1,721,029 research outputs found
Trade credit, firm profitability, and financial constraints: Evidence from listed SMEs in East Asia and the Pacific
Full text linkThe principal objective of this study is to investigate the non-linear association between trade credit and profitability of small and medium enterprises (SMEs). Moreover, this paper analyses whether the above relationship varies according to financial constraints of SMEs.The authors use panel data methodology to conduct investigations for a sample of 1,509 non-financial listed SMEs from nine countries or territories located in the East Asia and Pacific region, namely, China, Vietnam, Malaysia, Thailand, Japan, South Korea, Taiwan, Singapore and Hong Kong, over the period from 2010 to 2016.This study indicates that trade credit receivable (TCR) and trade credit payable (TCP) have an inverted U-shaped relationship with SMEs’ profitability, which implies the existence of an optimal trade credit level that balances between costs and benefits to maximize their profitability. This result suggests that managers should try to keep the level of trade credit investment as close to the optimal point as possible to avoid the case that their profitability reduces when they move away from this point. Moreover, this study also finds that the optimal trade credit level is sensitive to the financial constraints of SMEs. In particular, optimal level of more financially constrained firms is lower than that of less financially constrained firms.A number of contributions that this study makes to the existing literature are presented as follows. First, the paper takes account of the possible presence of a concave relationship between trade credit and SMEs’ profitability, largely ignored by the existing empirical literature. Second, it demonstrates this association in terms of both aspects of trade credit, including trade credit receivable (TCR) and trade credit payable (TCP). Third, the study investigates the effect of the different level of financial constraints faced by SMEs on the relationship between trade credit and their profitability
The role of finance, accounting and governance in sustainability and sustainable development
Full text linkEffectiveness of performance appraisal:an integrated framework
Full text linkBased on a robust analysis of the existing literature on performance appraisal (PA), this paper makes a case for an integrated framework of effectiveness of performance appraisal (EPA). To achieve this, it draws on the expanded view of measurement criteria of EPA, i.e. purposefulness, fairness and accuracy, and identifies their relationships with ratee reactions. The analysis reveals that the expanded view of purposefulness includes more theoretical anchors for the purposes of PA and relates to various aspects of human resource functions, e.g. feedback and goal orientation. The expansion in the PA fairness criterion suggests certain newly established nomological networks, which were ignored in the past, e.g. the relationship between distributive fairness and organization-referenced outcomes. Further, refinements in PA accuracy reveal a more comprehensive categorization of rating biases. Coherence among measurement criteria has resulted in a ratee reactions-based integrated framework, which should be useful for both researchers and practitioners
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
The Role of Corporate Governance Mechanisms, Executive Compensation and Regulatory Regimes in Global Incidence of Corporate Financial Fraud
Full text linkI propose and test a dynamic model of corporate fraud pyramid using tax fraud, accounting and management compensation controversies (MCC). The pyramid facets represent the explanatory dimensions of corporate governance mechanisms, quality of audit and regulatory regimes, and executive compensation. I find that large-sized firms with bigger boards invariably indulge in tax fraud. Conversely, older firms, firms paying higher executive compensation, exhibiting greater audit committee expertise and greater board meeting frequency curtail tax fraud incidence. Increased board meeting frequency, firm age, senior executive compensation and firm size is associated with increase in accounting controversies. Conversely, increased gender diversity curtails accounting fraud. Increase in firm size, senior executive compensation and outsider director’s compensation is associated with increased MCC incidence. CEO duality, single biggest owner, regulatory quality, rising EPS and operating profit margin, linking CEO compensation with total shareholder return and audit committee management independence significantly curtail MCC incidence. Increased stock-based compensation is accompanied by an increase in MCC. Audit and nomination committees and board members may not be truly independent. Firms audited by Big4 auditors have the least chance of getting entangled in accounting controversies. However, firms paying higher audit fee have a greater tendency of indulging in accounting fraud. Firms exposed to better regulatory quality environment have a much greater chance of getting involved in tax fraud controversies. Various explanatory variables behaved differently before, during and after the financial crisis. Univariate analyses support the majority of results of multivariate analyses
Variations on the Author
Full text link“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
Full text linkWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Estimating the number of cars in UK and US households
Full text linkThe quest towards resolving concerns about transportation energy consumption
and emissions across nations has created more interests to investigate factors
responsible for households’ car ownership. While literature holds an extensive
body of investigation usually compartmentalised in individual different
disciplines, limited efforts have been made to promote inter-linkages of this
strand of research across different disciplines. To fill this gap, this study
developed an integrating Multinomial logit (MNL) model to examine the impact of
some rarely-investigated and conventional explanatory variables, including:
ethnicity, accommodation tenure, settlement nature, mental belief,
environmental concern, geographical regions, household structure, driving
licence, number of household income earners and household income, on car
ownership.
Analysis based on rich data sets of British Household Survey and US Consumer
Expenditure Survey found not only the conventional explanatory variables to be
significantly linked to the number of cars in the US and UK households, but also
the rarely-investigated psychological variables were found to be significantly
linked as well. As Socio-demography, Geography and Psychology impact on
how people and households process information and assess market offers (e.g.,
products and services), this study presents findings which have beneficial implications for policymakers and transportations planners, including those who
would like to alter people’s behaviour from private car ownership to public
transportation use, car sellers in terms of how to identify and reach potential
customers, provision of alternative forecasting approaches to car ownership
scholars as well as possible consideration for general car ownership decision
making. Caution should be taken when interpreting the relationship between
psychological factors and car ownership since the psychological factors adopted
are measure representatives from databases used with limitations in the factor
structure for a representative sample of the countries’ population
Dispelling the Myths Behind First-author Citation Counts
Full text linkWe conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
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