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This research paper aims to investigate detailed relationships between market selection and product positioning decisions and their associated short- and long-term product performance outcomes in the context of the music category: a cultural goods industry with high amounts of product introductions. Market selection decisions are defined by the size, competitiveness and age of market subcategories within an overall product category. Positioning decisions include where a product’s attributes are located spatially in the category (periphery versus the market center), whether a product resides within a single subcategory or spans multiple ones and what brand strategy (single versus co-branding) is used.

Data are from multiple sources for the US music industry (aka product category) from 1958 to 2019 to empirically test the hypotheses: genres (rock, blues, etc.) correspond to subcategories; artists to brands; and songs to products. Regression analyses are used.

A complex set of nuanced results are generated and reported, finding that key marketing decisions drive short-term new product success differently and frequently in opposing ways than long-term success. Launching into very new, well-established or very competitive markets leads to the strongest long-term success, despite less attractive short-run prospects. Positioning a product away from the market center and spanning subcategories similarly poses short-run challenges, but long-run returns. Brand collaborations have reverse effects. Short-run product success is found, overall, to be difficult to predict even with strong data inputs, which has substantial implications for how firms should manage portfolios of products in cultural goods industries. Long-run product success is considerably more predictable after short-run success is observed and accounted for.

While managers and firms in cultural goods industries have long relied on intuition to manage market selection and product positioning decisions, this research tests the hypothesis that objective data inputs and empirical modeling can better predict short- and long-run success of launched products. Specific insights on which song characteristics may be associated with success are found – as are more generalizable, industry-level results. In addition, by distinguishing between short- and long-run success, a more complete picture on how key decisions holistically affect product performance emerges. Many market selection and product positioning decisions have differential impacts across these two frames of reference.

In competitive environments, explicitly seeking institutional changes to adopt a new technology, rather than exploiting current resources, can harm more than help organizations’ efforts to achieve their performance goals. However, institutionally embedded organizations often respond to the introduction of industry disruptive technology in counterproductive ways. This paper aims to study the paradox of embedded agency in competitive environments and explore the diffusion of new occupations associated with data analytics.

This study uses the context of the Major League Baseball where the digital platform, PITCHf/x, implemented during 2006 and 2007 seasons facilitated the professional baseball clubs to create occupations for data analytics.

This study found that long-term low performance of organizations resulted in creating occupations for a new technology and deploying professionals to them and the public media’s negative tenor mediated the relationship between the signal of institutional inefficiency and such a boundary work in a competitive environment.

This research enriches our understanding of the early disperse of a new occupation in the times of the emergence of digital platform by exploring the temporal attributes of organizational performance and the role of public media as the antecedents to embedded agency.

Today’s small enterprises are forced to rethink their business-as-usual management and shift toward corporate sustainability. The empirical paper responds to a crucial quest for many modern leaders and entrepreneurs, specifically small business owners in emerging economies. This paper aims to answer what they can do to increase long-term financial performance and enhance stakeholder satisfaction, thereby contributing to long-term business sustainability.

Using a convenience sampling, data were collected from a sample of 280 business leaders and entrepreneurs of small enterprises across industries in an emerging economy of Thailand. This study used a sustainable leadership research framework. Factor analysis and multiple regression analysis were used for data analysis.

Seven valid and reliable leadership factors were uncovered as new underlying leadership constructs to examine business sustainability in small entrepreneurial enterprises in Thailand. Results from multiple regressions revealed two significantly positive factors or drivers (i.e. trusting, innovative team orientation and strong, shared vision) for enhanced two sustainability performance outcomes (i.e. financial performance and stakeholder satisfaction). The findings thus contribute to advance our limited knowledge about the contextualised constructs and possible theoretical development of the developing research realm.

Successful small entrepreneurial organisations in Thailand and other emerging economies that wish to improve their business sustainability are suggested to adopt the essential leadership and management practices (i.e. trusting, innovative team and strong, shared vision). Future studies may examine data from a larger sample size and other countries to expand our limited understanding in different contexts.

The resulting practical insights can be used to guide business leaders, entrepreneurs, practitioners and policymakers towards making strategic priorities and investments for improved business competitiveness, resilience and sustainability in small entrepreneurial enterprises. Overall, this study may be a starting point for further investigation on developing entrepreneurial growth and business sustainability in small sustainable enterprises across emerging economies.

The paper responds to calls for more contextualised research studies in the evolving multidisciplinary field of entrepreneurial leadership and business sustainability, particularly in an emerging economy of Thailand. It also unveils the essential strategic leadership factors that positively drive business sustainability in small entrepreneurial firms. And, it empirically examines the effects of diverse strategic leadership factors and multiple sustainability performance outcomes in a single study. It further proposes an emergent leadership-performance model for entrepreneurial business sustainability in the context-specific study. Above all, it advances the currently limited empirical knowledge in the emerging research front towards more sustainable futures.

