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The purpose of this paper is to introduce analyst estimates and option pricing-based variables in modeling material accounting misstatements.

The paper uses a logistic regression model to analyze a comprehensive sample of AAER and non-AAER firms listed in the USA.

By applying a cross-sectional, sequence of time-series logistic regression models, the authors find better identifiers of ex ante risk of fraud than prediction models based on an inspection of abnormal accruals. These identifiers include the managed earnings (ME) component of a firm and the change in a firm’s option contracts’ implied volatility (IV) prior to an earnings announcement.

The empirical findings contribute to an understanding of earnings manipulation (fraud) and should be of value to auditors and regulatory bodies interested in identifying financial statement fraud, particularly the Securities and Exchange Commission, which has been improving its accounting quality model (AQM or Robocop) fraud detection tool for many years. The results contribute substantially to enhancing the current accounting literature by introducing two non-accrual-based measures that significantly enhance the predictive power of an accrual-based accounting misstatement prediction model.

This paper radically departs from relying on the assumption that the clearest and easiest pathway to detect fraud reporting ex ante is through an examination of accruals. Instead, the authors use a richer source of information about the possibility of a firm’s misstatement of its financial accounting numbers, namely, analyst estimates of ex post earnings and the IV from exchange-traded option contracts.

The purpose of this paper is to examine whether mandatory adoption of International Financial Reporting Standards (IFRS) in the European Union reduced earnings manipulation, as proxied by the difference between a firm's reported earnings and ex post estimate of earnings by financial analysts.

Controlling for firm and institutional factors and drawing upon a sample of 15,034 firm‐year observations from 20 European countries, the research design entailed examining the change in the earnings manipulation proxy during pre‐ and post‐IFRS adoption periods.

The principal finding from this analysis was a decline in the magnitude of the proxy for earnings manipulation coincidental with IFRS adoption, which suggests that a uniform financial reporting regime may have contributed to exposing the use of temporary activities to manipulate earnings.

The results of this study make an important contribution to the extant literature on the outcomes of IFRS adoption, and should be of value to investors and standard setters, who want honest and comparable financial reporting but are opposed to regulatory intervention. Of equal significance is the innovative model introduced to proxy for earnings manipulation.

A striking feature of Jaques' work is his “no nonsense” attitude to the “manager‐subordinate” relationship. His blunt account of the origins of this relationship seems at first sight to place him in the legalistic “principles of management” camp rather than in the ranks of the subtler “people centred” schools. We shall see before long how misleading such first impressions can be, for Jaques is not making simplistic assumptions about the human psyche. But he certainly sees no point in agonising over the mechanism of association which brings organisations and work‐groups into being when the facts of life are perfectly straightforward and there is no need to be squeamish about them.

The purpose of this paper is to review the literature that measures the concept of firms' information environment (IE) with focus on the validity of proxies used to measure IE.

The paper reviews the IE literature using theoretically based categories and analyzes the contextual meaning and use of IE proxies. The review is based on a selection of 284 research articles from 51 journals between 2000 and 2018. A total of 37 different proxy measures of IE are found and analyzed with respect to causality based on categories and the use of IE variables as dependent, independent and control variables.

The study indicates that the IE measures are heterogeneous and there is a lack of consensus regarding their use. The different conditions used to study IE explain part, but far from all, of this heterogeneity. Furthermore, we find that the use of IE measures is only briefly discussed or motivated among the studies in the sample. These findings suggest a necessary discussion about causality in the use of IE as dependent, independent or control variables.

This study contains new and significant information on IE and IE proxy measures. It provides an extensive literature review and provides a novel typology to analyze IE.

The purpose of this paper is to investigate the domain of security analysts' earnings forecasts as a valid measure of firm performance.

A survey instrument was developed and sent to 1,350 security analysts to ascertain the criteria they used in evaluating firm performance.

Factor analysis indicates strong support for organizational level variables, such as top management, CEO ability, corporate culture, size as opposed to environment and industry level variables.

The domain of security analysts' earnings forecasts is broader than traditional accounting‐ and market‐based measures and more closely matches the realm of the strategic management field.

The study presents new evidence that key organizational variables influence security analysts' earnings forecasts.

The present study is the first to the best of one's knowledge that ascertains the factors that security analysts utilize in making earnings forecasts for the firms they follow.

Addresses the standardization of the measurements and the labels for concepts commonly used in the study of work organizations. As a reference handbook and research tool, seeks to improve measurement in the study of work organizations and to facilitate the teaching of introductory courses in this subject. Focuses solely on work organizations, that is, social systems in which members work for money. Defines measurement and distinguishes four levels: nominal, ordinal, interval and ratio. Selects specific measures on the basis of quality, diversity, simplicity and availability and evaluates each measure for its validity and reliability. Employs a set of 38 concepts ‐ ranging from “absenteeism” to “turnover” as the handbook’s frame of reference. Concludes by reviewing organizational measurement over the past 30 years and recommending future measurement reseach.

In the last four years, since Volume I of this Bibliography first appeared, there has been an explosion of literature in all the main functional areas of business. This wealth of material poses problems for the researcher in management studies — and, of course, for the librarian: uncovering what has been written in any one area is not an easy task. This volume aims to help the librarian and the researcher overcome some of the immediate problems of identification of material. It is an annotated bibliography of management, drawing on the wide variety of literature produced by MCB University Press. Over the last four years, MCB University Press has produced an extensive range of books and serial publications covering most of the established and many of the developing areas of management. This volume, in conjunction with Volume I, provides a guide to all the material published so far.

