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Purpose – This chapter explores the rationale for foreign companies to have a political strategy and how these companies are politically active in a small, open and regionally integrated economy. The reasons why companies are engaged in corporate political activities are tied to the rationales for corporate political actions but are also interrelated with the question of how effective is the selected corporate political approach in the institutional environment of a host country. The approach of political corporate activities is based on the relational and transactional approaches.

Design/methodology/approach – This chapter is largely exploratory and focuses on a non-American political context. The evidence is coming from the foreign firms operating in the chemical sector of a small, open and regionally integrated economy, the Netherlands, which is part of the larger economic entity the European Union (EU). In-depth interviews were conducted with general managers of foreign-owned firms because they could provide most insight into the political strategies of their subsidiary. The data collected through the interviews were analysed using content analysis, by using four entities of analysis: analysis on words, sentences, fragments or themes.

Findings – Empirical evidence shows a strong transactional predisposition among the political activities of foreign firms as a result of the red tape bureaucratic Dutch system. On a standalone basis, the small foreign firms did not consider that they have the power to influence political decision making in any way. The majority of firms are member of an industry association. These associations interact with political decision makers in the Netherlands on behalf of these firms.

Originality/value of chapter – This chapter takes a foreign firm-specific level of analysis on corporate political strategies approach in a host institutional environment, which is generally more researched at multinational enterprises level. The Netherlands, with a small, open and regionally integrated economy, represents a totally different setting than the pluralist country, in particular the American one, and therefore, the existing American based literature on political strategies will be less representative for this corporatist country. The design choice and the effect of the approach of political strategies implemented by the foreign firms are affected by the specific host institutional environment.

While inter-organizational collaboration concerns processes of organizing between firms, it is always initiated and enacted by individual people who perceive a need for collaboration. This chapter takes the perspective of these actors and their efforts to seek collaboration as they pursue an agenda for change. Collaboration processes are thus conceptualized as path creation and internal strategizing. The chapter focuses specifically on how actors sell the need for collaboration internally and how they draw on their external network to promote change. It illustrates this process of issue selling and collaboration with six case studies in the area of new product development, new forms of network governance, and network-wide change of business practices. Comparing these more or less successful trajectories highlights the relevance of the relational context in issue selling, the role of intentionality within emerging processes, and interplay between external collaboration and internal strategizing.

Professional touching behavior (PTB), defined as intentional touching behavior that occurs between organizational members and that falls within the boundaries of appropriateness and professionalism in the workplace, is prevalent in organizations. Scholars from multiple disciplines, including human resources researchers, have acknowledged the importance of physical contact for facilitating interpersonal communication and relationship-building. However, PTB may not only elicit positive reactions from those who receive it but also negative reactions as well, with implications for social dynamics in organizations. PTB can, on the one hand, fulfill employees’ desires for interpersonal connection; at the same time, such physical contact at work can represent a threat to employees’ health. To explain the nature and implications of these divergent effects of receiving PTB, the authors draw upon sociometer theory and behavioral immune system (BIS) theory to model the emotional, cognitive, and physiological processes via which, and the conditions under which, receiving such behavior will result in socially functional responses and prompt subsequent prosocial behavior, and when PTB will be perceived as a health risk and prompt withdrawal behavior. The theoretical framework of this chapter expands our conceptual understanding of the consequences of interpersonal physical contact at work and has important human resources management (HRM) implications for organizational managers.

The Internet of Things (IoT), as one of the new digital technologies, has created wide applications in various industries, and one of the most influential industries of this technology is the transportation industry. By integrating the IoT with the transportation industry, there will be dramatic changes in the industry, and it will provide many entrepreneurial opportunities for entrepreneurs to develop new businesses. Opportunity identification is at the heart of the entrepreneurial process, and entrepreneurs identify innovative goods or services to enter a new market by identifying, evaluating, and exploiting opportunities. Despite the desire of transportation managers to invest in the IoT and the increase in research in this area, limited research has focused on IoT-based entrepreneurial opportunities in the transportation industry. Therefore, the present study aims to identify IoT-based entrepreneurial opportunities in the transportation industry and examine their importance.

