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Research disputes whether family businesses are more or less innovative than their nonfamily counterparts. So far, no consistent results have been achieved. The recently introduced willingness and ability framework suggest that idiosyncratic behavior is only to be expected if both sufficiency conditions – willingness and ability – are fulfilled. The purpose of this paper is to test this hypothesis empirically.

A large cross-sectional sample of German small- and medium-sized enterprises is used. The sample offers – alongside numerous moderators commonly used in innovation research – several family firm definitions. Given the censored nature of the endogenous variable chosen, a Tobit model is used.

Drawing upon agency theory and the ability and willingness paradox in family firm innovation, it finds family firms to be less innovative only if both willingness and ability conditions are fulfilled.

To the best of the knowledge, the study provides the first attempt to test the willingness and ability theorem. Therefore, the commonly used family firm-specific measures (self-assessment-, ownership-, and management criterion) are operationalized to better understand what drives innovativeness in family firms. The findings thus add to the ongoing discussion on what really drives family impact on firm-level decisions.

The purpose of this paper is to review empirical studies on process mining in order to understand its use by organizations. The paper further aims to outline future research opportunities.

The authors propose a classification model that combines core conceptual elements of process mining with prior models from technology classification from the enterprise resource planning and business intelligence field. The model incorporates an organizational usage, a system-orientation and service nature, adding a focus on physical services. The application is based on a systematic literature review of 144 research papers.

The results show that, thus far, the literature has been chiefly concerned with realization of single business process management systems in single organizations. The authors conclude that cross-system or cross-organizational process mining is underrepresented in the ISR, as is the analysis of physical services.

Process mining researchers have paid little attention to utilizing complex use cases and mining mixed physical-digital services. Practitioners should work closely with academics to overcome these knowledge gaps. Only then will process mining be on the cusp of becoming a technology that allows new insights into customer processes by supplying business operations with valuable and detailed information.

Despite the scientific interest in process mining, particularly scant attention has been given by researchers to investigating its use in relatively complex scenarios, e.g., cross-system and cross-organizational process mining. Furthermore, coverage on the use of process mining from a service perspective is limited, which fails to reflect the marketing and business context of most contemporary organizations, wherein the importance of such scenarios is widely acknowledged. The small number of studies encountered may be due to a lack of knowledge about the potential of such scenarios as well as successful examples, a situation the authors seek to remedy with this study.

By studying the drivers of social collaboration the purpose of this paper is to describe how, and for what job-related purposes, social software is employed in the digital workplace. Focussing on consultants, who are considered to be part of a knowledge-intensive and innovative industry, factors that may influence the adoption of professional social software are explored. In addition, insights about socio-demographic differences as well as distinct consulting segments and use categories are provided.

The Unified Theory of Acceptance and Use of Technologies (UTAUT) is the theoretical backbone of this research. The UTAUT model is expanded to fit the research goals, and the results from a quantitative study (n=341) are used to test the model.

The results suggest that the adoption of social software is associated with the expectation that one’s work performance will improve. There are significant differences regarding age and gender in the use of social software for job-related purposes.

Using the results of the study, social software suites can be tailored to users’ needs and preferences, which, in turn, may lead to higher levels of acceptance and intensity of use.

Social software is already widely adopted for private purposes, and it is being used more and more within the digital workplace, too. However, little research has been conducted into how, and for what job-related purposes, social software is employed, or into the potential drivers for its adoption. The stakeholders in the research include scholars and practitioners alike.

This study aims to explore the barriers to upscaling the production capacity of the edible insect sector in the UK and to identify the impact of current regulation on the sector's development.

A significant proportion of edible insect-producing companies within the UK were identified through an online market research database and contacted via email to invite them to participate in this study. Phone interviews were conducted with ten companies. Thematic analysis was adopted for data analysis.

There were five themes identified as barriers to the upscaling of the production for the edible insect sector in the UK: insect feeding materials, production capacity, expertise and knowledge, new product development and regulatory uncertainty.

This research was based on a qualitative study. Further quantitative research is needed to test the extent of the impact of these five themes on upscaling production capacity. In addition to production capacity, marketing and consumers' acceptance, culture and behaviour can also be considered in future studies.

This study makes a significant contribution to the literature by providing insight on the barriers to upscaling production capacity in the edible insect sector.