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Purpose – This chapter examines how sentiment analysis and web-crawling technology can be used to conduct large-scale data analyses of extremist content online.

Methods/approach – The authors describe a customized web-crawler that was developed for the purpose of collecting, classifying, and interpreting extremist content online and on a large scale, followed by an overview of a relatively novel machine learning tool, sentiment analysis, which has sparked the interest of some researchers in the field of terrorism and extremism studies. The authors conclude with a discussion of what they believe is the future applicability of sentiment analysis within the online political violence research domain.

Findings – In order to gain a broader understanding of online extremism, or to improve the means by which researchers and practitioners “search for a needle in a haystack,” the authors recommend that social scientists continue to collaborate with computer scientists, combining sentiment analysis software with other classification tools and research methods, as well as validate sentiment analysis programs and adapt sentiment analysis software to new and evolving radical online spaces.

Originality/value – This chapter provides researchers and practitioners who are faced with new challenges in detecting extremist content online with insights regarding the applicability of a specific set of machine learning techniques and research methods to conduct large-scale data analyses in the field of terrorism and extremism studies.

Family firms (FF) reveal a considerable heterogeneity in their innovation behavior. Due to the successful long-term preservation of their innovation capacity via special resources and routines, multi-generational FF are of special interest in terms of learning from good practices. Against this background, the purpose of this paper is to ascertain principles for successful innovation behavior in long-term successful FF and to contribute to bridging the theory-practice gap.

Results are generated by analyzing innovation and innovation processes in five cases of long-term successful FF. On the basis of these good practice cases, the “rules of the game” of innovating are re-constructed using fine and system analyses based on narrative interviews with the FF CEOs.

Intense reflection on the innovation characteristics of the five good practice cases along with a critical examination of the literature on innovation in FF were used to derive practical suggestions for FF in the form of 11 principles for FF taking a proactive interest in innovation.

The 11 generated principles of successfully innovative FF were validated by FF CEOs who confirmed the practical relevance of these principles as valuable guidelines for successful innovation. Owners and managers may reflect on these principles against the background of the innovation behavior of their firms and adapt them to their contextual conditions.

These principles serve as tangible suggestions for developing adequate innovation management strategies for individual FF. Furthermore, two FF CEOs were invited to comment on the viability of principles based on their comprehensive practical experience.

Performance feedback about whether responses are correct or incorrect provides valuable information to help guide learning. Although feedback itself has no extrinsic value, it can produce subjective feelings similar to “rewards” and “punishments.” Therefore, feedback can play both an informative and a motivational role. Over the past decade, researchers have identified a neural circuit that processes reward value and promotes reinforcement learning, involving target regions of dopaminergic input (e.g., striatum and ventromedial prefrontal cortex). Importantly, this circuit is engaged by performance feedback even in the absence of reward. Recent research suggests that feedback-related brain activity can be modulated by motivational context, such as whether feedback reflects goal achievement, whether learners are oriented toward the informative versus evaluative aspect of feedback, and whether individual learners are motivated to perform well relative to their peers. This body of research suggests that the brain responds flexibly to feedback, based on the learner’s goals.

The purpose of this paper is to explore the association between local entrepreneurs’ perception of the city’s decline and their place attachment (measured in terms of commitment to the declining city and sense of how the declining city compares to other cities).

The authors surveyed entrepreneurs in a relatively small sample (N = 105) from a declining city of about 78,000 residents in the USA.

The authors found significant inverse correlations and found that, after controlling for length of residency, the entrepreneur’s perception of the city’s decline predicted lower place attachment. The authors also tested a moderation hypothesis and observed that, whereas professional-service entrepreneurs with both stronger and weaker perceptions of the city’s decline showed similar place attachment, non-professional entrepreneurs showed significantly more variation, displaying both the highest place attachment when weak in perceptions of the city’s decline and the lowest place attachment when strong in perceptions of the city’s decline.

The authors discuss implications for place attachment, place image and place branding research, as well as for the study of place context’s effects on entrepreneurship.

Results hold implications for place branding’s participative development and for reasons to expect some difficulty in place branding when the context is a declining city.

