Business groups are an organizational model in which collections of legally independent firms bounded together with formal and informal ties use collaborative arrangements to enhance their collective welfare. Among the different varieties of business groups, diversified business groups that exhibit unrelated product diversification under central control, and often containing chains of publicly listed firms, are the most-studied type in the management literature. The reason is that they challenge two traditionally held assumptions. First, broad and especially unrelated diversification have a negative impact on performance, and thus business groups should focus on a narrow scope of related businesses. Second, such diversification is only sustainable in emerging economies in which market and institutional underdevelopment are more common and where business groups can provide a solution to such imperfections. However, a historical perspective indicates that diversified business groups are a long-lived organizational model and are present in emerging and advanced economies, illustrating how business groups adapt to different market and institutional settings. This evolutionary approach also highlights the importance of going beyond diversification when studying business groups and redirecting studies toward the evolution of the group structure, their internal administrative mechanisms, and other strategic actions beyond diversification such as internationalization.
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Article
Neva Bojovic and Vincent Mangematin
Companies need business models to profit from innovation and technology. However, the success of a certain technology depends on whether and how it is used. Usage is important not only as an indicator of technology adoption, but also as a way for companies to design business models—as a way to create and capture value from technology. Usage is inscribed by the designers in the technology, but users in their ongoing practice can alter the designers’ intentions, which sometimes leads to innovation. Users can also combine different technologies in practice to accomplish a specific usage. In essence, usage is constitutive of technology and its value.
Technology usage-based business modeling is a way to explore business modeling for technology that looks into how different technologies are integrated, either by users or platform actors, into solutions to address specific usage needs. To understand this notion of usage for business model design, one must first understand how value is created and captured from technology. At the same time, it is also important to know different streams of literature that have investigated technology usage: user-centered design, user innovation and lead users, form, function, affordances of technology, and the practice-based view.
While usage-based business modeling has implications for all kinds of technologies, it is of particular importance for emerging, enabling, and embedding technologies, where the value of technology depends on the usage across multiple applications and connectedness between different users.
Article
James A. Muncy and Alice M. Muncy
Business research is conducted by both businesspeople, who have informational needs, and scholars, whose field of study is business. Though some of the specifics as to how research is conducted differs between scholarly research and applied research, the general process they follow is the same. Business research is conducted in five stages. The first stage is problem formation where the objectives of the research are established. The second stage is research design. In this stage, the researcher identifies the variables of interest and possible relationships among those variables, decides on the appropriate data source and measurement approach, and plans the sampling methodology. It is also within the research design stage that the role that time will play in the study is determined. The third stage is data collection. Researchers must decide whether to outsource the data collection process or collect the data themselves. Also, data quality issues must be addressed in the collection of the data. The fourth stage is data analysis. The data must be prepared and cleaned. Statistical packages or programs such as SAS, SPSS, STATA, and R are used to analyze quantitative data. In the cases of qualitative data, coding, artificial intelligence, and/or interpretive analysis is employed. The fifth stage is the presentation of results. In applied business research, the results are typically limited in their distribution and they must be addressed to the immediate problem at hand. In scholarly business research, the results are intended to be widely distributed through journals, books, and conferences. As a means of quality control, scholarly research usually goes through a double-blind review process before it is published.
Article
Melinde Coetzee
The complexity of modern careers requires personal agency in managing career development and employability capital as personal resources for career success. Individuals’ employability capital also serves as a valuable resource for the sustainable performance of organizations. Individuals’ ability to proactively engage in career self-management behaviors through the use of a comprehensive range of self-regulatory capabilities, known as career metacapacities, contributes to their employability capital. Organizational career development supports initiatives that consider individuals’ proactivity in light of conditions that influence their motivational states, and availability of personal resources helps organizations benefit from individuals who bring information, knowledge, capacities, and relationship networks (i.e., employability capital) into their work that ultimately contribute to the organization’s capability to sustain performance in uncertain, highly competitive business markets. Career development support practices should embrace the individualization of modern-day careers, the need for whole-life management, and the multiple meanings that career success has for individuals.
