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There is a dearth of knowledge regarding how user dependency offers valuable resources to develop the intellectual capital of social streaming apps (SSAs) companies. This study aims to integrate major conceptual components of the UandD model, identify contextualized goal-oriented SSA dependency and empirically evaluate their interrelated user-dependency relationships in the SSA context.

A mixed-methods approach was utilized in this study. First, user gratifications were elicited through a qualitative approach, considering the exploratory stage of the SSA phenomenon. Second, statistical methods were applied to investigate and extract the sub-dimensions of SSA dependency. At last, a research model was developed grounded on the UandD model and empirically validated using the quantitative approach.

The results validated the gratification-dependency-attitude-behavior relationships hypothesized by the UandD framework in SSA. The role of user-SSA dependency in enhancing intellectual capital in the social media industry has been highlighted in this study.

This research not only provides an opportunity for the UandD model to realize its theoretical potential as envisioned by scholars but also contributes to the scholarship on social streaming apps and media dependency theory by conceptualizing goal-oriented dependency in SSAs.

The research results will guide digital media practitioners to a more nuanced understanding of the relationships between their users and modern digital media apps and thus empower the practitioners to better manage their intellectual capital based on the facilitation of their users’ dependency.

This work is one of the pioneers in contextualizing the UandD model in the SSA field, refining and measuring the SSA dependency and its distinct subdimensions and employing mixed-methods to offer a comprehensive understanding of how user dependency boosts intellectual capital in the SSA industry.

Whistleblowers have been credited for uncovering financial scandals in companies globally, including Enron, Olympus Corporation, and WorldCom. Despite increasing support and incentives for whistleblowing, there generally remains reluctance to blow the whistle. Thus, the purpose of this study is to review: (1) the determinants of internal and external whistleblowing on accounting-related misconduct, (2) U.S. whistleblowing legislation on accounting-related misconduct and related research, and (3) the effects of whistleblowing on firms and whistleblowers. Within each area, suggestions for future research are offered.

Health scientists and urban planners have long been interested in the influence that the built environment has on the physical activities in which we engage, the environmental hazards we face, the kinds of amenities we enjoy, and the resulting impacts on our health. However, it is widely recognized that the extent of this influence, and the specific cause-and-effect relationships that exist, are still relatively unclear. Recent reviews highlight the need for more individual-level data on daily activities (especially physical activity) over long periods of time linked spatially to real-world characteristics of the built environment in diverse settings, along with a wide range of personal mediating variables. While capturing objective data on the built environment has benefited from wide-scale availability of detailed land use and transport network databases, the same cannot be said of human activity. A more diverse history of data collection methods exists for such activity and continues to evolve owing to a variety of quickly emerging wearable sensor technologies. At present, no “gold standard” method has emerged for assessing physical activity type and intensity under the real-world conditions of the built environment; in fact, most methods have barely been tested outside of the laboratory, and those that have tend to experience significant drops in accuracy and reliability. This paper provides a review of these diverse methods and emerging technologies, including biochemical, self-report, direct observation, passive motion detection, and integrated approaches. Based on this review and current needs, an integrated three-tiered methodology is proposed, including: (1) passive location tracking (e.g., using global positioning systems); (2) passive motion/biometric tracking (e.g., using accelerometers); and (3) limited self-reporting (e.g., using prompted recall diaries). Key development issues are highlighted, including the need for proper validation and automated activity-detection algorithms. The paper ends with a look at some of the key lessons learned and new opportunities that have emerged at the crossroads of urban studies and health sciences.

We do have a vision for a world in which people can walk to shops, school, friends' homes, or transit stations; in which they can mingle with their neighbors and admire trees, plants, and waterways; in which the air and water are clean; and in which there are parks and play areas for children, gathering spots for teens and the elderly, and convenient work and recreation places for the rest of us. (Frumkin, Frank, & Jackson, 2004, p. xvii)

The Dodd-Frank Financial Reform Act sets new whistleblowing standards for internal accountants and external auditors who fail to resolve differences internally with top management on financial reporting matters. Whistleblowers are eligible to receive a financial reward under Dodd-Frank if they “voluntarily” provide “original” information and meet other criteria. Interpretation 102-4 of the American Institute of Certified Public Accountants Code establishes reporting obligations for external auditors to meet the requirements of Dodd-Frank. The purpose of this paper is to critically evaluate the standards to better understand the whistleblowing process. A review of the literature identifies areas of concern in deciding whether to blow the whistle. The paper contributes to the literature by integrating thoughts, ideas, and issues raised by prior researchers and considerations specific to the whistleblowing process. The analysis results in the proposal of specific unanswered questions about the process that can guide future researchers.

