Search results

This paper aims to present a theoretical underpinning for the fact that empirical studies have found an inverted-U curve relationship between emigration and per capita income, based on credit restrictions. The implications for tax policy are also analyzed.

Using an intertemporal general equilibrium model, the authors characterize how the presence of an “inverted U-curve” relationship between emigration and per capita income will influence the optimal tax and expenditure policy in a country where agents have the option to move abroad.

Among the results it is shown that if age-dependent taxes are available, the presence of an inverted-U curve provides an incentive to tax young labor harder, but old labor less hard, than otherwise.

This migration model fits the empirical facts of migration better than most of the migration models previously used in the optimal taxation literature.

Significant transitions in firms (e.g. outsourcing) may impact the relative importance of production and inventory assets, affecting the hierarchical separation of planning decisions. The purpose of this paper is to contribute to planning literature by investigating how the production system and the planning environment influence the performance difference between hierarchical and monolithic planning. Further, it seeks to reduce the prevailing theory-practice gap in tactical planning.

Through an action research study, a monolithic model integrating tactical production planning decisions, subject to upstream supply chain constraints, with strategic investments decisions was developed, tested and implemented in a global OEM. Using the developed model and a measure of the capital cost of production assets relative to the cost of holding inventory, it is numerically examined how the production system and planning environment influence the performance of hierarchical and monolithic planning.

The research demonstrates the potential of integrating decisions and reveals significant performance differences between hierarchical and monolithic planning for firms with low capital cost relative to inventory holding cost.

The findings suggest a fit between planning processes, the production system and planning environment. Future research should empirically validate the findings and propositions.

The paper combine capital investments and production planning decisions, which usually transpire at different hierarchical levels and on different time-horizons, and investigates the consequences of hierarchical separation through a real-life validated case and numerical analysis.

The purpose of this paper is to investigate how access to financing for incremental as well as radical innovation activities is affected by firm-specific structural and behavioral characteristics.

Deploying a two-stage Heckman probit model on survey data spanning the period 2000–2013 and covering 1,169 firms, this paper analyzes the effect of a firm’s engagement in incremental and radical innovation on its likelihood to get constrained in their access to external finance, and how this effect is moderated by the firm’s age and size.

In line with earlier research, it is confirmed that the type of innovation matters for the access to external finance, but in a more nuanced way than generally portrayed. While incremental innovation activities have little negative effect on the access to external finance, radical innovation activities tend to be penalized by capital markets. This effect appears to be particularly strong for small firms.

This paper provides nuanced insights into the interplay between types of firm-level innovation activities, structural characteristic and access to external finance.

This paper examines the organizational resilience of audit firms during the early stages of COVID-19. The unexpected restrictions placed on travel and on-site working created unanticipated barriers for auditors in Hong Kong. The authors expect that auditors with greater organizational resilience can respond to unexpected situations and restore expected performance levels relatively quickly.

The authors utilize a sample of 1,008 companies listed on Hong Kong Stock Exchange (HKEX) with a financial year-end of December 31. The authors identify five proxies contributing to organizational resilience: auditor size, industry specialization, diversity, geographic proximity to the client and auditing a new client. The authors use audit report timeliness as this study's main dependent variable.

This study's full-sample results suggest that larger auditors, industry specialists and auditors with closer relationships to clients issued more timely audit reports during the pandemic. The analysis of a subsample of companies that initially published unaudited financial statements reveals that industry expertise and longer auditor-client relationships significantly reduced the need for year-end audit adjustments. Finally, the authors find that larger auditors were more likely to offload clients, whereas industry specialists were more likely to retain clients.

The results of the paper suggests that audit firm characteristics associated cognitive abilities, behavioral characteristics and contextual conditions are associated with audit firm organizational resilience and, consequently, helps auditors respond unexpected changes in the audit environment.

The findings of the paper are informative for those involved in audit firm management or auditor hiring and retention decisions.

This study is the first to link organizational resilience to the performance of audit firms in a time of unexpected events. The authors connect three auditor and two auditor-client dimensions to the organizational resilience of the audit firms.

The purpose of this paper is to investigate how entrepreneurs market their business opportunities towards business angels in the investment process. This is achieved by introducing the business model canvas as a mitigating framework to help entrepreneurs in communicating and structuring the information desired by business angels.

This paper mobilises a case study approach by following a series of investment processes and investment meetings between entrepreneurs and business angels through 27 semi-structured interviews as well as participant observation and qualitative participant feedback from 13 investment processes.

