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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.

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.

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.

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.

The purpose of this paper is to systematically assess the empirical support for central relationships in the empirical literature on foreign market entry mode. The reviewing method overcomes methodological limitations in past reviews.

This review provides a systematic assessment of empirical support through a simple quantitative procedure using transparent criteria for article selection. In total, 1,217 statistical tests from 119 studies published in 44 different scientific journals in the period 1997-2013 are examined across a range of dimensions.

Findings question the frequent use of commonly used measures (e.g. advertising intensity) and control variables (e.g. firm size) and suggest that statements about the importance of mode choice for subsidiary performance may be premature. Methodologically, this study identifies critical issues with regard to interpretation of interactions and the entry mode choice set.

This study limits itself to study the direction of relationships and does not analyze effect sizes. Further, future research may benefit from broadening the entry mode choice by extending the use of multiple outcome models as well as implementing the correct interpretational tools when investigating interactions.

The review is relevant to researchers seeking an overview over the research literature or practitioners interested in the link between mode choice and subsidiary performance.

The purpose of this paper is to address the meaning of food consumption practices in maintaining intergenerational relationships between young university students and their parents.

Student food consumption has been mainly studied through quantitative methods, treating students as a homogenous group, more or less living in a vacuum, and often with the focus on nutrition. This paper gives voice to young adults to unpack the significance of cooking and food consumption in relation to maintaining or changing family ties. The study is based on 12 qualitative interviews, five focus groups and a workshop, with Danish and international students in Denmark. Theoretically, the study draws on family, consumption and transition research.

The authors identify four realms of intergenerational relationships in the context of food. The relationships range from a wish either to maintain the status quo in the relationship, or to change and rethink the relationship, and importantly, the act of maintaining or changing the family relationships may be initiated either by the grown-up child or by the parent. The study concludes that the act of moving away from home is a period of intense (re)construction of food consumption habits and skills, which draw several threads back to the family home, and relationships undergo change in various ways.

The limitations of this study are that it has been carried out only in a Danish context.

The contributions of the study are capturing the children’s view of this transition, and providing insights into how apparently mundane consumption can be full of symbolic meaning. The paper will be of interest for researchers and practitioners seeking to understand intergenerational relations and consumption.

Information seeking can be used to make sense of a situation or solve a problem. Information seeking can be considered a coping strategy when facing illness, crisis or other life-changing events. Cancer is a globally occurring, life-threatening disease, and this review aims to provide an overview of the existing literature on the active information seeking behaviour of cancer patients specifically focussing on how active information seeking serves as a coping strategy.

This study adheres to current guidelines for conducting systematic reviews and consequently, thorough literature searches were conducted in four databases: Medline, Embase, CINAHL and Scopus which resulted in 7,179 publications. Following a careful screening process, this systematic review identifies 14 studies on the use of information seeking to cope with cancer.

The included studies consist of both qualitative and quantitative approaches to analysing the use of information seeking to cope with cancer. The included studies have focussed primarily on demographic factors, the impact of affect, information needs, sources and coping strategies.

A number of research gaps within library and information science are identified. Bringing research in this field into information science could allow for a greater understanding of information literacy, the use of existing information and the process of information searching when using information seeking to cope with serious illness.

This systematic review focusses on how information seeking serves as a coping strategy for cancer patients and provides an overview of the recent literature.

The need for innovations to achieve economically viable and green supply chains has been illuminated in recent literature. Closed‐loop supply chains are part of green supply chain management and include traditional forward supply‐chain activities as well as additional activities of the reverse supply chain. Extant supply chain literature calls for a chain perspective in order to avoid sub‐optimization in the chain since changes at one stage can affect the performance at other stages. The purpose of the paper is to analyze how implementation of green supply chain innovations can enhance value offerings along the supply chain.

This research is based on an explorative, single‐embedded case study of a food supply chain. The case is concerned with implementation of green supply chain innovation in terms of biogas technology. The single case comprises four actors in the food supply chain: a retailer, an industrial bakery, a mill, and a farmer. Data collection is based on semi‐structured interviews with persons responsible for sustainability in the respective companies.

The case demonstrates that in order to reach the full potential of a green supply chain innovation, the different supply chain actors must be included. What in isolation of one company's perspective is perceived as a waste can be transformed to a value when the problem area is analysed from a chain perspective.

The paper is based on a single case study that does not provide static generalizations, and it represents the first step on a road to building new theory about green supply chain innovations. Future research can expand the findings by elaborating upon cases of other types of supply chains and supply chain innovations.

The perception of waste in a supply chain can be changed through green supply chain innovations. This case illustrates how obsolete food products at the retail level, which traditionally have been perceived as a waste product with related discarding costs, can be regarded as a valued input by implementation of biogas technology at the industrial bakery company. As a result, other food supply chains can investigate similar solutions.

The paper provides a case that visualizes how value offerings along a food supply chain can be chased through green supply chain innovations. Furthermore, the paper applies a supply chain perspective not only conceptually but also empirically. By focusing on the interfaces between each main actor in the supply chain, this paper contributes to existing research with valuable knowledge of inter‐organizational issues related to challenges of supply chain innovation.