Influencia de los sistemas de información en los resultados organizacionales

Over the last years, information systems (IS) have constituted the main focus of research in the business organization literature. This has created the need to identify their entrepreneurial value. The paper presents a theory-based model that was developed to assess the degree of IS success in SMEs. The aim of the proposed model is to determine the influence of IS on organizational performance. To achieve this aim, the Partial Least Square statistical technique is used to analyze data from 133 questionnaires administered to businesses across the state of Tamaulipas, Mexico. The results show that those enterprises that are more concerned with the improvement of the systems’ quality, information quality and the informatics service enhance the organizational outcomes. The present study contributes to the body of literature on the assessment of IS success in the context of an emerging country. In particular, the study provides a thorough assessment of the IS effectiveness and their impact on organizational performance.     

An organizational contingencies view of accounting and information systems implementation

Most research on accounting and information systems (A&IS) development and implementation has focused on the individual and small group level phenomena which impact implementation success. While some researchers have considered organizational level variables, no consistent relationships between these variables and A&IS implementation success have yet emerged. To a great extent, this is due to an atheoretical research approach coupled with an undifferentiated view of A&IS.This paper develops a typology of A&IS types based on the nature of the task supported by the system. Theory and the results of research in the organization design area are drawn upon to develop propositions about the differential impacts of eight organizational characteristics on the implementation of different A&IS types. These propositions form an organizational level framework for analyzing A&IS implementation. The propositions can serve as testable hypotheses for future research efforts.     

Development and validation of an improved DeLone-McLean IS success model - application to the evaluation of a tax administration ERP

Enterprise resource planning (ERP) is critical to an organization’s success. However, the factors that contribute to the success and usage of these ERP systems have received little attention. This study developed and validation of an improved DeLone-McLean IS success model. Additionally, we examined the factors which influence ERP system usage, employee satisfaction, information quality, service quality, and system quality, as well as the factors that influence the system’s overall success. The proposed model is based on a mixed-methods case study (MM-CS). The results show that the proposed model significantly measures the success of an ERP system. The organizational climate, the information quality, the system quality, and the service quality all have an impact on the usage of an ERP system. The proposed model also shows that the use of an ERP system, training and learning, and the three information (IS) quality constructs are all significant predictors of user satisfaction. The results also indicate that gender and years of ICT use on the path of ERP users have a moderating effect on the relationship between teamwork & support and use.     

Influence of information systems on organizational results

In recent years, information systems (IS) comprise one of the main fields of study in business organization, caused by the need to identify their business value. Therefore, in this research and based on a theoretical review, a model is developed for the evaluation of the success of the IS for small and medium enterprises (SME) to determine the influence of the IS in the organizational results. To reach this goal, the Partial Least Squares (PLS) statistical technique was used through a survey made to 133 companies of Tamaulipas state, Mexico. The results obtained allow deducing that the companies that pay more attention on improving the quality of the system, of the information, and of the information systems, favor their organizational results. This work contributes to the literature on the measurement of the success of the IS in the context of a country with an emerging economy, particularly by allowing to identify in a broader manner the measurement of its effectiveness and its incidence in the business performance.     

A further interpretation of the relational agency of information systems: A research note

This paper proposes a reinterpretation of the agency of information system (IS) as relational. It explores how the agency of IS has been articulated in the extant stream of accounting information system (AIS) research and explains how a relational view of agency can enhance our understanding of IS in its organizational context. This reinterpretation highlights the limitation of viewing IS as technology (technocentric view) with predefined functionality and predictable effects. Attention is also shifted away from an anthropocentric conceptualization of IS; where the technology is seen as a tool and agency is attributed only to humans. We argue in the paper that both the technocentric and anthropocentric views of IS limit what can be learned about the agency of IS. Drawing on actor-network theory (ANT), this study conceptualizes IS as a relational network and proposes a relational view of the agency of IS. This relational view suggests that the social and material entities that make up IS have no absolute essence when viewed in isolation; rather, their collective force defines the agency of IS. The implications of the relational view of agency for AIS research are also highlighted.     