Article
Jason L. Huang and Zhonghao Wang
Careless responding, also known as insufficient effort responding, refers to survey/test respondents providing random, inattentive, or inconsistent answers to question items due to lack of effort in conforming to instructions, interpreting items, and/or providing accurate responses. Researchers often use these two terms interchangeably to describe deviant behaviors in survey/test responding that threaten data quality. Careless responding threatens the validity of research findings by bringing in random and systematic errors. Specifically, careless responding can reduce measurement reliability, while under specific circumstances it can also inflate the substantive relations between variables. Numerous factors can explain why careless responding happens (or does not happen), such as individual difference characteristics (e.g., conscientiousness), survey characteristics (e.g., survey length), and transient psychological states (e.g., positive and negative affect). To identify potential careless responding, researchers can use procedural detection methods and post hoc statistical methods. For example, researchers can insert detection items (e.g., infrequency items, instructed response items) into the questionnaire, monitor participants’ response time, and compute statistical indices, such as psychometric antonym/synonym, Mahalanobis distance, individual reliability, individual response variability, and model fit statistics. Application of multiple detection methods would be better able to capture careless responding given convergent evidence. Comparison of results based on data with and without careless respondents can help evaluate the degree to which the data are influenced by careless responding. To handle data contaminated by careless responding, researchers may choose to filter out identified careless respondents, recode careless responses as missing data, or include careless responding as a control variable in the analysis. To prevent careless responding, researchers have tried utilizing various deterrence methods developed from motivational and social interaction theories. These methods include giving warning, rewarding, or educational messages, proctoring the process of responding, and designing user-friendly surveys. Interest in careless responding has been growing not only in business and management but also in other related disciplines. Future research and practice on careless responding in the business and management areas can also benefit from findings in other related disciplines.
Article
Eric Volmar and Kathleen M. Eisenhardt
Theory building from case studies is a research strategy that combines grounded theory building with case studies. Its purpose is to develop novel, accurate, parsimonious, and robust theory that emerges from and is grounded in data. Case research is well-suited to address “big picture” theoretical gaps and dilemmas, particularly when existing theory is inadequate. Further, this research strategy is particularly useful for answering questions of “how” through its deep and longitudinal immersion in a focal phenomenon. The process of conducting case study research includes a thorough literature review to identify an appropriate and compelling research question, a rigorous study design that involves artful theoretical sampling, rich and complete data collection from multiple sources, and a creative yet systematic grounded theory building process to analyze the cases and build emergent theory about significant phenomena. Rigorous theory building case research is fundamentally centered on strong emergent theory with precise theoretical logic and robust grounding in empirical data. Not surprisingly then, theory building case research is disproportionately represented among the most highly cited and award-winning research.
Article
Nydia MacGregor and Tammy L. Madsen
A substantial volume of research in economic geography, organization theory, and strategy examines the geographic concentration of interconnected firms, industries, and institutions. Theoretical and empirical work has named a host of agglomeration advantages (and disadvantages) with much agreement on the significance of clusters for firms, innovation, and regional growth. The core assertion of this vein of research is that geographically concentrated factors of production create self-reinforcing benefits, yielding increasing returns over time. The types of externalities (or agglomeration economies) generally fall into four categories: specialized labor or inputs, knowledge spillovers, diversity of actors and activity, and localized competition. Arising from multiple sources, each of these externalities attracts new and established firms and skilled workers.
Along with recent advancements in evolution economics, newer research embraces the idea that the agglomeration mechanisms that benefit clusters may evolve over time. While some have considered industry and cluster life-cycle approaches, the complex adaptive systems (CAS) theory provides a well-founded framework for developing a theory of cluster evolution for several reasons. In particular, the content and stages of complex adaptive systems directly connect with those of a cluster, comprising its multiple, evolving dimensions and their interplay over time. Importantly, this view emphasizes that the externalities associated with agglomeration may not have stable effects, and thus, what fosters advantage in a cluster will change as the cluster evolves. Furthermore, by including a cluster’s degree of resilience and ability for renewal, the CAS lens addresses two significant attributes absent from cyclical approaches.
