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The study aims at inquiring into the relationship between acquirer–target business similarity and mergers and acquisitions (M&A) transaction outcomes.

Relying on textual analysis of acquirers' and targets' business descriptions from M&A transaction synopses, the authors establish that posttransaction operating outcomes are negatively associated with acquirer–target business similarity.

While similar business profiles allow for optimization of overheads, sales growth and margins demonstrate better dynamics when acquirers and targets are more dissimilar, which allows for greater competitive gains. On average, targets are more dissimilar from acquirers than acquirers are from their competitors. The degree of competition within acquirers' industries and acquirer–competitors' business similarity are found to be positively associated with the likelihood of engaging in serial horizontal acquisitions involving more similar targets, mostly from the domestic market. Competitive pressure is evidenced to push acquirers for a faster completion of acquisition process. Cross-border acquisitions are found to be associated with lower acquirer–target and acquirer–competitors' similarity, which suggests that Chinese companies expand overseas primarily for strategic reasons of gaining a competitive edge rather than to simply improve sales.

The paper contributes to the limited pool of empirical literature relying on text mining techniques to establish the determinants of M&A transaction outcomes. The methodology used in the study outperforms the conventional techniques of operationalization of business similarities through General Industry Classification Standard (GICS) industry matching. The study investigates the intermediating role of intraindustry competition in fostering firms' acquisitiveness.

This paper aims to study conformity tendencies in selling, general and administrative (SG&A) expenses reporting of US firms through an institutional lens.

The paper examines intra‐industry conformity in SG&A reporting over a ten‐year period among a sample of US firms. It measures conformity by comparing a firm's SG&A profile (reported SG&A relative to sales) against a reference group of industry model firms.

Results suggest that a firm's conformity to large and successful firms' SG&A profiles is determined by the tendency of other industry members to imitate those reference models. Large audit firms (i.e. the BigN) are shown to provide an effective diffusion channel of shared industry‐based reporting templates. Different modes of trait imitation in SG&A reporting seem to coexist as long as the industry model firms are defined in terms of size and/or profitability.

The paper's results may be of interest to capital market standard‐setters and regulators by showing how regulative ambiguity created by the lack of guidance, feeds social processes that tend to fill the guidance gap.

The paper's results show that intra‐industry benchmarking of SG&A reporting plays a significant role in the USA and that international auditor networks are important in establishing and promoting industry‐based reporting formats.

The paper shows that the behavior of firms at the industry level can be significant predictors of financial reporting practices at firm level and illustrate specific, socially based mechanisms through which the institutional environment affects financial reporting decisions.

The authors' work examines whether coercive forces in the general regulatory environment lead to similarity in social media policy across industries and if memetic forces of industry-specific values and norms lead to greater similarity of social media policy within industries.

Corporate social media policies were analyzed using a convergent parallel mixed method design to assess and identify themes and similarities. Using an institutional theory lens, this paper examines whether coercive forces in the general regulatory environment lead to similarities in social media policies across industries, and if mimetic forces from industry-specific norms lead to greater similarity of social media policies within industries. Findings suggest that industry-specific, institutional field-level mimetic forces have a greater effect on social media policy isomorphism than environmental-level coercive forces. This study represents the first assessment of corporate social media policies across organizations and industries.

Findings suggest that industry-specific, institutional field-level mimetic forces have a greater effect on social media policy isomorphism than environmental-level coercive forces.

Limitations related to sampling were primarily related to policy collection. To deal with these limitations, the sample was planned to allow for the inclusion of both randomly selected North American companies from the Fortune 500 list and another random selection of 35 companies from within a convenience sample of 100 North American firms who had a publicly available social media policy online.

The authors' research speaks to management, directors and researchers who work with policy, governance or risk management as the authors demonstrate the effect regulatory and normative institutions have on social media policies: stakeholders within and without given industries are forcing firms to develop legitimacy-providing social media policies by penalizing those that do not. The authors' findings demonstrate that firms respond to the 21st Century potential corporate risk of unsanctioned social media communications by developing corporate social media policies with similar themes. By identifying the themes common in corporate social media policies, the authors have identified best practices constituting a risk mitigation tool for boards.

The authors' approach is innovative in focus and approach. First, using an institutional theory lens, the authors assess the influence of regulatory and memetic forces on social media policies as a formal structure within an institutional field. Second, the authors' approach includes the first major assessment of North American social media policies across a wide array of organizations and industries, adding to understanding about approaches currently used to manage increased social media use in the workplace.

This paper examines the nature of regional trade integration between the United States and Canada by using a Similarity Index that summarizes the behavior of exports of states along the U.S./Canadian border relative to U.S. states that are not on the Canadian border. An export Similarity Index is used to show the considerable importance of industry mix relative to distance. Similarity Index changes suggest that increased export sales between the U.S. and Canada between 1996 and 2001 were not primarily driven by proximity factors that underlie a regional phenomenon. Industry factors independent of location and distance were important contributors to changes in U.S. exports to Canada. The upshot is that global, not regional, factors may underlie increasing trade between the U.S. and Canada. That is, an apparent global phenomenon may have been mistaken for a regional one.

International specialisation in production via the development of international trade and factor movements is the basis of much of the developed world′s prosperity. This article is concerned with the forces that drive specialisation in manufacturing in the developed countries, and particularly the role played by regional economic integration in the European Community. A distinction is drawn between specialisation that takes place within (intra) and between (inter) industries with emphasis here on the latter. Specifically, the analysis seeks to explain differences in the sectoral composition of industry between pairs of countries using regression analysis. Factor endowments, per capita incomes and country size are found to influence industrial similarity. Membership of the EC and participation in the EC‐EFTA free trade areas are associated with increased inter‐industry specialisation. Movement towards a European Economic Space could accentuate this phenomenon, with important adjustment implications.

