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This paper aims to examine the influence that family firms’ top management team (TMT) behavior and characteristics exert on their innovation opportunity realization.

Data were collected through a survey addressed to a representative sample of Italian firms. The analyzed sample consists of 237 firms, 120 of which are family firms. A series of ordinary least squares models were used to test the four hypotheses.

Family firms realize fewer innovation opportunities than non-family firms. This result is fully mediated by the knowledge exchange in the TMT as follows: in family firms, the TMT exchanges less knowledge than in non-family firms, which drives their lower realization of innovation opportunities. In family firms TMT, the increase in the non-family members positively influences the TMT knowledge exchange, but only when the time the Chief Executive Officer (CEO) spends in searching for innovation opportunities outside the firm is low. The more the CEO search increases, the more this positive influence decreases, up to the point it becomes negative.

The study contributes to the literature on innovation, knowledge management and organizational design in family firms. Nevertheless, data were collected at a single point in time and in a single country.

The study suggests family firms on how to foster the realization of innovation opportunities. A greater TMT knowledge exchange allows to realize more innovation opportunities and the TMT characteristics emerged as the drivers of this TMT knowledge exchange. As such, family firms should examine the interaction of their TMT composition in terms of non-family and family members with the effort that the CEO deploys to search for innovation opportunities outside the firm.

Empirical investigation of the link between family ownership, absorptive capacity and innovation performance by considering TMT behavior and characteristics.

The United Nations (UN) 17 Sustainable Development Goals (SDG) places partnerships as a vital mechanism, which strengthens the implementation of change strategies. The SDG targets are ambitious; acknowledging the interconnected multifaceted issues that are currently facing society. Similarly, social marketing thought is transitioning to embrace systemic change strategies, realising no one organisation can have an impact on the emerging grand challenges. Partnerships are the 5th P in the social marketing mix, however, partnerships is also a nebulous term which has been criticised for lacking theoretical development. This study aims to answer the call from both the UN and social marketing community for further research to guide the development and implementation of impactful transformative partnerships.

A robust mixed method approach to develop and test a social marketing partnership model is presented. Trust and relationship commitment are at the forefront of successful partnership exchanges. Morgan and Hunt’s (1994) trust and relationship commitment model is extended into the social marketing domain.

The findings validate Hasting’s (2003) call for social marketers to listen to their commercial marketing counterparts, positioning trust and commitment as essential to change strategies. As the degree of complexities in the multifaceted world continues to accelerate, partnerships for change (UN SDG #17) will pay off, driving more effective and smarter collaborations amongst a diverse range of stakeholders at different levels in different networks. Partnerships will elevate social marketing to deliver systemic transformation for complex problems with far reaching collective and sustainable consequences.

With trust/mistrust critical to successful exchanges and exchange central to social marketing, quantitative measurement of the antecedents to and outcomes of partnerships can inform the evaluation, impact and management of social marketing interventions.

Three contributions are made, which support the selection, implementation and evaluation of social marketing partnerships. Key social marketing partnership characteristics are operationalised supporting the partnership selection process. Measurement scales are developed to assist in evaluating partnership relationships over time. The model is empirically tested to investigate the relationships between key mediating variables of social marketing partnerships.

This paper presents a validated 5th P Partnership model for social marketers, accelerating social marketing’s capacities to deliver systemic transformation for complex problems with far reaching collective and sustainable consequences and UN SDG #17.

The COVID-19 pandemic has disrupted the ‘real’ world and substantially impacted the virtual world and thus the Internet ecosystem. It has caused a significant exogenous shock that offers a wealth of natural experiments and produced new data about broadband, clouds, and the Internet in times of crisis. In this chapter, we characterise and evaluate the evolving impact of the global COVID-19 crisis on traffic patterns and loads and the impact of those on Internet performance from multiple perspectives. While we place a particular focus on deriving insights into how we can better respond to crises and better plan for the post-COVID-19 ‘new normal’, we analyse the impact on and the responses by different actors of the Internet ecosystem across different jurisdictions. With a focus on the USA and Europe, we examine the responses of both public and private actors, with the latter including content and cloud providers, content delivery networks, and Internet service providers (ISPs). This chapter makes two contributions: first, we derive lessons learned for a future post-COVID-19 world to inform non-networking spheres and policy-making; second, the insights gained assist the networking community in better planning for the future.