Related research in various disciplines may further contribute to our understanding of cluster evolution. Studies of regional resilience (usually focused on a specific spatial unit rather than its industrial sectors) may correspond to the reorganization phase associated with clusters viewed as complex adaptive systems. In a similar vein, examining the shifting temporal dynamics and development trajectories resulting from discontinuous shocks may explain a cluster’s emergence and ultimate long-term renewal. Finally, the strain of research examining the relationship between policy initiatives and cluster development remains sparse. To offer the greatest theoretical and empirical traction, future research should examine policy outcomes aligned with specific stages of cluster evolution and include the relevant levels and scope of analysis. In sum, there is ample opportunity to further explore the complexities and interactions among firms, industries, networks, and institutions evident across the whole of a cluster’s evolution.
Article
Claudio Giachetti and Giovanni Battista Dagnino
Competitive dynamics inquiry originates from a sequence of attacks and counterattacks among firms in an industry. Firms attack and respond to attacks of rivals in order to strengthen or defend their competitive position within their competitive space. Competitive dynamics research is thus centered on the analysis of how the firm’s actions affect rivals’ reactions and performance. Actually, the nature of competitive dynamics research is the open recognition that firm strategies are “dynamic”: Strategic actions initiated by one firm may trigger a series of actions among rival firms. The new competitive environment in many industries has generated the inception of furious competition, emphasizing flexibility, speed, and innovation in response to fast-changing technological and institutional conditions and temporary competitive advantages.
The key constructs and the intellectual roots of competitive dynamics (i.e., Schumpeter’s theory of creative destruction and industrial organization economics and related oligopoly theories) offer some practical examples of industry and firm cases where competitive dynamics have found their main applications.
The relevant underpinnings of the awareness–motivation–capability (AMC) framework provide an integrative model of the key behavioral drivers that shape a competitive actions and responses framework (i.e., the factors influencing the firm’s awareness of the context; the factors inducing or impeding the motivation of firms to respond to competitors’ action; and the capability-based factors affecting the firm’s ability to undertake actions), the three key attributes (i.e., the specific actions of firms in the industry, the firm’s competitive interdependence, and the antecedents and performance implications of firms’ competitive actions and reactions), and the three main levels of analysis used in competitive dynamics literature (i.e., action-level studies, business-level studies, and corporate-level studies).
Some insights regarding the relationship between dynamic competition and the sources of temporary competitive advantage, coopetition dynamics, as well as the kind of accelerated competition epitomizing early 21st-century digital dynamics settings update the traditional competitive dynamics flavor, as they are connected with firms’ strategic interaction and the pursuit of temporary advantages.
Article
James Mattingly and Nicholas Bailey
Stakeholder strategies, or firms’ approaches to stakeholder management, may have a significant impact on firms’ long-term prosperity and, thereby, on their life chances, as established in the stakeholder view of the firm. A systematic literature review surveyed the contemporary body of quantitative empirical research that has examined firm-level activities relevant to stakeholder management, corporate social responsibility, and corporate social performance, because these three constructs are often conflated in literature. A search uncovered 99 articles published in 22 journals during the 10-year period from 2010 to 2019. Most studies employed databases reporting environmental, social, and governance (ESG) ratings, originally created for use in socially responsible investing and corporate risk assessment, but others employed content analysis of texts and primary surveys. Examination revealed a key difference in the scoring of data, in that some studies aggregated numerous indicators into a single composite index to indicate levels of stakeholder management, and other studies scored more articulated constructs. Articulated constructs provided richer observations, including governance and structural arrangements most likely to provide both stakeholder benefits and protections. Also observed were constraining influences of managerial and market myopia, sustaining influences from resilience and complexity frameworks, and recognition that contextual variables are contingencies having impact in recognizing the efficacy of stakeholder management strategies.
Article
Rhonda K. Reger and Paula A. Kincaid
Content analysis is to words (and other unstructured data) as statistics is to numbers (also called structured data)—an umbrella term encompassing a range of analytic techniques. Content analyses range from purely qualitative analyses, often used in grounded theorizing and case-based research to reduce interview data into theoretically meaningful categories, to highly quantitative analyses that use concept dictionaries to convert words and phrases into numerical tables for further quantitative analysis. Common specialized types of qualitative content analysis include methods associated with grounded theorizing, narrative analysis, discourse analysis, rhetorical analysis, semiotic analysis, interpretative phenomenological analysis, and conversation analysis. Major quantitative content analyses include dictionary-based approaches, topic modeling, and natural language processing. Though specific steps for specific types of content analysis vary, a prototypical content analysis requires eight steps beginning with defining coding units and ending with assessing the trustworthiness, reliability, and validity of the overall coding. Furthermore, while most content analysis evaluates textual data, some studies also analyze visual data such as gestures, videos and pictures, and verbal data such as tone.