This paper investigates the puzzle of mergers and acquisitions’ (M&A) long-term performance through the strategic management perspective. The authors measure the M&A capability construct and test its relationship with the long-term performance of the firms.

The study employs a natural language processing (NLP) methodology to quantify unstructured data from 564 annual reports and 2,602 M&A synopses from January 01, 2013 to December 31, 2016. The authors combine qualitative document analysis with a quantitative method using a multiple regression analysis model.

Among serial acquirers, M&A capability positively relates to long-term firm performance measured by both return on equity and price-to-book value. The authors also find that the size of the company and the number of acquisitions influence the M&A capability, confirming previous results in the literature.

Detailed M&A management plans are usually confidential and not fully reported. Future studies could employ enhanced artificial intelligence tools to measure the M&A capability construct beyond filing reports, encompassing interviews, social media posts, press releases and other unstructured data sources.

Firms can improve their M&A capability by understanding the underlying foundation of the construct provided in the research. Additionally, researchers can build on the methodology employed using advanced NLP tools to measure M&A capability.

Improving their M&A capability would allow firms to better choose their targets and conduct a superior integration process, which could prevent distressing mergers, unnecessary negative social impacts and culture disruption. As a result, the ensuing organization would be stronger, and the long-term performance would improve.

This study addresses gaps in the literature on M&A performance and provides a new empirical method to measure the M&A capability.

This paper aims to investigate the long-run financial and environmental performance of corporate green bond issuers, worldwide.

The data includes 259 corporate green bond issuers from 2013 to 2020. The authors adopt the matching approach, using the nearest neighbor method to select the control firms. The event-time approach is used to examine corporate green bond issuers’ long-run stock market performance, and robustness tests are conducted using the calendar-time method. The authors examine green bond issuers’ long-run environmental performance and carbon dioxide (CO₂₎ emissions using difference-in-differences estimations.

In contrast with the earlier long-run event studies, our results reveal that multiple-time issuers, and issuers operating in industries where the natural environment is financially material, perform financially in the long term relative to the control firms. The authors also document that corporate green bond issuers reduce their CO₂ emissions, and improve their resource use efficiency and environmental performance, in the long run.

To the authors’ knowledge, this is the first study that looks at the long-run effect of corporate green bond issuance on firms’ stock market performance. It has the particularity to document that corporate green bond issuance is beneficial for investors and positively affects the environment. Our findings help us understand that firms do not issue green bonds for greenwashing.

This study aims to thoroughly examine and understand the relationship between working capital management (WCM) and the sustainable financial performance (FP) in the context of the New Zealand companies listed on stock exchange.

This study has applied various regression techniques to examine WCM and the sustainable FP relationship. The data set period is from 2009 to 2019. The results are robust upon various layers of robustness parameters. The system-generalized method of moments is applied for managing endogeneity issue.

The research reveals compelling evidence of a meaningful connection between WCM and sustainable FP indicators. The study specifically highlights the significant negative associations between the cash conversion cycle, average collection period and average age of inventory with the firm’s sustainable FP. Through robust analyses and various parameter adjustments, the study ensures the credibility and reliability of its conclusions, further reinforcing the impact of WCM on the financial health of New Zealand-listed firms.

This study provides future directions for researchers to explore the dynamic relationship between WCM and a firm sustainable FP because it is still a demanding and challenging area. Future research may care to explore the optimal way to reduce the cash conversion cycle, average collection period and average age of inventory for New Zealand firms. The current study does provide insights to NZ financial managers, which is useful for improving sustainable FP by efficiently managing WCM.

WCM is problematic and constitutes a notable challenge; it requires further research, especially in small economies such as New Zealand. Hence, it is an updated and fresh attempt based on a larger data set to measure the empirical relationship between WCM and the sustainable performance of New Zealand-listed firms. Furthermore, the current study uses dynamic panel data estimation techniques in addition to multiple regression techniques.

This study aims to develop a hierarchical reliability framework to evaluate the service delivery performance of education public–private partnerships (PPPs) effectively and efficiently during long-term operations.

The research design included development and test phases. In the development phase, three performance layers, i.e. indicator, component and system, in the education service delivery system were identified. Then, service component reliability was computed through first order reliability method (FORM). Finally, the reliability of the service system was obtained using dynamic component weightings. A PPP school example in Australia was set up in the test phase, where performance indicators were collected from relevant contract documents and performance data were simulated under three assumptive scenarios.

The example in the test phase yielded good results for the developed framework in evaluating uncertainties of service delivery performance for education PPPs. Potentially underperforming services from the component to the system level at dynamic timepoints were identified, and effective preventative maintenance strategies were developed.

