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The purpose of this paper is the development of a patent-based supplier portfolio that can be used to evaluate and select suppliers on account of their technological competencies.

In addition to traditional approaches, the authors develop a supplier portfolio that characterizes suppliers according to the similarity between supplier's and OEM's technological competencies as well as their technological broadness. These variables are measured on the basis of patents, which constitute a valuable source of information in technology-driven industries. Contrary to existing binary measurement approaches, the authors’ portfolio uses semantic analyses to make use of the specific information provided in the patents' texts. The authors test this method in the field of gearings, which is a key driver for the automotive industry.

The authors identify six generic positions, characterizing specific risks for an OEM to become either technologically dependent or dependent on suppliers' production capacities. For each position the authors develop specific management strategies in face of the aforementioned risks. The approach helps OEMs navigate in the competitive landscape based on the most recent and publicly available information medium.

This work explicitly applies the construct of technological competencies to supplier evaluation and selection on the basis of portfolio approaches. Furthermore, the authors improve the use of patents for supplier evaluation in two respects: First, the authors analyze OEMs and upstream suppliers on an organizational level. Second, the authors utilize advanced semantic analysis to generate variables for the measurement of the criteria mentioned above.

Identifying ideas for frugal innovations could substantially support engineers and managers in their work. Patents may be a promising source of ideas for frugal innovations. The purpose of this paper is to show how patents of this kind can be identified.

Prior work has developed a generic process model to identify frugal patent candidates. They use semantic analysis and a frugal thesaurus for searching and characterizing frugal patent candidates. The question is, whether and how this process model can be applied to a different industry successfully? The field of small household appliances is selected as a testbed because it is known for including frugal innovations while having a different business model than the industrial field in which the thesaurus was developed.

Applying the process model leads to a number of 22 strongly frugal patent candidates, which are manually evaluated based on three frugal characteristics. Due to this analysis, a high fraction of the candidates could be identified as frugal patents, which validates the process model. In addition, this paper outlines several options for enhancing the process model, e.g. by separating between a frugal search and a frugal evaluation thesaurus.

The process model to identify frugal patent candidates can be used by engineers and technology managers to find ideas for frugal innovations. This paper not only shows its applicability in the industry of small household appliances but gives the basis for its successful transfer to other industries.

The convergence of industries exposes the involved firms to various challenges. In such a setting, a firm's response time becomes key to its future success. Hence, different approaches to anticipating convergence have been developed in the recent past. So far, especially IPC co-classification patent analyses have been successfully applied in different industry settings to anticipate convergence on a broader industry/technology level. Here, the aim is to develop a concept to anticipate convergence even in small samples, simultaneously providing more detailed information on its origin and direction.

The authors assigned 326 US-patents on phytosterols to four different technological fields and measured the semantic similarity of the patents from the different technological fields. Finally, they compared these results to those of an IPC co-classification analysis of the same patent sample.

An increasing semantic similarity of food and pharmaceutical patents and personal care and pharmaceutical patents over time could be regarded as an indicator of convergence. The IPC co-classification analyses proved to be unsuitable for finding evidence for convergence here.

Semantic analyses provide the opportunity to analyze convergence processes in greater detail, even if only limited data are available. However, IPC co-classification analyses are still relevant in analyzing large amounts of data. The appropriateness of the semantic similarity approach requires verification, e.g. by applying it to other convergence settings.

The application of business process methods in the domain of disaster response management (DRM) is seen as promising approach due to the similarity of business processes and disaster response processes at the general structure and goals. But up to now only a few approaches were able to handle the special characteristics of the DRM domain. Thus, the purpose of this paper is to identify the existing approaches and analyze them for the discussion of general requirements for applying methods and tools from business process management to DRM.

A structured literature review covering a wide field of information system-related publications (conferences and journals) is used to identify and classify general requirements discussed as the state of the art.

The work in this paper resulted in a suitable classification of requirements for the development of process-oriented DRM approaches deduced from the existing work. This was used to outline and analyze the current research landscape of this topic and identify research gaps as well as existing limitations.

Although the review of the state of the art is based on a wide set of publication databases, there may exist relevant research papers which have not been taken into consideration.

The elaborated requirements provide value for both the research community and practitioners. They can be considered to develop new or improve existing DRM systems and, thus, to exploit the potentials of process-oriented IT in supporting DRM in the case of disaster.

Purpose: The current study aims to cast light on the divide between academic research in management accounting and its applicability to practice by examining, from the standpoint of nursing, how this gap is perceived and what challenges may be involved in bridging it.

Design/Methodology/Approach: The current study compares the findings of Tucker and Parker (2014) with both quantitative as well as qualitative evidence from an international sample of nursing academics.

Findings: The findings of this study point to the differing tradition and historical development in framing and addressing the research–practice gap between management accounting and nursing contexts and the rationale for practice engagement as instrumental in explaining disciplinary differences in addressing the research–practice gap.

Research Implications Despite disciplinary differences, we suggest that a closer engagement of academic research in management accounting with practice “can work,” “will work,” and “is worth it.” Central to a closer relationship with practice, however, is the need for management accounting academics to follow their nursing counterparts and understand the incentives that exist in undertaking research of relevance.

Originality/value: The current study is one of the few that has sought to look to the experience of other disciplines in bridging the gap. Moreover, to our knowledge, it is the first study in management accounting to attempt this comparison. In so doing, our findings provide a platform for further considering how management accounting researchers, and management accounting as a discipline might, in the spirit of this study’s title, “Learn from the Experience of Others.”

Through a juxtaposition of social capital with two other forms of intellectual capital – human capital and organizational capital – the author proposes and tests a framework that sets social capital apart as the main driver of innovations that contribute subsequent technical value to the innovating organization.

This study uses data collected from the United States Patent and Trademark Office (USPTO) for measurement of the key variables. Specifically, the analysis includes all 117 innovations patented under the thermal inkjet printing subclass that were issued in the twenty years following the establishment of that specific subclass in 1980. The author also collected additional data on the individuals and organizations listed on each patent.

The results of the analysis show that all intellectual capital is not the same and that social capital resulting from collaborative relationships among inventors has significantly more positive influence on the retained technical value of an innovation than organizational or human capital.

Rather than tout the primacy of individual intelligence to the generation of valuable innovation, this research suggests that it is preferable to bring together a group of inventors with narrow individual scientific expertise who instead rely on broad collaboration networks as a flexible source of diverse knowledge.

This research addresses an area of innovation research that has not been adequately explored – how do different forms of intellectual capital affect the value the resulting innovation has to the innovating organization?