Measuring service quality in online retail is critical. The purpose of this paper is to put in foreground key methodological issues of prevailing research related to scale development for the measurement of service quality in the context of online retail.

Content analysis of 30 research papers sourced from prestigious databases has been done to detect defects within research and sampling methods, survey administration, item generation and purification, dimensionality analysis, reliability and validity assessment. Also observations regarding dimensionality of online service quality constructs have been highlighted.

Study revealed deficiencies in sample size and composition, quantitative orientation in research methods, leniency in item generation/purification and negligent assessment of reliability and validity. It was found that e-service quality is multidimensional in nature and there is no consensus on number and nature of dimensions, although security/privacy, website design, reliability, responsiveness and information emerged as most cited dimensions. Electronic and traditional service quality dimensions displayed analogy in direct or adapted form.

This paper is first to highlight key methodological issues of prevailing research on e-service quality scale development in context of online retail. Implications for researchers and managers are summarized at the end of the study.

The equation of unified knowledge says that S = f (A,P) which means that the practical solution to a given problem is a function of the existing, empirical, actual realities and the future, potential, best possible conditions of general stable equilibrium which both pure and practical reason, exhaustive in the Kantian sense, show as being within the realm of potential realities beyond any doubt. The first classical revolution in economic thinking, included in factor “P” of the equation, conceived the economic and financial problems in terms of a model of ideal conditions of stable equilibrium but neglected the full consideration of the existing, actual conditions. That is the main reason why, in the end, it failed. The second modern revolution, included in factor “A” of the equation, conceived the economic and financial problems in terms of the existing, actual conditions, usually in disequilibrium or unstable equilibrium (in case of stagnation) and neglected the sense of right direction expressed in factor “P” or the realization of general, stable equilibrium. That is the main reason why the modern revolution failed in the past and is failing in front of our eyes in the present. The equation of unified knowledge, perceived as a sui generis synthesis between classical and modern thinking has been applied rigorously and systematically in writing the enclosed American‐British economic, monetary, financial and social stabilization plans. In the final analysis, a new economic philosophy, based on a synthesis between classical and modern thinking, called here the new economics of unified knowledge, is applied to solve the malaise of the twentieth century which resulted from a confusion between thinking in terms of stable equilibrium on the one hand and disequilibrium or unstable equilibrium on the other.

Smart card-based E-payment systems are receiving increasing attention as the number of implementations is witnessed on the rise globally. Understanding of user adoption behavior of E-payment systems that employ smart card technology becomes a research area that is of particular value and interest to both IS researchers and professionals. However, research interest focuses mostly on why a smart card-based E-payment system results in a failure or how the system could have grown into a success. This signals the fact that researchers have not had much opportunity to critically review a smart card-based E-payment system that has gained wide support and overcome the hurdle of critical mass adoption. The Octopus in Hong Kong has provided a rare opportunity for investigating smart card-based E-payment system because of its unprecedented success. This research seeks to thoroughly analyze the Octopus from technology adoption behavior perspectives.

Cultural impacts on adoption behavior are one of the key areas that this research posits to investigate. Since the present research is conducted in Hong Kong where a majority of population is Chinese ethnicity and yet is westernized in a number of aspects, assuming that users in Hong Kong are characterized by eastern or western culture is less useful. Explicit cultural characteristics at individual level are tapped into here instead of applying generalization of cultural beliefs to users to more accurately reflect cultural bias. In this vein, the technology acceptance model (TAM) is adapted, extended, and tested for its applicability cross-culturally in Hong Kong on the Octopus. Four cultural dimensions developed by Hofstede are included in this study, namely uncertainty avoidance, masculinity, individualism, and Confucian Dynamism (long-term orientation), to explore their influence on usage behavior through the mediation of perceived usefulness.

TAM is also integrated with the innovation diffusion theory (IDT) to borrow two constructs in relation to innovative characteristics, namely relative advantage and compatibility, in order to enhance the explanatory power of the proposed research model. Besides, the normative accountability of the research model is strengthened by embracing two social influences, namely subjective norm and image. As the last antecedent to perceived usefulness, prior experience serves to bring in the time variation factor to allow level of prior experience to exert both direct and moderating effects on perceived usefulness.

The resulting research model is analyzed by partial least squares (PLS)-based Structural Equation Modeling (SEM) approach. The research findings reveal that all cultural dimensions demonstrate direct effect on perceived usefulness though the influence of uncertainty avoidance is found marginally significant. Other constructs on innovative characteristics and social influences are validated to be significant as hypothesized. Prior experience does indeed significantly moderate the two influences that perceived usefulness receives from relative advantage and compatibility, respectively. The research model has demonstrated convincing explanatory power and so may be employed for further studies in other contexts. In particular, cultural effects play a key role in contributing to the uniqueness of the model, enabling it to be an effective tool to help critically understand increasingly internationalized IS system development and implementation efforts. This research also suggests several practical implications in view of the findings that could better inform managerial decisions for designing, implementing, or promoting smart card-based E-payment system.