Blockchain in Additive Manufacturing and its Impact on Supply Chains

Additive manufacturing (AM) appears to be a particularly attractive use case for blockchain. This research combines inductive in‐depth interviews with the Delphi method to explore what potentials blockchain technology in AM creates, which adoption barriers firms need to overcome, and how supply chains will be affected by the integration of these two potentially disruptive technologies. The results suggest opportunities that are related to intellectual property (IP) rights management, the monitoring of printed parts throughout their lifecycle, process improvements, and data security. The most important barriers for blockchain adoption in AM are an absence of blockchain‐skilled specialists on the labor market, missing governance mechanisms, and a lack of firm‐internal technical expertise. By addressing important limitations of AM, blockchain is expected to improve the competitiveness of AM in parts’ production, catalyzing the trend toward more decentralized manufacturing resulting in more agile, resilient, and flexible supply chains and reduced logistics costs. Beyond that, blockchain‐based AM platforms are expected to enhance supply chain visibility, drive supply chain digitalization, support supply chain finance, and contribute to the emergence of shared factory systems.     

Human resource management practices and voluntary turnover: a study of internal workforce and external labor market contingencies

We tested relationships between employee quit rates and two bundles of human resource (HR) practices that reflect the different interests of the two parties involved in the employment relationship. To understand the boundary conditions for these effects, we examined an external contingency proposed to influence the exchange-based effects of HR practices on subsequent quit rates – the local industry-specific unemployment rate – and an internal contingency proposed to shape employees’ conceptualization of their exchange relationship – their employment status (i.e. full-time, part-time and temporary employment). Analyses of lagged data from over 200 Canadian establishments show that inducement HR practices (e.g. extensive benefits) and performance expectation HR practices (e.g. performance-based bonuses) had different effects on quit rates, and the former effect was moderated by unemployment rate. The effects of HR practices on quit rates did not differ between FT and PT employees, but a different pattern of main and interactive effects was found among temporary workers. These findings suggest that employees’ exchange-based decisions to leave may be less affected by the number of hours they expect to work each week, and more by the number of weeks they expect to work.     

Models for which the MLE and the conditional MLE coincide

The MLE, CMLE and MMLE coincide in a linear regression model with fixed individual effects. In this case, there is no incidental parameters problem and the MLE is consistent. The equivalence of these estimators is important because CMLE=MLE implies both the consistency of the MLE and the efficiency of the CMLE. In general, we cannot expect to find a CMLE or MMLE, since there may be no fixed-dimension sufficient statistic for the effects, nor an appropriate transformation of the data whose distribution does not depend on the effects. However, we show that the MLE, CMLE and MMLE do coincide in systems of seemingly unrelated regressions and in systems of simultaneous equations. We establish this result for systems in which (exogenous) variables in addition to (or other than) the intercept may have coefficients which vary over individuals, provided that the set of such variables is the same in every equation.The financial support of the National Science Foundation is gratefully acknowledged.     

Fairness in the Mail and Opportunism in the Internet: A Newspaper Experiment on Ultimatum Bargaining

Abstract. On 11 May 2001, readers of the Berliner Zeitung were invited to participate in an ultimatum bargaining experiment played in the strategy vector mode: each participant chooses not only how much (s)he demands of the DM1,000 pie but also which of the nine possible offers of DM100, 200, …, 900 (s)he would accept or reject. In addition, participants were asked to predict the most frequent type of behavior. Three randomly selected proposer–responder pairs were rewarded according to the rules of ultimatum bargaining and three randomly chosen participants of those who predicted the most frequent type of behavior received a prize of DM500. Decisions could be submitted by mail, fax or via the internet. Behavior is described, statistically analyzed and compared to the usual laboratory ultimatum bargaining results.     

Outsourcing and trade in a spatial world

This paper provides an analysis of outsourcing and trade in a spatial model à la Hotelling. In this setting, we discuss the trade-off between transport-cost-related disadvantages and outsourcing-related production cost advantages of a large economy and we investigate how the existence of national transport costs influences both the structure of industrial production and the pattern of final goods trade. In addition, the model gives a rich picture of the possible welfare effects of trade liberalization. In particular, we show that a final goods exporting country definitely gains from economic integration, while a final goods importing country may lose. Finally, when lowering domestic outsourcing activities, trade liberalization may reduce world welfare, even if pro-competitive effects lead to a decline in consumer prices.     

Investigating industry context effects in consumer-firm relationships: Preliminary results from a dispositional approach

Few, if any, past studies have attempted to develop a model to capture and explain industry context variability and hypothesize its effects on consumer-firm relationships. Generally, industry effects are ignored, described, or explained post hoc. Using the notion of consumers' dispositions toward a market, a framework is proposed for understanding the influence of industry context on consumer satisfaction, trust, value, and loyalty in relational exchanges. The empirical results of a survey in two service industries show that industry contexts matter and yield significant direct and moderating effects on consumer-firm relationships. The study underscores the promise of a dispositional approach for providing insights for the theory and practice of relationship marketing, resolvin goutstanding questions, and proposing fruitful areas for further examination. Edwin Nijssen, Ph.D., is a professor of marketing at the Nijmegen School of Management at the University of Nijmegen, the Netherlands. His research interest focuses on strategic and international marketing issues, relationship marketing, brand management, and new-product development. He has published inLong Range Planning, theJournal of Product Innovation Management, Technology Forecasting and Social Change, R&D Management, Industrial Marketing Management, and theJournal of International Marketing and has written several books on marketing strategy. Jagdip Singh, Ph.D., is a professor of marketing at the Weatherhead School of Management at Case Western Reserve University. His primary areas of research include consumer dissatisfaction and trust, measurement issues—including relationships between theoretical concepts and empirical observations— and the effectiveness of boundary role personnel. He has published in theJournal of Marketing, theAcademy of Management Journal, theJournal of the Academy of Marketing Science, Behavioral Research in Accounting, andManagement Science, among others. Deepak Sirdeshmukh, Ph.D., is a visiting assistant professor of marketing at the Weatherhead School of Management at Case Western Reserve University. His primary areas of research include consumer trust and consumer processing of brand information. He has published in theJournal of Marketing, theJournal of Marketing Research, theJournal of Consumer Research, theJournal of the Academy of Marketing Science, and theJournal of Consumer Psychology, among others. Hartmut H. Holzmüeller, Ph.D., is a professor of marketing at the School of Business at Dortmund University, Germany. His research interests include cross-national consumer research and customer relationship marketing. Most of his work has been published in German. His articles also appeared in theJournal of International Marketing, Management International Review, andInternational Business Review.     

Intra-industry trade with multinational firms

Recent developments, including the analysis of firm-level adjustment to falling trade costs, have contributed to a revival of interest in intra-industry trade (IIT). Most empirical work still relies on the standard Grubel-Lloyd measure. This however refers only to international trade, disregarding income flows stimulated by repatriated profits of multinational firms. Given the overwhelming importance of the latter, this is a major shortcoming. This paper provides a guide to measurement and estimation of the determinants of bilateral IIT shares from the perspective of new trade theory with multinational firms. We develop an analytically solvable general equilibrium model to investigate the impact of investment costs, multinational activities and income flows from repatriated profits. We also discuss and quantify the bias of the Grubel-Lloyd index associated with repatriated profit flows of multinationals. Using bias-corrected versions of the Grubel-Lloyd index as the dependent variable, we demonstrate that the determinants motivated by our theoretical analysis offer important insights into variations in IIT shares.