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As a means of contributing to the literature surrounding the evolution and growth of firms, this paper seeks to outline the explanatory concept of growth trigger points. It aims to examine the forces that propel firms towards different stages of growth and argues that high‐growth firms (HGFs) often encounter important “trigger points” that can affect their growth capabilities. The paper's main aim is to define, conceptualise and illustrate the role of trigger points in promoting rapid growth within businesses.

The primary methodological approach used was intensive case study research of HGFs in Scotland. The case studies, 40 firms in total, were compiled using a mixed method research approach that included, inter alia, background desk research, firm interviews and interviews with business advisers.

The research discovered that growth trigger points are extremely diverse and play a major role in shaping the growth trajectory of firms, and highlights three main types of trigger points. While trigger points can fundamentally reconfigure organisations, providing a catalyst for a business to undertake a period of rapid, transformative growth, these events can conversely cause severe organisational turbulence or even decline. Often the critical period determining the ultimate success of the growth opportunity presented is the post‐trigger transition period identified by the authors.

The paper aims to inform public policy on how to support high‐growth entrepreneurship. From a policy perspective, understanding these trigger points is essential for helping policymakers to prioritise and optimise their interventions to help promote rapid firm growth.

The paper's unique contribution to the literature is to help conceptualise how firms move along a growth trajectory, by introducing the novel concept of growth “trigger points”. The paper also seeks to inform public policy, so that interventions can be better attuned to the requirements of dynamic growth businesses.

Describes control triggers as signals which initiate the right activity to occur at the right time in a process, and discusses them as a previously unrecognized category of internal control methods. Argues that, unlike traditional control mechanisms, control triggers are not dependent on the beaurocracies which world‐class companies are now dismantling. Asserts that while control triggers are important to the control and application of all organizational processes, they are particularly critical to the application of world‐class management practices, affecting the reliability, efficiency and effectiveness of an organization’s operations.

Recent studies have argued that companies may actively implement practices to mitigate disruptions in their supply chain and reduce the extent of damage on performance. Other studies have shown that disruptions may propagate in supply chains, leading to consequences that are more negative and raising doubts on the effectiveness of mitigation strategies implemented downstream. This study investigates the influence of supply chain complexity on the two phenomena and their interplay, taking a focal company's perspective.

A systematic procedure for data collection, encoding and aggregation based on incident data mainly from secondary sources was used. Multiple regression models were run to analyse direct and moderation effects involving resilience, distance of impact location from trigger point, and supply chain complexity on weighted performance change.

Supply chain complexity is found to have positive moderation on the ripple effect of disruption. Resilience capability remains to have dominating direct positive effect in mitigating disruptions when supply chain complexity is taken into account.

This study extends the research discourse on supply chain resilience and disruption management with focus on the supply side. It demonstrates that, along with the severity of the disruption scenario, the ripple effect must also be considered when analyzing the benefits of resilience practices implemented by the focal company.

Complexity in the supply chain can only help to smooth-out the rippling effects of a disruption, which go largely beyond supply-demand unbalances and lead time fluctuations. To mitigate it better, the focal company has to act proactively with adequate resilience practices, which also connects to the importance of better visibility across multiple supply chain tiers.

To the best of the authors' knowledge, this is the first study that empirically tests the benefits of resilience practices and the ripple effect of disruptions under the moderation role of supply chain complexity.

This paper focuses on employees’ motivation to participate in innovation at the workplace. The best arguments to persuade employees to renew their work were searched. According to the expectancy theory (Vroom, 1964), a plausible link must be perceived for a motivational state to arise. The paper investigated the perceptions that employees, team-leaders and directors have about the relationships between innovativeness and well-being.

The data consisted of thematic interviews with 14 persons from knowledge- and labour-intensive organisations in the public service sector. Data included material from directors, team-leaders and front-line workers. The theoretical model of Huhtala and Parzefall (2007) was applied to analyse perceptions about links between well-being and innovativeness.

Results indicated that all eight possible links between well-being and innovativeness were perceived as plausible. The most common views were that high innovativeness connects to high well-being and vice versa. Additionally, low well-being was seen to decrease innovativeness. All organisational levels of knowledge- and labour-intensive organisations shared these views. More specifically, the interviewees shared the view that participating in innovation activities gives the employee opportunities to influence one’s work, which in turn leads to well-being. Another commonly shared perception was that if employees were encouraged and praised for their efforts, innovativeness would increase. These provide plausible arguments for leaders to persuade employees to participate.

Practical advice about effective arguments for motivating employees is given: tell them that innovativeness is desired for, time and space is allocated for innovations, the amount of change will be managed, and the innovation activities present an opportunity to have voice.

This paper shows potential motivational trigger points for enhancing the interaction between well-being and innovation.

