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The purpose of this paper is to highlight INKtelligent printed sensor structures using maskless depositition technologies.

This paper begins with a general introduction to INKtelligent printing^®. Starting with layout and ink development, the fabrication of printed sensors is described in detail.

Printed strain gauges, thermopiles and gas sensitive films are successfully fabricated with maskless deposition technologies, offering advantages for continuous non‐destructive measurement compared to conventional sensors.

This paper shows a new approach for customized sensor structures. The application of a resource efficient and flexible printing technique for sensor fabrication is demonstrated.

Pay-for-performance (P4P) as an innovation for improved health care has been introduced in many health systems worldwide. The aim of this article is to apply and refine a specific theoretical angle for the analysis of these reforms, the theoretical frameworks of public policy instruments and programmatic actors, in order to highlight differences between countries.

This analysis is based on a comparative case study of the introduction of P4P in France and Germany in the ambulatory sector for the period from 2007 until 2017. This included a literature review and semi-structured interviews with 23 actors between 2013 and 2015.

The introduction of a supposedly clear-cut policy instrument – P4P in health care – is distinctly shaped by the intertwined configuration of institutional architecture and the policy programme of key system actors. This can be understood as a continuation of long-term transformations, most importantly the increasingly direct influence of the state and a weakening of the representation of the medical profession, as well as an internal fragmentation of the latter.

This analysis illustrates the applicability of the policy instrument approach to the heath sector. In addition, the authors have applied the dual perspective of policy instruments and programmatic actors. Both proved complementary and appropriate for the study of a highly technical instrument such as P4P.

The purpose of this paper is to estimate the direct effects of foreign direct investment (FDI) on domestic target firms’ profitability gains, in India, post-acquisition. In particular, it focuses on identifying the importance of firms’ heterogeneities on the effects, taking into account the source of FDI, the intensity of firm interaction, and the target firms’ technology-absorptive capacity. Most importantly, the paper investigates whether the estimates depend on a combined rather than single impact of these heterogeneities.

To control for the possibility of selection bias and endogeneity, this empirical analysis uses a methodology that combines propensity score matching and difference-in-differences (PSM–DID) in adopting a comprehensive data set of both foreign- and Indian-acquired firms that were purchased through mergers and acquisitions in India between 1991 and 2013.

The analysis reveals four major findings. First, overall, the post-foreign acquisition target firms’ performance gains were positive and varied by the heterogeneous technology transfer capacity of the foreign investor. Second, it is possible that target firms located in industrial clusters with more foreign agglomeration experienced larger profitability gains through more dynamic firm interactions in terms of spillovers. Third, Indian targets with higher technology-absorptive capacity benefitted in higher profitability gains from acquiring and assimilating the superior technology that is transferred from foreign investors. Finally, an optimal combination of Indian target firms with higher technology-absorptive capacity and foreign investors with higher technology transfer capacity maximizes profitability gains, post-acquisition. This synergy effect is particularly prominent in clusters where more foreign firms agglomerate.

This study captures the true direct effect of FDI by adjusting the combined causal effects of various inherent heterogeneities in the target firms’ performance, thus correcting any possible bias, which few previous studies have addressed.

The purpose of this paper is to explore how intra-industry strategic alliances (SAs) seek to assess supplier risk related to sustainability, what motivation drives single members to form or join such an SA, and how such a joint endeavor affects supplier risk management.

An embedded single case study with multiple units of analysis was conducted. The main data were collected through semi-structured interviews with key respondents from seven leading chemical companies, three of which were founding members of the SA, while four were new members.

This paper shows that forming/joining an SA concerning sustainability-related supplier risk assessment, results in the reduction of task uncertainty and equivocality as well as the increase of information processing capacities. Based on the implemented sharing routines, a higher overall efficiency can be achieved. Moreover, the members benefit from an enhanced identification of varying stakeholder expectations, a facilitated capability building and a more comprehensive supplier risk assessment. In particular, the joint endeavors result in assessment processes of higher robustness, which provide outcomes of higher quality.

This paper is the first to investigate companies’ efforts toward improving their supplier risk management in the area of sustainability by establishing/joining an intra-industry SA. By providing insights into the motivation to form or join such a collaborative platform and illustrating the effects that arise from the SA’s work from an organizational information processing perspective, it provides a contribution to both academics and managerial practice.

Retail investors use information provided by mutual fund rating agencies to make investment decisions. This paper aims to examine whether the ratings provide useful information to retail investors by analyzing the rating migration and closure risk of mutual funds that received Morningstar’s mutual fund ratings from 2005 to 2012.

The research design differentiates between buy-and-hold investment strategies and dynamic investment strategies. To assess the information content of mutual fund ratings for buy-and-hold investment strategies, the rating migration based on the first and the last mutual fund rating during two-, four-, six- and eight-year horizons is determined. With respect to dynamic investment strategies, the number of rating changes per fund on a monthly basis during these time horizons is calculated.

