Public re-release of going-concern opinions and market reaction

This paper examines the market reaction to the public announcement of going-concern (GC) opinions through the news media. In the early 2000s, NASDAQ and AMEX required firms listed on their exchanges to publicly announce previously disclosed information, such as the issuance of a GC opinion, through a press release or the news media. We examine the stock market reaction to the re-release of GC opinions. We find significant abnormal stock return volatility and trading volume at the re-release of this information. Further, based on an analysis of intraday transactions, we find higher abnormal trading activity in small trades around the re-release of the GC opinion, but largely no changes in large trades during the same period. In this respect, the investors that initiate the small trades act as if they are surprised by the information contained in the press release of GC opinions. Such an action, in turn, can be viewed as evidence of a delayed response to the information in GC opinions by a section of investors.     

Developing a Website Service Quality Scale: A Confirmatory Factor Analytic Approach

The surge in online consumers and their preference to buy over the Internet is nudging marketers to embrace e-commerce, but mere online presence without distinct user experience may not help attract and retain customers. Research suggests that website service quality is a determining factor in Internet buyer behavior. Several measurement tools have been used in the context of developed economies to measure e-service quality. The very few empirical researches in emerging economies, including India, motivated the researchers in the present study to refine the WEBQUAL 4.0 scale developed by Barnes and Vidgen (2002 Barnes, S. J., and R. T. Vidgen. 2002. An integrative approach to the assessment of e-commerce quality. Journal of Electronic Commerce Research 3 (3):114–27. [Google Scholar]) to measure the service quality at shopping websites. The present study employs tools like SPSS 20.0 and AMOSS 20.0 to analyze the data through exploratory factor analysis and confirmatory factor analysis. Study results suggest a 14-item WEBQUAL four factor (Ease of Use, Information Quality, Reliability, and Empathy) scale that is appropriate for Indian settings.     

Changes in the Public Accounts Committee of a Less Developed Democratic Country: A Field Study

This paper complements prior studies on the public accounts committees (PACs) by considering the notions of ‘agency’ and ‘structure’ of institutional theory in tandem in understanding the changes in structures and activities of the PAC of a less‐developed democratic country – Bangladesh. While prior studies examined ‘external’ institutional pressures on the development and operation of the PAC in various settings, the role of internal and external institutional agents in this context has not been their primary focus. Our empirical evidence from a qualitative field study indicates that over the past two decades, Bangladesh's PAC underwent significant changes to its internal governance structures and administrative processes. While these changes were indirectly driven by pressures from international donor agencies, PAC members and the national audit office played a key role as institutional agents in initiating and institutionalising the changes in PAC governance and operation.     

Use of social media by university accounting students and its impact on learning outcomes

The proliferation in the use of social media, such as Facebook and Twitter, among university students is well documented. With many universities providing student resources in formats suitable for iPad, laptop, and mobile phone use, the use of social media for university activities has become easier. This study explores the use of social media by university accounting degree students to support their academic activities in an informal setting. It explores the impact these media have on learning outcomes. Our findings suggest that university accounting degree students use social media for a number of academic-related purposes. Students establish and maintain fluid mentor/mentee relationships around academic activities related interactions through the social media. We have found that the use of Social Media is significantly associated with students’ grades.     

Uncertainty in the transaction environment: an empirical test

Previous studies examining the relationship between uncertainty and vertical integration have produced a conflicting set of results. To clarify this puzzle we drew on the literature to conceptualize three distinct forms of uncertainty—primary, competitive, and supplier—and hypothesized that each had a different effect on vertical integration. The hypotheses were tested using experimental data collected from 308 managers. Consistent with our prediction of differential effects, we found that primary and competitive uncertainty were negatively associated with the decision to vertically integrate, but supplier uncertainty was positively related to the vertical integration decision. No interaction effects were found. Implications for theory and research are suggested. © 1998 John Wiley & Sons, Ltd.     

Bridging ties: a source of firm heterogeneity in competitive capabilities

What explains differences in firms’ abilities to acquire competitive capabilities? In this paper we propose that a firm’s embeddedness in a network of ties is an important source of variation in the acquisition of competitive capabilities. We argue that firms in geographical clusters that maintain networks rich in bridging ties and sustain ties to regional institutions are well‐positioned to access new information, ideas, and opportunities. Hypotheses based on these ideas were tested on a stratified random sample of 227 job shop manufacturers located in the Midwest United States. Data were gathered using a mailed questionnaire. Results from structural equation modeling broadly support the embeddedness hypotheses and suggest a number of insights about the link between firms’ networks and the acquisition of competitive capabilities. Copyright © 1999 John Wiley & Sons, Ltd.     

The effect of the WIC program on consumption patterns in the cereal category

The Special Supplemental Nutrition Program for Women, Infants, and Children (WIC) is a federally-funded food assistance program for low income participants who are at nutritional risk. Beneficiaries receive vouchers for specific foods and brands, selected for their nutritional value. While the program is designed to improve nutrition, it may also induce changes in consumption behavior that persist beyond participation in the program. In this paper, we study how participation in WIC impacts the consumption patterns and preferences during and after the program. Our analysis focuses on the cereal category, in which the subsidized brands must meet certain nutritional guidelines. As expected, during the program households increase cereal consumption volume and shift their choices towards the WIC-approved brands. More interesting is that once households exit the program, the higher category consumption rate and elevated share of WIC brands persist. To understand the behavioral mechanism underlying these consumption patterns, we estimate a choice model and find an increased preference for WIC brands after controlling for state dependence. The evidence suggests that this targeted food subsidy program is effective in creating behavior change that persists even after the incentive is withdrawn.     

Inference on endogenously censored regression models using conditional moment inequalities

Under a quantile restriction, randomly censored regression models can be written in terms of conditional moment inequalities. We study the identified features of these moment inequalities with respect to the regression parameters where we allow for covariate dependent censoring, endogenous censoring and endogenous regressors. These inequalities restrict the parameters to a set. We show regular point identification can be achieved under a set of interpretable sufficient conditions. We then provide a simple way to convert conditional moment inequalities into unconditional ones while preserving the informational content. Our method obviates the need for nonparametric estimation, which would require the selection of smoothing parameters and trimming procedures. Without the point identification conditions, our objective function can be used to do inference on the partially identified parameter. Maintaining the point identification conditions, we propose a quantile minimum distance estimator which converges at the parametric rate to the parameter vector of interest, and has an asymptotically normal distribution. A small scale simulation study and an application using drug relapse data demonstrate satisfactory finite sample performance.     

Nature of technology and location effects on firm performance in the US medical device industry

ABSTRACT

This paper examines the location effects on firm performance (sales, employment and market value) by analyzing geographical and technological proximities in the US medical device industry. The nature of technology is introduced as a new way to scrutinize the impact of various proximities, and the findings indicate that the geographical and technological proximity in itself does not affect performance, whereas the spatially-mediated technological proximity, characterized by the technological proximity within a cluster, positively influences the performance of medical device firms. The paper addresses an important theoretical question. It consequently contributes to the effects of different proximities and nature of technology on firm performance and provides relative managerial implications interlocked with insights obtained from the medical industry.