Hasil untuk "Management information systems"

Youngjin Yoo, O. Henfridsson, K. Lyytinen

R. Mason, I. Mitroff

Miguel P Caldas

Este livro-texto e referencia importante no universo norte-americano em disciplinas basicas de sistemas de informacao, especialmente em MBAs. Nesta edicao, alem dos temas esperados, como uso de tecnologia para mudanca, tomada de decisao e seguranca de informacoes, enfoca-se especialmente a internet e o comercio eletronico. Se o docente procurar uma unica referencia para ensinar Tecnologia de Informacao em graduacao e pos-graduacao, este volume e forte candidato.

Dennis M. Steininger

More than 50 years ago, information technology (IT) began to change society, the economy, and industries worldwide. This change has included waves of technological disruption that have been exploited by entrepreneurial actors who seize the associated new opportunities. Research on related phenomena is spread across different disciplines. Recently, there have been calls for further research on the marriage of information systems (IS) and entrepreneurship. We review 292 articles in the IS, entrepreneurship, and general and strategic management literature to create an overview of the IT‐associated entrepreneurship research landscape. On the basis of that review, we elaborate on the different roles that IT can assume to support entrepreneurial operations and value creation in these settings. Our findings suggest that IT plays four major roles in entrepreneurial operations: as a facilitator, making the operations of start‐ups easier; as a mediator for new ventures' operations; as an outcome of entrepreneurial operations; and as a ubiquity, becoming the business model itself. Leveraging these roles of IT, we develop a set of definitions to clear up definition uncertainties surrounding IT‐associated new ventures such as digital start‐ups and digital business models. We also outline a research agenda for IT‐associated entrepreneurship research based on identified roles, types, and gaps.

Aqil al hasoon, Seyed Abbas Hashemi, Narges Hamidian

The financing policies implemented by managers play a pivotal role in risk management and shareholder wealth creation. Consequently, identifying the factors that influence managerial financing decisions is critically important. This study examines the impact of managerial ability on short-term debt usage, incorporating the moderating effects of financial constraints and financial reporting quality. The sample includes 100 firms listed on the Tehran Stock Exchange, selected through systematic elimination for the period 2012–2023. A multivariate regression model based on panel data analysis was employed to test the hypotheses. The findings demonstrate that managerial ability has a positive effect on debt maturity. Additionally, while financial constraints do not significantly moderate this relationship, financial reporting quality strengthens the influence of managerial ability on short-term debt utilization. Specifically, high-ability managers—equipped with superior business acumen and strong incentives to signal their competence—tend to employ greater short-term debt to mitigate information asymmetry and enhance their reputational capital.Keywords: Debt Structure, Managers' Ability, Financial Constraints, Financial Reporting QualityJEL Classification: M40, H63, D04, M41 IntroductionDebt financing is a fundamental component of corporate capital structure, playing a crucial role in firm sustainability and growth. The composition of debt—particularly its maturity structure—serves as a key determinant of financial stability and long-term success. Consequently, decisions regarding debt structure are critical, as misjudgments can expose firms to financial distress or even bankruptcy. Prior research has examined various determinants of debt maturity structure, including macroeconomic and institutional factors such as financial and political environments, legal and tax systems, information asymmetry, and capital provider characteristics. Another stream of literature focuses on firm-specific influences, particularly managerial traits, given their significance in mitigating agency conflicts between shareholders and managers. Among these traits, managerial ability stands out as a pivotal factor shaping debt maturity decisions. Aligned with theoretical foundations, this study proposes the following hypotheses:H₁: Managerial ability positively influences debt maturity.H₂: Financial constraints attenuate the effect of managerial ability on debt maturity.H₃: Financial reporting quality amplifies the impact of managerial ability on debt maturity.Materials & Methods and dataThe study examines firms listed on the Tehran Stock Exchange (TSE) over the period 2012–2023. The sample was selected through systematic elimination to ensure data integrity and representativeness. To test the hypotheses, we employed panel regression analysis using the Generalized Least Squares (GLS) estimator, which accounts for heteroskedasticity and autocorrelation in the data. Managerial ability was operationalized following Demerjian et al. (2012), while financial reporting quality was measured using the Dechow and Dichev (2002) accruals quality model. FindingThe empirical results demonstrate several key insights. As presented in Table 2, managerial ability exhibits a statistically significant positive relationship with firms' utilization of short-term debt. This finding aligns with theoretical expectations, as short-term debt instruments can serve as effective mechanisms to mitigate information asymmetry between managers and investors. Moreover, the preferential use of short-term debt may function as a positive market signal, conveying managers' confidence in the firm's near-term financial prospects. Table 3 reveals that financial constraints do not significantly moderate the relationship between managerial ability and debt maturity structure. This suggests that capable managers maintain their influence over financing decisions regardless of external financial limitations. Finally, Table 4 presents evidence that financial reporting quality strengthens the positive association between managerial ability and short-term debt usage. This amplification effect likely occurs because high-quality financial reporting enhances transparency, thereby increasing the credibility of managers' financing decisions. Discussion and ConclusionCorporate financing decisions are predominantly shaped by managerial discretion, with short-term debt instruments gaining increasing prominence over the past three decades. Our findings align with signaling theory, which posits that short-term debt issuance serves dual purposes: it reduces information asymmetry while simultaneously functioning as a positive market signal of managerial competence. Conversely, agency theory would predict an inverse relationship, suggesting that higher managerial ability might correlate with reduced short-term debt due to inherent agency conflicts in firms where managerial capabilities are less observable. The empirical evidence supports the signaling perspective, demonstrating that high-ability managers strategically utilize short-term debt to distinguish themselves from their less competent counterparts. This behavior stems from their superior capacity to assess market conditions and capitalize on favorable financing opportunities. Furthermore, our analysis reveals that managerial ability plays a particularly significant role in firms with higher reporting quality. In such organizations, which typically possess more robust project portfolios, short-term debt issuance serves as an additional quality indicator. High-ability managers in these firms are more inclined to employ short-term debt instruments, thereby reinforcing their reputation for financial acumen and strengthening market confidence. These findings contribute to the ongoing theoretical discourse by reconciling competing perspectives from signaling and agency theories. They also offer practical implications for corporate governance, suggesting that boards should consider managerial ability as a key factor in financing policy decisions, particularly in firms with transparent financial reporting environments.

