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A Monte Carlo experiment is used to examine the size and power properties of alternative Bayesian tests for unit roots. Four different prior distributions for the root that is potentially unity – a uniform prior and priors attributable to Jeffreys, Lubrano, and Berger and Yang – are used in conjunction with two testing procedures: a credible interval test and a Bayes factor test. Two extensions are also considered: a test based on model averaging with different priors and a test with a hierarchical prior for a hyperparameter. The tests are applied to both trending and non-trending series. Our results favor the use of a prior suggested by Lubrano. Outcomes from applying the tests to some Australian macroeconomic time series are presented.

This paper seeks to analyse accountability relationships developed since the introduction of reforms requiring nonprofit primary health organisations (PHOs) to discharge holistic accountability.

Case study data were obtained principally through semi‐structured interviews with PHOs and their key stakeholders, observation of formal and informal meetings, and primary and secondary documents.

While government strategy requires these PHOs to discharge holistic accountability, prior hierarchical‐based practices linger. A major impediment to securing holistic accountability is the failure of the new strategy to define clearly how the funder and provider should share accountability for improving their community's health. The implementation of holistic accountability was retarded when funders' propensity to control outcomes coincided with providers' lack of enthusiasm for embracing a greater range of stakeholders. The history and structure of individual PHOs was a key indicator of whether they discharged hierarchical or holistic accountability.

This case study research is context‐specific and may have limited applicability to other PHOs or jurisdictions. However, the study shows that when funders and providers build trust rather than depending on control, holistic accountability relationships can be developed.

Despite government intention that primary health care relationships will lead to holistic accountability, this will not occur until funders clearly define responsibilities and trust their service providers.

There is a paucity of research into government‐sponsored holistic accountability relationships with local nonprofit service providers. This research provides a unique contextual analysis of the perspectives of funders, providers and a wide group of stakeholders and the operationalisation of two different styles of accountability.

Decisions pertaining to working capital management have pivotal role for firms’ short-term financial decisions. The purpose of this paper is to examine impact of working capital on profitability for Indian corporate entities.

Both classical panel analysis and Bayesian techniques have been employed that provides opportunity not only to perform comparative analysis but also allows flexibility in prior distribution assumptions.

It is found that longer cash conversion period has detrimental influence on profitability. Financial soundness indicators are playing significant role in determining firm profitability. Larger firms seem to be more profitable and significant as per Bayesian approach. Bayesian approach has led to considerable gain in estimation fit.

Observing the highly skewed distribution of dependent variable, Multivariate Student t-distribution has been considered along with normal distribution to model stochastic term. Accordingly, Bayesian methodology is applied.

Analysis of working capital for firms has been performed in Indian context. Application of Bayesian methodology is performed on balanced panel spanning from 2003 to 2012. As per author’s knowledge, this is the first study which applies Bayesian approach employing panel data for the analysis of working capital management for Indian firms.

This study aims to test the validity of the Rajan theory in South Africa and other selected emerging markets (Chile, Peru and Brazil) during the period 1975–2019.

In this study, the researchers used time-series data to estimate a Bayesian Vector Autoregression (BVAR) model with hierarchical priors. The BVAR technique has the advantage of being able to accommodate a wide cross-section of variables without running out of degrees of freedom. It is also able to deal with dense parameterization by imposing structure on model coefficients via prior information and optimal choice of the degree of formativeness.

The results for all countries except Peru confirmed the Rajan hypotheses, indicating that inequality contributes to high indebtedness, resulting in financial fragility. However, for Peru, this study finds it contradicts the theory. This study controlled for monetary policy shock and found the results differing country-specific.

The findings suggest that an escalating level of inequality leads to financial fragility, which implies that policymakers ought to be cautious of excessive inequality when endeavouring to contain the risk of financial fragility, by implementing sound structural reform policies that aim to attract investments consistent with job creation, development and growth in these countries. Policymakers should also be cautious when implementing policy tools (redistributive policies, a sound monetary policy), as they seem to increase the risk of excessive credit growth and financial fragility, and they need to treat income inequality as an important factor relevant to macroeconomic aggregates and financial fragility.

This study aims to examine the effect of exploratory innovation offshoring on the level of hierarchical control and how this effect is moderated by transnational and dynamic environments.

This study draws on a sample of 148 Taiwanese multinational enterprises to examine their governance decisions on foreign investments.

Findings show that the more innovation offshoring is exploratory, the higher the level of hierarchical control will be used by multinational enterprises (MNEs) and that transnational and dynamic environments have different moderation effects on the positive exploratory innovation offshoring-hierarchical control relationship.

This study has two theoretical implications. First, this study extends the concept of complexity from a transaction attribute level (problem) to an environmental level (transnational environment) and finds that exploratory innovation offshoring and transnational environments interactively impact governance choices. Second, this study distinguishes between two sources of technological uncertainty – uncertainty due to transaction-level attributes (exploratory innovation offshoring) and external environments (dynamic environments) and finds that exploratory innovation offshoring and dynamic environments interactively impact governance choices.

The practical implication of this study lies in the simultaneous consideration of exploratory innovation offshoring and transnational/dynamic environments, which will allow international decision-makers to adjust/select the governance forms most appropriate for speedy responding to and handling environmental changes.

This study employs the theoretical perspectives of transaction cost economics (TCE) and resource-based view (RBV) to analyze and discuss the impact of operational environments – transnational and dynamic environments – on MNEs’ decisions on the governance structure for a given innovation offshoring.

