Self-service innovativeness scale: introduction,development, and validation of scale

Consumer innovativeness is a central variable in innovation diffusion and adoption literature. The foremost challenge confronted by investigators involved in innovation diffusion and adoption research is the problem of measuring the innovativeness construct. Furthermore, a scale measuring innovativeness towards self-service technologies (SSTs) adoption is required as SSTs have grown considerably in the last few decades. To this end, this study develops and validates a self-service innovativeness (SSI) scale applicable across a variety of SSTs. The study presents a series of six distinct phases describing the development and validation of a six-item, self-report scale. The innovativeness scale has been validated in different contexts, allowing comparisons across distinct samples (i.e., student vs. non-student sample) and different industries (i.e., retail and hospitality industries). The SSI scale presented in this paper is short, valid, reliable, and easy to administer in service domains.     

Auditing regulations and bank shareholders’ wealth: An international analysis

This paper examines the ability of auditing regulation to protect bank shareholders’ wealth during the time of normal growth and during the 2007–2009 global financial crises. The study uses the bank regulation database available at the World Bank website. We select a sample of 2467 banks from 107 countries for the years 1999–2009. We perform multivariate regression analyses and find that while auditing regulations enhance bank equity prices in normal growth periods, there is no evidence that auditing regulations are associated with bank share prices during the period of financial crisis. We observe similar results for both developed and emerging countries and for the common and code law countries. Our results suggest an immediate need to strengthen audit regulations so that investor confidence is more likely to persist during periods of financial downturn.     

SCENARIO GENERATION FOR OPERATIONAL RISK

Operational risk is an increasingly important area of risk management. Scenarios are an important modelling tool in operational risk management as alternative viable methods may not exist. This can be due to challenging modelling, data and implementation issues, and other methods fail to take into account expert information. The use of scenarios has been recommended by regulators; however, scenarios can be unreliable, unrealistic and fail to take into account quantitative data. These problems have also been identified by regulators such as Basel, and presently little literature exists on addressing the problem of generating scenarios for operational risk. In this paper we propose a method for generating operational risk scenarios. We employ the method of cluster analysis to generate scenarios that enable one to combine expert opinion scenarios with quantitative operational risk data. We show that this scenario generation method leads to significantly improved scenarios and significant advantages for operational risk applications. In particular for operational risk modelling, our method leads to resolving the key problem of combining two sources of information without eliminating the information content gained from expert opinions, tractable computational implementation for operational risk modelling, improved stress testing, what‐if analyses and the ability to apply our method to a wide range of quantitative operational risk data (including multivariate distributions). We conduct numerical experiments on our method to demonstrate and validate its performance and compare it against scenarios generated from statistical property matching for comparison. Copyright © 2013 John Wiley & Sons, Ltd.     

Adverse influence of brand commitment on consideration of and preference for competing brands

This research investigates if commitment towards a target brand limits set size and preference towards competing brands in memory‐based consideration sets across three situations: (1) situations in which the situational goal matches the benefit offered by the target brand; (2) situations in which the situational goal matches the benefit offered by a competitor brand; and (3) situations in which a new benefit is introduced in the category for the first time. Findings confirm the set size and preference biases of committed consumers against a competitor brand in the first two situations. However, in the third situation, committed consumers favorably or unfavorably view the competitor brand depending on whether it is the first brand to introduce the new benefit in the category. © 2007 Wiley Periodicals, Inc.     

On Lipschitz continuity of the iterated function system in a stochastic optimal growth model

This paper provides qualitative properties of the iterated function system (IFS) generated by the optimal policy function for a class of stochastic one-sector optimal growth models. We obtain, explicitly in terms of the primitives of the model (i) a compact interval (not including the zero stock) in which the support of the invariant distribution of output must lie, and (ii) a Lipschitz property of the iterated function system on this interval. As applications, we are able to present parameter configurations under which (a) the support of the invariant distribution of the IFS is a generalized Cantor set, and (b) the invariant distribution is singular.     

Skilled–unskilled wage inequality and offshore outsourcing with asymmetric adjustment costs

We present a model that can capture the effects of offshore outsourcing on the wedge between the wages of skilled and unskilled workers when costs of adjustment are asymmetric. We identify conditions under which offshore outsourcing activities widen the skilled–unskilled wage inequality in the presence of asymmetric adjustment costs. We show how a higher cost of adjustment in the import-competing sector can magnify the offshore outsourcing induced gap between the wages of the skilled and unskilled workers. We also demonstrate the sensitivity of the effects of offshore outsourcing, on the skilled–unskilled wage gap, to asymmetries in the costs of adjustment.     

What drives customers toward proximity payment services? An integrated theory of planned behavior perspective

Proximity mobile payment (PMP) services facilitate mobile payments between payer and payee who are at same location thorough a proximity technology such as QR codes, Bluetooth, and near-field communication. It has potential to drastically change consumers' payment methods in developing countries where traditional finance infrastructure is lacking. However, there are various challenges to adopting PMP in such countries. This study aims to explore users' opinions on and motivations for using PMP by proposing an extended theory of planned behavior (TPB) model. It also seeks to resolve inconsistencies in PMP adoption studies regarding the role of user's trust in PMP services. A survey instrument was used to collect data from PMP users in a developing country. The data were analyzed using structural equation modeling. This study highlights trust as a mitigator of the negative effect induced by the perceived risk of using PMP services. It also validates that the TPB, coupled with other contextual factors, explains the adoption of PMP services in developing countries.     

The empirical relationship between ownership characteristics and audit fees

The present study examines the empirical relationship between ownership characteristics and audit fees. The basic premise is that the level of ownership sophistication and the extent to which ownership is large and substantial impact the effectiveness of stockholder monitoring on corporate affairs including the financial reporting process. Furthermore, high managerial ownership firms may experience a decline in agency problems in financial reporting due to a decrease in managerial propensity to misreport financial results. By employing a cross-sectional least squares regression analysis for a sample of 358 New York Stock Exchange-listed firms audited by the Big Five auditors, we find evidence of a significantly positive relationship between diffused institutional stock ownership (i.e., having less than 5% individual shareholding) and audit fees, and a significantly negative relationship between institutional blockholder ownership (i.e., having 5% or more individual shareholding) and audit fees. Finally, we document that managerial stock ownership is negatively associated with audit fees. We do not, however, find evidence of any relationship between noninstitutional blockholder ownership (with at least 5% individual stock ownership) and audit fees. The study's main results hold in various specification tests including when the effects of board-related and audit committee variables are factored in the analysis. Based on the observed relationship between the ownership variables and audit fees, we suggest that the ownership characteristics of a firm as a part of its governance mechanism constitute an important determinant of audit fees.

On the Phelps–Koopmans theorem

We examine whether the Phelps–Koopmans theorem is valid in models with nonconvex production technologies. We argue that a nonstationary path that converges to a capital stock above the smallest golden rule may indeed be efficient. This finding has the important implication that “capital overaccumulation” need not always imply inefficiency. Under mild regularity and smoothness assumptions, we provide an almost-complete characterization of situations in which every path with limit in excess of the smallest golden rule must be inefficient, so that a version of the Phelps–Koopmans theorem can be recovered. Finally, we establish that a nonconvergent path with limiting capital stocks above (and bounded away from) the smallest golden rule can be efficient, even if the model admits a unique golden rule. Thus the Phelps–Koopmans theorem in its general form fails to be valid, and we argue that this failure is robust across nonconvex models of growth.