On the consistent specification of asset markets in macroeconomic models

The standard IS LM model has been criticized in recent years for an alleged neglect of portfolio balance and government financing constraints. Examination of the structure of the bond market implicit in a simple IS LM model shows that these criticisms are misdirected. We find that portfolio adding-up restrictions do not provide additional comparative static information in an IS LM context and may be harmful if imposed on the model. In addition, the IS LM framework is seen to be complete and logically consistent even in the absence of explicit financing constraints.     

Corporate foresight and innovation management: A portfolio-approach in evaluating organizational development

The transition from a traditional industry-driven economy to a knowledge-based economy requires new concepts and methods for companies to sustain competitive advantage. Here, academia has identified corporate foresight and innovation as key success factors. While, content-wise, the contribution of futures research methods to the innovation process has already been researched, this study strives to explore the status quo of organizational development stages of both concepts. To do so, we developed a portfolio-approach, the so-called ‘Future-Fitness-Portfolio’, which enables companies to qualitatively compare amongst others and identify organizational improvement potential. In addition, we conducted expert interviews to explore future organizational development trends in corporate foresight and innovation management. As our research revealed, five strategic clusters can be identified within the portfolio. Consequently, we propose specific strategies for each individual cluster. We conclude that there will be two main organizational development trends for corporate foresight and innovation management in the future: in traditional industries with conventional business models and long product-life-cycles, companies will follow a different development path than companies in dynamic industries with innovative business models and short product-life-cycles.     

A framework model for assessing sustainability impacts of urban development

Urban man-made assets have impacts not just on those who develop, build and operate them, but on people who may be quite remote from them. For example, the impact of a building on greenhouse gas emissions arising from fossil fuel use, pollution caused by travel to work patterns and employment opportunities provided by urban developments may be far removed from their immediate locality. There is a growing recognition of the need to internalize these external costs and benefits in accountancy frameworks, drawing on experiences in accounting for sustainable development. This desire, however, presents major challenges in identifying, evaluating and allocating the external environmental, social and economic costs and benefits of an urban environment. This paper reports on the development of an Urban Development Sustainability Assessment Model (UD-SAM) which allows decision makers to identify sustainability indicators (economic, environmental and social) and which may lead to more holistic evaluation of the sustainability impact of elements of the urban environment. The UD-SAM builds on a sustainability assessment model (SAM) developed originally in the oil industry. This paper describes how SAM has been tailored for the construction industry and urban sustainability assessment, and how a set of generic sustainable development indicators have been identified and validated by stakeholders.     

Factors influencing the performance of activity based costing teams: a field study of ABC model development time in the automobile industry

This paper examines how the group dynamics of activity based costing (ABC) development teams and the level of organizational resources devoted to model development affect model complexity and development time. A theoretical framework is developed based on the organizational literature on teams. The framework is tested using objective data from 18 ABC projects in two automobile manufacturing firms and survey data from ABC team members. Results show that ABC team cohesion is the key determinant of the time it takes to develop the first ABC model. Further, ABC models become more complex in the presence of an external consultant and as the level of competition increases.     

The impact of information systems and non-financial information on company success

This study aims to develop and evaluate a model that seeks to measure the impact of Accounting Information System Quality, Internal Control System Quality and Non-Financial Information Quality on company success (Decision-Making Success and Non-Financial Performance). This model is empirically tested with data obtained from the managers of 381 Portuguese companies. We use structural equation modelling in the analysis of causal relationships between different constructs. The results show that information and control systems quality (accounting and internal control) have a direct impact on Non-Financial Information Quality and an indirect impact on Decision-Making Success. The results also indicate that Quality Non-Financial Information does not contribute directly to Non-Financial Performance but contributes indirectly via Decision-Making Success. The exploratory variables prove to be crucial for the companies’ Non-Financial Performance, accounting for its 62% variance. Previous research focuses primarily on financial information quality and financial performance. This study is the first to empirically prove that information and control systems contribute favourably to the transparency and value-relevance of non-financial information and, consequently, to business success.     

A structured approach to conflict prediction in information systems strategy implementation

Organizational power and politics are the central issues of this paper. By developing a model of organizational power it is possible to determine whether an organizational change initiative is likely to be politically feasible. The formal model described has been derived largely from research reported in the social sciences. The modelling process involved using formal methods, in logic and entity relationship analysis, to discover an effective and consistent means of representing key organizational power concepts. The result is an advisory expert system called MP/L1 that can be employed by change agents to predict likely sources of potential resistance to major change initiatives and to suggest tactics that might be effective in combating anticipated resistance. Industrial experience with MP/L1 to date indicates that it has significant potential as a change management tool within the IS strategy-implementation domain. © 1998 John Wiley & Sons, Ltd.     

