Institutional Change of Accounting Systems: The Adoption of a Regime of Adapted International Financial Reporting Standards

Richard Mattessich, New York: Garland Publishing (New Works in Accounting History), 2000, £43.00, xii +179pp. ISBN: 0-8153-3445-1     

Two Classroom Simulations in Financial Risk Management and Insurance

ABSTRACT: Few classroom experiences provide as much educational value as a simulation exercise. A properly structured simulation provides students with the motivation to learn, the opportunity to explore strategies in an environment conducive to experimentation, and the immediate instructional benefit of watching their decisions affect the outcome of the collective simulation experience. This article describes the procedure and relative success of two classroom simulations for students in introductory and intermediate risk management and insurance courses. The first simulation replicates the risk management function of futures contracts through the use of hypothetical traders in the corn market with different risk management needs. The corn futures trading simulation achieves several goals for an introductory course in risk management and insurance: (1) students learn the importance of capital market risk management mechanisms; (2) students understand the transfer of risk among hedgers and speculators; and (3) students receive exposure to the concept that risk management is both possible and necessary for both speculative and pure risks. The second simulation mimics the operation of the market for homeowners insurance. By dividing students into consumer groups and insurer groups, participants experience the effect of chance events and insurance purchase decisions on their wealth. Small groups of upper‐level students act as insurers, and must price, package, and sell their product with a limited amount of surplus. Introductory students serve as consumers with limited resources who must survey the market and decide what product to buy and from whom. The competitive element and relatively unregulated market provide students with the incentive to innovate in a market for a common type of insurance and also demonstrates the need for some amount of insurance regulation. These simulations supply a simple way to enhance students' understanding of important basic concepts in a format that provides a welcome break from the traditional lecture format.     

On The Log-Linear Analysis Of Multiple Response Data

Log-linear procedures have been recommended for analyzing data that are in the form of counts or frequencies (Iacobucci and McGill 1990). In its current form, the recommended procedure does not deal with multiple response data (i.e., more than one thought per response category). The paper proposes analytical modifications that researchers need to consider when fitting models with this type of data. The problems and recommended modifications are illustrated with two distinct data sets. The first involves consumers' attribution responses to negative word-of-mouth communication about a brand whereas the second pertains to consumers' cognitive responses toward an advertisement. Results in each case indicate that researchers may generate erroneous conclusions about the significance of estimated parameters if the recommendations are ignored.     

FAIR Act Implications for Land Values in the Corn Belt

In 1996 the federal government enacted the Federal Agriculture Improvement and Reform (FAIR) Act, which represented a sweeping change in public policy toward agriculture. This paper examines the impact of the FAIR legislation on farmland values across the U.S. Corn Belt. A representative farm framework is used to determine the impact of FAIR on farmland values. The analysis suggests that marginal production environments are likely to suffer most severely under FAIR, and that a prolonged period of weak commodity prices could engender sharp declines in farmland values.     

Technological inefficiency indexes: a binary taxonomy and a generic theorem

Over the years following Debreu’s (1951) seminal formulation of a “coefficient of resource utilization”, a large number of indexes of technological inefficiency have been specified and a spate of papers has examined the properties satisfied by these indexes. This paper approaches the subject more synthetically, presenting generic results on classes of indexes and their properties. In particular, we consider a broad class of indexes containing almost all known indexes and a partition of this class into two subsets, slacks-based indexes and path-based indexes. Slacks-based indexes are expressed in terms of additive or multiplicative slacks for all inputs and outputs, and particular indexes are generated by specifying the form of aggregation over the coordinate-wise slacks. Path-based indexes are expressed in terms of a common contraction/expansion factor, and particular indexes are generated by specifying the form of the path to the frontier of the technology. Owing to an impossibility result in one of our earlier papers, we know that the set of all inefficiency indexes can be partitioned into three subsets: those that satisfy continuity (in quantities and technologies) and violate indication (equal to some specified value if and only if the quantity vector is efficient), those that satisfy indication and violate continuity, and those that satisfy neither. We prove two generic theorems establishing the equivalence of these two partitions: all slacks-based indexes satisfy indication and hence violate continuity, and all path-based indexes satisfy continuity and hence violate indication. We also discuss the few indexes that do not belong to either of these two sets. Our hope is that these results will help guide decisions about specification of the form of efficiency indexes used in empirical analysis.     