The purpose of this paper is to study the impact of intra‐industry conformity tendencies on dividend policy among a large sample of US firms.

The paper explores mimetic influences on dividend policy. Consistent with prior institutional research, the paper measures mimetic pressures as institutional prevalence or the pervasiveness of a feature of dividend policy within a firm's relevant environment.

The results reveal a significantly positive relationship between the lagged density of firms in the industry that pay a dividend and the probability of a focal firm paying a dividend. Moreover, for firms paying a dividend, results indicate that higher similarity in dividend payout among firms in the same industry induces more conformity between a focal firm and average industry practice. Overall, results are consistent with imitation in dividend policy.

The results support the view that future research on dividend policy should value social and behavioral factors more explicitly in order to arrive at a more overall and consistent explanation of firms' dividend policy. Moreover, the results also illustrate the relevance of alternative theories in explaining dividend policy.

The results show that intra‐industry benchmarking of dividend policy plays a significant role in the USA.

This study documents the relevance of social imitation mechanisms behind dividend payout behavior and therefore adds to the current knowledge of the impact of behavioral processes on dividend policy.

In a contribution to the emerging research examining Chinese cross-border acquisitions (CBAs), the authors observe experiential learning applications for enhancing M&A completions. By emphasizing knowledge transfer, the authors reveal how target-to-target industry similarity and bidder-to-target cultural distance affect learning outcomes.

Using a binary logistic regression model, the authors examine a sample of CBA attempts announced by Chinese companies from January 2002 to December 2012 to identify the variables that affect the completion of CBAs.

The authors find that foreign acquisition experience but not domestic acquisition experience enhances subsequent acquisition attempts, especially when prior and focal target companies share the dominant industrial logic. Learning transfer is negatively affected when target countries are more culturally distant from China, but learning benefits appear to increase under strong bidder-to-target cultural distance.

By investigating learning in the precompletion stage in Chinese outward CBAs, the authors complement research that uses postacquisition performance to assess learning. The authors’ more fine-grained characterization reveals that acquisition experience increases knowledge transfer through experiential learning. Furthermore, the authors show that dominant industrial logic and cultural distance are underexplored contextual conditions, although they interact with foreign and domestic experience to affect the completion of CBAs.

Purpose – Revisiting Fornell et al.'s (1996) seminal study, this chapter looks at the evidence for observed and unobserved heterogeneity within data underlying the American customer satisfaction index (ACSI) model. Examining data for two specific industries (utilities and hotels) reveals only modest differences. However, we suppose that unobserved heterogeneity critically affects the results. These insights provide the basis for shaping further differentiated ACSI model analyses and more precise interpretations.

Methodology/approach – This study applies the partial least squares (PLS) path modeling method and uses empirical data to estimate and compare the ACSI model results on the aggregate and industry-specific data levels. In addition, the finite mixture PLS path modeling (FIMIX-PLS) method is employed to further examine across industry similarities and within industry differences.

Findings – This research uncovers unobserved heterogeneity that guides forming three segments of customers within each industry. The major segment in each industry represents customers that are fairly loyal (i.e., neither disloyal nor extremely loyal) while the other two smaller segments are not as similar across the two industries. Our study identifies substantial differences across these segments within each industry. An importance-performance map analysis illustrates these differences and provides the basis for managerial implications.

Originality/value of the chapter – The unobserved heterogeneity revealed within industries in a given country (i.e., the United States of America) underlines the need to be open to differences within populations, beyond the observed heterogeneity across distinct groups or cultures, and the need to reconsider reporting requirements in academic research.

This study aims to examine the association between audit report lag (ARL), the length of time between the fiscal year end and the date the auditors’ report is signed, and client industry homogeneity, a measure of the similarity of operations of members of an industry.

Regression models are used to test the significance of industry homogeneity on the ARL, of specialists in homogenous industries on the ARL, and the completion of the audits of homogenous industry clients in the year of tightening Securities and Exchange Commission (SEC) filing deadlines.

The evidence suggests that auditors complete audits of clients more quickly in more homogenous industries. The association between ARL and homogeneity is negative, which indicates that auditors are more efficient in audits in homogenous industries. The association between ARL and specialist audits in homogenous industries is also negative. Finally, homogenous industry audits are better able to be completed by the compressed filing dates imposed by the SEC on accelerated and large accelerated filers in 2003 and 2006.

This study extends recent research on industry homogeneity’s influence on the audit market. By reporting an association between the homogeneity of a company’s industry and the ARL, investors and regulators have additional information to better evaluate the timing and monitor trends in the timing of the audit report dates.

We consider conditions under which firms hire an intermediary advisor in acquisition deals. Although acquirers pay large advisory fees to investment banks for their assistance in acquisitions, we know little about the conditions under which acquirers form a relationship with an investment bank for an acquisition deal. Specifically, we examine the role of overall acquisition experience, acquisition experience specific to the target’s industry, prior relationship-specific experience, and deal size in relationship formation and continuation. We test their hypotheses using a dataset of US-based acquirers and targets between 1991 and 2015. Our findings provide nuanced insights into the role of acquisition experience for acquirer–investment bank pairing up on acquisition deals.