Relative to prior research in place management, the research features a neglected segment of the city’s population, business owners, to study place attachment. Relative to prior entrepreneurship research, the authors advance the study of context’s effects on entrepreneurship by extending it to the place context of declining cities, which are not usually featured in entrepreneurship studies.

New sustainability certification schemes (SCS) with different scope, governance structure and operating practice are fast emerging. This rapid growth and divergence in metrics has resulted in questions about the effectiveness of such schemes. Although this practice has been growing fast, to date, there are no reviews comprehensively synthesising the literature regarding SCS’ main flaws, challenges and improvement opportunities. This paper aims to identify what are the key components affecting effectiveness of SCS, highlighting their benefits, flaws and improvement opportunities.

An integrated literature review was conducted to identify and assess recent studies related to the benefits, flaws, effectiveness and improvement opportunities of SCS worldwide.

Key components affecting the effectiveness of SCS were identified (sustainability awareness; market access; management systems and productivity; social, environmental and economic impacts; monitoring outcomes; competition, overlapping and interoperability; stakeholder participation; and accountability and transparency). The authors argue that SCS to succeed have to be effective; provide accountability about their goals and achievements; and manage stakeholders’ expectations. Civil Society’s awareness of the scientific underpinnings of sustainability issues also contributes to the existence and improvement of such schemes.

The limitations of this study are associated with the secondary material that was publicly available for our literature review.

This paper fulfils an identified need to explore the key components affecting effectiveness of SCS, their benefits, flaws and improvement opportunities. Such a synthesis also identifies the key areas where interoperability between SCS should be pursued by corporations and governments.

To ensure product quality within a manufacturing process, inspection processes are indispensable. One task of inspection planning is the selection of inspection characteristics. For optimization of costs and benefits, key characteristics can be defined by which the product quality can be checked with sufficient accuracy. The manual selection of key characteristics requires substantial planning effort and becomes uneconomic if many product variants prevail. This paper, therefore, aims to show a method for the efficient determination of key characteristics.

The authors present a novel Algorithm for the Selection of Key Characteristics (ASKC) based on an auto-encoder and a risk analysis. Given historical measurement data and tolerances, the algorithm clusters characteristics with redundant information and selects key characteristics based on a risk assessment. The authors compare ASKC with the algorithm Principal Feature Analysis (PFA) using artificial and historical measurement data.

The authors find that ASKC delivers superior results than PFA. Findings show that the algorithms enable the cost-efficient selection of key characteristics while maintaining the informative value of the inspection concerning the quality.

This paper fills an identified gap for simplified inspection planning with the method for the efficient selection of key features via ASKC.

The purpose of this paper is to expand the empirical literature on the association between non-compete agreement (NCA) enforceability and entrepreneurship by investigating how NCA policies affect different types of entrepreneurship with incorporated and unincorporated businesses.

The authors estimate difference-in-differences regressions based on individual-level data. This allows to control for heterogeneity at the individual level. Additionally, the authors provide graphical evidence using the synthetic control method (SCM).

The authors' findings show that the decrease in the enforceability of NCAs in Massachusetts resulted in a higher rate of unincorporated entrepreneurship among low-wage workers. At the same time, there was no sizable effect on the rate of incorporated entrepreneurship. For Utah, the authors' results indicate that the reform increased both types of entrepreneurship. The findings imply that states can promote entrepreneurial activity by reducing the enforceability of NCAs. The way of changing the enforceability of NCAs matters, as different provisions encourage different types of entrepreneurship in a given state.

The authors contribute to the literature on NCA enforceability effects on entrepreneurship in three ways. First, the authors utilize two quasi-experiments, the NCA policy changes in Utah in 2016 and Massachusetts in 2018, limiting NCAs to one year for all workers. Second, to the authors' knowledge, this is the first individual-level analysis that separates self-employment with incorporated and unincorporated businesses as two different types of entrepreneurship to analyze potentially heterogeneous effects of NCAs. Third, this is the first study to utilize American Community Survey (ACS) data in this literature.

THE Fabian Society has recently issued, at one shilling, a booklet by Mr Frank Beswick, m.p., entitled ‘Plan for the Aircraft Industry’ which we have decided to use as the theme for some musings this month.