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Defines clear steps for growth planning that support answers to the crucial question: How and where are you planning to scale up the business and what talent do you need to implement this?

As the “Business model value matrix” shows, having ‘happy customers’ is only one determinant of a business model’s success. The other essential block of diagnostic questions deals with the current state and prospects of the firm’s growth.

We found that companies that have found ways to keep their business models in a winner’s state can provide clear, evidence-based answers to questions about growth opportunities and risks, while their less successful peers have difficulty addressing the issues. Continuous collecting and analyzing of this information allows successful companies to embrace the strategy-as-learning model of development, built around active learning and proactive adjustment to evolving environment.

To develop a strategy for moving to and sustaining the Winner state, managers must clearly articulate and test a set of hypotheses about the mechanisms of their company’s growth. The first step on this path is related to obtaining a clear view on the factors that underpin the current financial performance.

High-performance cultures make sure that each manager has the clear answers to the questions of value, growth and digitization in order to learn, experiment and implement the company business model agenda. The unproductive cultures, on the other hand, are sustained by managerial teams that usually do not have the answers to these crucial questions, but are very good at political games.

This paper aims to examine the Canadian financial sector’s reaction to opportunities and risks created by the green bond market in a low-carbon and climate-resilient (LCR) economy.

The authors used a concurrent mixed methodological approach that undertakes an online survey and semistructured interviews with critical green bond market stakeholders.

The most significant market driver in Canada is the reputational benefit for stakeholders, i.e. its ability to meet the high demand for sustainable finance and the marketing potential of its green credentials. The major market barriers are transactional costs, i.e. additional tracking required for reporting purposes, lack of market liquidity and identification of environmental impact or additionality. Canadian green bonds are also more likely to be evaluated on their green impact than their global market peers.

Limitations of this study include its focus on Canada, which may exclude or not apply to drivers and barriers in other green bond markets.

The paper helps create an accounting-based conceptual framework for key motivations and barriers that affect financial decision-making regarding green bonds.

The authors identify economic and policy-related barriers and drivers for green bonds, addressing the financing gap for the LCR economy.

To the best of the authors’ knowledge, this study is the first to identify and compare Canadian green bond market drivers and barriers and to examine relevant stakeholder- and policy-related approaches that can be targeted to scale this market effectively.

The purpose of this study is to explore the exogenous and endogenous drivers of the high-growth of Unicorn start-ups along their life cycle, with a particular focus on Unicorns in the fintech industry.

The study employs an explorative longitudinal analysis with a matched-pair of two cases of Unicorns start-ups with similar antecedent features to understand holistically drivers over the longer term.

High-growth patterns over the longer term are the result of a combined industry- and company-life cycle perspective. Drivers and growth patterns vary significantly according to the time of entry in the industry and its development status. The findings are systematised within a set of propositions to be tested in future research.

The limitations lie in empirical evidence, as the analysis is limited to one-matched-pair. The revealed Unicorns' drivers for long-term growth might encourage future research to further investigate these drivers on a larger scale.

The study offers practical recommendations for start-ups with high-growth ambitions and advice to policy makers regarding the development of tailor-made support programs.

The study significantly extends extant work on growth and high-growth by examining endogenous and exogenous triggers over time and by linking the Unicorn-life cycle to the industry life cycle, an approach which has, to the best of the authors’ knowledge, not yet been applied.

The detrimental impacts of the construction industry activities, namely, toxicity of cement and concrete to the health of construction workers and the general public, have been reported in previous studies. Several environmental management measures were put in place by international organisations to reduce these impacts on humans and the entire ecosystem. Sadly, such environmental management measures are not widely embraced in the construction industry of developing countries. This contributes to the poor quality of life of construction stakeholders, amongst other outcomes. Therefore, this study investigated the drivers to facilitate an environmental management system (EMS) in the Nigerian construction industry (NCI).

questionnaires retrieved from construction professionals in the micro, small, medium and large enterprises were used to conduct both descriptive and inferential statistics, namely, mean score, standard deviation, Kruskal–Wallis H test, post hoc test and factor analysis.

The analyses show that the drivers of EMS implementation in the NCI could be grouped into intellectual enhancement strategies, documentation and cultural strategies, and motivation and tracking strategies. The study concluded that training and education of relevant stakeholders, tracking compliance levels of organisations and recognising firms acting in compliance with stipulated “environmental” policy are essential. It was recommended that the collaboration of all construction stakeholders be upheld to aid EMS implementation in the NCI.

This paper investigated the drivers of EMS with the opinions of construction professionals in the mainstream of the NCI through survey using to ensure wide coverage of respondents. Investigating the view of construction professionals in the micro, small, medium and large enterprises helped determine possible significant differences. Thus, practical implications of the study were also provided in a systematic manner.

