Freeware as a competitive deterrent

Using perfect foresight and adaptive models, this paper examines the effect of competitor asymmetry, consumer sensitivity to incentives and adaptive processes on freeware strategies and competitive outcomes. Four roles played by freeware in competitive markets are identified – it can be a mechanism to build or speed up the growth of a network without the need to lower prices on the commercial version, a deterrence mechanism, a hindrance to a rival’s network building efforts, and a coordination device in the presence of forward looking consumers. We determine the optimal prices of the commercial version, the decisions to introduce freeware and the freeware qualities for both competing firms.     

The Changing Face of the Auditor's Report: Implications for Suppliers and Users of Financial Statements

The International Auditing and Assurance Standards Board (IAASB) recently finalised several significant and controversial reforms of the audit reporting model. The reforms are in response to long‐standing criticisms about the form and content of the existing audit report. This study critically examines the current audit report reforms and their implications. In particular, we investigate the perceptions of prominent stakeholders in respect of these reforms and then evaluate the implications of the reforms on the informational value of the audit report, audit quality and audit costs. The findings suggest that the changes to the audit report are of significant informational value to users, while the implications for audit quality are unclear. Indeed, the changes would increase audit costs and potentially the legal liability of auditors. This appraisal is timely given the efforts made by the IAASB in commissioning these reforms to enhance the relevance and informational value of the audit report.     

Impact of Managerial Dependencies on Ethical Behavior

This study explores if managerial dependencies and organizational independence impact ethical behavior of employees. Survey data was collected from 203 employees working for three hospitals in Midwestern and Northwestern United States. Managerial dependencies like specialized expertise, political connections, and performance visibility significantly impacted ethical behavior. Organizational independence and ethical behavior of peers also had a significant impact on ethical behavior. Implications of this study for researchers and practitioners are discussed.     

Commodity Prices and the Terms of Trade

On combining national terms-of-trade data for developing countries with world prices of internationally traded primary commodities, it is found that variation in the world prices of three or fewer key exported commodities account for 50% or more of the annual variation in the terms of trade of a typical developing country. A considerable fraction of the variation is specific to a particular commodity and, given that the overall importance of primary commodities differs across developing countries, it is possible to account for much of the heterogeneity across them. It is concluded that commodity price fluctuations should be central features of two related literatures: studies of business cycle transmission across developing and industrialized nations, and empirical work aimed at constructing perpetual claims on developing country incomes as suggested by Shiller in 1995.     

Carrying capacity analysis and destination development: a case study of Gangotri tourists/pilgrims’ circuit in the Himalaya

The Himalaya has numerous natural, cultural, aesthetic, and adventurer tourists/pilgrims’ destinations, which are the major source of income and employment to the local people and revenue generation to the government. Meanwhile, tourism carrying capacity of these destinations is poor and thus tourism development could not take shape. This article examines carrying capacity and destination development of the Gangotri tourists/pilgrims’ circuit, which is also known as Gangotri eco-sensitive zone. We conducted this study using both qualitative and quantitative approaches, in which we collected data on tourists/pilgrims flow, accommodation, transportation, and infrastructural facilities. Primary data were collected through interview of 160 persons of 8 tourists/pilgrims centres who are involved in tourism activities. Further, we employed a participatory observation method after an extensive visit of Gangotri tourisms/pilgrims circuit in January 2017. Secondary data were collected from the Uttarakhand Tourism Development Board, Dehradun. We used correlation and rank method and analysed infrastructural facilities, carrying capacity dimensions, proposed destination development model for the circuit, and observed that a sustainable tourism development may enhance economic activities such as income generation and employment augmentation as the whole circuit obtains natural, cultural, and aesthetic importance.     

Modeling Drivers and Barriers of Artificial Intelligence Adoption: Insights from a Strategic Management Perspective

Artificial intelligence (AI) in business processes and academic research in AI has significantly increased. However, the adoption of AI in organizational strategy is yet to be explored in extant literature. This study proposes two conceptual frameworks showing hierarchical relationships among the various drivers and barriers to AI adoption in organizational strategy. In a two-step approach, the literature study is first done to identify eight drivers of and nine barriers to AI adoption and validated by academic and industry experts. In the second step, MICMAC (matrice d'impacts croises-multiplication appliqúe a un classment or cross-impact matrix multiplication applied to classification) analysis categorizes the drivers and barriers to AI adoption in organizational strategy. Total interpretive structural modeling (TISM) is developed to understand the complex and hierarchical associations among the drivers and barriers. This is the first attempt to model the drivers and barriers using a methodology like TISM, which provides a comprehensive conceptual framework with hierarchical relationships and relative importance of the drivers and barriers to AI adoption. AI solutions' decision-making ability and accuracy are the most influential drivers that influence other driving factors. Lack of an AI adoption strategy, lack of AI talent, and lack of leadership commitment are the most significant barriers that affect other barriers. Recommendations for senior leadership are discussed to focus on the leading drivers and barriers. Also, the limitations and future research scope are addressed.     

GLOBAL BUSINESS CYCLES: CONVERGENCE OR DECOUPLING?*

We analyze the evolution of the degree of global cyclical interdependence over the period 1960–2008. Using a dynamic factor model, we decompose macroeconomic fluctuations in output, consumption, and investment into a global factor, factors specific to country groups, and country‐specific factors. We find that during 1985–2008, there is some convergence of business cycle fluctuations among industrial economies and among emerging market economies. Surprisingly, there is a concomitant decline in the relative importance of the global factor. We conclude that there is evidence of business cycle convergence within each of these two groups of countries but divergence (or decoupling) between them.     

How does awareness evolve when advertising stops? The role of memory

Extant models posit that awareness declines immediately and gradually after the cessation of advertising, whereas anecdotal evidence from managers suggests awareness stays constant for a while and then decays rapidly. This pattern arises because consumers remember advertisements for a finite time before they forget. Hence, we extend advertising models by incorporating the memory for ads. We conceptualize the role of memory as ??delayed forgetting of ads?? and capture it using delay differential equations, which exhibit richer dynamics and expand the class of dynamic models used in marketing. Analytically, we derive the 90% duration of advertising effects under various scenarios. Empirically, we analyze awareness evolution in the absence of advertising for the Peugeot car brand. We not only find strong support for the proposed model, but also estimate the memorability of Peugeot ads to be about 3?weeks. Moreover, if we ignore consumer memory as in the extant models, we would overstate the forgetting rate by 39%. Finally, we discuss managerial implications and identify new avenues for further research.     

Hierarchical thinking and learning in rank order contests

We analyze a class of coordination games in which the Kth player to submit an entry wins a contest. These games have an infinite number of symmetric equilibria and the set of equilibria does not change with K. We run experiments with 15 participants and with K=3, 7, and 11. Our experiments show that the value of K affects initial submissions and convergence to equilibrium. When K is small relative to the number of participants, our experiments show that repeated play converges to or near zero. When K is large, an equilibrium is often not reached as a result of repeated play. We seek explanations to these patterns in hierarchical thinking and direction learning.      

Factors Impacting Ethical Behavior in Hospitals

This study examines factors impacting ethical behavior of 203 hospital employees in Midwestern and Northwestern United States. Ethical behavior of peers had the most significant impact on ethical behavior. Ethical behavior of successful managers, professional education in ethics and sex of the respondents also significantly impacted ethical behavior. Nurses were significantly more ethical than other employees. Race of the respondent did not impact ethical behavior. Overclaiming scales indicated that social desirability bias did not significantly impact the results of our study. Implications of this study for researchers and practitioners are discussed.