Andika Fadilla Siagian, Suendri Suendri

Retail businesses, particularly hardware stores, often encounter challenges in order management such as delayed deliveries, inaccurate stock tracking, and limited information transparency factors that hinder operational efficiency and customer satisfaction. This study proposes a web-based order management system utilizing Progressive Web Apps (PWA) technology, developed with the Next.js framework. The Periodic Review System (PRS) method is implemented to calculate reorder points based on actual demand and safety stock levels. System development follows the Waterfall model, with data collected through observation, semi-structured interviews, and literature review. Testing confirms that the application enhances stock accuracy, minimizes delivery delays, supports offline access, and meets SEO performance standards. The implementation significantly improves operational efficiency and holds promise for boosting customer loyalty. The study concludes that PWA-based digital systems are practical, scalable solutions for the MSME sector, with future potential for integration of AI, CRM, and real-time analytics.

P. Ein-Dor, E. Segev

M. Culnan

Pär J. Ågerfalk, Kieran Conboy, M. D. Myers

This issue of the European Journal of Information Systems (EJIS) is a special issue on Business Process Management and Digital Innovation. Guest editors Jan Mendling, Brian Pentland, and Jan Recker...

E. Swanson

Melissa Medich, Shay L Cannedy, Lauren C Hoffmann et al.