To achieve the research objective, the authors applied a mixed approach. First, adapting the lens of the industry value chain theory, a comprehensive literature review, besides a qualitative approach including semi-structured interviews with experts and thematic analysis, was conducted to identify the entrepreneurial opportunities. The identified opportunities were confirmed in the second stage using a quantitative survey method, including the Student t-test and factor analysis. Finally, the identified opportunities were weighted and ranked using the best worst method (BWM).

Entrepreneurial opportunities are classified into five main categories, including “smart vehicles”, “business partners/smart transportation supply side”, “supporting services”, “infrastructures”, and “smart transport management and control”. The infrastructures group of opportunities ranked the highest amongst the identified groups.

This study adds to the digital entrepreneurship opportunity recognition literature by addressing opportunities in a smart industry propelled by digital technologies, including developing new products or new applications of the available technologies. Additionally, inspired by the industry value chain theory, this article develops a framework including various digital entrepreneurial opportunity networks which are necessary to add value to any industry and, thus, could be applied by entrepreneurs to recognize opportunities for new intermediaries to enter other digital-based industries. Finally, the present study identifies the IoT-based entrepreneurial opportunities in the smart transportation industry and prioritizes them, providing practical insights regarding the creation of entrepreneurial ecosystems in the field of smart transportation for entrepreneurs and policymakers.

How is strategic consensus formed in top management team (TMT)? Prior literature provides inadequate evidence. A few scholars explore its antecedents from some perspectives (e.g. organizational or team structure) to address this gap but yield confusing results. This study aims to clarify the mechanism to reach TMT strategic consensus and explore both the effect of collective team identification and information elaboration.

Stepwise regression analysis is applied to explore the formation process of strategic consensus by using data collected from 126 TMTs of Chinese firms.

Results show that collective team identification has a positive effect on TMT strategic consensus, whereas information elaboration has a U-shaped effect. Further, the U-shaped relationship between information elaboration and TMT strategic consensus is strengthened by collective team identification.

This study provides a nuanced explanation of the antecedents of strategic consensus in TMT by exploring the effects of collective team identification and information elaboration. Particularly, this study proposes a U-shaped relationship between information elaboration and strategic consensus, which enriches TMT decision-making literature and consensus research. Moreover, by examining the moderating effect of collective team identification, this study articulates why TMT members fail to achieve strategic consensus even when they have sufficiently discussed the task-relevant information.

Based on the theory of dynamic capabilities, the purpose of this study is to examine how generation influences the effect of innovation capability on family business performance. To achieve this purpose, a moderation model is tested using the generational level as the moderating variable.

This study used a sample of 106 family businesses CEOs who were surveyed by mail using the Limesurvey 2.5 platform. The results obtained were analyzed using the second-generation partial least squares (PLS) structural equation model. The MICOM (Measurement Invariance of Composite Models) approach was used to analyze the moderating effect.

This research sheds lights on the innovation capacity to influence the family businesses performance, and on the generational level moderating this effect. As a result, the influence of the innovation capacity in second generation family businesses performance is higher than in the first generation.

This study reveals the influence that the generational level has on the effect of innovation capacity on the family business performance. A greater dispersion of ownership, more participatory decision-making, and greater CEOs commitment to leadership in second- and later-generation family businesses, are the main key drivers of this result.

In comparison to previous studies, this research provides insights into the moderating effect of the generational level on the influence of innovation capacity on the family businesses performance through the MICOM approach (Measurement Invariance of Composite Models).

The purpose of this study is to investigate the effects of open innovation, especially focusing on technological M&A, on subsequent innovation and changes to the firm’s core technological portfolio.

The study suggests three types of core technological areas, based on prior focus and experience in technological categories. These are 1) the existing core area, in which the acquirer firm retains its knowledge and expertise, 2) the enhanced core area, where knowledge and expertise in the acquirer firm’s insufficient areas are strengthened, and 3) the new core area, i.e. new knowledge fields in which the acquirer firm ventures into. The study then analyzes the effects of two key knowledge characteristics of the target firm, similarity and complementarity, on post-M&A innovation outcomes in each of the three core technological areas.

