Quality And Effectiveness Of Enterprise Resource Planning - Customer Relationship Management Systems: Implications For Information Systems Marketing Strategies

The present research examines the success of Enterprise Resource Planning (ERP) systems in Greece, employing Delone and McLean’s model. The questionnaires of the study were e-mailed to the 1,049 largest organizations based on turnover and assets. The final research sample consists of 105 Greek enterprises. The list of organizations was compiled by using the Index of Companies and Products Directory (ICAP). Results show that users have more positive attitude towards system quality and information quality and less positive attitude towards service quality. Moreover, users believe that ERP systems enhance their performance and can contribute to the control of management. Furthermore, present paper proved that D&M model constitutes a causal model with the exception of the variable of system use that is only related to user satisfaction, and ERP system quality.The findings of this research trigger many theoretical and managerial implications and create lots of potential for future research in the fields of Information Systems, Management, and Marketing

Influence of information product quality on informing users: A web portal context

Web portals have been used as information products to deliver personalized, feature-rich, and flexible information needs to Internet users. However, all portals are not equal. Most of them have relatively a small number of visitors, while a few capture the majority of surfers. This study seeks to uncover the factors that contribute the perceived quality of a general portal. Based on 21 factors derived from an extensive literature review on Information Product Quality (IPQ), web usage, and media use, an experimental study was conducted to identify the factors that are perceived by web portal users as most relevant. The literature categorizes quality factors of an information product in three dimensions: information, physical, and service. This experiment suggests a different clustering of factors: Content relevancy, Communication interactiveness, Information currency, and Instant gratification. The findings in this study will help developers find a more customer-oriented approach to developing high-traffic portals.ope

Multicriteria analysis of the compliance for the improvement on information security

ABSTRACT: Information security is a current issue of protection of information assets that considers significant variables of a strategic, organizational and IT governance nature, and that requires to analyze the compliance with international standards that regulate business actions. In this way, the work analyzes institutional compliance to improve information security applying the Analytic Hierarchy Process methodology to the specific practices defined in ISO/IEC 27002:2013. Expert Choice has been used as Decision Support Systems that has generated as a result the ranking of priorities of the criteria and alternatives used in the decisional process. It has been later applied in a medium-sized Brazilian industrial company. The results identify that the main security practice is the one related to the independent critical analysis of information security

Corporate Governance and IT Corporate Governance Using the Analytic Hierarchy Process in Creating Value

RESUMEN: La creación de valor depende directamente de la Gobernanza Corporativa (GC) y de la Gobernanza Corporativa de TI (GCTI), ambas vinculadas con los objetivos corporativos porque presentan a la empresa de manera más segura y sostenible a los stakeholders y a la sociedad en general, aumentando su diferencial competitivo. En este sentido de crear valor para satisfacer las necesidades de las partes interesadas, estructurando sistémicamente la empresa y perfeccionando su proceso decisorio multicriterio es en el que este trabajo integra las dos gobernanzas a través de los criterios de Beneficios, Riesgos y Recursos y de diferentes sub-criterios y alternativas de decisión. Para ello se aplica el método Analytic Hierarchy Process para definir cuáles son las prioridades en GC y GCTI que más valor crean para las empresas. Esta cuestión ha sido respondida generando un modelo teóricopráctico estructurado por medio del Generador de Sistemas de Apoyo a la Decisión. Los resultados encontrados están relacionados con los criterios de Beneficios (55%), Recursos (24%) y Riesgos (21%). Las alternativas prioritarias están vinculadas con decisiones de: inversión y prioridades de TI (32,6%); necesidades de aplicaciones de negocios (24,6%); principios de TI (16,0%); arquitectura de TI (16,0%); e infraestructura de TI (10,8%).ABSTRACT: Value Creation directly depends on Corporate Governance (CG) and Corporate Governance of IT (CGTI), both linked to corporate objectives because they present the company in a more secure and sustainable way to stakeholders and society in general, increasing their competitive differential. In this sense of creating value to satisfy the needs of stakeholders, systemically structuring the company and perfecting its multicriteria decision-making process is where this work integrates the two governances through the criteria of Benefits, Risks and Resources and different sub-criteria and decision alternatives. To do this, the Analytic Hierarchy Process is applied to define the CG and CGTI priorities that create the most value for companies. This question has been answered by generating a theoreticalpractical model structured through the Decision Support System Generator. The results found are related to the criteria of Benefits (55%), Resources (24%) and Risks (21%). The priority alternatives are linked to decisions of: IT investment and priorities (32.6%); business application needs (24.6%); IT principles (16.0%); IT architecture (16,0%); and IT infrastructure (10.8%)