Content analysis has several advantages over other data collection and analysis methods. Content analysis provides a flexible set of tools that are suitable for many research questions where quantitative data are unavailable. Many forms of content analysis provide a replicable methodology to access individual and collective structures and processes. Moreover, content analysis of documents and videos that organizational actors produce in the normal course of their work provides unobtrusive ways to study sociocognitive concepts and processes in context, and thus avoids some of the most serious concerns associated with other commonly used methods. Content analysis requires significant researcher judgment such that inadvertent biasing of results is a common concern. On balance, content analysis is a promising activity for the rigorous exploration of many important but difficult-to-study issues that are not easily studied via other methods. For these reasons, content analysis is burgeoning in business and management research as researchers seek to study complex and subtle phenomena.
Article
Guclu Atinc and Marcia J. Simmering
The use of control variables to improve inferences about statistical relationships in data is ubiquitous in management research. In both the micro- and macro-subfields of management, control variables are included to remove confounding variance and provide researchers with an enhanced ability to interpret findings. Scholars have explored the theoretical underpinnings and statistical effects of including control variables in a variety of statistical analyses. Further, a robust literature surrounding the best practices for their use and reporting exists. Specifically, researchers have been directed to report more detailed information in manuscripts regarding the theoretical rationale for the use of control variables, their measurement, and their inclusion in statistical analysis. Moreover, recent research indicates the value of removing control variables in many cases. Although there is evidence that articles recommending best practices for control variables use are increasingly being cited, there is also still a lag in researchers following recommendations. Finally, there are avenues for valuable future research on control variables.
Article
Michael Dowling
Ray Noorda, the former CEO of Novell Inc., first coined the term “coopetition” in 1992 to describe a common phenomenon in the computer industry: cooperation between competitors. This phenomenon is inconsistent with classical economic and business theory going as far back as Adam Smith, who viewed the production system as based on a separation between suppliers and buyers. Micro-economists have traditionally viewed the firm as buying raw materials and components from suppliers, producing finished goods, and selling those goods in competition with other firms to a different set of firms or consumers. However, starting in the 1990s, research on forms of cooperative relationships between competitors became very common. The most common types are (a) competing firms engaging in horizontal alliances along the same level of the value chain and (b) vertical cooperation along different levels of the value chain between suppliers and firms in the focal industry or between customers and firms.
In the last 25 years, there has been a great increase in research on coopetition. In a systematic literature review conducted in 2014, one researcher found over 130 academic articles in more than 80 academic publications published since 1996. The majority of the research to date has been qualitative, with many cases studied conducted. A number of special issues in academic journals have been devoted to the topic in general or to special topics concerning coopetition. The Strategic Management Journal organized a special issue in 2018 on the interplay of competition and cooperation, and a number of workshops have been held on coopetition strategy and innovation.
Article
Elena Karahanna and Jennifer Claggett
Previous research in coordination lacked a practical explication of the metaknowledge used to enact coordination, which is particularly problematic as more coordination processes become (or attempt to become) digitized. One can better understand this meta knowledge by focusing on the coordination episode. The authors of this article define coordinating knowledge as knowledge that facilitates the exchange of information between two or more actors in order to achieve a shared goal by guiding (a) the timing, (b) the selection of actors, (c) the content, and (d) the method of the exchange. By integrating four bodies of literature (structured mechanisms, domain expertise, team familiarity, and transactive memory systems) that provide important insights into coordination the authors anatomize the framework into 14 specific types of coordinating knowledge that can impact how a coordination episode is enacted and its outcomes. Specifically, coordinating knowledge about triggers refers to knowledge indicating a need to initiate a coordination episode and may take the form of time-scheduled triggers, event-sequence triggers, and emergent triggers. Coordinating knowledge about actors refers to knowledge that helps select with whom to coordinate and may take the form of role, assignment, or individual knowledge about actors. Coordinating knowledge about content refers to knowledge that either helps select or present content shared during the coordination episode and may take the form of predetermined content selection or presentation, emergent content selection, recipient-tailored content selection, and shared understanding. Finally, coordinating knowledge about method refers to knowledge that helps select the appropriate medium of communication for a coordination episode and may take the form of predetermined method selection, media-fit method selection, or recipient-tailored method selection. Coordinating knowledge is conceptualized as a profile construct with meaningful combinations of coordinating knowledge that can be used to address different coordination dependencies and other contingencies. This conceptual framework affords a new understanding of how coordination is enacted and opens avenues to future research to explore how the presence and utilization of specific types of coordinating knowledge are likely to impact coordination performance. By explicating and elaborating upon coordinating knowledge, scholars and practitioners will be better positioned to design information systems to aid in the exchange of information by embedding different types of coordinating knowledge. Thus, the coordinating knowledge lens will be useful in understanding the evolving role of technology in coordination processes.
