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Drawing on organizational design theory and organizational learning theory, this paper aims to examine component technology (CT) and the interaction between CT and experiential learning (EL) effects on the degree of integration (DI) of cross-border technological acquisitions.

Using a sample of 267 firms consisting of 229 acquirer firms who started cross-border technological acquisitions from developed economies and 38 acquirer firms who initiated cross-border technological acquisitions from emerging economies over the period of 1993–2016, this study adopts a value chain framework to measure the acquirers’ acquisition integration degree for the investigation of the effects of CT and the interaction between CT and EL.

First, this paper finds CT in cross-border technological acquisitions exerting a positive influence on the acquirer firm’s likelihood of the DI implementation, in line with the organizational design theory. Second, in view of organizational learning theory, this study finds EL and the combined effect of CT and EL to have an inverse influence on the DI.

The results imply that the moderating role of EL significantly optimizes decision choices for an acquirer firm for integration implementation strategies in the form of DI, such as full integration (structural integration), partial integration and no integration (structural separation), which appears to be crucial for cross-border technological acquisitions.

This study contributed to international business strategies by shedding light on the importance of the DI for an acquirer firm that undertakes a cross-border technological acquisition with a CT target firm. This study explains why structural integration might be necessary in cross-border technological acquisitions regardless of the costs of disruption it imposes, as well as the contexts in which it becomes less important or unnecessary. The study disclosed that the increase in the likelihood of DI because of CT depends on the EL of the acquisition company in the host country environment and fluctuates with the prior acquisition knowledge and EL of the host country. Combining two cross-border technological acquisition’s literature streams, such as CT and EL, this study enlightens the importance of organizational learning theory and theory of organization design strategic direction making on acquisition integration implementation strategies.

The authors propose and test a theoretical framework that develops and analyzes precursors to firm acquisitions to determine if acquirers differ from other firms.

The authors use longitudinal, archival data from a sample of the largest firms in the global pharmaceutical industry from 1991 to 2012 with 1,327 firm-year observations.

The authors integrate prior research to show that the firm characteristics involving (1) R&D investment, (2) prior experience and (3) network centrality influence the likelihood that a firm will complete an acquisition.

In contrast to research focusing on the performance of acquiring firms, the authors show that firm characteristics predict acquisition activity by highlighting that acquiring firms differ from other firms. The authors also develop how network synergies can be realized by acquirers that have information advantages from more central network positions.

The literature mainly concentrates on the relationships between externally oriented digital transformation (ExtDT), big data analytics capability (BDAC) and business model innovation (BMI) from an intra-organizational perspective. However, it is acknowledged that the external environment shapes the firm's strategy and affects innovation outcomes. Embracing an external environment perspective, the authors aim to fill this gap. The authors develop and test a moderated mediation model linking ExtDT to BMI. Drawing on the dynamic capabilities view, the authors' model posits that the effect of ExtDT on BMI is mediated by BDAC, while environmental hostility (EH) moderates these relationships.

The authors adopt a quantitative approach based on bootstrapped partial least square-path modeling (PLS-PM) to analyze a sample of 200 Italian data-driven SMEs.

The results highlight that ExtDT and BDAC positively affect BMI. The findings also indicate that ExtDT is an antecedent of BMI that is less disruptive than BDAC. The authors also obtain that ExtDT solely does not lead to BDAC. Interestingly, the effect of BDAC on BMI increases when EH moderates the relationship.

Analyzing the relationships between ExtDT, BDAC and BMI from an external environment perspective is an underexplored area of research. The authors contribute to this topic by evaluating how EH interacts with ExtDT and BDAC toward BMI.

Building on the venture capital (VC) literature, this paper aims to study the impact of the value added by corporate venture capitalists (CVCs) on their funded companies by comparing its IPO valuation with its independent venture capitalists (IVCs) peers.

This study uses a sample of 3,719 VC-backed ventures, between the years 1998 and 2020. The empirical analysis focuses on the propensity score matching approach, pairing ventures based on their probability of being funded by CVCs, and consequently, interpret the results derived from the valuation multiple ratios between the “nearest neighbors.”

This study finds that companies funded by CVCs can achieve higher valuations at their IPO compared to IVC-backed companies. Moreover, CVC-backed companies outperformance is mainly driven by startups which hold a technological fit with their CVC investor, with higher technological overlaps being translated into more significant valuations.

This study presents systematic evidence to the subject concerning ventures’ type of investors and its effect on the startups’ IPO valuations.

This paper contributes to the enrichment of the industry’s literacy while also easing entrepreneurs’ decisions when choosing a funding partner. CVCs offer a variety of services and support that fits the specific needs of their funded companies.

To the best of the authors’ knowledge, this study is among the first to examine the role of CVCs as a tool to help venture growth.

This paper attempts to examine the impact of merger on the stock returns and economic value added (EVA) of acquiring firms to know if the mergers are successful corporate restructuring strategies for the firms.

In total, 108 Indian firms are studied using paired sample t-test and Wilcoxon signed rank test for comparing the EVA of acquiring firms in short, medium and long term after merger. The effect of merger announcements on stock returns is analyzed by way of event study. An event window of −20 to +20 is taken and an estimation window of 256 (-276 -20) days is used in the study.