Mutual fund rating persistence is low or even inexistent, in particular, during longer time periods. Only for lower-rated funds, the rating appears to indicate higher risk of fund closure. In addition, mutual funds face a large number of up to 38 monthly rating changes in the eight-year window.

Mutual fund rating persistence has hardly been analyzed for funds offered to retail investors so far. This paper clearly points out that because of the extensive rating migration and the high number of monthly rating changes, retail investors barely benefit from using mutual fund ratings.

The purpose of this study is to examine how the pressures from stakeholders located in company's country of origin and level of internationalization of the company influence the implementation of socially responsible supply chain management (SR-SCM) practices.

To assess this level of influence, an SR-SCM performance index is developed by building on existing theoretical frameworks and using secondary data from ThomsonReuters’ WorldScope and ASSET4 databases to capture responsible supply chain actions categorized in communication, compliance and supplier development strategies. The analysis is based on 1,252 international companies from diverse countries and sectors between 2007 and 2016.

The effectiveness of stakeholder pressures in facilitating the adoption of socially responsible practices varies greatly with regard to the strategic element of SR-SCM and the type stakeholders considered. Companies that are more internationalized tend to adopt a greater number of SR-SCM practices, whereas home country stakeholders are of diminishing relevance with the increasing internationalization of a company.

Governments in companies’ countries of origin should ensure that social issues in supply chains are adequately covered by regulations. Ideally, laws should not only cover firms’ domestic operations but also their global activities.

Citizens should be given the opportunities to raise their voice and publicly express their disagreement with business misconduct and non-compliance. Apart from that, the role of workers’ associations and investors in the social sustainability debate should be strengthened.

This study contributes to SR-SCM theory development by operationalizing existing conceptual frameworks, showing how domestic stakeholders shape SR-SCM performance and analyzing whether the influence of certain stakeholder groups diminishes or increases when a company is more globally-oriented in its operations.

The coronavirus disease 2019 (COVID-19) pandemic unveiled resilience deficits in supply chains. Scholars and practitioners aim to identify supply chain resilience (SCRES) measures suitable for this unique disruption; however, empirical evidence on a pandemic's specific characteristics, resulting challenges, and suitable countermeasures is scarce.

A single-case study on an automotive supply chain network (ASCN), including eight nodes, was conducted. Based on current research and interviews with 35 experts, characteristic pandemic challenges for the ASCN were identified. Moreover, promising SCRES measures were determined along the most prominent SCRES levers. The findings lead to five central propositions and advance organizational information processing theory in the context of SCRES.

This study’s results confirm unique pandemic characteristics along the supply chain disruption's duration, severity, propagation, and volatility. The resulting unprecedented challenges made the ASCN apply novel SCRES measures, particularly regarding collaboration and risk management culture. However, well-known visibility and flexibility strategies were also suitable. Overall, agility and collaboration measures showed the highest capacity to address characteristic pandemic challenges. A lack of preparedness impeded some measures' application, calling for enhanced proactive risk management following the pandemic.

This paper addresses several research calls by providing in-depth empirical evidence on hitherto conceptually researched pandemic characteristics, challenges, and suitable SCRES measures from a network perspective. The study uncovers the different perceptions of individual tiers, emphasizing the need to analyze supply chain disruptions from multiple angles.

The purpose of this study is to explore the potential for the development of a country logistics performance assessment approach based upon textual big data analytics.

The study employs design science principles. Data were collected using the Global Perspectives text corpus that describes the logistics systems of 20 countries from 2006–2014. The extracted texts were processed and analysed using text analytic techniques, and domain experts were employed for training and developing the approach.

The developed approach is able to generate results in the form of logistics performance assessments. It contributes towards the development of more informed weights of the different country logistics performance categories. That said, a larger text corpus and iterative classifier training is required to produce a more robust approach for benchmarking and ranking.

When successfully developed and implemented, the developed approach can be used by managers and government bodies, such as the World Bank and its stakeholders, to complement the Logistics Performance Index (LPI).

A new and unconventional approach for logistics system performance assessment is explored. A new potential for textual big data analytic applications in supply chain management is demonstrated. A contribution to performance management in operations and supply chain management is made by demonstrating how domain-specific text corpora can be transformed into an important source of performance information.

This paper was formulated to address the impact of different individual decision modes on purchasing managers' satisfaction and find out whether different environments could influence the strength of the relationship between the sourcing managers' individual modes and their decisions.

A new model was built based on the variables selected from literature. Two identical surveys were sent to manufacturing firms in China and Egypt. Around 450 questionnaires have been sent to respondents, and about 300 responses have been collected in the two countries.

The key findings of this study showed that although the influence of decision modes is not changeable across decision-makers in different markets' environment, the strength of the relationship between different individual decision modes and the buying decision significantly differed across different dynamic task environments of buyers.

The research in this paper focused on the purchasing managers' individual decision-making. On the other hand, purchasing managers' market environment is rarely recognized as a main factor affecting their decisions. Furthermore, this research tries to understand more about the supplier selection decision-making in Eastern Asian and Middle Eastern countries.