Field survey studies undertaken in Nigeria, Korea, China and India explored the way inner‐age satisfaction is experienced in those culturally diverse societies. Chronologically 20 to 59 year old respondents’ inner‐age satisfaction was gauged as the average difference between feel, look, do, and interest cognitive (self‐perceived) and desired (ideal) inner‐age dimensions. Analyses of covariance (with chronological age factored out) across the four nations showed Nigeria to differ significantly in terms of inner‐age satisfaction from each Asian population, contrary to the Asian societies where no differences were found across samples (except between Korea and India where inner‐age satisfaction differed at a p .05). High levels of satisfaction with inner‐age (coming about when cognitive and desired ages are equal) commonly transpired: 31.4 per cent of Indian, 36.9 per cent of Nigerian, 44.3 per cent of Chinese, and 44.9 per cent of Korean respondents. Age dissatisfaction in an elder direction (ideal age older than self‐perceived age) was atypical and happened most often among Nigerian (23.4 per cent) and least among Korean subjects (10.7 per cent). In contrast, wishing for a younger innerage was a commonplace phenomenon in India (50.6 per cent of the sample), as well as in China where it occurred the least (36.6 per cent). The study’s findings imply the universal nature of the way human beings (irrespective of culture) perceive and feel about inner‐age, as well as the potential of an inner‐age satisfaction psychographic as a relevant consumer behavior segmentation trait for marketing planners of age‐sensitive products and services who seek to standardize their global branding and distribution.

Does the choice of listing process matter in determining a firm's future crash risk? It is understood that the main function of an equity market is to provide price discovery, however, it is not clear whether the choice of listing methods would matter to the shareholders' wealth in the long term. We are the first to answer this question by utilising a hand-collected dataset that identifies all companies that went public via reverse merger (RM) in a growing emerging market.

Using hand-collected data from 2000 to 2018 in China, we follow the literature to construct two crash risk measures for RM and IPO firms. Our main analysis is performed using OLS regressions on the full sample as well as a sample using Propensity Score Matching. Our results hold with a number of robustness checks.

We find that reverse merger (RM) firms exhibit higher future stock price crash risk than initial public offering (IPO) firms. This relationship is more predominant in non-state-owned enterprises, and we find weak evidence suggesting such relationship weakens as firms stay longer in the market. There is no significant difference in future stock price crash risk between RM firms listed during IPO suspension periods and normal IPO firms.

We are the first to study the choice of listing method and its impact on firms' future stock price crash risk.

In this chapter, we explicate two related techniques that help quantify the sensitivity of a given causal inference to potential omitted variables and/or other sources of unexplained heterogeneity. In particular, we describe the Impact Threshold of a Confounding Variable (ITCV) and the Robustness of Inference to Replacement (RIR). The ITCV describes the minimum correlation necessary between an omitted variable and the focal parameters of a study to have created a spurious or invalid statistical inference. The RIR is a technique that quantifies the percentage of observations with nonzero effects in a sample that would need to be replaced with zero effects in order to overturn a given causal inference at any desired threshold. The RIR also measures the percentage of a given parameter estimate that would need to be biased in order to overturn an inference. Each of these procedures is critical to help establish causal inference, perhaps especially for research urgently studying the COVID-19 pandemic when scholars are not afforded the luxury of extended time periods to determine precise magnitudes of relationships between variables. Over the course of this chapter, we define each technique, illustrate how they are applied in the context of seminal strategic management research, offer guidelines for interpreting corresponding results, and delineate further considerations.

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.

Our primary aim is to discuss the variability that exists in the operationalization of race/ethnicity in research on genetic and biological markers. We employ Stuart Hall’s “floating signifiers” of race approach to explain the ambiguous manner in which researchers discuss the links between race and genetics.

We examine articles that use race/ethnicity and genetic or biological markers between 2000 and 2013 within three prominent genetic journals. We focused on original, empirical articles only. We utilize various race/ethnic-related search terms to obtain our sample and to categorize how terms were used.

A total of 336 articles fit our search criteria. The number of articles mentioning race/ethnicity and genetic or biological information increased over the time. A significant percentage of publications base their research on whites only. When discussions of race are included in studies, scientists often use multiple categories of race/ethnicity without much explanation.

We omit non-research articles and commentary for each journal, which could contain important discussions regarding race and genetics. This work highlights how race/ethnicity can vary in application and interpretation.

Our discussion of race/ethnicity as “floating signifiers” adds a layer of complexity to the longstanding debate regarding the importance of race/ethnicity in genetic research. The “floating” nature of race/ethnicity underlines how subjective the characterizations of samples are and how possible interpretations of results for groups can impact health disparities research. Given the increased use of genetic data by social scientists, there is a need for more cross-disciplinary discussions on the race–gene relationship.

The Dictionary of National Biography (or DNB as it is commonly called and as it will be referred to in this paper) is a classic. Depending on whether a library owns an original edition published by Smith, Elder and Company or a reprint edition published by Oxford University Press, sixty‐three brown volumes or twenty‐two blue volumes and supplements loom bulkily from the shelves. It would be an odd, ill‐trained reference librarian, historian, or scholar of English literature who has never heard of the DNB, let alone used and perused it. But mere bulk does not explain the lasting fame and staying power of this reference work, whose first volume appeared in January 1885 over a century ago.