The authors find that mergers lead to significant improvement in the EVA of acquiring firms. However, the increase in financial performance and EVA is witnessed only in long term. The authors did not find any significant impact of merger announcement on the stock returns of acquiring firms.

The study is a first of study's kind, which evaluates both short-term (using event study methodology) and long-term (using EVA) impact of value addition to an acquirer after Merger & Acquisition (M&A). The study contributes to existing literature on the signaling theory of announcement of M&As and synergy gain theory of completed M&As by providing evidence from the context of an emerging market like India.

The speed of integration has been a salient and longstanding topic in the literature on managing mergers and acquisitions. Yet over the decades, speed has also been the subject of extensive debate. While many have advocated for fast integration, others have recommended a more measured pace. In this chapter, the authors reflect on the discussion by canvasing the variety of views on the speed of integration. The work is positioned at the nexus of the literature on mergers with that on stakeholders, in particular its attention to urgency in stakeholder management. It approaches urgency in mergers and acquisitions as a “dilemma of stake,” a new lens on a well-established but challenging topic. The study draws on ethnographic research to examine accounts of speed of integration in a New Zealand public sector merger. The chapter juxtaposes varied views on the topic against the respective arguments within the merger literature. It examines the overarching themes of “go slow” and the “need for speed” by attending to the tensions between a prosocial service ethos on the one hand and a managerialist ethos on the other. The explication of the respective dilemmas of stake shows how participants articulate their views on urgency both in terms of its effects on their individual professional role, their own stake, as well as in terms of the effects on employees as internal stakeholders. The analysis also explores the role of internal and external context in shaping the views on urgency in merger integration. The work concludes by outlining an agenda for future research.

This paper applies a volume-price probability wave differential equation to propose a conceptual theory and has innovative behavioral interpretations of intraday dynamic market equilibrium price, in which traders' momentum, reversal and interactive behaviors play roles.

The authors select intraday cumulative trading volume distribution over price as revealed preferences. An equilibrium price is a price at which the corresponding cumulative trading volume achieves the maximum value. Based on the existence of the equilibrium in social finance, the authors propose a testable interacting traders' preference hypothesis without imposing the invariance criterion of rational choices. Interactively coherent preferences signify the choices subject to interactive invariance over price.

The authors find that interactive trading choices generate a constant frequency over price and intraday dynamic market equilibrium in a tug-of-war between momentum and reversal traders. The authors explain the market equilibrium through interactive, momentum and reversal traders. The intelligent interactive trading preferences are coherent and account for local dynamic market equilibrium, holistic dynamic market disequilibrium and the nonlinear and non-monotone V-shaped probability of selling over profit (BH curves).

The authors will understand investors' behaviors and dynamic markets through more empirical execution in the future, suggesting a unified theory available in social finance.

The authors can apply the subjects' intelligent behaviors to artificial intelligence (AI), deep learning and financial technology.

Understanding the behavior of interacting individuals or units will help social risk management beyond the frontiers of the financial market, such as governance in an organization, social violence in a country and COVID-19 pandemics worldwide.

It uncovers subjects' intelligent interactively trading behaviors.

A vast amount of research has been carried out to help us understand the main factors influencing mergers and acquisitions (M&A) performance. Although the existing body of knowledge focuses mainly on macro-level factors, there is an increasing interest from scholars and practitioners in understanding the micro-foundational factors occurring at individual and team levels. This chapter focuses on the importance of emotions – a central facet in individual reactions to workplace events – in M&A processes. To this end, the authors carried out a multi-phased search for articles on micro-foundations in M&A settings published by Business and Management (B/M) and Organizational Behavior and Psychology (O/P) journals. The authors reviewed 41 papers and used the circumplex model to identify and categorize 19 themes related to individual emotions involved in M&A processes in terms of positive/negative valence and high/low activation. The findings show that scholars mainly assume a risk mitigation perspective and focus on themes related to change resistance (negative emotions with high activation) by providing prescriptions on how negative emotions could be mitigated to avoid eroding acquisition performance. Hence, the authors suggest that (a) there should be more efforts to integrate different streams of literature, namely between the strategic and operational/behavioral areas of knowledge and (b) future research should focus on understanding how positive emotions like change proactivity (positive emotions with high activation) might be essential to enhance acquisition performance.

Mergers and acquisitions (M&As) are important strategic actions undertaken by firms to access resources and markets. However, firms face substantial challenges in M&As during deal completion. While prior literature reviews synthesize the studies on the post-merger consequences of M&As, the literature on deal completion is largely fragmented. In this paper, the authors synthesize prior literature on deal completion into the antecedents and consequences framework and map various studies across the international business and management, finance and accounting literature at the macro-, meso- and micro-levels.

The authors adopt a content analysis-based methodology to conduct the review. First, the authors identify existing literature on deal completion based on keyword searches. Next, the authors propose a framework that integrates the extant literature from a multi-theoretic perspective across four broad themes: concepts, antecedents, implications and moderators. In this study, the authors consider not only empirical but also conceptual papers to strengthen the theoretical foundations of M&A literature. Finally, after synthesizing various studies, the authors highlight a future research agenda on deal completion.

Based on the review, this study provides important avenues for future research on M&A deal completion.

This study theoretically integrates multi-disciplinary and multi-country research on acquisition completion.