This research enriches reliability theory and performance evaluation research on education PPPs. First, a series of performance evaluation indicators are constructed for assessing the performance of the service delivery of the education PPP operations. Then, a reliability-based framework for service components and system is developed to predict service performance of the PPP school operations with consideration of a range of uncertainties during project delivery.

The developed framework was illustrated with a real-world case study. It demonstrates that the developed reliability-based framework could potentially provide the practitioners of the public sector with a basis for developing effective preventative maintenance strategies with the aim of prolonging the service life of the PPP schools.

Evaluating education PPPs is challenging as it involves long-term measurement of various service components under uncertainty. The developed reliability-based framework is a valuable tool to ensure that reliability is maintained throughout the service life of education PPPs in the presence of uncertainty.

Although founders are often replaced with external CEOs prior to firms making IPOs, firms that do retain founder CEOs generally perform better at IPO. However, this relationship may be contingent upon context. This study aims to investigate how national context influences the relationship between a founder CEO and IPO long-run performance. The authors hypothesize that founder-CEOs will perform better in IPO firms in countries where managerial discretion, future orientation, and the level of conformity to professionalize management are high, and uncertainty avoidance is low.

Using insights from the upper echelon and institutional theory, the authors used hierarchical linear modeling to analyze over 1,000 firms across eight countries.

Founder CEOs perform best in IPO firms in a national context where managerial discretion is low, uncertainty avoidance is high and the level of conformity is high.

This study contributes to a growing area of cross-national IPO research in management by investigating the relationship between culture, management and IPO performance.

The purpose of the study was to analyse the impact of innovation ambidexterity represented by explorative and exploitative innovation capabilities and their combined effects on product innovation performance and to prove the mediating effect of decentralization.

The study uses partial least squares for structural equation models and SmartPLS version 3.3.1 on a sample of 174 Romanian medium- and large-sized firms from the IT industry to test six research hypotheses. To measure innovation ambidexterity, the orthogonal approach was used, conceptualizing innovation ambidexterity as a multidimensional, second-order construct composed of explorative and exploitative innovation capabilities. Innovation ambidexterity was conceptualized as a multiplicative term of both explorative and exploitative innovation capabilities.

The empirical results prove that innovation ambidexterity is positively correlated with product innovation performance, while decentralization is mediating the impact of innovation ambidexterity on product innovation performance in the IT industry.

The data was based on self-reported assessments of senior executives. While innovation ambidexterity may influence product innovation performance in the long term, such long-term effects are not assessed. Other studies found a moderating effect between centralization or decentralization and ambidexterity, while we found that it has a mediating effect.

In the context of innovation capability, the combination of explorative or exploitative capabilities may lead to a better synergy. Innovation ambidexterity influences product innovation performance through a synergistic effect, making the simultaneous combination of capabilities useful for firms willing to make efficient use of existing resources and make their capabilities mutually supportive. Moreover, for senior executives, the effects of decentralization as a mediator provide further incentive to include it in their development of firms' innovation capabilities.

This study extends findings of other studies by contributing to a deeper examination of the effects of decentralization, on innovation outcomes by focusing on a specific type of innovation, product innovation. Moreover, since innovation capability is often studied in small firms or in the manufacturing industry, this study contributes to the research on innovation capability and the consequences on innovation capability in the services sector and medium- and large-sized companies. By proving that decentralization mediates the effects of innovation ambidexterity on product innovation performance, it enables reconsideration of the organizational structure role in fostering innovation.

This paper aims to verify whether the integration of sustainability in executive compensation positively affects firms’ non-financial performance and whether corporate governance characteristics enhance the relationship between sustainability compensation and firms’ non-financial performance and to expand the domain of the impact of sustainability on non-financial performance.

This analysis is based on a sample of companies listed on the Milan Italian Stock Exchange from the Financial Times Milan Stock Exchange Index over the 2016–2020 period. Regression analysis was used by using data retrieved from the Refinitiv Eikon database and the sample firms’ remuneration reports.

The findings of this paper show that embedding sustainability in executive compensation positively affects firms’ non-financial performance. The results of this paper also reveal that specific corporate governance features can improve the impact of sustainability on non-financial performance.

This analysis is limited to Italian firms included in the Financial Times Milan Stock Exchange Index; however, the findings are highly significant.

The findings provide regulators with useful insights for considering the integration of sustainability goals into executive remuneration. Another implication is that policymakers should require – at least – listed firms to fulfil specific corporate governance structural requirements. Finally, the findings can provide investors and financial analysts with a greater awareness of the role played by executive remuneration in the long-term value-creation process.

This paper contributes to addressing the relationship among sustainability, remuneration and non-financial disclosure, drawing on the stakeholder–agency theoretical framework and focusing on Italian firms. This issue has received limited attention with controversial results in the literature.