BackgroundEarly intervention in mental health crises can prevent negative outcomes. A promising new direction is remote mental health monitoring using smartphone technology to passively collect data from individuals to rapidly detect the worsening of serious mental illness (SMI). This technology may benefit patients with SMI, but little is known about health IT acceptability among this population or their mental health clinicians. ObjectiveWe used the Health Information Technology Acceptability Model to analyze the acceptability and usability of passive mobile monitoring and self-tracking among patients with serious mental illness and their mental health clinicians. MethodsData collection took place between December 2020 and June 2021 in 1 Veterans Administration health care system. Interviews with mental health clinicians (n=16) assessed the acceptability of mobile sensing, its usefulness as a tool to improve clinical assessment and care, and recommendations for program refinements. Focus groups with patients with SMI (n=3 groups) and individual usability tests (n=8) elucidated patient attitudes about engaging in health IT and perceptions of its usefulness as a tool for self-tracking and improving mental health assessments. ResultsClinicians discussed the utility of web-based data dashboards to monitor patients with SMI health behaviors and receiving alerts about their worsening health. Potential benefits included improving clinical care, capturing behaviors patients do not self-report, watching trends, and receiving alerts. Clinicians’ concerns included increased workloads tied to dashboard data review, lack of experience using health IT in clinical care, and how SMI patients’ associated paranoia and financial instability would impact patient uptake. Despite concerns, all mental health clinicians stated that they would recommend it. Almost all patients with SMI were receptive to using smartphone dashboards for self-monitoring and having behavioral change alerts sent to their mental health clinicians. They found the mobile app easy to navigate and dashboards easy to find and understand. Patient concerns centered on privacy and “government tracking,” and their phone’s battery life and data plans. Despite concerns, most reported that they would use it. ConclusionsMany people with SMI would like to have mobile informatics tools that can support their illness and recovery. Similar to other populations (eg, older adults, people experiencing homelessness) this population presents challenges to adoption and implementation. Health care organizations will need to provide resources to address these and support successful illness management. Clinicians are supportive of technological approaches, with adapting informatics data into their workflow as the primary challenge. Despite clear challenges, technological developments are increasingly designed to be acceptable to patients. The research development–clinical deployment gap must be addressed by health care systems, similar to computerized cognitive training. It will ensure clinicians operate at the top of their skill set and are not overwhelmed by administrative tasks, data summarization, or reviewing data that do not indicate a need for intervention. International Registered Report Identifier (IRRID)RR2-10.2196/39010

Alicia Martin-Navarro, Maria Paula Lechuga Sancho, Jose Aurelio Medina-Garrido

Business Process Management Systems (BPMS) represent a technology that automates business processes, connecting users to their tasks. There are many business processes within the port activity that can be improved through the use of more efficient technologies and BPMS in particular, which can help to coordinate and automate critical processes such as cargo manifests, customs declaration the management of scales, or dangerous goods, traditionally supported by EDI technologies. These technologies could be integrated with BPMS, modernizing port logistics management. The aim of this work is to demonstrate, through a systematic analysis of the literature, the state of the art in BPMS research in the port industry. For this, a systematic review of the literature of the last ten years was carried out. The works generated by the search were subsequently analysed and filtered. After the investigation, it is discovered that the relationship between BPMS and the port sector is practically non-existent which represents an important gap to be covered and a future line of research.

Alex Nathan, Dimosthenis Kaponis, Saul Lustgarten

This paper addresses the issue of blockchain protocol risks, a foundational category of risks affecting Distributed Ledger Technology (DLT) which underpins digital assets, smart contracts, and decentralised applications. It presents a comprehensive risk management framework developed in collaboration with financial institutions, blockchain development teams and regulators that applies a traditional risk management taxonomy to address certain overlooked blockchain protocol risks. The approach offers a structured way to identify, measure, monitor and report blockchain protocol risks. The paper provides real-world use cases to demonstrate the practicality and implementation of the proposed framework. The findings of this work contribute to the evolving understanding of blockchain protocol risks and provide valuable insights on how these risks affect the adoption of DLT by financial institutions.

Stephen Haag, D. McCubbrey, Maeve Cummings

B. Ives, S. Hamilton, G. Davis

Asma ul Husna, Shamshad Ahmad

With the development of knowledge as economy, knowledge become the asset for the organizations. In this context, it is very essential organizational strategy to cop up with environmental changes. order to survive and compete effectively in the global environment. Research purpose of the study is to examine the relationship between knowledge management and job satisfaction among the university librarians of the Punjab, Pakistan. For data collection process survey research method was used. On the basis of literature review, a questionnaire was designed for data collection. The analyzed data showed a good relationship of the research main constructs between satisfaction of librarians’ jobs and different aspects of knowledge management. It was evaluated that there was a good relation of knowledge acquisition and knowledge sharing with job satisfaction. There is positive impact of knowledge management process on an organization and help improve efficiency and effectiveness. Beside this, job satisfaction is a important aspect for organizational success. It plays a significant role in achieving the organizational goals. The study concluded that both job satisfaction and KM draw a significant task in increasing the services availability, efficiency, effectiveness, productivity and performance of the professionals. Academic libraries and other organizations can use the findings of this study to improve their practices. This might help to increase innovation, productivity, opportunity and competitive advantages.

Gergő Bendegúz Békési, Lilla Barancsuk, István Táczi et al.