Validity of DeLone and McLean\u27s Model of Information Systems success at the web site level of analysis

The DeLone and McLean Model of Information Systems (IS) Success is one of the most cited and commonly-used models in the IS literature. Generally, the model has been used mainly to explain IS success at the individual level of analysis. However, in rare occasions it has been utilized on its entirety to measure success at the organizational level of analysis. In this study, the DeLone and McLean Model of IS Success is applied at the organizational level of analysis in the E-commerce environment. We gather website features from 448 top retailers, categorize them following DeLone and McLean’s taxonomy, and introduce them as the independent variables in our model. The results of our study provide support for utilizing the model to explain the dimensions and relationships of IS Success at the organizational level of analysis. At this higher level, website features that map to quality perceptions of system quality, information quality, and service quality do exist. In terms of relationships between these dimensions; the analysis suggests that both system quality and service quality positively affect system use; and system use strongly affects net benefits as measured by organizational sales. Furthermore, as an extension of the DeLone and McLean model, we add direct paths from all three qualities to net benefits (sales). Results from this extension of the model suggest that information quality and system quality directly affect net benefits. Results from this study have strong implications for the IS field and especially for the e-commerce environment. First, it provides support for utilizing real world objective data as outcomes of the analysis. Second, it provides support for utilizing the DeLone and McLean model at the organizational level of analysis as a tool to help researchers and practitioners understand the different dimensions of IS Success and how they affect each other. Third it provides practitioners, web development instructors, and web developers with real objective website feature groups that directly affect organizational sales

The influence of organizational and information systems factors on the effectiveness of post-merger technology integration

This dissertation explores how ten specific organizational and information systems factors influence post-merger IS integration success, and the role that degree of IS integration plays in moderating the influence these factors may have on IS integration success. Data were gathered, using a self-administered survey instrument, from senior IS executives at firms that experienced a U.S. public merger greater than $25 million between 2004 and 2007. Support is found for the study\u27s Conceptual Model, indicating that all ten factors in unison influence post-merger IS integration success. The data support the hypotheses that quality of merger planning, quality of communication of merger activities to IS, quality of IS integration planning, degree of end-user involvement in IS integration activities, and quality of technical support to users during the IS integration each have a significant influence on post-merger IS integration success. The data also support the moderating effect of degree of IS integration on the relationship between post-merger IS integration success and executive (non-IS) management support. In a supplemental path model analysis, a complex relationship is hypothesized to exist between the factors and IS Capability and IS Performance, the two IS integration success measures, As a result, four of the five remaining hypotheses are indirectly supported. This research expands the body of knowledge that identifies sources of IS integration performance, thus helping to explain sources of overall merger performance

New Perspectives on the System Usage Construct

Information systems are designed to support human and organizational purposes. To achieve their ends, information systems must be used. Although this may seem to be self-evident, there are many aspects of systems usage that are not so, and yet, in spite of this, there has been little intense conceptual scrutiny of this construct in past research. The objective of this thesis, therefore, is to develop new in-depth perspectives for studying system usage. Drawing on critical realist assumptions and studies of research diversity, I explain how epistemological factors enable while ontological factors constrain the diversity of meanings of system usage, and I build on this reasoning to advance a systematic approach for conceptualizing and measuring system usage in an appropriate way for a given research context. To demonstrate the approach and judge its usefulness, I carry out three empirical studies to test whether measures of system usage that are selected according to the proposed approach provide more explanatory power and lead to more coherent results in specific research contexts than other measures of system usage. Exploring the relationship between system usage and user task performance among 804 users of spreadsheet software, the experiments reveal support for the usefulness of the approach and demonstrate how it can enable researchers to conceptualize and measure system usage in an appropriate manner for a given research context. Together, the conceptual approach and empirical studies contribute by: (1) providing a systematic way to conceptualize and measure system usage for a given study context, (2) revealing rich new directions for research on the nature of system usage, its antecedents, and its consequences, and (3) suggesting a new approach for construct development and investigation in IS research

Business intelligence information systems success : a South African study.

