Modelling Governance Indicators and Managing e-Business Information Systems

Information Systems are in growing demand in various business and government organizations. Despite increased competition, business growth and technology innovation, at times, we overlook the governance, transparency, integrity and business ethics, with the result, the quality of deliverable products and services is compromised. Several external factors such as corruption, ineffective governance, political instability, flawed regulations and violation of rules of law, unaccountability affect the connectivity between outside influences and technology implementations. To summarize, weak governance practices and unjustified business ethics are impediments to business IS implementations. Appropriate technological innovations and remedial measures are needed that can substantiate our adaptation and implementation measures. The challenges are examined in the form of a three-tiered technology development motivation, which consists of mitigation, adaptation and implementation actions. We explore the relevant issues and challenges, and the need for a holistic IS research approach with follow-up technological remedies and accountability of results in the affected geographies and demography. The purpose of the research is to build IS artefacts to link governance attributes with the lapses existing between information management, organization strategies and e-business needs. An integrated IS architecture is proposed to explore the congruence between governance indicators and e-business IS requirements. The study further explores the wide-ranging of governance indicators that affected the business IS development and implementation. Cognizance of governance facts and their modelling in e-business contexts are pathways to instigate business IS artefacts and manage their needs in industry scenarios. Based on empirical research done on attribute modelling for 200 governments worldwide, we articulate our research findings with a claim that the e-business objectives are accomplishable through successful implementation of IS architectures in industrial environments through improved governance and transparency. Various IS strategies emerge to rescue the business and organization openness and transparency. Mitigation and critical interrogation of governance indicators facilitate us understand the research phenomena and adaptation of IS artefacts that accustomed to e-business change management. Models describing affected governments, documentation in the form of multidimensional repositories, with sustainability-manifested management and accounting are the outcomes of the research. Implementation of articulated IS architecture, and its adaptations by business and government organizations ensure us smart and sustainable e-business solutions in place, operationalizing governance policies, as adhered by various stakeholders. The research offers sustainable IS artefacts and online services to multiple government organizations and businesses. The benefits of the research are multifold, and they are improved internal operations and delivery of quality public services through established electronic services. Reduced waiting times, raising transparency, reinforcing equalities, and smoothening of the overall functioning of the organizations are added benefits of the study. Cost savings, improved communications, and increased government accountability are other gains of the study

Information System Articulation Development - Managing Veracity Attributes and Quantifying Relationship with Readability of Textual Data

Often the textual data are either disorganized or misinterpreted because of unstructured Big Data in multiple dimensions. Managing readable textual alphanumeric data and its analytics is challenging. In spatial dimensions, the facts can be ambiguous and inconsistent, posing interpretation and new knowledge discovery challenges. The information can be wordy, erratic, and noisy. The research aims to assimilate the data characteristics through Information System (IS) artefacts that are appropriate to data analytics, especially in application domains that involve big data sources. Data heterogeneity and multidimensionality can make and preclude IS-guided veracity models in the data integration process, including customer analytics services. The veracity of big data thus can impact visualization and value, including knowledge enhancement in the vast amount of textual data qualitatively. The manner the veracity features construed in each schematic, semantic and syntactic attribute dimension in several IS artefacts and relevant documents can enhance the readability of textual data robustly

Information System Articulations – Modelling and Managing Mental Health Disorders in Pandemic Environments

Human abnormal thoughts, perceptions, emotions, and behavioral patterns have exhibited a variety of mental health disorders, but deteriorated their traits in pandemic times with severe illnesses. Falling human physiological and psychological functions have incapacitated mental stamina with questionable human survival in an environment, where pandemic situations aggravated the current human persistence, even compromising health services. The research aims to explore the connectivity between human affected pandemic environment and mental health ailments, including human-behavior ecological entities, through development of holistic Information System (IS) articulations. Several mental health disorders are described in diverse attribute dimensions, including their spatial-temporal dimensions. Different attributes are discernable from settings of human-affected pandemic environments and mental healthcare construed interfaces. The growth of physiological and psychological disorders in diverse geographies and demography, among mass populations, has motivated us to acquire large volumes and varieties of data. We explore the Attribute Journey Mapping and Modelling (AJMM) method to build knowledge-based data mining, visualization, and interpretation models that can deliver a large amount of new knowledge on mental disorders in pandemic environments. In this method, we identify and examine hundreds of attributes in Human Anatomy, Physiology and Psychology Integrated Egghead Relationships (HAPPIER), including their compatibility in the AJMM method. Modelling and managing the human body in the contexts of anatomy, physiology and psychological attributes, have received significant attention, with a focus on developing an integrated framework with IS articulations. Innovative IS articulations and ontological descriptions can facilitate interconnecting various human-anatomy, -physiology and –psychology features. Integration of multilayered and multidimensional IS artefacts, including domain ontologies in a methodological architecture, can facilitate us in building large size repository systems with interconnectable data views, usable by medical practitioners and bringing values in new knowledge domains. The structured repositories and AJMM metadata contribute to mental healthcare projects effectively

Information System guided Sustainable Digital Logistics and Supply Chains – Managing Integrated Business Operations

Large size logistics and supply chains can exhibit data heterogeneity and multidimensionality challenges complicating the Information System (IS) construct design, model development, even precluding the data integration process. IS designs and models may be ambiguous during implementation of supply chain business management scenarios, affecting the industry business operations. Unpredictable IS designs can disarrange the data systems and can be bottlenecks of logical mapping and modelling supply chain management systems. These barriers can deter the decision-making process, constraining the tolerance between supply chains and geographically controlled database systems. New IS designs, and models are needed to resolve the data complexity that can smoothen the logistics and supply chain operations in spatial-temporal dimensions. The current research aims to develop a holistic information system approach in which multidimensional logistics and supply chains and their data views are examined to analyze the connectivity through IS ontology descriptions. Multidimensional ontology and Big Data guided ecosystems, inevitable to depict new knowledge within a geographic area, where Big Data novelty interprets data sources of multiple ecosystems, are added motivations for assessing the connectable supply chain operations and their sustainability. Multidimensional IS constructs, in which several distinct but related dimensions are treated as a single concept within an integrated framework. Use and reuse of IS artefacts, including effectiveness, interoperability evaluable utility properties, have significance in the research. Sustainability is additional assessable indicator of logistics and supply chains with supportable domain models, resilient data, vital schema constructs and prototypes, and achievable, stable and reliable repository systems. The integrated framework articulations analysed with laws of geography can influence the operational costs, sure for better lead times and enhanced stock management. The research outcome relies on the tactical development of the proposed IS framework to examine the sustainability between geographically distributed multiple logistics and supply chains and assess new business opportunities

Developing Information System Articulations for Managing Digital Mental Health and its Spatial-Temporal Knowledge

The research emerges with new insights of Information System (IS) articulations and pathways of connecting human-anatomy, physiology, psychology, and human-behavior ecological entities and their attributes. The connectivity is the basis for examining various mental disorders and their discernment in digital representations. Several types of mental disorders in groups and classes are presentable by offering novel IS artefacts and their articulations of mental ailment attributes. We have chosen to map and model abnormal thoughts, perceptions, emotions, and behavioral pattern attributes that lead to anxiety, depression, and schizophrenia ailments, which can be deadly and suicidal. The study is further aimed at associating IS articulations and domain ontologies in a common framework, articulated among attributes of mental health for managing remedial trials and mitigating preventable ailments. The IS artefacts deduced in various logical star, and fact constellation schemas demonstrate the interdependence between groups of mental disorders and assimilate their connectivity in spatial-temporal dimensions