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In multi-business firms, mergers and acquisitions (M&As) serve as a primary growth strategy. Yet, within multi-business firms, the value of an M&A can vary substantially for the different business divisions. Despite this, divisional-level drivers of corporate acquisition decisions and the subsequent performance implications for the divisions remain insufficiently explored. This study, grounded in the internal capital market and resource redeployment theories, seeks to fill this gap by investigating a sample of 1,728 multi-business firms spanning from 1998 to 2017. The statistical findings suggest that firms engage in acquisitions to allocate resources to their more promising divisions, particularly those with higher growth prospects and greater potential for resource sharing among sister businesses. A post-hoc analysis reveals that acquisitions are associated with a rise in the performance of those divisions that are in the same business segment as the acquisition target.

Using social network theory (SNT), this study empirically examines the impact of digital supply chain announcements disclosing corporate social responsibility (CSR) information on stock market value.

Based on 172 digital supply chain announcements disclosing CSR information from Chinese A-share listed companies, this study uses event study method to test the hypotheses.

First, digital supply chain announcements disclosing CSR information generate positive and significant market reactions, which is timely. Second, strategic CSR and value-based CSR disclosed in digital supply chain announcements have a more positive impact on stock market, however there is no significant difference when the CSR orientation is either towards internal or external stakeholders. Third, in terms of digital supply chain network characteristics, announcements reflecting higher relationship embeddedness and higher digital breadth and depth lead to more positive increases of stock value.

First, the authors consider the value of CSR information in digital supply chain announcements, using an event study approach to fill the gap in the related area. This study is the first examination of the joint impact of digital supply chain and CSR on market reactions. Second, compared to the previous studies on the single dimension of digital supply chain technology application, the authors innovatively consider supply chain network relationship and network structure based on social network theory and integrate several factors that may affect the market reaction. This study improves the understanding of the mechanism between digital supply chain announcements disclosing CSR information and stock market, and informs future research.

This article examines strategic management research across Latin America from 1990 to 2023, addressing four critical inquiries: the themes prevalent in strategic discussions, the leading countries in strategic management (SM) publications, the defining characteristics of strategic research in major Latin American economies and the reflection on whether Latin America is a region that generates or follows the knowledge of the Global North.

Utilizing co-occurrence analysis, this study maps the terrain of SM research in the region, analyzing 4,963 articles indexed in the Scopus database. The authors employed a co-occurrence analysis to map SM research in Latin America, analyzing 4,963 articles from the Scopus database.

Predominant themes include the theoretical underpinnings of strategy, sustainable development, innovation, tourism and international trade. Brazil, Mexico, Colombia and Chile have emerged as leaders in research volume and thematic diversity, particularly in sustainable development and innovation.

By identifying patterns, behaviors and trends in SM research, the authors uncover methods and tools that, once contextualized for the region, can significantly enhance organizational performance.

This investigation is a pioneering effort, providing a focused analysis on SM research within Latin America. It highlights significant contributions since 1990 across the region's main economies. This study represents one of the first comprehensive mappings of this academic field within Latin America. This is the first article, to the authors’ knowledge, developed to map the intellectual structure of the SM field in Latin America through an analysis of co-occurrences, with emphasis on the region's main economies.

Drawing on the concept of superior resource, capability and processes of the resource-based theory of the firm, the purpose of the current study is to analyze the influence of firms’ winner-picking strategic approach on firm performance (FP) via a direct and indirect mechanism.

Using survey data of 104 diversified manufacturing firms, the current study analyzed the conditional indirect effect of firms’ strategic approach on efficient resource allocation with the help of Statistical Analysis Software (SAS) process macros.

The study found that firms’ choices of winner-picking approach can undermine the resource allocation efficiency when not perfectly blended with firms’ access to the resource. Furthermore, the effect of winner-picking strategy (WPS) on resource allocation efficiency via firms’ competitive advantage (CA) can be greater when both strategic choice and resources are employed adequately.

Despite making a unique contribution, the present study has a few limitations requiring researchers’ attention to be tackled in the forthcoming. This includes a little amount of data, a self-reporting technique and failure to include all the possible reasons that could lead to inefficient resource allocation.

The present research has potential applications for managers of the manufacturing industry in a period of sheer uncertainty [coronavirus disease 2019 (COVID-19)]. First, the study alerts managers about the challenges of underinvestment and overinvestment while allocating resources. At the same time, this study provides an important implication for managing the importance of firms’ access to capital (AC).