The findings illustrate how introducing a framework like the business model canvas helps alleviate the informational and communication challenges between entrepreneurs and business angels. However, some problems occurred when the entrepreneurs and the business angels did not fully agree on the value proposition of the investment opportunity.

The findings show that entrepreneurs who market their business cases to investors obtain better feedback and a higher chance of funding using the business model canvas. Implications of this paper also relate to the preparation of the entrepreneurs and that matchmakers between entrepreneurs and investors can use the business model canvas to facilitate such processes.

This paper contributes to both the theory of the investment process as well as the application of the business model canvas.

This chapter treats new product development in relation to management and organization. The data comprise new product development within four Danish manufacturing firms studied by interviewing the management, product leaders and other employees. The results show how integrated product development procedures have furthered a stronger market orientation. The stage-gate version of integration has fertilized knowledge across functions. The new procedures have made the understanding of cooperation across functions topical and have been followed up by more involvement of the employees. The changes have run into barriers which to a certain extent have been met by organizational changes.

The aim of this book is to contribute to the understanding of product innovation – how it takes place and how it affects the economy. Our analysis of product innovation links it to interactive learning and to the performance of firms. On the basis of unique data sets and detailed case studies we study the interconnections between these three elements from different angles. We believe that the book will prove helpful for managers, employees and policy makers as well as for all those in academia who wants to understand the role of product innovation in the economy.

Conformal cooling channels in additively manufactured molds are superior over conventional channels in terms of cooling control, part warpage and lead time. The heat transfer ability of cooling channels is determined by their geometry and surface roughness. Laser powder bed fusion manufactured channels have an inherent process-induced dross formation that may significantly alter the actual shape of nominal channels. Therefore, it is crucial to be able to predict the expected surface roughness and changes in the geometry of metal additively manufactured conformal cooling channels. The purpose of this paper is to present a new methodology for predicting the realistic design of laser powder bed fusion channels.

This study proposes a methodology for making nominal channel design more realistic by the implementation of roughness prediction models. The models are used for altering the nominal shape of a channel to its predicted shape by point cloud analysis and manipulation.

A straight channel is investigated as a simple case study and validated against X-ray computed tomography measurements. The modified channel geometry is reconstructed and meshed, resulting in a predicted, more realistic version of the nominal geometry. The methodology is successfully tested on a torus shape and a simple conformal cooling channel design. Finally, the methodology is validated through a cooling test experiment and comparison with simulations.

Accurate prediction of channel surface roughness and geometry would lead toward more accurate modeling of cooling performance.

A robust start to finish method for realistic geometrical prediction of metal additive manufacturing cooling channels has yet to be proposed. The current study seeks to fill the gap.

This chapter introduces the main aims and ambition with the anthology, which is to bring together research from diverse perspectives on doping and Image and Performance Enhancing Drug (IPED) use. The chapter highlights existing but often backgrounded links between sport and fitness doping research and present a re-reading of the cultural history of doping through which simplistic divisions, such as that between sport and fitness, are deconstructed. Further, by unbinding the hegemonic divide between sports doping and fitness doping, new insights (and themes) concerning anti-doping, health and risk, new emerging doping spaces and the gendering of this field of research are brought to the fore. These themes are then used as point of departure when introducing the different chapters and scholars that contribute to the volume at hand.

Big data poses as a valuable opportunity to further improve decision making in supply chain management (SCM). However, the understanding and application of big data seem rather elusive and only partially explored. The purpose of this paper is to create further guidance in understanding big data and to explore applications from a business process perspective.

This paper is based on a sequential mixed-method. First, a Delphi study was designed to gain insights regarding the terminology of big data and to identify and rank applications of big data in SCM using an adjusted supply chain operations reference (SCOR) process framework. This was followed by a questionnaire-survey among supply chain executives to elucidate the Delphi study findings and to assess the practical use of big data.

First, big data terminology seems to be more about data collection than of data management and data utilization. Second, the application of big data is most applicable for logistics, service and planning processes than of sourcing, manufacturing and return. Third, supply chain executives seem to have a slow adoption of big data.

The Delphi study is explorative by nature and the questionnaire-survey rather small in scale; therefore, findings have limited generalizability.

The findings can help supply chain managers gain a clearer understanding of the domain of big data and guide them in where to deploy big data initiatives.

This study is the first to assess big data in the SCOR process framework and to rank applications of big data as a mean to guide the SCM community to where big data is most beneficial.