Quaker Business Ethics as MacIntyrean Tradition

Journal of Business Ethics - This paper argues that Quaker business ethics can be understood as a MacIntyrean tradition. To do so, it draws on three key MacIntyrean concepts: community,...     

A regularity theory of causality for the social sciences

Quality & Quantity - This article discusses a regularity theory of causality (RTC) for the social sciences. With RTC, causality is a relationship between X and Y characterized by three...     

Business model innovation in a knowledge revolution: An evolutionary theory perspective

For knowledge‐intensive industries, a need remains to increase clarity on the dynamics through which business model innovation occurs. Progress has been limited owing to complexities in these industries and to the underlying ontology of the business model concept itself. Through a conceptual methodology, our findings expose impediments to current business model theory and propose economic evolutionary theory as a useful alternative lens through which to address these limitations. This research contributes to the literature by broadening the traditional scope of the economic evolutionary view as relevant for business model innovation research and by offering a corresponding framework for future research.     

Household Determinants of the Adoption of Improved Cassava Varieties using DNA Fingerprinting to Identify Varieties in Farmer Fields: A Case Study in Colombia

We examine factors affecting the adoption of improved cassava varieties of 217 households in the Cauca Department in southwest Colombia. Using DNA fingerprinting through Single Nucleotide Polymorphisms (SNPs), we identified different cultivars in farmers fields. We also used this information to remove possible bias in the adoption model that could have resulted from a misclassification of improved varieties (IVs). As a result, we found that farmers substantially overestimate their use of IVs and there are important differences in the determinants of adoption between farmer self‐identification and DNA fingerprinting. This finding implies that the incorporation of DNA fingerprinting in IV adoption studies is important to ensure the accuracy of future agricultural economic research and the relevance of subsequent policy recommendations.     

Building relationship innovation in global collaborative partnerships: big data analytics and traditional organizational powers

This study examines how relationship innovation can be developed in global collaborative partnerships (alliances, joint ventures, mergers, and acquisitions). The recently emerging theory of big data analytics linked with traditional organizational powers has attracted a growing interest, but surprisingly little research has been devoted to this important and complex topic. Therefore, after developing the theoretical foundations, our study empirically quantifies the links between the theoretical constructs based on the data collected from chief executive officers, managing directors, and heads of departments who work in contemporary global data‐and‐information driven collaborative partnerships. The results from structural equation modeling indicate that the relationship innovation depends on the power of big data analytics and non‐mediated powers (NMP, expert and referent). The power of big data analytics also mediates the correlation between NMP and relationship innovation. However, mediated powers (coercive and manipulative) negatively affect the power of big data analytics and relationship innovation. The interaction effects further depict that analytically powered partnerships have better relationship innovation compared with those which focus less on the analytical power. Consequently, the contributions of this study provide a deeper understanding of mechanisms of how modern collaborative partnerships can use big data analytics and traditional organizational powers to co‐create relationship innovation.     

Target‐Setting,Pay for Performance,and Quality Improvement: A Case Study of Ontario Hospitals’ Quality‐Improvement Plans

This study examines whether difficult targets and quality indicators in executives' pay‐for‐performance (P4P) plans affect performance. The impact of target‐setting and P4P plans on quality improvement in the public sector is unclear. The Ontario government initiated the Quality Improvement Plan (QIP), which requires hospitals to set targets for quality indicators annually and link executive pay to target achievement since 2011. Analyzing Health Quality Ontario's database and hospitals' 2012–2013 QIPs, this study shows greater quality improvement in hospitals with difficult targets than hospitals with easy targets or without assigned targets; however, the positive impact disappears for high‐performance hospitals relative to their peers. We find no significant effect of the use of quality indicators in executives' P4P plans on quality improvement. Copyright © 2018 ASAC. Published by John Wiley & Sons, Ltd.     

The business cycle is alive and well

Business Economics - Have the dynamic relations among macro variables changed markedly since the financial crisis? A dynamic factor model provides consistent evidence of stability across 248...     

Time series copulas for heteroskedastic data

We propose parametric copulas that capture serial dependence in stationary heteroskedastic time series. We suggest copulas for first‐order Markov series, and then extend them to higher orders and multivariate series. We derive the copula of a volatility proxy, based on which we propose new measures of volatility dependence, including co‐movement and spillover in multivariate series. In general, these depend upon the marginal distributions of the series. Using exchange rate returns, we show that the resulting copula models can capture their marginal distributions more accurately than univariate and multivariate generalized autoregressive conditional heteroskedasticity models, and produce more accurate value‐at‐risk forecasts.     

Because you're worth it? Determinants of Vice Chancellor pay in the UK

Wage inequality has increased across most developed nations; this has been manifested in a wide range of organisations and sectors, with implications for well‐being and sustainability; within UK universities, this has become increasingly visible. There is increasing pressure on universities to deliver social and economic impact in an increasingly market‐driven and metric‐driven environment. In the UK context, increasing financial pressure has led to both an escalation of student fees and constrained wage growth for faculty. In contrast, most Vice Chancellors have secured substantive pay packages raising concerns that regulatory failures may be contributing to the rise. We show that Vice Chancellors use their internal power within organisations to extract a disproportionate amount of the value created by the institution. However, we encountered much diversity according to the quality of governance, highlighting the extent to which not only contextual but also internal dynamics drive wage inequality.