A maturity model for the information-driven SME

Purpose: This article presents a maturity model for the evaluation of the information-driven decision-making process (DMP) in small and medium enterprises. This model is called “Simplified Holistic Approach to DMP Evaluation (SHADE)”. The SHADE model is based in the “Circumplex Hierarchical Representation of the Organization Maturity Assessment” (CHROMA) framework for characterizing the information-driven DMP in organizations Design/methodology/approach: The CHROMA-SHADE provides a competency evaluation methodology regarding the SME’s use of data for making better-informed decisions. This model groups the main factors influencing the information-driven DMP and classifies them into five dimensions: data availability, data quality, data analysis and insights, information use and decision-making. It addresses these dimensions systematically, delivering a framework for positioning the organization from an uninitiated to a completely embedded stage. The assessment consists of interviews based on a standardized open-ended questionnaire performed to key company personnel followed by an analysis of the answers and their scoring performed by an expert evaluator. Findings: The results of its application indicate this model is well adapted to the SMEs resulting useful for identifying strengths and weaknesses, thereby providing insights for prioritizing improvement actions. Originality/value: The CHROMA-SHADE model follows a novel, holistic approach that embraces the complexities inherent in a multiplicity of factors that, at the technological and management level, converge to enable more objective and better-supported decisions to be made through the intelligent use of information.Peer Reviewe

Chronological evolution of the information-driven decision-making process (1950–2020)

The version of record os available online at:https://doi.org/10.1007/s13132-022-00917-yThe decision-making process (DMP) is essential in organizations and has changed due to multidisciplinary research, greatly infuenced by the progress in information technologies and computational science. This work’s objective is analysing the progressive interaction between DMP and information technologies and the consequent breakthroughs in how business is conducted since 1950 to recent times. Therefore, a chronological review of the information-driven DMP evolvement is presented. The major landmarks that defned how technology infuenced how information is generated, stored, managed, and used for making better decisions, minimizing the uncertainty and gaining knowledge, are covered. The fndings showed that even if current data-driven trends in managerial decision making have led to competitive advantages and business opportunities, there is still a gap between the technological capabilities and the organizational needs. Nowadays, it has been reported that the adoption of technology solutions in many companies is faster than their capacity to adapt at managerial level. Aware of this reality, the “Circumplex Hierarchical Representation of Organization Maturity Assessment” (CHROMA) model has been developed. This tool makes it possible to evaluate whether the management of organizations is making decisions using the available data correctly and optimizing their information systems.Peer ReviewedPostprint (published version

Maturity model for the information-driven SME

Purpose: This article presents a maturity model for the evaluation of the information-driven decision-making process (DMP) in small and medium enterprises. This model is called “Simplified Holistic Approach to DMP Evaluation (SHADE)”. The SHADE model is based in the “Circumplex Hierarchical Representation of the Organization Maturity Assessment” (CHROMA) framework for characterizing the information-driven DMP in organizations Design/methodology/approach: The CHROMA-SHADE provides a competency evaluation methodology regarding the SME’s use of data for making better-informed decisions. This model groups the main factors influencing the information-driven DMP and classifies them into five dimensions: data availability, data quality, data analysis and insights, information use and decision-making. It addresses these dimensions systematically, delivering a framework for positioning the organization from an uninitiated to a completely embedded stage. The assessment consists of interviews based on a standardized open-ended questionnaire performed to key company personnel followed by an analysis of the answers and their scoring performed by an expert evaluator. Findings: The results of its application indicate this model is well adapted to the SMEs resulting useful for identifying strengths and weaknesses, thereby providing insights for prioritizing improvement actions. Originality/value: The CHROMA-SHADE model follows a novel, holistic approach that embraces the complexities inherent in a multiplicity of factors that, at the technological and management level, converge to enable more objective and better-supported decisions to be made through the intelligent use of informatio

A Model for Data Governance – Organising Accountabilities for Data Quality Management