While studies about business-to-business (B2B) relationships have mainly addressed buyer–supplier long-term exchanges, focusing on social outcomes such as trust, commitment and cooperation, there is little research that explores the social outcomes which stem from short-term B2B transactions. The purpose of this paper is to explain buyers’ intention to renew a contract after discrete and time-delimited transactions by suggesting a model that complements social exchange theory with theories of fairness. In detail, this study aims to determine how evaluations of economic and social outcomes are complemented by both procedural fairness and distributive fairness.

The hypotheses are tested in the social couponing industry with a survey of a sample of 199 firms purchasing advertising services from daily deal websites. Data are analyzed using covariance-based structural equation modeling (CB-SEM).

The findings reveal direct effects of procedural fairness on social outcomes (satisfaction) and distributive fairness on the intention to renew a contract, negative moderating effect of procedural fairness on the relationship between economic outcomes (campaign effectiveness) and social outcomes (satisfaction).

In discrete, time-delimited transactions, high levels of procedural fairness may partially compensate for low levels of economic outcomes and prevent a reduction in social outcomes. Hence, when economic outcomes are influenced largely by external, uncontrollable conditions, the buyer seems to appreciate the supplier’s efforts to behave fairly.

Social outcomes matter even in discrete transactions and considerations of fairness should be integrated in the management of discrete transactions. Sharing economic outcomes fairly is not sufficient to secure the buyer’s intention to renew the contract.

This study proposes and tests a model that complements social exchange theory with theories of fairness and explains contract renewal in discrete, time-delimited transactions, encompassing both economic outcomes and social outcomes.

The purpose of this paper is to define the Internet as a virtual space supported by technologies and presented in the form of socioeconomic relations from the perspective of political economy. The Internet space is a unique virtual commodity different from ordinary commodities and has the following effect characteristics: super replicability, space- and time-transcendence, open-source shareability and reality–virtuality transformation.

Internet space can also be imagined as a piece of virtual land. Internet space can be deemed as a piece of virtual land and its value can be divided into labor value and virtual value. The pricing model of virtual value is mainly determined by the gain and discount rate and this value comes from the transfer and markup of social value. In the context of the Internet Plus era, Internet space has become an essential economic factor that influences human economic activities.

Therefore, it is of practical significance and theoretical value to introduce Internet space as an economic variable into the framework of economic theory. The realistic logic of Internet space is to influence human economic behaviors with the combination of information binding.

The theoretical mechanism is to have an impact on the micro-market price by changing market relations from two-dimensional to three-dimensional. Its path to functioning at the macro level is to influence economic behaviors by changing the expectations of investment and consumption, resulting in new economic trends.

The purpose of this research is to investigate the use of Twitter in business as a medium for knowledge sharing and to crowdsource information to support innovation and enhance business relationships in the context of business-to-business (B2B) marketing.

This study uses a combination of methodologies for gathering data in 52 face-to-face interviews across five countries and the downloaded posts from each of the interviewees' Twitter accounts. The tweets were analysed using structural topic modelling (STM), and then compared to the interview data. This method enabled triangulation between stated use of Twitter and respondent's actual tweets.

The research confirmed that individuals used Twitter as a source of information, ideas, promotion and innovation within their industry. Twitter facilitates building relevant business relationships through the exchange of new, expert and high-quality information within like-minded communities in real time, between companies and with their suppliers, customers and also their peers.

As this study covered five countries, further comparative research on the use of Twitter in the B2B context is called for. Further investigation of the formalisation of social media strategies and return on investment for social media marketing efforts is also warranted.

This research highlights the business relationship building capacity of Twitter as it enables customer and peer conversations that eventually support the development of product and service innovations. Twitter has the capacity for marketers to inform and engage customers and peers in their networks on wider topics thereby building the brand of the individual users and their companies simultaneously.

This study focuses on interactions at the individual level illustrating that Twitter is used for both customer and peer interactions that can lead to the sourcing of ideas, knowledge and ultimately innovation. The study is novel in its methodological approach of combining structured interviews and text mining that found the topics of the interviewees' tweets aligned with their interview responses.

The purpose of the paper is to contribute to an understanding of the relational work carried out in mentoring programmes and the implications for learning capabilities in future practices.

This study is based on field research of a mentoring programme bringing together senior and newly graduated workers in a large Swedish health care organisation. In total, 54 qualitative interviews with mentors, mentees, HR, managers and union representatives are included.

The findings point to the role of trust and a psychological sense of community in the socialisation work that goes on in relationships between the mentor and the mentee. This in turn leads to increased social capital in the form of learning and retaining workers. The conditions for being vulnerable and asking questions, as well as daring to be independent, are an essential and decisive part of constructing bonding within the professional group and bridging out to other professions and parts of the organisation.