The results confirm that while none of the investigated knowledge characteristics of the target firm is advantageous for post-M&A innovation outcomes in existing core areas, similarity of the target firm does facilitate post-M&A innovation outcomes in enhanced core areas. Moreover, the results confirm that complementarity of the target firm is beneficial for post-M&A innovation outcomes in new core areas.

The study explains the reconfiguration mechanism of a firm’s core technological portfolio. It also suggests an extended framework to analyze innovation outcomes in more detail. Moreover, the study helps to explain why most M&As result in failure.

While the field of criminology is rooted in sociological tradition, biosocial criminology has emerged as a promising perspective in studying antisocial behaviors. This perspective encompasses the research from other scientific disciplines, namely behavioral genetics and molecular genetics. At its core, biosocial criminology views criminal behavior as a function of both the social environment as well as biological/genetic factors. This chapter will provide a description of the prominent methodologies used in behavioral genetics and molecular genetics, a review of the empirical research, an overview of some of the statistical and methodological issues, as well as a discussion on the potential avenues for future research.

This study aims to examine the mechanisms underlying social media commerce by investigating the interplay between platforms, people and information. Drawing upon trust transfer theory, the research model proposes that the platform’s information provision enhances the credibility of the information source, leading to increased information usefulness, adoption and sharing, ultimately influencing purchase intention.

The research design used in this study was a quantitative approach using a cross-sectional survey method. The study developed a research model based on trust transfer theory and hypothesized relationships between the platform’s information provision, information source credibility, information-related responses and purchase intention. Structural equation modeling was used to analyze the collected data and test the research hypotheses.

The findings supported most of the hypotheses and provided valuable insights into the role of information credibility in shaping consumers’ purchase intentions. Specifically, the study revealed that the platform’s information provision enhances the credibility of the information source, leading to increased information usefulness, adoption and sharing. Furthermore, information usefulness and adoption mediate the relationship between information source credibility and purchase intention.

The limitations of this research include the use of convenience sampling, which may not represent the broader population, and the cross-sectional design, which does not provide an in-depth understanding of the adoption process. The reliance on self-reported data and the limited scope of investigation with only six constructs are additional limitations. Future studies should consider national random sampling, longitudinal designs, multiple data sources and explore negative effects and other potential mediating variables. Despite these limitations, this research contributes to the understanding of social media commerce mechanisms and provides valuable insights for practitioners in the field.

The findings of this study provide valuable insights for platform providers and marketers in the social media commerce environment. First, the study emphasizes the importance of effective messaging in improving information credibility. Platform providers should focus on delivering accurate and trustworthy information to enhance consumers’ perceptions of product quality and increase purchase intentions. Second, marketers can leverage the information-related factors identified in this study, such as information usefulness and adoption, to optimize their marketing efforts. By understanding how consumers perceive and interact with information on social media platforms, marketers can tailor their strategies to effectively engage and influence potential customers. Overall, these practical implications can enhance success in the competitive social media commerce landscape.

The social implications of this study are significant for social media commerce practitioners. The findings highlight the importance of effective messaging and information provision on social media platforms in improving information credibility, thereby enhancing purchase intention. By understanding the mechanisms that drive consumer behavior in the context of social media commerce, platform providers and marketers can optimize their marketing efforts. This includes focusing on delivering trustworthy and useful information, fostering information adoption and sharing among users and ultimately increasing the likelihood of successful transactions. These insights provide valuable guidance for practitioners to navigate the competitive landscape of social media commerce and enhance their chances of success.

The originality of this research lies in its application of trust transfer theory to investigate the mechanisms driving social media commerce. By examining the interplay between platform, people and information, the study specifically focuses on the role of the platform’s information provision in enhancing information credibility and its impact on information-related responses and purchase intentions. This study extends the understanding of the trust transfer mechanism between customers and sellers/brands in customer-to-customer social commerce by emphasizing the importance of effective messaging and information credibility in shaping consumer behavior. The empirical findings contribute to the understanding of information trust transfer and provide a unique perspective on the underlying mechanisms that drive social media commerce.