Se presentan los resultados de investigacion asociada a una metodologia de gestion empresarial denominada SIGET PROS, y que se enfoca en el diagnostico del estado de las MIPYMES (Micro, Pequenas y ...Medianas Empresas) mediante la definicion de "escenarios", segun la estrategia corporativa, para posteriormente recomendar las acciones necesarias para potencializar su crecimiento. El desarrollo tecnologico realizado utilizo la metodologia agil Scrum, con roles y responsabilidades, para generar la solucion tecnologica que permite la gestion de datos en las organizaciones con herramientas que faciliten la digitalizacion de sus operaciones y brinden flexibilidad, al poder integrarse con otras fuentes de datos de forma natural o flexible, soportado por la cultura DevOps (Desarrollo y las Operaciones), tecnologias BI (Inteligencia Empresarial), tableros de desarrollo y adaptacion a plataformas virtuales. Palabras-clave: Big Data; Analitica; Sistema de Gestion Empresarial "SIGET PROS"; Tableros de Gestion; MIPYMES. The results of research associated with a business management methodology called SIGET PROS are presented, which focuses on diagnosing the state of MSMEs by defining "scenarios", according to corporate strategy, to later recommend the necessary actions to potentiate its growth. The technological development carried out used the agile Scrum methodology, with roles and responsibilities, to generate the technological solution that allows data management in organizations with tools that facilitate the digitization of their operations and provide flexibility, by being able to integrate with other data sources in a natural or flexible way, supported by the DevOps (Development and Operations) culture, BI (Business Intelligence) technologies, development boards and adaptation to virtual platforms. Keywords: Big Data; Analytics; Business Management System "SIGET PROS"; Management Dashboards; MSMEs.
Blockchain is a shared distributed digital ledger technology that can better facilitate data management, provenance and security, and has the potential to transform healthcare. Importantly, ...blockchain represents a data architecture, whose application goes far beyond Bitcoin - the cryptocurrency that relies on blockchain and has popularized the technology. In the health sector, blockchain is being aggressively explored by various stakeholders to optimize business processes, lower costs, improve patient outcomes, enhance compliance, and enable better use of healthcare-related data. However, critical in assessing whether blockchain can fulfill the hype of a technology characterized as 'revolutionary' and 'disruptive', is the need to ensure that blockchain design elements consider actual healthcare needs from the diverse perspectives of consumers, patients, providers, and regulators. In addition, answering the real needs of healthcare stakeholders, blockchain approaches must also be responsive to the unique challenges faced in healthcare compared to other sectors of the economy. In this sense, ensuring that a health blockchain is 'fit-for-purpose' is pivotal. This concept forms the basis for this article, where we share views from a multidisciplinary group of practitioners at the forefront of blockchain conceptualization, development, and deployment.
The performance measurement revolution started in the late 1970s with the dissatisfaction of traditional backward looking accounting systems. Since then the literature in this field is emerging. Most ...of the focus was on designing performance measurement system (PMS), with few studies illustrating the issues in implementing and using PMS. Although Management Information Systems (MIS) and change management are important enablers of PMS, their role is not very well understood. Hence the objective of this paper is to review literature on the role of MIS and change management throughout the lifecycle of performance measurement, i.e. design, implementation and use stages. This paper not only discusses the role of MIS and change management throughout PMS lifecycle but also discusses PMS in the context of emerging business environment such as globalization, servitization, and networking in the context of multi-cultural environment. Finally it identifies research challenges for PMS in the emerging business environment.
The purpose of this research is to explore the increase in efficiency and quality of management in optimizing the application of management information systems at MAN 1 Sungai Full. This research ...uses qualitative research, and data collection techniques through observation, interviews, and documentation. Data analysis techniques used are data reduction, data presentation, and data verification. The results of this study indicate that the management of optimizing the implementation of management information systems at MAN 1 Sungai Penuh collects data containing teacher and staff data to manage important information about teaching staff and staff registered at the school such as biodata, rank, position, address, working status, hours work history, educational history, career history, training history, attendance rate, salary info and others, management information systems related to student services in the form of New Student Admissions data, student biodata, Management of Student Class Promotion (manual or automatic), Graduation Management / Alumni, Printing Student Cards, and Management of Student Discipline, and information systems related to teaching and learning activities such as Information Systems containing Curriculum Management, Scheduling of Teaching Units, Management of Student Academic Grades and reports on Student Study results, and Student Presence in teaching and learning activities.
Purpose
The purpose of this paper is to review and extend recent simulation studies on discriminant validity measures, contrasting the use of cutoff values (i.e. heuristics) with inferential tests.
...Design/methodology/approach
Based on a simulation study, which considers different construct correlations, sample sizes, numbers of indicators and loading patterns, the authors assess each criterion’s sensitivity to type I and type II errors.
Findings
The findings of the simulation study provide further evidence for the robustness of the heterotrait–monotrait (HTMT) ratio of correlations criterion as an estimator of disattenuated (perfectly reliable) correlations between constructs, whose performance parallels that of the standard constrained PHI approach. Furthermore, the authors identify situations in which both methods fail and suggest an alternative criterion.
Originality/value
Addressing the limitations of prior simulation studies, the authors use both directional comparisons (i.e. heuristics) and inferential tests to facilitate the comparison of the HTMT and PHI methods. Furthermore, the simulation considers criteria that have not been assessed in prior research.