Enterprises need data quality management (DQM) that combines business-driven and technical perspectives to respond to strategic and operational challenges that demand high-quality corporate data. Hitherto, companies have assigned accountabilities for DQM mostly to IT departments. They have thereby ignored the organisational issues that are critical to the success of DQM. With data governance, however, companies implement corporate-wide accountabilities for DQM that encompass professionals from business and IT. This paper outlines a data governance model comprised of three components. Data quality roles, decision areas and responsibilities build a matrix, comparable to a RACI chart. The data governance model documents the data quality roles and their type of interaction with DQM activities. Companies can structure their company-specific data governance model based on these findings

The Impact of Technology on the Strategic Management of a Knowledge-Intensive Project Organization: Action Design Research of a Competence Management System

The combination of digitalization and globalization will have a dramatic impact on organizations and the way people work. Demographic upheavals and societal changes, as well as the inevitable focus on environmental issues, will amplify the effect of these trends. As a result, business executives around the world will face new challenges with business models on one hand and organizational practices on the other hand. There is now a great opportunity for information systems and human resources scientists and practitioners to work together in order to improve understanding of how technology can be utilized to make organizations more effective and inspiring. The “future of work” is already affecting strategic management, HR organizations, and technology in practice. As a result, this has created many exciting research opportunities, identified by scholars looking at human resource information systems, human resource management, enterprise systems, competence management systems, knowledge management, information management, agile software development, or design science. In this action design research I build on top of existing design science research on competence management systems and aim at 1) gaining more understanding about the organizational and technological aspects of enterprise systems design, especially regarding competence development, and 2) increasing understanding of the design of competence management as a strategic capability. In this action design research project we participated in the design, development, and evaluation of a particular organizational instantiation and a management system instantiation that both address important, previously unsolved problems. This study contributes to the existing body of scientific knowledge on information systems. The theoretical contribution is the improved design principles for competence management systems. The practical contribution of the study builds upon the guidance provided to system designers and managers through several frameworks, IT artifacts, and management practices for information systems design processes. In conclusion, this research provides new evidence of how action design research can lead to significant business benefits by integrating theory and practice in a real business context

Organizing Data Governance: Findings from the Telecommunications Industry and Consequences for Large Service Providers

Many companies see Data Governance as a promising approach to ensuring data quality and maintaining its value as a company asset. While the practitioners’ community has been vigorously discussing the topic for quite some time, Data Governance as a field of scientific study is still in its infancy. This article reports on the findings of a case study on the organization of Data Governance in two large telecommunications companies, namely BT and Deutsche Telekom. The article proposes that large, service-providing companies in general have a number of options when designing Data Governance and that the individual organizational design is context-contingent. Despite their many similarities, BT and Deutsche Telekom differ with regard to their Data Governance organization. BT has followed a more project-driven, bottom-up philosophy; Deutsche Telekom, on the other hand, favors a rather constitutive, top-down approach. The article also proposes a research agenda for further studies in the field of Data Governance organization