Article
Jill Brown
In a new era of corporate governance defined by increasing shareholder empowerment, scrutiny from external stakeholders, and governance failures, there has been a movement toward redefining corporate governance models and the roles of boards. As a result, researchers and practitioners are left wondering what it means to be an effective board, and how a board can operate in the best interests of a firm’s stakeholders in this current environment. Exploring the expanded roles and demands of directors grounded in shareholder and director primacy debates, as well as reviewing theories and contingencies that link corporate boards to task, group, firm, and enterprise-level outcomes, a research agenda is identified that might better identify the parameters of board effectiveness.
Article
Donald F. Kuratko and Jeffrey G. Covin
The theoretical and empirical knowledge on corporate entrepreneurship (ce) has evolved in the research domain over the last 50 years, beginning very slowly and growing in importance in that time. Because of this evolution and expansion in CE research, the theoretical and empirical knowledge about CE and the entrepreneurial behavior on which it is based has progressed to a point where a greater understanding of the concept can be presented.
Many of the elements essential to constructing a theoretically grounded understanding of the domains of CE have been identified. An examination of the field reveals that there are three research domains that have developed over the years: corporate venturing (either internal or external), strategic entrepreneurship, and entrepreneurial orientation.
In examining the evolution of CE research across five decades, the focus of CE research has varied over the years. The very early research published in the 1970s focused more on how teams could establish entrepreneurial activities inside established organizations; however, this early research was sparse because CE was not widely acknowledged nor sought in existing organizations. The 1980s saw some research into entrepreneurial behavior inside established organizations that explained how such activity could simply not exist in the structure and operations of existing corporations. Opposed to that thinking, many more researchers demonstrated that the idea of corporate entrepreneurial activity could be conceived as a process of organizational renewal. In the 1990s, researchers began to develop more comprehensive examinations of CE that focused on re-energizing companies and therefore increasing its abilities to develop innovations. The first and second decades of the 21st century witnessed a more sophisticated refinement of research topics in CE.
In addition to research specific to the development of the three main domains of CE (corporate venturing, entrepreneurial orientation, and strategic entrepreneurship), there has been research on more specific areas of interest in CE including the implementation of CE, management levels, the individual corporate entrepreneur, models and metrics of CE, a deeper examination of internal corporate ventures, the international domain, firm size, family firms, ethics, and corporate venture capital. These areas illustrate the developmental expansion of interest in CE across different domains.
Even with the continued expansion in the research on CE, there is so much that is still not understood nor researched well enough to fully advance the theoretical and empirical knowledge on CE. With the growing climate of disruption through external antecedents such as COVID-19, the entrepreneurial behavior of individuals within organizations becomes paramount and warrants a deeper understanding. Newer research questions on CE are emerging and further theoretical exploration should be the work of ongoing scholarly efforts.
Article
Thomas Donaldson and Diana C. Robertson
Serious research into corporate ethics is nearly half a century old. Two approaches have dominated research; one is normative, the other empirical. The former, the normative approach, develops theories and norms that are prescriptive, that is, ones that are designed to guide corporate behavior. The latter, the empirical approach, investigates the character and causes of corporate behavior by examining corporate governance structures, policies, corporate relationships, and managerial behavior with the aim of explaining and predicting corporate behavior. Normative research has been led by scholars in the fields of moral philosophy, theology and legal theory. Empirical research has been led by scholars in the fields of sociology, psychology, economics, marketing, finance, and management.