Purpose
Following the call for awareness of accepted reporting practices by Ringle, Sarstedt, and Straub in 2012, the purpose of this paper is to review and analyze the use of partial least squares ...structural equation modeling (PLS-SEM) in Industrial Management & Data Systems (IMDS) and extend MIS Quarterly (MISQ) applications to include the period 2012-2014.
Design/methodology/approach
Review of PLS-SEM applications in information systems (IS) studies published in IMDS and MISQ for the period 2010-2014 identifying a total of 57 articles reporting the use of or commenting on PLS-SEM.
Findings
The results indicate an increased maturity of the IS field in using PLS-SEM for model complexity and formative measures and not just small sample sizes and non-normal data.
Research limitations/implications
Findings demonstrate the continued use and acceptance of PLS-SEM as an accepted research method within IS. PLS-SEM is discussed as the preferred SEM method when the research objective is prediction.
Practical implications
This update on PLS-SEM use and recent developments will help authors to better understand and apply the method. Researchers are encouraged to engage in complete reporting procedures.
Originality/value
Applications of PLS-SEM for exploratory research and theory development are increasing. IS scholars should continue to exercise sound practice by reporting reasons for using PLS-SEM and recognizing its wider applicability for research. Recommended reporting guidelines following Ringle et al. (2012) and Gefen et al. (2011) are included. Several important methodological updates are included as well.
PurposePartial least squares structural equation modeling (PLS-SEM) has become popular in the information systems (IS) field for modeling structural relationships between latent variables as measured ...by manifest variables. However, while researchers using PLS-SEM routinely stress the causal-predictive nature of their analyses, the model evaluation assessment relies exclusively on criteria designed to assess the path model's explanatory power. To take full advantage of the purpose of causal prediction in PLS-SEM, it is imperative for researchers to comprehend the efficacy of various quality criteria, such as traditional PLS-SEM criteria, model fit, PLSpredict, cross-validated predictive ability test (CVPAT) and model selection criteria.Design/methodology/approachA systematic review was conducted to understand empirical studies employing the use of the causal prediction criteria available for PLS-SEM in the database of Industrial Management and Data Systems (IMDS) and Management Information Systems Quarterly (MISQ). Furthermore, this study discusses the details of each of the procedures for the causal prediction criteria available for PLS-SEM, as well as how these criteria should be interpreted. While the focus of the paper is on demystifying the role of causal prediction modeling in PLS-SEM, the overarching aim is to compare the performance of different quality criteria and to select the appropriate causal-predictive model from a cohort of competing models in the IS field.FindingsThe study found that the traditional PLS-SEM criteria (goodness of fit (GoF) by Tenenhaus, R2 and Q2) and model fit have difficulty determining the appropriate causal-predictive model. In contrast, PLSpredict, CVPAT and model selection criteria (i.e. Bayesian information criterion (BIC), BIC weight, Geweke–Meese criterion (GM), GM weight, HQ and HQC) were found to outperform the traditional criteria in determining the appropriate causal-predictive model, because these criteria provided both in-sample and out-of-sample predictions in PLS-SEM.Originality/valueThis research substantiates the use of the PLSpredict, CVPAT and the model selection criteria (i.e. BIC, BIC weight, GM, GM weight, HQ and HQC). It provides IS researchers and practitioners with the knowledge they need to properly assess, report on and interpret PLS-SEM results when the goal is only causal prediction, thereby contributing to safeguarding the goal of using PLS-SEM in IS studies.
Farm machinery management information system Fountas, S.; Sorensen, C.G.; Tsiropoulos, Z. ...
Computers and electronics in agriculture,
January 2015, 2015-01-00, 20150101, Volume:
110
Journal Article
Peer reviewed
Display omitted
•Outline concerns for the use of information generated and pertaining to the tractor and the farm implements.•Specify the pathways for the organization of data generated by the ...tractor ISOBUS protocol.•Facilitate further development of required sensors, communication technology, and information processing capabilities.
Management of farming operations is currently rapidly changing toward a systems perspective integrating the surroundings in terms of environmental impact, public entities and documentation of quality and growing conditions. The latest developments in Information and Communication Technologies (ICT) and the prevailing lack of interoperability between agricultural tractors, implements and on-board computers has led to the development of ISO 11783 (ISOBUS) international standard for securing a more effective communication between these entities. Precision agriculture requires an increasing amount of information in order to be sufficiently managed and the abilities of the ISOBUS protocol is a significant step toward this goal as it will provide a wealth of automated data acquisition for improving the management of crop production. However, there is an urgent need to organize and specify the pathways of this large amount of information as prerequisites for subsequently turning it into knowledge and decision support. The aim of this study was to analyze and design a future farm machinery management information system to handle tractor and implement data together with the interactions with their surroundings. Soft systems methodology was used to analyze the human activities and to identify user requirements in relation to the use of farm machinery and the management of the information generated and pertaining to the tractor and the farm implements. The empirical data to extract this information was gathered from 30 targeted interviews with tractor operators and farm managers located in Greece and Denmark, and pertaining to questions about the optimal use of farm machinery data and tractor-implement performance. A rich picture of the whole system was developed and from that a conceptual model that infers to daily operations with the tractor, implement and the interactions with the surroundings. The conceptual models were developed for both conventional farm machinery and agricultural robots. The conceptual model function will serve as a blueprint for further development of required sensors, communication technology, and information processing capabilities. The developed conceptual models were tested and validated with 15 farm managers from the initial reviewing panel in order to reveal supplemental additions and concerns.
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