In the past decade, radio frequency identification devices (RFIDs) have attracted the attention of the construction industry, having been proven to be an effective technology for addressing operational challenges in other industries such as health-care, retail and manufacturing. Despite the benefits, the use of RFID in construction industry is limited even in the face of inefficiencies that exist and that the need for improvement is yet to drive the widespread adoption in the residential/commercial construction industry. The purpose of this study is to investigate key drivers and critical success factors for RFID adoption.

The study included extensive and systematic literature review, interviews and questionnaire survey.

The study revealed that the most important key driver for RFID adoption is productivity improvement, while the most important critical success factors include management support and commitment, having clear RFID strategy, needs and benefits, having strong motivation for improvement, providing adequate funding and proper planning.

This study provides an exploratory framework that can be used by construction company executives and managers to provide justification for deciding to implement RFID on their projects and to enhance success rates of implementation.

This study contributes to the knowledge on RFID use in residential/commercial construction industry and provides a basis for further investigation by construction management researchers on the emerging issues regarding RFID use in the construction industry.

Algorithms are widely used to manage various activities in the gig economy. Online car-hailing platforms, such as Uber and Lyft, are exemplary embodiments of such algorithmic management, where drivers are managed by algorithms for task allocation, work monitoring and performance evaluation. Despite employing substantially, the platforms face the challenge of maintaining and fostering drivers' work engagement. Thus, this study aims to examine how the algorithmic management of online car-hailing platforms affects drivers' work engagement.

Drawing on the transactional theory of stress, the authors examined the effects of algorithmic monitoring and fairness on online car-hailing drivers' work engagement and revealed the mediation effects of challenge-hindrance appraisals. Based on survey data collected from 364 drivers, the authors' hypotheses were examined using partial least squares structural equation modeling (PLS-SEM). The authors also applied path comparison analyses to further compare the effects of algorithmic monitoring and fairness on the two types of appraisals.

This study finds that online car-hailing drivers' challenge-hindrance appraisals mediate the relationship between algorithmic management characteristics and work engagement. Algorithmic monitoring positively affects both challenge and hindrance appraisals in online car-hailing drivers. However, algorithmic fairness promotes challenge appraisal and reduces hindrance appraisal. Consequently, challenge and hindrance appraisals lead to higher and lower work engagement, respectively. Further, the additional path comparison analysis showed that the hindering effect of algorithmic monitoring exceeds its challenging effect, and the challenge-promoting effect of algorithmic fairness is greater than the algorithm's hindrance-reducing effect.

This paper reveals the underlying mechanisms concerning how algorithmic monitoring and fairness affect online car-hailing drivers' work engagement and fills the gap in the research on algorithmic management in the context of online car-hailing platforms. The authors' findings also provide practical guidance for online car-hailing platforms on how to improve the platforms' algorithmic management systems.

Rivigo, a new entrant in the trucking business in India, believed that a new paradigm in the trucking/logistics industry could be brought about that would not only improve the quality of service dramatically, but also upgrade a truck driver's lifestyle. While the industry faced driver shortage largely due to long stays away from home, Rivigo hoped to attract drivers by offering them roles which would bring them back home in 24 hours. Drivers would be part of a relay, handing over the truck at pit stops. Further, they leveraged an IT-enabled IoT platform on a fleet of owned trucks. All this revolutionized most of the traditions then followed in the industry. The entrepreneur and his core team comprised professionals from premium institutes of the country, with experience in professional organizations in related domains. By offering services like assured delivery at half the time and full shipment visibility, Rivigo had to charge a premium to market segments that would value this. The case raises the question of sustainability in the future.

Using data spanning 145 years for Sweden, the authors investigate the benefits of holding multi-family properties for investors who aim to hedge wage growth.

The authors assess the risk-adjusted excess return that results from adding multi-family properties to a mixed-asset portfolio that aims to track wage growth. The authors also analyse the macroeconomic determinants of asset returns. Finally, the authors test whether a causal relationship exists between the growth rate of real wages and that of real net operating income.

The benefits from holding multi-family properties are the greatest for low-risk allocation approaches. For more risky strategies, the role of real estate is more muted, and it varies greatly over time. Holding real estate was most beneficial during the first two decades of the 21st century. Multi-family properties are found to be the only asset class to be positively related to wage growth. The authors show that the net operating income acts as the transmission channel between wages and property returns.

The paper assesses whether the growing interest of pension funds for multi-family properties is warranted in the context of a portfolio that aims to track wage growth.

Using long term data makes it possible to use a rolling windows approach and hence to consider multiple outcomes for an allocation strategy over a typical investment horizon. This permits to assess the dispersion of performance across several periods rather than just one as is commonly done in the literature. The results show that the conclusions that would be drawn from looking at the past two or three decades of data differ substantially from those for earlier time periods.