The organizational culture of public accounting firms: evidence from Taiwanese local and US affiliated firms

This study examines the organizational cultures of public accounting firms with data from US affiliated international accounting firms in Taiwan and Taiwanese local firms. Hypotheses are tested about the impact of the national culture of the US firms on their Taiwanese affiliates, and about cultural differences across function and rank. The study extends previous research by (1) examining an oriental country whose culture is significantly different from that of the US, (2) using the Hofstede, G., Neuijen, B., Ohayv, D. D., & Sanders G. (1990). Measuring organizational cultures: a qualitative and quantitative study across twenty cases. Administrative Science Quarterly, 35, 286–316 practices-based measure of organizational culture, and (3) examining the importance of the fit between employee preferences and organizational culture in influencing organizational commitment, job satisfaction and propensity to remain with the organization. Support is found for the cultural impact and fit hypotheses. Additonally, while culture is found to be relatively homogeneous across function, differences are found across rank.     

Organizational culture in public accounting: Size, technology, rank, and functional area

This study examines the nature of organizational culture in public accounting and demonstrates that different aspects of culture exist across and within public accounting firms. Organizational culture is defined in terms of values shared by members of an organization (or organizational sub-unit) that manifest themselves in the practices of that organization. Practices particularly important to the development and maintenance of culture include selection and socialization. The hypotheses state that different aspects of organizational culture vary across public accounting firms of different size and technology, and public accountants of different rank and functional area. These hypotheses are tested and largely supported with responses to a paper and pencil instrument, the Values Survey Module (Hofstede, Institute for Research on Intercultural Cooperation, 1982), which was completed by 338 public accountants across the United States. Implications for accountants and future research are also discussed.     

Synthesizing enterprise data through digital dashboards to strategically align performance: Why do operational managers use dashboards?

Based on a cross-sectional field study, Reinking et al. (2019) propose a complex theoretical model for understanding the characteristics of dashboards that promote use and lead to individual and organizational performance gains. This study tests the theoretical model using survey data collected from 323 middle and upper level managers with experience using corporate dashboards. The data were analyzed using components based structural equation modeling, and the results provide strong support for the external validity of the Reinking et al. (2019) theoretical model. The results show that two primary constructs, strategy alignment and interactive management control, are important factors impacting the extent of dashboard use, perceived managerial performance, and perceived organizational performance. Prior research has expressed concerns over the tendency of managers to lose sight of strategic objectives (i.e., strategy surrogation) and focus solely on performance measures. However, our results indicate that operational managers perceive that dashboards focused on specifically tailored KPIs lead to both improved managerial and organizational performance. This study contributes to management control and strategy research in two important ways. While prior research has examined strategy in the executive level context through evaluations, changes, or initiative implementations, this study investigates strategy alignment at the operational levels of the organization. Second, the results suggest that intentional strategy surrogation may have beneficial effects at the lower operational levels in an organization.     

Business risk perspectives on information systems outsourcing

Information systems (IS) outsourcing research has continued to evolve over the past decade to reflect changes in its practice and a deeper understanding of its business impact. Typically, the drivers of outsourcing decisions are both internal and external to the outsourcing organization and have been the basis for such studies. Since IS essentially represents an organization's implementation of its business processes, this paper approaches IS outsourcing by explicitly integrating issues related to business process outsourcing. The resulting business risk management framework provides a basis for effective IS outsourcing. The framework is further discussed within the context of outsourcing in e-business. By adopting a risk management perspective, this paper provides a strategic direction to further the field of IS outsourcing research.     