CHROMA model for the information-driven decision-making process

The strong, progressive interaction between decision-making processes (DMP) and information technologies has led to breakthroughs in how business is conducted. These developments represent the advent of significant trends for data-driven DMP in terms of increased competitive advantages and business opportunities. However, there is still a gap between technological capabilities and organizational needs due to the fact that the adoption of technology solutions in many companies is faster than their capacity to adapt at the managerial level. Balancing this situation implies a process of self-recognition in which aspects that need to be addressed for the application of better analytical practices must be highlighted. Such evaluation is necessary to embrace more rigorously the use of data and analytics insights within organizations attempting to become information-driven companies. This thesis presents an evaluation methodology that is based on the foundations of maturity models and provides a framework for assessing and ranking the level of organizations' proficiency regarding their information-driven DMP. In this vein, the “Circumplex Hierarchical Representation of Organization Maturity Assessment” (CHROMA) model and its variant, “Simplified Holistic Approach to DMP Evaluation” (SHADE), which is applied to small and medium-sized enterprises (SMEs), provide a novel and holistic approach that embraces the most relevant aspects at the technological and management level to make more objective and better supported decisions. In this respect, the key factors that influence making better-informed decisions are grouped into 5 dimensions: data availability, data quality, data analysis & insights, information use, and decision-making. Both the CHROMA model with its 5X5X5 structure (5 dimensions subdivided into 5 attributes, each classifiable into 5 proficiency levels) and its SHADE variant with a 5X3X5 structure, were conceived to be applied in an organized and systematic way in accordance with this structure in order to characterize the organization’s use of information in DMPs from an uninitiated stage to a completely embedded one. In this sense, its application consists of a methodology that involves interviewing key company personnel plus a brief web questionnaire, and the subsequent evaluation of the dimensions and attributes of the model. Both models were tested in a field study campaign in six family-run SMEs, which were deployed in two blocks. In the first block, three SMEs were analyzed through the application of the CHROMA model. In the second block, the SHADE version of the CHROMA model was applied to the other three SMEs that collaborated with the study. This field study campaign was very significant in terms of reaching a deeper understanding of the extent to which organizations are supporting their decisions with information obtained from data analysis and their willingness to improve accordingly. The findings indicate that, overall, data quality problems are the biggest challenge facing organizations. Moreover, data analysis remains limited, reactive and timid, is mainly focused on senior management and middle managers, and is very scarce at operational levels. Despite this, the findings in the “decision-making” dimension demonstrate that these organizations have, to some extent, been able to leverage their available data to support their decisions. These results confirm that both models are useful for collecting relevant and firsthand information through a close and personalized treatment to consequently identify strengths and weaknesses of specific aspects, thus providing a broader view that leads companies to prioritize improvement actions that could have a meaningful impact on the success and growth of the organization.La fuerte y progresiva interacción existente entre el proceso de toma de decisiones (DMP) y las tecnologías de información (IT) ha conllevado a un gran avance que ha repercutido en la forma en que los negocios son conducidos. Estos avances han representado el advenimiento de tendencias significativas para el DMP impulsado por datos en términos de mayores ventajas competitivas y oportunidades de negocio. Sin embargo, existe aún una brecha entre las capacidades tecnológicas y las necesidades de la organización debido a que la adopción de soluciones tecnológicas conducidas por datos en muchas compañías es más rápida que su capacidad de adaptarse a nivel gerencial. Equilibrar este desbalance implica un proceso de auto-reconocimiento donde sean resaltados los aspectos que requieren ser atendidos para la aplicación de mejores prácticas analíticas. Tal evaluación es necesaria dentro de las organizaciones que intentan dar un uso más riguroso a sus datos y conocimientos analíticos para convertirse en compañías impulsadas por información. Esta tesis presenta una metodología de evaluación que basada en los fundamentos de los modelos de madurez proporciona un marco para evaluar y categorizar el nivel de competencia de las organizaciones en el DMP impulsado por información. En tal sentido, el modelo “Circumplex Hierarchical Representation of OrganizationMaturity Assessment” (CHROMA) y su variante “SimplifiedHolistic Approach to DMP Evaluation” (SHADE) para pequeñas y medianas empresas, ofrecen un enfoque novedoso y holístico que abarca los aspectos más relevantes a nivel tecnológico y de gestión para tomar decisiones más objetivas y mejor soportadas, en orden de hacer frente a esta situación. Al respecto, estos factores que influyen en la toma de decisiones mejor informada son agrupados en 5 dimensiones: disponibilidad de datos, calidad de datos, análisis de datos e insights, uso de la información y toma de decisiones. Tanto el modelo CHROMA con su estructura 5£5£5 (5 dimensiones subdivididas en 5 atributos clasificables en 5 niveles de aptitud) como su variante SHADE de estructura 5£3£5, fueron concebidos para ser aplicados de una forma estructurada y sistemática en concordancia con dicha estructura, en orden de caracterizar el uso de la información en el DMP de la organización desde una etapa no iniciada a una completamente embebida. En este orden de ideas, su aplicación consiste de una metodología que involucra realizar entrevistas a personal clave de la compañía más un breve cuestionario web, y la posterior evaluación de las dimensiones y atributos del modelo. Ambos modelos fueron probados en una campaña de estudios de campo en seis empresas familiares pymes, los cuales fueron desplegados en dos bloques. En el primer bloque, fueron analizadas tres pymes a través de la aplicación del modelo CHROMA. En el segundo bloque, se procedió a aplicar el modelo SHADE de CHROMA a las otras tres pymes que colaboraron con el estudio. Esta campaña de estudios de campo resultó muy significativa en términos de alcanzar una comprensión más profunda del grado en el cual las organizaciones están tomando decisiones impulsadas en la información resultante del análisis de datos y su disposición a mejorar en consecuencia. Los hallazgos señalan que, en términos generales, los problemas de calidad de datos constituyen el mayor desafío al que se enfrentan las organizaciones. Asimismo, el análisis de datos continúa siendo limitado, reactivo y poco audaz, principalmente concentrado en la alta gerencia y mandos intermedios, siendo muy escaso a niveles operativos. A pesar de esto, los hallazgos en la dimensión “toma de decisiones” demuestran que estas organizaciones, en cierta medida, han logrado aprovechar sus datos disponibles para soportar sus decisiones. Los resultados confirman que ambos modelos son útiles para recolectar información relevante y de primera mano a través de un trato cercano y personalizado para consecuentemente identificar fortalezas y debilidades de aspectos específicos, proporcionando así una visión más amplia que conduzca a las compañías a priorizar acciones de mejora, que podrían significar el éxito y crecimiento de la organización