Distribution system state estimation (DSSE) is a valuable step for DSOs toward tackling the challenges of transitioning to a more sustainable energy system and the evolution and proliferation of electric cars and power electronic devices. However, on the LV level, implementation has only taken place in a few pilot projects. In this paper, an LV DSSE method is presented and implemented in four real Hungarian LV supply areas, according to well-defined scenarios. Pseudo-measurement datasets are generated from AACs and SLPs, which have been used in different combinations on networks built with different accuracies in terms of load placement. The paper focuses on the critical aspects of finding accurate and coherent information on network topology with automated management of information systems, real LV network implementation for power flow calculation and managing portions of the network characterized by uncertain or inconsistent line lengths. A refining algorithm is implemented for the integrated network information system (INIS) models. The published method estimates node voltages with a relative error of less than 1% when using AACs, and a meter-placement method to reduce the maximum value of relative errors in future scenarios is also presented. It is shown that the observation of node voltages can be improved with the usage of AACs and SLPs, and with optimal meter placement.

Juan Marcelo Ibujés-Villacís, Antonio Franco-Crespo

A permanent challenge for business organizations is to transform, adapt to the environment and innovate, so knowing the factors that influence the ability to innovate is relevant information. In this sense, the objective of this article is to determine and conceptualize the decisive factors that interact in a systemic way in the management of innovation in the manufacturing industry. The research has a qualitative approach, with a descriptive and transversal scope. In the first place, a review of the literature was carried out that allowed delimiting the management of innovation in the company in three main categories. Second, the categories were characterized, and subcategories and properties were identified, taking the manufacturing companies of Pichincha, Ecuador as the subject of study. This characterization was carried out through a qualitative study that takes the Grounded Theory as a reference, using research techniques: questionnaires, interviews, and documentary research. The results reveal that the relevant factors for the management of innovation in the company can be grouped into three main categories: knowledge management (KM), innovation capabilities (IC) and financial performance (FP). The subcategories that explain KM are policies and strategies, organizational structure, technology, people, incentive systems, organizational culture, and communication. The subcategories that explain IC are research and development capacity, management capacity, resource availability, human talent management, staff skills and technological capacity. The subcategories that explain the FP are sales and costs. This research contributes to the field of innovation management with new information and theory for action and emphasizes the systemic vision of innovation management and the key factors for the development of innovations in the Ecuadorian industrial sector, with the purpose of strengthening the theoretical and empirical advances of innovation management in the company.

Helena Dudycz, Marcin Hernes, Zdzislaw Kes et al.

The utilization of management control systems in university management poses a considerable challenge because university's strategic goals are not identical to those applied in profit-oriented management. A university's management control system should take into account the processing of management information for management purposes, allowing for the relationships between different groups of stakeholders. The specificity of the university operation assumes conducting long-term scientific research and educational programmes. Therefore, the controlling approach to university management should considerat long-term performance measurement as well as management in key areas such as research, provision of education to students, and interaction with the tertiary institution's socioeconomic environment.This paper aims to develop a conceptual framework of the Intelligent Management Control System for Higher Education (IMCSHE) based on cognitive agents. The main findings are related to developing the assumption, model, and technological basis including the artificial intelligence method.

Frank Nielsen, Kazuki Okamura

We study various information-theoretic measures and the information geometry of the Poincaré distributions and the related hyperboloid distributions, and prove that their statistical mixture models are universal density estimators of smooth densities in hyperbolic spaces. The Poincaré and the hyperboloid distributions are two types of hyperbolic probability distributions defined using different models of hyperbolic geometry. Namely, the Poincaré distributions form a triparametric bivariate exponential family whose sample space is the hyperbolic Poincaré upper-half plane and natural parameter space is the open 3D convex cone of two-by-two positive-definite matrices. The family of hyperboloid distributions form another exponential family which has sample space the forward sheet of the two-sheeted unit hyperboloid modeling hyperbolic geometry. In the first part, we prove that all $f$-divergences between Poincaré distributions can be expressed using three canonical terms using Eaton's framework of maximal group invariance. We also show that the $f$-divergences between any two Poincaré distributions are asymmetric except when those distributions belong to a same leaf of a particular foliation of the parameter space. We report closed-form formula for the Fisher information matrix, the Shannon's differential entropy and the Kullback-Leibler divergence. and Bhattacharyya distances between such distributions using the framework of exponential families. In the second part, we state the corresponding results for the exponential family of hyperboloid distributions by highlighting a parameter correspondence between the Poincaré and the hyperboloid distributions. Finally, we describe a random generator to draw variates and present two Monte Carlo methods to stochastically estimate numerically $f$-divergences between hyperbolic distributions.