While utilizing distinct methods, the two approaches are symbiotic. Ethical and legal theory are irrelevant without factual context. Similarly, empirical theories are sterile unless translated into corporate guidance. The following description of the history of research in corporate ethics demonstrates that normative research methods are indispensable tools for empirical inquiry, even as empirical methods are indispensable tools for normative inquiry.
Article
Tanusree Jain and Jiangtao Xie
Having a Code of Ethics (COE) has become a common practice within large companies since the 1980s. A COE serves multiple functions for organizations: as an internal control mechanism to guide employees during ethical dilemmas, a benchmark for fostering ethical corporate culture, and as a communication tool to signal organizational commitment to stakeholders.
Four major theoretical frameworks underpin the extant academic scholarship on COEs. In particular, organizational justice and stakeholder theories highlight the role of individuals in adopting and shaping a COE, and the institutional theory emphasizes the influence of the exogenous environment on the convergence and/or divergence of COEs across firms and contexts. Integrative social contracts theory captures the significance of both individuals and the institutional environment and views COEs as a contractual obligation that guides managers and employees to manage contradictions between local and global norms.
Within these theoretical framings, significant variations in the nature and stakeholder orientations of COEs have been detected across the developed and developing world. In the developed contexts, a comparative institutional analysis using the national business system approach shows that while in the compartmentalized cluster (the United States, United Kingdom, Canada, Australia, and Japan), expectations of market participants and firm owners are key drivers of COEs; in the collaborative cluster (Germany, Ireland, and the Netherlands), firms develop COEs that have a wider focus oriented towards multiple stakeholders such as employees, suppliers, and the environment. Whereas in the state-organized cluster (South Korea, Spain, Greece, and Slovakia) the role and the nature of the state are important guiding factors. The coordinated industrial district cluster (Italy) characterized by alliances among smaller artisanal firms demonstrates a human-centric view of business embedded within their COEs.
Excluded from the national business systems categorization, the Nordic cluster displays a unique distinctiveness in its approach to COEs through the presence of a structured moral apparatus within firms. In the developing world, country-specific institutional characteristics play a vital role behind adoption of localized a COE, yet nonstate actors—namely multinationals enterprises, and international and supranational institutions—promote the diffusion of hyper-norms.
Given the pervasiveness of corporate misconduct despite the global diffusion of COEs, scholars must pay heed to understand the conditions under which gaps between a COE adoption and implementation arise. Equally, more scholarly attention needs to be accorded to a systematic investigation of COEs in transitional and emerging contexts. This becomes particularly necessary in the face of sociological changes, a fast-evolving landscape of local and transnational regulations including those arising from global events such climate change, and COVID-19, and the co-existence of multilevel COEs at the industry, firm, and professional levels.
Article
Erik E. Lehmann
Corporate governance is a recent concept that encompasses the costs caused by managerial misbehavior. It is concerned with how organizations in general, and corporations in particular, produce value and how that value is distributed among the members of the corporation, its stakeholders. The interrelation of value production and value distribution links the ubiquitous technological aspect (the production of value) with the moral and ethical dimension (the distribution of value). Corporate governance is concerned with this link in general, but more specifically with the moral and ethical dimensions of distributing the generated value among the stakeholders. Value in firms is created by firm-specific investments, and the motivation and coordination of value-enhancing activities and investment is protected by the power concentrated at the pyramidal top of the organization. In modern companies, it is the CEO and the top management who decide how to create value and how to distribute it among the relevant stakeholders. Due to asymmetric information and the imperfect nature of markets and contracts, adverse selection and moral hazard problems occur, where delegated (selected) managers could act in their own interest at the costs of other relevant stakeholders.
Corporate governance can be understood as a two-tailed concept. The first aspect is about identifying the (most) relevant stakeholder(s), separating theory and practice into two different and conflicting streams: the stakeholder value approach and the shareholder value approach. The second aspect of the concept is about providing and analyzing different mechanisms, reducing the costs induced by moral hazard and adverse selection effects, and balancing out the motivation and coordination problems of the relevant stakeholders. Corporate governance is an interdisciplinary concept encompassing academic fields such as finance, economics, accounting, law, taxation, and psychology, among others.
