigation. For instance, a radical shift in strategic response from being proactive to reactive; and self-preservation of ownership structure are the ii adverse effects of economic recession identified by the study while knowledge acquisition; and risk profiling for identification and capturing of opportunities are the positive impacts of economic recession. The study found significant statistical evidence to confirm a strong relationship between the turbulent business environment and the strategic decision-making process characteristics of QSPSFs. A strategic decision-making framework was developed on the basis of field work undertaken which was subsequently validated by respondent practices. The framework is the first of its kind pertaining to construction PSFs