The practical contribution from this study is the workplace conditions that are central to organising mentoring programmes, with implications for learning capabilities in future practices.

With its theoretical focus on social capital, the study shows the importance of relationships for learning and retaining both newly graduated and experienced employees in a context of high employee turnover. It is central to achieving strong and mutually beneficial relationships through continual and trustful interaction between actors. By using the concepts of social capital, socialisation agents and psychological sense of community, this study contributes to an understanding of mentoring and workplace learning.

The purpose of this paper is to examine peer-to-peer sharing platform business models, their sources of competitive advantage, and the roles, motivations and behaviors of key actors in their ecosystems.

This paper uses a conceptual approach that is rooted in the service, tourism and hospitality, and strategy literature.

First, this paper defines key types of platform business models in the sharing economy anddescribes their characteristics. In particular, the authors propose the differentiation between sharing platforms of capacity-constrained vs capacity-unconstrained assets and advance five core properties of the former. Second, the authors contrast platform business models with their pipeline business model counterparts to understand the fundamental differences between them. One important conclusion is that platforms cater to vastly more heterogeneous assets and consumer needs and, therefore, require liquidity and analytics for high-quality matching. Third, the authors examine the competitive position of platforms and conclude that their widely taken “winner takes it all” assumption is not valid. Primary network effects are less important once a critical level of liquidity has been reached and may even turn negative if increased listings raise friction in the form of search costs. Once a critical level of liquidity has been reached, a platform’s competitive position depends on stakeholder trust and service provider and user loyalty. Fourth, the authors integrate and synthesize the literature on key platform stakeholders of platform businesses (i.e. users, service providers, and regulators) and their roles and motivations. Finally, directions for further research are advanced.

This paper helps platform owners, service providers and users understand better the implications of sharing platform business models and how to position themselves in such ecosystems.

This paper integrates the extant literature on sharing platforms, takes a novel approach in delineating their key properties and dimensions, and provides insights into the evolving and dynamic forms of sharing platforms including converging business models.

As intermodal logistics networks play a crucial role in enhancing the entire logistics performance, effectively managing the intermodal logistics network has become a significant strategic consideration in international logistics. The existing literature stresses that inter-organizational knowledge exchange is essential to successfully integrating logistics components and for maximizing logistics performance in the long run. These contentions ensure that knowledge exchange between intermodal logistics network entities-such as shipping lines, port terminal operators, freight forwarders, road and rail freight operators and other related logistics operators-are key factors in facilitating the successful integration of an intermodal logistics network because an intermodal logistics network is an integrated part of the entire international logistics system. This paper aims to investigate the question of how intermodal logistics network entities can successfully exchange knowledge with each other, and whether the knowledge exchange can contribute to the effective integration of the intermodal logistics network. For this, this paper adopts the social network embeddedness perspective in order to identify a useful inter-organizational relationship mechanism within the intermodal logistics networks, allowing the facilitation of knowledge exchange among the network players. A conceptual framework will be developed for the exploration of the aforementioned relationships between the social network mechanisms, i.e. network density, tie strength, knowledge exchange among network entities, and intermodal logistics network integration. Following the parameters of this framework, the theoretical and practical implications will be discussed.

The purpose of the paper is to examine how media synchronicity facilitates the emergence of social exchange (i.e. trust and reciprocity) in organizations’ information and communication technology (ICT)-mediated interactions. A model of media synchronicity in organizational social exchange (MSiOSE) is proposed.

The paper has a design and review approach. The theoretical analysis is based on social exchange theory (SET) and media synchronicity theory (MST).

The authors propose that, in general, social exchange benefits from both asynchronous and synchronous communication processes. However, media synchronicity has different boundary conditions (i.e. pros and cons) in relation to the emergence of social exchange, determined in accordance with the mutually interacting patterns of trust and reciprocity predicted by SET. The authors provide testable theoretical propositions to support the analysis.

Social exchange is a critical business factor for organizations due to its well-known positive outcomes, such as the strengthening of social ties. The need for successful social exchange in remote work conditions is particularly emphasized. However, with regard to the communication and behavioral patterns that lead to social exchange via ICT, the theoretical understanding is limited. The study reveals previously unmapped heuristics between social exchange and physical media capabilities. Thus, the study's propositions can be used to study and analyze social exchange in the ever-changing media landscape. As a practical contribution, the study helps organizations to improve their communication strategies and use of ICT.