Doctor of Philosophy in Information Systems and Technology. University of KwaZulu-Natal. Durban, 2016.Business Intelligence (BI) systems hold promise for improving organisational decision making in South Africa. Additionally, BI systems have become increasingly important over the past few decades and are one of the top spending priority areas of most organisations. Yet till now, the factors influencing the success of BI systems in South Africa have not been fully investigated. The study found no scholarly research for managers and other practitioners to assess post implementation success of BI systems in South Africa. This lack of research may directly affect managers’ not knowing how best to implement BI systems and could thereby delay the successful implementation of BI systems in South African organisations. The study extends that of DeLone and McLean (2003), conducted in developed economies by applying it to a developing economy context, namely South Africa. The DeLone and McLean (2003) model has been widely utilised to study factors that influence information systems (IS) success. This study extends the DeLone and McLean (2003) by adding a user quality factor and suggests a theoretical model consisting of six factors, which are: (1) system quality, (2) service quality, (3) information quality, (4) user satisfaction, (5) individual impact, (6) and user quality. The theoretical model was formulated from the literature review. It was then validated and enhanced through a qualitative study of three interviews with end users of BI systems based in South Africa. The theoretical model was then presented to a panel of experts for verification. A questionnaire survey method was employed as the main method to collect data and to answer the main research question. Statistical analysis methods and Structural Equation Modelling (SEM) with SPSS was used to analyse the data. The results of the hypotheses were mixed. Three suggested that relationships were statistically significant, while the other four did not. The study finds that information quality is significantly and positively related to user satisfaction in a BI system. The results also indicate that user quality is positively related to user satisfaction in a BI system and system quality is positively related to individual impact in a BI system. The results have both managerial and research implications. The results of this study will add value to IS and specifically BI literature. Organisations, which have adopted BI or are planning to adopt BI, can use the important variables of the study to undertake an internal check to find out how they compare in terms of these variables. The unique contribution of this study is the identification of post implementation success factors of BI systems in a South African context. The factors identified also served in providing a set of management guidelines for the BI environment in South Africa

The development of a single strategy for the integration of quantitative and qualitative data types for the production of decision support systems

The research described in this thesis expresses the importance of quantitative and qualitative data types and how these can be incorporated and combined to produce an agricultural management decision support system (DSS). Researchers cannot solely depend on numerical data and relationships when designing, modelling and producing decision management tools. The relevance of the social sciences and peoples interpretations of these tools is equally important. The DSS described here focuses on the management of rainwater harvesting (RWH) in Tanzania. Numerical data related to natural resources (water and nutrients) and yields of rice and maize have been collected for the production of the DSS. With regard to the social science factors, the DSS tackles the concept of common pool resources (CPR) of water and nutrients. The importance of CPR is well understood, however their inclusion in the production of models is a relatively new concept. Criteria related to social status is linked with the by laws that govern the allocation of natural resources in Tanzania to help derive a numerical method for including CPR within the DSS. The production of the DSS is a novel way of combining this research into a tool that aims to benefit all socio-economic community groups. During the production of the DSS, a single generic approach for the inclusion of quantitative and qualitative information has developed. Particular focus was on the development of a model base (programming and mathematical relationship building), database (storage of the data used for the relationships) and a dialog system (the user-interface and communication strategy). This method is termed the ‘dialog, data, and models (DDM)’ paradigm (Sprague and Carlson, 1982). From this research, a DSS has been produced that aims to optimise RWH management in Tanzania with the aim of alleviating poverty and enhancing sustainable agriculture for all community members. Also an overall strategy for the production of DSSs has been produced. It illustrates how both quantitative (numerical and physical data) and qualitative (socio-economic considerations) can be utilised individually and in combination for the production of DSSs and can be extrapolated for further research and to new areas