A Multi-Stage Model of Decision Bias: Implications for Expert Systems

The study of the bias processes that affect decision making is crucial in designing expert systems. This study proposes a multi-stage model for decision biases which reconceptualizes cognitive styles and decision heuristics within a framework that borrows heavily from research by Posner and McLeod (1982), Tversky and Kahneman (1973) and Ramaprasad (1987). The framework is tested within the context-bound area of loan making so that the biasing effects of prior experience on decision making can be examined. The results are analyzed with a path-modeling technique (i.e. covariance structural modeling) that allows testing for indirect as well as direct effects. The results are discussed in terms of the implications for expert systems development     

i-AGENTS: Modeling Organizational Problem Solving in Multi-Agent Teams

Organizations involving human and computer agents are constrained by a variety of factors including: task properties and arrangements; level of technology; knowledge held by, and distributed among, the agents; information and administrative structures; and organizational norms and policies. An important challenge to the scientific community is to develop, validate and apply theories and models to help managers re-engineer their organizations for higher levels of performance. Our research on organizational problem solving aims to develop a computational model of organizations to study interrelationships between agents' knowledge, task requirements, and organization structures and policies. This paper reports the first step of our research toward a computational organizational model—the i-AGENTS framework, a prototype computer system for modeling organizations of intelligent agents. i-AGENTS is composed of a number of high-level concepts: tasks, agents, organization and communication. A task is described in detail by task action, task object and task constraints; an agent is modeled to consist of cognitive attributes and expertise; role-based organizational structure is adopted for describing organizations. From an organization perspective, i-AGENTS extends traditional information processing models of organization (Galbraith 1977) by explicitly addressing the role of agents' knowledge of both the problem domain and the organization in problem solving. When viewed from an engineering perspective, our research is the first step toward an organizational problem-solving model that merges organization theory and distributed artificial intelligence and can be used to simulate and analyze organizational behavior of teams in engineering domains at a very specific level of detail.     

Uncovering the impacts of structural similarity of financial indicators on stock returns at different quantile levels

The mining industry is the upstream industry of national economic development. In recent years, the mining financial market has rapidly developed. Stock returns have always been a hot topic for investors and researchers. There are many factors affecting stock prices, such as market supply and demand, national policies and the price fluctuations of other financial products. The most essential factor affecting stock price fluctuation is the operating condition of the listed companies that issue shares. A series of financial indicators comprehensively and systematically reflect listed companies' current earnings and future development potential. However, there are few studies on the structure of financial indicators of listed mining companies. Therefore, we take listed mining companies as the research object to explore whether the structural similarity of their financial indicators can uncover their stock returns. The research findings are as follows: (1) The strength of the structural similarity of financial indicators has a significant negative impact on annual returns, so enterprise managers should adjust their business model and attach importance to personalized development. (2) Similar media capabilities have a negative impact on companies with high annual stock returns and a positive impact on companies with low annual stock returns. (3) The impact of similar cohesion on annual returns varies across different networks and it has a positive effect on the earnings of low-returning companies in operation network. A specific analysis should be carried out according to different financial indicator networks to diversify investment.     

The business risk audit – A longitudinal case study of an audit engagement

This study examines the impact of the Business Risk Audit (BRA), a development in audit methodology implemented in the late 1990s, on actual audit practice and on practitioners. Evidence is presented through a longitudinal case study developed from a set of actual audit files over a five year period spanning the implementation of the BRA, together with interviews with audit team members. The study contributes to our understanding of the nature of the audit techniques underlying the BRA and the difficulties experienced in implementing them within the existing organizational structures. In addition, the study illuminates the potentially conflicting roles of audit methodology in its organizational context, both in mediating the complex relationship between the administrators and practitioners in the large accounting firms and as the knowledge management structure used to support delivery of the “audit product”.     

How AIS can progress along with ontology research in IS

Recent years have witnessed a strong and growing interest in the computer science (CS) and information systems (IS) disciplines in applying and extending ontological principles to various CS/IS domains such as knowledge representation, natural language processing, conceptual modeling, and IS development. Similar interest and work have also been observed in accounting information systems (AIS) research. Though ontology research in AIS has enjoyed sustained interest and produced some significant results, there is relatively little incorporation of recent developments in CS/IS ontology research into AIS. This paper provides an overview of some leading areas of ontology research in CS/IS and AIS in an attempt to bridge this gap. The main objectives of this paper are to (1) introduce CS/IS ontology research, (2) highlight areas of future research in AIS where CS/IS ontology research developments can be used to address important and pressing issues, and (3) broaden an area of research where AIS can make unique contributions to distinguish itself.