This study analysed the effect of online negative word-of-mouth (nWOM) firestorms in the retail banking sector. By understanding negative sentiment and sentiment recovery across an entire retail banking sector, the research exposed a unique view of banking in South Africa.

The study made use of both a sentiment and topic analysis of over 1.7 million social media posts in South Africa. The methodology made use of both NLP and human validation techniques to measure changes in social media sentiment during online firestorms. This measurement included each of South Africa's major retail banks over a twelve month period.

From the analysis, key trigger characteristics for these firestorms (product failures, service failures, social failures and communication failures) were categorised. In addition, the average duration of a firestorm was calculated and factors that impact sentiment recovery were explored.

The study was located in South Africa and, unlike firm level studies, researched nWOM for the whole retail banking sector. A theoretical footprint depicting the typical anatomy of a firestorm was derived in order to aid stakeholders to be more vigilant and better equipped to provide correct intervention in such times of crisis.

The purpose of this paper is to report an investigation of the effect of location on refurbishment strategies to reduce greenhouse gas (GHG) emissions using the temperate and sub-tropical urban locations in Australia. This occurred within a larger research project that investigated methods for sustainable refurbishments to office buildings and their optimized timing from an investment perspective.

An office building in Melbourne was used to develop seven sets of improvements using an integrated approach to upgrade mechanical services and the building envelope. Using asset management trigger points the impact on net present value and internal rate of return were calculated, taking into account the capital expenditure required, the energy savings due to the refurbishment, as well as a possible rental increase due to the upgrade and lesser operational energy bills for the tenants. To investigate the importance of the location attribute the upgraded building’s performance was modelled in a different climate by using a Brisbane weather file.

A number of unexpected results were found, including that the same sets of improvements had similar reductions in GHG emissions in the two locations, they had similar impacts on the investment criteria and when using the National Australian Building Energy Rating System it was shown that it was easier and cheaper to get an uplift in stars in Melbourne than Brisbane.

This location-specific analysis is the result of using a more sophisticated and holistic methodology to analyse sustainable refurbishments that more closely resembles the complexity of the decision making required to make buildings more sustainable.

This paper provides a basis for property investors to make decisions about sustainable investments when location is important. This can occur when a portfolio is distributed across various climate zones.

The research project that the paper reports addresses the complexity of building attributes, possible sets of improvements to reduce GHG emissions and their investment decisions, within a life cycle view of assets. It is rare that this complexity is addressed as a whole, and rarer that locational climatic differences are examined.

This chapter has been seminal work of Dr K.S.S. Iyer, which has taken time to develop, for over the last 56 years to be presented here. The method in advance predictive analytics has developed, from his several other applications, in predictive modeling by using the stochastic point process technique. In the chapter on advance predictive analytics, Dr Iyer is collecting his approaches and generalizing it in this chapter. In this chapter, two of the techniques of stochastic point process known as Product Density and Random point process used in modelling problems in High energy particles and cancer, are redefined to suit problems currently in demand in IoT and customer equity in marketing (Iyer, Patil, & Chetlapalli, 2014b). This formulation arises from these techniques being used in different fields like energy requirement in Internet of Things (IoT) devices, growth of cancer cells, cosmic rays’ study, to customer equity and many more approaches.

The purpose of this paper is to espouse Triggernomic Repair Process Analysis (TRAP), a nonlinear theoretical methodology employed to stress the importance of an informed approach to the diagnosis and prognosis of structural building defects at the owner‐occupier level.

TRAP analysis focuses on the diagnosis limitations relating to house repair and maintenance among owner‐occupiers in the UK, based on a stratified random survey of owner‐occupiers' maintenance decisions.

It is concluded that lack of technical skills‐knowledge awareness is one of the main deterrents to efficient defect diagnosis. The failing on defect diagnosis is broadly defined as resulting from Chronic Deficiency of Defects Diagnosis (CD³). CD³ is furthermore conceptualised as a theoretical dichotomy construct which persists due to Chronic Diagnosis Failure (CDF) and Chronic Misapplication of Maintenance Remedies (CMMR).

The constructs identified help to explain why owner‐occupier housing disrepair remains high and a source of concern among practitioners in the UK. A pro‐maintenance housing regeneration agenda is imminent in order to promote technical skill‐knowledge awareness and the effectiveness of the maintenance decision making among owner‐occupiers.

This chapter seeks to elaborate on the concept of complexity theory when applied to destination management, using Mount Rigi (an important recreational and tourism destination in Lucerne, Switzerland) as the focus of the case study. This study supports an alternative view of complexity theory which can help to explain the dynamic, nonlinear, and nondeterministic relationships within the tourism system. It also supports the theory’s applicability toward explaining the nature of tourism as a complex adaptive system, and reveals that Mount Rigi’s development did not occur in isolation, but involved various interdependent tourism components and external factors at both the macro and micro levels.