The current study has made a sizeable impression in the literature on internal resource allocation and resource-based theory of the firm by recommending a model that augments the theoretical foundation of strategic management of the firms. As there are only a handful of studies on this grave issue in the context of developing economies, thus, closely considering these insights would be helping for the firms for allocating resources efficiently in the manufacturing industry.

Theories are crucial for addressing research questions and advancing the boundaries of knowledge. However, in the field of strategic management, the existence of diverse schools of thought from various disciplines, including economics, politics, and sociology, poses significant challenges for researchers seeking to develop theories for argumentation and theorization. In this study, we have conceptualized a novel approach to selecting an appropriate theory for addressing specific research questions.

Thought experiment, disciplined imagination, and a conceptual examination of a diverse set of theories.

Because the central focus in the field of strategic management revolves around how firms achieve sustainable high performance, a research question should initially clarify the fundamental phenomenological issues it aims to address. Subsequently, the process of problematization should identify the ontological assumptions and premises that establish a connection between the research question and existing theories. Finally, the identification and abstraction of rhetorical concepts derived from these assumptions and premises lead to theory selection criteria, namely connectedness, reliability, parsimoniousness, and falsifiability.

Although we believe that our model for theory selection is generalizable to a wide range of management disciplines, we have primarily focused on its application in the field of strategic management. Future work could validate and further explore the applicability and effectiveness of this model in selecting appropriate theories for conceptual development in other domains.

While many researchers have proposed methods for writing theoretical papers, few have provided suggestions specifically focused on theory selection. This paper stands out as one of the few that not only attempts to address this gap but successfully develops a comprehensive model for theory selection.

This review study aims to explore the prevalent paradoxes in digital transformation (DTN) of business and provide insights on how businesses can effectively navigate them.

The study conducts a systematic literature review, utilizing findings from a bibliometric analysis. A sample of 229 articles published in top-tier journals, retrieved from the Scopus database, is reviewed to identify nine clusters representing different sectors and paradoxes in DTN.

The review identifies and summarizes studies addressing the paradoxes that arise during DTN in various sectors. Scholars have analyzed the growing need for digital innovations and the benefits they bring, but this study aggregates high-quality research to address the gap in understanding prevalent paradoxes.

This study provides valuable insights into the paradoxes of DTN and offers guidance to businesses on effectively managing these challenges. It contributes to the existing literature by consolidating and presenting key research findings in this domain.

Micro, small, and medium enterprises (MSMEs) can play a significant role in achieving sustainable development goals (SDGs) as they have the ability to reduce unemployment. Digitalization helps MSMEs in a number of ways, including lowering transaction costs, quickening access to information, and bettering communication with extended supply chain members. This chapter aims to understand the level of digitalization in MSMEs in an emerging economy such as Bangladesh. MSMEs in Bangladesh account for 25% of the gross domestic product and employ 87% of civilians. This chapter builds on qualitative data from 60 MSMEs from various manufacturing and service sectors such as textile, retail, food delivery, IT companies, etc. The interviews were semi-structured and followed an interview protocol. The length of interviews varied between 40 and 50 minutes. Content analysis was used to analyze the data. Findings suggest that counterintuitively the level of digitization in MSMEs is not low in Bangladesh. Many micro and small enterprises use MS Excel to help them manage customer and product data. Medium Enterprises use Enterprise Resource Planning (ERP) software for planning enterprise-wide resources. Some medium enterprises also use powerful data analytics software such as Oracle, Power BI, Google Analytics, Python, and SPSS. Results also reveal barriers to digitization in MSMEs, which include a lack of employee awareness, training, and motivation of top management. This chapter maps the digitalization levels in MSMEs in Bangladesh and provides implications for SGDs. The chapter also presents policy recommendations for improving the digitalization level in emerging economies.

Luxury fashion brands have started differentiating their investment strategies and enlarging their sectors of activity, for instance, entering tourism. The overlay between traditional behaviors and innovative strategies has left a mark on the cities and neighborhoods. This chapter explores the spatial distribution of luxury tourism infrastructure in Milan. This transition does not affect only preeminent locations, such as monumental squares and high streets, but also places traditionally excluded from the “luxury circuits.” The location of 5-star hotels and premium tourism facilities in Milan (Michelin restaurants and spas) differ from the general tourism infrastructure. The study identifies polarization in the touristic offer and a parallel influence in the real estate market.