Several inferential procedures are advocated in the literature. The most commonly used techniques are the frequentist and the Bayesian inferential procedures. Bayesian methods afford inferences based on small data sets and are especially useful in studies with limited data availability. Bayesian approaches also help incorporate prior knowledge, especially subjective knowledge, into predictions. Considering the increasing difficulty in data acquisition, the application of Bayesian techniques can be hugely beneficial to managers, especially in analysing limited data situations like a study of expert opinion. Another factor constraining the broader application of Bayesian statistics in business was computational power requirements and the availability of appropriate analytical tools. However, with the increase in computational power, connectivity and the development of appropriate software programmes, Bayesian applications have become more attractive. This chapter attempts to unravel the applications of the Bayesian inferential procedure in marketing management.

Using a substantial sample of U.S.-listed firms’ Seasoned Equity Offerings (SEOs) spanning the period from 2012 to 2017, we examine the relationship between hierarchical complexity and the selection of SEO methods.

We employ multinomial logistic regression to examine the influence of hierarchical complexity on the choice among various SEO techniques. To strengthen the robustness of our results, we employ a two-stage-least-squares (2SLS) analysis and utilize propensity score matching to address potential endogeneity issues and mitigate self-selection bias, respectively.

The research indicates that companies characterized by high levels of hierarchical complexity tend to steer clear of accelerated offerings but exhibit a preference for rights offerings over firm commitment offerings. This tendency is plausibly attributed to the impact of hierarchical complexity, which diminishes information transparency and heightens information asymmetry. Furthermore, the study highlights a negative association between hierarchical complexity and firm value following SEOs.

While an expanding body of evidence establishes a connection between hierarchical complexity and various firm- or market-specific activities, to the best of our knowledge, there are no specific empirical studies that have investigated how hierarchical complexity impacts equity offering strategies. Building on the established correlation in previous research between hierarchical complexity, information transparency, and asymmetric information, and recognizing the critical role of information in the selection of SEO methods, our study reveals that hierarchical complexity may diminish information transparency, heighten information asymmetry, and hinder outside investors from fully grasping a firm’s actions and outcomes. Consequently, this influence extends to the methods of offerings chosen by listed companies.

The current study is aimed at analyzing whether and how organizational constraints (i.e. lack of autonomy) and individual characteristics (i.e. psychological capital) are related to work alienation in subordinates and supervisors, and whether the often hypothesized relationship between autonomy and work alienation is moderated in a three-way interaction (autonomy × psychological capital × hierarchical level). The hypotheses are developed by drawing on the tenets of the job demands-resources model.

The study is based on two-wave survey data from 294 Dutch employees (subordinates and supervisors).

The paper finds that autonomy is more negatively related to work alienation for subordinates with low psychological capital than for subordinates with high psychological capital. Autonomy is negatively related to work alienation for leaders, independent of their level of psychological capital.

Antecedents of work alienation have received substantial attention from researchers. The authors aim to better understand these antecedents by highlighting differences between supervisors and subordinates.

Recent scholarship has augmented Bandura's theory underlying efficacy formation by pointing to more proximate sources of efficacy information involved in forming collective teacher efficacy. These proximate sources of efficacy information theoretically shape a teacher's perception of the teaching context, operationalizing the difficulty of the teaching task that faces the school and the faculty's collective competence to be successful under specific conditions. The purpose of this study was to examine the influence of three contextual variables: socioeconomic status, school level, and school structure on teacher perceptions of collective efficacy.

School level data were collected from a cross‐section of 79 schools in a Midwestern state. Data were analyzed at the school level using hierarchical multiple regression to determine the incremental variance in collective teacher efficacy beliefs attributed to contextual variables after accounting for the effect of prior academic performance.

Results support the premise that contextual variables do add power to explanations of collective teacher efficacy over and above the effects of prior academic performance. Further, of the three contextual variables school structure independently accounted for the most variability in perceptions of collective teacher efficacy.

A sample of 79 schools was considered small to accurately test a hypothesized model of collective teacher efficacy formation using structural equation modeling. That approach would have had the advantage of permitting the researchers to identify the relationships among the predictor variables and between the predictors and the criterion. Additionally, there was a concern of possible aggregation bias associated with aggregating collective teacher efficacy scores to the school level. Despite these limitations, the findings hold theoretical and practical implications in that they defend the theoretical importance of contextual factors as efficacy sources. Furthermore, formalized and centralized conditions conducive to promoting perceptions of collective efficacy in teachers are identified.

Extant collective efficacy studies have generally not operationalized Bandura's efficacy sources to include the effects of current context. This study does.

The protection of public assets, fighting corruption and providing accountability for government agencies is necessary for public welfare, and it is possible to achieve this by quality auditing of the public sector. Since audit quality depends on the competencies of the auditor, this chapter focusses on the competencies of the public auditor and how these competencies are expected to evolve in the future with the development of technology. The chapter concentrates on the most sought-after skills for today’s public auditors by analysing the employment criteria in the Supreme Audit Institutions (SAIs) of the European Union, the United States, the United Kingdom and Turkey. Even though the SAIs of these countries/regions are quite different, it is possible to find common ground. The SAIs of these countries, in general, require public auditors to have an undergraduate degree and require the candidates to pass extensive tests on reasoning abilities.

Moreover, the author investigates the requirements for public auditor competency in the public auditing standards followed by these countries. In addition to this, the author discusses the future expectations from public auditors and the new skills these will need. Past skills include technical knowledge, prior experience, hierarchical order in audit teams, professional scepticism, reasoning abilities and reporting skills. Advancements in technology such as Artificial Intelligence and Industry 4.0 will require auditors to have technological knowledge, emotional intelligence, interpersonal skills, project management skills, critical thinking and strong communication skills. Furthermore, understanding the business and related risks will overshadow prior experience.