Thirsty in an Ocean of Data? Pitfalls and Practical Strategies When Partnering With Industry on Big Data Supply Chain Research

Increased volume, velocity, and variety of data provides new opportunities for businesses to take advantage of data science techniques, predictive analytics, and big data. However, firms are struggling to make use of their disjointed and unintegrated data streams. Despite this, academics with the analytic tools and training to pursue such research often face difficulty gaining access to corporate data. We explore the divergent goals of practitioners and academics and how the gap that exists between the communities can be overcome to derive mutual value from big data. We describe a practical roadmap for collaboration between academics and practitioners pursuing big data research. Then we detail a case example of how, by following this roadmap, researchers can provide insight to a firm on a specific supply chain problem while developing a replicable template for effective analysis of big data. In our case study, we demonstrate the value of effectively pairing management theory with big data exploration, describe unique challenges involved in big data research, and develop a novel and replicable hierarchical regression‐based process for analyzing big data.     

An Empirical Assessment of the Influence of March and Simon’s Organizations: The Realized Contribution and Unfulfilled Promise of a Masterpiece

March and Simon’s Organizations is a seminal work in management studies. We assess the contribution Organizations has made to management studies through a citation context analysis of 1,400 articles from top management journals. By categorizing the content from Organizations cited in subsequent works, we find that two related categories associated with cognitive limits and routines or programs account for half (50.5%) of all citation contexts since 1990. We also investigate whether citations to Organizations have been peripheral or substantial to the citing authors’ claims, how cited content has changed over time, and the extent to which citing works have provided empirical evidence to test March and Simon’s propositions or have been critical of their assertions. Our investigation reveals disturbingly few attempts to empirically validate the assertions made in Organizations. Overall, we provide a critical reflection on how well subsequent scholarship fulfils the aims and promise heralded by this masterpiece.     

Evaluating Adolescents’ Responses to Internet Ads: Role of Ad Skepticism,Internet Literacy,and Parental Mediation

In this article, we first compare adolescents’ responses to two formats (easily recognizable versus not easily recognizable) Internet ads. We find that Internet literacy and ad skepticism are necessary for adolescents to effectively apply persuasion knowledge to identify both ad formats. Second, we demonstrate that parental mediation and parents’ levels of Internet skills are critical for children’s development of Internet literacy. As a result, this article advances our understanding of adolescents’ responses to different Internet ad formats and the influential role of parental mediation in facilitating children’s development of such skills.     

Everyday Low Pricing: A Private Brand Growth Strategy in Traditional Food Retailers

This article aims to address the relationship between promotional pricing and everyday low pricing in strategically growing private brands in traditional food retailers. The study aims to expand the domain of previously researched private brands strategies by including a broader sales growth role than is normally found in the branding literature, particularly using private brands as a centerpiece of growth and not solely as a less expensive option to national brands. The gap in research we are addressing, and why our study is different, is twofold: There has been very little research in the area of taking traditional “mass categories” and implementing mass merchant tactics inside a conventional food format, and there has been very little research surrounding using private brands as the tactical fighter for a conventional food retailer.     

Can green behaviors really be increased for all employees? Trade‐offs for “deep greens” in a goal‐oriented green human resource management intervention

This study explores the complex interaction between psychological and goal‐relevant boundary conditions that influence levels of individual engagement in a green human resource management (HRM) intervention designed to encourage employee green behavior (EGB). Data were collected from 1,112 employees in an automobile manufacturing plant. Consistent with goal‐setting theory, the level of feedback received predicts EGB. However, a three‐way interaction demonstrates how employees with high levels of autonomous motivation do not gain the expected benefits of high feedback and high goal commitment in the enactment of EGB. Instead, only those with weak autonomous motivation are affected by these goal‐related constructs. Findings suggest that both goal‐setting and self‐determination theories are relevant to green HRM interventions. Managers should consider that interventions that are effective for employees who do not have strong autonomous motivation towards the environment may not be effective for those who do.