Hubungan di antara tanggapan gaya kepimpinan, budaya organisasi dan pelaksanaan TQM di agensi kerajaan Negeri Pahang

Due to the importance of quality in delivering services to the people through the services provided by government agencies, organizations need to carry out activities to ensure that the quality of the service provided meets the quality required by the customers. The function of good leadership practices and the culture of the organization can also help and support quality activities to be implemented successfully within the organization. Therefore, this study aimed to investigate factors that affect the implementation of Total Quality Management (TQM) in the government agencies in Pahang. Specifically the objective of this study is to determine whether significant relationship exists between perceived leadership styles and TQM implementation. The study also aimed to determine the mediating effect of organizational culture on the relationship between perceived leadership styles and TQM implementation. The quantitative survey method was used to collect the data. Staff of the Pahang State government agencies were chosen as the sample for this study. A disproportionate stratified random sampling procedure was used to select the respondents. A total of 1,500 survey questionnaires were distributed and only 325 were returned, giving a response rate of 21.67 percent but only 277 could be used for further analysis. The findings indicated that significant relationship exists between the three variables (perceived transformational leadership style, perceived transactional leadership style and organizational culture) and TQM implementation. The study also found that organizational culture partially mediates the relationship between perceived transformational leadership style and TQM implementation and fully mediates the relationship between perceived transactional leadership style and TQM implementation. The study concluded with a discussion of the theoretical and managerial implications, and suggestions for future research

Factors and perspectives influencing accountability and the sustainability of data quality improvements in higher education.

MBA University of KwaZulu-Natal, Durban 2013.Worldwide, organisational management is increasingly confronted by the need for data quality to make informed decisions. It has been reported that a significant percentage of turnover is lost due to bad data. The higher education sector also requires quality data in order to keep up with the pace of change in this sector. It is against this background that this study investigates the factors and perspectives influencing accountability and the sustainability of data quality improvements at the University of KwaZulu-Natal (UKZN). The study used a questionnaire to elicit responses from approximately 120 information system users (IS-Users) at the University on their perspectives of data quality awareness, quality practices, and the cost, accountability and sustainability of data quality improvement in order to support the implementation of the data quality initiative recently launched at UKZN. The sample was selected from a population of primary information system users. Data collection took place over two months, with a response rate of 50%. The findings and recommendations of the study revealed different opinions on various issues from the perspective of the three groups of IS-User constituents that were surveyed. The findings include significant and moderate issues relating to the lack of training, skills and leadership; work-around time problems arising from uncertainty with regard to who owns data at the Institution; and the need for stronger leadership and skills in the area of data quality. The recommendations range from investment in training, to the implementation of performance management to support current data quality activity, service level agreements to enhance data quality from third party suppliers, incentives to reward work that enhances data quality, feedback mechanisms such as metrics or a data quality monitor to report on the condition of data quality in real time and promoting data ownership in order to enhance organisational agility to reduce the work-around or run around time of IS-users

Management of data quality when integrating data with known provenance

Abstract unavailable please refer to PD