As countries differ according to their institutions (i.e., legal and political systems, norms, and rules), firms differ according to their size, age, dominant shareholders, or industries. Thus, concepts in corporate governance differ along these dimensions as well. And while the underlying characteristics vary in time, continuously or as a result of an exogenous shock, concepts in corporate governance are dynamic and static, offering a challenging field of interest for academics, policymakers, and firm managers.
Article
Margarethe F. Wiersema and Joseph B. Beck
Corporate or product diversification represents a strategic decision. Specifically, it addresses the strategic question regarding in which businesses the firm will compete. A single-business company that expands its strategic scope by adding new businesses becomes a diversified, multibusiness company. The means by which a company expands its strategic scope is by acquiring businesses, investing in the development of new businesses, or both. Similarly, an already diversified firm can reduce its strategic scope by divesting from or closing businesses.
There are two fundamentally different types of corporate diversification strategy, depending on the interrelatedness of the businesses in the company’s portfolio: related diversification and unrelated diversification. Related diversification occurs when the businesses in the company’s portfolio share strategic assets or resources, such as technology, a brand name, or distribution channels. Unrelated diversification occurs when a company’s businesses do not share strategic assets or resources and do not have interrelationships of strategic importance. Companies can pursue both types of diversification simultaneously, and thus have a portfolio of businesses both related and unrelated. In addition to variations in the type of diversification, companies can vary in the extent of their diversification, ranging from business portfolios with very limited diversification to highly diversified portfolios.
Decisions regarding the diversification strategy of a firm represent major strategic scope decisions since they impact the markets and industries in which the company will compete. Companies can increase or reduce their level of diversification for a variety of reasons. Economic motives, for example, include the pursuit of economies of multiproduct scale and scope, whereby per-unit costs may be lowered through the increase in sales volume or other fixed-cost reducing benefits associated with growth through diversification. In addition, companies may diversify for strategic reasons, such as enhancement of capabilities or superior competitive positioning through entry into new product markets. Similarly, economic and strategic reasons can motivate the firm to refocus and reduce its level of diversification when the strategic and economic rationales for being in a particular business are no longer justified.
The performance consequences of corporate diversification can vary, depending on both the extent of the firm’s diversification and the type of diversification. In general, research indicates that high levels of diversification are value-destroying due to the integrative and complexity-associated costs that administering an extremely diversified portfolio imposes on management. Nevertheless, related diversification, where the company shares underlying resources across its business portfolio (e.g., brand, technology, and distribution channels), can lead to higher levels of performance than can unrelated diversification, due to the potential for enhanced profitability from leveraging shared resources. Corporate diversification was a major U.S. business trend in the 1960s. During the 1980s, however, pressure from the capital market for shareholder wealth maximization led to the adoption of strategies whereby many companies refocused their business portfolios and thus reduced their levels of corporate diversification by divesting unrelated businesses in order to concentrate on their predominant or core business.
Article
Rodrigo B. DeMello
Firms deploy value-based strategies to achieve competitive advantage in the marketplace. However, processes of value creation and appropriation do not happen in a vacuum but are structured by a set of formal market institutions that define, among other things, policies and regulations on standards, privacy, safety, trade, and access to resources. Corporate political strategies are the ways firms use to shape these policies and regulations in favorable ways that help them achieve competitive advantage. The political activities include lobbying, participation in hearings, campaign contributions, the use of revolving-door personnel, advocacy, grass-roots mobilization, and nurturing and exploiting political ties. Firms interact with government officeholders in different government arenas, such as national and local legislatures, government agencies, and the judiciary branch.
For most corporations, being able to deploy effective political strategies is, therefore, necessary for achieving sustainable competitive advantage. The research into corporate political strategies has tried to explain why firms engage in political strategy, when, and which political activity would yield the best results. The usual theoretical framings draw from Resource Dependence Theory, Institutional Theory, Resource-Based View, Agency Theory, and Stakeholder Theory. While the strategic logic underlying each theoretical approach varies, they are better seen as complementary to each other. The fact that the phenomenon of political strategies is complex, dynamic, and an important part of daily business of several corporations favors the integration of different theoretical approaches.
Although the literature on corporate political strategies has considerably advanced, there are still areas that could benefit from future research: the integration of market and political strategies, especially the use of market actions as political influence; the integration of social and political strategies; the role that individual and managerial aspects play in choice of political strategies; and multicountry comparative studies, especially focusing on ideological turnarounds and state capitalism.
